From 580cecbfd5af46706260fc7b677f1a18715050cd Mon Sep 17 00:00:00 2001 From: mrustl Date: Mon, 12 Jul 2021 15:16:40 +0200 Subject: [PATCH 01/33] Results for adapted bioretention cell scenarios developed today together with Kim and Marc (telephone call 2021-07-12) --- data-raw/performances.R | 2 +- data/performances.rda | Bin 949032 -> 698428 bytes .../scenarios/swmm_lid-parameterisation.xlsx | Bin 21757 -> 22114 bytes 3 files changed, 1 insertion(+), 1 deletion(-) diff --git a/data-raw/performances.R b/data-raw/performances.R index cc14722..cc29edb 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -14,7 +14,7 @@ paths <- kwb.utils::resolve(paths_list) ### Bioretention Cell br <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "bioretention_cell",], - lid_area_fractions = c(0, 0.05, 0.1, 0.2), + lid_area_fractions = c(0,1), catchment_area_m2 = 1000, swmm_exe = paths$swmm_exe ) diff --git a/data/performances.rda 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14 Jul 2021 14:57:15 +0200 Subject: [PATCH 02/33] Perform for lid_area_fraction 0, 0.5 and 1 --- data-raw/performances.R | 19 ++++++++++--------- data/performances.rda | Bin 698428 -> 779124 bytes vignettes/scenarios.Rmd | 22 +++++++++++++--------- 3 files changed, 23 insertions(+), 18 deletions(-) diff --git a/data-raw/performances.R b/data-raw/performances.R index cc29edb..c710957 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -10,40 +10,41 @@ paths_list <- list( paths <- kwb.utils::resolve(paths_list) ### takes about 2.5h for all four LIDs to simulate +catchment_area_m2 <- 1000 +lid_area_fractions <- c(0,0.5,1) ### Bioretention Cell br <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "bioretention_cell",], - lid_area_fractions = c(0,1), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) ### Green Roof gr <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "green_roof",], - lid_area_fractions = c(0,1), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) ### Permeable Pavement pp <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "permeable_pavement",], - lid_area_fractions = c(0, 1), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) ### Rain Barrel rb <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "rain_barrel",], - lid_area_fractions = c(0, 0.1, 0.2, 0.4), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) - performances <- br %>% dplyr::bind_rows(gr) %>% dplyr::bind_rows(pp) %>% diff --git a/data/performances.rda 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zI%)g);|u;-h35IE)=t6TBCdJE1h}IEF!tBJt^VNEvyphB0e=8hJEqX^Cd$-qbP8FM zvFoHkd3u%jrO3J5gYYU1xd;!Fk1t|zX>HVSZkULD zkfqEEedb?|h qed>&n=>PycwO8l>0hG`xvZ~TF00010A-j#6<555Z000000a;p9q3gH+ diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 0529cc4..371b19f 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -44,43 +44,47 @@ run) on my laptop. ```{r simulate_performances, eval = FALSE} +### takes about 2.5h for all four LIDs to simulate +catchment_area_m2 <- 1000 +lid_area_fractions <- c(0,0.5,1) + ### Bioretention Cell br <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "bioretention_cell",], - lid_area_fractions = c(0, 0.05, 0.1, 0.2), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) ### Green Roof gr <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "green_roof",], - lid_area_fractions = c(0,1), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) ### Permeable Pavement pp <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "permeable_pavement",], - lid_area_fractions = c(0, 1), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) ### Rain Barrel rb <- keys.lid::simulate_performances( lid_selected = scenarios[scenarios$lid_name_tidy == "rain_barrel",], - lid_area_fractions = c(0, 0.1, 0.2, 0.4), - catchment_area_m2 = 1000, + lid_area_fractions = lid_area_fractions, + catchment_area_m2 = catchment_area_m2, swmm_exe = paths$swmm_exe ) - performances <- br %>% dplyr::bind_rows(gr) %>% dplyr::bind_rows(pp) %>% dplyr::bind_rows(rb) + ``` ## Evaluate Performance From fea85ba44470f72a230c8e25302dadb46065638b Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 15 Jul 2021 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zV(R_0V&)H03n`N5-x)DN0E-FD(DkBC}-Yy{VBwuSRN-B-nxK% z6MrCT(!;w1UIl4^Q+pCv-QfIaUurpT8lqH5g_ZI>ZFxmE(^D}3@xuMt7?wc=zO*gG z<6}@f8Eh5^jc_4Rs5?TodaRK`ZnBNTKD+G(a`vlD7y`E*8>|>VV{$n~;+TJcmU&0> zt8fm0aT*xB(vNZWw!L!aH9duc_ zcV&MpmT26K5`P-)R(=m#4d?B=+*}>o3e7l}L~tko0000jZupb{0fO8>vFp`g0000< Se+#>t<555Z000000a;oREGQxX From d0e392d153e688f35ca20ccdfa9857ad0c5261da Mon Sep 17 00:00:00 2001 From: mrustl Date: Tue, 21 Sep 2021 15:01:01 +0200 Subject: [PATCH 15/33] Fix plot "boxplot_runoff_volume" --- R/plot.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/plot.R b/R/plot.R index c5c0165..db93d3b 100644 --- a/R/plot.R +++ b/R/plot.R @@ -203,7 +203,7 @@ boxplot_runoff_volume <- function(lid = "bioretention_cell", .data$lid_name_tidy, .data$scenario_name, .data$lid_area_fraction) %>% - dplyr::mutate(runoff_LitrePerSqm = .data$runoff_cbm * 1000 / catchment_area_m2) %>% + dplyr::mutate(runoff_LitrePerSqm = .data$runoff_cbm * 1000) %>% plotly::plot_ly(x = ~lid_area_fraction, y = 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zLN(@FG+E<0n#dDTPATrR2P0{6ZjZpB{8M>phyfODYDvj#wuVfy6PzQgSQOH*wFOkZ zNJJ$oHru;&bEC@1E zwkJGLha&d&AH@j4q6(_crLX64JN0D2O*r&?M)}taK|(081zZcp*9L z!6sp&9Q}$_nz@{o;fIstZMiqcVSbtKsUIA@A_h0jQeHQ@lcCZI~q<))F8Vg z?pNJj6eCHh<4hkXpiZJqV;{O8Xm0X^VqLeSdE<3W}2wfK0K?ZUQVYOm! z$wJiUH)kX1+|8pf$u@9^n26caX5iV2P+@)ltA(@vw}hXME%DEiy$E&Wm8gM=NVG0k zdM=Dads5j(;^S?JT|3X@ zr0|v!EW;h$#D)Xh)!X%9{$ACUi@zX3Hvqk`X<1#n^VJWUJ1 zf>K%`{p? zgeZ|4O_@&S8N1F1CzU;cxnR!fFwFDbd~XkLRcCQ;yY0~?xT>_R0+HD`SG9uJhcMH# zM>uRZS?43t8r{ltG`;qrus_O8a9J2^{YU~>zzOy>Xft+<8A!Uv5DvZ7PY}JV9C;$X z;d7LO!iH#?t-@bFjYX=-c5~;?kzLT~U8!cR@zcU7cbI5=zF;g}?~)a%Xf? z=i0b_3HJ%Ah%vWOxaP@R*b6hnkQ2<0T_t>Cx`aG$A4ph zUN8tig#daeOni`w8X@QezyXC#@UJGn8V4jU$XShx@P8f`|Mvt0pk6fw!v6_;|Mz$g z2wq(haucMeE&^!?ic{xOW%t1-2^OPyhe` From 9f27329170e2b79536521879c040eab017c3ca5b Mon Sep 17 00:00:00 2001 From: mrustl Date: Tue, 5 Oct 2021 11:56:25 +0200 Subject: [PATCH 17/33] Add get_event_percentile() for aggregating stats for max/sum events reduction by LIDs --- NAMESPACE | 1 + R/get_event_percentiles.R | 70 ++++++++++++++++++++++++++++++++++++ data-raw/performances.R | 24 +++++++++++++ man/get_event_percentiles.Rd | 17 +++++++++ 4 files changed, 112 insertions(+) create mode 100644 R/get_event_percentiles.R create mode 100644 man/get_event_percentiles.Rd diff --git a/NAMESPACE b/NAMESPACE index 0d6c081..c482f37 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -7,6 +7,7 @@ export(boxplot_vrr) export(computeVol) export(export_performances) export(extdata_file) +export(get_event_percentiles) export(lidconfig_to_swmm) export(makeRainfallRunoffEvents) export(monthlyPattern) diff --git a/R/get_event_percentiles.R b/R/get_event_percentiles.R new file mode 100644 index 0000000..c950d30 --- /dev/null +++ b/R/get_event_percentiles.R @@ -0,0 +1,70 @@ +#' Get Percentiles for Events +#' +#' @param performances nested tibble (default: \code{\link{performances}}) +#' @return list with percentiles for "event_sum" and "event_max" +#' @export +#' @importFrom tidyselect all_of +#' @importFrom tidyr unnest +#' @importFrom dplyr select group_by mutate summarise +get_event_percentiles <- function(performances = keys.lid::performances) { + +volume <- performances %>% + tidyr::unnest(.data$events_sum) + +sel_cols <- c("zone_id", + "lid_name_tidy", + "scenario_name", + "lid_area_fraction", + "runoff_cbm") + +volume_stats <- volume %>% + dplyr::select(tidyselect::all_of(sel_cols)) %>% + dplyr::group_by(.data$zone_id, + .data$lid_name_tidy, + .data$scenario_name, + .data$lid_area_fraction) %>% + dplyr::mutate(runoff_LitrePerSqm = 1000 * .data$runoff_cbm) %>% + dplyr::summarise(runoff_LitrePerSqm_q00 = quantile(.data$runoff_LitrePerSqm, probs = 0), + runoff_LitrePerSqm_q01 = quantile(.data$runoff_LitrePerSqm, probs = 0.01), + runoff_LitrePerSqm_q05 = quantile(.data$runoff_LitrePerSqm, probs = 0.05), + runoff_LitrePerSqm_q10 = quantile(.data$runoff_LitrePerSqm, probs = 0.10), + runoff_LitrePerSqm_q25 = quantile(.data$runoff_LitrePerSqm, probs = 0.25), + runoff_LitrePerSqm_q50 = quantile(.data$runoff_LitrePerSqm, probs = 0.5), + runoff_LitrePerSqm_q75 = quantile(.data$runoff_LitrePerSqm, probs = 0.75), + runoff_LitrePerSqm_q90 = quantile(.data$runoff_LitrePerSqm, probs = 0.9), + runoff_LitrePerSqm_q95 = quantile(.data$runoff_LitrePerSqm, probs = 0.95), + runoff_LitrePerSqm_q99 = quantile(.data$runoff_LitrePerSqm, probs = 0.99), + runoff_LitrePerSqm_q100 = quantile(.data$runoff_LitrePerSqm, probs = 1)) + + +peak <- performances %>% + tidyr::unnest(.data$events_max) + +sel_cols <- c("zone_id", + "lid_name_tidy", + "scenario_name", + "lid_area_fraction", + "max_total_runoff_mmPerHour") + +peak_stats <- peak %>% + dplyr::select(tidyselect::all_of(sel_cols)) %>% + dplyr::group_by(.data$zone_id, + .data$lid_name_tidy, + .data$scenario_name, + .data$lid_area_fraction) %>% + dplyr::summarise(runoff_max_mmPerHour_q00 = quantile(.data$max_total_runoff_mmPerHour, probs = 0), + runoff_max_mmPerHour_q01 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.01), + runoff_max_mmPerHour_q05 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.05), + runoff_max_mmPerHour_q10 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.10), + runoff_max_mmPerHour_q25 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.25), + runoff_max_mmPerHour_q50 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.5), + runoff_max_mmPerHour_q75 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.75), + runoff_max_mmPerHour_q90 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.9), + runoff_max_mmPerHour_q95 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.95), + runoff_max_mmPerHour_q99 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.99), + runoff_max_mmPerHour_q100 = quantile(.data$max_total_runoff_mmPerHour, probs = 1)) + +list(event_max_percentiles = peak_stats, + event_sum_percentiles = volume_stats + ) +} diff --git a/data-raw/performances.R b/data-raw/performances.R index 6853145..3e422c3 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -41,6 +41,30 @@ performances <- br %>% dplyr::bind_rows(gr) %>% dplyr::bind_rows(pp) +scenarios <- keys.lid::performances + +performances <- scenarios[scenarios$lid_name_tidy == "bioretention_cell",] %>% + dplyr::bind_rows(gr) %>% + scenarios[scenarios$lid_name_tidy == "permeable_pavement",] + +performances_event_percentiles <- get_event_percentiles(performances) +export_dir <- "." +keys.lid::export_performances(export_dir = export_dir) +path_wb <- file.path(export_dir, "swmm_lid-performances.xlsx") +wb <- openxlsx::loadWorkbook(file = path_wb) +openxlsx::addWorksheet(wb = wb, + sheetName = "event_max_percentiles") +openxlsx::writeData(wb, + sheet = "event_max_percentiles", + x = performances_event_percentiles$event_max_percentiles) +openxlsx::addWorksheet(wb = wb, + sheetName = "event_sum_percentiles") +openxlsx::writeData(wb, + sheet = "event_sum_percentiles", + x = performances_event_percentiles$event_sum_percentiles) +openxlsx::saveWorkbook(wb = wb, + file = path_wb, + overwrite = TRUE) #saveRDS(object = performances, file = "performances.rds") #readRDS(file = "performances.rds") diff --git a/man/get_event_percentiles.Rd b/man/get_event_percentiles.Rd new file mode 100644 index 0000000..2babc5e --- /dev/null +++ b/man/get_event_percentiles.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/get_event_percentiles.R +\name{get_event_percentiles} +\alias{get_event_percentiles} +\title{Get Percentiles for Events} +\usage{ +get_event_percentiles(performances = keys.lid::performances) +} +\arguments{ +\item{performances}{nested tibble (default: \code{\link{performances}})} +} +\value{ +list with percentiles for "event_sum" and "event_max" +} +\description{ +Get Percentiles for Events +} From 21caad0e25d9fd6ab614ba842e2aeb24869c30e0 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 7 Oct 2021 15:49:33 +0200 Subject: [PATCH 18/33] Add additional event stats --- R/get_event_percentiles.R | 30 +++++++++++++++++++++++------- data-raw/performances.R | 13 +++++++------ 2 files changed, 30 insertions(+), 13 deletions(-) diff --git a/R/get_event_percentiles.R b/R/get_event_percentiles.R index c950d30..dbdc336 100644 --- a/R/get_event_percentiles.R +++ b/R/get_event_percentiles.R @@ -12,10 +12,12 @@ volume <- performances %>% tidyr::unnest(.data$events_sum) sel_cols <- c("zone_id", - "lid_name_tidy", - "scenario_name", - "lid_area_fraction", - "runoff_cbm") + "lid_name_tidy", + "scenario_name", + "lid_area_fraction", + "runoff_cbm", + "tBeg", + "tEnd") volume_stats <- volume %>% dplyr::select(tidyselect::all_of(sel_cols)) %>% @@ -24,7 +26,13 @@ volume_stats <- volume %>% .data$scenario_name, .data$lid_area_fraction) %>% dplyr::mutate(runoff_LitrePerSqm = 1000 * .data$runoff_cbm) %>% - dplyr::summarise(runoff_LitrePerSqm_q00 = quantile(.data$runoff_LitrePerSqm, probs = 0), + dplyr::summarise(datetime_min = min(.data$tBeg), + datetime_max = max(.data$tEnd), + timeperiod_days = as.numeric(diff(c(datetime_min, datetime_max))), + timeperiod_years = timeperiod_days/365, + number_of_events = dplyr::n(), + events_per_year = number_of_events / timeperiod_years, + runoff_LitrePerSqm_q00 = quantile(.data$runoff_LitrePerSqm, probs = 0), runoff_LitrePerSqm_q01 = quantile(.data$runoff_LitrePerSqm, probs = 0.01), runoff_LitrePerSqm_q05 = quantile(.data$runoff_LitrePerSqm, probs = 0.05), runoff_LitrePerSqm_q10 = quantile(.data$runoff_LitrePerSqm, probs = 0.10), @@ -44,7 +52,9 @@ sel_cols <- c("zone_id", "lid_name_tidy", "scenario_name", "lid_area_fraction", - "max_total_runoff_mmPerHour") + "max_total_runoff_mmPerHour", + "tBeg", + "tEnd") peak_stats <- peak %>% dplyr::select(tidyselect::all_of(sel_cols)) %>% @@ -52,7 +62,13 @@ peak_stats <- peak %>% .data$lid_name_tidy, .data$scenario_name, .data$lid_area_fraction) %>% - dplyr::summarise(runoff_max_mmPerHour_q00 = quantile(.data$max_total_runoff_mmPerHour, probs = 0), + dplyr::summarise(datetime_min = min(.data$tBeg), + datetime_max = max(.data$tEnd), + timeperiod_days = as.numeric(diff(c(datetime_min, datetime_max))), + timeperiod_years = timeperiod_days/365, + number_of_events = dplyr::n(), + events_per_year = number_of_events / timeperiod_years, + runoff_max_mmPerHour_q00 = quantile(.data$max_total_runoff_mmPerHour, probs = 0), runoff_max_mmPerHour_q01 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.01), runoff_max_mmPerHour_q05 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.05), runoff_max_mmPerHour_q10 = quantile(.data$max_total_runoff_mmPerHour, probs = 0.10), diff --git a/data-raw/performances.R b/data-raw/performances.R index 3e422c3..2888676 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -41,13 +41,14 @@ performances <- br %>% dplyr::bind_rows(gr) %>% dplyr::bind_rows(pp) -scenarios <- keys.lid::performances +# scenarios <- keys.lid::performances +# +# performances <- scenarios[scenarios$lid_name_tidy == "bioretention_cell",] %>% +# dplyr::bind_rows(gr) %>% +# scenarios[scenarios$lid_name_tidy == "permeable_pavement",] +# performances <- keys.lid::performances -performances <- scenarios[scenarios$lid_name_tidy == "bioretention_cell",] %>% - dplyr::bind_rows(gr) %>% - scenarios[scenarios$lid_name_tidy == "permeable_pavement",] - -performances_event_percentiles <- get_event_percentiles(performances) +performances_event_percentiles <- keys.lid::get_event_percentiles(performances) export_dir <- "." keys.lid::export_performances(export_dir = export_dir) path_wb <- file.path(export_dir, "swmm_lid-performances.xlsx") From 2b76deef580a85afdc53503a85be25256ac652ad Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 7 Oct 2021 15:50:59 +0200 Subject: [PATCH 19/33] Add VRR boxplots for all LIDs --- vignettes/scenarios.Rmd | 88 ++++++++++++++++++++++++++++++++++++++++- 1 file changed, 86 insertions(+), 2 deletions(-) diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 02371c0..13bb086 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -119,10 +119,52 @@ keys.lid::plot_vrr_median("permeable_pavement") ### Boxplots -Example for LID **green roof** in **climate zones 1 and 5** - #### Volume Rainfall Retended +##### Bioretention Cell + +**Zone 1** + +```{r evaluate_performance_boxplot_vrr_bc_zone1, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 1) + +``` + +**Zone 2** + +```{r evaluate_performance_boxplot_vrr_bc_zone2, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 2) + +``` + +**Zone 3** + +```{r evaluate_performance_boxplot_vrr_bc_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 3) + +``` + +**Zone 4** + +```{r evaluate_performance_boxplot_vrr_bc_zone4, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 4) + +``` + +**Zone 5** + +```{r evaluate_performance_boxplot_vrr_bc_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 5) + +``` + +##### Green Roof + **Zone 1** ```{r evaluate_performance_boxplot_vrr_gr_zone1, fig.height=bp_fig_height, fig.width=bp_fig_width} @@ -163,6 +205,48 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 5) ``` +##### Permeable Pavement + +**Zone 1** + +```{r evaluate_performance_boxplot_vrr_pp_zone1, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 1) + +``` + +**Zone 2** + +```{r evaluate_performance_boxplot_vrr_pp_zone2, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 2) + +``` + +**Zone 3** + +```{r evaluate_performance_boxplot_vrr_pp_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 3) + +``` + +**Zone 4** + +```{r evaluate_performance_boxplot_vrr_pp_zone4, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 4) + +``` + +**Zone 5** + +```{r evaluate_performance_boxplot_vrr_pp_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} + +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 5) + +``` + #### Runoff Maximum per Event **Zone 1** From 47de939d9f533bf465c1be34b6b081bfb93400ec Mon Sep 17 00:00:00 2001 From: mrustl Date: Mon, 6 Dec 2021 11:42:16 +0100 Subject: [PATCH 20/33] bioretention-cells: fix parameterisation :bug: "conductivity_mm.per.hour" was not in line with scenario name before due to wrong parametert definition in EXCEL file --- DESCRIPTION | 2 +- data/performances.rda | Bin 1380476 -> 1372336 bytes .../scenarios/swmm_lid-parameterisation.xlsx | Bin 22130 -> 22614 bytes 3 files changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION 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Check different compression formats (as recommended by Rcmdcheck): ### https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Data-in-packages +## Quick fix for renaming "German" scenario names to "English" +performances <- keys.lid::performances %>% + dplyr::mutate(scenario_name = kwb.utils::multiSubstitute(strings = .data$scenario_name, + replacements = list("mulde_rigole" = "through-trench", + "mulde" = "through"))) + #usethis::use_data(performances, compress = "gzip", overwrite = TRUE) #44.6MB #usethis::use_data(performances, compress = "bzip2", overwrite = TRUE) #18.9MB usethis::use_data(performances, compress = "xz", overwrite = TRUE) #0.6MB diff --git a/data/performances.rda b/data/performances.rda index 0277603f90f03dc4b0fa03e111afe8c29c38f93b..af7c9e8bce32c9d67224643f38c852fc5d83efa5 100644 GIT binary patch literal 1384344 zcmV(jK=!}=H+ooF0004LBHlIv03iV!0000G&sfa#{vQ&2UJ%gRpOV=m z9;O&)4muag48@sL4@xN$XBh=E89NqsamX0Dy0Iwv@9$JzQGmJ$ 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dplyr::filter(lid_area_fraction == 1) +keys.lid::boxplot_vrr("bioretention_cell", zone_id = 3, performances = performances) -keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 3) ``` @@ -159,8 +160,7 @@ keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 4) ```{r evaluate_performance_boxplot_vrr_bc_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 5) - +keys.lid::boxplot_vrr("bioretention_cell", zone_id = 5, performances = performances) ``` ##### Green Roof @@ -185,7 +185,7 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 2) ```{r evaluate_performance_boxplot_vrr_gr_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 3) +keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 3, performances = performances) ``` @@ -201,7 +201,8 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 4) ```{r evaluate_performance_boxplot_vrr_gr_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 5) +keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 4, performances = performances) + ``` @@ -227,7 +228,7 @@ keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 2) ```{r evaluate_performance_boxplot_vrr_pp_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 3) +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 3, performances = performances) ``` @@ -243,7 +244,8 @@ keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 4) ```{r evaluate_performance_boxplot_vrr_pp_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 5) +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 5, performances = performances) + ``` From 047e223e3f233dd90ea8cf352f91bfbf6c639bf1 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 9 Dec 2021 15:08:33 +0100 Subject: [PATCH 22/33] Rename "German" scenario names to "English" for bioretention cells --- data-raw/performances.R | 6 ++++++ data/performances.rda | Bin 1372336 -> 1384344 bytes .../scenarios/swmm_lid-parameterisation.xlsx | Bin 22614 -> 22604 bytes vignettes/scenarios.Rmd | 16 +++++++++------- 4 files changed, 15 insertions(+), 7 deletions(-) diff --git a/data-raw/performances.R b/data-raw/performances.R index 2888676..b29fc61 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -72,6 +72,12 @@ openxlsx::saveWorkbook(wb = wb, ### Check different compression formats (as recommended by Rcmdcheck): ### https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Data-in-packages +## Quick fix for renaming "German" scenario names to "English" +performances <- keys.lid::performances %>% + dplyr::mutate(scenario_name = kwb.utils::multiSubstitute(strings = .data$scenario_name, + replacements = list("mulde_rigole" = "through-trench", + "mulde" = "through"))) + 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z@Mnt`EEcb$UEX@*A2{g&FO>|Qwas4rVW{HYrh1=&hyHm<3)V5L|7Aw=acbD2dyq@~weiV6#e0F5DWZ1?FZry^eKIhae zhFa{(m3;IsLf+g5pV@sS`{^4o&-!~GcMw)?+3e2j77596{T@fLdo?b+ejPl7kg6qYQyoH&WQ>KxpResFMvf4t zp^b|6stvE%Vd6O+LlHW-Y>2Km=dRs}%a-K^NzWghDPi)RUuUSljH~?;E*QJ$r{em7 z+8C~>^gj=Hi>D}Cc#FiL@*ABJZcim3BpMCzmt~<1%({t|B6c%CMQb?Yljg3 zryke@gc6kywgZtxOVNZ87_-7Oj0Dh(wf|%Dj08{_U=v0%s3I_YV@a$B{r^t-FH@YA AmjD0& diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 13bb086..25757cf 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -142,8 +142,9 @@ keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 2) **Zone 3** ```{r evaluate_performance_boxplot_vrr_bc_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} +performances <- keys.lid::performances %>% dplyr::filter(lid_area_fraction == 1) +keys.lid::boxplot_vrr("bioretention_cell", zone_id = 3, performances = performances) -keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 3) ``` @@ -159,8 +160,7 @@ keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 4) ```{r evaluate_performance_boxplot_vrr_bc_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "bioretention_cell", zone_id = 5) - +keys.lid::boxplot_vrr("bioretention_cell", zone_id = 5, performances = performances) ``` ##### Green Roof @@ -185,7 +185,7 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 2) ```{r evaluate_performance_boxplot_vrr_gr_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 3) +keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 3, performances = performances) ``` @@ -201,7 +201,8 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 4) ```{r evaluate_performance_boxplot_vrr_gr_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 5) +keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 4, performances = performances) + ``` @@ -227,7 +228,7 @@ keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 2) ```{r evaluate_performance_boxplot_vrr_pp_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 3) +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 3, performances = performances) ``` @@ -243,7 +244,8 @@ keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 4) ```{r evaluate_performance_boxplot_vrr_pp_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} -keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 5) +keys.lid::boxplot_vrr(lid = "permeable_pavement", zone_id = 5, performances = performances) + ``` From a9a9273df289b4033a5c78ad6d4940e2462c7bbc Mon Sep 17 00:00:00 2001 From: mrustl Date: Tue, 1 Mar 2022 12:31:37 +0100 Subject: [PATCH 23/33] add VRR reference plot for final BMBF report --- vignettes/plots.Rmd | 79 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 vignettes/plots.Rmd diff --git a/vignettes/plots.Rmd b/vignettes/plots.Rmd new file mode 100644 index 0000000..622adcf --- /dev/null +++ b/vignettes/plots.Rmd @@ -0,0 +1,79 @@ +--- +title: "Plots" +author: "Michael Rustler" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Plots} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + + + +## VRR without LIDs + +```{r pressure, echo=TRUE, fig.height = 5, fig.width=7} +library(keys.lid) +performances <- keys.lid::performances %>% + dplyr::mutate(scenario_name = kwb.utils::multiSubstitute(strings = .data$scenario_name, + replacements = list("through-trench" = "mulde_rigole", + "through" = "mulde", + "with-berm" = "mit-berme", + "no-berm" = "ohne-berme", + "no-drainmat" = "keine-drainagematte", + "with-drainmat" = "mit-drainagematte", + "no-drainage" = "keine-drainage", + "with-drainage" = "mit-drainage", + "per.hour" = "pro.Stunde", + "extensive" = "extensiv", + "intensive" = "intensiv"))) %>% + dplyr::group_by(.data$lid_name_tidy, + .data$scenario_name) %>% + dplyr::mutate(scenario_id = dplyr::cur_group_id()) + +performances_without_lids <- performances %>% + dplyr::filter(.data$lid_name_tidy == "bioretention_cell", + .data$lid_area_fraction == 0, + .data$scenario_id == 1) %>% + dplyr::mutate(lid_name_tidy = "Referenz", + scenario_name = "Regenr\u00FCckhalt ohne LID") + + +mycolors <- c(rev(RColorBrewer::brewer.pal(name="Reds", n = 6)), + RColorBrewer::brewer.pal(name="Blues", n = 6)) + +performances_without_lids %>% + tidyr::unnest(.data$annual) %>% + ggplot2::ggplot(mapping = ggplot2::aes(x = .data$zone_id, + y = 100*.data$vrr)) + + ggplot2::scale_y_continuous(labels = scales::percent_format(scale = 1)) + + ggplot2::geom_boxplot() + + ggplot2::geom_jitter(mapping = ggplot2::aes(col = factor(.data$year)), + size=2, alpha=0.8) + + ggplot2::scale_color_manual(values = mycolors) + + ggplot2::stat_summary(ggplot2::aes(label=sprintf("%d %%", round(..y..,0))), + fun.y = median, + geom="text", + size = 3, + fontface = "bold", + vjust = -0.5, + ) + + ggplot2::labs(x = "Klimazone", + y = "J\u00E4hrlicher Regenr\u00FCckhalt ohne LIDs", + col = "Jahr") + + ggplot2::theme_bw() + + ggplot2::theme(legend.position="top") + +ggplot2::ggsave("vrr_reference.jpg", + scale = 1, + width = 7, + height = 5) + +``` From f825e9695737b975b81e86c4af86f69b0acdc750 Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 2 Mar 2022 10:58:08 +0100 Subject: [PATCH 24/33] Add boxplots with performance for each LID --- vignettes/plots.Rmd | 148 +++++++++++++++++++++++++++++++++++++++----- 1 file changed, 134 insertions(+), 14 deletions(-) diff --git a/vignettes/plots.Rmd b/vignettes/plots.Rmd index 622adcf..f87d062 100644 --- a/vignettes/plots.Rmd +++ b/vignettes/plots.Rmd @@ -19,21 +19,23 @@ knitr::opts_chunk$set( ## VRR without LIDs -```{r pressure, echo=TRUE, fig.height = 5, fig.width=7} +```{r reference, echo=TRUE, fig.height = 5, fig.width=7} library(keys.lid) performances <- keys.lid::performances %>% - dplyr::mutate(scenario_name = kwb.utils::multiSubstitute(strings = .data$scenario_name, - replacements = list("through-trench" = "mulde_rigole", - "through" = "mulde", - "with-berm" = "mit-berme", - "no-berm" = "ohne-berme", - "no-drainmat" = "keine-drainagematte", - "with-drainmat" = "mit-drainagematte", - "no-drainage" = "keine-drainage", - "with-drainage" = "mit-drainage", - "per.hour" = "pro.Stunde", - "extensive" = "extensiv", - "intensive" = "intensiv"))) %>% + dplyr::mutate( +scenario_name = kwb.utils::multiSubstitute(strings = .data$scenario_name, + replacements = list("through-trench" = "mulde_rigole", + "through" = "mulde", + "with-berm" = "mit-berme", + "no-berm" = "ohne-berme", + "no-drainmat" = "keine-drainagematte", + "with-drainmat" = "mit-drainagematte", + "no-drainage" = "keine-drainage", + "with-drainage" = "mit-drainage", + "per.hour" = "pro.Stunde", + "extensive" = "extensiv", + "intensive" = "intensiv")) +) %>% dplyr::group_by(.data$lid_name_tidy, .data$scenario_name) %>% dplyr::mutate(scenario_id = dplyr::cur_group_id()) @@ -65,7 +67,8 @@ performances_without_lids %>% fontface = "bold", vjust = -0.5, ) + - ggplot2::labs(x = "Klimazone", + ggplot2::labs(title = "Modelleinzugsgebiet (100% Versiegelungsgrad)", + x = "Klimazone", y = "J\u00E4hrlicher Regenr\u00FCckhalt ohne LIDs", col = "Jahr") + ggplot2::theme_bw() + @@ -77,3 +80,120 @@ ggplot2::ggsave("vrr_reference.jpg", height = 5) ``` + +## VRR with LIDs + +```{r lid_performance, echo=TRUE, fig.height = 5, fig.width=7} + +performances_without_lids <- performances %>% + dplyr::ungroup() %>% + dplyr::filter(.data$lid_area_fraction == 0) %>% + tidyr::unnest(.data$annual) %>% + dplyr::rename(vrr_reference = .data$vrr) %>% + dplyr::select(.data$zone_id, + .data$lid_name_tidy, + .data$scenario_id, + .data$year, + .data$vrr_reference + ) + +percent_lid_area <- 100 + +performances_lid <- performances %>% + dplyr::filter(.data$lid_name_tidy == "bioretention_cell" & .data$lid_area_fraction == percent_lid_area/100 | + .data$lid_name_tidy == "permeable_pavement" & .data$lid_area_fraction == percent_lid_area/100 | + .data$lid_name_tidy == "green_roof" & .data$lid_area_fraction == percent_lid_area/100) %>% + tidyr::unnest(.data$annual) %>% + dplyr::left_join(performances_without_lids) %>% + dplyr::mutate(lid_name_tidy = kwb.utils::multiSubstitute(strings = .data$lid_name_tidy, + replacements = list( + "bioretention_cell" = "Versickerungsmulden", + "green_roof" = "Gr\u00FCnd\u00E4cher", + "permeable_pavement" = "Durchl\u00E4ssige Bodenbel\u00E4ge") + )) + + +plot_lid_performance <- function(lid_name, scenario_ids = NULL) { + + if(is.null(scenario_ids)) { + scenario_ids <- performances_lid %>% + dplyr::filter(.data$lid_name_tidy == lid_name) %>% + dplyr::pull(.data$scenario_id) %>% + unique() + } + + lid_area_faction <- performances_lid %>% + dplyr::filter(.data$lid_name_tidy == lid_name) %>% + dplyr::pull(lid_area_fraction) %>% + unique()*100 + + +performances_lid %>% + dplyr::filter(.data$lid_name_tidy == lid_name, + .data$scenario_id %in% scenario_ids) %>% + dplyr::mutate(label = sprintf("%s: %s", + .data$lid_name_tidy, + .data$scenario_name)) %>% + ggplot2::ggplot(mapping = ggplot2::aes(x = .data$zone_id, + y = 100*.data$vrr)) + + ggplot2::facet_wrap(~ .data$scenario_name, ncol = 1) + + ggplot2::scale_y_continuous(labels = scales::percent_format(scale = 1)) + + ggplot2::geom_boxplot() + + ggplot2::geom_jitter(mapping = ggplot2::aes(col = factor(.data$year)), + size=2, alpha=0.8) + + ggplot2::scale_color_manual(values = mycolors) + + ggplot2::stat_summary(ggplot2::aes(label=sprintf("%d %%", round(..y..,0))), + fun.y = median, + geom="text", + size = 3, + fontface = "bold", + vjust = -0.5, + ) + + ggplot2::labs(title = sprintf("%s (%d %% der Einzugsgebietsfl\u00E4che)", + lid_name, + lid_area_faction), + x = "Klimazone", + y = "J\u00E4hrlicher Regenr\u00FCckhalt mit LIDs", + col = "Jahr") + + ggplot2::theme_bw() + + ggplot2::theme(legend.position="top") +} + +lid_names <- unique(performances_lid$lid_name_tidy) + +bioretention_cells <- plot_lid_performance(lid_names[1], + scenario_ids = c(1:3, 7)) + +ggplot2::ggsave(filename = sprintf("vrr_lid_versickerungsmulden_%d-prozent.jpg", + percent_lid_area), + plot = bioretention_cells, + scale = 1, + width = 7, + height = 2.2*5, + limitsize = FALSE) + +green_roofs <- plot_lid_performance(lid_names[2], + scenario_ids = 15:18) +ggplot2::ggsave(filename = sprintf("vrr_lid_gruendaecher_%d-prozent.jpg", + percent_lid_area), + plot = green_roofs, + scale = 1, + width = 7, + height = 2.2*5, + limitsize = FALSE) + +permeable_pavements <- plot_lid_performance(lid_names[3], + scenario_ids = 19:20) + +ggplot2::ggsave(filename = sprintf("vrr_lid_durchlaessige-bodenbelaege_%d-prozent.jpg", + percent_lid_area), + plot = permeable_pavements, + scale = 1, + width = 7, + height = 1.1*5, + limitsize = FALSE) + + + +``` + From 3e0dd77591f5fd90d64394a28c912a98bc8a2048 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 3 Mar 2022 12:17:00 +0100 Subject: [PATCH 25/33] add LID performance per percent LID area --- vignettes/plots.Rmd | 126 +++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 125 insertions(+), 1 deletion(-) diff --git a/vignettes/plots.Rmd b/vignettes/plots.Rmd index f87d062..c4060e9 100644 --- a/vignettes/plots.Rmd +++ b/vignettes/plots.Rmd @@ -51,7 +51,7 @@ performances_without_lids <- performances %>% mycolors <- c(rev(RColorBrewer::brewer.pal(name="Reds", n = 6)), RColorBrewer::brewer.pal(name="Blues", n = 6)) -performances_without_lids %>% +vrr_reference <- performances_without_lids %>% tidyr::unnest(.data$annual) %>% ggplot2::ggplot(mapping = ggplot2::aes(x = .data$zone_id, y = 100*.data$vrr)) + @@ -75,10 +75,14 @@ performances_without_lids %>% ggplot2::theme(legend.position="top") ggplot2::ggsave("vrr_reference.jpg", + plot = vrr_reference, scale = 1, width = 7, height = 5) + + + ``` ## VRR with LIDs @@ -197,3 +201,123 @@ ggplot2::ggsave(filename = sprintf("vrr_lid_durchlaessige-bodenbelaege_%d-prozen ``` + +## VRR increase by LIDs + +```{r lid_performance_compared_to_base, echo=TRUE, fig.height = 5, fig.width=7} + + +create_lid_table <- function(percent_lid_area = 50, + group_cols = c("zone_id", "lid_name_tidy", "scenario_id", "scenario_name", "percent_lid_area")) { + +performances_lid <- performances %>% + dplyr::filter(.data$lid_name_tidy == "bioretention_cell" & .data$lid_area_fraction == percent_lid_area/100 | + .data$lid_name_tidy == "permeable_pavement" & .data$lid_area_fraction == percent_lid_area/100 | + .data$lid_name_tidy == "green_roof" & .data$lid_area_fraction == percent_lid_area/100) %>% + tidyr::unnest(.data$annual) %>% + dplyr::left_join(performances_without_lids) %>% + dplyr::ungroup() %>% + dplyr::mutate(percent_lid_area = percent_lid_area, + vrr_perpercent_catchment = vrr/(percent_lid_area/100), + vrr_diff = vrr - vrr_reference, + vrr_diff_perpercent_catchment = vrr_diff/(percent_lid_area/100), + lid_name_tidy = kwb.utils::multiSubstitute(strings = .data$lid_name_tidy, + replacements = list( + "bioretention_cell" = "Versickerungsmulden", + "green_roof" = "Gr\u00FCnd\u00E4cher", + "permeable_pavement" = "Durchl\u00E4ssige Bodenbel\u00E4ge") + )) %>% + dplyr::group_by(dplyr::across(tidyselect::all_of(group_cols))) %>% + dplyr::summarize(vrr_perpercent_catchment_median = median(.data$vrr_perpercent_catchment), + vrr_perpercent_catchment_sd = sd(.data$vrr_perpercent_catchment), + vrr_median = median(.data$vrr), + vrr_sd = sd(.data$vrr), + vrr_reference_median = median(.data$vrr_reference), + vrr_reference_sd = sd(.data$vrr_reference), + vrr_diff_median = median(.data$vrr_diff), + vrr_diff_sd = sd(.data$vrr_diff), + vrr_diff_perpercent_catchment_median = median(.data$vrr_diff_perpercent_catchment), + vrr_diff_perpercent_catchment_sd = sd(.data$vrr_diff_perpercent_catchment) + ) %>% + dplyr::arrange(dplyr::desc(.data$vrr_perpercent_catchment_median)) +} + +lid_50percent_table <- create_lid_table(percent_lid_area = 50, + group_cols = c("lid_name_tidy", "scenario_id", "scenario_name", "percent_lid_area")) +lid_50percent_table_by_zone <- create_lid_table(percent_lid_area = 50, + group_cols = c("zone_id", "lid_name_tidy", "scenario_id", "scenario_name", "percent_lid_area")) + + + +lid_100percent_table <- create_lid_table(percent_lid_area = 100, + group_cols = c("lid_name_tidy", "scenario_id", "scenario_name", "percent_lid_area")) +lid_100percent_table_by_zone <- create_lid_table(percent_lid_area = 100, + group_cols = c("zone_id", "lid_name_tidy", "scenario_id", "scenario_name", "percent_lid_area")) + +lid_names <- unique(lid_50percent_table_by_zone$lid_name_tidy) + + +plot_vrr_per_percent_lidarea <- function(climate_zone_id = 1) { + +lid_50percent_table_by_zone %>% + dplyr::filter(.data$zone_id == climate_zone_id) %>% + #dplyr::mutate(label = sprintf("Klimazone %s", .data$zone_id)) %>% + ggplot2::ggplot(mapping = ggplot2::aes(x = forcats::fct_reorder(.data$scenario_name, + .data$vrr_diff_perpercent_catchment_median, + .desc = FALSE), + y = .data$vrr_diff_perpercent_catchment_median, + #col = .data$scenario_name, + fill = .data$lid_name_tidy)) + + ggplot2::scale_y_continuous(labels = scales::percent_format(scale = 1), + breaks = seq(0,1,0.1), + limits = c(0, 1)) + + ggplot2::coord_flip() + + #ggplot2::facet_wrap(~ label, ncol = 1) + + ggplot2::geom_bar(stat="identity", + #color="black", + alpha = 0.5, + position = ggplot2::position_dodge()) + + ggplot2::geom_errorbar(ggplot2::aes(ymin = .data$vrr_diff_perpercent_catchment_median - .data$vrr_diff_perpercent_catchment_sd, + ymax = .data$vrr_diff_perpercent_catchment_median + .data$vrr_diff_perpercent_catchment_sd), + width=.2, + position = ggplot2::position_dodge(.9) + ) + + ggplot2::labs(title = sprintf("Klimazone %s", climate_zone_id), + y = "J\u00E4hrlicher Regenr\u00FCckhaltanstieg je Prozent LID-Fl\u00E4chenanteil im Einzugsgebiet", + x = "Designszenario", + fill = "LID") + + ggplot2::theme_bw() + + ggplot2::theme(legend.position="top") +} + +lid_plots <- lapply(1:5, function(climate_zone_id) { plot_vrr_per_percent_lidarea(climate_zone_id)}) + +lid_plots <- lapply(1:5, function(climate_zone_id) { + ggplot2::ggsave(filename = sprintf("lid_plot_zone%d.jpg", climate_zone_id), + plot = plot_vrr_per_percent_lidarea(climate_zone_id), + width = 9, + height = 4.5) + }) + + +# pdff <- "lid_plots.pdf" +# mp <- gridExtra::marrangeGrob(lid_plots, nrow=3, ncol=2) +# ggplot2::ggsave(pdff, +# plot = mp, +# width = 14, +# height = 20, +# units = "cm") +# +# ggpubr::ggarrange(lid_plots[[1]] + ggplot2::ggtitle("") + ggpubr::rremove("xy.text"), +# lid_plots[[2]] + ggplot2::ggtitle("") + ggpubr::rremove("xy.text"), +# lid_plots[[3]] + ggplot2::ggtitle("") + ggpubr::rremove("xy.text"), +# lid_plots[[4]] + ggplot2::ggtitle("") + ggpubr::rremove("xy.text"), +# lid_plots[[5]] + ggplot2::ggtitle("") + ggpubr::rremove("xy.text"), +# labels = sprintf("Klimazone %s", 1:5), +# ncol = 2, +# nrow = 3) + +``` + + + From 88fb674f5b0303ea7a9fc54da1549398857ccafa Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 3 Mar 2022 16:46:15 +0100 Subject: [PATCH 26/33] adapt x-axis title to feedback of @amatzi --- vignettes/plots.Rmd | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/vignettes/plots.Rmd b/vignettes/plots.Rmd index c4060e9..6cc4ea8 100644 --- a/vignettes/plots.Rmd +++ b/vignettes/plots.Rmd @@ -283,7 +283,7 @@ lid_50percent_table_by_zone %>% position = ggplot2::position_dodge(.9) ) + ggplot2::labs(title = sprintf("Klimazone %s", climate_zone_id), - y = "J\u00E4hrlicher Regenr\u00FCckhaltanstieg je Prozent LID-Fl\u00E4chenanteil im Einzugsgebiet", + y = "% j\u00E4hrlicher Regenr\u00FCckhalt / % LID-Fl\u00E4chenanteil", x = "Designszenario", fill = "LID") + ggplot2::theme_bw() + @@ -319,5 +319,21 @@ lid_plots <- lapply(1:5, function(climate_zone_id) { ``` + + + + + + + + + + + + + + + + From 8fe902b7f2a88f0194fc2e2d93f4f995b04d10c7 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 3 Mar 2022 18:07:57 +0100 Subject: [PATCH 27/33] hack for fixing "median" LID calculation for reproducing VRR --- vignettes/plots.Rmd | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/vignettes/plots.Rmd b/vignettes/plots.Rmd index 6cc4ea8..13d831a 100644 --- a/vignettes/plots.Rmd +++ b/vignettes/plots.Rmd @@ -218,7 +218,6 @@ performances_lid <- performances %>% dplyr::left_join(performances_without_lids) %>% dplyr::ungroup() %>% dplyr::mutate(percent_lid_area = percent_lid_area, - vrr_perpercent_catchment = vrr/(percent_lid_area/100), vrr_diff = vrr - vrr_reference, vrr_diff_perpercent_catchment = vrr_diff/(percent_lid_area/100), lid_name_tidy = kwb.utils::multiSubstitute(strings = .data$lid_name_tidy, @@ -228,18 +227,16 @@ performances_lid <- performances %>% "permeable_pavement" = "Durchl\u00E4ssige Bodenbel\u00E4ge") )) %>% dplyr::group_by(dplyr::across(tidyselect::all_of(group_cols))) %>% - dplyr::summarize(vrr_perpercent_catchment_median = median(.data$vrr_perpercent_catchment), - vrr_perpercent_catchment_sd = sd(.data$vrr_perpercent_catchment), - vrr_median = median(.data$vrr), + dplyr::summarize(vrr_median = median(.data$vrr), vrr_sd = sd(.data$vrr), vrr_reference_median = median(.data$vrr_reference), vrr_reference_sd = sd(.data$vrr_reference), vrr_diff_median = median(.data$vrr_diff), vrr_diff_sd = sd(.data$vrr_diff), - vrr_diff_perpercent_catchment_median = median(.data$vrr_diff_perpercent_catchment), vrr_diff_perpercent_catchment_sd = sd(.data$vrr_diff_perpercent_catchment) - ) %>% - dplyr::arrange(dplyr::desc(.data$vrr_perpercent_catchment_median)) + ) %>% + dplyr::mutate(vrr_diff_perpercent_catchment_median = (.data$vrr_median - .data$vrr_reference_median)/(percent_lid_area/100)) %>% + dplyr::arrange(dplyr::desc(.data$vrr_diff_perpercent_catchment_median)) } lid_50percent_table <- create_lid_table(percent_lid_area = 50, From 546c1408467197ad5956be7f399d2eb867fc1005 Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 18 May 2022 13:06:17 +0200 Subject: [PATCH 28/33] add changes for final BMBF-report --- data-raw/performances.R | 43 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) diff --git a/data-raw/performances.R b/data-raw/performances.R index b29fc61..2982c95 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -78,6 +78,49 @@ performances <- keys.lid::performances %>% replacements = list("mulde_rigole" = "through-trench", "mulde" = "through"))) +performances <- keys.lid::performances %>% + dplyr::mutate(scenario_name = kwb.utils::multiSubstitute(strings = .data$scenario_name, + replacements = list("through-trench" = "mulde_rigole", + "through" = "mulde", + "with-berm" = "mit-berme", + "no-berm" = "ohne-berme", + "no-drainmat" = "keine-drainagematte", + "with-drainmat" = "mit-drainagematte", + "no-drainage" = "keine-drainage", + "with-drainage" = "mit-drainage", + "per.hour" = "pro.Stunde", + "extensive" = "extensiv", + "intensive" = "intensiv"))) %>% + dplyr::group_by(.data$lid_name_tidy, + .data$scenario_name) %>% + dplyr::mutate(scenario_id = dplyr::cur_group_id()) + +performances_without_lids <- performances %>% + dplyr::filter(.data$lid_name_tidy == "bioretention_cell", + .data$lid_area_fraction == 0, + .data$scenario_id == 1) %>% + dplyr::mutate(lid_name_tidy = "Referenz", + scenario_name = "Regenr\u00FCckhalt ohne LID") + + +mycolors <- c(rev(RColorBrewer::brewer.pal(name="Reds", n = 6)), + RColorBrewer::brewer.pal(name="Blues", n = 6)) + +performances_without_lids %>% + tidyr::unnest(.data$annual) %>% + ggplot2::ggplot(mapping = ggplot2::aes(x = .data$zone_id, + y = 100*.data$vrr)) + + ggplot2::scale_y_continuous(labels = scales::percent_format(scale = 1)) + + ggplot2::geom_boxplot() + + ggplot2::geom_jitter(mapping = ggplot2::aes(col = factor(.data$year)), + size=2, alpha=1) + + ggplot2::scale_color_manual(values = mycolors) + + ggplot2::labs(x = "Klimazone", + y = "J\u00E4hrlicher Regenr\u00FCckhalt ohne LIDs", + col = "Jahr") + + ggplot2::theme_bw() + + ggplot2::theme(legend.position="top") + #usethis::use_data(performances, compress = "gzip", overwrite = TRUE) #44.6MB #usethis::use_data(performances, compress = "bzip2", overwrite = TRUE) #18.9MB usethis::use_data(performances, compress = "xz", overwrite = TRUE) #0.6MB From d6d3e7fc30a6eeeaa13780f6f04949737e049e21 Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 18 May 2022 14:35:19 +0200 Subject: [PATCH 29/33] prep. release v0.1.0 and add missing dependency --- DESCRIPTION | 3 ++- LICENSE | 2 +- LICENSE.md | 2 +- NEWS.md | 7 +++++++ _pkgdown.yml | 19 +++++++++++++------ 5 files changed, 24 insertions(+), 9 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index adedc73..6e9a6e9 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -2,7 +2,7 @@ Package: keys.lid Title: R Package for Simulating the Impact of Different LIDs under Varying Climate Boundary Conditions on Annual Volume Rainfall Retention -Version: 0.0.0.9000 +Version: 0.1.0 Authors@R: c(person(given = "Michael", family = "Rustler", @@ -51,6 +51,7 @@ Suggests: car, covr, DT, + forcats, fs, knitr, rmarkdown diff --git a/LICENSE b/LICENSE index 75c9004..f7d575b 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ MIT License -Copyright (c) 2020-2021 Kompetenzzentrum Wasser Berlin gGmbH (KWB) +Copyright (c) 2020-2022 Kompetenzzentrum Wasser Berlin gGmbH (KWB) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/LICENSE.md b/LICENSE.md index c814deb..2bf7025 100644 --- a/LICENSE.md +++ b/LICENSE.md @@ -1,6 +1,6 @@ # MIT License -Copyright (c) 2020-2021 Kompetenzzentrum Wasser Berlin gGmbH (KWB) +Copyright (c) 2020-2022 Kompetenzzentrum Wasser Berlin gGmbH (KWB) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/NEWS.md b/NEWS.md index 1c2cb4f..5f021b2 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,10 @@ +# [keys.lid 0.1.0](https://github.com/KWB-R/kwb.fakin/releases/tag/v0.3.0) 2022-05-18 + +Workflow for assessing the hydraulic/hydrological performance of three low +impact developments (bioretention cells, green roofs, permeable pavements), +for details see [here](../articles/scenarios.html). + + # keys.lid 0.0.0.9000 * Added a `NEWS.md` file to track changes to the package. diff --git a/_pkgdown.yml b/_pkgdown.yml index ab16a10..d25d874 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -1,19 +1,26 @@ +url: https://kwb-r.github.io/keys.lid authors: Michael Rustler: href: https://mrustl.de Roberto Tatis-Muvdi: href: https://github.com/robetatis KEYS: - href: https://www.kompetenz-wasser.de/en/project/keys/ - html: + html: KWB template: - params: - bootswatch: cerulean + bootstrap: 5 + bootswatch: cerulean + bslib: + bg: '#ffffff' + fg: '#000000' + primary: '#007aff' + border-radius: 0.5rem + btn-border-radius: 0.25rem development: mode: auto From 59b179425d23c1e65e63cbb775c92b0e0189458f Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 18 May 2022 15:17:13 +0200 Subject: [PATCH 30/33] improve :book: --- index.md | 38 ++++++++++++++++++++++++++------------ 1 file changed, 26 insertions(+), 12 deletions(-) diff --git a/index.md b/index.md index 6dbcc1a..7e4a95b 100644 --- a/index.md +++ b/index.md @@ -10,20 +10,34 @@ Conditions in China on annual VRR (Volume Rainfall Retention). ## Installation -For details on how to install KWB-R packages checkout our [installation tutorial](https://kwb-r.github.io/kwb.pkgbuild/articles/install.html). +For installing the latest release of this R package run the following code below: ```r -### Optionally: specify GitHub Personal Access Token (GITHUB_PAT) -### See here why this might be important for you: -### https://kwb-r.github.io/kwb.pkgbuild/articles/install.html#set-your-github_pat +# Enable repository from kwb-r +options(repos = c( + kwbr = 'https://kwb-r.r-universe.dev', + CRAN = 'https://cloud.r-project.org')) + +# Download and install keys.lid in R +install.packages('keys.lid') + +# Browse the keys.lid manual pages +help(package = 'keys.lid') +``` + +## Workflow + +The R workflow for assessing the hydraulic/hydrological performance of +three low impact developments (`bioretention cells`, `green roofs`, `permeable pavements`) +for different LID design parameters and climatic boundary conditions (five different +climate zones in China) documented in the [Scenarios](../articles/scenarios.html) +article, which covers: + +1. **Generation of more than 400 SWMM model setups** (defined in `keys.lid::read_scenario()`), + +2. **Automatically run SWMM for all of them** from within R using `keys.lid::simulate_performances()` and finally + +3. **Temporally aggregate** (i.e. `annual rainfall retention`) **and visualise the results**. -# Sys.setenv(GITHUB_PAT = "mysecret_access_token") -# Install package "remotes" from CRAN -if (! require("remotes")) { - install.packages("remotes", repos = "https://cloud.r-project.org") -} -# Install KWB package 'keys.lid' from GitHub -remotes::install_github("KWB-R/keys.lid") -``` From e6765d8e34ee0f5d73de5be4d50d229d52cffa8e Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 18 May 2022 15:42:11 +0200 Subject: [PATCH 31/33] fix project logo --- _pkgdown.yml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/_pkgdown.yml b/_pkgdown.yml index d25d874..9f60ad4 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -6,10 +6,9 @@ authors: href: https://github.com/robetatis KEYS: href: https://www.kompetenz-wasser.de/en/forschung/projekte/keys - html: Project KEYS Kompetenzzentrum Wasser Berlin gGmbH (KWB): - href: http://www.kompetenz-wasser.de + href: https://www.kompetenz-wasser.de html: KWB template: From 22cb2c3f23210d8cbdbe50aed5ffd9f4ac7d329e Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 18 May 2022 16:04:44 +0200 Subject: [PATCH 32/33] fix link --- index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.md b/index.md index 7e4a95b..63a218a 100644 --- a/index.md +++ b/index.md @@ -30,7 +30,7 @@ help(package = 'keys.lid') The R workflow for assessing the hydraulic/hydrological performance of three low impact developments (`bioretention cells`, `green roofs`, `permeable pavements`) for different LID design parameters and climatic boundary conditions (five different -climate zones in China) documented in the [Scenarios](../articles/scenarios.html) +climate zones in China) documented in the [Scenarios](articles/scenarios.html) article, which covers: 1. **Generation of more than 400 SWMM model setups** (defined in `keys.lid::read_scenario()`), From 58f87b22514c5d762df8b2a352f3bf9d40a25f2b Mon Sep 17 00:00:00 2001 From: mrustl Date: Wed, 18 May 2022 16:08:40 +0200 Subject: [PATCH 33/33] fix link to function --- index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.md b/index.md index 63a218a..b7a81e1 100644 --- a/index.md +++ b/index.md @@ -33,7 +33,7 @@ for different LID design parameters and climatic boundary conditions (five diffe climate zones in China) documented in the [Scenarios](articles/scenarios.html) article, which covers: -1. **Generation of more than 400 SWMM model setups** (defined in `keys.lid::read_scenario()`), +1. **Generation of more than 400 SWMM model setups** (defined in `keys.lid::read_scenarios()`), 2. **Automatically run SWMM for all of them** from within R using `keys.lid::simulate_performances()` and finally

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zI?twKBW$=1Cor(Xb#Vw=A^Ri%z^e8MuuZdPI*_zE@mvl=N9gl2-VM%5%<>`}-_r(C zsO`?`KC;FXkbnXcmU{odWShcz)BKb-Nu=)snhRmP` zRm^wf>vq9FRomc<)?f7W44hY<1TRJUFr)w8=^p}`GtIG&MXFyBw}%YM`$xBb{_~u z81lP*3qr8)=T?+rYRM3V7)P-ASX?tiHK14aD+!{}RPwm}hW<%_rR!-eBW;GNZ2qT< rr3FScfdBvicJn`C00GLzFN>z+L;wH)ac?`ao8wVH0{{R300CKAn(WbN diff --git a/man/performances.Rd b/man/performances.Rd index 67ba23a..a5d53ff 100644 --- a/man/performances.Rd +++ b/man/performances.Rd @@ -5,7 +5,7 @@ \alias{performances} \title{Performance results for LIDs} \format{ -A nested tibble with 290 rows and 16 variables: +A nested tibble with 575 rows and 16 variables: \describe{ \item{zone_id}{climate zone id} \item{lid_name_tidy}{tidy LID name} diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 2858829..47a2b11 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -50,7 +50,7 @@ in China (in total: `r n_runs` model runs, which takes about `r seconds_per_run` ### takes about 2.5h for all four LIDs to simulate catchment_area_m2 <- 1000 -lid_area_fractions <- c(0,0.5,1) +lid_area_fractions <- c(0,0.25,0.5,0.75,1) ### Bioretention Cell br <- keys.lid::simulate_performances( @@ -76,18 +76,10 @@ pp <- keys.lid::simulate_performances( swmm_exe = paths$swmm_exe ) -### Rain Barrel -rb <- keys.lid::simulate_performances( - lid_selected = scenarios[scenarios$lid_name_tidy == "rain_barrel",], - lid_area_fractions = lid_area_fractions, - catchment_area_m2 = catchment_area_m2, - swmm_exe = paths$swmm_exe -) performances <- br %>% dplyr::bind_rows(gr) %>% - dplyr::bind_rows(pp) %>% - dplyr::bind_rows(rb) + dplyr::bind_rows(pp) ``` @@ -119,13 +111,6 @@ keys.lid::plot_vrr_median("permeable_pavement") ``` -#### Rain Barrel - -```{r evaluate_performance_vrr_rr, fig.height=7, fig.width=7} - -keys.lid::plot_vrr_median("rain_barrel") - -``` ### Boxplots From 8a5cd4fa4900fdda4745cec24e960d7b148e3183 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 16 Sep 2021 09:11:29 +0200 Subject: [PATCH 07/33] Fix Rcmdcheck gh-actions workflow --- .github/workflows/R-CMD-check.yaml | 7 ++++--- .gitignore | 1 + 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml index 909fbdf..2bf5cb4 100644 --- a/.github/workflows/R-CMD-check.yaml +++ b/.github/workflows/R-CMD-check.yaml @@ -22,13 +22,14 @@ jobs: fail-fast: false matrix: config: - - {os: macOS-latest, r: 'release'} - - {os: ubuntu-20.04, r: 'release', rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest"} - - {os: windows-latest, r: 'devel'} + - {os: macOS-latest, r: 'release'} + - {os: ubuntu-20.04, r: 'release', rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest"} + - {os: windows-latest, r: 'devel'} - {os: windows-latest, r: 'oldrel'} - {os: windows-latest, r: 'release'} env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} R_REMOTES_NO_ERRORS_FROM_WARNINGS: true RSPM: ${{ matrix.config.rspm }} diff --git a/.gitignore b/.gitignore index fc6142e..cd94871 100644 --- a/.gitignore +++ b/.gitignore @@ -3,3 +3,4 @@ sensitivity_analysis_models/tmp.out docs inst/doc .Rhistory +swmm_scenarios From 90fa5b8ee70c503d157154121a05ef13dc300cb9 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 16 Sep 2021 09:27:18 +0200 Subject: [PATCH 08/33] Add missing dependency --- DESCRIPTION | 1 + 1 file changed, 1 insertion(+) diff --git a/DESCRIPTION b/DESCRIPTION index fdb3c84..9192ca0 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -34,6 +34,7 @@ Imports: kwb.swmm, kwb.utils, plotly, + openxlsx, scales, stringr, swmmr, From 77335f212caebbfd60be79238bff179235c8a6c4 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 16 Sep 2021 10:53:36 +0200 Subject: [PATCH 09/33] Increase plotting width --- vignettes/scenarios.Rmd | 29 +++++++++++++++++------------ 1 file changed, 17 insertions(+), 12 deletions(-) diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 47a2b11..16d796a 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -18,6 +18,11 @@ run_total <- n_runs * seconds_per_run / 3600 run_total_hours <- round(run_total,0) run_total_minutes <- round(60*(run_total - run_total_hours),0) +vrr_fig_height <- 7 +vrr_fig_width <- 10 + +bp_fig_height <- 7 +bp_fig_width <- 10 #keys.lid::performances ``` @@ -89,7 +94,7 @@ performances <- br %>% #### Bioretention Cell -```{r evaluate_performance_vrr_br, fig.height=7, fig.width=7} +```{r evaluate_performance_vrr_br, fig.height=vrr_fig_height, fig.width=vrr_fig_width} keys.lid::plot_vrr_median("bioretention_cell") @@ -97,7 +102,7 @@ keys.lid::plot_vrr_median("bioretention_cell") #### Green Roof -```{r evaluate_performance_vrr_gr, fig.height=7, fig.width=7} +```{r evaluate_performance_vrr_gr, fig.height=vrr_fig_height, fig.width=vrr_fig_width} keys.lid::plot_vrr_median("green_roof") @@ -105,7 +110,7 @@ keys.lid::plot_vrr_median("green_roof") #### Permeable Pavements -```{r evaluate_performance_vrr_pp, fig.height=7, fig.width=7} +```{r evaluate_performance_vrr_pp, fig.height=vrr_fig_height, fig.width=vrr_fig_width} keys.lid::plot_vrr_median("permeable_pavement") @@ -120,7 +125,7 @@ Example for LID **green roof** in **climate zones 1 and 5** **Zone 1** -```{r evaluate_performance_boxplot_vrr_gr_zone1, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_vrr_gr_zone1, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 1) @@ -128,7 +133,7 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 1) **Zone 2** -```{r evaluate_performance_boxplot_vrr_gr_zone2, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_vrr_gr_zone2, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 2) @@ -136,7 +141,7 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 2) **Zone 3** -```{r evaluate_performance_boxplot_vrr_gr_zone3, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_vrr_gr_zone3, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 3) @@ -144,7 +149,7 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 3) **Zone 4** -```{r evaluate_performance_boxplot_vrr_gr_zone4, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_vrr_gr_zone4, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 4) @@ -152,7 +157,7 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 4) **Zone 5** -```{r evaluate_performance_boxplot_vrr_gr_zone5, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_vrr_gr_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 5) @@ -162,14 +167,14 @@ keys.lid::boxplot_vrr(lid = "green_roof", zone_id = 5) **Zone 1** -```{r evaluate_performance_boxplot_runoff_max_gr_zone1, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_runoff_max_gr_zone1, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_runoff_max(lid = "green_roof", zone_id = 1) ``` **Zone 5** -```{r evaluate_performance_boxplot_runoff_max_gr_zone5, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_runoff_max_gr_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_runoff_max(lid = "green_roof", zone_id = 5) @@ -179,14 +184,14 @@ keys.lid::boxplot_runoff_max(lid = "green_roof", zone_id = 5) **Zone 1** -```{r evaluate_performance_boxplot_runoff_volume_gr_zone1, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_runoff_volume_gr_zone1, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_runoff_volume(lid = "green_roof", zone_id = 1) ``` **Zone 5** -```{r evaluate_performance_boxplot_runoff_volume_gr_zone5, fig.height=7, fig.width=7} +```{r evaluate_performance_boxplot_runoff_volume_gr_zone5, fig.height=bp_fig_height, fig.width=bp_fig_width} keys.lid::boxplot_runoff_volume(lid = "green_roof", zone_id = 5) From 00aa85f64e990fa5dc29dd35dbb333cab66d8dcf Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 16 Sep 2021 11:01:51 +0200 Subject: [PATCH 10/33] Improve plotting to do: fix "boxplot_runoff_max/sum()", seem not to provide meaningful results (cross-check data aggregation!) --- R/plot.R | 26 ++++++++++++++++++-------- 1 file changed, 18 insertions(+), 8 deletions(-) diff --git a/R/plot.R b/R/plot.R index c0b6d8a..fc86cc3 100644 --- a/R/plot.R +++ b/R/plot.R @@ -30,7 +30,7 @@ plot_vrr_median <- function(lid = "bioretention_cell", .data$lid_name_tidy, .data$scenario_name, .data$lid_area_fraction) %>% - dplyr::summarise(vrr_median = stats::median(.data$vrr)) %>% + dplyr::summarise(vrr_median = stats::median(.data$vrr), .groups = "drop") %>% dplyr::ungroup() %>% ggplot2::ggplot(ggplot2::aes_string(x = "lid_area_fraction", y = "vrr_median", @@ -41,15 +41,22 @@ plot_vrr_median <- function(lid = "bioretention_cell", ggplot2::labs(title = sprintf("%s (catchment area: %d m2)", lid, catchment_area_m2), - y = "Median Volume Rainfall Retended per Year (%)") + + y = "", + x = "") + ggplot2::coord_cartesian(ylim = c(0,1)) + + ggplot2::scale_x_continuous(labels = scales::percent_format(accuracy = 1)) + ggplot2::scale_y_continuous(labels = scales::percent_format(accuracy = 1)) + ggplot2::theme_bw() + ggplot2::theme(legend.position = "bottom") plotly::ggplotly(g) %>% plotly::layout(legend = list(orientation = "h", x = 0, y = -0.1 ), - ylab = list(orientation = "v", x = 0, y = -0.4 )) + xaxis = list(title=list(text="LID area fraction (%)", + standoff = 0)), + yaxis = list(title=list(text=paste("Median Volume Rainfall Retended per Year (%)", + " ."), + automargin = TRUE)) + ) } #' Boxplot Volume Rainfall Retended per Year @@ -80,7 +87,7 @@ boxplot_vrr <- function(lid = "bioretention_cell", catchment_area_m2 <- unique(perf_selected$catchment_area_m2) perf_selected %>% - dplyr::mutate(lid_area_fraction = as.factor(.data$lid_area_fraction), + dplyr::mutate(lid_area_fraction = as.factor(.data$lid_area_fraction*100), scenario_name = as.factor(.data$scenario_name), label = sprintf("%s (%d m2)", .data$scenario_name, .data$lid_area_m2)) %>% tidyr::unnest(.data$annual) %>% @@ -97,7 +104,8 @@ boxplot_vrr <- function(lid = "bioretention_cell", zone_id, lid, catchment_area_m2), - xaxis = list(title='LID area fraction'), + xaxis = list(title='LID area fraction (%)', + standoff = 0), yaxis = list(title='Volume Rainfall Retended (%)', range = c(0, 100)), legend = list(orientation = "h", x = 0, y = -0.1 )) @@ -134,7 +142,7 @@ boxplot_runoff_max <- function(lid = "bioretention_cell", catchment_area_m2 <- unique(perf_selected$catchment_area_m2) perf_selected %>% - dplyr::mutate(lid_area_fraction = as.factor(lid_area_fraction), + dplyr::mutate(lid_area_fraction = as.factor(lid_area_fraction*100), scenario_name = as.factor(.data$scenario_name), label = sprintf("%s (%d m2)", .data$scenario_name, .data$lid_area_m2)) %>% tidyr::unnest(.data$events_max) %>% @@ -151,7 +159,8 @@ boxplot_runoff_max <- function(lid = "bioretention_cell", zone_id, lid, catchment_area_m2), - xaxis = list(title='LID area fraction'), + xaxis = list(title='LID area fraction (%)', + standoff = 0), yaxis = list(title='Maximum total runoff (mm/h per event)'), legend = list(orientation = "h", x = 0, y = -0.1 )) @@ -204,7 +213,8 @@ boxplot_runoff_volume <- function(lid = "bioretention_cell", zone_id, lid, catchment_area_m2), - xaxis = list(title='LID area fraction'), + xaxis = list(title='LID area fraction (%)', + standoff = 0), yaxis = list(title='Total Runoff Volume (m3 per m2 per event)'), legend = list(orientation = "h", x = 0, y = -0.1 )) From 0f1156330334ed1b4467278c4683b66a1a589c96 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 16 Sep 2021 11:18:26 +0200 Subject: [PATCH 11/33] Slightly decrease plotting width --- vignettes/scenarios.Rmd | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 16d796a..02371c0 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -18,11 +18,11 @@ run_total <- n_runs * seconds_per_run / 3600 run_total_hours <- round(run_total,0) run_total_minutes <- round(60*(run_total - run_total_hours),0) -vrr_fig_height <- 7 -vrr_fig_width <- 10 +vrr_fig_height <- 8.5 +vrr_fig_width <- 8.5 bp_fig_height <- 7 -bp_fig_width <- 10 +bp_fig_width <- 8.5 #keys.lid::performances ``` From 9a94e2503f4243d2493955047ad012fd1ad76179 Mon Sep 17 00:00:00 2001 From: mrustl Date: Mon, 20 Sep 2021 08:33:14 +0200 Subject: [PATCH 12/33] Fix "events_sum" statistics to-do: re-run SWMM models --- R/simulate_performance.R | 24 ++++++++++++++---------- R/simulate_performances.R | 2 -- man/simulate_performance.Rd | 4 ---- man/simulate_performances.Rd | 4 ---- 4 files changed, 14 insertions(+), 20 deletions(-) diff --git a/R/simulate_performance.R b/R/simulate_performance.R index 76f9701..84a1ffe 100644 --- a/R/simulate_performance.R +++ b/R/simulate_performance.R @@ -3,8 +3,6 @@ #' @param lid_selected tibble with a selected LID as retrieved by \code{\link{read_scenarios}} #' @param lid_area_fraction fraction of LID in subcatchment (default: 0) #' @param catchment_area_m2 catchment area (default: 1000 m2) -#' @param col_eventsep SWMM output column used for event separation (default: -#' "total_rainfall") #' @param swmm_base_inp path to SWMM model to be used as template for modification #' (default: keys.lid::extdata_file("scenarios/models/model_template.inp")) #' @param swmm_climate_dir directory with climate data @@ -42,7 +40,6 @@ simulate_performance <- function( lid_selected, lid_area_fraction = 0, catchment_area_m2 = 1000, - col_eventsep = "total_rainfall", swmm_base_inp = keys.lid::extdata_file("scenarios/models/model_template.inp"), swmm_climate_dir = keys.lid::extdata_file("rawdata/weather_sponge_regions"), swmm_exe = NULL, @@ -145,23 +142,30 @@ simulate_performance <- function( results_system <- kwb.swmm::get_results(path_out = path_out_file, vIndex = c(1,4)) %>% - dplyr::mutate(total_runoff_mmPerHour = lps_to_mmPerHour(.data$total_runoff)) + dplyr::rename(total_rainfall_mmPerHour = .data$total_rainfall, + total_runoff_litrePerSecond = .data$total_runoff) %>% + dplyr::mutate(total_runoff_mmPerHour = lps_to_mmPerHour(.data$total_runoff_litrePerSecond)) %>% + dplyr::select(- .data$total_runoff_litrePerSecond) results_vrr <- results_system %>% dplyr::mutate(year = lubridate::year(.data$datetime)) %>% dplyr::group_by(.data$year) %>% - dplyr::summarise(vrr = 1 - (sum(.data$total_runoff_mmPerHour) / sum(.data$total_rainfall))) + dplyr::summarise(vrr = 1 - (sum(.data$total_runoff_mmPerHour) / sum(.data$total_rainfall_mmPerHour))) + col_eventsep <- "total_rainfall_mmPerHour" - rainevent_stats_sum <- kwb.swmm::calculate_rainevent_stats(results_system, + rainevent_stats_mean <- kwb.swmm::calculate_rainevent_stats(results_system, col_eventsep = col_eventsep, - aggregation_function = "sum") %>% - dplyr::arrange(dplyr::desc(.data$sum_total_rainfall)) + aggregation_function = "mean") %>% + dplyr::mutate(rainfall_cbm = .data$dur * .data$mean_total_rainfall_mmPerHour/3600/1000, + runoff_cbm = .data$dur * .data$mean_total_runoff_mmPerHour/3600/1000, + vrr = 1 - runoff_cbm / rainfall_cbm) %>% + dplyr::arrange(dplyr::desc(.data$mean_total_rainfall_mmPerHour)) rainevent_stats_max <- kwb.swmm::calculate_rainevent_stats(results_system, col_eventsep = col_eventsep, aggregation_function = "max") %>% - dplyr::arrange(dplyr::desc(.data$max_total_rainfall)) + dplyr::arrange(dplyr::desc(.data$max_total_rainfall_mmPerHour)) tibble::tibble(lid_name_tidy = unique(lid_selected$lid_name_tidy), @@ -173,7 +177,7 @@ simulate_performance <- function( lid_controls = list(lid_controls), subcatchment = list(subcatchment), annual = list(results_vrr), - events_sum = list(rainevent_stats_sum), + events_sum = list(rainevent_stats_mean), events_max = list(rainevent_stats_max), col_eventsep = col_eventsep, model_inp = path_inp_file, diff --git a/R/simulate_performances.R b/R/simulate_performances.R index ff77249..49ce87f 100644 --- a/R/simulate_performances.R +++ b/R/simulate_performances.R @@ -27,7 +27,6 @@ simulate_performances <- function( lid_selected, lid_area_fractions = c(0,1), catchment_area_m2 = 1000, - col_eventsep = "total_rainfall", swmm_base_inp = keys.lid::extdata_file("scenarios/models/model_template.inp"), swmm_climate_dir = keys.lid::extdata_file("rawdata/weather_sponge_regions"), swmm_exe = NULL, @@ -41,7 +40,6 @@ simulate_performances <- function( simulate_performance(lid_selected, lid_area_fraction, catchment_area_m2, - col_eventsep, swmm_base_inp, swmm_climate_dir, swmm_exe, diff --git a/man/simulate_performance.Rd b/man/simulate_performance.Rd index 3711729..aea434d 100644 --- a/man/simulate_performance.Rd +++ b/man/simulate_performance.Rd @@ -8,7 +8,6 @@ simulate_performance( lid_selected, lid_area_fraction = 0, catchment_area_m2 = 1000, - col_eventsep = "total_rainfall", swmm_base_inp = keys.lid::extdata_file("scenarios/models/model_template.inp"), swmm_climate_dir = keys.lid::extdata_file("rawdata/weather_sponge_regions"), swmm_exe = NULL, @@ -23,9 +22,6 @@ simulate_performance( \item{catchment_area_m2}{catchment area (default: 1000 m2)} -\item{col_eventsep}{SWMM output column used for event separation (default: -"total_rainfall")} - \item{swmm_base_inp}{path to SWMM model to be used as template for modification (default: keys.lid::extdata_file("scenarios/models/model_template.inp"))} diff --git a/man/simulate_performances.Rd b/man/simulate_performances.Rd index d84ee66..eb70c11 100644 --- a/man/simulate_performances.Rd +++ b/man/simulate_performances.Rd @@ -8,7 +8,6 @@ simulate_performances( lid_selected, lid_area_fractions = c(0, 1), catchment_area_m2 = 1000, - col_eventsep = "total_rainfall", swmm_base_inp = keys.lid::extdata_file("scenarios/models/model_template.inp"), swmm_climate_dir = keys.lid::extdata_file("rawdata/weather_sponge_regions"), swmm_exe = NULL, @@ -23,9 +22,6 @@ simulate_performances( \item{catchment_area_m2}{catchment area (default: 1000 m2)} -\item{col_eventsep}{SWMM output column used for event separation (default: -"total_rainfall")} - \item{swmm_base_inp}{path to SWMM model to be used as template for modification (default: keys.lid::extdata_file("scenarios/models/model_template.inp"))} From 716951d0d4a277bc2d91b8902fa968b8450a9c4e Mon Sep 17 00:00:00 2001 From: mrustl Date: Mon, 20 Sep 2021 08:33:48 +0200 Subject: [PATCH 13/33] Adapt plot for new parameter --- R/plot.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/plot.R b/R/plot.R index fc86cc3..0e54f28 100644 --- a/R/plot.R +++ b/R/plot.R @@ -203,9 +203,9 @@ boxplot_runoff_volume <- function(lid = "bioretention_cell", .data$lid_name_tidy, .data$scenario_name, .data$lid_area_fraction) %>% - dplyr::mutate(sum_total_runoff_cbm = .data$dur * .data$sum_total_runoff / 1000 / catchment_area_m2) %>% + dplyr::mutate(runoff_cbmPerSqm = .data$runoff_cbm / catchment_area_m2) %>% plotly::plot_ly(x = ~lid_area_fraction, - y = ~sum_total_runoff_cbm, + y = ~runoff_cbmPerSqm, color = ~scenario_name, type = "box") %>% plotly::layout(boxmode = "group", @@ -213,9 +213,9 @@ boxplot_runoff_volume <- function(lid = "bioretention_cell", zone_id, lid, catchment_area_m2), - xaxis = list(title='LID area fraction (%)', + xaxis = list(title="LID area fraction (%)", standoff = 0), - yaxis = list(title='Total Runoff Volume (m3 per m2 per event)'), + yaxis = list(title="Total Runoff Volume (m3 per m2 per event)"), legend = list(orientation = "h", x = 0, y = -0.1 )) From 5e6a3dca5744c8ec4d68b511e932df9aa52bea61 Mon Sep 17 00:00:00 2001 From: mrustl Date: Tue, 21 Sep 2021 08:44:15 +0200 Subject: [PATCH 14/33] Re-run SWMM LID simulation after fixing "events_sum" calculation. In addition do not run "rain_barrels" anymore! --- R/plot.R | 6 +++--- data-raw/performances.R | 8 -------- data/performances.rda | Bin 1060396 -> 1380476 bytes 3 files changed, 3 insertions(+), 11 deletions(-) diff --git a/R/plot.R b/R/plot.R index 0e54f28..c5c0165 100644 --- a/R/plot.R +++ b/R/plot.R @@ -203,9 +203,9 @@ boxplot_runoff_volume <- function(lid = "bioretention_cell", .data$lid_name_tidy, .data$scenario_name, .data$lid_area_fraction) %>% - dplyr::mutate(runoff_cbmPerSqm = .data$runoff_cbm / catchment_area_m2) %>% + dplyr::mutate(runoff_LitrePerSqm = .data$runoff_cbm * 1000 / catchment_area_m2) %>% plotly::plot_ly(x = ~lid_area_fraction, - y = ~runoff_cbmPerSqm, + y = ~runoff_LitrePerSqm, color = ~scenario_name, type = "box") %>% plotly::layout(boxmode = "group", @@ -215,7 +215,7 @@ boxplot_runoff_volume <- function(lid = "bioretention_cell", catchment_area_m2), xaxis = list(title="LID area fraction (%)", standoff = 0), - yaxis = list(title="Total Runoff Volume (m3 per m2 per event)"), + yaxis = list(title="Total Runoff Volume (litre per m2 per event)"), legend = list(orientation = "h", x = 0, y = -0.1 )) diff --git a/data-raw/performances.R b/data-raw/performances.R index 9c2754f..6853145 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -37,14 +37,6 @@ pp <- keys.lid::simulate_performances( swmm_exe = paths$swmm_exe ) -### Rain Barrel -rb <- keys.lid::simulate_performances( - lid_selected = scenarios[scenarios$lid_name_tidy == "rain_barrel",], - lid_area_fractions = lid_area_fractions, - catchment_area_m2 = catchment_area_m2, - swmm_exe = paths$swmm_exe -) - performances <- br %>% dplyr::bind_rows(gr) %>% dplyr::bind_rows(pp) diff --git a/data/performances.rda b/data/performances.rda index 8b46255c9ee91bb89309861110e60fc59d8a3c09..a7bb25e3a3faafd7f1d531b03e01ffec414ab30e 100644 GIT binary patch delta 1362954 zcmV(vKrS3%d?M<6a0Ob(x-s^`nBMHcFr6^A541$8Ej{S*6zvzbrz2+980Xc5ct_#^p6;N 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zI?twKBW$=1Cor(Xb#Vw=A^Ri%z^e8MuuZdPI*_zE@mvl=N9gl2-VM%5%<>`}-_r(C zsO`?`KC;FXkbnXcmU{odWShcz)BKb-Nu=)snhRmP` zRm^wf>vq9FRomc<)?f7W44hY<1TRJUFr)w8=^p}`GtIG&MXFyBw}%YM`$xBb{_~u z81lP*3qr8)=T?+rYRM3V7)P-ASX?tiHK14aD+!{}RPwm}hW<%_rR!-eBW;GNZ2qT< rr3FScfdBvicJn`C00GLzFN>z+L;wH)ac?`ao8wVH0{{R300CKAn(WbN literal 0 HcmV?d00001 diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index 371b19f..f8e9187 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -12,6 +12,11 @@ knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) +n_runs <- nrow(keys.lid::performances) +seconds_per_run <- 30 +run_total <- n_runs * seconds_per_run / 3600 +run_total_hours <- round(run_total,0) +run_total_minutes <- round(60*(run_total - run_total_hours),0) #keys.lid::performances ``` @@ -39,8 +44,7 @@ DT::datatable(scenarios) The SWMM simulations (years: 2008 - 2019) and calculation of performance metrics (volume rainfall retended, rainfall event sums/max) for four LIDs with different parameterisations and for five different climate zones -in China (in total: 290 model runs) takes about 2h 20min (~ 30 seconds per model -run) on my laptop. +in China (in total: `r n_runs` model runs, which takes about `r seconds_per_run` `seconds per run`, i.e. in total `r run_total_hours` hours `r run_total_minutes` minutes on my laptop). ```{r simulate_performances, eval = FALSE} From ad8930b660f310a741524e92d9f6a92079aa8b92 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 15 Jul 2021 14:09:56 +0200 Subject: [PATCH 05/33] Add function for exporting results to Excel --- NAMESPACE | 3 +++ R/export_performances.R | 35 +++++++++++++++++++++++++++++++++++ man/export_performances.Rd | 18 ++++++++++++++++++ vignettes/scenarios.Rmd | 8 ++++++++ 4 files changed, 64 insertions(+) create mode 100644 R/export_performances.R create mode 100644 man/export_performances.Rd diff --git a/NAMESPACE b/NAMESPACE index 98529d9..0d6c081 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -5,6 +5,7 @@ export(boxplot_runoff_max) export(boxplot_runoff_volume) export(boxplot_vrr) export(computeVol) +export(export_performances) export(extdata_file) export(lidconfig_to_swmm) export(makeRainfallRunoffEvents) @@ -35,6 +36,7 @@ importFrom(kwb.utils,catAndRun) importFrom(kwb.utils,resolve) importFrom(lubridate,year) importFrom(magrittr,"%>%") +importFrom(openxlsx,write.xlsx) importFrom(plotly,ggplotly) importFrom(plotly,layout) importFrom(plotly,plot_ly) @@ -54,6 +56,7 @@ importFrom(swmmr,read_out) importFrom(swmmr,run_swmm) importFrom(swmmr,write_inp) importFrom(tibble,tibble) +importFrom(tidyr,nest) importFrom(tidyr,pivot_longer) importFrom(tidyr,pivot_wider) importFrom(tidyr,unnest) diff --git a/R/export_performances.R b/R/export_performances.R new file mode 100644 index 0000000..4669223 --- /dev/null +++ b/R/export_performances.R @@ -0,0 +1,35 @@ +#' Title +#' +#' @param export_dir default: tempdir() +#' +#' @return write "performances" to "swmm_lid-performances.xlsx" in directory +#' "export_dir" and return path to fike +#' @export +#' +#' @importFrom stats setNames +#' @importFrom tidyselect all_of +#' @importFrom openxlsx write.xlsx +#' @importFrom dplyr select +#' @importFrom tidyr nest +export_performances <- function(export_dir = tempdir()) { + + path <- file.path(export_dir, "swmm_lid-performances.xlsx") + + list_elements <- names(performances)[sapply(performances, is.list)] + + + unnest_list_col <- function(list_element) { + list_elements_to_remove <- list_elements[! list_elements %in% list_element] + + performances %>% + dplyr::select(!tidyselect::all_of(list_elements_to_remove)) %>% + tidyr::unnest(tidyselect::all_of(list_element)) + } + + export <- stats::setNames(lapply(list_elements, function(list_element) { + unnest_list_col(list_element)}), + list_elements) + + openxlsx::write.xlsx(x = export, file = path) + path +} diff --git a/man/export_performances.Rd b/man/export_performances.Rd new file mode 100644 index 0000000..f8c5931 --- /dev/null +++ b/man/export_performances.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/export_performances.R +\name{export_performances} +\alias{export_performances} +\title{Title} +\usage{ +export_performances(export_dir = tempdir()) +} +\arguments{ +\item{export_dir}{default: tempdir()} +} +\value{ +write "performances" to "swmm_lid-performances.xlsx" in directory +"export_dir" and return path to fike +} +\description{ +Title +} diff --git a/vignettes/scenarios.Rmd b/vignettes/scenarios.Rmd index f8e9187..2858829 100644 --- a/vignettes/scenarios.Rmd +++ b/vignettes/scenarios.Rmd @@ -206,3 +206,11 @@ keys.lid::boxplot_runoff_volume(lid = "green_roof", zone_id = 1) keys.lid::boxplot_runoff_volume(lid = "green_roof", zone_id = 5) ``` + +## Export Results to Excel + +```{r export_results_to_excel, eval = FALSE} + +keys.lid::export_performances() + +``` From 9b240e1136dc0683aacbb24797baf96bf99f90d9 Mon Sep 17 00:00:00 2001 From: mrustl Date: Thu, 16 Sep 2021 08:07:17 +0200 Subject: [PATCH 06/33] Add results for lid_fractions 0.25/0.75 and remove LID "rain barrels" (no meaningfull results if modelled without "water use") --- R/performances.R | 2 +- data-raw/performances.R | 5 ++--- data/performances.rda | Bin 779124 -> 1060396 bytes man/performances.Rd | 2 +- vignettes/scenarios.Rmd | 19 ++----------------- 5 files changed, 6 insertions(+), 22 deletions(-) diff --git a/R/performances.R b/R/performances.R index 8def19a..4b08092 100644 --- a/R/performances.R +++ b/R/performances.R @@ -3,7 +3,7 @@ #' A dataset containing the performance of LIDs for different climate conditions #' created with R script in /data-raw/performances.R #' -#' @format A nested tibble with 290 rows and 16 variables: +#' @format A nested tibble with 575 rows and 16 variables: #' \describe{ #' \item{zone_id}{climate zone id} #' \item{lid_name_tidy}{tidy LID name} diff --git a/data-raw/performances.R b/data-raw/performances.R index c710957..9c2754f 100644 --- a/data-raw/performances.R +++ b/data-raw/performances.R @@ -11,7 +11,7 @@ paths <- kwb.utils::resolve(paths_list) ### takes about 2.5h for all four LIDs to simulate catchment_area_m2 <- 1000 -lid_area_fractions <- c(0,0.5,1) +lid_area_fractions <- c(0,0.25,0.5,0.75,1) ### Bioretention Cell br <- keys.lid::simulate_performances( @@ -47,8 +47,7 @@ rb <- keys.lid::simulate_performances( performances <- br %>% dplyr::bind_rows(gr) %>% - dplyr::bind_rows(pp) %>% - dplyr::bind_rows(rb) + dplyr::bind_rows(pp) #saveRDS(object = performances, file = "performances.rds") #readRDS(file = "performances.rds") diff --git a/data/performances.rda b/data/performances.rda index 6ed8026f511259d224a32191076e3db6a90a0d85..8b46255c9ee91bb89309861110e60fc59d8a3c09 100644 GIT binary patch literal 1060396 zcmV(#K;*yuH+ooF0004LBHlIv03iV!0000G&sfa$TXOIIT>vQ&2UJ%gRpOV=m zER25I=u;;oUSDOg^Yb8_XE{T!@j41Mrg!2Y2hZG0TlGivZ&WKwrshU|FyB^a6a2IY zeHtq_FD2P5JlT!1=~B!EFjgv?(J2ijaz7yx5;&TfnrsP7A^y0DsZ`uYQ9W 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