diff options
Diffstat (limited to 'inst')
-rw-r--r-- | inst/data_generation/EFSA_GW_interception.R | 29 | ||||
-rw-r--r-- | inst/data_generation/EFSA_washoff_2017.R | 29 | ||||
-rw-r--r-- | inst/data_generation/FOCUS_GW_scenarios_2012.R (renamed from inst/extdata/FOCUS_GW_scenarios_2012.R) | 6 | ||||
-rw-r--r-- | inst/data_generation/PEC_sw_exposit.R | 34 | ||||
-rw-r--r-- | inst/data_generation/drift_data_JKI.R | 47 | ||||
-rw-r--r-- | inst/data_generation/drift_parameters_Rautmann.R | 5 | ||||
-rw-r--r-- | inst/data_generation/soil_scenario_data_EFSA.R | 40 |
7 files changed, 189 insertions, 1 deletions
diff --git a/inst/data_generation/EFSA_GW_interception.R b/inst/data_generation/EFSA_GW_interception.R new file mode 100644 index 0000000..353b676 --- /dev/null +++ b/inst/data_generation/EFSA_GW_interception.R @@ -0,0 +1,29 @@ +library(here) + +bbch <- paste0(0:9, "x") +crops <- c( + "Beans (field + vegetable)", + "Peas", + "Summer oilseed rape", "Winter oilseed rape", + "Tomatoes", + "Spring cereals", "Winter cereals") +EFSA_GW_interception_2014 <- matrix(NA, length(crops), length(bbch), + dimnames = list(Crop = crops, BBCH = bbch)) +EFSA_GW_interception_2014["Beans (field + vegetable)", ] <- + c(0, 0.25, rep(0.4, 2), rep(0.7, 5), 0.8) +EFSA_GW_interception_2014["Peas", ] <- + c(0, 0.35, rep(0.55, 2), rep(0.85, 5), 0.85) +EFSA_GW_interception_2014["Summer oilseed rape", ] <- + c(0, 0.4, rep(0.8, 2), rep(0.8, 5), 0.9) +EFSA_GW_interception_2014["Winter oilseed rape", ] <- + c(0, 0.4, rep(0.8, 2), rep(0.8, 5), 0.9) +EFSA_GW_interception_2014["Tomatoes", ] <- + c(0, 0.5, rep(0.7, 2), rep(0.8, 5), 0.5) +EFSA_GW_interception_2014["Spring cereals", ] <- + c(0, 0, 0.2, 0.8, rep(0.9, 3), rep(0.8, 2), 0.8) +EFSA_GW_interception_2014["Winter cereals", ] <- + c(0, 0, 0.2, 0.8, rep(0.9, 3), rep(0.8, 2), 0.8) + +save(EFSA_GW_interception_2014, + file = here("data/EFSA_GW_interception_2014.RData")) + diff --git a/inst/data_generation/EFSA_washoff_2017.R b/inst/data_generation/EFSA_washoff_2017.R new file mode 100644 index 0000000..cbe43c6 --- /dev/null +++ b/inst/data_generation/EFSA_washoff_2017.R @@ -0,0 +1,29 @@ +library(here) + +bbch <- paste0(0:9, "x") +crops <- c( + "Beans (field + vegetable)", + "Peas", + "Summer oilseed rape", "Winter oilseed rape", + "Tomatoes", + "Spring cereals", "Winter cereals") +EFSA_washoff_2017 <- matrix(NA, length(crops), length(bbch), + dimnames = list(Crop = crops, BBCH = bbch)) +EFSA_washoff_2017["Beans (field + vegetable)", ] <- + c(NA, 0.6, rep(0.75, 2), rep(0.8, 5), 0.35) +EFSA_washoff_2017["Peas", ] <- + c(NA, 0.4, rep(0.6, 2), rep(0.65, 5), 0.35) +EFSA_washoff_2017["Summer oilseed rape", ] <- + c(NA, 0.4, rep(0.5, 2), rep(0.6, 5), 0.5) +EFSA_washoff_2017["Winter oilseed rape", ] <- + c(NA, 0.1, rep(0.4, 2), rep(0.55, 5), 0.3) +EFSA_washoff_2017["Tomatoes", ] <- + c(NA, 0.55, rep(0.75, 2), rep(0.7, 5), 0.35) +EFSA_washoff_2017["Spring cereals", ] <- + c(NA, 0.4, 0.5, 0.5, rep(0.65, 3), rep(0.65, 2), 0.55) +EFSA_washoff_2017["Winter cereals", ] <- + c(NA, 0.1, 0.4, 0.6, rep(0.55, 3), rep(0.6, 2), 0.4) + +save(EFSA_washoff_2017, + file = here("data/EFSA_washoff_2017.RData")) + diff --git a/inst/extdata/FOCUS_GW_scenarios_2012.R b/inst/data_generation/FOCUS_GW_scenarios_2012.R index 3715325..1358b8d 100644 --- a/inst/extdata/FOCUS_GW_scenarios_2012.R +++ b/inst/data_generation/FOCUS_GW_scenarios_2012.R @@ -1,3 +1,5 @@ +library(here) + # FOCUS 2012 p. 46 ff FOCUS_GW_scenarios_2012 = list() @@ -56,4 +58,6 @@ FOCUS_GW_scenarios_2012$soils <- data.frame( 1, 0.5, 0.3, 0, 1, 1, 0.5, 0.3, 0, 0, 1, 0.5, 0.5, 0.3, 0.3, 0)) -save(FOCUS_GW_scenarios_2012, file = "../../data/FOCUS_GW_scenarios_2012.RData") + +save(FOCUS_GW_scenarios_2012, + file = here("data/FOCUS_GW_scenarios_2012.RData")) diff --git a/inst/data_generation/PEC_sw_exposit.R b/inst/data_generation/PEC_sw_exposit.R new file mode 100644 index 0000000..f7d9737 --- /dev/null +++ b/inst/data_generation/PEC_sw_exposit.R @@ -0,0 +1,34 @@ +library(here) + +# Runoff percentages +Koc_breaks <- c(0, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000, Inf) +tmp <- paste(Koc_breaks[1:11], Koc_breaks[2:12], sep = "-") +Koc_classes <- c(tmp[1], paste0(">", tmp[2:11]), ">50000") +perc_runoff_exposit <- data.frame( + Koc_lower_bound = Koc_breaks[1:12], + dissolved = c(0.11, 0.151, 0.197, 0.248, 0.224, 0.184, 0.133, 0.084, 0.037, 0.031, 0.014, 0.001), + bound = c(0, 0, 0, 0.001, 0.004, 0.020, 0.042, 0.091, 0.159, 0.192, 0.291, 0.451)) +rownames(perc_runoff_exposit) <- Koc_classes + +# Runoff reduction percentages +perc_runoff_reduction_exposit <- list( + "3.02" = data.frame( + dissolved = c(0, 40, 60, 80), + bound = c(0, 40, 85, 95), + row.names = c("No buffer", paste(c(5, 10, 20), "m"))), + "3.01a" = data.frame( + dissolved = c(0, 25, 40, 45, 60, 80), + bound = c(0, 30, 40, 55, 85, 95), + row.names = c("No buffer", paste(c(3, 5, 6, 10, 20), "m"))), + "3.01a2" = data.frame( + dissolved = c(0, 25), + bound = c(0, 25), + row.names = c("No buffer", paste(c(3), "m"))), + "2.0" = data.frame( + dissolved = c(0, 97.5), + bound = c(0, 97.5), + row.names = c("No buffer", "20 m")) +) + +save(perc_runoff_exposit, perc_runoff_reduction_exposit, + file = here("data/perc_runoff.RData")) diff --git a/inst/data_generation/drift_data_JKI.R b/inst/data_generation/drift_data_JKI.R new file mode 100644 index 0000000..d28409c --- /dev/null +++ b/inst/data_generation/drift_data_JKI.R @@ -0,0 +1,47 @@ +library(here) + +# The following code was in the example code of the help page of the data object up to pfm version 0.6.0 +# It was not executed after migrating it to this directory (inst/data_generation), because +# the spreadsheet is not available at the JKI website any more. +library(readxl) +abdrift_path <- here("inst/extdata/Tabelle der Abdrifteckwerte.xls") +JKI_crops <- c("Ackerbau", "Obstbau frueh", "Obstbau spaet", "Weinbau frueh", "Weinbau spaet", + "Hopfenbau", "Flaechenkulturen > 900 l/ha", "Gleisanlagen") +names(JKI_crops) <- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late", + "Vines early", "Vines late", "Hops", "Areic cultures > 900 L/ha", "Railroad tracks") +drift_data_JKI <- list() + +for (n in 1:8) { + drift_data_raw <- read_excel(abdrift_path, sheet = n + 1, skip = 2) + drift_data <- matrix(NA, nrow = 9, ncol = length(JKI_crops)) + dimnames(drift_data) <- list(distance = drift_data_raw[[1]][1:9], + crop = JKI_crops) + if (n == 1) { # Values for railroad tracks only present for one application + drift_data[, c(1:3, 5:8)] <- as.matrix(drift_data_raw[c(2:7, 11)][1:9, ]) + } else { + drift_data[, c(1:3, 5:7)] <- as.matrix(drift_data_raw[c(2:7)][1:9, ]) + } + drift_data_JKI[[n]] <- drift_data +} + +# Manual data entry from the Rautmann paper +drift_data_JKI[[1]]["3", "Ackerbau"] <- 0.95 +drift_data_JKI[[1]][, "Weinbau frueh"] <- c(NA, 2.7, 1.18, 0.39, 0.2, 0.13, 0.07, 0.04, 0.03) +drift_data_JKI[[2]]["3", "Ackerbau"] <- 0.79 +drift_data_JKI[[2]][, "Weinbau frueh"] <- c(NA, 2.53, 1.09, 0.35, 0.18, 0.11, 0.06, 0.03, 0.02) +drift_data_JKI[[3]]["3", "Ackerbau"] <- 0.68 +drift_data_JKI[[3]][, "Weinbau frueh"] <- c(NA, 2.49, 1.04, 0.32, 0.16, 0.10, 0.05, 0.03, 0.02) +drift_data_JKI[[4]]["3", "Ackerbau"] <- 0.62 +drift_data_JKI[[4]][, "Weinbau frueh"] <- c(NA, 2.44, 1.02, 0.31, 0.16, 0.10, 0.05, 0.03, 0.02) +drift_data_JKI[[5]]["3", "Ackerbau"] <- 0.59 +drift_data_JKI[[5]][, "Weinbau frueh"] <- c(NA, 2.37, 1.00, 0.31, 0.15, 0.09, 0.05, 0.03, 0.02) +drift_data_JKI[[6]]["3", "Ackerbau"] <- 0.56 +drift_data_JKI[[6]][, "Weinbau frueh"] <- c(NA, 2.29, 0.97, 0.30, 0.15, 0.09, 0.05, 0.03, 0.02) +drift_data_JKI[[7]]["3", "Ackerbau"] <- 0.55 +drift_data_JKI[[7]][, "Weinbau frueh"] <- c(NA, 2.24, 0.94, 0.29, 0.15, 0.09, 0.05, 0.03, 0.02) +drift_data_JKI[[8]]["3", "Ackerbau"] <- 0.52 +drift_data_JKI[[8]][, "Weinbau frueh"] <- c(NA, 2.16, 0.91, 0.28, 0.14, 0.09, 0.04, 0.03, 0.02) + +# Save the data +save(drift_data_JKI, + file = here("data/drift_data_JKI.RData")) diff --git a/inst/data_generation/drift_parameters_Rautmann.R b/inst/data_generation/drift_parameters_Rautmann.R new file mode 100644 index 0000000..2dea272 --- /dev/null +++ b/inst/data_generation/drift_parameters_Rautmann.R @@ -0,0 +1,5 @@ +library(here) + +save(drift_parameters_Rautmann, + file = "../data/drift_parameters_Rautmann.RData") + diff --git a/inst/data_generation/soil_scenario_data_EFSA.R b/inst/data_generation/soil_scenario_data_EFSA.R new file mode 100644 index 0000000..80b5ce2 --- /dev/null +++ b/inst/data_generation/soil_scenario_data_EFSA.R @@ -0,0 +1,40 @@ +library(here) + +# Data from 2015 +soil_scenario_data_EFSA_2015 <- data.frame( + Zone = rep(c("North", "Central", "South"), 2), + Country = c("Estonia", "Germany", "France", "Denmark", "Czech Republik", "Spain"), + T_arit = c(4.7, 8.0, 11.0, 8.2, 9.1, 12.8), + T_arr = c(7.0, 10.1, 12.3, 9.8, 11.2, 14.7), + Texture = c("Coarse", "Coarse", "Medium fine", "Medium", "Medium", "Medium"), + f_om = c(0.118, 0.086, 0.048, 0.023, 0.018, 0.011), + theta_fc = c(0.244, 0.244, 0.385, 0.347, 0.347, 0.347), + rho = c(0.95, 1.05, 1.22, 1.39, 1.43, 1.51), + f_sce = c(3, 2, 2, 2, 1.5, 1.5), + f_mod = c(2, 2, 2, 4, 4, 4), + stringsAsFactors = FALSE, + row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS") +) +save(soil_scenario_data_EFSA_2015, + file = here('data/soil_scenario_data_EFSA_2015.RData')) + +# Data from 2017 +soil_scenario_data_EFSA_2017 <- data.frame( + Zone = rep(c("North", "Central", "South"), 2), + Country = c("Estonia", "Poland", "France", "Denmark", "Austria", "Spain"), + T_arit = c(5.7, 7.4, 10.2, 8.0, 9.3, 15.4), + T_arr = c(7.6, 9.3, 11.7, 9.2, 11.3, 16.7), + Texture = c("Coarse", "Coarse", "Medium", "Medium", "Medium", "Medium"), + f_om = c(0.220, 0.122, 0.070, 0.025, 0.018, 0.010), + theta_fc = c(0.244, 0.244, 0.349, 0.349, 0.349, 0.349), + rho = c(0.707, 0.934, 1.117, 1.371, 1.432, 1.521), + f_sce = rep(c(1.4, 1.6), each = 3), + f_mod = rep(c(3, 4), each = 3), + FOCUS_zone = c("Hamburg", "Hamburg", "Hamburg", "Hamburg", "Ch\u00e2teaudun", "Sevilla"), + prec = c(639, 617, 667, 602, 589, 526), + stringsAsFactors = FALSE, + row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS") +) + +save(soil_scenario_data_EFSA_2017, + file = here('data/soil_scenario_data_EFSA_2017.RData')) |