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WRTDS implementation using DataForEver data
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### Weighted regression using time, discharge, and season | |
### Application of EGRET tools to DataForEver data | |
library(plyr) | |
library(SFNRC) | |
# Meta-analysis ----------------------------------------------------------- | |
targStns <- c("S333", "S12A", "S12B", "S12C", "S12D") #, "S151", "S343", "S332") | |
targAnalyte <- "PHOSPHATE, TOTAL AS P" | |
test <- lapply(targStns, function(stnSelect) | |
modelEstimation(convertToEgret(stn = stnSelect, target_analyte = targAnalyte, | |
wq_data = wqDat, flow_data = hydDat))) | |
lapply(test, fluxBiasMulti) | |
lapply(test, plotConcHist) | |
mdiff <- 0.04 | |
yearStart <- 1985 | |
yearEnd <- 2015 | |
lapply(test, plotDiffContours, yearStart, yearEnd, qBottom, qTop, qUnit = 1, maxDiff = mdiff) | |
# plotDiffContours(test[[1]], yearStart, yearEnd, qBottom, qTop, qUnit = 1, maxDiff = mdiff) | |
targStn <- "S12C" | |
targStns <- c("S333", "S12A", "S12D", "S12C", "S12D") | |
targAnalyte <- "PHOSPHATE, TOTAL AS P" | |
eList <- convertToEgret(stn = targStn, target_analyte = targAnalyte, | |
wq_data = wqDat, flow_data = hydDat) | |
############################ | |
# Check sample data: | |
boxConcMonth(eList) | |
boxQTwice(eList) | |
### model | |
eList <- modelEstimation(eList) | |
############################ | |
#Check model results: | |
#eList: | |
plotConcTimeDaily(eList) | |
plotConcPred(eList) | |
plotFluxPred(eList) | |
plotResidPred(eList) | |
plotResidQ(eList) | |
plotResidTime(eList) | |
boxResidMonth(eList) | |
#Require Daily + INFO: | |
plotConcHist(eList) | |
# Multi-line plots: | |
date1 <- "2000-09-01" | |
date2 <- "2005-09-01" | |
date3 <- "2009-09-01" | |
qBottom <- 1 | |
qTop <- 10000 | |
plotConcQSmooth(eList, date1, date2, date3, qBottom, qTop, | |
concMax=1,qUnit=1) | |
fluxBiasMulti(eList) | |
#Contour plots: | |
clevel<-seq(0,2,0.5) | |
maxDiff<-0.8 | |
yearStart <- 2000 | |
yearEnd <- 2010 | |
plotContours(eList, yearStart,yearEnd, qBottom, qTop, | |
contourLevels = NA ,qUnit=1) |
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