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FF_Ann2.Rmd
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FF_Ann2.Rmd
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---
title: "Generation"
author: "Gustavo Facincani Dourado"
date: "6/12/2020"
output: html_document
---
```{r}
library(lfstat)
library(extrafont)
library(reshape2)
library(dplyr)
library(ggplot2)
library(readr)
```
```{r}
#Merced
#No Instreamflow Requirement 2009 - 1,2,6,10
#No IFR 2009 - 1,3,7,11
#No Instreamflow Requirement 2009 - 1,4,8,12
#No IFR 2009 - 1,5,9,13
#Tuolumne
#No Instreamflow Requirement 2009 - 1,2,6,10,14
#No IFR 2009 - 1,3,7,11,15
#No Instreamflow Requirement 2009 - 1,4,8,12,16
#No IFR 2009 - 1,5,9,13,17
#Stanislaus
#No Instreamflow Requirement - 1,2,6,10,14,18,22,26,30,34,38,42
#No IFR 2009 - 1,3,7,11,15,19,23,27,31,35,39,43
#No Instreamflow Requirement 2009 - 1,4,8,12,16,20,24,28,32,36,40,44
#No IFR 2009 - 1,5,9,13,17,21,25,29,33,37,41,45
#USJ
#No Instreamflow Requirement 2009 - 1,2,6,10,14,18,22,26,30,34,38,42,46,50,54,58,62
#No IFR 2009 - 1,3,7,11,15,19,23,27,31,35,39,43,47,51,55,59,63
#No Instreamflow Requirement 2009 - 1,4,8,12,16,20,24,28,32,36,40,44,48,52,56,60,64
#No IFR 2009 - 1,5,9,13,17,21,25,29,33,37,41,45,49,53,57,61,65
```
```{r}
#FF
Livneh_Gen_Mer_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c( 1,4,7,10)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_Mer_FF <- Livneh_Gen_Mer_FF %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_Mer_FF[c(2:4)]),
Basin = "Merced River", Scenario = "Functional Flows")
Livneh_Gen_Mer_FF
Livneh_Gen_Stn_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,4,7,10,13,16,19,22,25,28,31,34)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_Stn_FF<- Livneh_Gen_Stn_FF %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_Stn_FF[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Functional Flows")
Livneh_Gen_Stn_FF
Livneh_Gen_USJ_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,4,7,10,13,16,19,22,25,28,31,34,37,40,43,46,49)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_USJ_FF<- Livneh_Gen_USJ_FF %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_USJ_FF[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Functional Flows")
Livneh_Gen_USJ_FF
Livneh_Gen_Tuo_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,4,7,10,13)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_Tuo_FF<- Livneh_Gen_Tuo_FF %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_Tuo_FF[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Functional Flows")
Livneh_Gen_Tuo_FF
```
```{r}
Livneh_Gen_Mer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2,5,8)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_Mer <- Livneh_Gen_Mer %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_Mer[c(2:4)]),
Basin = "Merced River", Scenario = "Baseline")
Livneh_Gen_Mer
Livneh_Gen_Stn <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2,5,8,11,14,17,20,23,26,29,32)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_Stn<- Livneh_Gen_Stn %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_Stn[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Baseline")
Livneh_Gen_Stn
Livneh_Gen_USJ <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2,5,8,11,14,17,20,23,26,29,32,35,38,41,44,47)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_USJ<- Livneh_Gen_USJ %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_USJ[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Baseline")
Livneh_Gen_USJ
Livneh_Gen_Tuo <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2,5,8,11)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_Tuo<- Livneh_Gen_Tuo %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_Tuo[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Baseline")
Livneh_Gen_Tuo
```
```{r}
Livneh_Gen_SWRCBMer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,3,6,9)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_SWRCBMer <- Livneh_Gen_SWRCBMer %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_SWRCBMer[c(2:4)]),
Basin = "Merced River", Scenario = "40% Full Natural Flow")
Livneh_Gen_SWRCBMer
Livneh_Gen_SWRCBStn <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,3,6,9,12,15,18,21,24,27,30,33)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_SWRCBStn<- Livneh_Gen_SWRCBStn %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_SWRCBStn[c(2:12)]),
Basin = "Stanislaus River", Scenario = "40% Full Natural Flow")
Livneh_Gen_SWRCBStn
Livneh_Gen_SWRCBUSJ <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_SWRCBUSJ<- Livneh_Gen_SWRCBUSJ %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_SWRCBUSJ[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "40% Full Natural Flow")
Livneh_Gen_SWRCBUSJ
Livneh_Gen_SWRCBTuo <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Hydropower_Energy_MWh.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,3,6,9,12)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Gen_SWRCBTuo<- Livneh_Gen_SWRCBTuo %>%
mutate(`Livneh (Historical)` = rowSums(Livneh_Gen_SWRCBTuo[c(2:5)]),
Basin = "Tuolumne River", Scenario = "40% Full Natural Flow")
Livneh_Gen_SWRCBTuo
```
```{r}
library(reshape2)
library(lfstat)
#Can't cbind livneh as it has one day less (Feb 29) in its count
#Deal with Livneh separately
Gen_Mer <- rbind(Livneh_Gen_Mer[-c(2:4)], Livneh_Gen_Mer_FF[-c(2:4)],
Livneh_Gen_Tuo[-c(2:5)], Livneh_Gen_Tuo_FF[-c(2:5)],
Livneh_Gen_Stn[-c(2:12)], Livneh_Gen_Stn_FF[-c(2:12)],
Livneh_Gen_USJ[-c(2:17)], Livneh_Gen_USJ_FF[-c(2:17)],
Livneh_Gen_SWRCBMer[-c(2:4)], Livneh_Gen_SWRCBTuo[-c(2:5)],
Livneh_Gen_SWRCBStn[-c(2:12)], Livneh_Gen_SWRCBUSJ[-c(2:17)])
#Gen_Mer <- Gen_Mer %>%
# mutate(Ensemble = rowMeans(as.matrix((.[-1])))) %>%
# filter(between(node, as.Date("2029-10-01"), as.Date("2060-09-30")))
#Gen_Mer
#Gen_Mer
Gen_Mer1 <- melt(Gen_Mer, id = c("node", "Basin", "Scenario")) #, "Basin", "Year", "Month")) #"Annual_Can", "Annual_CNRM", "Annual_Had", "Annual_MIR")
# Month = as.Date(cut(node, breaks = "month")),
# mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
# Year = as.Date(cut(node, breaks = "year")))
Gen_Mer1$Basin <- factor(Gen_Mer1$Basin, levels = c("Stanislaus River", "Tuolumne River", "Merced River", "Upper San Joaquin River"))
```
```{r}
Gen_Mer2 <- Gen_Mer1 %>%#rbind(Gen_Mer1, Livneh_Mer) %>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
#Year = as.Date(cut(node, breaks = "year")),
Year = water_year(node, origin = "usgs"))%>%
# Scenario = as.factor("RCP 8.5")) %>%
group_by(Year, Month, Basin, Scenario) %>%
dplyr::summarize(MonthlyTotal = sum(value))
Gen_Mer2
#Gen_Mer2$variable <- factor(Gen_Mer2$variable, levels = c("Livneh (Historical)", "ACCESS1-0", "CMCC-CMS", "MIROC5\u2020", "GFDL-CM3", "CCSM4", "HadGEM2-CC", "HadGEM2-ES\u2020","CESM1-BGC", "CanESM2\u2020", "CNRM-CM5\u2020"))
Gen_Mer3 <- Gen_Mer2 %>%
group_by(Year, Scenario, Basin) %>%
dplyr::summarize(AnnualTotal = sum(MonthlyTotal))
Gen_Mer3
Gen_Mer4 <- Gen_Mer3
#df[3:ncol(df)] <- df[3:ncol(df)]-df[,2]
```
```{r}
ggplot(Gen_Mer2) +
theme_bw(base_size=12, base_family='Times New Roman') + #change font to Times New Roman, 12pt, Bold
geom_boxplot(aes( x = Month, y = MonthlyTotal/1000, fill = Scenario), outlier.alpha = 0.3) + #plot monthly observed data in greenish blue
#geom_line(aes(x = node, y = value)) +
scale_y_continuous(limits = c(0, NA),
expand = c(0, NA))+
# scale_y_log10(labels=comma) +
scale_x_discrete(limits=c("Oct","Nov","Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))+
scale_fill_manual(values = c(#"#5A5A5A", "#A50026", "#D73027", "#F46D43", "chocolate1", "gold1", "cadetblue2", "deepskyblue2",
"#5A5A5A", "#FBB117", "#009E73" )) +
labs(fill = "Historical (Livneh)",
title = element_blank(),
#subtitle = "Merced River",
x = element_blank(),
y = "Total Electricity Generation (GWh/month)") + #name of x axis
theme(legend.position = "bottom",
legend.direction = "horizontal",
legend.box.margin = margin(t = -17),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
facet_wrap(~Basin, ncol=1, scales = "free_y", strip.position = "left") +
png("Allbasins_RCP85_2009prices_FlowScenarios_log2_egu.png", units ="in", width=6, height=10, res = 300)
# ungroup() %>%
#group_by(Basin, Scenario, Year) %>%
#summarise(AnnualCount = sum(Count)) %>%
#ungroup()
```
```{r}
library(scales)
#Merced annual generation
#Gen_Mer2 %>%
# filter(variable == "CanESM2") %>%
Gen_Mer2$Scenario <- factor(Gen_Mer2$Scenario, levels = c("Baseline", "40% Full Natural Flow", "Functional Flows"))
ggplot(Gen_Mer2)+#%>% filter(Basin == "Merced River")) +
theme_bw(base_size=12, base_family='Times New Roman') + #change font to Times New Roman, 12pt, Bold
geom_boxplot(aes( x = Month, y = MonthlyTotal/1000, fill = Scenario), outlier.alpha = 0.3) + #plot monthly observed data in greenish blue
#geom_line(aes(x = node, y = value)) +
scale_y_continuous(limits = c(0, NA),
expand = c(0, NA))+
# scale_y_log10(labels=comma) +
scale_x_discrete(limits=c("Oct","Nov","Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))+
scale_fill_manual(values = c(#"#5A5A5A", "#A50026", "#D73027", "#F46D43", "chocolate1", "gold1", "cadetblue2", "deepskyblue2",
"#5A5A5A", "#FBB117", "#009E73" )) +
labs(fill = "Historical (Livneh)",
title = element_blank(),
#subtitle = "Merced River",
x = element_blank(),
y = "Total Electricity Generation (GWh/month)") + #name of x axis
theme(legend.position = "bottom",
legend.direction = "horizontal",
legend.box.margin = margin(t = -17),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
facet_wrap(~Basin, ncol=1, scales = "free_y", strip.position = "left") +
png("Allbasins_RCP85_2009prices_FlowScenarios_log2_egu.png", units ="in", width=6, height=10, res = 300)
```
#annual aggreagate
#Gen_Mer3 %>%
# filter(variable == "Livneh (Historical)" | variable == "ACCESS1-0" | variable == "CNRM-CM5") %>%
ggplot(Gen_Mer3) +
theme_bw(base_size=12, base_family='Times New Roman') + #change font to Times New Roman, 12pt, Bold
geom_violin(draw_quantiles = c(.25, .5, .75), aes( x = variable, y = AnnualTotal/1000, fill = variable)) + #plot monthly observed data in greenish blue
#geom_line(aes(x = node, y = value)) +
scale_y_continuous(limits = c(0, NA),
expand = c(0, NA),
labels = comma,
breaks= c(0,200,400, 600, 800)) +
# scale_x_discrete(limits=c(c("Livneh (Historical)", "ACCESS1-0",# "CMCC-CMS", "MIROC5", "GFDL-CM3", "CCSM4", "HadGEM2-ES", "HadGEM2-CC", "CanESM2", "CESM1-BGC",
# "CNRM-CM5")))+
scale_fill_manual(values = c("#5A5A5A", "#A50026", "#D73027", "#F46D43", "chocolate1", "gold1", "cadetblue2", "deepskyblue2", "dodgerblue2", "#4575B4", "#313695" )) +
labs(fill = "RCP 8.5", title = "Merced River",
subtitle = "No Instreamflow Requirement (2009 prices)",
x = element_blank(),
y = "Total Electricity Generation (GWh/year)") + #name of x axis
theme(legend.position = "none",
#legend.direction = "horizontal",
#legend.box.margin = margin(t = -19),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
png("Mer_annual_generation_RCP85_NoIFRs_2009prices_Report.png", units ="in", width=11.5, height=4.5, res = 300)
```{r}
Gen_Mer2$Month <- factor(Gen_Mer2$Month, levels = c("Oct", "Nov", "Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))
All_Montlhy_Stats_Gen <- aggregate(MonthlyTotal ~ Month+Scenario+Basin, Gen_Mer2, summary)
write.csv(All_Montlhy_Stats_Gen, "All_Monthly_Stats_Generation_Baseline_RCP85_Report_March.csv")
All_Annual_Stats_Gen <- aggregate(AnnualTotal ~ Scenario+Basin, Gen_Mer3, summary)
write.csv(All_Annual_Stats_Gen, "All_Annual_Stats_Generation_Baseline_RCP85_Report_March.csv")
```
```{r}
#FF
Livneh_Outflow_Mer_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c( 1,11)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_Mer_FF <- Livneh_Outflow_Mer_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_Mer_FF[c(2:4)]),
Basin = "Merced River", Scenario = "Functional Flows") %>%
rename(Outflow = 2)
Livneh_Outflow_Mer_FF
Livneh_Outflow_Stn_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,3)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_Stn_FF<- Livneh_Outflow_Stn_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_Stn_FF[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Functional Flows") %>%
rename(Outflow = 2)
Livneh_Outflow_Stn_FF
Livneh_Outflow_USJ_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,3)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_USJ_FF<- Livneh_Outflow_USJ_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_USJ_FF[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Functional Flows") %>%
rename(Outflow = 2)
Livneh_Outflow_USJ_FF
Livneh_Outflow_Tuo_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,7)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_Tuo_FF<- Livneh_Outflow_Tuo_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_Tuo_FF[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Functional Flows") %>%
rename(Outflow = 2)
Livneh_Outflow_Tuo_FF
```
```{r}
Livneh_Outflow_Mer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,10)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_Mer <- Livneh_Outflow_Mer %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_Mer[c(2:4)]),
Basin = "Merced River", Scenario = "Baseline") %>%
rename(Outflow = 2)
Livneh_Outflow_Mer
Livneh_Outflow_Stn <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_Stn<- Livneh_Outflow_Stn %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_Stn[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Baseline") %>%
rename(Outflow = 2)
Livneh_Outflow_Stn
Livneh_Outflow_USJ <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_USJ<- Livneh_Outflow_USJ %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_USJ[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Baseline") %>%
rename(Outflow = 2)
Livneh_Outflow_USJ
Livneh_Outflow_Tuo <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,6)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_Tuo<- Livneh_Outflow_Tuo %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_Tuo[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Baseline") %>%
rename(Outflow = 2)
Livneh_Outflow_Tuo
```
```{r}
Livneh_Outflow_SWRCBMer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/SWRCB40 - 2021-03-17/merced/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,7)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_SWRCBMer <- Livneh_Outflow_SWRCBMer %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_SWRCBMer[c(2:4)]),
Basin = "Merced River", Scenario = "40% Full Natural Flow") %>%
rename(Outflow = 2)
Livneh_Outflow_SWRCBMer
Livneh_Outflow_SWRCBStn <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,3)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_SWRCBStn<- Livneh_Outflow_SWRCBStn %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_SWRCBStn[c(2:12)]),
Basin = "Stanislaus River", Scenario = "40% Full Natural Flow") %>%
rename(Outflow = 2)
Livneh_Outflow_SWRCBStn
Livneh_Outflow_SWRCBUSJ <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,3)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_SWRCBUSJ<- Livneh_Outflow_SWRCBUSJ %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_SWRCBUSJ[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "40% Full Natural Flow") %>%
rename(Outflow = 2)
Livneh_Outflow_SWRCBUSJ
Livneh_Outflow_SWRCBTuo <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/SWRCB40 - 2021-03-17/tuolumne/historical/Livneh/Output_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,5)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Outflow_SWRCBTuo<- Livneh_Outflow_SWRCBTuo %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Outflow_SWRCBTuo[c(2:5)]),
Basin = "Tuolumne River", Scenario = "40% Full Natural Flow") %>%
rename(Outflow = 2)
Livneh_Outflow_SWRCBTuo
```
```{r}
library(reshape2)
library(lfstat)
#Can't cbind livneh as it has one day less (Feb 29) in its count
#Deal with Livneh separately
Outflow_Mer <- rbind(Livneh_Outflow_Mer, Livneh_Outflow_Mer_FF,
Livneh_Outflow_Tuo, Livneh_Outflow_Tuo_FF,
Livneh_Outflow_Stn, Livneh_Outflow_Stn_FF,
Livneh_Outflow_USJ, Livneh_Outflow_USJ_FF,
Livneh_Outflow_SWRCBMer, Livneh_Outflow_SWRCBTuo,
Livneh_Outflow_SWRCBStn, Livneh_Outflow_SWRCBUSJ)
#Outflow_Mer <- Outflow_Mer %>%
# mutate(Ensemble = rowMeans(as.matrix((.[-1])))) %>%
# filter(between(node, as.Date("2029-10-01"), as.Date("2060-09-30")))
#Outflow_Mer
#Outflow_Mer
Outflow_Mer1 <- melt(Outflow_Mer, id = c("node", "Basin", "Scenario")) #, "Basin", "Year", "Month")) #"Annual_Can", "Annual_CNRM", "Annual_Had", "Annual_MIR")
# Month = as.Date(cut(node, breaks = "month")),
# mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
# Year = as.Date(cut(node, breaks = "year")))
Outflow_Mer1
```
```{r}
ff <- Outflow_Mer1 %>%
mutate(Year = water_year(node, origin = "usgs"),
Scenario = as.factor(Scenario)) %>%
filter(Year == "1964" | Year == "1965")
ff
```
```{r}
ggplot(Outflow_Mer2, aes(x= Month, y = MonthlyTotal)) + geom_area()+#aes(fill=Scenario)) +
theme_bw(base_size=12, base_family='Times New Roman') +
scale_color_manual(values = c( "#5A5A5A", "#FBB117", "#009E73" )) +
scale_y_continuous(limits = c(0, NA),
expand = c(0, NA))+
# scale_x_date(#limits = c(0, NA),
# expand = c(0, 0))+
labs(#fill = "Historical (Livneh)",
title = element_blank(),
#subtitle = "Merced River",
x = element_blank(),
y = "Total Outflow (mcm/month)") + #name of x axis
theme(legend.position = "bottom",
legend.direction = "horizontal",
legend.box.margin = margin(t = -17),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
facet_wrap(~Year, ncol =1, scales = "free", strip.position = "left")+
png("IFR_ShafferBidge_Merced_Baseline_2009prices_FlowScenarios_Outflow_awra.png", units ="in", width=7, height=6, res = 300)
```
```{r}
library(extrafont)
ff <- rbind(Livneh_Outflow_SWRCBMer,Livneh_Outflow_Mer, Livneh_Outflow_Mer_FF) %>%
mutate(Year = water_year(node, origin = "usgs"),
Scenario = as.factor(Scenario)) %>%
filter(Year == "1964" | Year == "1965")
ff$Scenario <- factor(ff$Scenario, levels = c("Baseline", "40% Full Natural Flow", "Functional Flows"))
ggplot(ff) + geom_line(aes(x= node, y = Outflow, color = Scenario), alpha = 0.6, lwd=1.2)+
theme_bw(base_size=10, base_family='Times New Roman') +
facet_wrap(~Year, ncol =1, scales = "free", strip.position = "left") +
scale_x_date()+#limits = c(as.Date("1963-10-01"), as.Date("1964-09-30")))+#limits = c(0, NA),
# scale_y_continuous() +
scale_color_manual(values = c("#5A5A5A", "#FBB117", "#009E73")) +
scale_y_continuous(limits = c(0, NA), expand = c(0, NA)) +
labs(fill = "Historical (Livneh)",
title = "IFR at Shaffer Bridge",
#subtitle = "Merced River",
x = element_blank(),
y = "Outflow (mcm/day)") +
#name of x axis
theme(legend.position = "bottom",
legend.direction = "horizontal",
legend.box.margin = margin(t = -15),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
facet_wrap(~Year, ncol=1, scales = "free", strip.position = "left") +
png("IFRShafferBridge_Baseline_FlowScenarios_awra.png", units ="in", width=7, height=6, res = 300)
#ggplot(ff, aes(x= node, y = value)) + geom_area(aes(fill=Scenario))
```
```{r}
ff3 <- rbind(Livneh_Outflow_SWRCBMer,Livneh_Outflow_Mer, Livneh_Outflow_Mer_FF) %>%
mutate(Year = water_year(node, origin = "usgs"),
Scenario = as.factor(Scenario))
ggplot(ff3)+#%>% filter(Basin == "Merced River")) +
theme_bw(base_size=12, base_family='Times New Roman') + #change font to Times New Roman, 12pt, Bold
geom_boxplot(aes( x = Month, y = MonthlyTotal/1000, fill = Scenario), outlier.alpha = 0.3) + #plot monthly observed data in greenish blue
#geom_line(aes(x = node, y = value)) +
scale_y_continuous(limits = c(0, NA),
expand = c(0, NA))+
# scale_y_log10(labels=comma) +
scale_x_discrete(limits=c("Oct","Nov","Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))+
scale_fill_manual(values = c(#"#5A5A5A", "#A50026", "#D73027", "#F46D43", "chocolate1", "gold1", "cadetblue2", "deepskyblue2",
"#5A5A5A", "#FBB117", "#009E73" )) +
labs(fill = "Historical (Livneh)",
title = element_blank(),
#subtitle = "Merced River",
x = element_blank(),
y = "Total Electricity Generation (GWh/month)") + #name of x axis
theme(legend.position = "bottom",
legend.direction = "horizontal",
legend.box.margin = margin(t = -17),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
facet_wrap(~Basin, ncol=1, scales = "free_y", strip.position = "left") +
png("Allbasins_RCP85_2009prices_FlowScenarios_log2_Rawra.png", units ="in", width=6, height=10, res = 300)
```
```{r}
Outflow_Mer2 <- Outflow_Mer1 %>%#rbind(Outflow_Mer1, Livneh_Mer) %>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
#Year = as.Date(cut(node, breaks = "year")),
Year = water_year(node, origin = "usgs"))%>%
# Scenario = as.factor("RCP 8.5")) %>%
group_by(Year, Month, Basin, Scenario) %>%
dplyr::summarize(MonthlyTotal = sum(value))
Outflow_Mer2
#Outflow_Mer2$variable <- factor(Outflow_Mer2$variable, levels = c("Livneh (Historical)", "ACCESS1-0", "CMCC-CMS", "MIROC5\u2020", "GFDL-CM3", "CCSM4", "HadGEM2-CC", "HadGEM2-ES\u2020","CESM1-BGC", "CanESM2\u2020", "CNRM-CM5\u2020"))
Outflow_Mer3 <- Outflow_Mer2 %>%
group_by(Basin, Scenario,Year) %>%
dplyr::summarize(AnnualTotal = sum(MonthlyTotal))
Outflow_Mer3
Outflow_Mer4 <- Outflow_Mer3
#df[3:ncol(df)] <- df[3:ncol(df)]-df[,2]
write.csv(Outflow_Mer3, "Total_Outflow_per_WY_Flowscenarios_Report_March.csv")
```
```{r}
Outflow_Mer2$Month <- factor(Outflow_Mer2$Month, levels = c("Oct", "Nov", "Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))
All_Montlhy_Stats_Gen <- aggregate(MonthlyTotal ~ Month+Scenario+Basin, Outflow_Mer2, summary)
write.csv(All_Montlhy_Stats_Gen, "All_Monthly_Stats_Outflow_Generation_Baseline_Report_March.csv")
All_Annual_Stats_Gen <- aggregate(AnnualTotal ~ Scenario+Basin, Outflow_Mer3, summary)
write.csv(All_Annual_Stats_Gen, "All_Annual_Stats_Outflow_Baseline_Report_March.csv")
```
```{r}
library(scales)
#Merced annual generation
#Outflow_Mer2 %>%
# filter(variable == "CanESM2") %>%
Outflow_Mer2$Scenario <- factor(Outflow_Mer2$Scenario, levels = c("Baseline", "40% Full Natural Flow", "Functional Flows"))
Outflow_Mer2$Basin <- factor(Outflow_Mer2$Basin, levels = c("Stanislaus River", "Tuolumne River", "Merced River", "Upper San Joaquin River"))
ggplot(Outflow_Mer2) +
theme_bw(base_size=12, base_family='Times New Roman') + #change font to Times New Roman, 12pt, Bold
geom_boxplot(aes( x = Month, y = MonthlyTotal, fill = Scenario), outlier.alpha = 0.3) + #plot monthly observed data in greenish blue
#geom_line(aes(x = node, y = value)) +
#scale_y_continuous(limits = c(0, NA),
# expand = c(0, NA),
scale_y_log10(
labels=comma) +
scale_x_discrete(limits=c("Oct","Nov","Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))+
scale_fill_manual(values = c(#"#5A5A5A", "#A50026", "#D73027", "#F46D43", "chocolate1", "gold1", "cadetblue2", "deepskyblue2",
"#5A5A5A", "#FBB117", "#009E73" )) +
labs(fill = "Historical (Livneh)",
title = element_blank(),
#subtitle = "Merced River",
x = element_blank(),
y = "Total Outflow (mcm/month)") + #name of x axis
theme(legend.position = "bottom",
legend.direction = "horizontal",
legend.box.margin = margin(t = -17),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
strip.placement = "outside",
strip.background = element_blank(),
panel.spacing.y = unit(0, "lines"))+
facet_wrap(~Basin, ncol=1, scales = "fixed", strip.position = "left") +
png("Allbasins_RCP85_2009prices_FlowScenarios_Outflow_Report_March.png", units ="in", width=6, height=9, res = 300)
```
Gen_Stn <- cbind(CanES_Gen_Stn[-c(2:12)], CNRM_Gen_Stn[-c(1:12)],
HadGEM_Gen_Stn[-c(1:12)], MIROC_Gen_Stn[-c(1:12)],
CMCC_Gen_Stn[-c(1:12)], ACCESS1_Gen_Stn[-c(1:12)],
HadGEMCC_Gen_Stn[-c(1:12)], CESM_Gen_Stn[-c(1:12)],
CCSM4_Gen_Stn[-c(1:12)], GFDL_Gen_Stn[-c(1:12)])
Gen_Stn
#Gen_Stn <- Gen_Stn %>%
# mutate(Ensemble = rowMeans(as.matrix((.[-1])))) %>%
# filter(between(node, as.Date("2029-10-01"), as.Date("2060-09-30")))
#Gen_Stn
Gen_Stn2 <- melt(Gen_Stn, id = "node")
Gen_Stn2
Gen_Stn2 <- rbind(Gen_Stn2, Livneh_Stn_Gen) %>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
Scenario = as.factor("RCP 8.5")) %>%
group_by(Year, Month, variable) %>%
dplyr::summarize(MonthlyTotal = sum(value))
Gen_Stn2$variable <- factor(Gen_Stn2$variable, levels = c("Livneh (Historical)", "ACCESS1-0", "CMCC-CMS", "MIROC5\u2020", "GFDL-CM3", "CCSM4", "HadGEM2-CC", "HadGEM2-ES\u2020","CESM1-BGC", "CanESM2\u2020", "CNRM-CM5\u2020"))
Gen_Stn3 <- Gen_Stn2 %>%
group_by(Year, variable) %>%
dplyr::summarize(AnnualTotal = sum(MonthlyTotal))
Gen_Stn2
```{r}
#FF
Livneh_Stor_Mer_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c( 1,7)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_Mer_FF <- Livneh_Stor_Mer_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_Mer_FF[c(2:4)]),
Basin = "Merced River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh_Stor_Mer_FF
Livneh_Stor_Stn_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,23)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_Stn_FF<- Livneh_Stor_Stn_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_Stn_FF[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh_Stor_Stn_FF
Livneh_Stor_USJ_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,7)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_USJ_FF<- Livneh_Stor_USJ_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_USJ_FF[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh_Stor_USJ_FF
Livneh_Stor_Tuo_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,11)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_Tuo_FF<- Livneh_Stor_Tuo_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_Tuo_FF[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh_Stor_Tuo_FF
```
```{r}
Livneh_Stor_Mer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,6)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_Mer <- Livneh_Stor_Mer %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_Mer[c(2:4)]),
Basin = "Merced River", Scenario = "Baseline") %>%
rename(Reservoir = 2)
Livneh_Stor_Mer
Livneh_Stor_Stn <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,22)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_Stn<- Livneh_Stor_Stn %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_Stn[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Baseline") %>%
rename(Reservoir = 2)
Livneh_Stor_Stn
Livneh_Stor_USJ <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,6)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_USJ<- Livneh_Stor_USJ %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_USJ[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Baseline") %>%
rename(Reservoir = 2)
Livneh_Stor_USJ
Livneh_Stor_Tuo <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/tuolumne/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,10)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_Tuo<- Livneh_Stor_Tuo %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_Tuo[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Baseline") %>%
rename(Reservoir = 2)
Livneh_Stor_Tuo
```
```{r}
Livneh_Stor_SWRCBMer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/SWRCB40 - 2021-03-17/merced/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,5)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_SWRCBMer <- Livneh_Stor_SWRCBMer %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_SWRCBMer[c(2:4)]),
Basin = "Merced River", Scenario = "40% Full Natural Flow") %>%
rename(Reservoir = 2)
Livneh_Stor_SWRCBMer
Livneh_Stor_SWRCBStn <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,13)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_SWRCBStn<- Livneh_Stor_SWRCBStn %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_SWRCBStn[c(2:12)]),
Basin = "Stanislaus River", Scenario = "40% Full Natural Flow") %>%
rename(Reservoir = 2)
Livneh_Stor_SWRCBStn
Livneh_Stor_SWRCBUSJ <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/upper_san_joaquin/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,7)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_SWRCBUSJ<- Livneh_Stor_SWRCBUSJ %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_SWRCBUSJ[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "40% Full Natural Flow") %>%
rename(Reservoir = 2)
Livneh_Stor_SWRCBUSJ
Livneh_Stor_SWRCBTuo <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/SWRCB40 - 2021-03-17/tuolumne/historical/Livneh/Reservoir_Storage_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:2), c(1,7)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh_Stor_SWRCBTuo<- Livneh_Stor_SWRCBTuo %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh_Stor_SWRCBTuo[c(2:5)]),
Basin = "Tuolumne River", Scenario = "40% Full Natural Flow") %>%
rename(Reservoir = 2)
Livneh_Stor_SWRCBTuo
```
```{r}
Spill_Mer <- rbind(Livneh_Stor_Mer,Livneh_Stor_SWRCBMer,Livneh_Stor_Mer_FF)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
#Scenario = as.factor("RCP 4.5"),
#DeadPool = as.numeric(142),
#OperatingCapacity = (Reservoir - DeadPool),
Count = ifelse(Reservoir >= 1238.6, 1,0),
variable = as.factor("Lake McClure"))
Spill_Mer
Spill_Stn <- rbind(Livneh_Stor_Stn, Livneh_Stor_Stn_FF,Livneh_Stor_SWRCBStn)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
# Scenario = as.factor("RCP 4.5"),
# DeadPool = as.numeric(98.6785),
# OperatingCapacity = (as.numeric(Reservoir) - DeadPool),
Count = ifelse(Reservoir >= 2985, 1,0),
variable = as.factor("New Melones Reservoir"))
Spill_Stn
Spill_Tuo <- rbind(Livneh_Stor_Tuo, Livneh_Stor_Tuo_FF, Livneh_Stor_SWRCBTuo)%>%
# rename(GCM=variable)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
# Scenario = as.factor("RCP 4.5"),
# DeadPool = as.numeric(381.0965),
# OperatingCapacity = (as.numeric(Reservoir) - DeadPool),
Count = ifelse(Reservoir >= 2504, 1,0),
variable = as.factor("Don Pedro Reservoir"))
Spill_Tuo
Spill_USJ <- rbind(Livneh_Stor_USJ,Livneh_Stor_USJ_FF, Livneh_Stor_SWRCBUSJ)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
#Scenario = as.factor("RCP 4.5"),
# DeadPool = as.numeric(165.3532),
#OperatingCapacity = (Reservoir - DeadPool),
Count = ifelse(Reservoir >= 641.42, 1,0),
variable = as.factor("Millerton Lake"))
Spill_USJ
All_Spill1 <- rbind(Spill_Mer, Spill_USJ, Spill_Tuo, Spill_Stn)
All_Spill1$Month <- factor(All_Spill1$Month, levels = c("Oct","Nov","Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))
All_Spill <- All_Spill1 %>%
group_by(Basin, Scenario, Year, Month) %>%
summarise(MonthlyCount = sum(Count),
Monhtlymean = mean(Count))# %>%
# ungroup() %>%
#group_by(Basin, Scenario, Year) %>%
#summarise(AnnualCount = sum(Count)) %>%
#ungroup()
All_Spill
All_Spill_annual <- All_Spill1 %>%
group_by(Basin, Scenario, Year) %>%
summarise(AnnualCount = sum(Count),
Annualmean = mean(Count))# %>%
#Outflow_Mer1 <- melt(Outflow_Mer, id = c("node", "Basin", "Scenario"))
write.csv(All_Spill_annual, "Annual_Spill_per_Basin_per_scenario_Report_March.csv")
write.csv(All_Spill, "Monthly_Spill_per_Basin_per_scenario_Report_March.csv")
```
```{r}
Storage_Mer <- rbind(Livneh_Stor_Mer,Livneh_Stor_SWRCBMer,Livneh_Stor_Mer_FF)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
#Scenario = as.factor("RCP 4.5"),
#DeadPool = as.numeric(142),
#OperatingCapacity = (Reservoir - DeadPool),
MonthDay = format(node, "%m/%d"),
variable = as.factor("Lake McClure"),
Count = ifelse(Reservoir < 412.8667 & MonthDay == "10/01", 1,0))
Storage_Mer
Storage_Stn <- rbind(Livneh_Stor_Stn, Livneh_Stor_Stn_FF,Livneh_Stor_SWRCBStn)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
# Scenario = as.factor("RCP 4.5"),
# DeadPool = as.numeric(98.6785),
# OperatingCapacity = (as.numeric(Reservoir) - DeadPool),
# Count = ifelse(Reservoir >= 2985, 1,0),
MonthDay = format(node, "%m/%d"),
Count = ifelse(Reservoir < 995 & MonthDay == "10/01", 1,0),
variable = as.factor("New Melones Reservoir"))
Storage_Stn
Storage_Tuo <- rbind(Livneh_Stor_Tuo, Livneh_Stor_Tuo_FF, Livneh_Stor_SWRCBTuo)%>%
# rename(GCM=variable)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
# Scenario = as.factor("RCP 4.5"),
# DeadPool = as.numeric(381.0965),
# OperatingCapacity = (as.numeric(Reservoir) - DeadPool),
MonthDay = format(node, "%m/%d"),
Count = ifelse(Reservoir < 834.6667 & MonthDay == "10/01", 1,0),
variable = as.factor("Don Pedro Reservoir"))
Storage_Tuo
Storage_USJ <- rbind(Livneh_Stor_USJ,Livneh_Stor_USJ_FF, Livneh_Stor_SWRCBUSJ)%>%
mutate(Month = as.factor(format(as.Date(node, format = "%B"), "%b")),
Year = water_year(node, origin = "usgs"),
#Scenario = as.factor("RCP 4.5"),
# DeadPool = as.numeric(165.3532),
# OperatingCapacity = (Reservoir - DeadPool),
MonthDay = format(node, "%m/%d"),
Count = ifelse(Reservoir < 213.8067 & MonthDay == "10/01", 1,0),
variable = as.factor("Millerton Lake"))
Storage_USJ
All_Spill1 <- rbind(Storage_Mer, Storage_USJ, Storage_Tuo, Storage_Stn)
All_Spill1$Month <- factor(All_Spill1$Month, levels = c("Oct","Nov","Dec", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"))
All_Spill <- All_Spill1 %>%
group_by(Basin, Scenario, Year, Month) %>%
summarise(MonthlyCount = sum(Count),
Monhtlymean = mean(Count))# %>%
# ungroup() %>%
#group_by(Basin, Scenario, Year) %>%
#summarise(AnnualCount = sum(Count)) %>%
#ungroup()
All_Spill
All_Storage_annual <- All_Spill1 %>%
group_by(Basin, Scenario, Year) %>%
summarise(AnnualCount = sum(Count),
Annualmean = mean(Count))# %>%
#Outflow_Mer1 <- melt(Outflow_Mer, id = c("node", "Basin", "Scenario"))
write.csv(All_Storage_annual, "Annual_Storag_Below30%Oct1_per_Basin_per_scenario_Report_March.csv")
write.csv(All_Spill, "Monthly_Storage_Below30%Oct1_per_Basin_per_scenario_Report_March.csv")
```
```{r}
#FF
Livneh__SpillMer_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/InstreamFlowRequirement_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c( 1,3)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh__SpillMer_FF <- Livneh__SpillMer_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh__SpillMer_FF[c(2:4)]),
Basin = "Merced River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh__SpillMer_FF
Livneh__SpillStn_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/stanislaus/historical/Livneh/InstreamFlowRequirement_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,35)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh__SpillStn_FF<- Livneh__SpillStn_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh__SpillStn_FF[c(2:12)]),
Basin = "Stanislaus River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh__SpillStn_FF
Livneh__SpillUSJ_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/Functional Flows Historical - 2021-03-29/upper_san_joaquin/historical/Livneh/InstreamFlowRequirement_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,32)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh__SpillUSJ_FF<- Livneh__SpillUSJ_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh__SpillUSJ_FF[c(2:17)]),
Basin = "Upper San Joaquin River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh__SpillUSJ_FF
Livneh__SpillTuo_FF <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/Functional Flows Historical - 2021-03-28/tuolumne/historical/Livneh/InstreamFlowRequirement_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,16)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh__SpillTuo_FF<- Livneh__SpillTuo_FF %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh__SpillTuo_FF[c(2:5)]),
Basin = "Tuolumne River", Scenario = "Functional Flows") %>%
rename(Reservoir = 2)
Livneh__SpillTuo_FF
```
```{r}
Livneh__SpillMer <- read_csv("C:/Users/gusta/Box/VICE Lab/RESEARCH/PROJECTS/CERC-WET/Task7_San_Joaquin_Model/pywr_models/results/All IFR scenarios - whole basin - 2022-12-05/merced/historical/Livneh/InstreamFlowRequirement_Flow_mcm.csv", col_types = cols(node = col_date(), .default = col_double()))[-c(1:3), c(1,2)] %>%
filter(between(node, as.Date("1950-10-01"), as.Date("2011-09-30")))
Livneh__SpillMer <- Livneh__SpillMer %>%
mutate(#`Livneh (Historical)` = rowSums(Livneh__SpillMer[c(2:4)]),
Basin = "Merced River", Scenario = "Baseline") %>%