diff --git a/data-raw/explore-flow.Rmd b/data-raw/explore-flow.Rmd new file mode 100644 index 0000000..037f763 --- /dev/null +++ b/data-raw/explore-flow.Rmd @@ -0,0 +1,69 @@ +--- +title: "Explore Flow" +author: "Erin Cain" +date: "8/6/2021" +output: + html_document: + toc_depth: 2 + theme: flatly + code_folding: hide +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE, + fig.width=15, fig.height=8) +library(tidyverse) +library(ggplot2) +library(lubridate) +``` + +## Watershed Flow (cfs) + +```{r} +flow <- DSMflow::flows_cfs %>% + gather( watershed, cfs, -date) %>% + filter(!(watershed %in% c('Sutter Bypass', 'Yolo Bypass'))) + +for (w in DSMflow::watershed_ordering %>% pull(watershed)){ + watershed <- flow %>% + filter(watershed == w) %>% + summarise(watershed = w, + mean_flow = mean(cfs), + min_flow = min(cfs), + max_flow = max(cfs)) + + plot <- flow %>% + filter(watershed == w) %>% + ggplot(aes(date, cfs)) + + geom_line(color = 'blue') + + labs(title = w) + print(plot) + print(watershed) +} +``` + +## Proportion Diverted / Total Diverted +```{r} +total_diverted <- DSMflow::total_diverted +proportion_diverted <- DSMflow::proportion_diverted + +diversions <- expand_grid( + watershed = factor(DSMscenario::watershed_labels, + levels = DSMscenario::watershed_labels), + month = 1:12, + year = 1980:2000) %>% + arrange(year, month, watershed) %>% + mutate(total_diverted = as.vector(total_diverted), + proportion_diverted = as.vector(proportion_diverted)) + +diversions %>% + transmute(watershed, date = ymd(paste(year, month, 1)), total_diverted, proportion_diverted) %>% + filter(!(watershed %in% c('Sutter Bypass', 'Yolo Bypass'))) %>% + gather(version, cfs, -watershed, -date) %>% + ggplot(aes(date, cfs, color = version)) + + geom_line() + + facet_wrap(~watershed, scales = 'free') + + +``` + diff --git a/data-raw/explore-flow.html b/data-raw/explore-flow.html new file mode 100644 index 0000000..0fcb47c --- /dev/null +++ b/data-raw/explore-flow.html @@ -0,0 +1,445 @@ + + + + +
+ + + + + + + + + +flow <- DSMflow::flows_cfs %>%
+ gather( watershed, cfs, -date) %>%
+ filter(!(watershed %in% c('Sutter Bypass', 'Yolo Bypass')))
+
+for (w in DSMflow::watershed_ordering %>% pull(watershed)){
+ watershed <- flow %>%
+ filter(watershed == w) %>%
+ summarise(watershed = w,
+ mean_flow = mean(cfs),
+ min_flow = min(cfs),
+ max_flow = max(cfs))
+
+ plot <- flow %>%
+ filter(watershed == w) %>%
+ ggplot(aes(date, cfs)) +
+ geom_line(color = 'blue') +
+ labs(title = w)
+ print(plot)
+ print(watershed)
+}
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Upper Sacramento River 8510. 2923 58991
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Antelope Creek 143. 15.1 1343.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Battle Creek 473. 115. 3146.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Bear Creek 65.1 0 1047.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Big Chico Creek 138. 10.2 1699.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Butte Creek 292. 0 3049.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Clear Creek 179. 50 2309.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Cottonwood Creek 857. 25 14781
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Cow Creek 642. 0.6 6302.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Deer Creek 358. 56.4 3023.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Elder Creek 96.4 0 1695
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Mill Creek 303. 58.6 2071.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Paynes Creek 65.1 0 1047.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Stony Creek 342. 0 10065
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Thomes Creek 298. 0 3597.
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Upper-mid Sacramento River 12019. 3413 108026
+## Warning in min(cfs): no non-missing arguments to min; returning Inf
+## Warning in max(cfs): no non-missing arguments to max; returning -Inf
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Sutter Bypass NaN Inf -Inf
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Bear River 492. 8.3 5426.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Feather River 4157. 750 45760
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Yuba River 2030. 0 24928
+## Warning in min(cfs): no non-missing arguments to min; returning Inf
+
+## Warning in min(cfs): no non-missing arguments to max; returning -Inf
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Lower-mid Sacramento River NaN Inf -Inf
+## Warning in min(cfs): no non-missing arguments to min; returning Inf
+
+## Warning in min(cfs): no non-missing arguments to max; returning -Inf
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Yolo Bypass NaN Inf -Inf
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 American River 3248. 250 38199
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Lower Sacramento River 20472. 4339 80685
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Calaveras River 200. 0 3865.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Cosumnes River 510. 0 7536.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Mokelumne River 675. 126 5695
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Merced River 637. 15 12085
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Stanislaus River 609. 150 7855.
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 Tuolumne River 902. 50 20982
+
+## # A tibble: 1 x 4
+## watershed mean_flow min_flow max_flow
+## <chr> <dbl> <dbl> <dbl>
+## 1 San Joaquin River 3060. 137 59524
+total_diverted <- DSMflow::total_diverted
+proportion_diverted <- DSMflow::proportion_diverted
+
+diversions <- expand_grid(
+ watershed = factor(DSMscenario::watershed_labels,
+ levels = DSMscenario::watershed_labels),
+ month = 1:12,
+ year = 1980:2000) %>%
+ arrange(year, month, watershed) %>%
+ mutate(total_diverted = as.vector(total_diverted),
+ proportion_diverted = as.vector(proportion_diverted))
+
+diversions %>%
+ transmute(watershed, date = ymd(paste(year, month, 1)), total_diverted, proportion_diverted) %>%
+ filter(!(watershed %in% c('Sutter Bypass', 'Yolo Bypass'))) %>%
+ gather(version, cfs, -watershed, -date) %>%
+ ggplot(aes(date, cfs, color = version)) +
+ geom_line() +
+ facet_wrap(~watershed, scales = 'free')
+
+