The avatar for @justingosses
Justin Gosses
JavaScript | Python | Data Visualization | Web Development | Geology | Space | Analytics | IoT | Learn, Build Stuff, and Figure Things Out
Public
water related
Edited
Oct 27, 2022
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data_daily_avg_bryan = d3.json('https://waterservices.usgs.gov/nwis/dv/?format=json&sites=08108700&startDT='+date_for_filter_start+'&endDT='+date_today_YYYYMMDD_string+'&siteStatus=all')
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gage_height_daily_array_bryan = getGageHeightFromDailyAverageResults(data_daily_avg_bryan,"Gage height, ft")
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gage_height_daily_array_bryan
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data_daily_avg_hempstead = d3.json('https://waterservices.usgs.gov/nwis/dv/?format=json&sites=08111500&startDT='+date_for_filter_start+'&endDT='+date_today_YYYYMMDD_string+'&siteStatus=all')
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gage_height_daily_array_hempstead = getGageHeightFromDailyAverageResults(data_daily_avg_hempstead,"Gage height, ft")
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average_streamflow_washington = data_daily_avg_washington.value.timeSeries[0].values[0].value
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function applyAaronSmithsEquationToEachDayInArray(bryanAvgHt,hempsteadAvgHt){
var hidalgoArray = []
for (let i = 0; i < bryanAvgHt.length; i++) {
var b = parseFloat(bryanAvgHt[i].value)
var h = parseFloat(hempsteadAvgHt[i].value)
var hidalgoOneDayValue = 0.55 * (h - b) + b
bryanAvgHt[i].value = hidalgoOneDayValue
hidalgoArray.push(bryanAvgHt[i])
}
return hidalgoArray
}
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calculated_hidalgo_gage_height_daily_array = applyAaronSmithsEquationToEachDayInArray(gage_height_daily_array_bryan,gage_height_daily_array_hempstead)
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function getGageHeightFromDailyAverageResults(raw_json_returned_daily_avgs,variableName){
var variableName = "Gage height, ft"
var data = raw_json_returned_daily_avgs.value.timeSeries
if(data.length >= 3){
if(data[3].sourceInfo.siteName == "Brazos Rv at SH 21 nr Bryan, TX"){
return data[3].values[0].value
}
}
for (var i = 0; i < data.length; i++){
if(
data[i].variable.variableName == "Gage height, ft"){
return data[i].values[0].value
}
}
}
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function calculatePercentDaysAboveMinLimit(stream_data_array_of_objects,key_name,max_value){
return stream_data_array_of_objects.filter(good_days => (good_days[key_name] < max_value));
}
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function percent_good_days_above_min_level(stream_data_array_of_objects,key_name,max_value){
var good_days = calculatePercentDaysAboveMinLimit(stream_data_array_of_objects,key_name,max_value)
var percent_good_days = good_days.length / stream_data_array_of_objects.length
return percent_good_days
}
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percentDaysAboveMinValue = percent_good_days_above_min_level(calculated_hidalgo_gage_height_daily_array,"value",minimal_height_for_playboating)
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function calculatePercentDaysBelowSelectedMaxLimit(stream_data_array_of_objects,key_name,max_value){
return stream_data_array_of_objects.filter(good_days => (good_days[key_name] < max_value));
}
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function percent_days_below_features_washout_user_selected(stream_data_array_of_objects,key_name,max_value){
var good_days = calculatePercentDaysBelowSelectedMaxLimit(stream_data_array_of_objects,key_name,max_value)
var percent_good_days = good_days.length / stream_data_array_of_objects.length
return percent_good_days
}
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percentDaysBelowSelectedWashOutValue = percent_good_days_above_min_level(calculated_hidalgo_gage_height_daily_array,"value",most_features_wash_out)
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most_features_wash_out
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function calculatePercentDaysWithinUserSelectedRange(stream_data_array_of_objects,key_name,min_value,max_value){
var stream_temp = stream_data_array_of_objects.filter(good_days => (good_days[key_name] < max_value))
return stream_temp.filter(good_days => (good_days[key_name] > min_value));
}
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function percent_days_withinUserSelectedRange(stream_data_array_of_objects,key_name,min_value,max_value){
var good_days = calculatePercentDaysWithinUserSelectedRange(stream_data_array_of_objects,key_name,min_value, max_value)
var percent_good_days = good_days.length / stream_data_array_of_objects.length
return percent_good_days
}
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percentDaysWithinUserSelectedRange = percent_days_withinUserSelectedRange(calculated_hidalgo_gage_height_daily_array,"value",minimal_height_for_playboating,most_features_wash_out)
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minimal_height_for_playboating
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most_features_wash_out
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data_daily_avg_bryan.value.timeSeries[3].values[0].value[4]
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data_daily_avg_bryan.value.timeSeries[3].values[0].value[0].value.includes("NaN")
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data_daily_avg_bryan.value.timeSeries
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data_daily_avg_bryan.value.timeSeries[4].values[0].value
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data_daily_avg_bryan.value.timeSeries[5].sourceInfo.siteName
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gage_height_daily_array_hempstead[0]
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vegalite = require("@observablehq/vega-lite@0.1")
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import {date} from "@jashkenas/inputs"
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d3 = require("d3@5")
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import { toc } from "@nebrius/indented-toc" // This component generates the Table of Contents
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import {slider} from "@jashkenas/inputs"
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