Water Quality Data of the Chicago, Calumet, and Des Plaines River Systems in the Chicago Metropolitan Region

Published: 20 July 2020| Version 1 | DOI: 10.17632/rpyrkd98mz.1
Contributors:
Thaís Pluth, Dustin Gallagher, Dominic Brose, Jennifer Wasik

Description

Compiled water quality data of the Chicago, Calumet, and Des Plaines River Systems from 1975 to 2018. Data were collected as part of the Metropolitan Water Reclamation District's Ambient Water Quality Monitoring program. A study was carried out to evaluate water quality trends from 1975 to 2012 in the Chicago, Calumet, and Des Plaines River Systems in Cook County, Illinois, in order to investigate the impact of practices carried out by the Metropolitan Water Reclamation District of Greater Chicago. Data from 41 monitoring locations were compiled and analyzed for 11 water quality parameters. The seasonal Kendall test was performed on each variable at each location to analyze for long-term monotonic trends. For most sampling locations, long-term trend analyses showed significant downward trends for total organic carbon (TOC), total Kjeldahl nitrogen (TKN), ammonium nitrogen (NH4-N), total suspended solids (TSS), fecal coliform (FC), and sulfate and significant upward trends for dissolved oxygen (DO), chloride, and temperature. Results for total phosphorus were inconsistent across sampling locations. Improvements in TKN, NH4-N, TOC, TSS, FC, and DO concentrations over four decades demonstrated the beneficial impacts from the expansion of secondary treatment systems at water reclamation plants, implementation of the Tunnel and Reservoir Plan System, instream and side-stream elevated pool aeration stations, disinfection, and promulgation of lower National Pollutant Discharge Elimination System effluent limits. The study is described in the article entitled "Long-Term Trends in the Water Quality of the Chicago, Calumet, and Des Plaines River Systems in the Chicago Metropolitan Region".

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Institutions

  • Metropolitan Water Reclamation District of Greater Chicago

Categories

River Chemistry, Water, Water Quality, Water Quality Assessment, Waterway, River, Analysis of Large Data Set, Water Quality Improvement

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