Abstract
The objectives of this study are to build and interpret logistic regression models predicting probability of water quality impairment based on boundary river flows and interpret spatial variations in linear associations between pathogen indicators, river flows and TSS (total suspended solids), in a CSO-impacted stretch at Paterson, New Jersey. The logistic regression models were statistically most significant at the upstream and downstream boundaries. The significance reduced as we travelled downstream, was lowest midway of the stretch, and increased after. For all sites, increasing flow at Little Falls, the upstream boundary, decreased the probability of water quality violation whereas increasing flow at Dundee Dam, the downstream boundary, increased the probability of water quality violation. The probability also decreased with increasing difference in flows. The relationship between TSS and pathogen indicators was strong at shallow sites with laminar flow whereas it was weak at sites with turbulent flow or with deep waters.
Original language | English |
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Pages | 675-688 |
Number of pages | 14 |
State | Published - 2019 |
Event | 92nd Annual Water Environment Federation's Technical Exhibition and Conference, WEFTEC 2019 - Chicago, United States Duration: 21 Sep 2019 → 25 Sep 2019 |
Conference
Conference | 92nd Annual Water Environment Federation's Technical Exhibition and Conference, WEFTEC 2019 |
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Country/Territory | United States |
City | Chicago |
Period | 21/09/19 → 25/09/19 |
Keywords
- Combined Sewer Overflows
- Logistic Regression
- Pathogen Indicators
- Total Suspended Solids