A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebr... more A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebraska urban watersheds. Discrete stormwater samples were collected at the study sites during 17 storm runoff events over a three-year period. In-stream flow and water quality (e.g., turbidity) measurements were combined with climatic data to develop multiple-linear regression (MLR) models for the estimation of six stormwater pollutant concentrations [i.e., total suspended solids (TSS), soluble reactive phosphorus (SRP), total phosphorus (TP), nitrate plus nitrite-nitrogen (N + N), total Kjeldahl nitrogen (TKN), and Escherichia coli (E. coli)]. MLR concentration models based on in-stream measurements (CWQ-C) were developed to estimate pollutant concentrations at any time during a storm. Three additional MLR models were developed to estimate event mass loads based on (1) climatic data only, (2) both CWQ and climatic data (CWQ-L), and (3) use of literature event mean concentrations (simple mass load). The comparison suggests that for small, urban watersheds , using correlated in-stream water quality and flow measurements along with climatic data (e.g., CWQ-L models) best captures variability , especially for TSS, SRP, and TP. The study also showed that nitrate atmospheric deposition data improved the N+N and TKN Climatic and CWQ-L load models.
Water quality monitoring was conducted in two urban watersheds (Colonial Hills and Taylor Park) l... more Water quality monitoring was conducted in two urban watersheds (Colonial Hills and Taylor Park) located in southeast Lincoln, NE over a three year period spanning from October 2008 through September 2011. In-line probes continuously measured for turbidity, conductivity, dissolved oxygen, and water temperature while other water quality constituents were analyzed for discrete water samples collected using grab and automatic sampling techniques. The water quality data was used to calculate event mean concentrations (EMCs) for sixteen storm events sampled over the duration of the project period. Three types of stormwater quality multiple linear regression models were developed for the estimation of the discretely measured parameters: (1) continuous concentration models using in-line probe and flow data along with climatic data as explanatory variables; (2) EMC models using only climatic data as explanatory variables;
A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebr... more A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebraska urban watersheds. Discrete stormwater samples were collected at the study sites during 17 storm runoff events over a three-year period. In-stream flow and water quality (e.g., turbidity) measurements were combined with climatic data to develop multiple-linear regression (MLR) models for the estimation of six stormwater pollutant concentrations [i.e., total suspended solids (TSS), soluble reactive phosphorus (SRP), total phosphorus (TP), nitrate plus nitrite-nitrogen (N + N), total Kjeldahl nitrogen (TKN), and Escherichia coli (E. coli)]. MLR concentration models based on in-stream measurements (CWQ-C) were developed to estimate pollutant concentrations at any time during a storm. Three additional MLR models were developed to estimate event mass loads based on (1) climatic data only, (2) both CWQ and climatic data (CWQ-L), and (3) use of literature event mean concentrations (simple mass load). The comparison suggests that for small, urban watersheds , using correlated in-stream water quality and flow measurements along with climatic data (e.g., CWQ-L models) best captures variability , especially for TSS, SRP, and TP. The study also showed that nitrate atmospheric deposition data improved the N+N and TKN Climatic and CWQ-L load models.
A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebr... more A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebraska urban watersheds. Discrete stormwater samples were collected at the study sites during 17 storm runoff events over a three-year period. In-stream flow and water quality (e.g., turbidity) measurements were combined with climatic data to develop multiple-linear regression (MLR) models for the estimation of six stormwater pollutant concentrations [i.e., total suspended solids (TSS), soluble reactive phosphorus (SRP), total phosphorus (TP), nitrate plus nitrite-nitrogen (N + N), total Kjeldahl nitrogen (TKN), and Escherichia coli (E. coli)]. MLR concentration models based on in-stream measurements (CWQ-C) were developed to estimate pollutant concentrations at any time during a storm. Three additional MLR models were developed to estimate event mass loads based on (1) climatic data only, (2) both CWQ and climatic data (CWQ-L), and (3) use of literature event mean concentrations (simple mass load). The comparison suggests that for small, urban watersheds , using correlated in-stream water quality and flow measurements along with climatic data (e.g., CWQ-L models) best captures variability , especially for TSS, SRP, and TP. The study also showed that nitrate atmospheric deposition data improved the N+N and TKN Climatic and CWQ-L load models.
Water quality monitoring was conducted in two urban watersheds (Colonial Hills and Taylor Park) l... more Water quality monitoring was conducted in two urban watersheds (Colonial Hills and Taylor Park) located in southeast Lincoln, NE over a three year period spanning from October 2008 through September 2011. In-line probes continuously measured for turbidity, conductivity, dissolved oxygen, and water temperature while other water quality constituents were analyzed for discrete water samples collected using grab and automatic sampling techniques. The water quality data was used to calculate event mean concentrations (EMCs) for sixteen storm events sampled over the duration of the project period. Three types of stormwater quality multiple linear regression models were developed for the estimation of the discretely measured parameters: (1) continuous concentration models using in-line probe and flow data along with climatic data as explanatory variables; (2) EMC models using only climatic data as explanatory variables;
A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebr... more A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebraska urban watersheds. Discrete stormwater samples were collected at the study sites during 17 storm runoff events over a three-year period. In-stream flow and water quality (e.g., turbidity) measurements were combined with climatic data to develop multiple-linear regression (MLR) models for the estimation of six stormwater pollutant concentrations [i.e., total suspended solids (TSS), soluble reactive phosphorus (SRP), total phosphorus (TP), nitrate plus nitrite-nitrogen (N + N), total Kjeldahl nitrogen (TKN), and Escherichia coli (E. coli)]. MLR concentration models based on in-stream measurements (CWQ-C) were developed to estimate pollutant concentrations at any time during a storm. Three additional MLR models were developed to estimate event mass loads based on (1) climatic data only, (2) both CWQ and climatic data (CWQ-L), and (3) use of literature event mean concentrations (simple mass load). The comparison suggests that for small, urban watersheds , using correlated in-stream water quality and flow measurements along with climatic data (e.g., CWQ-L models) best captures variability , especially for TSS, SRP, and TP. The study also showed that nitrate atmospheric deposition data improved the N+N and TKN Climatic and CWQ-L load models.
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Papers by Jake R Fisher