Literature DB >> 28724095

Modeling the Effects of Onsite Wastewater Treatment Systems on Nitrate Loads Using SWAT in an Urban Watershed of Metropolitan Atlanta.

Nahal Hoghooghi, David E Radcliffe, Mussie Y Habteselassie, Jaehak Jeong.   

Abstract

Onsite wastewater treatment systems (OWTSs) can be a source of nitrogen (N) pollution in both surface and ground waters. In metropolitan Atlanta, GA, >26% of homes are on OWTSs. In a previous article, we used the Soil Water Assessment Tool to model the effect of OWTSs on stream flow in the Big Haynes Creek Watershed in metropolitan Atlanta. The objective of this study was to estimate the effect of OWTSs, including failing systems, on nitrate as N (NO-N) load in the same watershed. Big Haynes Creek has a drainage area of 44 km with mainly urban land use (67%), and most of the homes use OWTSs. A USGS gauge station where stream flow was measured daily and NO-N concentrations were measured monthly was used as the outlet. The model was simulated for 12 yr. Overall, the model showed satisfactory daily stream flow and NO-N loads with Nash-Sutcliffe coefficients of 0.62 and 0.58 for the calibration period and 0.67 and 0.33 for the validation period at the outlet of the Big Haynes Watershed. Onsite wastewater treatment systems caused an average increase in NO-N load of 23% at the watershed scale and 29% at the outlet of a subbasin with the highest density of OWTSs. Failing OWTSs were estimated to be 1% of the total systems and did not have a large impact on stream flow or NO-N load. The NO-N load was 74% of the total N load in the watershed, indicating the important effect of OWTSs on stream loads in this urban watershed.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

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Year:  2017        PMID: 28724095     DOI: 10.2134/jeq2016.08.0322

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  2 in total

1.  Evaluation of the soil and water assessment tool (SWAT) for simulating E. coli concentrations at the watershed-scale.

Authors:  Robert A Sowah; Kenneth Bradshaw; Blake Snyder; David Spidle; Marirosa Molina
Journal:  Sci Total Environ       Date:  2020-07-02       Impact factor: 7.963

2.  Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.

Authors:  Nahal Hoghooghi; J Scott Pippin; Brian K Meyer; John B Hodges; Brian P Bledsoe
Journal:  PLoS One       Date:  2021-08-25       Impact factor: 3.240

  2 in total

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