کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4575910 | 1629920 | 2016 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Estimating ammonium and nitrate load from septic systems to surface water bodies within ArcGIS environments Estimating ammonium and nitrate load from septic systems to surface water bodies within ArcGIS environments](/preview/png/4575910.png)
• GIS-based software developed for nitrogen transport in vadose zone and groundwater.
• Software with designed flexibility for different nitrogen modeling scenarios.
• Real-world application for estimating nitrogen loading at the neighborhood scale.
SummaryThis paper presents a recently developed software, ArcGIS-based Nitrogen Load Estimation Toolkit (ArcNLET), for estimating nitrogen loading from septic systems to surface water bodies. The load estimation is important for managing nitrogen pollution, a world-wide challenge to water resources and environmental management. ArcNLET simulates coupled transport of ammonium and nitrate in both vadose zone and groundwater. This is a unique feature that cannot be found in other ArcGIS-based software for nitrogen modeling. ArcNLET is designed to be flexible for the following four simulating scenarios: (1) nitrate transport alone in groundwater; (2) ammonium and nitrate transport in groundwater; (3) ammonium and nitrate transport in vadose zone; and (4) ammonium and nitrate transport in both vadose zone and groundwater. With this flexibility, ArcNLET can be used as an efficient screening tool in a wide range of management projects related to nitrogen pollution. From the modeling perspective, this paper shows that in areas with high water table (e.g. river and lake shores), it may not be correct to assume a completed nitrification process that converts all ammonium to nitrate in the vadose zone, because observation data can indicate that substantial amount of ammonium enters groundwater. Therefore, in areas with high water table, simulating ammonium transport and estimating ammonium loading, in addition to nitrate transport and loading, are important for avoiding underestimation of nitrogen loading. This is demonstrated in the Eggleston Heights neighborhood in the City of Jacksonville, FL, USA, where monitoring well observations included a well with predominant ammonium concentrations. The ammonium loading given by the calibrated ArcNLET model can be 10–18% of the total nitrogen load, depending on various factors discussed in the paper.
Journal: Journal of Hydrology - Volume 532, January 2016, Pages 177–192