Article ID Journal Published Year Pages File Type
1056260 Journal of Environmental Management 2013 11 Pages PDF
Abstract

•Management of watersheds and water resources is a serious challenge to China.•The ReNuMa model is applied as an analytical tool for the first time in China.•Monthly variations of discharge and DN yield are estimated for the Sha He watershed.•ReNuMa's sensitivity and uncertainty analysis tools support watershed management.•Model scenarios facilitate environmental management studies in Chinese watersheds.

Models and related analytical methods are critical tools for use in modern watershed management. A modeling approach for quantifying the source apportionment of dissolved nitrogen (DN) and associated tools for examining the sensitivity and uncertainty of the model estimates were assessed for the Sha He River (SHR) watershed in China. The Regional Nutrient Management model (ReNuMa) was used to infer the primary sources of DN in the SHR watershed. This model is based on the Generalized Watershed Loading Functions (GWLF) and the Net Anthropogenic Nutrient Input (NANI) framework, modified to improve the characterization of subsurface hydrology and septic system loads. Hydrochemical processes of the SHR watershed, including streamflow, DN load fluxes, and corresponding DN concentration responses, were simulated following calibrations against observations of streamflow and DN fluxes. Uncertainty analyses were conducted with a Monte Carlo analysis to vary model parameters for assessing the associated variations in model outputs. The model performed accurately at the watershed scale and provided estimates of monthly streamflows and nutrient loads as well as DN source apportionments. The simulations identified the dominant contribution of agricultural land use and significant monthly variations. These results provide valuable support for science-based watershed management decisions and indicate the utility of ReNuMa for such applications.

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Related Topics
Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment
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