2011
DOI: 10.1007/s11356-011-0502-8
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Combined inverse modeling approach and load duration curve method for variable nitrogen total maximum daily load development in an agricultural watershed

Abstract: For the NPS pollution-dominated watershed, temporal variable expressions of TMDL and requiring reduction are both necessary. This combined approach provides researchers and managers with a simple but efficient tool for variable TMDL development.

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Cited by 26 publications
(10 citation statements)
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“…This indicates that generation of TN input loads was larger than the corresponding total maximum allowable load with increasing river discharge. Thus, a temporally variable expression (e.g., a function of river discharge) is required for determining input load reduction allocations (Chen et al, 2011b. The percentage of time that DS inputs dominate (> Q e 0 , Fig.…”
Section: Using the Modified Lam For Targeting Nitrogen Input Load Redmentioning
confidence: 99%
“…This indicates that generation of TN input loads was larger than the corresponding total maximum allowable load with increasing river discharge. Thus, a temporally variable expression (e.g., a function of river discharge) is required for determining input load reduction allocations (Chen et al, 2011b. The percentage of time that DS inputs dominate (> Q e 0 , Fig.…”
Section: Using the Modified Lam For Targeting Nitrogen Input Load Redmentioning
confidence: 99%
“…3, the cumulative probability of achieving 387.3 ton was approximately 51.22%, which indicates a 48.78% water quality risk probability if the management plans were designed based on this estimated load. This risk probability could be due to the information loss of the model structure that represents the P cycle with varying levels of detail (Chen et al, 2011;Grey and Gupta, 2015). In this sense, this cumulative probability can be used to support risk analyses before watershed plans are implemented, provided that the chosen model structures consider all relevant processes of the P cycle and simulate them accurately.…”
Section: The Stochastic Simulation Resultsmentioning
confidence: 99%
“…Spatial monitoring (nested catchment experiment) For the experimental catchments, monitoring quali-quantitative control sites of water yield is selected through Nested Catchment Experiment method (NCE) [41] We also suggest using flow-load duration curves in the monitoring of the Water Producer/PCJ project, to describe the pollution loads according to flow rates, facilitating to visualize the quali-quantitative natural behavior of freshwater resources [14] [35] [48]. Flow and load duration curves demonstrate changes in land use or climate in the watersheds [13].…”
Section: Types Of Monitoringmentioning
confidence: 99%