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首页> 外文期刊>The Science of the Total Environment >A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA
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A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA

机译:来自美国中部多个土地利用流域的同时规模的同时期水流,悬浮泥沙和养分的SWAT模型验证

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摘要

There is an ongoing need to validate the accuracy of predictive model simulated pollutant yields, particularly from multiple-land-use (i.e. forested, agricultural, and urban) watersheds. However, there are seldom sufficient observed data sets available that supply requisite spatial and temporal resolution and coupled multi-parameter constituents for rigorous model performance assessment. Four years of hydroclimate and water quality data were used to validate SWAT model estimates of monthly stream flow, suspended sediment, total phosphorus, nitrate, nitrite, ammonium, and total inorganic nitrogen from 5 nested-scale gauging sites located in a multiple-land-use watershed of the central USA. The uncalibrated SWAT model satisfactorily simulated monthly stream flow with Nash-Sutdiffe efficiency (NSE) values ranging from 0.50 near the headwaters, to 0.75 near the watershed outlet However, the uncalibrated model did not accurately simulate monthly sediment, total phosphorus, nitrate, nitrite, ammonium, and total inorganic nitrogen with NSE values < 0.05. Calibrating the SWAT model to multiple gauging sites within the watershed improved estimates of monthly stream flow (NSE = 0.83), sediment (NSE = 0.78), total phosphorus (NSE = 0.81), nitrate (NSE = 0.90), and total inorganic nitrogen (NSE = 0.86). However, NSE values were <- 0.16 for nitrite and ammonium estimates. Additionally, model performance decreased for sediment, nitrate, and total inorganic nitrogen during the validation period with NSE values < 0.62,0.52, and 036, respectively. Results highlight the benefits of calibrating the SWAT model to multiple gauging sites and provide guidance to SWAT model (or similar models) users wishing to improve model performance at multiple scales.
机译:迫切需要验证预测模型模拟污染物产量的准确性,特别是来自多土地利用(即森林,农业和城市)流域的污染物产量的准确性。但是,很少有足够的观测数据集可提供必要的空间和时间分辨率,以及用于严格模型性能评估的耦合多参数成分。使用了四年的气候和水质数据来验证SWAT模型估算值,该模型估算值来自位于多个土地上的5个嵌套规模测量地点的月流量,悬浮沉积物,总磷,硝酸盐,亚硝酸盐,铵和总无机氮。使用美国中部的分水岭。未经校准的SWAT模型令人满意地模拟了月流,纳什-苏迪法效率(NSE)值的范围从源头附近的0.50到集水区出口附近的0.75。但是,未校准的模型不能精确地模拟月度沉积物,总磷,硝酸盐,亚硝酸盐,铵和NSE值<0.05的总无机氮。将SWAT模型校准到流域内的多个测量地点,可以改善估算的月流(NSE = 0.83),沉积物(NSE = 0.78),总磷(NSE = 0.81),硝酸盐(NSE = 0.90)和总无机氮( NSE = 0.86)。但是,对于亚硝酸盐和铵盐估算值,NSE值<-0.16。此外,在验证期内,沉积物,硝酸盐和总无机氮的模型性能下降,NSE值分别<0.62、0.52和036。结果突出了将SWAT模型校准到多个测量地点的好处,并为希望在多个规模上提高模型性能的SWAT模型(或类似模型)用户提供指导。

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