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美国中部一个多土地利用流域嵌套尺度同期水流、悬浮泥沙和养分的 SWAT 模型验证。

A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA.

机构信息

University of Missouri, School of Natural Resources, Water Resources Program, Department of Forestry, 203-T ABNR Building, Columbia, MO 65211, USA.

West Virginia University, Institute of Water Security and Science, Davis College, Schools of Agriculture and Food, and Natural Resources. 1098 Agricultural Sciences Building, Morgantown, WV 26506, USA.

出版信息

Sci Total Environ. 2016 Dec 1;572:232-243. doi: 10.1016/j.scitotenv.2016.07.178. Epub 2016 Aug 5.

Abstract

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-Sutcliffe 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 0.36, 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.

摘要

需要不断验证预测模型模拟污染物产量的准确性,特别是对于多土地利用(即森林、农业和城市)流域。然而,很少有足够的观测数据集提供所需的时空分辨率和耦合的多参数成分,以进行严格的模型性能评估。四年的水文气候和水质数据用于验证 SWAT 模型对美国中部一个多土地利用流域的 5 个嵌套尺度测量站点的月流量、悬浮泥沙、总磷、硝酸盐、亚硝酸盐、铵和总无机氮的估算。未经校准的 SWAT 模型满意地模拟了月流量,纳什-苏特克里夫效率(NSE)值从源头附近的 0.50 到流域出口附近的 0.75。然而,未经校准的模型不能准确地模拟月泥沙、总磷、硝酸盐、亚硝酸盐、铵和总无机氮,NSE 值<0.05。对流域内多个测量站点校准 SWAT 模型提高了月流量(NSE=0.83)、泥沙(NSE=0.78)、总磷(NSE=0.81)、硝酸盐(NSE=0.90)和总无机氮(NSE=0.86)的估算值。然而,亚硝酸盐和铵的估算值的 NSE 值为<-0.16。此外,在验证期内,泥沙、硝酸盐和总无机氮的模型性能下降,NSE 值分别小于 0.62、0.52 和 0.36。结果突出了对 SWAT 模型进行多测量站点校准的好处,并为希望在多个尺度上提高模型性能的 SWAT 模型(或类似模型)用户提供了指导。

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