Validation of the swat model on a large river basin with point and nonpoint sources

Validation of the swat model on a large river basin with point and nonpoint sources
复制标题

DOI:
10.1111/j.1752-1688.2001.tb03630.x
复制
发表时间:
2001-10-01
影响因子:
2.4
通讯作者:
Hauck, LM
Hauck, LM
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Santhi, C;Arnold, JG;Hauck, LM

文献摘要

被引文献

相似文献

德克萨斯州已在博斯克河流域启动了日最大总负荷计划,那里的点源和非点源是一个令人担忧的问题。土壤水分评估工具(SWAT)对流域中的流量、泥沙和养分进行了验证,以评估可选的管理方案并评估其在控制污染方面的效果。本文讨论了在北博斯克河沿岸的Hico和Valley Mills两个地点进行的校准和验证。流量校准是从1960年到1998年进行的。沉积物和营养物质校准是从1993年到1997年在HICO进行的,从1996年到1997年在山谷磨坊进行的。对1998年的模型进行了验证。时间序列图和统计方法被用来验证模型预测。在校准和验证过程中,预测值与观测值基本匹配(大多数情况下,R-2大于或等于0.6,纳什-萨特克利夫效率大于或等于0.5),除了在两个地点的校准过程中对氮的预测不足,以及山谷磨坊在验证过程中对沉积物和有机营养物质的预测不足。这项研究表明,SWAT能够成功地预测流量、泥沙和营养物质,并可用于研究替代管理方案的影响。
The State of Texas has initiated the development of a Total Maximum Daily Load program in the Bosque River Watershed, where point and nonpoint sources of pollution are a concern. Soil Water Assessment Tool (SWAT) was validated for flow, sediment, and nutrients in the watershed to evaluate alternative management scenarios and estimate their effects in controlling pollution. This paper discusses the calibration and validation at two locations, Hico and Valley Mills, along the North Bosque River. Calibration for flow was performed from 1960 through 1998. Sediment and nutrient calibration was done from 1993 through 1997 at Hico and from 1996 through 1997 at Valley Mills. Model validation was performed for 1998. Time series plots and statistical measures were used to verify model predictions. Predicted values generally matched well with the observed values during calibration and validation (R-2 greater than or equal to 0.6 and Nash-Suttcliffe Efficiency greater than or equal to 0.5, in most instances) except for some underprediction of nitrogen during calibration at both locations and sediment and organic nutrients during validation at Valley Mills. This study showed that SWAT was able to predict flow, sediment, and nutrients successfully and can be used to study the effects of alternative management scenarios.