...
首页> 外文期刊>Journal of the American Water Resources Association >WATERSHED SCALE MODELING OF CRITICAL SOURCE AREAS OF RUNOFF GENERATION AND PHOSPHORUS TRANSPORT
【24h】

WATERSHED SCALE MODELING OF CRITICAL SOURCE AREAS OF RUNOFF GENERATION AND PHOSPHORUS TRANSPORT

机译:径流产生与磷运输关键源区的流域尺度模型

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

A curve number based model, Soil and Water Assessment Tool (SWAT), and a physically based model, Soil Moisture Distribution and Routing (SMDR), were applied in a headwater watershed in Pennsylvania to identify runoff generation areas, as runoff areas have been shown to be critical for phosphorus management. SWAT performed better than SMDR in simulating daily streamflows over the four-year simulation period (Nash-Sutcliffe coefficient: SWAT, 0.62; SMDR, 0.33). Both models varied stream-flow simulations seasonally as precipitation and watershed conditions varied. However, levels of agreement between simulated and observed flows were not consistent over seasons. SMDR, a variable source area based model, needs further improvement in model formulations to simulate large peak flows as observed. SWAT simulations matched the majority of observed peak flow events. SMDR overpredicted annual flow volumes, while SWAT underpredicted the same. Neither model routes runoff over the landscape to water bodies, which is critical to surface transport of phosphorus. SMDR representation of the watershed as grids may allow targeted management of phosphorus sources. SWAT representation of fields as hydrologic response units (HRUs) does not allow such targeted management.
机译:已显示在宾夕法尼亚州的源头流域中使用基于曲线数的模型土壤和水评估工具(SWAT)和基于物理的模型土壤水分分布和路由(SMDR)来识别径流产生区域,因为已显示径流区域对磷管理至关重要。在四年的模拟期内,SWAT在模拟每日流量方面的表现优于SMDR(纳什-苏特克利夫系数:SWAT,0.62; SMDR,0.33)。两种模型都随着降雨和流域条件的变化而季节性地改变水流模拟。但是,模拟流量和观测流量之间的一致性水平在各个季节之间并不一致。 SMDR是一种基于可变源区域的模型,需要进一步改进模型公式以模拟观察到的大峰值流量。 SWAT模拟与大多数观察到的峰值流量事件相匹配。 SMDR高估了年流量,而SWAT低估了年流量。两种模型都没有将径流从景观引向水体,这对磷的表面传输至关重要。分水岭作为网格的SMDR表示可以允许对磷源进行有针对性的管理。将田野特警以水文响应单位(HRU)表示不允许这种目标管理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号