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Water Quality Component Development and Integration with USACE Watershed Hydrologic Models

机译:水质组成部分的开发和与USACE流域水文模型的整合

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Non-point source (NPS) runoff of pollutants is viewed as one of the most important factors causing impaired water quality in freshwater and estuarine ecosystems and has been addressed as a national priority since the passage of the Clean Water Act. To control NPS pollution, state and federal agencies developed a variety of programs that rely heavily on the use of management measures or "Best Management Practices" (BMPs). The main difficulty in selecting appropriate BMPs for a particular site is that BMP effectiveness varies from site to site due to spatial and temporal variations in site specific conditions such as climates, topography, soils, and landuse. This paper describes the development of a water quality sub-model and integration with USACE watershed hydrologic models sponsored by the System Wide Water Resources Program (SWWRP). This integrated modeling system may be used for estimating the site specific effectiveness of BMPs in reducing sediment and nutrient loss from agricultural areas. The water quality sub-model simulates detailed nitrogen (N) and phosphorus (P) cycling at the watershed scale and computes nutrient kinetic fluxes for N and P species. The model consists of three distinct parts: (1) nitrogen and phosphorus cycling in the soil, (2) transformation and loading of nitrogen and phosphorus species in the overland flow, and (3) nitrogen and phosphorus cycling in the stream network. The nutrient sub-model (NSM) integrated with the Gridded Surface Sub-surface Hydrologic Analysis (GSSHA) was tested and validated on three watersheds in Wisconsin (French Run, Eight Mile Creek, and Eau Galle Watersheds). The GSSHA-NSM model performed well in predicting runoff, sediment, nitrogen and phosphorus. This paper presents the model methodology and validation studies currently underway in Wisconsin.
机译:面源污染物的径流被认为是导致淡水和河口生态系统水质受损的最重要因素之一,自从《清洁水法》通过以来,已被列为国家优先事项。为了控制NPS污染,州和联邦机构制定了各种计划,这些计划在很大程度上依赖于管理措施或“最佳管理实践”(BMP)的使用。为特定地点选择合适的BMP的主要困难在于,由于地点特定条件(例如气候,地形,土壤和土地利用)的时空变化,各个地点的BMP有效性会有所不同。本文描述了水质子模型的开发以及与全系统水资源计划(SWWRP)赞助的USACE流域水文模型的集成。该综合建模系统可用于估算BMP在减少农业地区沉积物和养分流失方面的特定地点效果。水质子模型模拟了分水岭尺度上详细的氮(N)和磷(P)循环,并计算了N和P物种的养分动力学通量。该模型包括三个不同的部分:(1)土壤中的氮和磷循环,(2)陆流中氮和磷物种的转化和负载,以及(3)河流网络中的氮和磷循环。在威斯康星州的三个集水区(法语区,八英里溪和Eau Galle集水区)测试并验证了与网格化地表地下水文分析(GSSHA)集成的养分子模型(NSM)。 GSSHA-NSM模型在预测径流,沉积物,氮和磷方面表现良好。本文介绍了威斯康星州正在进行的模型方法论和验证研究。

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