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The combination of a rainfall event model and a continuous simulation model for a brtter assessment of nonpoint source pollution

机译:降雨事件模型和连续模拟模型的结合,可以更好地评估非点源污染

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One method for the assessment of the release and movement of nutrients and pollutants within a watershed can be performed using hydrologically based simulation models. The main goal of modeling watershed hydrologic systems is the development of a mathematical structure that can be performed using the complexity of hydrological processes and their interrelations. To achieve this goal, state-of-the-art modeling techniuqes take advantage of GIS technology to provide a useful manner to collect, store and retrieve huge quantities of data for watershed scale assessments. GIS tools satisfy the assessment of distributed characteristics of the landscape and of the associated hydrological variables. This is particularly important using nonpoint pollution models for the assessment of the effects of agricultural activities that overlay intrinsic hydrological attributes. Temoral patterns of release of nutrient and chemicals is directly conencted with rainfall events. Particularly, most chemicals are delivered to waterbodies during only a few large runoff events. Two USDA-ARS models have been developed for the assessment of nonpoint pollution loading from ungaged watersheds: WAT (Soil and Water Assessment Tool) and AGNPS (Agricultural Nonpoint Pollution Source model). Each model performs distributed assessments on a watershed scale: with SWAT devoted to continuous long time simualtions and AGNPS devoted to the analysis of the effect of single representative rainfall events.
机译:可以使用基于水文学的模拟模型来评估流域内养分和污染物的释放和运动的一种方法。对流域水文系统进行建模的主要目标是开发一种数学结构,该结构可以利用水文过程的复杂性及其相互关系来执行。为了实现此目标,最新的建模技术利用GIS技术提供了一种有用的方式来收集,存储和检索大量数据,以进行分水岭规模评估。 GIS工具可满足对景观和相关水文变量的分布特征的评估。使用非点源污染模型评估覆盖内在水文属性的农业活动的影响尤其重要。营养物质和化学物质释放的情绪模式直接与降雨事件有关。特别是,大多数化学药品仅在少数几个大型径流事件中才被输送到水体中。已经开发了两种USDA-ARS模型,用于评估未利用流域的非点源污染负荷:WAT(土壤和水评估工具)和AGNPS(农业非点源污染源模型)。每个模型都在分水岭范围内执行分布式评估:SWAT专门用于连续的长时间模拟,而AGNPS专门用于分析单个代表性降雨事件的影响。

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