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Predicting nonpoint stormwater runoff quality from land use

机译:通过土地利用预测面源雨水径流质量

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摘要

Evaluating the impact of urban development on natural ecosystem processes has become an increasingly complex task for planners, environmental scientists, and engineers. As the built environment continues to grow, unregulated nonpoint pollutants from increased human activity and large-scale development severely stress urban streams and lakes resulting in their currently impaired or degraded state. In response, integrated water quality management programs have been adopted to address these unregulated nonpoint pollutants by utilizing best management practices (BMPs) that treat runoff as close to the source as possible. Knowing where to install effective BMPs is no trivial task, considering budget constraints and the spatially extensive nature of nonpoint stormwater runoff. Accordingly, this paper presents an initial, straightforward and cost-effective methodology to identify critical nonpoint pollutant source watersheds through correlation of water quality with land use. Through an illustrative application to metropolitan Denver, Colorado, it is shown how this method can be used to aid stormwater professionals to evaluate and specify retrofit locations in need of water quality treatment features reduce, capture and treat stormwater runoff prior to entering receiving waters.
机译:对于规划人员,环境科学家和工程师而言,评估城市发展对自然生态系统过程的影响已变得越来越复杂。随着建筑环境的不断发展,人类活动和大规模发展带来的不受管制的非点源污染物对城市溪流和湖泊造成了严重压力,导致其目前处于受损或退化状态。作为回应,已经采用了综合水质管理计划,以通过利用最佳管理实践(BMP)来处理径流尽可能接近源头的方式来解决这些不受管制的面源污染物。考虑到预算限制和非点状雨水径流在空间上的广泛性,知道在哪里安装有效的BMP并不是一件容易的事。因此,本文提出了一种初始,直接且具有成本效益的方法,通过将水质与土地利用相关联来确定关键的非点源污染源流域。通过在科罗拉多州丹佛市的说明性应用,表明了如何使用此方法来帮助雨水专业人员评估和指定需要水质处理特征的改造地点,以减少,捕获和处理进入接收水之前的雨水径流。

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