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SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations

机译:SWAT参数化用于识别数据限制下的关键扩散污染源区域

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For lowering sediment, nitrogen (N) and phosphorus (P) pollution of surface water bodies at the catchment scale, environmental legislation require programs of pollution abatement measures. To be able to ensure the cost-effectiveness of such programs we first need to identify high risk areas, which give rise to increased pollutant runoff. Process-based GIS models provide the opportunity to identify such critical areas and hence better target diffuse pollution abatement actions. However, these models are data intensive and their spatially-distributed parameterization in poorly monitored catchments is not feasible without extensive input data pre-processing and significant simplifying assumptions. This study implements the widely-used SWAT river basin model (Soil Water Assessment Tool) to study a medium-sized Greek catchment with the typical data limitations met at the national level, in order to identify critical diffuse pollution source areas that may serve as the key areas for meeting the objective of 'good ecological status' of water bodies set by the European Water Framework Directive (WFD). Model parameterization and evaluation are presented along with the decisions made to overcome problems related to data representation in the catchment, in an effort to provide guidance on SWAT modeling in areas with similar characteristics. The results show that sediments and nutrients could be adequately reproduced in large time steps (monthly or seasonal) and that even with the current data limitations, the seasonal variation and the most critical areas of pollutant losses to waters could be adequately identified. The study proposes a transparent modeling approach under data limitations without neglecting possible deficiencies; however, it maintains that the SWAT model, if appropriately parameterized with respect to the land-use and soil differentiation within a limited-gauged catchment, can still facilitate the selection and placement of suitable practices across the landscape for a cost-effective diffused pollution management.
机译:为了降低集水区规模的地表水体的沉积物,氮(N)和磷(P)污染,环境立法要求制定减少污染措施计划。为了确保此类程序的成本效益,我们首先需要确定高风险区域,这会导致增加的污染物径流。基于过程的GIS模型提供了识别此类关键区域的机会,因此可以更好地针对减排目标。但是,这些模型是数据密集型的,如果没有大量的输入数据预处理和显着的简化假设,在监测不良的流域中进行空间分布的参数化是不可行的。本研究采用广泛使用的SWAT流域模型(土壤水评估工具)来研究中等规模的希腊流域,该流域具有在国家一级满足的典型数据限制,从而确定可能成为主要污染源的主要扩散污染源地区。欧洲水框架指令(WFD)设定的实现水体“良好生态状况”目标的关键领域。提出了模型参数化和评估,以及为克服与流域数据表示有关的问题而做出的决策,旨在为具有相似特征的地区的SWAT建模提供指导。结果表明,沉积物和养分可以在较大的时间步长(每月或每季)中得到充分的繁殖,即使在当前数据有限的情况下,也可以充分确定出季节性变化和污染物流失至水的最关键区域。这项研究提出了一种在数据有限的情况下透明的建模方法,同时又不忽略可能的缺陷。但是,它坚持认为,如果在有限的汇水面积内对土地利用和土壤差异进行适当参数化设置,则SWAT模型仍然可以促进在景观范围内选择和放置合适的做法,以进行具有成本效益的分散污染管理。

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