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Analysis of Nonpoint Source Pollution Loading on Water Quality in an Urban-Rural River Catchment Using GIS-PLOAD Model: Case Study of Sosiani River Watershed

机译:基于GIS-PLOAD模型的城乡河流域非点源污染负荷水质分析-以索亚尼河流域为例

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Nonpoint sources of pollution (NPS) are inherently difficult to identify and estimate since they originate from diverse sources. This study presents a case study on the estimation of NPS loading using the GIS-based Pollutant Load (PLOAD) model in River Sosiani, Eldoret Town in Kenya, through the analysis of the transport and decay of pollutants in a catchment, in comparison with in situ measurements in order to validate the model results. Within a catchment area of 574.30 km 2 , with four main land use classes, the developed areas contributed to the highest event mean concentrations. From the PLOAD simulation results, fecal coliforms (FCOL) was the most dominant NPS with a maximum concentration of up to 5g/m 2 and the least was phosphates (PO4) with a maximum concentration of 1.9 g/m 2 . Cross-plot validation of the PLOAD results with the in situ event mean concentrations of PO4, NO3, BOD, TDS, TSS, and FCOL showed a good fit for all the four sampling sites along the River Sosiani. Some Best management practices (BMP) were introduced in the model in order to mitigate against the pollutants. Constructed wetlands showed significant reductions in the PO4, BOD and TDS loadings. The approach and results in this study can be used for the monitoring and mitigation against the impacts of urban effluent on a river.
机译:非点源污染(NPS)固有地难以识别和估计,因为它们来自多种来源。这项研究提供了一个案例研究,通过分析流域中污染物的迁移和衰减,与基于GIS的污染物的迁移和衰减相比,使用基于GIS的肯尼亚Eldoret镇Sosiani河中的污染物负荷(PLOAD)模型估算NPS负荷。现场测量以验证模型结果。在574.30 km 2的集水区中,有四个主要土地利用类别,发达地区的事件平均浓度最高。根据PLOAD模拟结果,粪大肠菌群(FCOL)是最主要的NPS,最大浓度为5g / m 2,而磷酸盐(PO4)的最小浓度为1.9 g / m 2。对PLOAD结果的交叉图验证与原位事件的平均PO4,NO3,BOD,TDS,TSS和FCOL浓度显示出对Sosiani河沿岸的所有四个采样点都非常合适。该模型中引入了一些最佳管理实践(BMP),以减轻污染物的危害。人工湿地的PO4,BOD和TDS含量显着降低。本研究中的方法和结果可用于监测和缓解城市污水对河流的影响。

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