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Stormwater runoff quality in correlation to land use and land cover development in Yongin, South Korea

机译:韩国龙仁市的雨水径流质量与土地利用和土地覆盖的发展相关

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Stormwater runoff quality is sensitive to land use and land cover (LULC) change. It is difficult to understand their relationship in predicting the pollution potential and developing watershed management practices to eliminate or reduce the pollution risk. In this study, the relationship between LULC change and stormwater runoff quality in two separate monitoring sites comprising a construction area (Site 1) and mixed land use (Site 2) was analyzed using geographic information system (GIS), event mean concentration (EMC), and correlation analysis. It was detected that bare land area increased, while other land use areas such as agriculture, commercial, forest, grassland, parking lot, residential, and road reduced. Based on the analyses performed, high maximum range and average EMCs were found in Site 2 for most of the water pollutants. Also, urban areas and increased conversion of LULC into bare land corresponded to degradation of stormwater quality. Correlation analysis between LULC and stormwater quality showed the influence of different factors such as farming practices, geographical location, and amount of precipitation, vegetation loss, and anthropogenic activities in monitoring sites. This research found that GIS application was an efficient tool for monthly monitoring, validation and statistical analysis of LULC change in the study area.
机译:雨水径流质量对土地利用和土地覆被(LULC)的变化很敏感。在预测潜在污染和制定流域管理措施以消除或减少污染风险方面,很难理解它们之间的关系。在这项研究中,使用地理信息系统(GIS),事件平均浓度(EMC)分析了两个单独的监测站点中的LULC变化与雨水径流质量之间的关系,这些站点包括建筑区域(站点1)和混合土地利用(站点2)。以及相关性分析。据检测,光秃秃的土地面积增加了,而农业,商业,森林,草原,停车场,住宅和道路等其他土地利用面积却减少了。根据进行的分析,在站点2中发现了大多数水污染物的高最大范围和平均EMC。同样,城市地区和土地利用,土地利用的变化和耕种增加到裸地对应于雨水质量的下降。 LULC与雨水质量之间的相关性分析显示了不同的因素的影响,例如耕作方式,地理位置,降水量,植被损失和监测地点的人为活动。这项研究发现,GIS应用程序是研究区域内每月对LULC变化进行监视,验证和统计分析的有效工具。

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