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Use of local Moran's I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland

机译:利用当地的Moran's I和GIS识别爱尔兰戈尔韦城市土壤中的Pb污染热点

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Pollution hotspots in urban soils need to be identified for better environmental management. It is important to know if there are hotspots and if the hotspots are statistically significant. In this study identification of pollution hotspots was investigated using Pb concentrations in urban soils of Galway City in Ireland as an example, and the influencing factors on results of hotspot identification were investigated. The index of local Moran's I is a useful tool for identifying pollution hotspots of Pb pollution in urban soils, and for classifying them into spatial clusters and spatial outliers. The results were affected by the definition of weight function, data transformation and existence of extreme values. Compared with the results for the positively skewed raw data, the transformed data and data with extreme values excluded revealed a larger area for the high value spatial clusters in the city centre. While it is hard to decide the best way of using this index, it is suggested that all these influencing factors should be considered until reasonable and reliable results are obtained. GIS mapping can be applied to help evaluate the results via visualization of the spatial patterns. Meanwhile, selected pollution hotspots (extreme values) in this study were confirmed by re-analyses and re-sampling.
机译:需要确定城市土壤中的污染热点,以进行更好的环境管理。重要的是要知道是否存在热点,并且该热点是否具有统计意义。本研究以爱尔兰戈尔韦市城市土壤中的铅含量为例,研究了污染热点的识别,并研究了影响热点识别结果的因素。局部Moran's I的指数是一个有用的工具,可用于识别城市土壤中Pb污染的污染热点,并将其分类为空间簇和空间离群值。结果受权重函数定义,数据转换和极值存在的影响。与正偏原始数据的结果相比,转换后的数据和排除极值的数据显示,市中心的高价值空间集群的面积更大。虽然很难决定使用该指数的最佳方法,但建议在获得合理和可靠的结果之前,应考虑所有这些影响因素。 GIS映射可用于通过空间模式的可视化帮助评估结果。同时,通过重新分析和重新采样确定了本研究中选定的污染热点(极值)。

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