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

Use of local Moran's I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland
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DOI:
10.1016/j.scitotenv.2008.03.011
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发表时间:
2008-07-15
影响因子:
9.8
通讯作者:
Ledwith, Valerie
Ledwith, Valerie
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Zhang, Chaosheng;Luo, Lin;Ledwith, Valerie

文献摘要

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需要查明城市土壤中的污染热点,以便更好地进行环境管理。重要的是要知道是否存在热点以及热点是否具有统计学意义。以爱尔兰高威城市土壤中Pb含量为例,研究了污染热点的识别方法,并探讨了热点识别结果的影响因素。地方Moran's I指数是一个有用的工具,以确定污染热点的铅污染在城市土壤中,并将其划分为空间集群。和空间离群值。权函数的定义、数据的变换和极值的存在对结果有影响。与正偏原始数据的结果相比,转换后的数据和排除极端值的数据显示,市中心的高值空间集群的面积更大。虽然很难确定使用该指标的最佳方法,但建议应考虑所有这些影响因素,直到获得合理可靠的结果。可以应用地理信息系统制图,通过空间模式的可视化来帮助评估结果。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)。(C)2008 Elsevier B.V.保留所有权利。
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. (C) 2008 Elsevier B.V. All rights reserved.