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首页> 外文期刊>Applied Geochemistry: Journal of the International Association of Geochemistry and Cosmochemistry >The application of Local Moran's I to identify spatial clusters and hot spots of Pb, Mo and Ti in urban soils of Yerevan
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The application of Local Moran's I to identify spatial clusters and hot spots of Pb, Mo and Ti in urban soils of Yerevan

机译:地方莫兰的应用在Yerevan城市土壤中识别PB,MO和TI的空间簇和热点

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Soils are the main sink of pollutants in the terrestrial environment, reflecting the historical fingerprint of urban development. To provide scientifically grounded urban management and reclamation strategies for polluted sites, the spatial patterns of pollutants should be studied first by drawing a special focus on the identification of pollution hot spots. In this paper, Pb, Mo and Ti contents in Yerevan urban soils determined by the combination of X-ray fluorescence and atomic absorption spectrometry were studied using the Local Moran's I index (LMI). These elements (Pb, Mo and Ti) have different sources and a number of distance bands (650, 800, 1000, 1500, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10,000m and 15,000 m) were tested. This allows to reveal the optimal distance used for the identification of statistically significant spatial clusters and spatial outliers. According to the results the use of the raw data had to be excluded for elements that demonstrated highly skewed distribution whereas transformed data allowed to identify larger areas of high and low value spatial clusters. Moreover, the results of the different distance bands showed that the high and low spatial clusters became stable near the optimal distance band of 7000 m in the study area. The latter constituted the 1/3 of the maximum distance between all sample pairs. At this distance, Ti LMI results reflected the natural local geology composition whereas Mo distribution was in line with the known sources of industrial pollution ("Plant of Pure Iron"). In the case of Pb, the high-value spatial clusters were in line with the built-up urban areas and spatially correlated with the prevailing northeast winds. This study confirmed the applicability of LMI in the identification of spatial clusters and outliers at the optimal distance band which might be considered also as a break point of spatial clusters expansion and a guidance for spatial boundary of possible remediation and pollution redu
机译:土壤是陆地环境污染物的主要汇,反映了城市发展的历史指纹。为了为污染地点提供科学基础的城市管理和填海策略,应首先通过专注于识别污染热点来研究污染物的空间模式。在本文中,使用局部莫兰的I指数(LMI)研究了由X射线荧光和原子吸收光谱的组合确定的埃里温城市土壤中的Pb,Mo和Ti含量。这些元件(PB,Mo和Ti)具有不同的源和多个距离带(650,800,000,1500,2000,3000,4000,5000,6000,7000,8000,9000,10,000m和15,000米)测试。这允许揭示用于识别统计上显着的空间簇和空间异常值的最佳距离。根据结果​​,必须将原始数据的使用被排除在展示高度倾斜分布的元件中,而转换的数据允许识别高值和低值空间簇的较大区域。此外,不同距离带的结果表明,高空间簇在研究区域在7000米的最佳距离带附近变得稳定。后者构成了所有样品对之间的最大距离的1/3。在此距离,Ti LMI结果反映了天然局部地质组成,而Mo分布符合已知的工业污染源(“纯铁植物”)。在PB的情况下,高价值空间簇与建筑城市地区一致,与普遍的东北风相连。本研究证实了LMI在最佳距离频段的识别空间簇和异常值中的适用性也可以被认为是空间集群扩张的断点,以及可能的修复和污染污染的空间边界的指导

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