Literature DB >> 18440599

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

Chaosheng Zhang1, Lin Luo, Weilin Xu, Valerie Ledwith.   

Abstract

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.

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Year:  2008        PMID: 18440599     DOI: 10.1016/j.scitotenv.2008.03.011

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  22 in total

1.  Spatial variations of concentrations of copper and its speciation in the soil-rice system in Wenling of southeastern China.

Authors:  Keli Zhao; Weijun Fu; Xingmei Liu; Dongliang Huang; Chaosheng Zhang; Zhengqian Ye; Jianming Xu
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-25       Impact factor: 4.223

2.  PM2.5 mapping using integrated geographically temporally weighted regression (GTWR) and random sample consensus (RANSAC) models.

Authors:  Hone-Jay Chu; Muhammad Bilal
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

3.  Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models.

Authors:  Fangzheng Li; Xiyue Wang; Haimeng Liu; Xiong Li; Xi Zhang; Yue Sun; Yuhong Wang
Journal:  Environ Monit Assess       Date:  2018-08-22       Impact factor: 2.513

4.  The Regional Geoboundarization of the Mexican Population in the United States through Saenzian Logic.

Authors:  Carlos Siordia
Journal:  Mex J Sci Res       Date:  2014 Jan-Jun

5.  Method for identifying outliers of soil heavy metal data.

Authors:  Jun Yang; Jingyun Wang; Yuanming Zheng; Mei Lei; Junxing Yang; Xiaoming Wan; Tongbin Chen
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-24       Impact factor: 4.223

6.  A multivariate geostatistical methodology to delineate areas of potential interest for future sedimentary gold exploration.

Authors:  P Goovaerts; Teresa Albuquerque; Margarida Antunes
Journal:  Math Geosci       Date:  2016-02-01       Impact factor: 2.576

7.  Influences of traffic on Pb, Cu and Zn concentrations in roadside soils of an urban park in Dublin, Ireland.

Authors:  Ligang Dao; Liam Morrison; Hongxuan Zhang; Chaosheng Zhang
Journal:  Environ Geochem Health       Date:  2013-07-05       Impact factor: 4.609

8.  The use of spatial autocorrelation analysis to identify PAHs pollution hotspots at an industrially contaminated site.

Authors:  Geng Liu; Rutian Bi; Shijie Wang; Fasheng Li; Guanlin Guo
Journal:  Environ Monit Assess       Date:  2013-06-09       Impact factor: 2.513

9.  Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app.

Authors:  Ruth C E Bowyer; Thomas Varsavsky; Claire J Steves; Cristina Menni; Ellen J Thompson; Carole H Sudre; Benjamin A K Murray; Maxim B Freidin; Darioush Yarand; Sajaysurya Ganesh; Joan Capdevila; Elco Bakker; M Jorge Cardoso; Richard Davies; Jonathan Wolf; Tim D Spector; Sebastien Ourselin
Journal:  Thorax       Date:  2020-12-29       Impact factor: 9.102

10.  Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study.

Authors:  David De Ridder; Fabiën N Belle; Pedro Marques-Vidal; Belén Ponte; Murielle Bochud; Silvia Stringhini; Stéphane Joost; Idris Guessous
Journal:  Nutrients       Date:  2021-05-25       Impact factor: 5.717

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