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      Mapping of Cu and Pb Contaminations in Soil Using Combined Geochemistry, Topography, and Remote Sensing: A Case Study in the Le’an River Floodplain, China

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          Abstract

          Heavy metal pollution in soil is becoming a widely concerning environmental problem in China. The aim of this study is to integrate multiple sources of data, namely total Cu and Pb contents, digital elevation model (DEM) data, remote sensing image and interpreted land-use data, for mapping the spatial distribution of total Cu and Pb contamination in top soil along the Le’an River and its branches. Combined with geographical analyses and watershed delineation, the source and transportation route of pollutants are identified. Regions at high risk of Cu or Pb pollution are suggested. Results reveal that topography is the major factor that controls the spatial distribution of Cu and Pb. Watershed delineation shows evidence that the streamflow resulting from rainfall is the major carrier of metal pollutants.

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          The importance of mobile, mobilisable and pseudo total heavy metal fractions in soil for three-level risk assessment and risk management

          S.K. Gupta, M.K. Vollmer, R. Krebs (1996)
          Article 0 comments Cited 23 times – based on 0 reviews     Review now
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            A GIS-based human health risk assessment for urban green space planning--an example from Grugliasco (Italy).

            Laura Poggio, Borut Vrscaj (2009)
            The need to develop approaches for risk-based management of soil contamination, as well as the integration of the assessment of the human health risk (HHR) due to the soil contamination in the urban planning procedures has been the subject of recent attention of scientific literature and policy makers. The spatial analysis of environmental data offers multiple advantages for studying soil contamination and HHR assessment, facilitating the decision making process. The aim of this study was to explore the possibilities and benefits of spatial implementation of a quantitative HHR assessment methodology for a planning case in a typical urban environment where the soil is contaminated. The study area is located in the city of Grugliasco a part of the Turin (Italy) metropolitan area. The soils data were derived from a site specific soil survey and the land-use data from secondary sources. In the first step the soil contamination data were geo-statistically analysed and a spatial soil contamination data risk modelling procedure designed. In order to spatially assess the HHR computer routines were developed using GIS raster tools. The risk was evaluated for several different land uses for the planned naturalistic park area. The HHR assessment indicated that the contamination of soils with heavy metals in the area is not sufficient to induce considerable health problems due to typical human behaviour within the variety of urban land uses. An exception is the possibility of direct ingestion of contaminated soil which commonly occurs in playgrounds. The HHR evaluation in a planning case in the Grugliasco Municipality confirms the suitability of the selected planning option. The construction of the naturalistic park presents one solution for reducing the impacts of soil contamination on the health of citizens. The spatial HHR evaluation using GIS techniques is a diagnostic procedure for assessing the impacts of urban soil contamination, with which one can verify planning options, and provides an important step in the integration of human health protection within urban planning procedures.
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              Technological assessment of a mining-waste dump at the Dexing copper mine, China, for possible conversion to an in situ bioleaching operation.

              Aixiang Wu, Shenghua Yin, Hongjiang Wang … (2009)
              In order to extract copper metal from the waste dump of Dexing copper mine and resolve the environmental problems caused by acidic water and heavy metals, a dump bioleaching plant was designed based on a series of experimental investigations. The investigation shown that the low-grade of the dump, refractoriness of chalcopyrite, leakage of pad, small Acidithiobacillus population and low dump permeability are the main factors that contribute to the challenges faced by the plant. Stability of the high and steep slope of the dump is the other hidden danger to which much attention is not paid. To evaluate the potential unstability of the dump, the leaching process, ore surface erosion, particle size, chemical elements and mechanical properties of the waste rock in DCM were investigated through experiment in this paper.
              Article 0 comments Cited 8 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Int J Environ Res Public Health
                Journal ID (iso-abbrev): Int J Environ Res Public Health
                Journal ID (publisher-id): ijerph
                Title: International Journal of Environmental Research and Public Health
                Publisher: MDPI
                ISSN (Print): 1661-7827
                ISSN (Electronic): 1660-4601
                Publication date (Electronic): 16 May 2012
                Publication date (Print): May 2012
                Volume: 9
                Issue: 5
                Pages: 1874-1886
                Affiliations
                [1 ]School of Resource and Environmental Science, Wuhan University, Luoyu Road 129, Wuhan 430079, China; Email: kellypcyy@ 123456126.com (Y.C.); yfliu610@ 123456163.com (Y.L.); awlin@ 123456263.net (A.L.); kxsiu@ 123456tom.com (X.K.); liudfeng1985@ 123456126.com (D.L.); lxrna@ 123456163.com (X.L.); 252070680@ 123456qq.com (Y.Z.); 494141963@ 123456qq.com (Y.G.); 12021715@ 123456qq.com (D.W.)
                [2 ]Key Laboratory of Geographical Information System, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China
                Author notes
                [* ]Author to whom correspondence should be addressed; Email: yaolin610@ 123456whu.edu.cn ; Tel.: +86-27-8715-2706; Fax: +86-27-6877-8893.
                Article
                Publisher ID: ijerph-09-01874
                DOI: 10.3390/ijerph9051874
                PMC ID: 3386593
                PubMed ID: 22754479
                SO-VID: 0c9d5466-0727-4769-ae30-0debe7d80cce
                Copyright © © 2012 by the authors; licensee MDPI, Basel, Switzerland.
                License:

                This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                Date received : 11 March 2012
                Date revision received : 20 April 2012
                Date accepted : 23 April 2012
                Categories
                Subject: Article

                ScienceOpen disciplines: Public health
                Keywords: soil,mapping,digital elevation model,contamination,heavy metal
                Data availability:
                ScienceOpen disciplines: Public health
                Keywords: soil, mapping, digital elevation model, contamination, heavy metal

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