Literature DB >> 17481883

Land register of contaminated sites in an industrial Chilean region: identification and evaluation of suspected sites.

Alberto Bezama1, Rodrigo Agüero, Fernando Márquez, Sandra Barrera, Nicolás Salazar, Karl E Lorber.   

Abstract

This work introduces the outcomes of the first process for the identification and evaluation of sites potentially contaminated in the Region of the Bio Bio, Chile. The methodology combined qualitative and quantitative elements from Austrian and German risk assessment procedures, calibrated and adapted to the Chilean reality. The developed process consists of collecting historical and current registers on soil use, effects of materials handling on the population's health, and the description of the site conditions. The first analytical step corresponds to an image algebra analysis, through which the most vulnerable areas of the region are established. The sites identified inside the most vulnerable areas are classified into five priority classes, giving an approximate degree of endangerment from these sites. Through the experience, from a total of 507 sites identified as suspicious of contamination, five sites were classified under the highest priority. The results of this analysis have allowed Chilean authorities to focus their resources on the detailed investigations to be carried out in the five priority locations, whilst planning the future strategy to follow for the practical management of all sites found as currently posing a risk to the environment and to the society.

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Year:  2007        PMID: 17481883     DOI: 10.1016/j.wasman.2007.02.029

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Spatial Identification and Redevelopment Evaluation of Brownfields in the Perspective of Urban Complex Ecosystems: A Case of Wuhu City, China.

Authors:  Zihao Wang; Xiaoqiang Chen; Na Huang; Yinan Yang; Li Wang; Yuan Wang
Journal:  Int J Environ Res Public Health       Date:  2022-01-02       Impact factor: 3.390

  1 in total

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