Literature DB >> 21723609

Regional risk assessment for contaminated sites part 1: vulnerability assessment by multicriteria decision analysis.

A Zabeo1, L Pizzol, P Agostini, A Critto, S Giove, A Marcomini.   

Abstract

As highlighted in the EU Soil Communication, local contamination is one of the main soil threats and it is often related to present and past industrial activities which left a legacy of a high number of contaminated sites in Europe. These contaminated sites can be harmful to many different receptors according to their sensitivity/susceptibility to contamination, and specific vulnerability evaluations are needed in order to manage this widely spread environmental issue. In this paper a novel comprehensive vulnerability assessment framework to assess regional receptor susceptibility to contaminated site is presented. The developed methodology, which combines multi criteria decision analysis (MCDA) techniques and spatial analysis, can be applied to different receptors recognized as relevant for regional assessment. In order to characterize each receptor, picked parameters significant for the estimation of the vulnerability to contaminated sites have been selected, normalized and aggregated by means of multi criteria decision analysis (MCDA) techniques. The developed MCDA methodology, based on the Choquet integral, allows to include expert judgments for the elicitation of synergic and conflicting effects between involved criteria and is applied to all the geographical objects representing the identified receptors. To test the potential of the vulnerability methodology, it has been applied to a specific case study area in the upper Silesia region of Poland where it proved to be reliable and consistent with the environmental experts' expected results. The vulnerability assessment results indicate that groundwater is the most vulnerable receptor characterized by a wide area with vulnerability scores belonging to the highest vulnerability class. As far as the other receptors are concerned, human health and surface water are characterized by quite homogeneous vulnerability scores falling in the medium-high vulnerability classes, while protected areas resulted to be the less vulnerable receptor with only one protected area falling in the medium vulnerability class. The vulnerability assessment results will support the regional risk assessment for the ranking of potentially contaminated sites at regional scale.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21723609     DOI: 10.1016/j.envint.2011.05.005

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

Review 1.  Ecosystem Vulnerability Review: Proposal of an Interdisciplinary Ecosystem Assessment Approach.

Authors:  Peter Weißhuhn; Felix Müller; Hubert Wiggering
Journal:  Environ Manage       Date:  2018-03-14       Impact factor: 3.266

2.  Prediction Performance Comparison of Risk Management and Control Mode in Regional Sites Based on Decision Tree and Neural Network.

Authors:  Wenhui Zhu; Jun He; Hongzhen Zhang; Liang Cheng; Xintong Yang; Xiahui Wang; Guohua Ji
Journal:  Front Public Health       Date:  2022-05-26

3.  Development of relative risk model for regional groundwater risk assessment: a case study in the lower Liaohe River Plain, China.

Authors:  Xianbo Li; Rui Zuo; Yanguo Teng; Jinsheng Wang; Bin Wang
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

4.  Criteria for Preliminary Risk Assessment of Brownfield Site: An International Survey of Experts.

Authors:  Charf Mahammedi; Lamine Mahdjoubi; Colin Booth; Russell Bowman; Talib E Butt
Journal:  Environ Manage       Date:  2022-08-04       Impact factor: 3.644

5.  Identification of Major Risk Sources for Surface Water Pollution by Risk Indexes (RI) in the Multi-Provincial Boundary Region of the Taihu Basin, China.

Authors:  Hong Yao; Weixin Li; Xin Qian
Journal:  Int J Environ Res Public Health       Date:  2015-08-21       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.