Literature DB >> 29653406

Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using 'risk cells'.

Ata Allah Nadiri1, Sina Sadeghfam2, Maryam Gharekhani3, Rahman Khatibi4, Elham Akbari5.   

Abstract

Proof-of-concept is presented in this paper to a methodology formulated for indexing risks to groundwater aquifers exposed to impacts of diffuse contaminations from anthropogenic and geogenic origins. The methodology is for mapping/indexing, which refers to relative values but not their absolute values. The innovations include: (i) making use of the Origins-Source-Pathways-Receptors-Consequences (OSPRC) framework; and (ii) dividing a study area into modular Risk (OSPRC) Cells to capture their idiosyncrasies with different origins. Field measurements are often sparse and comprise pollutants and water table, which are often costly; whereas supplementary data are general-purpose data, which are widely available. Risk mapping for each OSPRC cell is processed by dividing a study area into pixels and for each pixel, the risk from both anthropogenic and geogenic origins are indexed by using algorithms related to: (i) Vulnerability Indices (VI), which identify the potential for risk exposures at each pixel; and (ii) velocity gradient, which expresses the potency to risk exposures across the risk cell. The paper uses DRASTIC for anthropogenic VI but introduces a new framework for geogenic VI. The methodology has a generic architecture and is flexible to modularise risks involving any idiosyncrasies in a generic way in any site exposed to environmental pollution risks. Its application to a real study area provides evidence for the proof-of-concept for the methodology by a set of results that are fit-for-purpose and provides an insight into the study area together with the identification of its hotspots.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Aquifer risk indexing; DRASTIC; Frameworks: OSPRC; Risk indexing

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Substances:

Year:  2018        PMID: 29653406     DOI: 10.1016/j.jenvman.2018.04.011

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Multi-criteria decision model for assessing groundwater pollution risk in the urban-rural interface of Mar del Plata City (Argentina).

Authors:  M Lourdes Lima; Asunción Romanelli; Gabriela Calderon; Héctor E Massone
Journal:  Environ Monit Assess       Date:  2019-05-04       Impact factor: 2.513

2.  Investigating meteorological/groundwater droughts by copula to study anthropogenic impacts.

Authors:  Sina Sadeghfam; Rasa Mirahmadi; Rahman Khatibi; Rasoul Mirabbasi; Ata Allah Nadiri
Journal:  Sci Rep       Date:  2022-05-18       Impact factor: 4.996

  2 in total

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