Determining Vulnerability Importance in Environmental Impact Assessment The case of Colombia

被引:56
|
作者
Toro, Javier [2 ]
Duarte, Oscar [3 ]
Requena, Ignacio [4 ]
Zamorano, Montserrat [1 ]
机构
[1] Univ Granada, Dept Civil Engn, ETS Ingn Caminos Canales & Puertos, E-18071 Granada, Spain
[2] Univ Nacl Colombia, Inst Environm Studies, Bogota, Colombia
[3] Univ Nacl Colombia, Dept Elect & Elect Engn, Bogota, Colombia
[4] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
关键词
Vulnerability; Environmental Impact Assessment; Environmental Impact Process; Colombia; HUMAN-POPULATION DENSITY; CLIMATE-CHANGE; AIR-QUALITY; LAND-USE; SOCIAL VULNERABILITY; CONCEPTUAL-FRAMEWORK; ADAPTIVE CAPACITY; RESILIENCE; SYSTEM; EIA;
D O I
10.1016/j.eiar.2011.06.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The concept of vulnerability has been used to describe the susceptibility of physical, biotic, and social systems to harm or hazard. In this sense, it is a tool that reduces the uncertainties of Environmental Impact Assessment (EIA) since it does not depend exclusively on the value assessments of the evaluator, but rather is based on the environmental state indicators of the site where the projects or activities are being carried out. The concept of vulnerability thus reduces the possibility that evaluators will subjectively interpret results, and be influenced by outside interests and pressures during projects. However, up until now, EIA has been hindered by a lack of effective methods. This research study analyzes the concept of vulnerability, defines Vulnerability Importance and proposes its inclusion in qualitative EIA methodology. The method used to quantify Vulnerability Importance is based on a set of environmental factors and indicators that provide a comprehensive overview of the environmental state. The results obtained in Colombia highlight the usefulness and objectivity of this method since there is a direct relation between this value and the environmental state of the departments analyzed. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:107 / 117
页数:11
相关论文
共 50 条
  • [1] A qualitative method proposal to improve environmental impact assessment
    Toro, Javier
    Requena, Ignacio
    Duarte, Oscar
    Zamorano, Montserrat
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2013, 43 : 9 - 20
  • [2] Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment
    Turconi, Laura
    Luino, Fabio
    Gussoni, Mattia
    Faccini, Francesco
    Giardino, Marco
    Casazza, Marco
    SUSTAINABILITY, 2019, 11 (22)
  • [3] Environmental impact assessment in Colombia: Critical analysis and proposals for improvement
    Toro, Javier
    Requena, Ignacio
    Zamorano, Montserrat
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2010, 30 (04) : 247 - 261
  • [4] Environmental Impact Assessment and the Importance of Environmental Indicators
    Perevochtchikova, Maria
    GESTION Y POLITICA PUBLICA, 2013, 22 (02): : 283 - 312
  • [5] Transportation System Vulnerability Assessment considering Environmental Impact
    Lin, Juanjuan
    Lin, Wangbing
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [6] Ecological vulnerability assessment for ecological conservation and environmental management
    He, Li
    Shen, Jing
    Zhang, Yang
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2018, 206 : 1115 - 1125
  • [7] Longitudinal assessment of climate vulnerability: a case study from the Canadian Arctic
    Lewis Archer
    James D. Ford
    Tristan Pearce
    Slawomir Kowal
    William A. Gough
    Mishak Allurut
    Sustainability Science, 2017, 12 : 15 - 29
  • [8] Longitudinal assessment of climate vulnerability: a case study from the Canadian Arctic
    Archer, Lewis
    Ford, James D.
    Pearce, Tristan
    Kowal, Slawomir
    Gough, William A.
    Allurut, Mishak
    SUSTAINABILITY SCIENCE, 2017, 12 (01) : 15 - 29
  • [9] Assessment of watershed health, vulnerability and resilience for determining protection and restoration Priorities
    Ahn, So-Ra
    Kim, Seong-Joon
    ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 122