System-Based Assessments-Improving the Confidence in the EIA Process

Autor: Jean-Marc Guarini, Shawn Hinz, Jennifer Coston-Guarini, Camille Mazé, Jeff Wilson, Laurent Chauvaud
Přispěvatelé: Laboratoire d'Ecogéochimie des environnements benthiques (LECOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University [Belgium] (UGENT), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), ANR-10-LABX-0019,LabexMER,LabexMER Marine Excellence Research: a changing ocean(2010), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO), Universiteit Gent = Ghent University (UGENT), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
COUNTRIES
Technology and Engineering
baseline survey
Standardization
Computer science
Process (engineering)
0211 other engineering and technologies
Context (language use)
02 engineering and technology
environmental impact assessment
ecosystem modeling
hydrodynamic modeling
ecosystem-based environmental assessment
environmental sensing technology
010501 environmental sciences
01 natural sciences
lcsh:TD1-1066
Ecosystem model
Economic cost
11. Sustainability
Environmental impact assessment
lcsh:Environmental technology. Sanitary engineering
NIGERIA
Baseline (configuration management)
Ecology
Evolution
Behavior and Systematics

0105 earth and related environmental sciences
General Environmental Science
Sustainable development
Renewable Energy
Sustainability and the Environment

Biology and Life Sciences
021107 urban & regional planning
ENVIRONMENTAL-IMPACT ASSESSMENT
SCIENCE
FRAMEWORK
Risk analysis (engineering)
13. Climate action
Earth and Environmental Sciences
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Zdroj: Environments
Environments, MDPI, 2017, 4 (4), pp.95. ⟨10.3390/environments4040095⟩
Environments; Volume 4; Issue 4; Pages: 95
ENVIRONMENTS
Environments (2076-3298) (Mdpi Ag), 2017-12, Vol. 4, N. 4, P. 95 (1-19)
Environments, Vol 4, Iss 4, p 95 (2017)
Environments, 2017, 4 (4), pp.95. ⟨10.3390/environments4040095⟩
ISSN: 2076-3298
Popis: WOS:000419146600029; International audience; This viewpoint article examines Environmental Impact Assessment (EIA) practices in developed and transitioning nations, identifies weaknesses, and proposes a new quantitative approach. The literature indicates that there exists little to no standardization in EIA practice, transitioning nations rely on weak scientific impact analyses, and the establishment of baseline conditions is generally missing. The more fundamental issue is that the "receptor"- based approach leads to a qualitative and subjective EIA, as it does not adequately integrate the full measure of the complexity of ecosystems, ongoing project risks, and cumulative impacts. We propose the application of a new framework that aims to ensure full life cycle assessment of impacts applicable to any EIA process, within any jurisdictional context. System-Based EIA (SBEIA) is based on modeling to predict changes and rests on data analysis with a statistically rigorous approach to assess impacts. This global approach uses technologies and methodologies that are typically applied to characterize ecosystem structure and functioning, including remote sensing, modeling, and in situ monitoring. The aim of this approach is to provide a method that can produce quantifiable reproducible values of impact and risk and move EIA towards its substantive goal of sustainable development. The adoption of this approach would provide a better evaluation of economic costs and benefits for all stakeholders.
Databáze: OpenAIRE