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Mapping environmental sensitivity: A systematic online approach to support environmental assessment and planning
Author(s)
Date Issued
2017-09-01
Date Available
2025-07-29T14:33:03Z
Abstract
Environmental sensitivity analysis provides a framework for systematically and objectively determining the potential for significant environmental impacts. The higher the natural or acquired sensitivity of the receiving environment, the less capable it is to cope with human-induced change. Given that sensitivity is context- and spatially-specific, Geographic Information Systems have been applied to develop an operational Webtool to analyse it. The Webtool enables a rapid and replicable spatial examination of environmental sensitivities and potential for land-use conflicts that supports Strategic Environmental Assessment and, ultimately, informed planning and decision-making. The novelty is on the provision of an online geoprocessing Widget that enables creation of context-specific maps. Pilot testing the Webtool in land-use and renewable energy planning through stakeholder engagement has validated its applicability. Stakeholders confirmed that it enables replicating and, in some cases, improving in-house SEA mapping processes while saving time and effort. However, its full reliance on publicly available spatial datasets renders completeness and resolution issues. The Webtool provides a critical starting-point for sectoral planning discussions and for developing plan/programme alternatives that avoid or minimise potentially incompatible or unsustainable zonings, while promoting consistency and transparency in impact assessment.
Sponsorship
Environmental Protection Agency
Type of Material
Journal Article
Publisher
Elsevier
Journal
Environmental Impact Assessment Review
Volume
66
Start Page
86
End Page
98
Copyright (Published Version)
2017 Elsevier
Language
English
Status of Item
Peer reviewed
ISSN
0195-9255
This item is made available under a Creative Commons License
File(s)
No Thumbnail Available
Name
EIA Review - ESM - Accepted Manuscript 22May2017.docx
Size
87.94 KB
Format
Microsoft Word XML
Checksum (MD5)
0268167155dae690aeb1a2c5d5f2ecb6
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