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Abstract
The site selection for Low Impact Development (LID) practices is a significant process. It affects the effectiveness of LID in controlling stormwater surface runoff, volume, flow rate, and infiltration. This research paper presents a comprehensive review of various methods used for LID site selection. It starts by introducing different methods and tools. Three main methods: index-based methods, GIS-based multi-criteria decision analysis (MCDA), and multi-criteria models and tools, are discussed in detail. A comparative analysis of these methods is then conducted based on ten different criteria. These criteria include the number of variables, data properties, the scale of analysis, benefits maximization approach, multi-attribute decision analysis, user-friendliness, community and stakeholder participation, and the validation methods. This comparison reveals limitations in each method. These include inadequate data availability and quality, lack of evaluation methods, comprehensive assessment criteria and spatial explicitness. These challenges underscore the need for future research to prioritize spatial clarity, broaden criteria, improve data quality through standardization, incorporate field visits and remote sensing for robust results, integrate big data, and develop web-based, open-source tools for enhanced accessibility. These key strategies provide valuable insights for advancing LID site selection methods.
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Authors (4)
-
Andaleeb Yaseen
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Rana Waqar Aslam
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.jenvman.2024.120212
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
JOURNAL OF ENVIRONMENTAL MANAGEMENT
no. 354,
ISSN: 0301-4797 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Gulshad K., Szydłowski M., Yaseen A., Aslam R. W.: A comparative analysis of methods and tools for low impact development (LID) site selection// JOURNAL OF ENVIRONMENTAL MANAGEMENT -, (2024), s.120212-
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.jenvman.2024.120212
- Sources of funding:
-
- IDUB
- Verified by:
- Gdańsk University of Technology
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