A comprehensive review of spatial allocation of LID-BMP-GI practices: Strategies and optimization tools

Kun Zhang, Ting Fong May Chui

Research output: Contribution to journalReview articlepeer-review

159 Scopus citations

Abstract

Low-impact development (LID), best management practice (BMP), and green infrastructure (GI) are semi-engineered stormwater management practices that have been widely studied and implemented worldwide. Implemented in the complex environment of urban areas, LID-BMP-GI practices often intertwine with a very large number of hydro-environmental and socio-economic considerations and constraints. Therefore, they need to be carefully selected, designed, and allocated within an urban area. Both planning and optimization can lead to more systematic and strategic approaches to address this multi-scale, multi-parameter problem of practice allocation. In this review, we first identify the main components of the strategic planning cycle, their scope and inter-relationships, and their corresponding mathematical representations. We then present a comprehensive review of the existing literature on spatial allocation optimization tools (SAOTs) for LID-BMP-GI practices and summarize the generic structure and the systematic typology of the existing SAOTs. We conclude with a discussion of several current research gaps in the spatial allocation of LID-BMP-GI practices. In this review, we aim to summarize the strategies and optimization tools for the spatial allocation of LID-BMP-GI practices that are beneficial to practitioners. The other aim is to provide recommendations for future research on the development of more advanced and comprehensive SAOTs.

Original languageEnglish (US)
Pages (from-to)915-929
Number of pages15
JournalScience of the Total Environment
Volume621
DOIs
StatePublished - Apr 15 2018
Externally publishedYes

Bibliographical note

Funding Information:
This work was funded by the Seed Funding Program for Basic Research of The University of Hong Kong (project code: 201611159011 ). The authors are grateful to the two anonymous reviewers for their insightful and helpful comments.

Funding Information:
This work was funded by the Seed Funding Program for Basic Research of The University of Hong Kong (project code: 201611159011). The authors are grateful to the two anonymous reviewers for their insightful and helpful comments.

Publisher Copyright:
© 2017 Elsevier B.V.

Keywords

  • Best management practice (BMP)
  • Green infrastructure (GI)
  • Low-impact development (LID)
  • Spatial allocation optimization tool (SAOT)
  • Stormwater management
  • Urban planning

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