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Advances in pollution source identification in the integrated drainage system

  • Southern University of Science and Technology
  • KWR Watercycle Research Institute
  • Ltd.
  • Harbin Institute of Technology Shenzhen
  • Tongji University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Pollution source identification (PSI) is one of the major businesses of water quality management in integrated drainage systems and has recently received increasing attention. However, a comprehensive overview of PSI methods with the latest advances is lacking from the perspective of integrated drainage systems. This chapter takes drainage systems and receiving water bodies as a whole system and summarizes the principles, advantages, limitations, and applicability of various methods under four PSI categories. It also discusses the advantages and principles of combinations of different types of PSI methods. Finally, four key future directions are identified for researchers and practitioners, outlining strategies to enhance the performance and practicality of source identification methods in the era of environmental Big Data.

Original languageEnglish
Title of host publicationWater Security
Subtitle of host publicationBig Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants
PublisherElsevier
Pages523-536
Number of pages14
ISBN (Electronic)9780443141706
ISBN (Print)9780443141713
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Pollution source identification
  • integrated drainage system
  • monitoring network design
  • numerical inversion
  • smart city
  • water quality

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