中文版 | English
Title

An integrated supervision framework to safeguard the urban river water quality supported by ICT and models

Author
Corresponding AuthorJiang, Jiping; Zheng, Yi
Publication Years
2023-04-01
DOI
Source Title
ISSN
0301-4797
EISSN
1095-8630
Volume331
Abstract
Models and information and communication technology (ICT) can assist in the effective supervision of urban receiving water bodies and drainage systems. Single model-based decision tools, e.g., water quality models and the pollution source identification (PSI) method, have been widely reported in this field. However, a systematic pathway for environmental decision support system (EDSS) construction by integrating advanced single tech-niques has rarely been reported, impeding engineering applications. This paper presents an integrated super-vision framework (UrbanWQEWIS) involving monitoring-early warning-source identification-emergency disposal to safeguard the urban water quality, where the data, model, equipment and knowledge are smoothly and logically linked. The generic architecture, all-in-one equipment and three key model components are introduced. A pilot EDSS is developed and deployed in the Maozhou River, China, with the assistance of envi-ronmental Internet of Things (IoT) technology. These key model components are successfully validated via in situ monitoring data and dye tracing experiments. In particular, fluorescence fingerprint-based qualitative PSI and Bayesian-based quantitative PSI methods are effectively coupled, which can largely reduce system costs and enhance flexibility. The presented supervision framework delivers a state-of-the-art management tool in the digital water era. The proposed technical pathway of EDSS development provides a valuable reference for other regions.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
Key Area R&D Program of Guangdong Province in China[2019B110205005] ; National Natural Science Foundation of China[51979136] ; Science, Technology and Innovation Commission of Shenzhen[KCXFZ20201221173603009] ; Innovation Projects (Natural Science) of Guangdong Colleges and Universities[2018KTSCX201]
WOS Research Area
Environmental Sciences & Ecology
WOS Subject
Environmental Sciences
WOS Accession No
WOS:000924963400001
Publisher
ESI Research Field
ENVIRONMENT/ECOLOGY
Scopus EID
2-s2.0-85148772874
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:1
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/479608
DepartmentSchool of Environmental Science and Engineering
Affiliation
1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen 518055, Peoples R China
2.Shenzhen Zhishu Environm Sci & Technol Co Ltd, Shenzhen 518055, Peoples R China
3.Harbin Inst Technol, Sch Environm, Harbin 150090, Peoples R China
4.Power China Ecoenvironm Grp Co Ltd, Shenzhen 518101, Peoples R China
5.ZICT Technol Co Ltd, Shenzhen 518055, Peoples R China
6.Huayue Inst Ecol Environm Engn Co Ltd, Chongqing 401122, Peoples R China
7.Indian Inst Technol, Dept Civil Engn, Kharagpur 721302, West Bengal, India
8.Shenzhen Water Grp Co Ltd, Shenzhen, Peoples R China
First Author AffilicationSchool of Environmental Science and Engineering
Corresponding Author AffilicationSchool of Environmental Science and Engineering
First Author's First AffilicationSchool of Environmental Science and Engineering
Recommended Citation
GB/T 7714
Jiang, Jiping,Men, Yunlei,Pang, Tianrui,et al. An integrated supervision framework to safeguard the urban river water quality supported by ICT and models[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2023,331.
APA
Jiang, Jiping.,Men, Yunlei.,Pang, Tianrui.,Tang, Sijie.,Hou, Zhiqiang.,...&Zheng, Yi.(2023).An integrated supervision framework to safeguard the urban river water quality supported by ICT and models.JOURNAL OF ENVIRONMENTAL MANAGEMENT,331.
MLA
Jiang, Jiping,et al."An integrated supervision framework to safeguard the urban river water quality supported by ICT and models".JOURNAL OF ENVIRONMENTAL MANAGEMENT 331(2023).
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