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

Jiang, Jiping1; Men, Yunlei2; Pang, Tianrui1,3; Tang, Sijie1; Hou, Zhiqiang4; Luo, Meiyu2; Sun, Xiaolin5; Wu, Jinfu6; Yadav, Soumya1,7; Xiong, Ye8; Liu, Chongxuan1; Zheng, Yi1

2023-04-01

10.1016/j.jenvman.2023.117245

JOURNAL OF ENVIRONMENTAL MANAGEMENT   影响因子和分区

0301-4797

1095-8630

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.

Anomaly detection Data -driven model Drainage system Early warning Pollution source identification Urban water environment Water quality Smart city

SCI ; EI

英语

第一 ; 通讯

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]

Environmental Sciences & Ecology

Environmental Sciences

WOS:000924963400001

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

20233314540641

Anomaly detection ; Artificial intelligence ; Decision support systems ; Drainage ; Environmental technology ; Internet of things ; River pollution ; Smart city

Water Analysis:445.2 ; Water Pollution:453 ; Environmental Engineering:454 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Artificial Intelligence:723.4 ; Management:912.2

ENVIRONMENT/ECOLOGY

2-s2.0-85148772874

Web of Science

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

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.

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.

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).