Your browser doesn't support javascript.
loading
An integrated supervision framework to safeguard the urban river water quality supported by ICT and models.
Jiang, Jiping; Men, Yunlei; Pang, Tianrui; Tang, Sijie; Hou, Zhiqiang; Luo, Meiyu; Sun, Xiaoling; Wu, Jinfu; Yadav, Soumya; Xiong, Ye; Liu, Chongxuan; Zheng, Yi.
Afiliação
  • Jiang J; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. Electronic address: jiangjp@sustech.edu.cn.
  • Men Y; Shenzhen Zhishu Environmental Science and Technology Co. Ltd., Shenzhen, 518055, China. Electronic address: yunlei_men@outlook.com.
  • Pang T; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; School of Environment, Harbin Institute of Technology, Harbin, 150090, China. Electronic address: ptrhit@qq.c
  • Tang S; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. Electronic address: tsj9696@foxmail.com.
  • Hou Z; Power China Eco-Environmental Group Co. Ltd., Shenzhen, 518101, China. Electronic address: zhiqiangcn@163.com.
  • Luo M; Shenzhen Zhishu Environmental Science and Technology Co. Ltd., Shenzhen, 518055, China. Electronic address: luomy@zsest.cn.
  • Sun X; ZICT Technology Co., Ltd., Shenzhen, 518055, China. Electronic address: sun.xiaoling1@zwxict.com.
  • Wu J; Huayue Institute of Ecological Environment Engineering Co. Ltd., Chongqing, 401122, China. Electronic address: 875066907@qq.com.
  • Yadav S; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Department of Civil Engineering, Indian Institute of Technology, Kharagpur, West Bengal, 721302, India. Elect
  • Xiong Y; Shenzhen Water Group Co., Ltd., Shenzhen, 158000, China. Electronic address: 525777876@qq.com.
  • Liu C; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. Electronic address: liucx@sustech.edu.cn.
  • Zheng Y; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. Electronic address: zhengy@sustech.edu.cn.
J Environ Manage ; 331: 117245, 2023 Apr 01.
Article em En | MEDLINE | ID: mdl-36681034
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 techniques has rarely been reported, impeding engineering applications. This paper presents an integrated supervision 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 environmental 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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade da Água / Rios Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade da Água / Rios Idioma: En Ano de publicação: 2023 Tipo de documento: Article