Literature DB >> 23247533

An early warning and control system for urban, drinking water quality protection: China's experience.

Dibo Hou1, Xiaoxuan Song, Guangxin Zhang, Hongjian Zhang, Hugo Loaiciga.   

Abstract

An event-driven, urban, drinking water quality early warning and control system (DEWS) is proposed to cope with China's urgent need for protecting its urban drinking water. The DEWS has a web service structure and provides users with water quality monitoring functions, water quality early warning functions, and water quality accident decision-making functions. The DEWS functionality is guided by the principles of control theory and risk assessment as applied to the feedback control of urban water supply systems. The DEWS has been deployed in several large Chinese cities and found to perform well insofar as water quality early warning and emergency decision-making is concerned. This paper describes a DEWS for urban water quality protection that has been developed in China.

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Year:  2012        PMID： 23247533     DOI： 10.1007/s11356-012-1406-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN： 0944-1344            Impact factor:   4.223


  7 in total

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Journal:  Water Res       Date:  2008-12-13       Impact factor: 11.236

3.  Development and application of a water pollution emergency response system for the Three Gorges Reservoir in the Yangtze River, China.

Authors:  Qiang He; Shujuan Peng; Jun Zhai; Haiwen Xiao
Journal:  J Environ Sci (China)       Date:  2011       Impact factor: 5.565

Review 4.  Advances in on-line drinking water quality monitoring and early warning systems.

Authors:  Michael V Storey; Bram van der Gaag; Brendan P Burns
Journal:  Water Res       Date:  2010-09-06       Impact factor: 11.236

5.  A new online monitoring and management system for accidental pollution events developed for the regional water basin in Ningbo, China.

Authors:  Gaosheng Zhang; Linlin Chen; Yuedan Liu; Taesoo Chon; Zongming Ren; Zijian Wang; Jianping Zhao; Yangyong Zhao
Journal:  Water Sci Technol       Date:  2011       Impact factor: 1.915

6.  Biosensors for rapid monitoring of primary-source drinking water using naturally occurring photosynthesis.

Authors:  Miguel Rodriguez; Charlene A Sanders; Elias Greenbaum
Journal:  Biosens Bioelectron       Date:  2002-10       Impact factor: 10.618

7.  Detection of chemical threat agents in drinking water by an early warning real-time biomonitor.

Authors:  U Green; J H Kremer; M Zillmer; C Moldaenke
Journal:  Environ Toxicol       Date:  2003-12       Impact factor: 4.119
  7 in total
  5 in total

1.  A method of detecting contamination events using multiple conventional water quality sensors.

Authors:  Shuming Liu; Han Che; Kate Smith; Chao Chen
Journal:  Environ Monit Assess       Date:  2014-12-03       Impact factor: 2.513

2.  A real-time, dynamic early-warning model based on uncertainty analysis and risk assessment for sudden water pollution accidents.

Authors:  Dibo Hou; Xiaofan Ge; Pingjie Huang; Guangxin Zhang; Hugo Loáiciga
Journal:  Environ Sci Pollut Res Int       Date:  2014-05-01       Impact factor: 4.223

3.  Emergency control system based on the analytical hierarchy process and coordinated development degree model for sudden water pollution accidents in the Middle Route of the South-to-North Water Transfer Project in China.

Authors:  Yan Long; Guobin Xu; Chao Ma; Liang Chen
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-15       Impact factor: 4.223

4.  Multi-dimensional dynamic fuzzy monitoring model for the effect of water pollution treatment.

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Journal:  Environ Monit Assess       Date:  2019-05-08       Impact factor: 2.513

5.  Application of Least-Squares Support Vector Machines for Quantitative Evaluation of Known Contaminant in Water Distribution System Using Online Water Quality Parameters.

Authors:  Kexin Wang; Xiang Wen; Dibo Hou; Dezhan Tu; Naifu Zhu; Pingjie Huang; Guangxin Zhang; Hongjian Zhang
Journal:  Sensors (Basel)       Date:  2018-03-22       Impact factor: 3.576
  5 in total

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