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A Gateway to Rapid Prediction of Water Quality: A Case Study in China’s South-to-North Water Diversion Project
- Source :
- Water, Vol 13, Iss 2407, p 2407 (2021), Water, Volume 13, Issue 17
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Water quality assurance is the primary factor for the successful operation of water diversion projects across river basins. The rapid prediction of water pollution is the basis for timely and effective emergency control and disposal measures. In China, since the open channels intersect with numerous waterways and traffic arteries, water transfer projects are prone to sudden water pollution accidents. In this paper, the rapid prediction method was developed for sudden water pollution accidents that possibly occurred in the East Route of the South-to-North Water Diversion Project (ERP) in Shandong Province. With the empirical formula of the pollution transfer law, a rapid prediction model of water quality (WQRP) was established based on the simulation of the typical accidents in the main channel. Finally, four typical accidents were selected as application examples, and the prediction results were compared with the results from a computer numerical simulation to demonstrate the validity of the model. The results showed that the prediction results by the WQRP model meet the accuracy requirements. This method is of great significance for providing water transport security in the extreme conditions of long-distance water transfer projects.
- Subjects :
- Pollution
media_common.quotation_subject
Geography, Planning and Development
Drainage basin
sudden water pollution accidents
Aquatic Science
Biochemistry
water quality prediction
Default gateway
Water pollution
China
TD201-500
Water Science and Technology
media_common
geography
geography.geographical_feature_category
Water transport
Water supply for domestic and industrial purposes
Hydraulic engineering
east route of south-to-north water diversion project
Water diversion
numerical simulation
Environmental science
Water quality
Water resource management
TC1-978
Subjects
Details
- Language :
- English
- ISSN :
- 20734441
- Volume :
- 13
- Issue :
- 2407
- Database :
- OpenAIRE
- Journal :
- Water
- Accession number :
- edsair.doi.dedup.....53b371f30b0b9d60d3e712413cdb6648