CONSTRUCTION AND APPLICATION OF CLOUD TRACEABILITY SYSTEM FOR SUDDEN WATER POLLUTION IN RIVER BASIN

被引:0
|
作者
Peng H. [1 ]
Zhou W. [1 ]
Zhang W. [2 ]
Xia H. [2 ]
Zhang X. [2 ]
Wang H. [3 ]
机构
[1] School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan
[2] School of Resourcc and Environmental Sciences, Wuhan University, Wuhan
[3] State Key Laboratory of Simulation and Regulation of Water Cycle CV River Basin, China Institute of Water Resources and Hyyropofer Research, Beijing
关键词
Cloud-edge-terminal collaboration architecture; Hydrodynamic water quality prediction; Scenario database; Source-quality response; Sudden water pollution; Water pollution source identification;
D O I
10.3880/j.issn.1004-6933.2022.01.023
中图分类号
学科分类号
摘要
pollution process of downstream monitoring section are 0. 91 and 0. 87 respectively, and for class 2 pollution process are 0. 84 and 0. 95 respectively. It indicates that enterprises A and B are possible accident sources, and the source of class 1 pollution process is more likely to be enterprise A, and the source of class 2 pollution process is more likely to be enterprise B.; In order to quickly realize the traceability of sudden water pollution in river basin, a cloud source identification system in river basin based on the cloud-edge-terminal collaboration architecture was constructed. By comparing the two-dimensional hydrodynamic water quality prediction results of tlie whole basin in the cloud with the water quality monitoring data of the terminal in real-time, sudden water pollution accidents could be identified. After the accident warning, rapid water quality simulation of multi pollution scenario in accident area was conducted at the edge end to form a scenario database based on source-quality response. By comparing and analyzing the process fitting degree of monitoring information and pollution scenario simulation sequence, the scope of pollution source screening was determined. The method was applied to the source identification of sudden water pollution in Chongqing section of the Yangtze Rver. The results show that under a certain pollution scenario, the Nash-Sutcliffe efficiency coefficient of pollutant discharge enterprises A and B for class 1. © 2022, Editorial Board of Water Resources Protection. All rights reserved.
引用
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页码:176 / 181
页数:5
相关论文
共 14 条
  • [1] XIAO Xiaoyu, Statistical review of major environmental accidents at home in the period from 2012 to 2017 [j], Guangzhou Chemical Industry, 46, 15, pp. 134-136, (2018)
  • [2] XU Jing, WANG Yonggui, CHEN Yan, Et al., Spatial distrilDution and temporal variation of sudden water pollution incidents in China [J], China Environmental Science, 38, 12, pp. 4566-4575, (2018)
  • [3] WANG Zhonghui, GONG Li, KANG Chuntao, Et al., Sudden river water contamination source identification based on BAS algorithm[J], Water Resources Protection, 36, 5, pp. 87-92, (2020)
  • [4] WU W, REN J, ZHOU X, Et al., Identification of source information for sudden water pollution incidents in rivers and lakes based on variable-fidelity surrogate-DREAM optimization, Environmental Modeling and Software, 133, 6, (2020)
  • [5] WANG J, ZHAO J, LEI X, Et al., New approach for point pollution source identification in rivers based on the backward probability method [J], Environmental Pollution, 241, pp. 759-774, (2018)
  • [6] AYVAZ M T., A hybrid simulation: Optimization approach for solving the areal groundwater pollution source identification problems [J], Journal of Hydrolog, 538, pp. 161-176, (2016)
  • [7] CHEN Yuanhua, WANG Peng, JIANG Jiping, Et al., Contaminant point source identification of rivers chemical spills based on correlation coefficients optimization method [J], China Environmental Science, 31, 11, pp. 1802-1807, (2011)
  • [8] CHEN Zhengxia, DING Yi, MAO Xuhui, Et al., Source identification of accidental water pollution in a tidal river network based on a water environment model and database, Journal of Tsinghua University (Science and Technolog), 57, 11, pp. 1170-1178, (2017)
  • [9] CHAKRABORTY A, PRAKASH O., Identification of clandestine groundwater pollution source locations and their release flux history[J], IOP Conference Series:Earth and Environmental Sciencc, 626, 1, (2021)
  • [10] WEI G, CHI Z, YU L, Et al., Source identification of sudden contamination based on the parameter uncertainty analysis [J], Journal of Hydroinformatics, 18, 6, pp. 919-927, (2016)