Crucial time of emergency monitoring for reliable numerical pollution source identification

Yang, Ruiyi1; Jiang, Jiping1,2; Pang, Tianrui3; Yang, Zhonghua4; Han, Feng1; Li, Hailong1; Wang, Hongjie5; Zheng, Yi1

2024-11-01

10.1016/j.watres.2024.122303

WATER RESEARCH   影响因子和分区

0043-1354

1879-2448

The Pollution source identification (PSI) is an important issue on river water quality management especially for urban receiving water. Numerical inversion method is theoretically an effective PSI technique, which employs monitored downstream pollutant breakthrough curves to identify the pollution source. In practice, it is important to know how much monitoring data should be accumulated to provide PSI results with acceptable accuracy and uncertainty. However, no literature reports on this key point and it seriously handers the numerical PSI technology to mature practical applications. To seek a monitoring guideline for PSI, we conducted extensively numerical experiments for single-point source instantaneous release taking Bayesian-MCMC method as the baseline inversion technique. The crucial time (Tc) phenomenon was found during the data accumulation process for Bayesian source inversion. After Tc, estimated source parameters subsequent sustained low error levels and uncertainty convergence. Results shown the presence of Tc impacted by the number and location of monitoring sections, while monitoring frequency and data error do not. Under different river hydrodynamic conditions, relative crucial time (Lambda) is determined by the river's Peclet number, and minimum effective Lambda was controlled by dispersion coefficient (Dx). Analytic spatial structure of Lambda(U, Dx) was uncovered and this relationship successfully explained by the information entropy theory. Based on these findings, a novel design method of PSI emergency monitoring network for preparedness plan and a practical framework of PSI for emergency response were established. These findings fill the important knowledge gap in PSI applications and the guidelines provide valuable references for river water quality management.

Chemical spill Crucial time Emergency monitoring data Information entropy Peclet number Pollution source identification

SCI

英语

第一 ; 通讯

National Natural Science Foundation of China[51979136] ; Science, Technology and Innovation Commission of Shenzhen[KCXFZ20201221173603009] ; Special Projects in Key Areas of Guangdong General Colleges and Universities[2023ZDZX4050]

Engineering ; Environmental Sciences & Ecology ; Water Resources

Engineering, Environmental ; Environmental Sciences ; Water Resources

WOS:001307864300001

PERGAMON-ELSEVIER SCIENCE LTD

Web of Science

1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
2.KWR Water Res Inst, NL-3433 PE Nieuwegein, Netherlands
3.Harbin Inst Technol, Sch Environm, Harbin 150090, Peoples R China
4.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China
5.Harbin Inst Technol Shenzhen, Sch Civil & Environm Engn, Shenzhen 518055, Peoples R China

Yang, Ruiyi,Jiang, Jiping,Pang, Tianrui,et al. Crucial time of emergency monitoring for reliable numerical pollution source identification[J]. WATER RESEARCH,2024,265.

Yang, Ruiyi.,Jiang, Jiping.,Pang, Tianrui.,Yang, Zhonghua.,Han, Feng.,...&Zheng, Yi.(2024).Crucial time of emergency monitoring for reliable numerical pollution source identification.WATER RESEARCH,265.

Yang, Ruiyi,et al."Crucial time of emergency monitoring for reliable numerical pollution source identification".WATER RESEARCH 265(2024).