Inversion of multiple parameters for river pollution accidents using emergency monitoring data-Reference-Cited by-同舟云学术

Inversion of multiple parameters for river pollution accidents using emergency monitoring data

Published:2019-04-04 Issue:8 Volume:91 Page:731-738
ISSN:1061-4303
Container-title:Water Environment Research
language:en
Short-container-title:Water Environment Research

Author:

Jing Pingfei¹,Yang Zhonghua¹^ORCID,Zhou Wugang¹,Huai Wenxin¹,Lu Xinhua¹

Affiliation:

1. State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Wuhan Hubei China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Water Science and Technology,Ecological Modelling,Waste Management and Disposal,Pollution,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wer.1099

Reference26 articles.

1. Support vector machine approach for longitudinal dispersion coefficients in natural streams

2. Source identification in river pollution problems: A geostatistical approach

3. Contaminant point source identification of rivers chemical spills based on correlation coefficients optimization method;Chen Y.;China Environmental Science,2011

4. Identification of contaminant point source in surface waters based on backward location probability density function method

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis;Environmental Pollution;2024-04

2. Water quality emergency monitoring networks: A method for identifying non-critical variables based on Shannon's entropy;Journal of Hydroinformatics;2024-03-01

3. A Computational Tool to Track Sewage Flow Discharge into Rivers Based on Coupled HEC-RAS and DREAM;Water;2023-12-22

4. Application of Continuous Time Link Prediction in Traceability of Water Environment Pollution;2023 12th International Conference of Information and Communication Technology (ICTech);2023-04

5. Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov chain Monte Carlo algorithm;Frontiers of Environmental Science & Engineering;2023-01-30