Literature DB >> 27219462

Location and release time identification of pollution point source in river networks based on the Backward Probability Method.

Alireza Ghane1, Mehdi Mazaheri2, Jamal Mohammad Vali Samani3.   

Abstract

The pollution of rivers due to accidental spills is a major threat to environment and human health. To protect river systems from accidental spills, it is essential to introduce a reliable tool for identification process. Backward Probability Method (BPM) is one of the most recommended tools that is able to introduce information related to the prior location and the release time of the pollution. This method was originally developed and employed in groundwater pollution source identification problems. One of the objectives of this study is to apply this method in identifying the pollution source location and release time in surface waters, mainly in rivers. To accomplish this task, a numerical model is developed based on the adjoint analysis. Then the developed model is verified using analytical solution and some real data. The second objective of this study is to extend the method to pollution source identification in river networks. In this regard, a hypothetical test case is considered. In the later simulations, all of the suspected points are identified, using only one backward simulation. The results demonstrated that all suspected points, determined by the BPM could be a possible pollution source. The proposed approach is accurate and computationally efficient and does not need any simplification in river geometry and flow. Due to this simplicity, it is highly recommended for practical purposes.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  Accidental spills; Adjoint model; Backward Probability Method; Pollution source identification; River networks

Mesh:

Substances:

Year:  2016        PMID: 27219462     DOI: 10.1016/j.jenvman.2016.05.015

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Assessment of Groundwater Susceptibility to Non-Point Source Contaminants Using Three-Dimensional Transient Indexes.

Authors:  Yong Zhang; Gary S Weissmann; Graham E Fogg; Bingqing Lu; HongGuang Sun; Chunmiao Zheng
Journal:  Int J Environ Res Public Health       Date:  2018-06-05       Impact factor: 3.390

2.  Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis.

Authors:  Siyoon Kwon; Hyoseob Noh; Il Won Seo; Sung Hyun Jung; Donghae Baek
Journal:  Int J Environ Res Public Health       Date:  2021-01-24       Impact factor: 3.390

  2 in total

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