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Surface Water Pollution Source Identification and Quantification: Literature Review

Received: 24 April 2023    Accepted: 10 July 2023    Published: 20 July 2023
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Abstract

Surface waters are important natural resources and widely used for different purpose in human life such as agriculture, industry, municipal services and so on. Using surface water at high rate led to increasing of their pollution and scarcity. This pollution is mainly human made, in some case anthropogenic. Recognizing this problem currently, water pollution source identification and quantification is an active research area. The main objective of this review is to identify different pollution factors of surface water, approaches and methods used by different researchers for identification and quantification this pollution sources. There is different pollution factors surface water such as: heavy metal, micro plastic, nutrients like Nitrogen and phosphorus, waterborne pathogenic microbes, and petroleum hydrocarbons. Different pollution identification and quantification methods were used in different literature based on objectives and scopes of the studies. This include: Inverse Methods, Bayesian Inference, an Innovative Biosensor Network, Differential Evolution (DE) optimization algorithm, Combining Differential Evolution Algorithm (DEA) and Metropolis– Hastings–Markov Chain Monte Carlo (MH–MCMC), Field Observation and Laboratory Analysis, and Multivariate Receptor Model.

Published in American Journal of Water Science and Engineering (Volume 9, Issue 3)
DOI 10.11648/j.ajwse.20230903.11
Page(s) 50-57
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Surface Waters, Pollution Source, Identification and Quantification

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Cite This Article
  • APA Style

    Mohammedsalih Kadir Gobana, Alemayehu Haddis, Dessalegn Dadi. (2023). Surface Water Pollution Source Identification and Quantification: Literature Review. American Journal of Water Science and Engineering, 9(3), 50-57. https://doi.org/10.11648/j.ajwse.20230903.11

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    ACS Style

    Mohammedsalih Kadir Gobana; Alemayehu Haddis; Dessalegn Dadi. Surface Water Pollution Source Identification and Quantification: Literature Review. Am. J. Water Sci. Eng. 2023, 9(3), 50-57. doi: 10.11648/j.ajwse.20230903.11

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    AMA Style

    Mohammedsalih Kadir Gobana, Alemayehu Haddis, Dessalegn Dadi. Surface Water Pollution Source Identification and Quantification: Literature Review. Am J Water Sci Eng. 2023;9(3):50-57. doi: 10.11648/j.ajwse.20230903.11

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  • @article{10.11648/j.ajwse.20230903.11,
      author = {Mohammedsalih Kadir Gobana and Alemayehu Haddis and Dessalegn Dadi},
      title = {Surface Water Pollution Source Identification and Quantification: Literature Review},
      journal = {American Journal of Water Science and Engineering},
      volume = {9},
      number = {3},
      pages = {50-57},
      doi = {10.11648/j.ajwse.20230903.11},
      url = {https://doi.org/10.11648/j.ajwse.20230903.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20230903.11},
      abstract = {Surface waters are important natural resources and widely used for different purpose in human life such as agriculture, industry, municipal services and so on. Using surface water at high rate led to increasing of their pollution and scarcity. This pollution is mainly human made, in some case anthropogenic. Recognizing this problem currently, water pollution source identification and quantification is an active research area. The main objective of this review is to identify different pollution factors of surface water, approaches and methods used by different researchers for identification and quantification this pollution sources. There is different pollution factors surface water such as: heavy metal, micro plastic, nutrients like Nitrogen and phosphorus, waterborne pathogenic microbes, and petroleum hydrocarbons. Different pollution identification and quantification methods were used in different literature based on objectives and scopes of the studies. This include: Inverse Methods, Bayesian Inference, an Innovative Biosensor Network, Differential Evolution (DE) optimization algorithm, Combining Differential Evolution Algorithm (DEA) and Metropolis– Hastings–Markov Chain Monte Carlo (MH–MCMC), Field Observation and Laboratory Analysis, and Multivariate Receptor Model.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Surface Water Pollution Source Identification and Quantification: Literature Review
    AU  - Mohammedsalih Kadir Gobana
    AU  - Alemayehu Haddis
    AU  - Dessalegn Dadi
    Y1  - 2023/07/20
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ajwse.20230903.11
    DO  - 10.11648/j.ajwse.20230903.11
    T2  - American Journal of Water Science and Engineering
    JF  - American Journal of Water Science and Engineering
    JO  - American Journal of Water Science and Engineering
    SP  - 50
    EP  - 57
    PB  - Science Publishing Group
    SN  - 2575-1875
    UR  - https://doi.org/10.11648/j.ajwse.20230903.11
    AB  - Surface waters are important natural resources and widely used for different purpose in human life such as agriculture, industry, municipal services and so on. Using surface water at high rate led to increasing of their pollution and scarcity. This pollution is mainly human made, in some case anthropogenic. Recognizing this problem currently, water pollution source identification and quantification is an active research area. The main objective of this review is to identify different pollution factors of surface water, approaches and methods used by different researchers for identification and quantification this pollution sources. There is different pollution factors surface water such as: heavy metal, micro plastic, nutrients like Nitrogen and phosphorus, waterborne pathogenic microbes, and petroleum hydrocarbons. Different pollution identification and quantification methods were used in different literature based on objectives and scopes of the studies. This include: Inverse Methods, Bayesian Inference, an Innovative Biosensor Network, Differential Evolution (DE) optimization algorithm, Combining Differential Evolution Algorithm (DEA) and Metropolis– Hastings–Markov Chain Monte Carlo (MH–MCMC), Field Observation and Laboratory Analysis, and Multivariate Receptor Model.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Department of Environmental Health Sciences and Technology, Jimma University, Jimma, Ethiopia

  • Department of Environmental Health Sciences and Technology, Jimma University, Jimma, Ethiopia

  • Department of Environmental Health Sciences and Technology, Jimma University, Jimma, Ethiopia

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