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Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment

The evaluation of the importance of having accurate and representative stations in a network for river water quality monitoring is always a matter of concern. The minimal budget and time demands of water quality monitoring programme may appear very attractive, especially when dealing with large-scal...

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Main Authors: Camara, Moriken, Jamil, Nor Rohaizah, Abdullah, Ahmad Fikri, Hashim, Rohasliney, Aliyu, Adamu Gaddafi
Format: Article
Language:English
Published: Elsevier 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88551/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88551/
https://www.sciencedirect.com/science/article/pii/S0048969720333209
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spelling my.upm.eprints.885512021-12-27T01:17:40Z http://psasir.upm.edu.my/id/eprint/88551/ Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment Camara, Moriken Jamil, Nor Rohaizah Abdullah, Ahmad Fikri Hashim, Rohasliney Aliyu, Adamu Gaddafi The evaluation of the importance of having accurate and representative stations in a network for river water quality monitoring is always a matter of concern. The minimal budget and time demands of water quality monitoring programme may appear very attractive, especially when dealing with large-scale river watersheds. This article proposes an improved methodology for optimising water quality monitoring network for present and forthcoming monitoring of water quality under a case study of the Selangor River watershed in Malaysia, where different monitoring networks are being used by water management authorities. Knowing that the lack of financial resources in developing countries like Malaysia is one of the reasons for inadequate monitoring network density, to identify an optimised network for cost-efficiency benefits in this study, a geo-statistical technique coupled Kendall's W was first applied to analyse the performance of each monitoring station in the existing networks under the monitored water quality parameters. Second, the present and future changes in non-point pollution sources were simulated using the integrated Cellular Automata and Markov chain model (CA–Markov). Third, Station Potential Pollution Score (SPPS) determined based on Analytic Hierarchy Process (AHP) was used to weight each station under the changes of non-point pollution sources for 2015, 2024, and 2033 prior to prioritisation. Finally, according to the Kendall's W test on kriging results, the weights of non-point sources from the AHP evaluation and fuzzy membership functions, six most efficient sampling stations were identified to build a robust network for the present and future monitoring of water quality status in the Selangor River watershed. This study proposes a useful approach to the pertinent agencies and management authority concerned to establish appropriate methods for developing an efficient water quality monitoring network for tropical rivers. Elsevier 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88551/1/ABSTRACT.pdf Camara, Moriken and Jamil, Nor Rohaizah and Abdullah, Ahmad Fikri and Hashim, Rohasliney and Aliyu, Adamu Gaddafi (2020) Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment. Science of The Total Environment, 737. art. no. 139800. pp. 1-14. ISSN 0048-9697; ESSN: 1879-1026 https://www.sciencedirect.com/science/article/pii/S0048969720333209 10.1016/j.scitotenv.2020.139800
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The evaluation of the importance of having accurate and representative stations in a network for river water quality monitoring is always a matter of concern. The minimal budget and time demands of water quality monitoring programme may appear very attractive, especially when dealing with large-scale river watersheds. This article proposes an improved methodology for optimising water quality monitoring network for present and forthcoming monitoring of water quality under a case study of the Selangor River watershed in Malaysia, where different monitoring networks are being used by water management authorities. Knowing that the lack of financial resources in developing countries like Malaysia is one of the reasons for inadequate monitoring network density, to identify an optimised network for cost-efficiency benefits in this study, a geo-statistical technique coupled Kendall's W was first applied to analyse the performance of each monitoring station in the existing networks under the monitored water quality parameters. Second, the present and future changes in non-point pollution sources were simulated using the integrated Cellular Automata and Markov chain model (CA–Markov). Third, Station Potential Pollution Score (SPPS) determined based on Analytic Hierarchy Process (AHP) was used to weight each station under the changes of non-point pollution sources for 2015, 2024, and 2033 prior to prioritisation. Finally, according to the Kendall's W test on kriging results, the weights of non-point sources from the AHP evaluation and fuzzy membership functions, six most efficient sampling stations were identified to build a robust network for the present and future monitoring of water quality status in the Selangor River watershed. This study proposes a useful approach to the pertinent agencies and management authority concerned to establish appropriate methods for developing an efficient water quality monitoring network for tropical rivers.
format Article
author Camara, Moriken
Jamil, Nor Rohaizah
Abdullah, Ahmad Fikri
Hashim, Rohasliney
Aliyu, Adamu Gaddafi
spellingShingle Camara, Moriken
Jamil, Nor Rohaizah
Abdullah, Ahmad Fikri
Hashim, Rohasliney
Aliyu, Adamu Gaddafi
Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
author_facet Camara, Moriken
Jamil, Nor Rohaizah
Abdullah, Ahmad Fikri
Hashim, Rohasliney
Aliyu, Adamu Gaddafi
author_sort Camara, Moriken
title Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
title_short Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
title_full Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
title_fullStr Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
title_full_unstemmed Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
title_sort economic and efficiency based optimisation of water quality monitoring network for land use impact assessment
publisher Elsevier
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/88551/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88551/
https://www.sciencedirect.com/science/article/pii/S0048969720333209
_version_ 1720981630864064512
score 13.211869

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