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A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions

Research output: Contribution to journalArticle

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A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions. / Alilou, Hossein; Moghaddam Nia, Alireza; Saravi, Mohsen Mohseni; salajegheh, ali; Han, Dawei; Bakhtiarienayat, Bahram.

In: Journal of Hydrology, Vol. 573, 01.06.2019, p. 109-122.

Research output: Contribution to journalArticle

Harvard

Alilou, H, Moghaddam Nia, A, Saravi, MM, salajegheh, A, Han, D & Bakhtiarienayat, B 2019, 'A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions' Journal of Hydrology, vol. 573, pp. 109-122. https://doi.org/10.1016/j.jhydrol.2019.03.068

APA

Alilou, H., Moghaddam Nia, A., Saravi, M. M., salajegheh, A., Han, D., & Bakhtiarienayat, B. (2019). A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions. Journal of Hydrology, 573, 109-122. https://doi.org/10.1016/j.jhydrol.2019.03.068

Vancouver

Alilou H, Moghaddam Nia A, Saravi MM, salajegheh A, Han D, Bakhtiarienayat B. A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions. Journal of Hydrology. 2019 Jun 1;573:109-122. https://doi.org/10.1016/j.jhydrol.2019.03.068

Author

Alilou, Hossein ; Moghaddam Nia, Alireza ; Saravi, Mohsen Mohseni ; salajegheh, ali ; Han, Dawei ; Bakhtiarienayat, Bahram. / A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions. In: Journal of Hydrology. 2019 ; Vol. 573. pp. 109-122.

Bibtex

@article{b0c1f43012b7433a9ce2d02c41c50582,
title = "A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions",
abstract = "In order to rationalize a surface water quality monitoring network (WQMN), it is critical to appropriately design surface water quality sampling locations. This is due to high installation, operational, and maintenance costs for each sampling representative of the whole water system conditions. The main objective of this study was to propose an integrated method to determine the most appropriate sampling points in the Khoy watershed northwest of Iran, where financial resources and water quality data are limited. Multi criteria evaluation method including analytic network process (ANP) and Fuzzy logic were incorporated in River Mixing Length (RML) procedure in order to identify exact locations of sampling points. Based on RML procedure, 15 candidate sampling points were identified to suitably select sampling points based on budget deficiency. Relative weights for 12 criteria and 10 sub-criteria related to non-point sources and surficial rocks as well as criteria of topography were then calculated by the ANP method. According to the obtained results, a new total potential pollution score (TPPS) was presented to prioritize 15 candidate sampling points. Then, the values of TPPS were classified and fuzzified to distinguish real differences between scores. Based on current monitoring stations and budget deficiency, the hierarchy value, and Fuzzy rank, six points are proposed as the most appropriate locations for surface water quality monitoring. Furthermore, four points are identified as the second most appropriate for enhancing a robust WQMN in the study area in order for an expansion plan in the future. The results of this study should be valuable for water quality monitoring agencies looking for a cost-effective approach for selecting exact sampling locations.",
keywords = "ANP, Fuzzy logic, Mixing length procedure, Siting sampling locations, TPPS, Water quality monitoring network",
author = "Hossein Alilou and {Moghaddam Nia}, Alireza and Saravi, {Mohsen Mohseni} and ali salajegheh and Dawei Han and Bahram Bakhtiarienayat",
year = "2019",
month = "6",
day = "1",
doi = "10.1016/j.jhydrol.2019.03.068",
language = "English",
volume = "573",
pages = "109--122",
journal = "Journal of Hydrology",
issn = "0022-1694",
publisher = "Elsevier",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions

AU - Alilou, Hossein

AU - Moghaddam Nia, Alireza

AU - Saravi, Mohsen Mohseni

AU - salajegheh, ali

AU - Han, Dawei

AU - Bakhtiarienayat, Bahram

PY - 2019/6/1

Y1 - 2019/6/1

N2 - In order to rationalize a surface water quality monitoring network (WQMN), it is critical to appropriately design surface water quality sampling locations. This is due to high installation, operational, and maintenance costs for each sampling representative of the whole water system conditions. The main objective of this study was to propose an integrated method to determine the most appropriate sampling points in the Khoy watershed northwest of Iran, where financial resources and water quality data are limited. Multi criteria evaluation method including analytic network process (ANP) and Fuzzy logic were incorporated in River Mixing Length (RML) procedure in order to identify exact locations of sampling points. Based on RML procedure, 15 candidate sampling points were identified to suitably select sampling points based on budget deficiency. Relative weights for 12 criteria and 10 sub-criteria related to non-point sources and surficial rocks as well as criteria of topography were then calculated by the ANP method. According to the obtained results, a new total potential pollution score (TPPS) was presented to prioritize 15 candidate sampling points. Then, the values of TPPS were classified and fuzzified to distinguish real differences between scores. Based on current monitoring stations and budget deficiency, the hierarchy value, and Fuzzy rank, six points are proposed as the most appropriate locations for surface water quality monitoring. Furthermore, four points are identified as the second most appropriate for enhancing a robust WQMN in the study area in order for an expansion plan in the future. The results of this study should be valuable for water quality monitoring agencies looking for a cost-effective approach for selecting exact sampling locations.

AB - In order to rationalize a surface water quality monitoring network (WQMN), it is critical to appropriately design surface water quality sampling locations. This is due to high installation, operational, and maintenance costs for each sampling representative of the whole water system conditions. The main objective of this study was to propose an integrated method to determine the most appropriate sampling points in the Khoy watershed northwest of Iran, where financial resources and water quality data are limited. Multi criteria evaluation method including analytic network process (ANP) and Fuzzy logic were incorporated in River Mixing Length (RML) procedure in order to identify exact locations of sampling points. Based on RML procedure, 15 candidate sampling points were identified to suitably select sampling points based on budget deficiency. Relative weights for 12 criteria and 10 sub-criteria related to non-point sources and surficial rocks as well as criteria of topography were then calculated by the ANP method. According to the obtained results, a new total potential pollution score (TPPS) was presented to prioritize 15 candidate sampling points. Then, the values of TPPS were classified and fuzzified to distinguish real differences between scores. Based on current monitoring stations and budget deficiency, the hierarchy value, and Fuzzy rank, six points are proposed as the most appropriate locations for surface water quality monitoring. Furthermore, four points are identified as the second most appropriate for enhancing a robust WQMN in the study area in order for an expansion plan in the future. The results of this study should be valuable for water quality monitoring agencies looking for a cost-effective approach for selecting exact sampling locations.

KW - ANP

KW - Fuzzy logic

KW - Mixing length procedure

KW - Siting sampling locations

KW - TPPS

KW - Water quality monitoring network

UR - http://www.scopus.com/inward/record.url?scp=85063393674&partnerID=8YFLogxK

U2 - 10.1016/j.jhydrol.2019.03.068

DO - 10.1016/j.jhydrol.2019.03.068

M3 - Article

VL - 573

SP - 109

EP - 122

JO - Journal of Hydrology

T2 - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

ER -