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

Hossein Alilou, Alireza Moghaddam Nia, Mohsen Mohseni Saravi, Ali Salajegheh, Dawei Han, Bahram Bakhtiari Enayat

Research output: Contribution to journalArticle

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 an efficient approach for selecting exact sampling locations.

Original languageEnglish
Pages (from-to)109-122
Number of pages14
JournalJournal of Hydrology
Volume573
DOIs
Publication statusPublished - 1 Jun 2019

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river water
water quality
sampling
monitoring
surface water
pollution
fuzzy mathematics
river
topography
watershed
resource
cost
rock

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Alilou, Hossein ; Moghaddam Nia, Alireza ; Saravi, Mohsen Mohseni ; Salajegheh, Ali ; Han, Dawei ; Bakhtiari Enayat, 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.
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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; Bakhtiari Enayat, Bahram.

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

Research output: Contribution to journalArticle

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AU - Han, Dawei

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