Calculating of river water quality sampling frequency by the analytic hierarchy process (AHP)

Tuan, Huu; Lo, Shang‐Lien; Thi, Lan‐Anh Phan

doi:10.1007/s10661-012-2600-6

Cited by 45 publications

(14 citation statements)

References 10 publications

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“…However, the results of the spatiotemporal analyses show that the minimum SF interval is 11 days. This SF was estimated at 26% of the MSs, MS numbers 15,16,17,19,20,21,22,23,29,30,31, and 36. These MSs were located within the central and outlet zone of the marsh, except for MS number 36, which was located in the narrow part of the western zone of the marsh.…”

Section: Application Of the Rma2 And Rma4 Modelsmentioning

confidence: 99%

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Deterministic Methodology for Determining the Optimal Sampling Frequency of Water Quality Monitoring Systems

Al-Khafaji

2019

Hydrology

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This paper proposes a novel deterministic methodology for estimating the optimal sampling frequency (SF) of water quality monitoring systems. The proposed methodology is based on employing two-dimensional contaminant transport simulation models to determine the minimum SF, taking into consideration all the potential changes in the boundary conditions of a water body. Two-dimensional contaminant transport simulation models (RMA4) were implemented to estimate the distribution patterns of some effective physiochemical parameters within the Al-Hammar Marsh in the southern part of Iraq for 30 cases of potential boundary conditions. Using geographical information system (GIS) tools, a spatiotemporal analysis approach was applied to the results of the RMA4 models to determine the minimum SF of the monitoring stations with a monitoring accuracy (MA) level of detectable change in contaminant concentration ranging from the standard level to 50% (stepwise 5%). For the study area, the proposed methodology specified a minimum and maximum SF for each monitoring station (MS) that ranged between 12 and 33 times per year, respectively. An exponential relationship between SF and MA was obtained. This relationship shows that increasing the MA to ±10%, ±25%, and ±50% increases the SF by approximately 14%, 28%, and 93%, respectively. However, the proposed methodology includes all the potential values and cases of flow and contaminant transport boundary conditions, which increases the certainty of monitoring the system and the efficiency of the SF schedule. Moreover, the proposed methodology can be effectively applied to all types of surface water resources.

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Section: Application Of the Rma2 And Rma4 Modelsmentioning

confidence: 99%

“…These measures are destined to be utilized at the preliminary design stage to detect violations of WQ standards. The analytic hierarchy process (AHP), which is an effective method for decision analysis, was applied to analyze environmental impact assessments [28] and design river WQ SF [29].…”

Section: Introductionmentioning

confidence: 99%

Deterministic Methodology for Determining the Optimal Sampling Frequency of Water Quality Monitoring Systems

Al-Khafaji

2019

Hydrology

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“…In general, the quality of water in DWC has been greatly affected by point and nonpoint source of pollution due to growing human activities. Point and Non-Point Source (PNPS) of pollutants can be one or more of the following types: sediment, from wind and water soil erosion, nutrients from fertilizer, animal waste, and sewage-treatment plants, pathogens from livestock husbandry and septic systems, herbicides and pesticides such as insecticides, fungicides, etc., salt from winter road application, and toxic minerals, from manufactured and refined products [7][8][9]. Consequently, these impacts will affect the biodiversity, geochemical, and hydrological cycles of DWC [10].…”

Section: Introductionmentioning

confidence: 99%

Strategic Evaluation Tool for Surface Water Quality Management Remedies in Drinking Water Catchments

Almaaofi

Etemad‐Shahidi

Stewart

2017

Water

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Drinking water catchments (DWC) are under pressure from point and nonpoint source pollution due to the growing human activities. This worldwide challenge is causing number of adverse effects, such as degradation in water quality, ecosystem health, and other economic and social pressures. Different evaluation tools have been developed to achieve sustainable and healthy drinking water catchments. However, a holistic and strategic framework is still required to adequately consider the uncertainty associated with feasible management remedies of surface water quality in drinking water catchments. A strategic framework was developed to adequately consider the uncertainty associated with management remedies for surface water quality in drinking water catchments. A Fuzzy Multiple Criteria Decision Analysis (FMCDA) approach was embedded into a strategic decision support framework to evaluate and rank water quality remediation options within a typical fixed budget constraint faced by bulk water providers. The evaluation framework consists of four core aspects; namely, water quality, environmental, economic and social, and number of associated quantitative and qualitative criteria and sub-criteria. Final remediation strategy ranking was achieved through the application of the Euclidean Distance by the In-center of Centroids (EDIC).

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“…AHP is also used to evaluate the groundwater potential in India (Jha et al, 2010). Do et al (2013) employed AHP method to calculate river water quality sampling frequency. Kaya and Kahraman (2011) employed AHP method to analyse environmental impact assessments.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Quality Assessment for Drinking Purposes Using Gis Modelling (Case Study: City of Tabriz)

Jeihouni

Toomanian

Shahabi

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Tabriz is the largest industrial city in North West of Iran and it is developing rapidly. A large proportion of water requirements for this city are supplied from dams. In this research, groundwater quality assessed through sampling 70 wells in Tabriz and its rural areas. The purposes of this study are: (1) specifying spatial distribution of groundwater quality parameters such as Chloride, Electrical Conductivity (EC), pH, hardness and sulphate (2) mapping groundwater quality for drinking purpose by employing Analytic Hierarchy Process (AHP) method in the study area using GIS and Geosatistics. We utilized an interpolation technique of ordinary kriging for generating thematic map of each parameter. The final map indicates that the groundwater quality esaeicni from North to South and from West to East of the study area. The areas located in Center, South and South West of the study area have the optimum quality for drinking purposes which are the best locations to drill wells for supplying water demands of Tabriz city. In critical conditions, the groundwater quality map as a result of this research can be taken into account by East Azerbaijan Regional Water Company as decision support system to drill new wells or selecting existing wells to supply drinking water to Tabriz city.

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Calculating of river water quality sampling frequency by the analytic hierarchy process (AHP)

Cited by 45 publications

References 10 publications

Deterministic Methodology for Determining the Optimal Sampling Frequency of Water Quality Monitoring Systems

Deterministic Methodology for Determining the Optimal Sampling Frequency of Water Quality Monitoring Systems

Strategic Evaluation Tool for Surface Water Quality Management Remedies in Drinking Water Catchments

Groundwater Quality Assessment for Drinking Purposes Using Gis Modelling (Case Study: City of Tabriz)

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