Assessment of irrigation water quality by a Geographic Information System–Multicriteria Decision Analysis‐based model: A case study from Ankara, Turkey

Kavurmaci, Murat; Apaydın, Ahmet

doi:10.1002/wer.1133

Cited by 15 publications

(5 citation statements)

References 32 publications

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“…They analyzed the distribution of pathogens in a watershed [ 74 ]. For enhancing the management of surface waters and groundwater a geographic information system–multicriteria decision analysis-based model was adopted to assess the quality of irrigation water [ 79 , 80 ]. However, these models are not optimized for analyzing viral contamination in reservoirs.…”

Section: Discussionmentioning

confidence: 99%

Effects of Weather and Environmental Factors on the Seasonal Prevalence of Foodborne Viruses in Irrigation Waters in Gyeonggi Province, Korea

et al. 2020

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This study aimed to investigate the prevalence of foodborne viruses in reservoirs (an important resource of irrigation water) and its correlation with environmental and weather factors. From May 2017 to November 2018, we visited ten reservoirs and a river in the Anseong region of South Korea and collected a total of 192 samples in accordance with the environment protection agency guidelines. We recorded the weather factors (temperature, humidity, and accumulated precipitation) and investigated the surrounding environment factors (livestock, fishing site, the catchment area of reservoirs, etc.). Our research results show that from the river and reservoirs, the detection rates of human norovirus GII, adenovirus, rotavirus, human norovirus GI, and astrovirus were 27.1, 10.4, 10.4, 4.16, and 3.1%, respectively. Their viral load ranged from −1.48 to 1.55 log10 genome copies/l. However, hepatitis A virus was not detected in any irrigation water sample. Although no sampling was performed in winter, foodborne viruses and male-specific coliphages were frequently found during spring (40.78%) and autumn (39.47%). Interestingly, the significant correlation between the accumulative precipitation and the number of detected norovirus and adenovirus was confirmed by linear regression analysis. Furthermore, when the accumulative precipitation ranged from 20 to 60 mm, it significantly affected the viral load and prevalence. Among the environmental factors, recreational facilities such as fishing sites and bungalow fishing spots were identified as contamination sources by correlation analysis. Our research results confirmed the correlations between environmental contamination factors in the reservoir and weather factors with the prevalence of foodborne viruses in the reservoir. These facilitates the assessment of potential foodborne virus contamination during crop irrigation. In addition, predictive models including environmental and weather factors should be developed for monitoring and controlling the safety of irrigation waters in reservoirs.

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Section: Discussionmentioning

confidence: 99%

Effects of Weather and Environmental Factors on the Seasonal Prevalence of Foodborne Viruses in Irrigation Waters in Gyeonggi Province, Korea

et al. 2020

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“…[ 26 ] Based on a search conducted for MCDA methods through the Scopus database with the name “AHP” and “water quality” in the title, abstract and keywords, AHP is the most used MCDA method in the studies associated with water quality assessments in the last decade. [ 12,13,26,68–70 ]…”

Section: Discussionmentioning

confidence: 99%

“…Studies of Ortega et al., [ 42 ] Al‐Abadi et al., [ 43 ] Chen et al., [ 44 ] Mooselu et al., [ 45 ] Lin et al. [ 46 ] can be given as examples of the AHP‐TOPSIS/TOPSIS method in the last few years, whereas those of Whittaker et al., [ 47 ] Kavurmaci and Apaydın, [ 13 ] Rezaei et al., [ 48 ] or Soltani et al. [ 49 ] are for DEA: They all successfully ranked the alternatives from the highest water quality to the lowest.…”

Section: Methodsmentioning

confidence: 99%

“…WQI combines all the carefully chosen physicochemical and biological parameters into a single score depending on the aim of the intended use of water. [ 13–15 ] Although many WQI produced by various researchers are available for the characterization of water resources, [ 16,17 ] methodologies used in developing WQI are different from each other, which leads to different classifications of a water resource. The distinctions among indexes in water quality studies are mainly based on the differences in the selection of criteria by decision‐makers, the selection of the model to be used in the calculation of the index and the purpose of the water usage, as well as the relative importance of the criteria.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Groundwater Quality in the Mineralized Fields by Analytical Hierarchy Process‐Based Water Quality Index

Yılmazer

Kavurmaci

2021

CLEAN Soil Air Water

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In this study, an epithermal goldfields‐water quality index (EGF‐WQI) and the associated classification system have been proposed to define drinking water quality of the water resources in regions where epithermal gold mineralization exists. In this context, two hydrogeochemical data sets from 15 water resources are used. EGF‐WQI is designed using 21 different criteria under 4 main groups and 15 alternatives. To determine the importance and efficiency values of the criteria, analytical hierarchy method (AHP) is used. The water quality classification system is defined by 4 different categories, namely, “very good,” “good,” “acceptable,” and “inappropriate.” In order to ensure consistency of the findings, efficiency scores of the AHP method are compared with the results obtained from the technique for order preference by similarity to ideal solution and data envelopment analysis models. The index results obtained from AHP processes are converted into water quality distribution maps by using the Kriging interpolation method. EGF‐WQI results are observed to be compatible with the water quality standards developed by organizations such as the World Health Organization and Turkish Standards. EGF‐WQI can be used as a reliable and valid index to evaluate the water resources in regions where alteration and mineralization are present.

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“…In the United States, irrigation withdrawals increased by two percent annually between 2010 and 2015, and accounted for approximately 42% of freshwater withdrawals in 2015 [2][3][4]. Hence, the need for safer and more efficient irrigation systems has drawn substantial attention recently and the number of related studies has rapidly increased [5][6][7]. In general, water quality is commonly evaluated by assessing chemical composition using in-situ sensor probes and/or laboratory-scale measurements in water samples collected on site.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water

et al. 2020

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This study provides detailed information about the use of a hyperspectral imaging system mounted on a motor-driven multipurpose floating platform (MFP) for water quality sensing and water sampling, including the spatial and spectral calibration for the camera, image acquisition and correction procedures. To evaluate chlorophyll-a concentrations in an irrigation pond, visible/near-infrared hyperspectral images of the water were acquired as the MFP traveled to ten water sampling locations along the length of the pond, and dimensionality reduction with correlation analysis was performed to relate the image data to the measured chlorophyll-a data. About 80,000 sample images were acquired by the line-scan method. Image processing was used to remove sun-glint areas present in the raw hyperspectral images before further analysis was conducted by principal component analysis (PCA) to extract three key wavelengths (662 nm, 702 nm, and 752 nm) for detecting chlorophyll-a in irrigation water. Spectral intensities at the key wavelengths were used as inputs to two near-infrared (NIR)-red models. The determination coefficients (R2) of the two models were found to be about 0.83 and 0.81. The results show that hyperspectral imagery from low heights can provide valuable information about water quality in a fresh water source.

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Assessment of irrigation water quality by a Geographic Information System–Multicriteria Decision Analysis‐based model: A case study from Ankara, Turkey

Cited by 15 publications

References 32 publications

Effects of Weather and Environmental Factors on the Seasonal Prevalence of Foodborne Viruses in Irrigation Waters in Gyeonggi Province, Korea

Effects of Weather and Environmental Factors on the Seasonal Prevalence of Foodborne Viruses in Irrigation Waters in Gyeonggi Province, Korea

Evaluation of Groundwater Quality in the Mineralized Fields by Analytical Hierarchy Process‐Based Water Quality Index

Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water

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