Aquifer vulnerability identification using DRASTIC-LU model modification by fuzzy analytic hierarchy process

Goodarzi, Mohammad Reza; Niknam, Amir Reza R.; Jamali, Vahid; Pourghasemi, Hamid Reza

doi:10.1007/s40808-022-01408-4

Cited by 21 publications

(8 citation statements)

References 49 publications

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“…1 is a crucial risk indicator, followed by market risk factors. Building a new type of power system is important to correctly understand the contradictions between the market and the market [11]. The third is the technical risk factor, which refers to the uncertainty of various technologies used in the operation of the new power system.…”

Section: New Power System Operational Effectiveness Evaluation Index ...mentioning

confidence: 99%

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Cai,

Xia,

Zhu

et al. 2024

International Journal of Power and Energy Systems

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With the increasing requirements of society for energy conservation and emission reduction, electricity is seen as an important energy supply method to promote energy conservation and emission reduction. The study combines hierarchical analysis, rough set theory and fuzzy comprehensive evaluation method to propose a new power system operation effectiveness assessment method based on improved fuzzy hierarchical analysis. The study uses Institute of Electrical and Electronics Engineers Power & Energy Society (IEEE PES) Power System Test Cases Data Set, Power System Analysis Toolbox and GridLAB-D Test Cases as the objects of the study. The distribution is more distinctive and hierarchical. The results show that after the application of the model proposed by the research institute, the overall generation efficiency has been significantly improved. All sampling times have exceeded 85.5%, and most of them are concentrated at about 88%. At the same time, the proposed model runs only 22.17 s, which is more efficient, and the overall correlation is as high as 0.97097. The fit degree is very high, which proves high training accuracy. Overall, this study contributes to the development of smart grid technology and the improvement of power system operation and management.

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Section: New Power System Operational Effectiveness Evaluation Index ...mentioning

confidence: 99%

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Cai,

Xia,

Zhu

et al. 2024

International Journal of Power and Energy Systems

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show abstract

“…The procedure involves first calculating the ROC curve by adjusting the classification threshold for potential zones and subsequently computing the AUC to distinguish between zones of high and low potential. To compare the True-Positive Rate (TPR) and False-Positive Rate (FPR), an R-squared analysis can be employed to gauge the degree of alignment between the weights allocated through the AHP and the actual GIS values of the groundwater potential for groundwater delineation [47]. Validation is a technique used in the AHP method to evaluate the performance of the model by dividing the data into training and validation sets, using the training data to train the model and the validation data to evaluate its performance.…”

Section: Accuracy Assessmentmentioning

confidence: 99%

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Sulaiman,

Mustafa

2023

Earth

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Groundwater availability in the Zakho Basin faces significant challenges due to political issues, border stream control, climate change, urbanization, land use changes, and poor administration, leading to declining groundwater quantity and quality. To address these issues, this study utilized the Analytic Hierarchy Process (AHP) and geospatial techniques to identify potential groundwater sites in Zakho. The study assigned weights normalized through the AHP eigenvector and created a final index using the weighted overlay method and specific criteria such as slope, flow accumulation, drainage density, lineament density, geology, well data, rainfall, and soil type. Validation through the receiver operating characteristic (ROC) curve (AUC = 0.849) and coefficient of determination (R2 = 0.81) demonstrated the model’s accuracy. The results showed that 17% of the area had the highest potential as a reliable groundwater source, 46% represented high-to-moderate potential zones, and 37% had low potential. Flat areas between rivers and high mountains displayed the greatest potential for groundwater development. Identifying these potential sites can aid farmers, regional planners, and local governments in making precise decisions about installing hand pumps and tube wells for a regular water supply. Additionally, the findings contribute to the development of a sustainable groundwater management plan, focusing on improving water usage and protecting water-related ecosystems in the region. Identification of the optimum influencing factors, arrangement of the factors in a hierarchy, and creation of a GWPI map will allow further planning for groundwater preservation and sustainability. This project can be conducted in other areas facing droughts.

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“…Classifications for the resulting vulnerability indexes are established based on their values, e.g., divided into five classes which have equal intervals [11,27,28]. Hamza et al [9] propose a categorisation by dividing the vulnerability index values into five equal classes using the percentage range: "very low" (10.00-28.99), "low" (29.00-46.99), "medium" (47.00-64.99), "high" (65.00-82.99) and "very high" (83.00-100).…”

Section: Hydraulic Conductivity (C) Drasticmentioning

confidence: 99%

“…Nitrate concentration serves as a vital indicator of groundwater pollution, as elevated nitrate levels are associated with contamination resulting from anthropogenic and agricultural activities [34]. Therefore, nitrate concentration is a reliable and commonly used parameter for validating groundwater vulnerability assessment results [7,27,28]. In Estonia, monitoring nitrate concentration is a crucial aspect of national groundwater quality assessment.…”

Section: Validation By Using Nitrate Valuesmentioning

confidence: 99%

Application of Modified DRASTIC Method for the Assessment and Validation of Confined Aquifer Vulnerability in Areas with Diverse Quaternary Deposits

Männik,

Karro

2023

Water

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Accurate vulnerability assessment methods are essential for effective groundwater management and protection, allowing the identification of areas vulnerable to pollution. The widely used DRASTIC method has been modified to improve groundwater vulnerability assessment in regions where Quaternary sediments form a confining layer above the main useful aquifer. This study applied the modified DRASTIC method to two study areas in Estonia with heterogenous Quaternary sediments. The results were compared to the original DRASTIC method and a groundwater vulnerability assessment method used formerly in Estonia. The results significantly improved with the modified version compared to the original method. The modified method also exhibited stronger correlations with nitrate concentration data, illustrating the higher accuracy of the modified DRASTIC method in vulnerability assessment in regions with confined aquifers. The results highlight the significance of modifying the vulnerability assessment methods according to regional geological conditions to evaluate groundwater vulnerability accurately and support informed decision-making in groundwater management and protection.

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Aquifer vulnerability identification using DRASTIC-LU model modification by fuzzy analytic hierarchy process

Cited by 21 publications

References 49 publications

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Application of Modified DRASTIC Method for the Assessment and Validation of Confined Aquifer Vulnerability in Areas with Diverse Quaternary Deposits

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