Applications of statistical and AHP models in groundwater potential mapping in the Mensa river catchment, Omo river valley, Ethiopia

Genjula, Wubshet; Jothimani, Muralitharan; Gunalan, Jagadeshan; Abebe, Abel

doi:10.1007/s40808-023-01765-8

Cited by 5 publications

(1 citation statement)

References 63 publications

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“…It provides a cutting-edge workspace for spatiotemporal data that makes it possible to organize, visualize, and integrate digital geographic data from a variety of sources [20]. Through spatial analysis, modification, and visualization, Entropy and GIS work together to create a flexible and user-friendly solution that supports surface water management planning and decisionmaking [24]. Hence, these techniques have arisen to address the limitations of traditional WQIs, the modification of conflicts between various WQIs by entropy-based MCDMs, and the optimization of online monitoring systems to further the information gleaned from monitoring programs [25].…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Das

2023

Integrated Water Resources Management for Quality Enhancement

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Surface water is necessary for the sustainable expansion of society, economy, and agriculture in and around Baitarani Basin, Odisha. 22 significant surface water regulating variables were collected from 13 locations during the 5-year (2018-2023) monsoon period and were, developed by combining entropy-based water quality index (EWQI) data and TOPSIS analysis was carried out to determine surface water prospect zones. The selected catchments and its spatial maps were designated and the anticipated surface water zone model's results were divided into four groups: excellent (15.38%), good (38.46%), medium (15.3%) and poor (30.77%). However, TOPSIS, a multi-objective judgement tool, was used to rank the sites based on their relative emissions of harmful pollutants. Findings suggest that St-8 obtained the highest performance score and was recognized, as perhaps, the most polluted location in comparison to other remaining sites. Urbanization, irrigation, landfills, and e-waste are the primary agents for water quality deterioration. Chemical indices such as SAR, RSC, MH, KI, PS, PI, CR, CAI-1, and CAI-2, were evaluated and the results demonstrated that the river is good for irrigation. USSL diagrams categorized the water samples as C1-S1 and C2-S1, respectively, which promotes irrigation suitability. From the Piper and Durov diagram plots, two different types of water were identified as Na+-Cl- and Ca (HCO3)2. On the other hand, Gibb’s plot implies that most samples fall under the evaporation-precipitation dominance.

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Section: Introductionmentioning

confidence: 99%

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Das

2023

Integrated Water Resources Management for Quality Enhancement

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Delineation of Surface Water Potential Zones and Identification of Sites in Mahanadi River Basin, Odisha, India, Using GIS

Das

2024

Lecture Notes in Civil Engineering

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GIS-based multi-criteria decision making for delineation of potential groundwater recharge zones for sustainable resource management in the Eastern Mediterranean: a case study

Abdo,

Vishwakarma,

Alsafadi

et al. 2024

Appl Water Sci

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In light of population growth and climate change, groundwater is one of the most important water resources globally. Groundwater is crucial for sustaining many vital sectors in Syria, including industrial and agricultural sectors. However, groundwater exploitation has significantly escalated to meet different water needs especially in the post-war period and the earthquake disaster. Therefore, the goal was this study delineation of the groundwater potential zones (GPZs) by integrating the analytic hierarchy process (AHP) method in a geographic information systems (GIS) within the AlAlqerdaha river basin in western Syria. In this study, ten criteria were used to map the spatial distribution of GPZs, including slope, geomorphology, drainage density, land use/land cover (LU/LC), lineament density, lithology, rainfall, soil, curvature and topographic wetness index (TWI). GPZs map was validated by using the location of 74 wells and the Receiver Operating Characteristic Curve (ROC). The findings suggest that the study area is divided into five GPZs: very low, 21.39 km2 (10.87%); low, 52.45 km2 (26.65%); moderate, 65.64 km2 (33.35%); high, 40.45 km2 (20.55%) and very high, 16.90 km2 (8.58%). High and very high zones mainly corresponded to the western regions of the study area. The conducted spatial modeling indicated that the AHP-based GPZs map showed a remarkably acceptable correlation with wells locations (AUC = 87.7%, n = 74), demonstrating the precision of the AHP–GIS as a rating method. The results of this study provide objective and constructive outputs that can help decision-makers to optimally manage groundwater resources in the post-war phase in Syria.

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Applications of statistical and AHP models in groundwater potential mapping in the Mensa river catchment, Omo river valley, Ethiopia

Cited by 5 publications

References 63 publications

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Delineation of Surface Water Potential Zones and Identification of Sites in Mahanadi River Basin, Odisha, India, Using GIS

GIS-based multi-criteria decision making for delineation of potential groundwater recharge zones for sustainable resource management in the Eastern Mediterranean: a case study

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