Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25532 - e25532

Published: Feb. 1, 2024

Among all other valuable natural resources, groundwater is crucial for global economic growth and food security. This study aimed to delineate potential zones (GWPZ) in the Gidabo watershed of Main Ethiopian Rift. The demand supplies various applications has risen recently due rapid population upsurge. An integrated Geographical Information System, Remote Sensing, Analytical Hierarchy Process (AHP) been utilized. Eight regulating factors, including rainfall, elevation, drainage density, soil types, lineament slope, lithology, land use/land cover, have taken analysis. To assign suitable weights each factor, AHP was employed, as element contributes differently occurrence. weighted overlay analysis (WOA) technique then used ArcGIS environment integrate thematic layers generate a GWPZ map. delineated classified into five categories. poor covered 18.7 %, low 33.8 moderate 23.4 high 18.1 very 5.8 % area. Well spring data were validate model, ROC (Receiver Operating Characteristic) curve method applied. results showed good accuracy 76.8 %. result this research can be planning managing resources watershed.

Language: Английский

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Groundwater Potential Assessment Using Integrated Geospatial and Analytic Hierarchy Process Techniques (AHP) in Chemoga Watershed, Upper Blue Nile Basin, Ethiopia

Air Soil and Water Research, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 1, 2025

Groundwater is an invaluable natural resource that sustains human life and supports the economic development of nations. However, its unsustainable utilization has emerged as a critical issue, particularly in developing countries. This study investigates groundwater potential Chemoga watershed to address these challenges. Conventional assessments have typically relied on labor-intensive time-consuming field surveys, which are resource-demanding often fail provide accurate estimates due inherent complexity systems. In response, this research utilizes geospatial analytic hierarchy process (AHP) techniques assess Watershed, aiming overcome Eight biophysical environmental factors: geology, slope, rainfall, land use/land cover (LULC), soil type, elevation, lineament density, drainage density were selected for analysis using Saaty’s AHP methodology. Data was gathered from satellite imagery, existing thematic maps, local water offices, national meteorological agencies. The integration maps performed through weighted overlay ArcGIS 10.8, resulted delineation zones (GWPZ). model validated by cross-referencing generated GWPZ with data dug wells boreholes. results reveal five zones: very high (0.73%), (24.39%), moderate (43.38%), poor (31.25%), (0.25%). most suitable south, southeast, southwest watershed, near Debre Markos Town. These high-potential significant 81.5% match ground truth shallow wells. findings crucial insights decision-makers, enabling formulation more effective management strategies. By identifying cost-effective well sites, contributes ensuring sustainable supply

Language: Английский

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Mapping groundwater potential zone in the subarnarekha basin, India, using a novel hybrid multi-criteria approach in Google earth Engine

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24308 - e24308

Published: Jan. 1, 2024

Assessing groundwater potential for sustainable resource management is critically important. In addressing this concern, study aims to advance the field by developing an innovative approach Groundwater zone (GWPZ) mapping using advanced techniques, such as FuzzyAHP, FuzzyDEMATEL, and Logistic regression (LR) models. GWPZ was carried out integrating various primary factors, hydrologic, soil permeability, morphometric, terrain distribution, anthropogenic influences, incorporating twenty-seven individual criteria multi-criteria decision models along with a hybrid Subarnarekha River basin, India, in Google earth engine (GEE). The predictive capability of model evaluated Multi-Collinearity test (VIF <10.0), followed applying random forest model, considering weighted impact five factors. classification showed that 21.97 % (4256.3 km

Language: Английский

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A historical review and analysis on MOORA and its fuzzy extensions for different applications

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25453 - e25453

Published: Feb. 1, 2024

Multi-criteria decision-making (MCDM) methods have been widely used among researchers to provide a trade-off solution between best and worst, considering conflicting criteria sets of preferences. An efficient systematic literature review these is needed maintain their application in distinctive domains. To this end, paper presents comprehensive survey on "multi-objective optimization by ratio analysis" (MOORA) method its fuzzy extensions developed discussed recent years. This includes articles categorized based the publication name, publishing year, journal type applications, extensions. In addition, will enhance understanding practitioners decision-makers MOORA method, development, hybridization, different areas, future work. The study revealed that technique was predominantly with TOPSIS approach, followed AHP COPRAS methods. Furthermore, 76.28 % use single hybridization approaches all studies, while 23.72 environment.

Language: Английский

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Unleashing the Untapped Potential: Groundwater Exploration in a Watershed Environment of North‐East India Using MCDA‐AHP Techniques

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(1)

Published: Jan. 1, 2025

ABSTRACT The contemporary era is marked by the faster exploitation of groundwater resources due to combined effects burgeoning population and rapid industrialisation. This study tries delineate potential zones (GWPZs) in a fragile agriculturally dominant watershed North‐East India using GIS‐based multi‐criteria decision analysis (MCDA) approach Analytical Hierarchy Process (AHP) technique. has undertaken 10 influencing factors: geomorphology, geology, land use/land cover (LU/LC), drainage density, rainfall, soil texture, slope, lineament topographic wetness index (TWI) normalised difference water (NDWI). Suitable weights for parameters are assigned according their relative importance association with storage based on pairwise comparison matrix (PCM). Four GWPZs respective coverages namely poor (3.39%), moderate (24.98%), good (33.36%) excellent (38.27%) categories found. central southern parts area covering portion Udalguri, Sonitpur Darrang districts Assam have porous geological settings floodplains, indicating high potentiality. In contrast, northern part hard rugged terrain lacks storage. Incorporating socio‐economic aspect, particularly number villages or without access suitable groundwater, significantly enhances study's utility. outcome cross‐verified well data obtained from Central Groundwater Board (CGWB) field which validated receiver operating characteristics (ROC) curve resulting an accuracy 72.9%. Hence, this inquiry implications both regional global significance will assist stakeholders authorities creating roadmap sustainable effective use.

Language: Английский

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Comparative Evaluation of Multi-Influence Factor, Shannon Entropy, and Frequency Ratio Techniques for Groundwater Potential Mapping in the Maze and Zenti Catchments, Omo Basin, Ethiopia

Heliyon, Journal Year: 2025, Volume and Issue: 11(4), P. e42473 - e42473

Published: Feb. 1, 2025

Sustainable water resource management relies heavily on accurate groundwater potential mapping, especially in countries like Ethiopia, where is a primary drinking source. This study focuses the Maze-Zenti catchments, located Omo Basin of Ethiopia and covering an area 2,340 square kilometers, which are highly dependent resources. They aimed to identify zones using three advanced geospatial statistical methods: Multi-Influence Factor (MIF), Shannon Entropy (SE), Frequency Ratio (FR). These methods were selected for their demonstrated efficiency mapping. A comprehensive database was created, incorporating slope, elevation, drainage density, lithology, soil type, aspect, Topographic Wetness Index (TWI), lineament rainfall, land use. The results classified into four zones: low, moderate, high, very high across all models. ensemble model combining strong predictive capability, with 35.04% as 22.48% potential. Separately, frequency ratio (FR) emphasized (35.17%) (20.17%) zones, while entropy (SE) multi-influencing factor (MIF) models also identified significant portions moderate classes. Validation Receiver Operating Characteristic (ROC) curves established most reliable, achieving Area under Curve (AUC) 0.851, followed by (0.813) (0.784). numerical comparison actual well yields revealed 77.5% accuracy rate, further validating model's reliability. highlights critical role mapping regions limited resources offers flexible framework adaptable various hydrogeological conditions, making it valuable drillers, managers, researchers, other stakeholders management.

Language: Английский

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Groundwater Potential Zone Mapping In Ajora-Woybo Watershed, OMO Basin, Southern, Ethiopia, Using GIS, RS &amp; AHP Techniques

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Mapping groundwater potential zones is essential for effective well drilling planning. This study focuses on Ajora-Woybo watershed in Southern Ethiopia, which spans 1,787.8 km². The area experiencing rapid population and livestock growth, leading to increased water demand, while quantity quality of surface are declining due agricultural activities near rivers. objective this research was evaluate using geographic information systems, remote sensing, Analytical Hierarchy Process. Eight thematic layers were utilized the assessment: geomorphology, lithology, slope, lineament density, soil texture, drainage rainfall, land use/cover. Data these factors compiled from sensing imagery various secondary sources, then processed a systems environment. relative weights datasets determined assessment categorized into four classes: high, moderate, low, poor. high area, covering 568.4 km², mainly central northern regions, characterized by flat plateau that correspond volcanic sediment Nazret group Dino formation with low slope. Conversely, poor zone 152.7 km² northeast southern mountain peaks. other classes include (438.1 km²) moderate (628.7 km²). Geomorphology lithology sensitive occurrence distribution, use/cover less sensitive. found 79% agreement between map observed borehole yield, demonstrating effectiveness combining identifying zones.

Language: Английский

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Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India

Applied Water Science, Journal Year: 2025, Volume and Issue: 15(3)

Published: Feb. 27, 2025

Abstract Population growth has significantly affected groundwater resources globally. Groundwater is essential for agriculture and human consumption. Considering these issues, we focused on the Dharmapuri District, Tamil Nadu, India. In study area, 70 $$\%$$ % of population depend agriculture, necessitating assessing potential zone. Thematic layers such as geology, geomorphology, drainage density, lineament slope, soil, land use cover, recharge, distance from river, elevation, topographic wetness index normalized difference vegetation have been created using ArcGIS. The aims to assess zones (GWPZ) enhanced trapezoidal fuzzy number in analytical hierarchy process (ETFAHP) (AHP) methods with help layer(parameters) weights are calculated AHP ETFAHP methods. Notably, previous studies not used numbers GWPZ. A method zone classified very poor, moderate, fair good. (GWPI) validated depth water level. this study, GWPZ showed poor (15.00%), (27.85%), moderate (26.54%), (19.80%) good (10.81%). Similarly, (17.63%), (27.58%), (22.77%), (21.48%) (10.54%). area under curve (AUC) values 0.88 0.91, respectively. AUC value 0.91 indicates best prediction accuracy area.

Language: Английский

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Geospatial mapping of groundwater potential zones using Multi-Criteria Decision Analysis and GIS Fuzzy logic in Dabus Sub-Basin, Western Ethiopia

Quaternary Science Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100275 - 100275

Published: March 1, 2025

Language: Английский

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Integrated GIS, remote sensing, and analytical hierarchical process approaches to delineate groundwater storage zones in the Sub-Saharan region of Northern Ethiopia

Heliyon, Journal Year: 2025, Volume and Issue: 11(10), P. e43045 - e43045

Published: April 29, 2025

Language: Английский

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