Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques

Environmental Sciences Europe, Год журнала: 2024, Номер 36(1)

Опубликована: Апрель 29, 2024

Abstract Groundwater resources are essential for drinking water, irrigation, and the economy mainly in semiarid environments where rainfall is limited. Currently, unpredictable due to climate change pollution on Earth’s surface directly affects groundwater resources. In this area, most people depend irrigation purposes, every summer, of area depends a environment. Hence, we selected two popular methods, analytical hierarchy process (AHP) multiple influence factor (MIF) which can be applied map potential zones. Nine thematic layers, such as land use cover (LULC), geomorphology, soil, drainage density, slope, lineament elevation, level, geology maps, were study using remote sensing geographic information system (GIS) techniques. These layers integrated ArcGIS 10.5 software with help AHP MIF methods. The zones revealed four classes, i.e., poor, moderate, good, very based MF zone 241.50 (ha) Poor, 285.64 408.31 92.75 good method. Similarly, method that classes divided into classes: 351.29 511.18 (ha), 123.95 41.78 good. results compared determine methods best planning water resource development specific areas have basaltic rock drought conditions. Both maps validated yield data. receiver operating characteristic (ROC) curve under (AUC) model found 0.80 (good) 0.93 (excellent) respectively; hence, delineation planning. present study’s framework will valuable improving efficiency conserving rainwater maintaining ecosystem India.

Язык: Английский

---

Groundwater Sustainability mapping for Managed Aquifer Recharge in Dwarkeswar river basin: Integration of Watershed Modeling, Multi-Criteria Decision Analysis, and Constraint Mapping

Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101279 - 101279

Опубликована: Июль 11, 2024

Язык: Английский

---

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

Hydrological Processes, Год журнала: 2025, Номер 39(1)

Опубликована: Янв. 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.

Язык: Английский

---

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, Год журнала: 2025, Номер 11(4), С. e42473 - e42473

Опубликована: Фев. 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.

Язык: Английский

---

Modelling of Groundwater Potential Zones in Semi-Arid Areas Using Unmanned Aerial Vehicles, Geographic Information Systems, and Multi-Criteria Decision Making

Hydrology, Год журнала: 2025, Номер 12(3), С. 58 - 58

Опубликована: Март 14, 2025

Nowadays, modelling groundwater potential zones (GWPZs) based on scientific principles and modern techniques is a major challenge for scientists around the world. This even greater in arid semi-arid areas. Unmanned aerial vehicles (UAVs), geographic information systems (GISs), multi-criteria decision making (MCDM) are that have been applied various fields, especially exploration. study attempts to apply workflow GWPZs using UAV technology, GIS, MCDM An survey provided high-resolution DEM of 4 cm. Six influencing factors, including elevation model, drainage density, lineament slope, flood zone, topographic wetness index, were considered delineate GWPZs. Four classes identified, namely high (4.64%), moderate (23.74%), low (18.2%), very (53.42%). Three validation methods, borehole yield data, receiver operating characteristic area under curve (ROC-AUC), principal component analysis (PCA), used gave accuracies 82.14%, 65.4%, 72.49%, respectively. These validations indicate satisfactory accuracy justify effectiveness approach. The mapping areas important availability planning water resources management sustainable development.

Язык: Английский

---

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

Heliyon, Год журнала: 2025, Номер 11(10), С. e43045 - e43045

Опубликована: Апрель 29, 2025

Язык: Английский

---

Mapping groundwater dependent ecosystems potential for sustainable management of aquifers

Groundwater for Sustainable Development, Год журнала: 2025, Номер unknown, С. 101457 - 101457

Опубликована: Май 1, 2025

Язык: Английский

---

Analysis of Human Activities, Built-Up and Rainfall Impacts on Groundwater Potential Zones Using GIS and AHP Techniques: A Case of Karaman River, Southern Western Ghats, India

Water Conservation Science and Engineering, Год журнала: 2024, Номер 9(2)

Опубликована: Сен. 6, 2024

Язык: Английский

---

Assessing groundwater potentialities and replenishment feasibility using machine learning and MCDM models considering hydro-geological aspects and water quality constituents

Environmental Earth Sciences, Год журнала: 2024, Номер 84(1)

Опубликована: Дек. 14, 2024

Язык: Английский

---

Evaluating groundwater potential in water-deficit laterite zones of Eastern India using RS and GIS techniques, combining an analytical hierarchical process for sustainable water resources management

Groundwater for Sustainable Development, Год журнала: 2024, Номер unknown, С. 101344 - 101344

Опубликована: Сен. 1, 2024

Язык: Английский

---