Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Groundwater Potential Investigation Using Geospatial Tool and Analytic Hierarchy Process in the Gubalafto Wereda, North Wollo, Ethiopia

Domaine:

geospatialenvironment and energy
Créateur:
Geb
Éditeur:
Zenodo
Hôte:avatar
Groundwater is a precious resource of limited extent. For the good use of it, proper investigation, management and assessment is required. This research main objective is investigation of the groundwater potential sites by using geospatial tool and analytic hierarchy process in the Gubalafto Wereda, North Wollo, and Ethiopia. The research work performed through integration of geographical information system, and Analytical hierarchy process techniques. The integration of different groundwater contributing thematic layers such as slope map, TWI map, land-cover map, fault map, drainage density map, lithological map, geomorphological map, soil type map and rainfall map were prepared and used for groundwater potential map development. Analytical hierarchy process was used to drive the weight of each influential factor, and weighted sum overlay analysis tool was used to aggregate factors together. The groundwater potential zone map generated through this model was verified using borehole, hand dug well, spring data and resulted Pearson correlation coefficient 0.82 which indicates good correlation between groundwater inventory data and mapped groundwater potential. The groundwater potential zones of the study area categorized into four classes of Very good, Good, Moderate and poor zones. The result showed that study area groundwater potential zone categorized in to very high, high, moderate and low covers area (8.87%), (22.94%), (36.61%) and (31.57%) of study area respectively. The estimated groundwater potential map of study area demonstrates that the very high and high groundwater potential zone highly concentrated in eastern central and most eastern part were the distribution of plains landforms, alluvial sediment, gentle slope, good rainfall, crop lands and fault concentration are dominating which are very significant for groundwater occurrence. This finding will be serving as a worked document for Gubalafto Woreda Irrigation and Lowlands Bureau and Water and Energy Management Bureau in the identification and delineation of groundwater potential zones for planning development of groundwater drilling in suitable manner
 

Visit

doi.orgzenodo.org

Tags

Groundwater potential, GIS, Analytic Hierarchy Process, Gubalafto wereda

Licenses

Creative Commons Attributionhttp://www.opendefinition.org/licenses/cc-byOpen Accessinfo:eu-repo/semantics/openAccess

Similaires

Comparing Analytic Hierarchy Process and Frequency Ratio Models for Delineating Groundwater Potential Zones in Northern MozambiqueGeoinformatics and Analytic Hierarchy Process (AHP) in modelling groundwater potential in Obudu Plateau, Southeastern Nigeria Bamenda MassifGroundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GISDataset for: Comparing Analytic Hierarchy Process and Frequency Ratio Models for Delineating Groundwater Potential Zones in Northern MozambiqueElaboration of a Wind Energy Potential Map in Morocco using GIS and Analytic Hierarchy ProcessIntegrated analytic hierarchy process and fuzzy analytic hierarchy process for Sahel watershed flood susceptibility assessment, Algeria

Comparing Analytic Hierarchy Process and Frequency Ratio Models for Delineating Groundwater Potential Zones in Northern Mozambique

This study investigated the effectiveness and accuracy of the analytic hierarchy process (AHP) and f

Geoinformatics and Analytic Hierarchy Process (AHP) in modelling groundwater potential in Obudu Plateau, Southeastern Nigeria Bamenda Massif

Groundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GIS

.(1) Background: Groundwater resources management in dry lands, characterized by climate var-iabilit

Dataset for: Comparing Analytic Hierarchy Process and Frequency Ratio Models for Delineating Groundwater Potential Zones in Northern Mozambique

Well locations data for split into training set and testing set.

Elaboration of a Wind Energy Potential Map in Morocco using GIS and Analytic Hierarchy Process

The construction of a wind power generation center starts by the selection of a suitable wind farm l

Integrated analytic hierarchy process and fuzzy analytic hierarchy process for Sahel watershed flood susceptibility assessment, Algeria

Abstract Effective disaster management heavily relies on accurate