GIS and fuzzy logic techniques-based demarcation of groundwater potential zones: A case study from Jemma River basin, Ethiopia

Ahmad, Imran; Dar, Mithas Ahmad; Halefom, Afera; Teshome, Menberu; Andualem, Tesfa Gebrie; Teshome, Asirat; Shafi, Tanzeem

doi:10.1016/j.jafrearsci.2020.103860

Cited by 33 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soil texture plays a crucial role in the water transport processes controlling in ltration of surface water and recharging groundwater aquifers (Ahmad et al, 2020). Soil texture refers to the relative percentage of silt, clay and sand within a soil layer.…”

Section: Soilmentioning

confidence: 99%

“…Incorporation of space-born data and geographic information system (GIS) for GWP is a paradigm shift and signi cant development in the eld of hydrology (Silwal and Pathak, 2018). Integration of remote sensing (RS) and GIS for the evaluation of GWP enables the storage, manipulation, analysis and display of data in various forms and magnitude (Ahmad et al, 2020;Abijith et al, 2020;Raju et al, 2019). Several assessments techniques for delineation of groundwater potential zones (GWPZ) have been developed recently, these include single factor analysis (Xin-feng et al, 2012), multifactor analysis (Nag and Kundu, 2018), Fuzzy-analytical hierarchy process (F-AHP) (Shao, et al, 2020), Fuzzy clustering (Ahmad et al, 2020), geographic information fusion system (Raju et al, 2019), Fuzzy analytical hierarchy process indices (Pinto et al, 2017), multi-criteria decision making (Celik, 2019) and multi in uencing approach (MIF) (Nasir et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An integrated geospatial multi-influencing factor approach to delineate and identify groundwater potential zones in Kabul Province, Afghanistan

et al. 2021

View full text Add to dashboard Cite

This study was an attempt to evaluate the groundwater potentiality in Kabul province, Afghanistan using geospatial multi in uencing factor (MIF) approach. The in uencing parameters employed for the assessment of groundwater potential zones (GWPZ) includes slope, geology, soil, land use/land cover, lineament density, rainfall and drainage density. The sub-classes within each in uencing parameter were sub-divided, based on their effectiveness in groundwater potentiality as major, minor and no effect, and subsequently assigned a score value. The combined score value of these parameters was used for calculating the relative weight. The delineated GWPZ were classi ed in four groups, i.e. poor, moderate, good and very good GWPZ. The study results revealed that very good GWPZ covered an area of 354.87km 2 (2% of the total area), good 1523.86 km 2 (20%), moderate 2250.99 km 2 (73%) and poor 477.19 km 2 (5%). The study concluded that geospatial assisted MIF approach was very useful and e cient techniques for the assessment of GWPZ and can be effectively employed to enhance the conceptual understanding of groundwater resources of Kabul Basin, Afghanistan. HighlightsMulti in uencing factor approach was used to evaluate groundwater potential zones.Seven in uencing parameters were used for groundwater potential zones' evaluation.Satellite images and secondary data was used for the in uencing parameters layers.The generated map revealed 73% of Kabul province area covered by moderate GWPZ.The validation suggested multi in uencing factor approach as an effective tool.

show abstract

Section: Soilmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated geospatial multi-influencing factor approach to delineate and identify groundwater potential zones in Kabul Province, Afghanistan

et al. 2021

View full text Add to dashboard Cite

show abstract

“…It can be an identical coordinate extent or a projection defined for all the maps. Nevertheless, the integration of various tools for complex mapping presents a new cartographic functionality aimed to improve the existing GIS approaches through more flexible mapping techniques (Desalegn & Mulu, 2021;Bagyaraj et al, 2019;Klaučo et al, 2013aKlaučo et al, , 2013bAhmad et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Seismicity in the Afar Depression and Great Rift Valley, Ethiopia

Lemenkova

2022

EREM

View full text Add to dashboard Cite

Integrated mapping is essential in geological studies to assess risks of earthquake hazards. Cartographic techniques have become a commonplace approach to visualizing data in the continuous geologic and geophysical fields. However, traditional GIS mapping is a manual process with a time-consuming workflow that can lead to mistakes and misinterpretation of data. This study applied two mapping approaches to address this problem: Generic Mapping Tools (GMT) used for automated cartographic workflow employing scripts and QGIS used for traditional geologic mapping. The study area includes Ethiopia, notable for its complex geologic setting. The study aimed to analyse the relationships between the geophysical, geological, topographic and seismic setting of the country by presenting six new thematic maps:1 topography based on the GEBCO/SRTM15+ high-resolution grid;2 geological units with consistent lithology and age from the USGS database;3 geological provinces with major Amhara Plateau and Somali Province using USGS data;4 geoid based on the Earth Gravitational Model 2008 (EGM-2008) grid;5 free-air gravity anomaly model using satellite-based remote sensing data;6 seismicity showing earthquakes and volcanos from 05/03/1990 to 27/11/2020.The comparison of the topography, seismicity, geophysics and surface geology of the Afar Depression and the Great Rift Valley was based partly on extant literature on the geologic setting of Ethiopia which primarily focuses upon discussing tectonic processes that took place in the East African Rift System in the past. The current study contributes to the previous research and increases cartographic data on the geology and geophysics of Ethiopia. The outcomes can be implemented in similar regional projects in Ethiopia for geophysical and geological monitoring.

show abstract

“…The application of RS and GIS in groundwater resource exploration has become a milestone in groundwater research that provides substantial support for analyzing, monitoring, and protecting groundwater resources [8,46]. Incorporating RS and GIS into groundwater potentiality mapping allows for data storage, manipulation, and analysis [44,47]. Integrated GIS and RS with AHP prove that it is a handy tool for delineating potential groundwater zones by reducing time and cost [4,17,32,37,41,44,45,[48][49][50].…”

Section: Introductionmentioning

confidence: 99%

“…As groundwater is dynamic, RS data integration into the GIS is convenient for identifying the potential groundwater zones (GWPZ). [41] x x x x x x x x Karimi-Rizvandi et al, [39] x x x x x x x x x x Aslan and Çelik, [17] x x x x x x x x x Jhariya et al, [40] x x x x x x x x Sarwar et al, [52] x x x x x x x Nasir et al, [36] x x x x x x x Kumar et al, [37] x x x x x x x x x x Dilekoglu and Aslan, [49] x x x x x x x x x Khan et al, [38] x x x x x x x x x Abijith et al, [44] x x x x x x x x Achu et al, [32] x x x x x x x Ajay Kumar et al, [50] x x x x x x x Ahmad et al, [47] x x x x x x x x Arefin, [31] x x x x x x x x x x Arya et al, [56] x x x x x x x x x x Bhunia, [57] x x x x x x x Qadir et al, [58] x x x x x x Lentswe and Molwalefhe, [48] x x x x x Sl-Slope, Lu-Land use, Ge-Geology, Li-Lithology, Gm-Geomorphology, Rf-Rainfall, SPi-Stream Power Index, El-Elevation, So-Soil, Ld-lineament density, Rd-River density, If-Infiltration TWi-Topographic wetness index, STi-Sediment transport index, Cu-Curvature, Dd-Drainage density, Al-Altitude, Dr-Distance from the river, Aq-Aquifer, Dg-Depth to groundwater.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

Pathmanandakumar

Thasarathan

Ranagalage

2021

IJGI

View full text Add to dashboard Cite

The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the main objective of this study is to delineate potential groundwater zones in Kilinochchi, Sri Lanka, using integrated remote sensing (RS), geographic information systems (GIS) and the analytical hierarchy process (AHP). Groundwater potential zones are demarcated for the Kilinochchi district by overlaying thematic layers: geology, geomorphology, land use/land cover, soil types, drainage density, slope, lineament, and rainfall. The thematic layers were integrated into a geographic information system, and a weighted overlay analysis was carried out to delineate groundwater zones. Thus the resultant map is categorized into five different potential zones: very low (59.12 km2), low (207.78 km2), moderate (309.89 km2), high (507.74 km2), and very high (111.26 km2). The groundwater potential map was validated with the existing seventy-nine wells, which indicated a good prediction accuracy of 81.8%. This suggests that the results obtained by integrating RS-GIS and AHP are well-matched with the existing well water depth. The AHP approach based on RS-GIS was a handy and efficient technique for assessing potential groundwater zones. This research will help policymakers better manage the Kilinochchi district’s groundwater resources and give scope for further research into groundwater exploration in the area.

show abstract

GIS and fuzzy logic techniques-based demarcation of groundwater potential zones: A case study from Jemma River basin, Ethiopia

Cited by 33 publications

References 24 publications

An integrated geospatial multi-influencing factor approach to delineate and identify groundwater potential zones in Kabul Province, Afghanistan

An integrated geospatial multi-influencing factor approach to delineate and identify groundwater potential zones in Kabul Province, Afghanistan

Seismicity in the Afar Depression and Great Rift Valley, Ethiopia

An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

Contact Info

Product

Resources

About