Data of remote sensing and GIS - to demarcate the potential sector of groundwater in Debre Berhan, Amhara region, Ethiopia

Bagyaraj, Murugesan; Mengistie, Alemayehu Tenaw; Gopalakrishnan, Gnanachandrasamy; Gemechu, Bedassa

doi:10.1016/j.dib.2019.104542

Cited by 9 publications

(4 citation statements)

References 7 publications

(7 reference statements)

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“…Levels of suitability were decided and supported by data collected from the assorted scientific literature (Aden, 2016; Bagyaraj et al, 2019; Ebistu and Minale, 2013; Elahi and Samadyar, 2014; Kenate, 2017; Singh, 2019; Sisay et al, 2020; Wachira et al, 2014). Thus, all the factors were classified into four classes (highly suitable, moderately suitable, less suitable and unsuitable) with values ranging from 1 to 4.…”

Section: Methodsmentioning

confidence: 99%

“…Selecting appropriate sites and managing solid waste dumping in countries like Ethiopia with limited financial resources and rapid increase in rate are more severe. In many other developing countries, the bulk of inhabitants in most towns of Ethiopia often use unsafe solid waste disposal practices, such as open dumping, burning and burying (Berisa and Birhanu, 2015; Gudeta, 2010; Bagyaraj et al, 2019; Issa and Al Shehhi et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Solid waste dumping site analysis using GIS and remote sensing: Bonga Town, Southwestern Ethiopia

Biru¹,

Endalew²

2021

Waste Manag Res

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The main objective of this study was to select potential solid waste landfill areas suitable for Bonga Town that are environmentally sound. The key data were LANDSAT 8 and SPOT-6 satellite images with a spatial resolution of 15 and 1.5 m, respectively; a digital elevation model with a spatial resolution of 30 m; and a ground control point, which was collected through a ground point survey and a topographic map of the study area. Each parameter was subjected to a peer review according to the analytical hierarchy process. Once the weights were established, the weighted overlap analysis was determined, which combined these criteria and classified them into high, medium, less suitable and inappropriate regions of the study area. The results show that 75.65% of the study area is not suitable for the solid waste landfill, 18.86% less suitable, 5.17% moderately adequate and 0.3% very adequate. Therefore, the ability to use inaccessible geological information framework and detection innovations for mandatory discrimination evidence for a reasonably robust waste dump will minimise opportunities and natural human well-being problems.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Solid waste dumping site analysis using GIS and remote sensing: Bonga Town, Southwestern Ethiopia

Biru¹,

Endalew²

2021

Waste Manag Res

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“…For the groundwater slope gradient is also one of the important parameters in favor of water infiltration (Magesh et al, 2012). Areas with low slopes have low surface runoff & high infiltration rates (Bagyaraj et al, 2019). On the other hand, steep slopes favor rapid discharge of rainwater through runoff and drainage (Mogaji et al, 2015).…”

Section: Thematic Mapsmentioning

confidence: 99%

GIS-Based Bivariate Statistical Model Prediction of Groundwater Potential Mapping for Sustainable Developments in Suez Governorate, Egypt

Kamel

Hafez

2021

Beni-Suef University International Journal of Humanities and So

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One of the primary challenges for sustainable development in semiarid regions like Egypt, is the scarcity of freshwater, making it critical to assess groundwater potential. The purpose of the current study is to predict spatially potential groundwater zones in Suez Governorate (SG), Egypt using (relative frequency prediction rate) integration and Shannon entropy (SE) bivariate statistical models. Sixteen causal factors affecting groundwater instances were assessed in terms of geo-environmental. The results obtained from the current study revealed that these two models can be effectively working for spatial prediction modeling. Furthermore, the RF-PR model results have shown that most paramount factors in groundwater instances in study region were observed in soil units, depth to water table, LU/LC and drainage density whereas SE model reflects LU/LC, lithology, Distance to stream, soil units, and depth to water table respectively. Following by validation analysis of AUCs for both relative frequency-prediction rate and Shannon's models are 0.749 and 0.745, correspondingly, representing that RF-PR outperforms the Shannon's. Finally, groundwater potential zones prediction maps (GPZPm) obtained from both models were categorized into five classes. Current research results are useful for multi-criteria decision makers such as water resources authorities and decision architects to broadly assess the groundwater investigation for future planning.

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“…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

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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.

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Data of remote sensing and GIS - to demarcate the potential sector of groundwater in Debre Berhan, Amhara region, Ethiopia

Cited by 9 publications

References 7 publications

Solid waste dumping site analysis using GIS and remote sensing: Bonga Town, Southwestern Ethiopia

Solid waste dumping site analysis using GIS and remote sensing: Bonga Town, Southwestern Ethiopia

GIS-Based Bivariate Statistical Model Prediction of Groundwater Potential Mapping for Sustainable Developments in Suez Governorate, Egypt

Seismicity in the Afar Depression and Great Rift Valley, Ethiopia

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