Application of Remote Sensing, GIS and Hydrogeophysics to Groundwater Exploration in parts of Lagos Metropolis: A case study of Oshodi/Isolo LGA

Productivity through groundwater is quite high as compared to surface water, but groundwater resources have not yet been properly exploited. The present study is used to delineate various groundwater potential zones for the assessment of groundwater availability in Lagos metropolis using remote sensing and GIS and hydrogeophysics techniques. Landsat 8, SRTM, geological, soil, and rainfall data were used in the study to prepare various thematic maps, viz., geomorphological, slope, soil, lineament density, rainfall and land use maps. On the basis of relative contribution of each of these maps towards groundwater potential, the weight of each thematic map have been selected and assigned to each map. Hydrogeophysics investigation using Vertical Electric Sounding (VES) was applied to validate the remote sensing and GIS results. All the thematic maps have been registered with one another through ground control points and integrated using the weighted overlay method in GIS for computing groundwater potential index. Based on the methological approach, the ground water potential zones were delineated. The results showed that there are five categories of groundwater potential zones within the study area in which percentage values were contained in each of the categories thereby making major portion of the study area “high” and “moderate” prospect while a few scattered areas have “low” prospect. The very high potential areas are mainly concentrated along the River Alluvium while the “very low” prospect are majorly where there is sand and clay. The best groundwater potential zone is in the southern part due to the presence of fractures, swamp soils which have high infiltration ability and the presence of waterbody which is chiefly accountable for the groundwater recharge in any area. The VES data showed the depth of the aquifer for good water and the polluted aquifer within the study area.

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Modeling Groundwater Potential Zones for Sustainable Water Resource Management in Khyrasol Block, Birbhum District West Bengal India Using Remote Sensing and GIS Techniques

10.20944/preprints202103.0163.v1 ◽

2021 ◽

Author(s):

Sujit Das ◽

Soumen Chatterjee

Keyword(s):

Remote Sensing ◽

West Bengal ◽

Groundwater Resources ◽

Groundwater Potential ◽

Remote Sensing And Gis ◽

Groundwater Potential Zone ◽

Groundwater Potential Zones ◽

Thematic Maps ◽

Gis Techniques ◽

Birbhum District

Remote sensing and Geographical Information System (GIS) have played an important role in exploration and management of groundwater resources. In this study, we present modeling of groundwater potential zone in Khoyrasol block in Birbhum district, West Bengal by using remote sensing and GIS techniques. The objective of the study is to explore groundwater as well as surface water availability in different geomorphic units. Different thematic maps of geology, hydro-geomorphology, lineament, slope, land use/land cover (LULC), depth to water level and soil maps are prepared and groundwater potential zones are obtained by overlaying all thematic maps in terms of Weightage Index Overlay (WIO) method. All the thematic map classes have been assigned weightage according to their role in groundwater occurrence. Finally, groundwater potential zones are classified into four categories viz., excellent, good to medium, medium to poor and poor. The outcome of the present research work will help the local farmers, decision-maker, researchers and planners for exploration, monitoring, and management of groundwater resources for this study area.

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Using GIS and Remote Sensing Techniques for Delineation of Groundwater Potential Zones - A Case Study of the Titel Municipality, Serbia

10.5194/egusphere-egu2020-22150 ◽

2020 ◽

Author(s):

Mirjana Radulović ◽

Tijana Đorđević ◽

Nastasija Grujić ◽

Branislav Pejak ◽

Sanja Brdar ◽

...

Keyword(s):

Remote Sensing ◽

Groundwater Resources ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Gis And Remote Sensing ◽

Freshwater Resource ◽

Artificial Surface

Dramatic population growth and climate change lead to an increasing demand for groundwater resources. According to The 2018 edition of the United Nations World Water Development Report, nearly 6 billion people will face severe water scarcity by 2050. Groundwater represents the world&#8217;s largest available freshwater resource and it is essential for domestic purpose, industrial, and agricultural uses. Therefore, it is very important to identify the potential locations for new groundwater zones development. Here, we utilized geographic information system (GIS) and remote sensing (RS) techniques for the delineation of groundwater potential zones in the Titel Municipality, located in the Autonomous Province of Vojvodina. The groundwater in the study area is affected by elevation difference, agricultural production, and its geographical position. Titel Municipality has a very good agriculture potential that can be only fully exploited by improving groundwater management. Considering that, for the delineation of groundwater potential zones we prepared 6 thematic layers such as geology, geomorphology, land use/land cover, soil, drainage density, and slope. According to their relevant importance in groundwater occurrence, all layers and their features were assigned weights using the Saaty&#8217;s scale. Weights of layers were normalized using analytical hierarchical process techniques (AHP). Finally, layers were integrated and overlaid using QGIS software for generating the Groundwater Potential Zone (GWPZ) map of the study area. As a result, the groundwater potential zones in the Titel Municipality were characterized and classified into five classes as very good (7.13%), good (35.44%), moderate (21.27%), poor (31.41%) and very poor (3.11%). With these techniques, we showed that very good and good groundwater zones are predominantly located in the alluvial plain and the lower river terrace, while poor zones mostly evident on the landform of the loess plateau and artificial surface. The GWPZ map will serve as a useful guide for sustainable management and utilization of the region as well as to improve the irrigation facility and develop the agriculture productivity of the area.

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Regional Assessment of Groundwater Potential Zone Using Remote Sensing, GIS and Multi Criteria Decision Analysis Techniques

NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES ◽

10.46912/napas.201 ◽

2020 ◽

Vol 3 (3b) ◽

pp. 99-111

Author(s):

JS Ejepu

Keyword(s):

Remote Sensing ◽

Decision Analysis ◽

Groundwater Resources ◽

Groundwater Potential ◽

Groundwater Exploration ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Resource Exploitation ◽

Multi Criteria Decision Analysis

The growing demand for freshwater for domestic and industrial purposes is a current challenge in the Upper Niger River Basin Development Authority area. Consequently, there is heavy demand for groundwater resources to meet this need. This challenge has worsened due to the non-incorporation of integrated methods in groundwater exploration campaigns. Innovative scientific principles and quantitative assessment of groundwater resources are required for sustainable and proper management of the resources. Therefore, the objective of this paper is to exploit the potential application of remote sensing, Geographic Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques in mapping groundwater potential zones. To achieve this, seven factors deemed to have significant control over the occurrence and movement of groundwater viz. geology, lineament density, slope, drainage density, rainfall, land-use/land cover, and soil class were produced. These factors were assigned weights and normalized with respect to their relative contributions to groundwater occurrence using the Analytic Hierarchy Process (AHP). This resulted in groundwater potential zones that have been classified into four: Very good, Good, Moderate and Poor representing 7%, 27%, 43%, and 23% respectively. This result represents groundwater potential in the area and should be used as a preliminary reference in selecting prospective sites for detailed groundwater resource exploitation

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Groundwater Potential Zones in Relation to Catchment Condition in Orenburg, Russia

Information Technology and Nanotechnology ◽

10.18287/1613-0073-2019-2391-60-65 ◽

2019 ◽

pp. 60-65

Author(s):

K Choudhary ◽

M S Boori ◽

A Kupriyanov

Keyword(s):

Remote Sensing ◽

Land Use ◽

Remote Sensing Data ◽

Ground Truth ◽

Groundwater Potential ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Ground Truth Data ◽

Groundwater Availability ◽

Sensing Data

The main objective of this study was to detect groundwater availability for agriculture in the Orenburg, Russia. Remote sensing data (RS) and geographic information system (GIS) were used to locate potential zones for groundwater in Orenburg. Diverse maps such as a base map, geomorphological, geological structural, lithology, drainage, slope, land use/cover and groundwater potential zone were prepared using the satellite remote sensing data, ground truth data, and secondary data. ArcGIS software was utilized to manipulate these data sets. The groundwater availability of the study was classified into different classes such as very high, high, moderate, low and very low based on its hydro-geomorphological conditions. The land use/cover map was prepared using a digital classification technique with the limited ground truth for mapping irrigated areas in the Orenburg, Russia.

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Mapping of Groundwater potential zones in Lingasugur Taluk in North-eastern part of Karnataka, India using Remote Sensing, GIS and multi-criteria data analysis

Disaster Advances ◽

10.25303/1412da1322 ◽

2021 ◽

Vol 14 (12) ◽

pp. 13-22

Author(s):

Ajgaonkar Swanand ◽

S. Manjunatha

Keyword(s):

Remote Sensing ◽

Groundwater Resources ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Exploration ◽

Geographical Information ◽

Groundwater Potential Zones ◽

Thematic Maps ◽

North Eastern

Groundwater research has evolved tremendously as presently it is the need of society. Remote Sensing (RS) and Geographical Information System (GIS) are the main methods in finding the potential zones for the groundwater. They help in assessing, exploring, monitoring and conserving groundwater resources. A case study was conducted to find the groundwater potential zones in Lingasugur taluk, Raichur District, Karnataka State, India. Ten thematic maps were prepared for the study area such as geology, hydrogeomorphology, land use/ land cover, soil type, NDVI, NDWI, slope map, lineament density, rainfall and drainage density. A weighted overlay superimposed method was used after converting all the thematic maps in raster format. Thus from analysis, the classes in groundwater potential were made as very good, moderate, poor and very poor zones covering an area of 10.1 sq.km., 169.25 sq.km., 1732.31 sq.km. and 53.66 sq.km. respectively. By taking the present study into consideration, the future plans for urbanization, recharge structures and groundwater exploration sites can be decided.

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Geospatial delineation and mapping of groundwater potential in Embu County, Kenya

Acque Sotterranee-Italian Journal of Groundwater ◽

10.7343/as-2019-369 ◽

2019 ◽

Vol 8 (2) ◽

Cited By ~ 1

Author(s):

Mary Christine Chepchumba ◽

James M. Raude ◽

Joseph K. Sang

Keyword(s):

Groundwater Resources ◽

Principal Component ◽

Groundwater Potential ◽

Geographical Information ◽

Landsat 8 ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Study Approach ◽

Rs And Gis ◽

Groundwater Potential Map

Integration of Remote Sensing (RS) and the Geographical Information System (GIS) approaches in the field of groundwater resources management is a breakthrough. The RS and GIS geospatial approaches can enhance the assessment, monitoring, and conservation of groundwater resources. In this study, RS and GIS geospatial techniques were applied with the aim of identifying groundwater potential zones in Embu County, Kenya, based on selected multi influencing factors. Lineament layer was obtained by processing Landsat 8 ETM+ image using Principal Component Analysis in ENVI®4.7 and automatic extraction from Principal Component Image using the LINE module in Geomatica software. The resultant groundwater potential map showed that approximately 78% of the total area ranged from ‘high’ to ‘very high’ zones indicating that almost half of the study area has good groundwater potential. About 20% showed moderate potential while only 2% fell under the low potential zone. The proposed study approach can be used as a new way of modeling geospatial data for identification and mapping of groundwater potential zones. The study findings are useful to first-hand information planners and local authorities for assessment, planning, management and administration of groundwater resources in Embu County.

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