scholarly journals Application of Geoelectrical Survey and Time-Lapse Resistivity with Groundwater Data in Delineating a Groundwater Potential Map: A Case Study from Phuket Island, Thailand

2021 ◽  
Vol 14 (1) ◽  
pp. 397
Author(s):  
Avirut Puttiwongrak ◽  
Ratha Men ◽  
Sakanann Vann ◽  
Kiyota Hashimoto ◽  
Thongchai Suteerasak
Keyword(s):  
Time Lapse ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Potential Zone ◽  
Exploration And Exploitation ◽  
Reliable Assessment ◽  
Potential Map ◽  
Groundwater Potential Map ◽  
Dar Zarrouk Parameters

Phuket is well-known around the world as a popular tourist destination. Tourism-related population growth depends more on groundwater as the only available source of potable water in Phuket. The proper precautions must be taken to reduce the risk of spending large sums of money in sinking abortive boreholes, and a groundwater potential map would enhance the success rate of future groundwater exploration and exploitation in the study area. Geoelectrical surveys were carried out in this study to collect electrical properties of the subsurface, and the Dar-Zarrouk parameters (DZP) were calculated using the geoelectrical data. The first thematic groundwater potential map was constructed using the interpretation of DZP, while the second thematic groundwater potential map was created using the basis maps of the depth-of-basement and aquifer thickness parameters. Finally, two thematic maps based on geographic information system (GIS) environments were overlaid on a groundwater potential map of Phuket. However, in order to provide a reliable assessment of groundwater potential, time-lapse electrical resistivity imaging was used to confirm the area of the high-potential zone indicated on the map. The map created by this study is aimed to act as a reference for future groundwater exploration and exploitation, preventing water supplies from becoming unsustainable through botched borehole drilling for groundwater production.

scholarly journals Estimation of Dar-Zarrouk parameters and delineation of groundwater potential zones in Karlahi, part of Adamawa Massif, Northeastern Nigeria

Warta Geologi ◽  
2021 ◽  
Vol 47 (2) ◽  
pp. 103-112
Author(s):  
S.N. Yusuf ◽  
◽  
J.M. Ishaku ◽  
W.M. Wakili ◽  
◽  
...  
Keyword(s):  
Groundwater Potential ◽  
Groundwater Potential Zones ◽  
North Central ◽  
Longitudinal Conductance ◽  
The North ◽  
Transverse Resistance ◽  
Potential Map ◽  
Groundwater Potential Map ◽  
Potential Groundwater ◽  
Dar Zarrouk Parameters

Karlahi is largely underlain by granites and migmatites gneiss of the Adamawa Massif. The area lies west of Benue Trough and east of Cameroon volcanic line. The aim of this paper is to determine hydraulic properties of water bearing layer using parameters derived from Dar-Zarrouk equation and characterized them into groundwater potential zones. The resistivity values of the weathered and slightly weathered layers which make up the water bearing layers were added and an average was taken and used as the resistivity of the water bearing formation in computation of Dar-Zarrouk parameters in Karlahi area. The values of resistivity of water bearing formation ranged from 18 to 4963 Ωm with an average resistivity value of 549 Ωm and the thickness of the water bearing formation ranges from 21 to 32 m with an average thickness of 24.5 m. Conductivity values range from 0.000201 to 0.05509 (σ) while the longitudinal conductance range from 0.00483 to 1.2363 Ω-1, the transverse resistance ranges from 407 to 123504.3 Ωm2. The hydraulic conductivity and transmissivity values range from 0.14 to 25.87 m/day and 3.28 to 580.4 m2/day respectively. The longitudinal conductance values in Karlahi area revealed poor to good with an average longitudinal conductance value that is moderate. High transverse resistance values are located in the central and southern part of Karlahi area while low values are located in the eastern part. The spatial distribution map of transmissivity in the area revealed moderate to high transmissivity values in the north central part and a negligible to low transmissivity in southern part, extreme northeastern part. The groundwater potential map of Karlahi area shows negligible to weak potential groundwater zones in SW and SE, moderate potential in the central to northern part of Karlahi area.

Delineation of the Groundwater Potential Using Remote Sensing and GIS: A Case Study of Ulhas Basin, Maharashtra, India

2019 ◽  
Vol 31 (1) ◽  
pp. 49-64
Author(s):  
Arjun Doke
Keyword(s):  
Remote Sensing ◽  
Influencing Factor ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Artificial Groundwater Recharge ◽  
Economic Activities ◽  
Potential Map ◽  
Groundwater Potential Map ◽  
Gis Environment

Abstract Groundwater is one of the most valuable natural resources which is essential for the environmental, biological and socio-economic activities. The present paper aims to delineate groundwater potential of Ulhas basin in India through remote sensing and geographical information system. Several groundwater influencing factors such as geology, geomorphology, slope, landuse, rainfall, lineaments are mapped in GIS environment. Later, these factors were ranked on the basis of their influence on the groundwater potential of a region. After that all these factors were integrated together in GIS environment to prepare the groundwater potential map of Ulhas basin. By implementing influencing factor, it is observed that about 21%, 50% and 29% areas are falling under high, moderate, and low groundwater potential zones, correspondingly. The present study is highly valuable to the policymakers, administrative bodies, engineers for management of groundwater and preparing sustainable water resource plans in Ulhas basin. Additionally, the present paper will help to construct artificial groundwater recharge plan in the study area.

Assessment and Modeling of Groundwater Potential Zones by using Geospatial and Decision-making approaches: A case study in Anantapur district, Andhra Pradesh, India

2021 ◽  
Vol 5 (1) ◽  
pp. 34-44
Author(s):  
B. Pradeep Kumar ◽  
K. Raghu Babu ◽  
M. Rajasekhar ◽  
M. Ramachandra
Keyword(s):  
Andhra Pradesh ◽  
Primary Source ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Thematic Layers ◽  
Total Study Area

Freshwater scarcity is a major issue in Rayalaseema region in Andhra Pradesh (India). Groundwater is the primary source of drinking and irrigation water in Anantapur district, Andhra Pradesh, India. Therefore, it is important to identify areas having groundwater potential; however, the current methods of groundwater exploration consume a lot of time and money. Analytic Hierarchy Process (AHP)-based spatial model is used to identify groundwater potential zones in Anantapur using remote sensing and GIS-based decision support system. Thematic layers considered in this study were geology, geomorphology, soils, land use land cover (LULC), lineament density (LD), drainage density (DD), slope, and rainfall. According to Saaty’s AHP, all these themes and individual features were weighted according to their relative importance in groundwater occurrence. Thematic layers were finally combined using ArcGIS to prepare a groundwater potential zone map. The high weighted value area was considered a groundwater prospecting region. Accordingly, the GWPZ map was classified into four categories: very good, good, moderate, and poor. The very good GWPZ area is 77.37 km2 (24.93%) of the total study area. The northeastern and southeastern sections of the study area, as well as some medium patches in the center and western regions, are covered by moderate GWPZs, which cover an area of 53.07 km2 (17.10%). However, the GWP in the study area’s central, southwestern, and northern portions is poor, encompassing an area of approximately 79.31 km2 (25.56%). Finally, RS and GIS techniques are highly effective and useful for identifying GWPZs.

scholarly journals GIS-Based Groundwater Potential Assessment in Varied Topographic Areas of Mianyang City, Southwestern China, Using AHP

2021 ◽  
Vol 13 (22) ◽  
pp. 4684
Author(s):  
Qing Zhang ◽  
Shuangxi Zhang ◽  
Yu Zhang ◽  
Mengkui Li ◽  
Yu Wei ◽  
...  
Keyword(s):  
Water Supply ◽  
Groundwater Potential ◽  
Southwestern China ◽  
Borehole Data ◽  
Hydrological Data ◽  
Potential Map ◽  
Groundwater Potential Map ◽  
Emergency Water Supply ◽  
Post Disaster ◽  
Geological Background

Mianyang City is located in the varied topographic areas of Sichuan Province in southwestern China and is characterized by a complex geological background. This area is prone to disasters and its varied topography is inconvenient for emergency water storage and supply. Groundwater is essential for alleviating the demand for water and post-disaster emergency water supply in this area. This study applied AHP to integrate remote sensing, geological and hydrological data into GIS for the assessment of groundwater potential, providing a plan for the rational exploitation of groundwater and post-disaster emergency water supply in the area. Nine factors, including the spring calibration related to groundwater, were integrated by AHP after multicollinear checks. As a result, the geology-controlled groundwater potential map was classified into five levels with equal intervals. All the results were validated using borehole data, indicating the following: the areas with yield rates of , 1–20 , and 20–400 accounted for 2.66%, 36.1%, and 39.62%, respectively, whereas the areas with yield rates of 400–4000 and accounted for only 20.88% and 0.75% of the overall area. The flexibility of this quick and efficient method enables its application in other regions with a similar geological background.

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

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.

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

2019 ◽  
Vol 8 (2) ◽  
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.

scholarly journals Hydrogeological Study in and around Birendranagar Municipality, Surkhet Valley, Mid-Western Nepal

2020 ◽  
Vol 22 ◽  
pp. 41-48
Author(s):  
Roshani B. C. ◽  
Dinesh Pathak ◽  
Ramesh Gautam
Keyword(s):  
Resource Assessment ◽  
Groundwater Potential ◽  
Groundwater Resource ◽  
Sediment Distribution ◽  
North East ◽  
Hydrogeological Study ◽  
Potential Map ◽  
Groundwater Potential Map ◽  
Groundwater Resource Assessment ◽  
Dug Well

This study is carried out in parts of Surkhet valley, which is one of the Dun valleys (Inner Terai) in Nepal. Tubewell data was collected, dug well inventory with water table measurement was carried out followed by the data analysis leading to the groundwater resource assessment of the study area. The subsurface sediment distribution in the study area consist clay, sand and gravel giving rise to multiple aquifer horizons. Groundwater potential map has been prepared for parts of Surkhet valley and groundwater resource assessment has been carried out for the entire valley. Groundwater potential map was prepared using various thematic layers. Weights and rank were assigned, respectively to each thematic layer and its classes based on their significance for the groundwater occurrence. Most of the study area has medium groundwater potential with low potential at north east and high potential at southeast of the study area. The groundwater resource assessment for the valley, carried out by water balance method and aquifer analysis reveals that there is good groundwater reserve in the valley that can significantly fulfill the water demand in the area if properly exploited with required management of land and water resources in the area.

scholarly journals Groundwater Potential Mapping Using an Integrated Ensemble of Three Bivariate Statistical Models with Random Forest and Logistic Model Tree Models

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1596 ◽  
Author(s):  
S. Vahid Razavi-Termeh ◽  
Abolghasem Sadeghi-Niaraki ◽  
Soo-Mi Choi
Keyword(s):  
Data Mining ◽  
Random Forest ◽  
Statistical Models ◽  
Logistic Model ◽  
Characteristic Curve ◽  
Groundwater Potential ◽  
Model Tree ◽  
Potential Map ◽  
Groundwater Potential Map ◽  
Logistic Model Tree

In the future, groundwater will be the major source of water for agriculture, drinking and food production as a result of global climate change. With increasing population growth, demand for groundwater has increased. Therefore, sustainable groundwater storage management has become a major challenge. This study introduces a new ensemble data mining approach with bivariate statistical models, using FR (frequency ratio), CF (certainty factor), EBF (evidential belief function), RF (random forest) and LMT (logistic model tree) to prepare a groundwater potential map (GPM) for the Booshehr plain. In the first step, 339 wells were chosen and randomly split into two groups with groundwater yields above 11 m3/h. A total of 238 wells (70%) were used for model training, and 101 wells (30%) were used for model validation. Then, 15 effective factors, including topographic and hydrologic factors, were selected for the modeling. The accuracy of the groundwater potential maps was determined using the ROC (receiver operating characteristic) curve and the AUC (area under the curve). The results show that the AUC obtained using the CF-RF, EBF-RF, FR-RF, CF-LMT, EBF-LMT and FR-LMT methods were 0.927, 0.924, 0.917, 0.906, 0.885 and 0.83, respectively. Therefore, it can be inferred that the ensemble of bivariate statistic and data mining models can improve the effectiveness of the methods in developing a groundwater potential map.

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