Delineation Of Groundwater Potential Zones Research Articles

Hydrogeological delineation of groundwater potential zones in the Nabogo basin, Ghana

This study has delineated groundwater potential zones of the Nabogo basin and categorized the northern and eastern parts, representing about 35% of the total basin, as the most suitable areas for groundwater prospecting. The inhabitants of the basin depend on rainfall and small surface reservoirs for their various water supply needs, which become very scarce and unsustainable in the dry seasons due to the arid to semi-arid conditions of the basin. Thus, groundwater is increasingly being exploited to supplement the water needs of the populace. However, groundwater development in the basin is sometimes hindered by relatively low success rate of boreholes. Therefore, this study was aimed at delineating the groundwater potential zones of the basin to improve on development of the resource for supply to the populace. The methodology used involved acquisition of data on well-distributed boreholes in the basin, computation of transmissivity and specific capacity values from the data, and delineation of potential groundwater zones through integration of borehole yields, regolith thickness, static water level and transmissivity using the weighted overlay technique in a GIS environment. The study results indicate that transmissivity ranges from 0.1 to 535 m2/day with a mean of 19.7 m2/day while the specific capacity ranges from 0.25 to 170.88 m3/day/m with a mean of 13.42 m3/day/m. A groundwater potential map generated categorizes the basin into poor, moderate and high zones covering 652.52 km2, 1250.45 km2 and 1002.23 km2 respectively, which would be very useful for groundwater development.

Delineation of groundwater potential zones of Atrai–Sib river basin in north-west Bangladesh using remote sensing and GIS techniques

Present research work is carried out in the Atrai–Sib river basin in the drought-prone but agro-based Barind area in the north-west of Bangladesh to delineate the groundwater potential zones using integrated approach of remote sensing (RS) and geographic information system (GIS)-based multi-criteria evaluation. Decreasing trend in rainfall along with increasing population in this drought-prone area calls for a sustainable development of the groundwater resource. The river basin possesses dendritic drainage pattern and major portion of runoff water allows more infiltration to recharge the groundwater and is, therefore, a potential for groundwater occurrence. The gentle to flat river basin is of ‘excellent’ category for groundwater management because of favorable infiltration to maximum time of runoff percolation. Here, seven different thematic layers such as, geomorphology, drainage density, rainfall, lithology, lineament density, slope and land use/ land cover (LULC) are integrated in GIS environment to study groundwater potentiality. Corresponding normalized rates for the classes in a layer and weights for the thematic layers are computed using Saaty’s Analytical Hierarchy Process (AHP), and then aggregated thematic map is prepared using a weighted linear combination (WLC) method. Map-removal and single-parameter sensitivity analysis are used to examine the effects of removing any thematic layer on the groundwater potential zones and to compute effective weight, respectively. About 226 km2 (6% of the study area) is designated as very good groundwater potential zone, whereas that of good, moderate, very poor and poor groundwater potential zones cover 407 km2 (11%), 720 km2 (19%), 997 km2 (26%) and 1418 km2 (38%), respectively. Sensitivity analysis shows that the groundwater potential zonation in the study area is most sensitive to lineament density (mean variation index 2.66), which is the most effective thematic layer in the groundwater potentiality zone (mean effective weight of 27.13%) and supports the need for future river basin development and management. This study can help to identify the groundwater potential zones of this drought-prone area that will lead towards the planning of the integrated water resources management.

Groundwater resources evaluation using geospatial technology

Groundwater is water located beneath the ground surface in soil pore spaces and in the fractures of lithologic formations. The advent of remote sensing and geographic information systems (GIS) has opened up new vistas in groundwater prospect evaluation, exploration, and management. This paper mainly deals with the integrated approach of remote sensing and GIS to delineate groundwater potential zones in of parts of Palar basin. Digitized vector maps pertaining to chosen parameters, namely, geomorphology, geology, land use/land cover, lineament, relief, and drainage, were converted to raster data using 23 m2 (76 ft2) grid cell size. The raster maps of these parameters were assigned to their respective theme weight and class weights. The individual theme weight was multiplied by its respective class weight, and then all the raster thematic layers were aggregated in a linear combination equation in ArcMap GIS Raster Calculator module. Moreover, the weighted layers were statistically modeled to get the areal extent of groundwater prospects with respect to each thematic layer. The final result depicts the favorable prospective zones in the study area and can be helpful to better plan exploration and management.

Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: a case study in the Leylia–Keynow watershed, southwest of Iran

In this research, a standard methodology has been applied to delineate groundwater resource potential zonation based on integrated remote sensing (RS), geographic information system (GIS), and analytical hierarchy process (AHP) techniques in Leylia–Keynow watershed, southwest of Iran. A total of five sets of criteria/factors (including lineament density, rainfall, lithology, slope, and drainage density) believed to be influencing groundwater storage potential in the area were selected. Each criterion/factor was assigned appropriate weight based on Saaty’s 9-point scale and the weights were normalized through the analytic hierarchy process (AHP). The process was integrated in the GIS environment to produce the groundwater potential prediction map for the area. The fi9-p groundwater prospect map obtained was classified as excellent potential, very good potential, good potential, moderate potential, and poor potential zone. The obtained results indicated that only 21% (122 km2) of the study area exhibit poor groundwater potential, whereas most of the regions (326 km2) in the research showed good to excellent groundwater potential. Also, about 24% (141 km2) was classified as having moderate groundwater potential. The good to excellent potential zones are characterized by the higher lineament density, higher rainfall, and lithology type such as limestone, whereas the poor to moderate groundwater potential zones are characterized by the lesser lineament density, lower rainfall, lithology type of shale and marl as well as shale and limestone. Based on the obtained evidences, the tectonic structures had an important role in fracturing and crushing of limestone units in the area and so are vital for karst and ground water sources development. The demarcation of groundwater potential zones in the Leylia–Keynow watershed will be helpful for future planning, development and management of the groundwater resources.

Geospatial technique for delineation of groundwater potential zones in mine and dense forest area using weighted index overlay technique

In the present study, groundwater potential zones for the assessment of groundwater availability in Samij sub-basin, which lies in Tensa valley of Sunderghar district, Odisha were established with the integration of remote sensing and geographical information system support. Delineation of potential groundwater zones in the study area was done using the IRS-LISS III, Cartosat-I satellite data of 30m resolution and Survey of India toposheets. Various thematic layers viz., geomorphology, slope, land-use, lineament density, drainage density, and soil map generated in this study were transformed to raster data using the feature to raster converter tool in ArcGIS 9.3. The integration of all the thematic maps results into five groundwater potential zones: poor, moderate, good, very good, and excellent. Further, the weighted range for various groundwater potential zones was categorized as excellent (7.10–8.00), very good (6.1–7.0), good (5.1–6.0), moderate (4.1–5.0), and poor (0.0–4.0). The results were compared with the vertical electrical sounding survey data for ground truth cross-verification. The results showed that the study area falls within the range of ‘moderate to good’ groundwater potential zones, which accounts for about 75% of the total study area.

Use of geospatial technology for delineating groundwater potential zones with an emphasis on water-table analysis in Dwarka River basin, Birbhum, India

Dwarka River basin in Birbhum, West Bengal (India), is an agriculture-dominated area where groundwater plays a crucial role. The basin experiences seasonal water stress conditions with a scarcity of surface water. In the presented study, delineation of groundwater potential zones (GWPZs) is carried out using a geospatial multi-influencing factor technique. Geology, geomorphology, soil type, land use/land cover, rainfall, lineament and fault density, drainage density, slope, and elevation of the study area were considered for the delineation of GWPZs in the study area. About 9.3, 71.9 and 18.8% of the study area falls within good, moderate and poor groundwater potential zones, respectively. The potential groundwater yield data corroborate the outcome of the model, with maximum yield in the older floodplain and minimum yield in the hard-rock terrains in the western and south-western regions. Validation of the GWPZs using the yield of 148 wells shows very high accuracy of the model prediction, i.e., 89.1% on superimposition and 85.1 and 81.3% on success and prediction rates, respectively. Measurement of the seasonal water-table fluctuation with a multiplicative model of time series for predicting the short-term trend of the water table, followed by chi-square analysis between the predicted and observed water-table depth, indicates a trend of falling groundwater levels, with a 5% level of significance and a p-value of 0.233. The rainfall pattern for the last 3 years of the study shows a moderately positive correlation (R 2 = 0.308) with the average water-table depth in the study area.

Delineation of groundwater potential zones using remote sensing, GIS, and AHP technique in Tehran–Karaj plain, Iran

Evaluation of groundwater resources in dry areas without enough data is a challenging task in many parts of the world, including Tehran–Karaj plain in Iran, which includes Tehran, the capital city of Iran and Karaj, one of Iran’s biggest cities. Water demand due to increasing agricultural and industrial activities caused many problems in the field of water resources management. In this study, the potential of groundwater resources was evaluated using remote sensing, geographic information system (GIS), and analytic hierarchy process (AHP) for the first time. Digital Elevation Model from Shuttle Radar Topography Mission was used to generate a slope map and drainage density map. Three Landsat-8 satellite images were utilized to provide lineament density and land cover/land use maps. Geological and soil type maps were provided from the Geological Survey and Mineral Explorations of Iran (GSI). Tropical Rainfall Measuring Mission data were used to prepare average annual precipitation map. Discharge values from 102 pumping wells in the time period of 2002–2014 were used to evaluate the results. Seven data layers were prepared, and the geodatabase was made in GIS. The layers and their classes were assigned weights using AHP method. Finally, the layers were overlaid based on their weights, and the potential map of groundwater resources was generated. The area was classified into five zones with very high, high, moderate, low, and very low potentials. The zones covered 5.95, 32.90, 22.70, 10.20, and 28.25% of the study area, respectively. The results showed good agreement with the field data obtained from discharge wells.

Delineation of groundwater potential zone for sustainable development: A case study from Ganga Alluvial Plain covering Hooghly district of India using remote sensing, geographic information system and analytic hierarchy process

In the context of considerable change in the use of groundwater pattern, particularly with continuously increasing demand for groundwater due to growing population, expansion of area under irrigation and economic progress, the present paper makes an attempt to delineate groundwater potential zones using integrated remote sensing, geographic information system, and analytic hierarchy process techniques. Integration of geographic information system with analytic hierarchy process can exemplify as a process that transforms and harmonizes geographical data and weightage ranking to retrieve information for accurate decision-making. Accordingly, mapping and identification of groundwater potential zones are carried out in the Ganga Alluvial Plain of Hooghly district of India. Application of the same for Indo-Gangetic plain is made (new approach) to contribute the applicability Geographic Information System and Analytic Hierarchy Process for the delineation of groundwater potential zone. Predominant criteria (e.g., land use, land cover, soil type, geomorphology, geology, elevation, slope, rainfall, normalized difference vegetation index, drainage density, recharge rate, groundwater depth) were employed for computation of groundwater potential index. Overlay weighted sum method is applied to integrate all thematic criteria to generate groundwater potential zone map of the study area. The resulting groundwater potential index map has been classified into three groundwater potential zones, namely good, moderate and poor. Finally, groundwater potential zone map is validated using average groundwater level data from 32 wells scattered over the study area. The findings of the present paper have important implications for designing sustainable groundwater plan in the area.

Geophysical Assessment of Groundwater Potential: A Case Study from Mian Channu Area, Pakistan.

An integrated study using geophysical method in combination with pumping tests and geochemical method was carried out to delineate groundwater potential zones in Mian Channu area of Pakistan. Vertical electrical soundings (VES) using Schlumberger configuration with maximum current electrode spacing (AB/2 = 200 m) were conducted at 50 stations and 10 pumping tests at borehole sites were performed in close proximity to 10 of the VES stations. The aim of this study is to establish a correlation between the hydraulic parameters obtained from geophysical method and pumping tests so that the aquifer potential can be estimated from the geoelectrical surface measurements where no pumping tests exist. The aquifer parameters, namely, transmissivity and hydraulic conductivity were estimated from Dar Zarrouyk parameters by interpreting the layer parameters such as true resistivities and thicknesses. Geoelectrical succession of five-layer strata (i.e., topsoil, clay, clay sand, sand, and sand gravel) with sand as a dominant lithology was found in the study area. Physicochemical parameters interpreted by World Health Organization and Food and Agriculture Organization were well correlated with the aquifer parameters obtained by geoelectrical method and pumping tests. The aquifer potential zones identified by modeled resistivity, Dar Zarrouk parameters, pumped aquifer parameters, and physicochemical parameters reveal that sand and gravel sand with high values of transmissivity and hydraulic conductivity are highly promising water bearing layers in northwest of the study area. Strong correlation between estimated and pumped aquifer parameters suggest that, in case of sparse well data, geophysical technique is useful to estimate the hydraulic potential of the aquifer with varying lithology.

Delineation of groundwater potential zone in hard rock terrain in Gangajalghati block, Bankura district, India using remote sensing and GIS techniques

This study employed with the integration of remote sensing (RS) and geographical information system (GIS) techniques to delineate ground water potential zones for ground water management of Gangajalghati block, Bankura district, West Bengal and is located on the eastern slope of Chotanagpur plateau and area belongs to predominantly Precambrian gneissic terrain, and small area belongs to Gondwana deposits and quaternary sediments. The groundwater in this region is confined within the weathered residuum and fracture zones in pediment region. Survey of India topographical maps and satellite imageries along with other data and field observation data have been utilized to prepare various thematic layers viz. drainage, slope, lineament, geology, hydrogeomorphic units, land-use/land cover, soil, and depth to water level map of this hard rock terrain. All the thematic map that influence ground water occurrences have been analyzed and integrated through GIS analysis based on weights assignment. The weighted index overlay method has been followed to delineate ground water potential zones. The result revealed that the study area can be categorized into four different ground water potential zones viz., very good, good, moderate, and poor zones. The bore well yield data reveals that medium yielding wells (50–100 L per min) are in and around the moderate to high lineament density zone and buried pediment medium region. Afterward validation with well yield data revealed a good correlation with respect to the observed ground water potential zonation. This study is useful for better planning and management of ground water resources as well as providing quick prospective guides for ground water exploration in hard rock aquifer system.

Integrated multi-parameter approach for delineating groundwater potential zones in a crystalline aquifer of southern India

Groundwater resources in the semi-arid regions of southern India are under immense pressure due to large-scale groundwater abstraction vis-a-vis meager rainfall recharge. Therefore, understanding and evaluating the spatial distribution of groundwater is essential for viable utilization of the resource. Here, we assess groundwater potential at the watershed scale, in a semi-arid environment with crystalline aquifer system without a perennial surface water source using remote sensing, geophysical, and GIS-based integrated multi-parameter approach. GIS-based weighed overlay analysis is performed with input parameters, viz., geology, geomorphology, lineament density, land use, soil, drainage density, slope, and aquifer thickness. The watershed is categorized into four zones, namely, “very good” (GWP4), “good” (GWP3), “moderate” (GWP2), and “low” (GWP1) in terms of groundwater potential. Overall, ~ 70% of the study area falls under moderate to low groundwater potential, indicating a serious threat to the future availability of the resource. Therefore, serious measures are required for maintaining aquifer resilience in this over-exploited aquifer (e.g., restricting groundwater withdrawal from GWP1 and GWP2 zones). Further, as the aquifer is under tremendous anthropogenic pressure, rainwater harvesting and artificial recharge during monsoon are advocated for sustainable aquifer management. Due to the direct dependence of crop production vis-a-vis farmer economy on groundwater, this study is an important step towards sustainable groundwater management and can be applied in diverse hydrological terrains.

Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district, Maharashtra

In this paper, an attempt has been made to delineate groundwater potential zones in Hingoli district, Maharashtra, India. Remote sensing and traditional data were collected from different sources and analysed in GIS software to prepare thematic maps of different geo-environmental factors such as lithology, drainage, lineaments, slope etc. as these factors having an impact on groundwater availability of an area, directly or indirectly. All these factors have been integrated into GIS software and multi influence factor method was applied to delineate groundwater potential zones. The result has shown about 50% area is having the good potentiality of groundwater, whereas about 6% region falls under very low potential area. The Central part of the study area is having very low groundwater potential, mainly due to the steep slope and rocky outcrop. The southern part of the Hingoli district has shown good groundwater potential, because of the gentle slope which influences water to infiltrate. All the major towns and villages are located in good groundwater prospect areas. Therefore, these locations do not experience extreme drought conditions. The present work is valuable for future planning and management of groundwater resource in Hingoli district.

Groundwater potential mapping using analytical hierarchical process: a study on Md. Bazar Block of Birbhum District, West Bengal

Delineation of groundwater potential zones based on the scientific technique is essential for the management of groundwater resource and landuse planning. In the present study groundwater potential map has been prepared using the analytical hierarchical process in GIS and remote sensing environment. The AHP method has used to determine the weights of various thematic layers. With the help of linear combination method these weights of thematic layers are added to identify the different groundwater potential zones in the study area, namely ‘very poor’, ‘poor’, ‘fair’, ‘good’ and ‘excellent’. However, the area having very poor, poor, fair, good and excellent groundwater potential is about 34.474, 75.216, 81.484, 81.484 and 40.742 km2 respectively. The groundwater potential zone map has finally validated using the ROC and trend surface analysis technique incorporating the well yield data of 25 pumping wells and groundwater depth data. ROC result shows the area under curve for the AHP model is 0.7776 which corresponds to the prediction accuracy of 77.76% and linear regression coefficient of groundwater depth and its corresponding groundwater potential index is 0.548. Taking together, it could be argued that the AHP model has performed good prediction accuracy.

Delineation of Groundwater Potential Zones in River Basins Using Geospatial Tools—an Example from Southern Western Ghats, Kerala, India

The remote sensing and geospatial tools have wide applications in water resource assessment studies. Satellite images are increasingly being used in groundwater exploration because of their utility in identifying various geomorphic features. The present study has been carried out in two important river basins—the Ithikkara and the Kallada river basins, of Southern Western Ghats, Kerala, India. The groundwater potential zones are delineated from 14 thematic layers such as drainage density, geomorphology, slope, lithology, soil, land use/land cover, lineament density, topographic wetness index, rainfall distribution, roughness, curvature, dissection index, depth to water level and topographic position index using multi-criteria evaluation method. Integration of the factors has been performed in GIS platform using weighted overlay analysis. Different classes of thematic maps have been assigned weights based on influence on groundwater hydrology (through discussions with the experts in the field), and finally, factor ranks are assigned. The final map indicates the potentiality values of groundwater occurrence in the study area, which was classified into three categories—high, moderate and low. A total of 37.2% of the study area fall in low groundwater potential zone, 42.3% in moderate potential zone and 20.5% of the area in high potential zone. The groundwater potential zones delineated using the method are validated with data of springs and dug wells from field investigations, and it was found that the overlay method using GIS and remote sensing gives 95% accuracy.

Delineation of Groundwater Potential Zone in Sengipatti for Thanjavur District using Analytical Hierarchy Process

Purpose of the ground water is very important to in our world. The condition of the ground water level and occurrence is differing from geological nature of earth. The present study, delineate the ground water potential zone in the hard rock terrain of Sengipatti and surrounding area using Remote sensing, Geographical Information System (GIS) and Multi Criteria Decision Making (MCDM) technique. The Analytical Hierarchy Process (AHP) technique is use to determined the weights of the different themes. Thus thematic layers drainage, geomorphology, land use/land cover, slope, lithology are prepare using Geological Survey of India Toposheets and IRS-IC satellite image. The weights are applied to the thematic layers after linear combination of the all layers. Finally delineate the possible ground water potential zone in the study area. Thus prospective zone are classify the three categories high, moderate, low. It has been total study area of the sengipatti region 32.28% of the area is high ground water potential zone and 34.1% area was moderate ground water potential zone and 33.63% area is low ground water potential zone.

Appraising the Accuracy of Multi-Class Frequency Ratio and Weights of Evidence Method for Delineation of Regional Groundwater Potential Zones in Canal Command System

A comparative study of probabilistic frequency ratio (FR) and weights of evidence (WofE) method is performed for delineation of regional groundwater potential zones (GPZ) in canal command system. In the present case study, delineation of GPZ in the Hirakud agricultural command area of Odisha, India. Field discharge data from borewells are utilized for the analysis along with remote sensing (RS) and geographic information system (GIS) techniques. Various influencing attributes responsible for occurrence and movement of groundwater, e.g., land use / land cover, soil type, groundwater depth, geology, elevation, geomorphology, slope, recharge rate, rainfall, normalized difference vegetation index, drainage density, crop intensity are integrated by using GIS platform. Model results from FR and WofE show similar trends. The middle portion of the study area covers the ‘Good’ GPZ. Sensitivity analyses are performed for FR and WofE methods.

Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district, West Bengal

Remote sensing and GIS play a vital role in exploration and assessment of groundwater and has wide application in detection, monitoring, assessment, conservation and various other fields of groundwater-related studies. In this research work, delineation of groundwater potential zone in Birbhum district has been carried out. Various thematic layers viz. geology, geomorphology, soil type, elevation, lineament and fault density, slope, drainage density, land use/land cover, soil texture, and rainfall are digitized and transformed into raster data in ArcGIS 10.3 environment as input factors. Thereafter, multi-influencing factor (MIF) technique is employed where ranks and weights, assigned to each factor are computed statistically. Finally, groundwater potential zones are classified into four categories namely low, medium, high and very high zone. It is observed that 18.41% (836.86 km2) and 34.41% (1563.98 km2) of the study area falls under ‘low’ and ‘medium’ groundwater potential zone, respectively. Approximately 1601.19 km2 area accounting for 35.23% of the study area falls under ‘high’ category and ‘very high’ groundwater potential zone encompasses an area of 542.98 km2 accounting for 11.95% of the total study area. Finally, the model generated groundwater potential zones are validated with reported potential yield data of various wells in the study area. Success and prediction rate curve reveals an accuracy achievement of 83.03 and 78%, respectively. The outcome of the present research work will help the local authorities, researchers, decision makers and planners in formulating better planning and management of groundwater resources in the study area in future perspectives.

Delineation of Groundwater Potential Zone in Baliguda Block of Kandhamal District, Odisha using Geospatial Technology Approach

Assessment of groundwater potential zones is extremely important for protection of water quality and management of groundwater systems. Groundwater Potential Zones (GPZ) are demarcated with the help of geospatial techniques. The parameters, considered for identifying the GPZ such as geology, geomorphology, slope, drainage density, lineament density, rainfall, soil and landuse and land cover (LULC) are generated using satellite data and toposheet. Later, they are integrated with each other applying weighted overlay in ArcGIS. Suitable ranks are assigned for each category of these parameters. For various geomorphic units, weight factors are decided based on their capability to store groundwater. This procedure is repeated for all other layers and resultant layers are reclassified. The groundwater potential zones are classified into three categories like Poor, Good and Excellent. The use of aforesaid methodology is demonstrated in a selected study area in Baliguda block of Kandhamal district in Odisha.

Delineation of groundwater potential zones in rocky aquifers in the mountainous area of Central Nepal

Groundwater is the lifeline for the people residing in the mountainous regions of Nepal as they are dependent in this natural resource for drinking and other domestic purposes. The springs and seepages are reported to be drying in many places in Nepalese mountains in the recent time. Such problem is expected to be much more severe in view of climate change condition in the future. In this regard, it is important to establish a methodology to explore groundwater in the mountainous terrain for better planning. In order to delineate groundwater potential zones of rocky aquifers in the mountainous terrain, study has been carried out in Melamchi watershed, lying in the Sindhupalchowk district, Nepal. Various thematic layers have been prepared in GIS and the satellite imageries have been used to extract relevant information. Ranks and weights have been assigned to each thematic layer and its classes, respectively. The rasterized layers have been combined and classifi ed and the resulting map is crossed with the existing springs. It is found that the moderate and high potential classes of the groundwater potential map are represented by the existing springs. This method is expected to be useful at the preliminary watershed level study of groundwater potential in the mountainous terrain of central Nepal.

Evaluation of Hydrogeomorphological Landforms and Lineaments using Remote Sensing and GIS Techniques in Ramannapet Mandal, Musi River basin, Nalgonda District, Telangana

The IRS -P6 LISS-IV satellite data is used to demarcate Hydrogeomorphology land forms and lineaments on 1;10000 scale to evaluate groundwater potential of the study area. The Ramannapet Mandal area of Musi river basin is occupied mostly by hard rock they are granites and gneisses of Archaean age with intrusive bodies of dolerites, and of the portion of the study area is covered mainly by both wet and dry cultivation. The major geomorphic unit identified in the area are, Denudational hills, Residual hills, Inselbergs, Dykes, Pediment inselberg complex, Pediment, Pediplain and valleys. Most part of the study area is occupied by Pediplain with various thickness and the groundwater potential is directly related to thickness of Pediplain. The object of the study is Remote Sensing imagery with its synoptic coverage acts as a tool for finding suitable solution when combined with conventional data. Hydro-geomorphic maps were prepared by integrating the Lithology, landforms, and structural fabric and hydrology layers and drainage layers using Remote Sensing and GIS techniques, the scale range of 1: 10,000. The lineament density map was generated in GIS software using Kriging method (Sabins, F. F., (1997). Outcomes of the study Based on visual interpretation and field investigations the different types of hydro geomorphic units observed in the study area. The recent alluvium deposits are present along the stream courses. Field observations shows that groundwater occurs under unconfined conditions with water table shallow to deep depth. from the lineament density and lineament intersection maps prepared to understand the impact on groundwater percolation. Finally, Hydrogeomorphology and lineament maps area overlaid following the weighted index overlay method, which delineate groundwater potential zones. an integrated Remote sensing and GIS based approach has been used for demarcating groundwater potential zones in the study area. The study area Ramannapet Mandal is in northern part of the district of Nalgonda, Telangana State, India. The study area people occupation is agricultural, and poultry, 80 percent of the people depending only agricultural activity