Groundwater Potential Zoning in Tikamgarh District of Bundelkhand Using Remote Sensing and GIS (original) (raw)
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Environmental Challenges, 2021
The efficient groundwater utilization, planning and management, is inconceivable without the proper recognition of potential zones. The present study aimed to assess the groundwater potentiality in district Swat, Khyber Pakhtunkhwa Province, Pakistan. The weighted overlay analysis methodology is used in this paper. A total of seven influence factors were used in the present study, viz. slope, drainage density, geology, rainfall, soil, land use/land cover and lineament density. The weight and score of each influencing factor is computed using multi influence factor (MIF) techniques. Within each influencing factor the subclasses were assigned a weightage of (A) (major effect) and (B) (minor effect) depending upon their effectiveness to the recharge of aquifers and groundwater potentiality. The combined weightage of both major and minor effects (A + B) was considered for computing the relative effect which was used to compute the score of each subclass within each influencing factor. The thematic layers were then integrated with weighted overlay using ArcGIS 10.2.1 and groundwater potential zone were delineated. The delineated groundwater potential zones were classified into four categories, i.e., (1) poor, (2) good, (3) high and (4) very high potentiality. The findings revealed that very high groundwater potential zone cover an area of 342.57 km 2 (6.7%), high 1506 km 2 (29%), good 2384.8 km 2 (45.91%) and poor 960.28 km 2 (18.48% of total area). The results of this paper are believed to be useful for effective groundwater harvesting and management and can also be used as helping material for future research work.
HydroResearch, 2019
The availability of water resources is currently a crucial issue in Tirupati, India. Water demand for urban development, growing population, industrialization and tourism have been diminishing the existing resources. Moreover, the study area located in a hard rock region under semi-arid climatic conditions is facing intense water shortages owing to monsoon failures, which results in critical overdrafts of groundwater resources. Therefore, proper management and conservation of existing limited groundwater resources are required to overcome the exacerbated situation. In this study, groundwater potential zones were assessed using eight influential thematic layers in a GIS environment. The eight layers including lithology, lineament density, geomorphology, land use/land cover, drainage density, soils, rainfall, and slope maps were generated and assigned fixed scores and weights in accordance with their potentiality to hold water using multi-influence factor (MIF) technique and weighted overlay methods in GIS. The end results acquired categorised the study area into four classes, viz., poor, moderate, good and very good zones, each of which contributed to 89.99 km 2 (23.17 %), 181.10 km 2 (46.62 %), 101.75 km 2 (26.19 %), and 15.64 km 2 (4.02 %), respectively. The study results will benefit sustainable groundwater resources management in the hard rock region of the study area.
A case study from hard rock terrain was conducted to find out the groundwater potential zones in Shivganga river basin, Pune, Maharashtra, India with an area of 175.89 km2. The thematic maps such as geomorphology, lithology and drainage were prepared. The Digital Elevation Model (DEM) has been generated by interpolation of 20 m interval contours. The slope map was derived from DEM to understand the slope of the land. The groundwater potential zones were obtained by overlaying all the thematic maps using the spatial analysis tool in Arc-GIS 10. During weighted overlay analysis, the ranking has been given to each individual parameter of each thematic map and weights were assigned according to the influence such as geomorphology – 35%, Lithology – 25%, slope – 20%, and drainage density – 20% to find out the potential zones of study area. Excellent to Very good-29.11%, Very good to Good- 20.96%, Good to Moderate- 22.31%, Moderate to Moderately poor- 23.07% and Moderately Poor to Poor-4.55%. This GIS based result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments.The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it clearly showed that the dug wells were exactly situated in the high groundwater potential zones.
Assessment of groundwater potential zones using GIS technique
Journal of the Indian Society of Remote Sensing, 2009
A case study was conducted to find out the groundwater potential zones in Kattakulathur block, Tamil Nadu, India with an aerial extent of 360.60 km 2. The thematic maps such as geology, geomorphology, soil hydrological group, land use / land cover and drainage map were prepared for the study area. The Digital Elevation Model (DEM) has been generated from the 10 m interval contour lines (which is derived from SOI, Toposheet 1:25000 scale) and obtained the slope (%) of the study area. The 123 RESEARCH ARTICLE groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay methods using the spatial analysis tool in ArcGIS 9.2. During weighted overlay analysis, the ranking has been given for each individual parameter of each thematic map and weights were assigned according to the influence such as soil-25%, geomorphology-25%, land use/land cover-25%, slope-15%, lineament-5% and drainage / streams-5% and find out the potential zones in terms of good, moderate and poor zones with the area of 49.70 km 2 , 261.61 km 2 and 46.04 km 2 respectively. The potential zone wise study area was overlaid with village boundary map and the village wise groundwater potential zones with three categories such as good, moderate and poor zones were obtained. This GIS based output result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments. The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it was clearly shown that the well coordinates were exactly seated with the classified zones.
Arabian Journal of Geosciences, 2016
Remote sensing and geographic information system (GIS) have become one of the leading tools in the field of hydrogeological science, which helps in assessing, monitoring and conserving groundwater resources. In this paper, integrated remote sensing, GIS and fieldwork techniques were combined to delineate the groundwater potential zones map of Devak and Rui watersheds of Jammu and Kashmir. Remote sensing data were used to prepare hydrogeomorphology, drainage density and land use/land cover maps. The advanced space borne thermal emission and reflection (ASTER) digital elevation model (DEM) data was used for preparing the slope map. Pumping test data were used to prepare discharge, specific capacity, static water level, transmissivity and hydraulic conductivity maps. Well inventory data were collected to prepare the pre-monsoon water table, post-monsoon water table, static water level and fluctuation maps. All the thematic maps pertaining to chosen parameters were converted to raster data. The raster maps of these parameters were assigned an appropriate theme weight and class score. All thematic layers were integrated using the weighted index overlay analysis (WIOA) method in the GIS environment to determine groundwater potential map. The ground water prospects zones were depicted in five categories excellent, good, moderate, low and runoff zone. The results revealed that excellent zone covers 13.5 %, good zone 22.7 %, moderate zone 15.8 %, low zone 18.5 %, and runoff zone covers 29.5 % of the total study area. The result depicts the groundwater potential zones found to be helpful in better planning and management of groundwater resources in the study area.
Groundwater is an important source of water for drinking, cultivation, irrigation etc. The ground water behavior in the Indian sub-continent is highly complicated due to occurrence of the diversified geological formations with considerable litho-logical and chronological variations, complex tectonic framework, climatelogical dissimilarities and various hydro-chemical conditions. During last two decades, in the absence of regulatory guidelines, uncontrolled & inconsistent exploitation of groundwater has adversely affected its potentiality unevenly. Hence it has become essential to assess potentiality of the groundwater particularly in the Deccan Trap, which may help in deciding its recharge. A case study was conducted to find out the groundwater potential zones in Yerala River Basin [YRB], Maharashtra, India with an aerial extent of 3035 km 2 . The groundwater potential zones were obtained by overlaying all thematic maps in terms of weighted overlay methods using the spatial analysis tool in ArcGIS 9.3. Different parameters of each thematic map were ranked by assigning weights according to the influence (such as soil -25%, geomorphology -10%, land use/land cover -25%, slope -15%, lineament -5% and drainage/streams -20%) to categorize the potential zones as good, moderate and poor zones with the area of 2037 km 2 , 580 km 2 and 606 km 2 respectively. Potential zone wise villages were obtained by overlaying zones with village boundary maps. Various wells were randomly selected from different villages of these three zones using GPS. The GIS based result was validated over these wells.
Arabian Journal of Geoscience, Springer, 2021
The study area, Sivagangai district is considered as one of the drought prone districts of south India. Hence, there is a need of study to identify the groundwater potential zones in this region. Firstly, thematic layers (geomorphology, geology, drainage, lineament, slope, and soil) were produced using satellite images in Arc GIS platform. Analytical hierarchy processes (AHP) was done to compute the weightage for each layer with respect to the relative importance of groundwater potential index. All the thematic layers were reclassified according to their water-bearing properties with the weightages derived by AHP. The consistency of derived weightage is evaluated as 0.082 which is below the standard consistency ratio of 0.1 and is consistent. Through overlying analysis of all thematic layers, a groundwater potential map was produced using geographic information system (GIS). Four major groundwater potential zones were identified as very good, good, moderate, and poor. Majority of the study area were classified as moderate (38.2%) and good (30.8%) groundwater potential zones. Groundwater level map was used to validate the groundwater potential zone. The groundwater potential map can be used to identify the appropriate locations for artificial recharge. Artificial recharging structures such as percolation ponds, recharge shaft, and farm ponds have to be implemented to improve the water level in the region. The outcome of this study strengthens the knowledge of geospatial analysis for groundwater vulnerability and also allows policymakers in this drought-prone area to sustainably manage water supplies.
With the advent of civilization and economic development of the country the demand for water has increased over the years. Therefore, evaluating the potential groundwater zone is very important for secured groundwater systems. Combination of remote sensing data and geographical information system (GIS) has brought a distinct path to study this kind of problems. Thus, the present study attempts to select and elucidate various groundwater potential zones for the assessment of groundwater availability in a coastal part of Orissa using remote sensing, GIS and multi-influencing factor (MIF) techniques. Survey of India Topo sheet and Satellite IRS-IC LISS III, Lands at TM digital and SRTM data are used to prepare various thematic layersviz., land use, geomorphological, geological, slope, drainage density and lineament density map. All these six layers are integrated using the Spatial Analyst Tool in Arc GIS 9.2 implying weighted overlay methods to delineate the Ground Water Potential Zones.In weighted overlay analysis each of these layers has been allotted fixed score and weight calculated from MIF technique on the basis of relative contribution of each of these maps towards groundwater potential. All the thematic maps are then enumerated with one another through ground control points and joined step by step using the normalized aggregation method in GIS for computing groundwater potential index. Finally, based on cumulative weighted value, groundwater recharges zones have been selected and classified into very good, good, poor, and very poor zones, respectively. The result depicts major portions of the study area have "Very Good" as well as "Good" prospect while a few scattered areas have very poor prospect. Thus, the results will be supportive for improved organization and supervision of ground water resources of the present area.
Journal of the Geological Society of India, 2020
The surface and groundwater resources are depleting over time, therefore, it becomes essential to monitor and preserve these resources and also to protect their quality. Remote sensing and GIS has become an important tool of hydrological studies in recent times which helps in assessing and mapping of groundwater resources. The remote sensing and GIS approach are well known and widely used techniques to integrate contributing hydrogeological factors namely, geology, geomorphology, lineaments density, drainage density, soil type, slope and land use/ land cover. A study was conducted to delineate the groundwater potential zones in a part of Sidhi area, Madhya Pradesh using remote sensing and GIS techniques. Landsat 8 satellite data and Aster DEM is integrated with toposheets for systematic mapping. All thematic layers were integrated, overlaid and analysed using GIS software. Groundwater potential zone is delineated and to interpret thematic layer, appropriate weights assigned to topographical features for assessing the potential zone. The zones are divided into high, moderate and low groundwater potential zones. The study reveals that 21.36% of the area has high potential, 48.12% moderate and 30.51% low potential zone for groundwater occurrence. The result of this study suggests that the favourable potential zones would prove to be very helpful for better planning and management of groundwater resources in the study area.
In the present paper, various groundwater potential zones for the assessment of groundwater availability in Keleghai river basin have been delineated using remote sensing (RS) and geographic information system (GIS) techniques. Survey of India (SOI) toposheets, field observations and satellite imageries are used to prepare various thematic layers viz. (a) drainage density, (b) geo-morphology, (c) lineament density, (d) land use/land cover, (e) soil type, (f) water bodies density, (g) normalized difference vegetation index (NDVI), (h) slope and (i) mean annual rainfall were transformed to raster data using feature to raster converter tool in ArcGIS platform. The thematic maps have been ranked in a scale of 1–9 depending upon their suitability to hold groundwater. The rank of each map has been converted to a probability weight using Bayesian Decision Theory. Similarly, different categories of derived thematic maps were assigned scores in a numeric scale 1–9, depending upon their capability to store and transmit water. These scores were again converted capability values. This capability values ðcv i Þ were then multiplied with the respective probability weight of each thematic map to arrive at the final weight map. Integration analysis was carried out using overlay-intersect method and a composite groundwater potential map was generated. The composite potential index was obtained by multiplying weightages with rank numbers of each category and summing up the values of all categories. The resultant final map indicates the potentiality of groundwater occurrence in the study area. This map was then classified into five categorise based on the groundwater potential index value. The result depicts the groundwater potential zones in the study area and found to be helpful in better planning and management of groundwater resources. Keywords Groundwater potential zones Á Groundwater quality Á Remote sensing (RS) Á Geographic information system (GIS) Á Keleghai river basin