Hydrologic delineation of ground water potential zones using geospatial technique for Keleghai river basin, India

Abstract

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) geomorphology, (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.

The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

“…Additionally, aquifer boundaries may be quite different from surface catchment boundaries, and therefore accurate delineations are needed to ensure a good representation of surface-groundwater interactions (e.g. Sar et al, 2015;Arkoprovo et al, 2012;Ivkovic et al, 2009).…”

Assessment of groundwater potentiality using geospatial techniques in Purba Bardhaman district, West Bengal

“…The most valuable resource is groundwater which is unevenly distributed. Distribution of groundwater is controlled according to many criteria, i.e., lithology, geological structure, lineaments, soil, slope, drainage density, distance from the river, vegetation cover, surface water scenario, land use and land cover, rainfall, climatic condition and interrelationship between these factors (Sar et al 2015;Jothibasu and Anbazhagan2016;Dasho et al2017).…”

“…In this plain region, they are the most effective. Remote sensing (RS) and GIS techniques (Krishnamurthy et al 1996;Pothiraj and Rajagopalan 2013;Sar et al 2015;Anbazhagan and Jothibasu 2016;Jothibasu and Anbazhagan 2017;Choudhari et al 2018;Das and Pal 2019a, b) are very much useful to delineate the groundwater potential zone. Many researchers in India and aboard have been successfully using this technique to identify groundwater potential zone.…”

GIS and Remote Sensing applications for abandoned quarries rehabilitation: A case study in the Akreuch Region, Rabat, Morocco.

“…Combined with the prevailing winds direction, this criterion controls the direction of winds in hilly areas. The wind direction should be hindered to prevent the transmission of odors from landfills to residential areas (Eskandari et al, 2013;Sar et al, 2015).…”