Identification of Artificial Recharge Sites in Manchi Basin, Eastern Rajasthan (India) Using Remote Sensing and GIS Techniques

Abstract

The present study is an attempt to prepare a water resource development action plan for Manchi basin in Eastern Rajasthan (India) using remote sensing and GIS techniques. Satellite data have proven to be very useful for surface study, especially in the preparation of land use/land cover and geomorphological map. Morphometric parameters are analyzed to understand the basin characteristics and its influence on the water resources for instance bifurcation ratio indicates high surface run off and low recharge in SB-I, IV, V. Low drainage density ranges from 2.41 (SB-IV) to 2.99 (SB-V) km/km 2 , with an average of 2.72 km/km 2 showing permeable strata, dense vegetation and low relief. Analysis of shape parameters i.e. elongation ratio and circularity ratio suggest that Manchi basin is elongated in shape. Whereas, slope, geology and geomorphological mapping is done to demarcate groundwater potential zones for future exploration in the study area. Slope is inversely proportional to infiltration. Therefore, sub-basin areas having gentle slope permits less runoff and more infiltration as in alluvial plains and vice versa where hills and ridges are present. The integrated study helps in designing suitable sites for constructing water harvesting structures. Check dams, percolation tanks and nala bund are proposed at 1st, 2nd or 3rd drainage orders at SB-I and SB-IV with ravenous land (open scrub), uncultivated land, open forest & exposed rock present. Nala bund & check dam are proposed at SB-II & SB-V whereas, at SB-III check dams & percolation tanks are proposed so as to conserve the natural resources present in the basin. Finally, the best feasible water harvesting structures have been proposed within the sub-basins area using remote sensing and GIS techniques.

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

“…Infiltration is inversely related to slope; i.e. the more gentle the slope is, infiltration would be more and runoff would be less and vice versa (Rais and Javed 2014). Digital elevation model (SRTM) at 30-m resolution (Fig.…”

Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra River basin

“…Prioritization of watersheds based on morphometric features has also been done, as well as assistance in detecting soil erosion areas (Mishra et al 2011;Sharma and Mahajan 2020;Wakode et al 2011). Many researchers studied watershed prioritization based on morphometric parameters Mathew 2023a, 2023b;Kushwaha et al 2022;Javed and Khanday 2011;Magalhaes et al 2022;Abdo et al 2023;Redvan and Mustafa 2021;Gupta et al 2020;Javed et al 2009;Esin and Akgul 2021;Mathew et al 2022;Bogale 2021;Singh et al 2021;Rais and Javed 2014;Sreedevi et al 2005;Mathew and Shekar 2023;Jasmin and Mallikarjuna 2013;Lopez-Perez and Fernandez-Reynoso 2021;Sutradhar and Mondal 2023;Moharir et al 2021).…”

Evaluation of Morphometric Parameter for Prioritization of Kantori Nala Milli Watershed

“…A systematic analysis is essential for the configuration of a catchment, and its stream courses involve relief aspects, linear aspects, and aerial or shape aspects of the catchment. Since they have a direct or indirect relationship to peak flow, runoff, and soil erosion risks therefore, these have been used to prioritise most susceptible sub-watersheds" Nookaratnam et al [15]; Javed et al [5]; Singh and Gupta [16]; Sharma et al [17]; Rais and Javed [18]. "With advent of high resolution Digital Elevation Model (DEM), the extraction of drainage parameters from DEM gets more popularity in last three decades due to rapid, precise, updated and cost effective way of performing watershed analysis" [19]; Moore et al [20].…”