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Chaitanya B. Pande

Bio: Chaitanya B. Pande is an academic researcher from Sant Gadge Baba Amravati University. The author has contributed to research in topics: Groundwater & Watershed. The author has an hindex of 14, co-authored 45 publications receiving 569 citations. Previous affiliations of Chaitanya B. Pande include Shivaji College, Karwar & Dr. Panjabrao Deshmukh Krishi Vidyapeeth.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: In this paper, a morphometric analysis of Shanur basin has been carried out using geoprocessing techniques in GIS and it revealed that the terrain exhibits dendritic to sub-dendritic drainage pattern.
Abstract: A morphometric analysis of Shanur basin has been carried out using geoprocessing techniques in GIS. These techniques are found relevant for the extraction of river basin and its drainage networks. The extracted drainage network was classified according to Strahler’s system of classification and it reveals that the terrain exhibits dendritic to sub-dendritic drainage pattern. Hence, from the study, it is concluded that remote sensing data (SRTM–DEM data of 30 m resolution) coupled with geoprocessing techniques prove to be a competent tool used in morphometric analysis and evaluation of linear, slope, areal and relief aspects of morphometric parameters. The combined outcomes have established the topographical and even recent developmental situations in basin. It will also change the setup of the region. It therefore needs to analyze high level parameters of drainage and environment for suitable planning and management of water resource developmental plan and land resource development plan. The Shanur drainage basin is sprawled over an area of 281.33 km2. The slope of the basin varies from 1 to 10 %, and the slope variation is chiefly controlled by the local geology and erosion cycles. The main stream length ratio of the basin is 14.92 indicating that the study area is elongated with moderate relief and steep slopes. The morphometric parameters of the stream have been analyzed and calculated by applying standard methods and techniques viz. Horton (Trans Am Geophys Union 13:350–361, 1945), Miller (A quantitative geomorphologic study of drainage basin characteristics in the clinch mountain area, Virginia and Tennessee Columbia University, Department of Geology, Technical Report, No. 3, Contract N6 ONR 271–300, 1953), and Strahler (Handbook of applied hydrology, McGraw Hill Book Company, New York, 1964). GIS based on analysis of all morphometric parameters and the erosional development of the area by the streams has been progressed well beyond maturity and lithology is an influence in the drainage development. These studies are very useful for planning of rainwater harvesting and watershed management.

94 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented the results of a mathematical groundwater model developed for the Mahesh River basin in the Akola and Buldhana districts, employing conceptual groundwater modelling approach.
Abstract: MODFLOW is a groundwater modelling program. It can be compiled and remedied according to the practical applications. Because structure and fixed data format, MODFLOW can be integrated with geographic information system (GIS) for ground water resource management. Groundwater is a distinguished component of the hydrologic cycle. Groundwater is the water which occupies the voids in the saturated zone of earth’s crust (rocks). It moves and stores in pore space (voids) of sedimentary rocks or in the fractures and joints of hard rocks. The uncertainty about the occurrence, distribution and quality aspect of groundwater and the energy requirement for its withdrawal impose restriction on exploitation of groundwater. In spite of its uncertainty, groundwater is much protected from pollution; it requires little treatment before it use; it is available almost everywhere; it can be developed with little gestation period and can be supplied at a fairly steady rate. A groundwater model is thus a simplified version of the real system that approximately simulates the input–output stresses and response relations of the system. One has to understand here that normally the real system is simplified to model the system as such there is no unique model for a given groundwater system. Groundwater flow models are used to calculate the rate and direction of movement of groundwater through aquifers. The outputs from model simulation are the hydraulic heads and groundwater flow rates which are in equilibrium with the specified hydrogeological conditions (i.e. hydrogeological framework, hydrologic boundaries, initial and transient conditions, hydraulic properties and sources) defined for the modelled area. Groundwater models play an important role in the development and management of groundwater resources, and in predicting effects of management measures. With rapid increases in computation power and the wide availability of computers and model software, groundwater modelling has become a standard tool for professional hydrogeologists to effectively perform most tasks. Then, boundary conditions are adjusted with the aid of a scattergram to reduce bias of the simulated hydraulic head distribution of the equivalent homogeneous aquifer. The differences between the simulated mean hydraulic head and the observed hydraulic head, resulting from small-scale heterogeneities are then reduced by adjustment of local transmissivity values based on the hydrological and geological information. The results of this case study, which produced a number of reasonable as well as some unsatisfying simulations, demonstrate the potential of coupling a surface water model and a groundwater model to obtain more complex and accurate analyses and simulations of hydrologic systems. This paper presents the results of a mathematical groundwater model developed for the Mahesh River basin in the Akola and Buldhana districts, employing conceptual groundwater modelling approach. For this purpose, groundwater modelling software (GMS) was used which supports the Visual Modular three Dimensional Flow-20011 code. For the purpose of modelling the source/sink coverage, recharge coverage, extraction coverage, return flow coverage and soil coverage were considered. The model was calibrated against the historical and observed water level data for the period of 2013 and 2014.

94 citations

Journal ArticleDOI
TL;DR: In this article, the identification of suitable groundwater potential zonation was prepared using remote sensing and GIS techniques using satellite images using Arc GIS software, which can be used for soil and water conservation project, watershed development programs and groundwater resources management in basaltic hard rock terrain.
Abstract: The identification of suitable groundwater potential zonation was prepared using remote sensing and GIS techniques. Drainage pattern map were generated from satellite images using Arc GIS software. This study area was demarcated the groundwater exploration sites and artificial recharges structure with help of groundwater potential zonation map. The assessment of groundwater potential zonation was generated by integrated data like Slope, Hydro-geomorphic, land use/land cover, digital elevation maps with the help of remote sensing, GIS techniques and field verification. The Geomorphology, Land use and Land cover maps were prepared from Linear Self Imagine Scanning Sensor (LISS-III) satellite images with 23.5 m resolution using Arc GIS 10.3 software. The different kinds of thematic maps were integrated for assessment of groundwater potential zonation in basaltic hard rock terrain. These thematic maps of classes assigned weight ages using overlay analysis method. The groundwater potential zonation map was prepared using thematic maps for groundwater development. These thematic maps were assign numerical values like 1–10 using Arc GIS software 10.3. The groundwater potential zone classes has been shown like poor, moderate, good and excellent, which can be utilized for new sites of groundwater exploration and artificial recharges structures. The artificial recharge map generated from groundwater potential zonation using remote sensing and GIS technology. The groundwater potential zonation and artificial recharge maps may be useful for soil and water conservation project, watershed development programs and groundwater resources management in basaltic rock area.

85 citations

Journal ArticleDOI
TL;DR: In this article, the authors accentuated the hydrogeological evaluation for Devdari watershed of Maharashtra, Central India, using remote sensing, GIS, and multi influencing factor (MIF).
Abstract: The present research work accentuates the hydrogeological evaluation for Devdari watershed of Maharashtra, Central India, using remote sensing, GIS, and multi influencing factor (MIF). The thematic layers of land use/land cover, groundwater depth, slope, drainage, flow direction, flow accumulation and geomorphology were prepared using IRS-LISS-III satellite data coupled with Shuttle Radar Topography Mission data on 23.50 and 30 m spatial resolution, respectively. The raster layers of these themes were estimated by employing ArcGIS software 10.3 and multi-influencing factor method and subsequently assigned with the relative weights as per their groundwater potential characteristics. For acknowledgement of the groundwater potential map, all the thematic layers and their respective weightage values were subjected to weighted overlay analysis (WOA) method. The evolved map demonstrates six groundwater potential zones in the study area, i.e., poor to nil (0.27 km2), very poor (0.95 km2), poor (17.67 km2), moderate (0.33 km2), good (9.51 km2), very good (14.665 km2) and excellent (1.84 km2). A field check survey was carried out to ascertain the validity of groundwater potential maps. The results of study area disclose that the area of watershed with poor, moderate and good-to-excellent groundwater potential zones is evaluated to allow precipitated water to infiltrate into subsurface and finally contribute to groundwater recharge in the watershed area.

83 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated land use variations in the arid region with the help of multi-temporal images and employed image classification tools in ArcGIS software to create land cover variation maps and land use forecast maps.
Abstract: Rapid urbanization and deforestation have led to increased areas of wasteland in the northern region of the Akola district of Maharashtra, India. This study investigates land use variations in the arid region with the help of multi-temporal images. Land use maps were employed for analysis of different classes using image classification tools in ArcGIS software. Multispectral satellite imagery data were used to create land cover variation maps and land use forecast maps for the study area. The land use classification change maps were produced from LISS-III satellite images and Landsat Enhanced Thematic Mapper Plus (2008 and 2015) using supervised classification techniques. Land use was divided into five major classes, i.e. agricultural land, developed land, wasteland, water bodies, and forestland. We observed significant changes in agricultural and forestland as a result of many factors including population growth, drought conditions, road infrastructure development, flooding, and soil erosion in the arid area. The overall accuracy of the supervised classification was 94.10% for 2008 and 88.14% for 2015, using the kappa method, which was a satisfactory result. The analysis of land use maps in the arid region revealed different patterns of use between 2008 and 2015. The results of this study may be useful for developing and implementing valuable management strategies for resource protection in the study area. These results show the potential for land use planning and development in arid regions using remote sensing and GIS technology.

68 citations


Cited by
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01 Sep 2007

188 citations

Journal ArticleDOI
TL;DR: In this article, remote sensing and GIS techniques are taken into consideration for zonation of different groundwater prospects of Pravara basin, where several contributing factors in which groundwater potential of an area entirely or partially depends such as lithology, geomorphology, slope, soil, lineament density, drainage density, land use and rainfall are assessed individually as well as together for making the different groundwater prospect maps through influencing factor and frequency ratio (FR) techniques.
Abstract: In the present days, remote sensing and geographic information system (GIS) techniques are comprehensive tools for the assessment of water resource, its management and conservation. In this study, remote sensing and GIS techniques are taken into consideration for zonation of different groundwater prospects of Pravara basin. Several contributing factors in which groundwater potential of an area entirely or partially depends such as lithology, geomorphology, slope, soil, lineament density, drainage density, land use and rainfall are assessed individually as well as together for making the different groundwater prospect maps through influencing factor (IF) and frequency ratio (FR) techniques. In ArcGIS software, all these thematic layers are prepared using different satellite imageries and conventional data sets, obtained from different sources. All these layers are transformed into high-resolution raster format and meshed together in GIS environment using IF and FR methods. Groundwater prospect maps are constructed as a result of overlay analysis. Based on the constructed map of groundwater prospect zones, as a result of this study, the study area is divided into five categories of different groundwater potential zones: very high, high, moderate, low and very low. Validation of the resultant maps has shown that frequency ratio technique is having higher accuracy (AUC = 73%) compared to the influencing factors (AUC = 69%). The present study of groundwater zonation provides a simple and less time-consuming technique; also, the results can directly be used for planning and sustainable management in Pravara basin.

104 citations

Journal ArticleDOI
02 Jan 2021
TL;DR: In this article, the potential application of weighted index overlay analysis for assessing groundwater potential mapping at Dhungeta-Ramis sub-basin, Wabi Shebele basin, E...
Abstract: The objective of this paper is to exploit the potential application of weighted index overlay analysis for assessing groundwater potential mapping at Dhungeta-Ramis sub-basin, Wabi Shebele basin, E...

86 citations

Journal ArticleDOI
TL;DR: In this article, the identification of suitable groundwater potential zonation was prepared using remote sensing and GIS techniques using satellite images using Arc GIS software, which can be used for soil and water conservation project, watershed development programs and groundwater resources management in basaltic hard rock terrain.
Abstract: The identification of suitable groundwater potential zonation was prepared using remote sensing and GIS techniques. Drainage pattern map were generated from satellite images using Arc GIS software. This study area was demarcated the groundwater exploration sites and artificial recharges structure with help of groundwater potential zonation map. The assessment of groundwater potential zonation was generated by integrated data like Slope, Hydro-geomorphic, land use/land cover, digital elevation maps with the help of remote sensing, GIS techniques and field verification. The Geomorphology, Land use and Land cover maps were prepared from Linear Self Imagine Scanning Sensor (LISS-III) satellite images with 23.5 m resolution using Arc GIS 10.3 software. The different kinds of thematic maps were integrated for assessment of groundwater potential zonation in basaltic hard rock terrain. These thematic maps of classes assigned weight ages using overlay analysis method. The groundwater potential zonation map was prepared using thematic maps for groundwater development. These thematic maps were assign numerical values like 1–10 using Arc GIS software 10.3. The groundwater potential zone classes has been shown like poor, moderate, good and excellent, which can be utilized for new sites of groundwater exploration and artificial recharges structures. The artificial recharge map generated from groundwater potential zonation using remote sensing and GIS technology. The groundwater potential zonation and artificial recharge maps may be useful for soil and water conservation project, watershed development programs and groundwater resources management in basaltic rock area.

85 citations

Journal ArticleDOI
TL;DR: In this article, the authors accentuated the hydrogeological evaluation for Devdari watershed of Maharashtra, Central India, using remote sensing, GIS, and multi influencing factor (MIF).
Abstract: The present research work accentuates the hydrogeological evaluation for Devdari watershed of Maharashtra, Central India, using remote sensing, GIS, and multi influencing factor (MIF). The thematic layers of land use/land cover, groundwater depth, slope, drainage, flow direction, flow accumulation and geomorphology were prepared using IRS-LISS-III satellite data coupled with Shuttle Radar Topography Mission data on 23.50 and 30 m spatial resolution, respectively. The raster layers of these themes were estimated by employing ArcGIS software 10.3 and multi-influencing factor method and subsequently assigned with the relative weights as per their groundwater potential characteristics. For acknowledgement of the groundwater potential map, all the thematic layers and their respective weightage values were subjected to weighted overlay analysis (WOA) method. The evolved map demonstrates six groundwater potential zones in the study area, i.e., poor to nil (0.27 km2), very poor (0.95 km2), poor (17.67 km2), moderate (0.33 km2), good (9.51 km2), very good (14.665 km2) and excellent (1.84 km2). A field check survey was carried out to ascertain the validity of groundwater potential maps. The results of study area disclose that the area of watershed with poor, moderate and good-to-excellent groundwater potential zones is evaluated to allow precipitated water to infiltrate into subsurface and finally contribute to groundwater recharge in the watershed area.

83 citations