Faculty Publications
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Publications by NITK Faculty
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Item Groundwater Quality Evaluation In The Gurupura River Basin Using GIS and Remote Sensing Approach(Institute of Electrical and Electronics Engineers Inc., 2023) Suryawanshi, V.; Ramesh, H.; Nasar, T.The objective of this study was to assess the quality of groundwater resources in the Gurupura basin, located in Dakshina Kannada district, Karnataka, India, specifically for domestic and drinking purposes. To achieve this, various water quality analysis techniques were employed, such as the water quality index (Brown's 1970), spatial groundwater evaluation using GIS-based interpolation, and multivariate statistical analysis. Physiochemical parameters of groundwater samples were analyzed on-site both before and after the monsoon season of 2021. The findings of the study indicate that the groundwater quality deteriorates during the pre-monsoon period, primarily due to a decline in the groundwater table and the presence of salinity in coastal wells. However, in the post-monsoon period, the groundwater quality significantly improves and is deemed pure and suitable for both drinking and domestic purposes. © 2023 IEEE.Item Integrated Ecological River Health Assessment of Netravathi Basin Based on Physiochemical and Hydrochemical Analysis(Springer Science and Business Media Deutschland GmbH, 2024) Suryawanshi, V.; Ramesh, H.; Nasar, T.River health assessment is critical, and it is essential to monitor the river's quality and health condition. Because most rivers are drying up and becoming polluted as a result of a lack of assessment and regular maintenance, all major elements of a riverine system, such as aquatic flora and fauna, water quality, habitat, hydrology, the physical shape of the channel, and other geomorphological elements, should be considered and included in it. The objective of this research is to assess the health of the Netravathi River using physiochemical parameters. River Netravathi is the only freshwater resource in Mangalore's coastal metropolis. The river flows 103 km from its point of origin to Mangalore city, with catchment area of 3657 Km2. To assess river health, seven physical parameters were measured seasonally at the river site, and laboratory testing of river water samples for eight chemical parameters have been carried out. Rivers are essential to the life and survival of many plant and animal species. The discharge of sewage, industrial effluents, municipal solid waste, agricultural waste all of which impact the water quality carried by river flow. According to the findings, the health of the River Netravathi is considerably better in the post-monsoon season than in the pre-monsoon season, because the river becomes dry in most sections of the district and the flow of river water drops dramatically. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Item Application of remote sensing and GIS for identification of potential ground water recharge sites in Semi-arid regions of Hard-rock terrain, in north Karnataka, South India(Springer Science and Business Media Deutschland GmbH, 2018) Bhagwat, T.N.; Hegde, V.S.; Shetty, A.Hydro-geomorphological characteristics, together with soil, slope, lineament density and Land use Land cover are signatures of potential ground water recharge areas, and are vital for water harvesting. In the present paper, Fifth order sub-basins in Semi-arid regions of the Varada River basin in South India is studied for selection of suitable area for recharge and prioritize the sub-basins using Indian Remote Sensing satellite (IRS) P6; Linear Imaging Self Scanning Sensor (LISS III) and ArcGIS 9.2. The Fifth order sub-basins of the Varada River spread in Hard-rock terrain and of different agro-climatic zones. The study shows that there are significant spatial variations in the fifth order basins with respect to their morphometric characteristics such as the basin area, drainage density, bifurcation ratio, and circularity ratio, constant of channel maintenance and slope of the basin. These variations reflect the differences in the hydrological process in the different Sub-basins. Based on the variations in the linear, aerial, relief as well as the slope, lineament density, and precipitation pattern rankings are assigned for each parameter with respect to ground water recharge within the Subbasins. Weighted sum overlay for precipitation, Land use, soil and Water table fluctuation are used to select the suitable areas of recharge within the sub-basins. Buffers created for lineaments and drainage networks were intersected with the suitable area of recharge for the probable tank's locations for recharge. The tank locations identified after intersection and having higher stream orders are further filtered for the identification of potential sites for ground water recharge. In the prioritized sub-basins SB-8, SB-10, SB-11 locations have been selected for recharge. © 2018, Springer International Publishing AG, part of Springer Nature.Item Shoreline analysis using Landsat-8 satellite image(Taylor and Francis Ltd., 2021) Yadav, A.; Dodamani, B.M.; Dwarakish, G.S.The shoreline is a boundary between wet and dry part of the beach, and it is dynamic in nature. Natural and human factors are always influencing shoreline configuration. One of the important natural events which are responsible for the shoreline configuration along the Karnataka coast is southwest monsoon, and hence there is a change in shoreline position between pre- and post-monsoon. For the present research work, Karwar beach with two beaches, Rabindranath Tagore beach and Devabagh beach along Karnataka coast, West coast of India were selected as study area. Landsat-8 satellite images for the years 2013–2017 were used in the present study and processed for May and October of every year, using ERDAS imagine 2014 and ArcGIS 10.3 tools to generate shoreline configuration maps. Finally, the comparison was made between 2013 and 2017 years, and the results indicate that the Devbagh beach during pre-monsoon season has an average shoreline change rate of ?7.54 m/yr (EPR) and ?5.57 m/yr (LRR) and during post-monsoon season it is 0.34 m/yr (EPR) and ?0.46 m/yr (LRR). Similarly, Rabindranath Tagore beach during pre-monsoon seasons has an average shoreline change rate of 0.004 m/yr (EPR) and 1.67 m/yr (LRR), and in post-monsoon season, it is ?5.77 m/yr (EPR) and ?6.55 m/yr (LRR) respectively. The total uncertainty error was estimated and found to be (Formula presented.) 5.00 m/yr. © 2018 Indian Society for Hydraulics.
