Browsing by Author "Ramesh Kumar Patel"
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PublicationArticle Delineation of groundwater potential zones in lower Rihand River Basin, India using geospatial techniques and AHP(Elsevier B.V., 2021) Narender Verma; Ramesh Kumar PatelIn the present study, an attempt is made to delineate groundwater potential zones in Lower Rihand River Basin using remote sensing, GIS, and Analytical Hierarchical Process (AHP). Multiple data, viz. lithology, lineament density, geomorphology, slope, soil, rainfall, drainage density, relief, landuse/landcover were considered for delineating the groundwater potential zones. All nine thematic layers were prepared using remote sensing data on GIS platform. After that, weights were assigned to different layers and the features within them using a pairwise comparison matrix through the Analytical Hierarchical Process. The weights obtained were tested for their consistency using the consistency index and consistency ratio. A final weighted map was then obtained by multiplying each thematic layer's weights with the weights of features within them and adding them. Based on this final weighted layer, the basin was categorized into very poor, poor, moderate, good, very good groundwater potential zones. The maximum area (49.22%) is under poor groundwater potential zone followed by moderate zone (26.17%), very poor (12.53%), good (11.77%), very good (0.31%). Results obtained have been validated using pre-monsoon and post-monsoon 10 years average water depth and seasonal fluctuation of various observation wells. Sensitivity analysis using map removal method is performed to assess the most influential parameters, geology, geomorphology, lineament density are the most influential. Overall results prove the efficacy of the use of geospatial technology in combination with AHP in the delineation of underground water potential zones. © 2021 National Authority for Remote Sensing and Space SciencesPublicationArticle Regional disparities in social, environmental, and economic indicators among the Indian States(Springer Science and Business Media Deutschland GmbH, 2023) Reena Kumari; Rakesh Raman; Ramesh Kumar PatelThere is a plethora of evidence examining state-wise disparities in India and across nations, using different indicators and dimensions. However, insufficient efforts have been made to address the level of development and disparities in socioeconomic and environmental aspects, which refers to the basic amenities needed for the development of an individual's living conditions in any society or nation. To do so, using the UNDP method to standardize the data, inter-state disparities in terms of social, environmental, and economic aspects, which comprise a broader aspect of human well-being, including access to education, health care, clean water and sanitation, energy use, environment, and standard of living has been studied. Subsequently, principal component analysis (PCA) was used to reduce the dimensions and assign weights to the component domains of four indices: social, environmental, economic, and composite development index (CDI) with 15 indicators. Furthermore, fractile classification was used to categorize the phases of development of the different states into four categories: high, high-middle, middle-low, and low. The social, environmental, economic, and CDI were used to map the spatial pattern of disparities in the context of society, environment, and economy using ArcGIS for the 29 states of India. The findings show that, in India, different states have the widest discrepancies among the four indices. According to the results, the states of central and eastern India are underdeveloped, which corresponds to a wide variance in the overall position. Kerala, Mizoram, Goa, Sikkim, and Delhi performed under the top five categories in the CDI. Madhya Pradesh, Bihar, Uttar Pradesh, Rajasthan, and Arunachal Pradesh were the bottom five performers in CDI, accounting for 32.53% of the area and housing 39.96% of the total population who suffer greatly from poor access to social, environmental, and economic resources. These findings imply that in order to improve socioeconomic conditions and foster long-term growth in underdeveloped states, authorities should concentrate on ensuring that current policies are adequately implemented. This study is crucial because it is challenging to develop evidence-based policies without identifying regional heterogeneity. © 2023, The Author(s), under exclusive licence to Springer Nature B.V.PublicationArticle Watershed prioritization for soil conservation in a drought prone watershed of Eastern India: Tel River Basin, Odisha(Taylor and Francis Ltd., 2023) Narender Verma; Ramesh Kumar Patel; Pandurang ChoudhariIn this research paper a detailed study of the morphometry of Tel River watershed to understand its hydrological behaviour and characteristics. The morphometric parameters derived are further used for prioritization of the sub-watersheds based on weighted sum analysis for planning and management. A total of 26 parameters covering linear, areal and relief aspects have been considered. These parameters are computed using standard formulae available from literature. Streams, watershed and sub-watersheds have been delineated from freely available 30 metres resolution SRTM Dem using automated processes in Arc GIS. The results show that Tel River is a seventh order stream having five sixth-order and one seventh-order sub-watershed, having a total drainage area of 22,815 km2. It is a normal watershed, slightly elongated, characterized by low relief, gentle slope and permeable sub-surface. Prioritization results show that sub-watersheds SW-6 and SW4 covering 58.41% watershed area are the most susceptible sub-watersheds to erosion, sub-watersheds SW-1, SW-2 and SW-3 covering 32.38% watershed area are moderately susceptible and sub-watershed SW-5 covering 9.21% watershed area is least susceptible to erosion. The weighted sum analysis is a robust method which can be useful for evolving strategies to manage and conserve resources at micro level. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of the International Water, Air & Soil Conservation Society(INWASCON).
