Department Of Geology

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Author: search.filters.author.Singh, Kshetrimayum KrishnakantaSubject: search.filters.subject.Northeast India

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    Application of analytical hierarchy process and GIS techniques to delineate the groundwater potential zones in and around Jorhat and Majuli areas of eastern Assam, India
    (Springer Science and Business Media Deutschland GmbH, 2022-10-26T00:00:00) Bordoloi, Abhiraj; Singh, Kshetrimayum Krishnakanta; Gaichunglu, Gangmei
    Groundwater is regarded as prominently reliable natural resources available as fresh water. However, as the world advances at a tremendous rate, this hidden water resource is exposing continuous threats owing to numerous factors, such as improper uses, over-exploitation and quality contamination. The present study emphasizes on such challenges, especially on groundwater exploration in northeast region, India with the application of remote-sensing and GIS methods. Groundwater acts as a primary source of water supply for household and agricultural purposes in the study area. Parameters, such as rainfall, geomorphology, drainage density, lithology, LU/LC, soil, lineament density, slope and well yield data, were selected to prepare thematic maps. The thematic maps were created in remote sensing and GIS platforms and specific ranks and weights were assigned to each. A pair-wise examination of all the factors affecting the groundwater potential zone (GPZ) was used to derive the weights using an analytical hierarchy process and a multi-criteria decision-making approach to generate GPZ. Five potential zones have been classified as poor, fair, moderate, good and excellent. Based on the data obtained, the poor potential zone comprises 0.083% (2.11 km2), the fair groundwater zone consists of 7.21% (183 km2), the moderate zone contributes 27.4% (694.8 km2), the good zone shows 43.6% (1105.9 km2) and the excellent zone represents 21.7% (549.8 km2), respectively. Thus, such approach is proved to be effective, convenient and reliable as compared to other expensive and time-consuming techniques for groundwater mapping especially in a remotely located terrain. � 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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    Evaluation of seasonal dynamics of the surface water hydrochemistry using multivariate statistical techniques and aquatic macrophyte productivity in a mountainous lake, Northeast India
    (Springer Science and Business Media Deutschland GmbH, 2022-05-13T00:00:00) Singh, Konthoujam Khelchandra; Singh, Kshetrimayum Krishnakanta; Usha, Khuraijam; Das, Subhasish; Singh, Salam Shantikumar
    The present work elucidates the effective application of multivariate statistics in understanding the probable relations between surface water hydrochemistry and aquatic macrophyte productivity and their underlying seasonal dynamics in a remote mountainous lake of northeast India. The result of hierarchical cluster analysis revealed three distinct clusters corresponding to the pre-monsoon (35.42%), post-monsoon (52.08%), and monsoon (12.50%) seasons. The factor analysis yielded three principal components suggesting the sediment flux, farming discharge, domestic waste, bacterial oxidation of sulfur compounds, and dissolution of plant matters associated with dissolved feldspar minerals as the influential factors. The lake hydrochemistry also varied significantly, both spatially and temporally implying geogenic weathering processes from rock-soil-water interactions. Overall, sixteen aquatic macrophytes were identified, and their monthly and daily net primary productivity varied considerably in different seasons. Regression analysis highlighted the effect of temperature, total dissolved solids, electrical conductivity, and turbidity on the seasonal fluctuations in macrophyte productivity. Overall, the study provides insights into seasonal variation in the lake water chemistry and highlights the role of statistical tools in understanding the fragile aquatic ecosystems over cost-, labor-, and time-intensive inventory studies. � 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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    Assessment of irrigational indices in surface water and shallow groundwater in the alluvial plain of Barak Valley, Assam, Northeast India
    (John Wiley and Sons Ltd, 2021-06-25T00:00:00) Devi, Khangembam Sharmila; Singh, Kshetrimayum Krishnakanta
    The main sources of water resources of the Barak Valley of Northeast India for irrigation are the surface water bodies in the form of ponds, lakes, rivers, and groundwater. This paper elucidates insight into the irrigational parameters to classify the types of water, based on these indices. Total hardness shows that 90% of surface water belongs to the soft and 63% of groundwater samples belong to the soft category. C-S plot shows 33% of surface water belongs to C1-S1 and 66% of groundwater samples belongs to C1-S1 and C2-S1, indicating fresh and suitable for use. The percentage Na+ shows most samples belong to good and permissible categories. Permeability index shows 81% of surface water in Class II and 18% in Class III, indicating good and bad types, respectively. Kelly's index suggests 90% of surface water is suitable and 9% is unsuitable, while 14% of piedmont groundwater is unsuitable. Magnesium hazard reveals 18% of surface water has more than 50 Magnesium absorptio ratio, leading to unsuitable, while 28% of piedmont and 33% of flood plain groundwater samples belong to unsuitable. Residual sodium carbon suggests surface water as suitable, while 48%, 12%, and 6% of groundwater belong to suitable, marginal, and unsuitable categories, respectively. Irrigation Water Quality Index values indicate that surface water is characterized by a highly restricted class, as they are exposed to surficial contamination as compared to groundwater. Base exchange index of ions indicates Na+-SO4?2 hydro-facies type suggesting dissolution of salt minerals in weak acidic water. Meteoric genesis index of ions reveals the source of groundwater as deeper meteoric water. Thus, the present study indices that the surface water bodies such as ponds, lakes, and swamps are more prone to contamination, leading to unsuitability for irrigational use, as compared to shallow groundwater in the study area, and therefore, appropriate measures must be adopted to reduce the quality deterioration for maximum utilization. � 2021 John Wiley & Sons Ltd.