Assessing Groundwater Dynamics and Potentiality in the Lower Ganga Plain, India

Mondal, Biraj Kanti; Das, Rima; Mishra, Prabuddh Kumar; Abdelrahman, Kamal; Acharya, Aditi; Lee, Ming-An; Tiwari, Anuj; Fnais, Mohammed S.

doi:10.3390/w14142180

Cited by 11 publications

(5 citation statements)

References 66 publications

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“…Water movements have greater intensity in regions characterized by a higher density of lineaments. Previous investigations have also documented similar findings, indicating a favorable correlation between groundwater output and lineament features [75,92,93].…”

Section: Effect Of Geological Factors On Groundwater Potentialitysupporting

confidence: 74%

Application of GIS, Multi-Criteria Decision-Making Techniques for Mapping Groundwater Potential Zones: A Case Study of Thalawa Division, Sri Lanka

Wijesinghe,

Mishra,

Withanage

et al. 2023

Water

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Groundwater resources are depleting due to phenomena such as significant climate change and overexploitation. Therefore, it is essential to estimate water production and identify potential groundwater zones. An integrated conceptual framework comprising GIS and the analytical hierarchy process (AHP) has been applied for the present study to identify groundwater potential areas in the Thalawa division of Sri Lanka. The criteria, including rainfall, soil types, slope, stream density, lineament density, geology, geomorphology, and land use, were taken into account as the most contributing factors when identifying the groundwater zones. Weights were allocated proportionally to the eight thematic layers according to their importance. Hierarchical ranking and final normalized weighting of these determinants were performed using the pairwise comparison matrix (PCM) available in AHP. Based on the results obtained, the groundwater potential zone (GWPZ) was classified into three regions: low potentiality (33.4%), moderate potentiality (55.8%), and high potentiality (10.6%). Finally, the zoning map was compared to find consistency with field data on groundwater discharge and depth taken from 18 wells in the division. The results revealed that the GIS-multi-criteria decision-making (MCDM) approach brings about noticeably better results, which can support groundwater resource planning and sustainable use in the research area.

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Section: Effect Of Geological Factors On Groundwater Potentialitysupporting

confidence: 74%

Application of GIS, Multi-Criteria Decision-Making Techniques for Mapping Groundwater Potential Zones: A Case Study of Thalawa Division, Sri Lanka

Wijesinghe,

Mishra,

Withanage

et al. 2023

Water

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“…The receiver operating curve value was applied to evaluate the accuracy of the model (Zhang et al, 2020). The ArcGIS (Mondal et al, 2022) was used to narrow the distribution range of suitable areas in different periods to a single central point, and then the changes of distribution centers in different periods were calculated to analyze the evolution trend of G. inflata distribution.…”

Section: Prediction Of Suitable Areas and Central Distribution Points...mentioning

confidence: 99%

Prediction of the potential distribution area of Glycyrrhiza inflata in China using a MaxEnt model

Du,

Xu,

Wang

et al. 2024

Front. Ecol. Evol.

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Glycyrrhiza inflata Batalin is an important medical plant of the genus Glycyrrhiza. It is one of the key protected plants in China, distributed in the desert areas of southern Xinjiang and Dunhuang of Gansu Province. It has a strong resistance to drought, heat, and salt stresses, and plays a pivotal role in sand fixtion in desert areas. In this study, based on 157 valid distribution records and eight environmental factors including climate factors and altitude, the potential distribution area of G. inflata in the last glacial maximum, middle Holocen, modern, and future (2050) times in China were predicted, using the optimized MaxEnt model and ArcGis 10.2 software. The results showed that the predicted distribution area was highly consistent with the current distribution range, and the area under the receiver operating characteristic (AUC) curve was 0.986, indicating that the prediction performance was excellent. The key climatic factors affecting the distribution were precipitation in December and the average annual precipitation. Meanwhile, the suitable area of G. inflata in modern times was 1,831,026 km2, mainly distributed in Turpan-Hami Basin, Tarim Basin, and Dunhuang of Gansu Province, with Lop Nur Town of Xinjiang as the distribution center. In 2050, the potential suitable area forG. inflata in China will be 1,808,090 km2, 250,970 km2 of which will be highly suitable, which is 150,600 km2 smaller than that in modern times, with a reduction rate of 60.0%. Therefore, there is a trend of great reduction in the suitable area of G. inflata. From the last glaciation maximum to the middle Holocene, the geographical distribution center shifted to the southwest margin of the Kumtag Desert, Xinjiang, then later continued to shift to the southwest. This study will provide a basis for understanding the origin and evolution of G. inflata, developing conservation strategies to minimize the impacts of environment change, and utilizing plant resource.

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“…With the use of a handheld Garmin GPS unit, sample geographic coordinate locations are acquired. The American Public Health Association's suggested analysis techniques are used for chemical analysis (19) . Using portable EC and pH metres, in-field measurements of electrical conductivity, total dissolved solids, and pH were made.…”

Section: Study Areamentioning

confidence: 99%

An Integrated assessment on LULC changes and Groundwater Quality in Ambattur Zone of Metropolitan Chennai, India

Singh¹,

Anbazhahan²,

Gowtham³

2022

IJST

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Objectives:The current study shows the magnitude of changes in land use and land cover (LULC) in the Ambattur Zone from 1990 to 2021 and examines its impact on groundwater quality through the Gibbs diagram, Piper diagram, multivariate statistical analysis, and water quality index (WQI) for drinking. Methods: Landsat images were collected to derive the LULC images through the supervised classification approach. Groundwater samples were collected from 31 wells for two seasons and analyzed for the hydrogeochemical study. Gibbs, Piper, multivariate statistical analysis and WQI were done to evaluate the groundwater quality for drinking purpose and to study the hydrogeochemical characteristics. Findings: The results show that barren land decreased from 7.4 to 4.31 km 2 , whereas, built-up land expanded from 21.37 to 24 km 2 . Compared to barren and built-up regions, water and vegetation land haven't changed much. LULC change analysis required assessing Ambattur groundwater quality. Physico-chemical investigations and ionic concentrations show that Ambattur industrial zone groundwater is contaminated and unsafe for human consumption. WQI shows that 60% of groundwater is unfit in both seasons. Evaporation and rock-water interaction alter the area's groundwater chemistry. Hydrogeochemical facies diagrams show alternating alkaline and alkali dominance, as well as strong and weak acids. According to correlation matrices, all analytical parameters except pH have a positive correlation. Four basic components and a cluster contribute to understanding industrial pollution. Novelty: (i) The present study integrates LULC changes and hydrogeochemistry for the evaluation of groundwater quality. (ii) The comprehensive approach of analyzing LULC changes in conjunction with evaluating the groundwater geochemistry gives new insights in groundwater management for the long-term development of any region. https://www.indjst.org/

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Assessing Groundwater Dynamics and Potentiality in the Lower Ganga Plain, India

Cited by 11 publications

References 66 publications

Application of GIS, Multi-Criteria Decision-Making Techniques for Mapping Groundwater Potential Zones: A Case Study of Thalawa Division, Sri Lanka

Application of GIS, Multi-Criteria Decision-Making Techniques for Mapping Groundwater Potential Zones: A Case Study of Thalawa Division, Sri Lanka

Prediction of the potential distribution area of Glycyrrhiza inflata in China using a MaxEnt model

An Integrated assessment on LULC changes and Groundwater Quality in Ambattur Zone of Metropolitan Chennai, India

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