Analysis of spatio-temporal trend in groundwater elevation data from arsenic affected alluvial aquifers –  Case study from Murshidabad district, West Bengal, Eastern India

Chatterjee, Rhitwik; Samadder, Swetadri; Mondal, Debabrata; Adhikari, Kalyan

doi:10.1007/s12040-020-01489-8

Cited by 10 publications

(8 citation statements)

References 60 publications

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“…A proper approach towards maintaining the overall balance between groundwater recharge and discharge and a continuous monitoring of the water samples for its proper management is mandatory in the study area to escape from the effect of long-term build-up of salinity. Works related to groundwater quality and its management in Murshidabad district have been previously performed by some researchers (Mukherjee et al 2007;Farooq et al 2010;Chowdhury and Paul 2019;Chatterjee et al 2020;Mukhopadhyay et al 2020). Since not much of extensive research has been carried out till date in and around Sagardighi to assess the water quality for irrigational practice, the primary objective of undertaking this work was to decide the suitability of the available groundwater for agricultural and irrigation practices in Sagardighi block of Murshidabad district, West Bengal.…”

Section: Introductionmentioning

confidence: 99%

Suitability assessment of groundwater quality for irrigational use in Sagardighi block, Murshidabad district, West Bengal

et al. 2022

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Groundwater alone comprises nearly about 80% of the available water for irrigation purpose in Murshidabad and this usage of groundwater for irrigation is yet to increase further in the upcoming years. The present study was carried out to access the groundwater’s suitability for different agricultural purposes in and around Sagardighi block of Murshidabad district, West Bengal, India. Groundwater samples from thirty three different locations around Sagardighi were collected and then tested in the laboratory for various physical as well as chemical parameters such as electrical conductivity (EC), total dissolved solids (TDS), pH, some major cations (Ca2+, Mg2+, Na+, K+, Fe2+) and some anions (CO32−, HCO3−, Cl−). To further delineate the suitable groundwater zones for irrigation practices, the irrigation water quality parameters such as sodium adsorption ratio (SAR), sodium percentage (Na%), magnesium adsorption ratio (MAR), permeability index (PI), residual sodium carbonate (RSC), Kelly’s ratio (KR) were also calculated. Results show that most of the water samples had low to medium salinity, while only a very few of the samples show high salinity. Piper trilinear plot reveals that the water is primarily of Ca–Mg–HCO3− facies type. The SAR value of majority of the water samples in the study area are less than 10, which is within safe limits. RSC values indicate that the carbonate content is extremely low in the groundwater of the study area. Overall, the results indicate that majority of the samples are fit to be used for irrigational purpose. The findings of this study would help decision-makers in developing irrigation suitability planning and groundwater resource management in the future.

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Section: Introductionmentioning

confidence: 99%

Suitability assessment of groundwater quality for irrigational use in Sagardighi block, Murshidabad district, West Bengal

et al. 2022

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“…Therefore, As exposure through the food chain cannot be ruled out because most agricultural land uses groundwater for irrigation . Chatterjee et al observed a significant declining trend (at 5% level of significance) in groundwater levels (up to 0.65 m/yr, based on decade long depth to water level data measured from 1996 to 2016) in the study area. The decline in the groundwater level, together with intense irrigation pumping, could facilitate instability of the aquifer’s geochemical conditions by altering groundwater flow dynamics and aquifer mixing.…”

Section: Public Health Considerations and Mitigation Measuresmentioning

confidence: 74%

“…11 A previous study documented that the aquifer to the west of the Bhagirathi River is dominated by Pleistocene orange sands, while to the east, gray Holocene sands dominate. 65 Orange Pleistocene sands have much greater adsorption capacity than gray Holocene sands and thus control aquifer As distribution. 17 The areas near the two adjacent rivers are either low-or moderate-risk.…”

Section: Arsenic Hazard Probabilistic Zones and Population Exposedmentioning

confidence: 99%

Geospatial Machine Learning Prediction of Arsenic Distribution in the Groundwater of Murshidabad District, West Bengal, India: Analyzing Spatiotemporal Patterns to Understand Human Health Risk

et al. 2022

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Arsenic (As) contamination of groundwater in parts of South and Southeast Asia is a public health disaster. Millions of people living in these regions could be chronically exposed to drinking water with As concentrations above the World Health Organization's provisional guideline of 10 μg/L. Recent field investigations have shown that the distribution of groundwater As in some shallow aquifers in India and Bangladesh is evolving rapidly because of massive irrigation pumping. This study compares a decadeold dataset of As concentration measurements in groundwater with a dataset of recent measurements using geospatial machine learning techniques. We observed that the probability of As concentrations >10 μg/L was much greater in the regions between two major rivers than in the regions close to the Ganges River on the eastern border of the study area, where higher proportions of As concentrations >10 μg/L had been observed prior to 2005. The greater likelihood that toxic concentrations of As are present away from the river channel and is found instead in the interfluvial regions could be attributed to the transport and flushing of aquifer As from intense irrigation pumping. We estimated that about 2.8 million people could be chronically exposed to As concentrations >10 μg/L. This high population-level exposure to elevated As concentrations could be reduced through targeted well-testing campaigns, promoting well-switching, provisions for safe water access, and developing plans for raising public awareness. Policymakers could use the ternary hazard map presented here to target high-risk localities for priority implementation of piped water supply strategies to help reduce human suffering.

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“…9) due to its tremendous increase of population growth and related anthropogenic stress. A study in Murshidabad district of Bengal depicted that the climatic variability and cropping pattern have a significant impact over groundwater level but the human encroachment over hydraulic regime and continuous pumping through groundwater is responsible for negative trend of water level (Chatterjee et al 2020;Bera et al 2021b). The results of land use land cover map of Purulia district clearly indicate a rising trend (15.34%) of agricultural land within 2000-2020.…”

Section: Discussionmentioning

confidence: 99%

“…Null hypothesis signifies that there is no trend in the dataset, whereas the alternative hypothesis defines that there is a presence of positive or negative trend (Halder et al 2020). Chatterjee et al (Chatterjee et al 2020) have successfully applied Mann-Kendall test for the determination of the fluctuation trend of groundwater table in Murshidabad district of Bengal (India). In this research, Mann-Kendall test has been applied over a long-term groundwater data set to properly demarcate the positive or the negative trend of the groundwater level in the study area.…”

Section: Mann-kendall Testmentioning

confidence: 99%

Steady declining trend of groundwater table and severe water crisis in unconfined hard rock aquifers in extended part of Chota Nagpur Plateau, India

et al. 2022

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Scarcity of groundwater is a severe problem in this region due to over exploitation of groundwater from unconfined hard rock aquifers. The main objectives of this study are to analyse the spatiotemporal variability and fluctuation of groundwater table and to predict the location of groundwater depression pockets. Total 21 consecutive years (1996–2017) groundwater monitoring well data (pre- and post-monsoon) have been collected from CGWB, Government of India. The nonparametric Mann–Kendall trend analysis and standardized precipitation index (SPI) have been applied to detect the trend of groundwater level and rainfall variability, respectively. Exponential smoothing has also been fitted for future prediction. The pre- and post-monsoon results (1996–2017) showed that around 77% (22 stations) and 78% (23) monitoring stations were indicating declining trend of groundwater table at the rate of −0.006 to −0.205 m/year and −0.005 to −0.192 m/year, respectively. Similarly, future (2040) groundwater depression result predicted that around 75% (21) stations, the groundwater table will be depleted above 5 m during pre-monsoon while about 53% (16 stations) monitoring wells, the groundwater table will be fallen above 5 m during post-monsoon. Consequently, around 52% (15) and 50% (14) stations are being faced groundwater drought in the recurrent interval of above 2 years during pre-monsoon and post-monsoon, respectively. Driving factors of water table depletion are huge withdrawal of groundwater for dry farming and reduction of recharge areas due to rapid land use modification. The uniqueness of this study exhibits the nature of declining trend of groundwater table and identification of depression pockets.

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Analysis of spatio-temporal trend in groundwater elevation data from arsenic affected alluvial aquifers – Case study from Murshidabad district, West Bengal, Eastern India

Cited by 10 publications

References 60 publications

Suitability assessment of groundwater quality for irrigational use in Sagardighi block, Murshidabad district, West Bengal

Suitability assessment of groundwater quality for irrigational use in Sagardighi block, Murshidabad district, West Bengal

Geospatial Machine Learning Prediction of Arsenic Distribution in the Groundwater of Murshidabad District, West Bengal, India: Analyzing Spatiotemporal Patterns to Understand Human Health Risk

Steady declining trend of groundwater table and severe water crisis in unconfined hard rock aquifers in extended part of Chota Nagpur Plateau, India

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