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We examine groundwater recharge processes and their relationship to rainfall intensity in the semi-arid, southwestern Lake Chad Basin of Nigeria using a newly compiled database of stable-isotope data (δ2H, δ18O) from groundwater and rainfall. δ18O signatures in groundwater proximate to surface waters are enriched in 18O relative to regional rainfall and trace focused groundwater recharge from evaporated waters via ephemeral river discharge and Lake Chad; groundwater remote from river channels is comparatively depleted and associated with diffuse recharge, often via sand dunes. Stable-isotope ratios of O and H (δ2H, δ18O) in groundwater samples regress to a value along the local meteoric waterline that is depleted relative to weighted mean composition of rainfall, consistent with rainfall exceeding the 60th percentile of monthly precipitation intensity. The observed bias in groundwater recharge to heavy monthly rainfall suggests that the intensification of tropical rainfall under global warming favours groundwater recharge in this basin.
Ibrahim Baba Goni; Richard G. Taylor; Guillaume Favreau; Mohammad Shamsudduha; Yahaya Nazoumou; Benjamin Ngounou Ngatcha. Groundwater recharge from heavy rainfall in the southwestern Lake Chad Basin: evidence from isotopic observations. Hydrological Sciences Journal 2021, 66, 1359 -1371.
AMA StyleIbrahim Baba Goni, Richard G. Taylor, Guillaume Favreau, Mohammad Shamsudduha, Yahaya Nazoumou, Benjamin Ngounou Ngatcha. Groundwater recharge from heavy rainfall in the southwestern Lake Chad Basin: evidence from isotopic observations. Hydrological Sciences Journal. 2021; 66 (8):1359-1371.
Chicago/Turabian StyleIbrahim Baba Goni; Richard G. Taylor; Guillaume Favreau; Mohammad Shamsudduha; Yahaya Nazoumou; Benjamin Ngounou Ngatcha. 2021. "Groundwater recharge from heavy rainfall in the southwestern Lake Chad Basin: evidence from isotopic observations." Hydrological Sciences Journal 66, no. 8: 1359-1371.
Groundwater is the largest store of freshwater on Earth after the cryosphere and provides a substantial proportion of the water used for domestic, irrigation and industrial purposes. Knowledge of this essential resource remains incomplete, in part, because of observational challenges of scale and accessibility. Here we examine a 14-year period (2002–2016) of Gravity Recovery and Climate Experiment (GRACE) observations to investigate climate–groundwater dynamics of 14 tropical and sub-tropical aquifers selected from WHYMAP's (Worldwide Hydrogeological Mapping and Assessment Programme) 37 large aquifer systems of the world. GRACE-derived changes in groundwater storage resolved using GRACE Jet Propulsion Laboratory (JPL) mascons and the Community Land Model's land surface model are related to precipitation time series and regional-scale hydrogeology. We show that aquifers in dryland environments exhibit long-term hydraulic memory through a strong correlation between groundwater storage changes and annual precipitation anomalies integrated over the time series; aquifers in humid environments show short-term memory through strong correlation with monthly precipitation. This classification is consistent with estimates of groundwater response times calculated from the hydrogeological properties of each system, with long (short) hydraulic memory associated with slow (rapid) response times. The results suggest that groundwater systems in dryland environments may be less sensitive to seasonal climate variability but vulnerable to long-term trends from which they will be slow to recover. In contrast, aquifers in humid regions may be more sensitive to climate disturbances such as drought related to the El Niño–Southern Oscillation but may also be relatively quick to recover. Exceptions to this general pattern are traced to human interventions through groundwater abstraction. Hydraulic memory is an important factor in the management of groundwater resources, particularly under climate change.
Simon Opie; Richard G. Taylor; Chris M. Brierley; Mohammad Shamsudduha; Mark O. Cuthbert. Climate–groundwater dynamics inferred from GRACE and the role of hydraulic memory. Earth System Dynamics 2020, 11, 775 -791.
AMA StyleSimon Opie, Richard G. Taylor, Chris M. Brierley, Mohammad Shamsudduha, Mark O. Cuthbert. Climate–groundwater dynamics inferred from GRACE and the role of hydraulic memory. Earth System Dynamics. 2020; 11 (3):775-791.
Chicago/Turabian StyleSimon Opie; Richard G. Taylor; Chris M. Brierley; Mohammad Shamsudduha; Mark O. Cuthbert. 2020. "Climate–groundwater dynamics inferred from GRACE and the role of hydraulic memory." Earth System Dynamics 11, no. 3: 775-791.
Under variable and changing climates groundwater storage sustains vital ecosystems and enables freshwater withdrawals globally for agriculture, drinking water, and industry. Here, we assess recent changes in groundwater storage (ΔGWS) from 2002 to 2016 in 37 of the world's large aquifer systems using an ensemble of datasets from the Gravity Recovery and Climate Experiment (GRACE) and land surface models (LSMs). Ensemble GRACE-derived ΔGWS is well reconciled to in situ observations (r=0.62–0.86, p value 0.5, p value 90th percentile, 1901–2016) precipitation and is inconsistent with prevailing narratives of global-scale groundwater depletion at the scale of the GRACE footprint (∼200 000 km2). Substantial uncertainty remains in estimates of GRACE-derived ΔGWS, evident from 20 realisations presented here, but these data provide a regional context to changes in groundwater storage observed more locally through piezometry.
Mohammad Shamsudduha; Richard G. Taylor. Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation. Earth System Dynamics 2020, 11, 755 -774.
AMA StyleMohammad Shamsudduha, Richard G. Taylor. Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation. Earth System Dynamics. 2020; 11 (3):755-774.
Chicago/Turabian StyleMohammad Shamsudduha; Richard G. Taylor. 2020. "Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation." Earth System Dynamics 11, no. 3: 755-774.
For the last few decades, toxic levels of arsenic (As) in groundwater from the aquifers of the Ganges River delta, India and Bangladesh, have been known to cause serious public health concerns. Innumerable studies have advocated the control of geomorphologic, geologic, hydrogeologic, biogeochemical, and anthropogenic factors on arsenic mobilization, flow, and distribution patterns within the Ganges River delta. We have developed transboundary regional-scale simulation models for computing the probability of groundwater As concentrations to exceed the WHO permissible thresholds for drinking water of 10 μg/L within the Ganges River delta as a function of the various geomorphologic-(hydro)geologic-hydrostratigraphic-anthropogenic controlling factors, using statistical and supervised learning methods [using Random Forest (RF), Boosted Regression Trees (BRT) and Logistic Regression (LR) algorithms], followed by probabilistic delineation the high As-hazard zones within the delta. A “hybrid multi-modeling approach” was adapted for this study, which involved the introduction of hydrostratigraphic parameters (aquifer connectivity and surficial aquitard thickness) derived from a high-resolution transboundary hydrostratigraphic model developed for Ganges River delta aquifer system, as predictors for modeling groundwater As probabilities within the delta. The RF model outperforms the BRT and LR model in terms of model performance. Model outputs suggest the dominant influence of surficial aquitard thickness and groundwater-fed irrigated area (%) on groundwater As. While, the north-central and southern regions of the Ganges River delta show low As-hazard (10 μg/L). An estimated 30.3 million people are found to be exposed to elevated groundwater As within the study area. Thus, our study demonstrates that such hybrid, predictive models are not only helpful in delineating the regional-scale distribution of groundwater As-hazard zones in the areas with limited As data but is also useful in identifying the possible exogenous forcing that may have led to the worst, natural pollution in human history.
Madhumita Chakraborty; Soumyajit Sarkar; Abhijit Mukherjee; Mohammad Shamsudduha; Kazi Matin Ahmed; Animesh Bhattacharya; Adway Mitra. Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning. Science of The Total Environment 2020, 748, 141107 .
AMA StyleMadhumita Chakraborty, Soumyajit Sarkar, Abhijit Mukherjee, Mohammad Shamsudduha, Kazi Matin Ahmed, Animesh Bhattacharya, Adway Mitra. Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning. Science of The Total Environment. 2020; 748 ():141107.
Chicago/Turabian StyleMadhumita Chakraborty; Soumyajit Sarkar; Abhijit Mukherjee; Mohammad Shamsudduha; Kazi Matin Ahmed; Animesh Bhattacharya; Adway Mitra. 2020. "Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning." Science of The Total Environment 748, no. : 141107.
This study explores the associations of drinking rainwater with mineral intake and cardiometabolic health in the Bangladeshi population. We pooled 10030 person-visit data on drinking water sources, blood pressure (BP) and 24-h urine minerals. Fasting blood glucose (FBG) was measured in 3724 person-visits, and lipids in 1118 person-visits. We measured concentrations of sodium (Na), potassium (K), calcium (Ca) and magnesium (Mg) in 253 rainwater, 935 groundwater and 130 pond water samples. We used multilevel linear or gamma regression models with participant-, household- and community-level random intercepts to estimate the associations of rainwater consumption with urine minerals and cardiometabolic biomarkers. Rainwater samples had the lowest concentrations of Na, K, Ca and Mg. Rainwater drinkers had lower urine minerals than coastal groundwater drinkers: −13.42 (95% CI: −18.27, −8.57) mmol Na/24 h, −2.00 (95% CI: −3.16, −0.85) mmol K/24 h and −0.57 (95% CI: −1.02, −0.16) mmol Mg/24 h. The ratio of median 24-hour urinary Ca for rainwater versus coastal groundwater drinkers was 0.72 (95% CI: 0.64, 0.80). Rainwater drinkers had 2.15 (95% CI: 1.02, 3.27) mm Hg higher systolic BP, 1.82 (95% CI: 1.19, 2.54) mm Hg higher diastolic BP, 0.59 (95% CI: 0.17, 1.01) mmol/L higher FBG and −2.02 (95% CI: −5.85, 0.81) mg/dl change in high-density lipoprotein cholesterol compared with the coastal groundwater drinkers. Drinking rainwater was associated with worse cardiometabolic health measures, which may be due to the lower intake of salubrious Ca, Mg and K.
Abu Mohd Naser; Mahbubur Rahman; Leanne Unicomb; Sarker Masud Parvez; Shariful Islam; Solaiman Doza; Golam Kibria Khan; Kazi Matin Ahmed; Shuchi Anand; Stephen P. Luby; Mohammad Shamsudduha; Matthew O. Gribble; K. M. Venkat Narayan; Thomas F. Clasen. Associations of drinking rainwater with macro-mineral intake and cardiometabolic health: a pooled cohort analysis in Bangladesh, 2016–2019. npj Clean Water 2020, 3, 1 -11.
AMA StyleAbu Mohd Naser, Mahbubur Rahman, Leanne Unicomb, Sarker Masud Parvez, Shariful Islam, Solaiman Doza, Golam Kibria Khan, Kazi Matin Ahmed, Shuchi Anand, Stephen P. Luby, Mohammad Shamsudduha, Matthew O. Gribble, K. M. Venkat Narayan, Thomas F. Clasen. Associations of drinking rainwater with macro-mineral intake and cardiometabolic health: a pooled cohort analysis in Bangladesh, 2016–2019. npj Clean Water. 2020; 3 (1):1-11.
Chicago/Turabian StyleAbu Mohd Naser; Mahbubur Rahman; Leanne Unicomb; Sarker Masud Parvez; Shariful Islam; Solaiman Doza; Golam Kibria Khan; Kazi Matin Ahmed; Shuchi Anand; Stephen P. Luby; Mohammad Shamsudduha; Matthew O. Gribble; K. M. Venkat Narayan; Thomas F. Clasen. 2020. "Associations of drinking rainwater with macro-mineral intake and cardiometabolic health: a pooled cohort analysis in Bangladesh, 2016–2019." npj Clean Water 3, no. 1: 1-11.
Groundwater is the largest store of freshwater on Earth after the cryosphere and provides a substantial proportion of the water used for domestic, irrigation and industrial purposes. Knowledge of the relationship between groundwater and climate is limited and undermined by the scale, duration, and accessibility of observations. Here we examine a 14-year period (2002-2016) of GRACE observations to investigate climate-groundwater dynamics of 14 tropical and sub-tropical aquifers selected from WHYMAP’s 37 large aquifer systems of the world. GRACE-derived changes in groundwater storage resolved using GRACE JPL Mascons and the CLM Land Surface Model are related to precipitation time series and regional-scale hydrogeology. We show that aquifers in dryland environments exhibit long-term hydraulic memory through a strong correlation between groundwater storage changes and annual precipitation anomalies integrated over the time series; aquifers in humid environments show short-term memory through strong correlation with monthly precipitation. This classification is consistent with estimates of Groundwater Response Times calculated from the hydrogeological properties of each system, with long (short) hydraulic memory associated with slow (rapid) response times. The results suggest that groundwater systems in dryland environments may be less sensitive to seasonal climate variability but vulnerable to long-term trends from which they will be slow to recover. In contrast, aquifers in humid regions may be more sensitive to seasonal climate disturbances such as ENSO-related drought but may also be relatively quick to recover. Exceptions to this general pattern are traced to human interventions through groundwater abstraction. Hydraulic memory is an important factor in the management of groundwater resources, particularly under climate change.
Richard Taylor; Simon Opie; Chris Brierley; Mohammad Shamsudduha; Mark Cuthbert. Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory. 2020, 1 .
AMA StyleRichard Taylor, Simon Opie, Chris Brierley, Mohammad Shamsudduha, Mark Cuthbert. Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory. . 2020; ():1.
Chicago/Turabian StyleRichard Taylor; Simon Opie; Chris Brierley; Mohammad Shamsudduha; Mark Cuthbert. 2020. "Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory." , no. : 1.
Mohammad Shamsudduha. Response to Reviewer 2 (Dr Soumendra Bhanja). 2020, 1 .
AMA StyleMohammad Shamsudduha. Response to Reviewer 2 (Dr Soumendra Bhanja). . 2020; ():1.
Chicago/Turabian StyleMohammad Shamsudduha. 2020. "Response to Reviewer 2 (Dr Soumendra Bhanja)." , no. : 1.
Mohammad Shamsudduha. Response to Reviewer 1 (Professor Marc Bierkens). 2020, 1 .
AMA StyleMohammad Shamsudduha. Response to Reviewer 1 (Professor Marc Bierkens). . 2020; ():1.
Chicago/Turabian StyleMohammad Shamsudduha. 2020. "Response to Reviewer 1 (Professor Marc Bierkens)." , no. : 1.
Simon Opie; Richard G. Taylor; Chris M. Brierley; Mohammad Shamsudduha; Mark O. Cuthbert. Supplementary material to "Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory". 2020, 1 .
AMA StyleSimon Opie, Richard G. Taylor, Chris M. Brierley, Mohammad Shamsudduha, Mark O. Cuthbert. Supplementary material to "Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory". . 2020; ():1.
Chicago/Turabian StyleSimon Opie; Richard G. Taylor; Chris M. Brierley; Mohammad Shamsudduha; Mark O. Cuthbert. 2020. "Supplementary material to "Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory"." , no. : 1.
Groundwater is the largest store of freshwater on Earth after the cryosphere and provides a substantial proportion of the water used for domestic, irrigation and industrial purposes. Knowledge of this essential resource remains incomplete, in part, because of observational challenges of scale and accessibility. Here we examine a 14-year period (2002–2016) of GRACE observations to investigate climate-groundwater dynamics of 14 tropical and sub-tropical aquifers selected from WHYMAP's 37 large aquifer systems of the world. GRACE-derived changes in groundwater storage resolved using GRACE JPL Mascons and the CLM Land Surface Model are related to precipitation time series and regional-scale hydrogeology. We show that aquifers in dryland environments exhibit long-term hydraulic memory through a strong correlation between groundwater storage changes and annual precipitation anomalies integrated over the time series; aquifers in humid environments show short-term memory through strong correlation with monthly precipitation. This classification is consistent with estimates of Groundwater Response Times calculated from the hydrogeological properties of each system, with long (short) hydraulic memory associated with slow (rapid) response times. The results suggest that groundwater systems in dryland environments may be less sensitive to seasonal climate variability but vulnerable to long-term trends from which they will be slow to recover. In contrast, aquifers in humid regions may be more sensitive to seasonal climate disturbances such as ENSO-related drought but may also be relatively quick to recover. Exceptions to this general pattern are traced to human interventions through groundwater abstraction. Hydraulic memory is an important factor in the management of groundwater resources, particularly under climate change.
Simon Opie; Richard G. Taylor; Chris M. Brierley; Mohammad Shamsudduha; Mark O. Cuthbert. Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory. 2020, 2020, 1 -28.
AMA StyleSimon Opie, Richard G. Taylor, Chris M. Brierley, Mohammad Shamsudduha, Mark O. Cuthbert. Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory. . 2020; 2020 ():1-28.
Chicago/Turabian StyleSimon Opie; Richard G. Taylor; Chris M. Brierley; Mohammad Shamsudduha; Mark O. Cuthbert. 2020. "Climate-groundwater dynamics inferred from GRACE and the role of hydraulic memory." 2020, no. : 1-28.
Groundwater currently provides 98% of all drinking-water supply in Bangladesh. Groundwater is found throughout Bangladesh but its quality (i.e., arsenic and salinity contamination) and quantity (i.e., water-storage depletion) vary across hydrological environments, posing unique challenges to certain geographical areas and population groups. Yet, no national-scale, multi-parameter groundwater hazard maps currently exist enabling water resources managers and policy makers to identify vulnerable areas to public health. We develop, for the first time, groundwater multi-hazard maps at the national scale of Bangladesh combining information on arsenic, salinity, and water storage. We apply geospatial techniques in ‘R’ programming language and ArcGIS environment, linking hydrological indicators for water quality and quantity to construct risk maps. A range of socioeconomic variables including access to drinking and irrigation water supplies and social vulnerability (i.e., poverty) are overlaid on these risk maps to estimate exposures. Our multi-parameter groundwater hazard maps show that a considerable proportion of land area (5–24% under extremely high to high risks) in Bangladesh is currently under combined risk of arsenic and salinity contamination, and groundwater-storage depletion. As small as 6.5 million (2.2 million poor) to 24.4 million (8.6 million poor) people are exposed to a combined risk of high arsenic, salinity, and groundwater-storage depletion. Our groundwater hazard maps reveal areas and exposure of population groups to water risks posed by arsenic and salinity contamination and depletion of water storage. These geospatial hazard maps can potentially guide policy makers in prioritizing mitigation and adaptation measures in order to achieve the United Nation’s Sustainable Development Goals across the water, agriculture, and public health sectors in Bangladesh.
Mohammad Shamsudduha; George Joseph; Sabrina S. Haque; Mahfuzur R. Khan; Anwar Zahid; Kazi Matin Ahmed. Multi-hazard Groundwater Risks to Water Supply from Shallow Depths: Challenges to Achieving the Sustainable Development Goals in Bangladesh. Exposure and Health 2019, 12, 657 -670.
AMA StyleMohammad Shamsudduha, George Joseph, Sabrina S. Haque, Mahfuzur R. Khan, Anwar Zahid, Kazi Matin Ahmed. Multi-hazard Groundwater Risks to Water Supply from Shallow Depths: Challenges to Achieving the Sustainable Development Goals in Bangladesh. Exposure and Health. 2019; 12 (4):657-670.
Chicago/Turabian StyleMohammad Shamsudduha; George Joseph; Sabrina S. Haque; Mahfuzur R. Khan; Anwar Zahid; Kazi Matin Ahmed. 2019. "Multi-hazard Groundwater Risks to Water Supply from Shallow Depths: Challenges to Achieving the Sustainable Development Goals in Bangladesh." Exposure and Health 12, no. 4: 657-670.
Mohammad Shamsudduha; Richard G. Taylor. Supplementary material to "Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation". 2019, 1 .
AMA StyleMohammad Shamsudduha, Richard G. Taylor. Supplementary material to "Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation". . 2019; ():1.
Chicago/Turabian StyleMohammad Shamsudduha; Richard G. Taylor. 2019. "Supplementary material to "Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation"." , no. : 1.
Under variable and changing climates groundwater storage sustains vital ecosystems and enables freshwater withdrawals globally for agriculture, drinking-water, and industry. Here, we assess recent changes in groundwater storage (ΔGWS) from 2002 to 2016 in 37 of the world's large aquifer systems using an ensemble of datasets from the Gravity Recovery and Climate Experiment (GRACE) and Land Surface Models (LSMs). Ensemble GRACE-derived ΔGWS is well reconciled to in-situ observations (r = 0.62–0.86, p value 0.5, p value 90th percentile, 1901–2016) precipitation and is inconsistent with prevailing narratives of global-scale groundwater depletion. Substantial uncertainty remains in estimates of GRACE-derived ΔGWS, evident from 20 realisations presented here, but these data provide a regional context to changes in groundwater storage observed more locally through piezometry.
Mohammad Shamsudduha; Richard G. Taylor. Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation. Earth System Dynamics Discussions 2019, 2019, 1 -36.
AMA StyleMohammad Shamsudduha, Richard G. Taylor. Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation. Earth System Dynamics Discussions. 2019; 2019 ():1-36.
Chicago/Turabian StyleMohammad Shamsudduha; Richard G. Taylor. 2019. "Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation." Earth System Dynamics Discussions 2019, no. : 1-36.
Background: We assessed the association of groundwater chemicals with systolic blood pressure (SBP) and diastolic blood pressure (DBP). Methods: Blood pressure data for ≥35-year-olds were from the Bangladesh Demographic and Health Survey in 2011. Groundwater chemicals in 3534 well water samples from Bangladesh were measured by the British Geological Survey (BGS) in 1998-1999. Participants who reported groundwater as their primary source of drinking water were assigned chemical measures from the nearest BGS well. Survey-adjusted linear regression methods were used to assess the association of each groundwater chemical with the log-transformed blood pressure of the participants. Models were adjusted for age, sex, body mass index, smoking status, geographical region, household wealth, rural or urban residence, and educational attainment, and further adjusted for all other groundwater chemicals. Results: One standard deviation (SD) increase in groundwater magnesium was associated with a 0.992 (95% confidence interval (CI): 0.986, 0.998) geometric mean ratio (GMR) of SBP and a 0.991 (95% CI: 0.985, 0.996) GMR of DBP when adjusted for covariates except groundwater chemicals. When additionally adjusted for groundwater chemicals, one SD increase in groundwater magnesium was associated with a 0.984 (95% CI: 0.972, 0.997) GMR of SBP and a 0.990 (95% CI: 0.979, 1.000) GMR of DBP. However, associations were attenuated following Bonferroni-correction for multiple chemical comparisons in the full-adjusted model. Groundwater concentrations of calcium, potassium, silicon, sulfate, barium, zinc, manganese, and iron were not associated with SBP or DBP in the full-adjusted models. Conclusions: Groundwater magnesium had a weak association with lower SBP and DBP of the participants.
Abu Mohd Naser; Thomas F. Clasen; Stephen P. Luby; Mahbubur Rahman; Leanne Unicomb; Kazi Matin Ahmed; Solaiman Doza; Shadassa Ourshalimian; Howard H. Chang; Jennifer D. Stowell; K. M. Venkat Narayan; Mohammad Shamsudduha; Shivani A. Patel; Bethany O’Shea; Matthew O. Gribble. Groundwater Chemistry and Blood Pressure: A Cross-Sectional Study in Bangladesh. International Journal of Environmental Research and Public Health 2019, 16, 2289 .
AMA StyleAbu Mohd Naser, Thomas F. Clasen, Stephen P. Luby, Mahbubur Rahman, Leanne Unicomb, Kazi Matin Ahmed, Solaiman Doza, Shadassa Ourshalimian, Howard H. Chang, Jennifer D. Stowell, K. M. Venkat Narayan, Mohammad Shamsudduha, Shivani A. Patel, Bethany O’Shea, Matthew O. Gribble. Groundwater Chemistry and Blood Pressure: A Cross-Sectional Study in Bangladesh. International Journal of Environmental Research and Public Health. 2019; 16 (13):2289.
Chicago/Turabian StyleAbu Mohd Naser; Thomas F. Clasen; Stephen P. Luby; Mahbubur Rahman; Leanne Unicomb; Kazi Matin Ahmed; Solaiman Doza; Shadassa Ourshalimian; Howard H. Chang; Jennifer D. Stowell; K. M. Venkat Narayan; Mohammad Shamsudduha; Shivani A. Patel; Bethany O’Shea; Matthew O. Gribble. 2019. "Groundwater Chemistry and Blood Pressure: A Cross-Sectional Study in Bangladesh." International Journal of Environmental Research and Public Health 16, no. 13: 2289.
The impact of climate variability on groundwater storage has received limited attention despite widespread dependence on groundwater as a resource for drinking water, agriculture and industry. Here, we assess the climate anomalies that occurred over Southern Africa (SA) and East Africa, south of the Equator (EASE), during the major El Niño event of 2015–2016, and their associated impacts on groundwater storage, across scales, through analysis of in situ groundwater piezometry and Gravity Recovery and Climate Experiment (GRACE) satellite data. At the continental scale, the El Niño of 2015–2016 was associated with a pronounced dipole of opposing rainfall anomalies over EASE and Southern Africa, north–south of ∼12∘ S, a characteristic pattern of the El Niño–Southern Oscillation (ENSO). Over Southern Africa the most intense drought event in the historical record occurred, based on an analysis of the cross-scale areal intensity of surface water balance anomalies (as represented by the standardised precipitation evapotranspiration index – SPEI), with an estimated return period of at least 200 years and a best estimate of 260 years. Climate risks are changing, and we estimate that anthropogenic warming only (ignoring changes to other climate variables, e.g. precipitation) has approximately doubled the risk of such an extreme SPEI drought event. These surface water balance deficits suppressed groundwater recharge, leading to a substantial groundwater storage decline indicated by both GRACE satellite and piezometric data in the Limpopo basin. Conversely, over EASE during the 2015–2016 El Niño event, anomalously wet conditions were observed with an estimated return period of ∼10 years, likely moderated by the absence of a strongly positive Indian Ocean zonal mode phase. The strong but not extreme rainy season increased groundwater storage, as shown by satellite GRACE data and rising groundwater levels observed at a site in central Tanzania. We note substantial uncertainties in separating groundwater from total water storage in GRACE data and show that consistency between GRACE and piezometric estimates of groundwater storage is apparent when spatial averaging scales are comparable. These results have implications for sustainable and climate-resilient groundwater resource management, including the potential for adaptive strategies, such as managed aquifer recharge during episodic recharge events.
Seshagiri Rao Kolusu; Mohammad Shamsudduha; Martin C. Todd; Richard G. Taylor; David Seddon; Japhet J. Kashaigili; Girma Y. Ebrahim; Mark O. Cuthbert; James P. R. Sorensen; Karen G. Villholth; Alan M. MacDonald; Dave A. MacLeod. The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa. Hydrology and Earth System Sciences 2019, 23, 1751 -1762.
AMA StyleSeshagiri Rao Kolusu, Mohammad Shamsudduha, Martin C. Todd, Richard G. Taylor, David Seddon, Japhet J. Kashaigili, Girma Y. Ebrahim, Mark O. Cuthbert, James P. R. Sorensen, Karen G. Villholth, Alan M. MacDonald, Dave A. MacLeod. The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa. Hydrology and Earth System Sciences. 2019; 23 (3):1751-1762.
Chicago/Turabian StyleSeshagiri Rao Kolusu; Mohammad Shamsudduha; Martin C. Todd; Richard G. Taylor; David Seddon; Japhet J. Kashaigili; Girma Y. Ebrahim; Mark O. Cuthbert; James P. R. Sorensen; Karen G. Villholth; Alan M. MacDonald; Dave A. MacLeod. 2019. "The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa." Hydrology and Earth System Sciences 23, no. 3: 1751-1762.
Nearly one-fifth of the Earth's seasonally-available freshwater is stored in the densely-populated, alluvial floodplains of the Brahmaputra, Ganges, Indus, Irrawaddy and Meghna River Systems in the Himalayan region where extreme hydrological conditions exist due to the seasonal variability in terrestrial water storage (TWS). Groundwater storage (GWS) – a hidden resource underneath the land surface, plays a critical role in sustaining irrigated agriculture in these river basins, particularly during the dry season when rice crops are generally grown in the groundwater-irrigated lands across South Asia. Although monitoring of groundwater levels has been operational in the region for a number of decades, a basin-wide comprehensive assessment of GWS is lacking in most river basins. The NASA's Gravity Recovery and Climate Experiment (GRACE) twin satellites offer an opportunity to map basin-wide changes in GWS where in-situ observations are limited in time and space. GRACE-derived assessments of GWS vary substantially in these basins and have not been reconciled with in-situ observations in most cases. Recent declining trends in GWS over the Himalayan river basins are attributed to over-abstraction of groundwater for dry-season irrigation. Seasonal variability in terrestrial water is likely to increase or become unpredictable in the future as a result of increased climate variability. The consequent impacts may potentially threaten the security of water supply in the region, where there is currently a growing demand for food grains from irrigated agriculture, energy, and domestic and industrial water supplies.
Mohammad Shamsudduha; Dileep K. Panda. Spatio-temporal changes in terrestrial water storage in the Himalayan river basins and risks to water security in the region: A review. International Journal of Disaster Risk Reduction 2019, 35, 1 .
AMA StyleMohammad Shamsudduha, Dileep K. Panda. Spatio-temporal changes in terrestrial water storage in the Himalayan river basins and risks to water security in the region: A review. International Journal of Disaster Risk Reduction. 2019; 35 ():1.
Chicago/Turabian StyleMohammad Shamsudduha; Dileep K. Panda. 2019. "Spatio-temporal changes in terrestrial water storage in the Himalayan river basins and risks to water security in the region: A review." International Journal of Disaster Risk Reduction 35, no. : 1.
The goal of this study was to evaluate the association between groundwater arsenic and fasting blood glucose in the context of other groundwater chemicals, in Bangladesh. Fasting blood glucose, gender, body mass index, sociodemographic variables, and diabetes medication use were measured among adults ≥ 35 years of age (n = 6587) participating in the Bangladesh Demographic and Health Survey (BDHS) 2011. Groundwater chemicals in 3534 well water samples were measured in the British Geological Survey (BGS) and Department of Public Health Engineering (DPHE) 1998–99 survey. We assigned the nearest BGS-DPHE well's chemical exposure to each BDHS participant. We used survey-estimation linear regression methods to model natural log-transformed fasting blood glucose, among those using groundwater as their primary drinking-water source, as a function of groundwater arsenic. We considered possible interactions between categorical arsenic exposure and each of 14 other groundwater chemicals dichotomized at their medians. The chemicals considered as possible effect modifiers included: aluminum, barium, calcium, iron, potassium, lithium, magnesium, manganese, sodium, phosphorous, silicon, sulfate, strontium, and zinc. Compared to persons exposed to groundwater arsenic ≤ 10 μg/L, the adjusted geometric mean ratio (GMR) of fasting blood glucose was 1.01 (95% confidence interval: 0.98, 1.04) for individuals exposed to groundwater arsenic concentrations > 10 μg/L and ≤ 50 μg/L, and was 1.01 (0.97, 1.03) for those with > 50 μg/L arsenic. There were no Bonferroni-significant interactions with other chemicals, after accounting for the large number of chemicals tested as modifiers. In our analysis of groundwater chemistry data from 1998/99 and fasting blood glucose outcomes measured in nearby populations approximately a decade later, there was no overall association of fasting blood glucose with nearby historical groundwater arsenic. This null association was not significantly modified by the historical levels of other groundwater chemicals. These null results are inconclusive regarding shorter-term potential toxicity of arsenic for glucose regulation, if there are differences between the historical concentrations measured in nearby groundwater and the actual drinking water chemical exposures in the population during the etiologically relevant period for more acute phenotypes like fasting blood glucose. Drinking water supply-relevant, longitudinal exposure assessment with less measurement error is needed to more precisely evaluate the joint impacts of drinking water chemicals and establish if there is a sensitive time window for glycemic outcomes.
Shadassa Ourshalimian; Abu Mohd Naser; Mahbubur Rahman; Solaiman Doza; Jennifer Stowell; K.M. Venkat Narayan; Mohammad Shamsudduha; Matthew O. Gribble. Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh. Environmental Research 2018, 172, 249 -257.
AMA StyleShadassa Ourshalimian, Abu Mohd Naser, Mahbubur Rahman, Solaiman Doza, Jennifer Stowell, K.M. Venkat Narayan, Mohammad Shamsudduha, Matthew O. Gribble. Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh. Environmental Research. 2018; 172 ():249-257.
Chicago/Turabian StyleShadassa Ourshalimian; Abu Mohd Naser; Mahbubur Rahman; Solaiman Doza; Jennifer Stowell; K.M. Venkat Narayan; Mohammad Shamsudduha; Matthew O. Gribble. 2018. "Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh." Environmental Research 172, no. : 249-257.
Bangladesh is highly disaster-prone, with drought being a major hazard which significantly impacts water, food, health, livelihoods, and migration. In seeking to reduce drought vulnerabilities and impacts while improving responses, existing literature pays limited attention to community-level views and actions. This paper aims to contribute to filling in this gap by examining how an indigenous group, the Santal in Bangladesh’s northwest, responds to drought through local strategies related to water, food, and migration which in turn impact health and livelihoods. A combination of quantitative data through a household survey and qualitative data through participatory rural appraisal is used. The results suggest that the Santal people have developed and applied varied mechanisms for themselves to respond to drought. The categories of responses found are water collection and storage, crop and livestock selection, and migration. These responses might not be enough to deal with continuing droughts, yielding lessons for Bangladesh and beyond.
Bayes Ahmed; Ilan Kelman; Kamruzzaman; Hossain Mohiuddin; Mostafizur Rahman; Anutosh Das; Maureen Fordham; Mohammad Shamsudduha. Indigenous people’s responses to drought in northwest Bangladesh. Environmental Development 2018, 29, 55 -66.
AMA StyleBayes Ahmed, Ilan Kelman, Kamruzzaman, Hossain Mohiuddin, Mostafizur Rahman, Anutosh Das, Maureen Fordham, Mohammad Shamsudduha. Indigenous people’s responses to drought in northwest Bangladesh. Environmental Development. 2018; 29 ():55-66.
Chicago/Turabian StyleBayes Ahmed; Ilan Kelman; Kamruzzaman; Hossain Mohiuddin; Mostafizur Rahman; Anutosh Das; Maureen Fordham; Mohammad Shamsudduha. 2018. "Indigenous people’s responses to drought in northwest Bangladesh." Environmental Development 29, no. : 55-66.
The impact of climate variability on groundwater storage has received limited attention despite widespread dependence on groundwater as a resource for drinking water, agriculture and industry. Here, we assess the climate anomalies that occurred over Southern Africa (SA) and East Africa, south of the equator (EASE), during the major El Niño event of 2015–16, and their associated impacts on groundwater storage, across scales, through analysis of in situ groundwater piezometry and GRACE satellite data. At the continental scale, the El Niño of 2015–16 was associated with a pronounced dipole of opposing rainfall anomalies over EASE and Southern Africa, north/south of ~12° S, a characteristic pattern of ENSO. Over Southern Africa the most intense drought event in the historical record occurred, based on an analysis of the cross-scale areal intensity of surface water balance anomalies (as represented by the Standardised Precipitation-Evapotranspiration Index, SPEI), with an estimated return period of at least 200 years and a best estimate of 260 years. Climate risks are changing and we estimate that anthropogenic warming only (ignoring changes to other climate variables e.g. precipitation) has approximately doubled the risk of such an extreme SPEI drought event. These surface water balance deficits suppressed groundwater recharge, leading to a substantial groundwater storage decline indicated by both GRACE satellite and piezometric data in the Limpopo basin. Conversely, over EASE during the 2015–16 El Niño event, anomalously wet conditions were observed with an estimated return period of ~10 years, likely moderated by the absence of a strongly positive Indian Ocean Zonal Mode phase. The strong but not extreme rainy season increased groundwater storage as shown by satellite GRACE data and rising groundwater levels observed at a site in central Tanzania. We note substantial uncertainties in separating groundwater from total water storage in GRACE data and show that consistency between GRACE and piezometric estimates of groundwater storage is apparent when spatial averaging scales are comparable. These results have implications for sustainable and climate-resilient groundwater resource management, including the potential for adaptive strategies, such as managed aquifer recharge during episodic recharge events.
Seshagiri Rao Kolusu; Mohammad Shamsudduha; Martin C. Todd; Richard G. Taylor; David Seddon; Japhet J. Kashaigili; Girma Y. Ebrahim; Mark O. Cuthbert; James P. R. Sorensen; Karen G. Villholth; Alan M. Macdonald; David A. MacLeod. The El Niño event of 2015–16: Climate anomalies and their impact on groundwater resources in East and Southern Africa. 2018, 2018, 1 -26.
AMA StyleSeshagiri Rao Kolusu, Mohammad Shamsudduha, Martin C. Todd, Richard G. Taylor, David Seddon, Japhet J. Kashaigili, Girma Y. Ebrahim, Mark O. Cuthbert, James P. R. Sorensen, Karen G. Villholth, Alan M. Macdonald, David A. MacLeod. The El Niño event of 2015–16: Climate anomalies and their impact on groundwater resources in East and Southern Africa. . 2018; 2018 ():1-26.
Chicago/Turabian StyleSeshagiri Rao Kolusu; Mohammad Shamsudduha; Martin C. Todd; Richard G. Taylor; David Seddon; Japhet J. Kashaigili; Girma Y. Ebrahim; Mark O. Cuthbert; James P. R. Sorensen; Karen G. Villholth; Alan M. Macdonald; David A. MacLeod. 2018. "The El Niño event of 2015–16: Climate anomalies and their impact on groundwater resources in East and Southern Africa." 2018, no. : 1-26.
Seshagiri Rao Kolusu; Mohammad Shamsudduha; Martin C. Todd; Richard G. Taylor; David Seddon; Japhet J. Kashaigili; Girma Y. Ebrahim; Mark O. Cuthbert; James P. R. Sorensen; Karen G. Villholth; Alan M. Macdonald; Dave A. MacLeod. Supplementary material to "The El Niño event of 2015–16: Climate anomalies and their impact on groundwater resources in East and Southern Africa". 2018, 1 .
AMA StyleSeshagiri Rao Kolusu, Mohammad Shamsudduha, Martin C. Todd, Richard G. Taylor, David Seddon, Japhet J. Kashaigili, Girma Y. Ebrahim, Mark O. Cuthbert, James P. R. Sorensen, Karen G. Villholth, Alan M. Macdonald, Dave A. MacLeod. Supplementary material to "The El Niño event of 2015–16: Climate anomalies and their impact on groundwater resources in East and Southern Africa". . 2018; ():1.
Chicago/Turabian StyleSeshagiri Rao Kolusu; Mohammad Shamsudduha; Martin C. Todd; Richard G. Taylor; David Seddon; Japhet J. Kashaigili; Girma Y. Ebrahim; Mark O. Cuthbert; James P. R. Sorensen; Karen G. Villholth; Alan M. Macdonald; Dave A. MacLeod. 2018. "Supplementary material to "The El Niño event of 2015–16: Climate anomalies and their impact on groundwater resources in East and Southern Africa"." , no. : 1.