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Worldwide, >2 billion people (~1/3 world population), mostly living in economically stressed areas of Africa and South Asia, still do not have access to basic sanitation, and ~1 billion still practice open defecation. Water pollution due to open defecation may primarily be linked to economy, and other factors such as social and hygiene practices, land use and hydrogeological parameters could also have sufficient influence. The present study describes the effect of human development index (HDI, 2001–2015) and economic development (NL, 1992–2013) on groundwater microbial pollution (FC, 2002–2017) across India. Economic development pattern suggested discernable inverse relationship with FC in most areas, although areas with inferior water quality, improper human practices were found to outweigh economic development. Vulnerability modelling, using these data, along with measured FC in groundwater-sourced drinking water locations (n = 235) demonstrated the heterogeneity of FC distribution potential in areas of homogenous economy, social practices, and land use. High-resolution numerical modelling of the advective transport of the hypothetical FC particles in the aquifers, suggest up to ~24 times faster movement of pollutants under irrigation-induced pumping regimes. Hence, the results of our study highlight and quantify the potential pitfalls that are possible hindrance for achieving the United Nations sustainable development goal, despite social and economic development, across the spatial scales. [ABSTRACT FROM AUTHOR]

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Agriculture-sourced, non-point groundwater contamination (e.g., nitrate) is a serious concern from the drinking water crisis aspect across the agrarian world. India is one of the largest consumers of nitrogen fertilizers in South-Asia as well as in the world but groundwater nitrate lacks critical attention as a wide-scale drinking water pollutant in the country. Our study provides the first documentation of the distribution of groundwater nitrate and the extent of elevated nitrate contamination across India, along with the delineation of the temporal trends and the natural and anthropogenic factors that influence such occurrence of groundwater nitrate. High resolution, annual-scale spatio-temporal variability of groundwater nitrate concentration and consequent contamination was delineated using groundwater nitrate measurements from ~3 million drinking water wells spread across 7038 administrative blocks between 2010 and 2017 in India. An average 8% of the studied blocks were found affected by elevated groundwater nitrate (> 45 mg/L). Depth-dependent trend demonstrated that nitrate concentrations were about 14% higher in shallow water wells (≤ 35 m) than deep wells (>35 m). The overall temporal trend of groundwater nitrate concentration was decreasing slightly nationwide in the study period. The correlation tests and causality test results indicated that the spatial distribution of groundwater nitrate was significantly associated with agricultural N-fertilizer usage, whereas the decreasing temporal trend corresponded with the overall reduced N-fertilizer usage during the study period. Spatial autocorrelation analysis identified the clustering of high nitrate areas in central, north, and southern India, specifically in areas with higher fertilizer usage. We estimate about 71 million Indians possibly exposed to elevated groundwater nitrate concentrations and the majority of them reside in rural areas. Thus, this study provides the previously unrecognized, wide-scale, anthropogenic, diffused groundwater nitrate contamination across India. [Display omitted] • Groundwater nitrate pollution is delineated using ~3 million drinking-water wells. • Spatio-temporal trends of groundwater nitrate are analyzed for 2010–2017 in India. • Depth-dependence of groundwater nitrate concentration in the aquifer is delineated. • Rural and urban population exposed to groundwater nitrate pollution is estimated. [ABSTRACT FROM AUTHOR]

The arsenic occurrence in groundwater and the associated health impacts has been a global issue for the last few decades. Chronic exposure to arsenic can cause skin lesions, obstructive pulmonary disease, black-foot disease, etc., and even lead to cancer in various body organs. This paper presents a comprehensive overview of the sources, occurrence, exposure routes, health effects of arsenic, and its removal techniques. The recent research on arsenic removal has been highlighted with a special emphasis on field-scale treatment processes. The global arsenic mapping revealed that regional geological formation in different river basins influences the scattered arsenic distribution worldwide. The treatment methods are extensively explored in research with the development of numerous techniques, such as adsorption, ion-exchange, membrane technology, etc. However, the field scale applicability of these technologies is affected due to their technical feasibility in a large-scale application, sludge management, secondary pollution, and financial constraints. LCA can be used as an effective decision tool for evaluating the applicability and practical solutions for various treatment methods. In this paper, the sustainability framework for various technologies concerning field-scale arsenic removal has been assessed. It was observed that adsorption has shown good sustainability in many aspects, whereas high performance and low financial sustainability is associated with the membrane process. The present review catalyzes the multifaceted aspects of arsenic research and also provide guidelines to the field-based sustainable arsenic removal technologies, which in turn bring forth pragmatic solutions for the policymakers and engineers. [Display omitted] • Global map of arsenic in groundwater exhibited scattered arsenic predominance. • Effect of chronic arsenic exposure varies from skin lesion to cancer in organs. • Ingestion through drinking is the major exposure pathway. • A framework for sustainability assessment was proposed for technology selection. • Low arsenic standard, sludge handling are key issues in field-scale arsenic removal. [ABSTRACT FROM AUTHOR]

Globally, ~1 billion people, mostly residing in Africa and South Asia (e.g. India), still lack access to clean drinking water and sanitation. Resulting, unsafe disposal of fecal waste from open-defecation to nearby drinking water sources severely endanger public health. Until recently, India had a huge open-defecating population, leading declining public health from water-borne diseases like diarrhoea by ingesting polluted water, mostly sourced to groundwater. However, in recent past, sanitation development to achieve Sustainable Development Goals (SDGs) has been encouraged throughout India, but their effect to groundwater quality and human health conditions are yet-unquantified. Here, for the first time, using long term, high-spatial resolution measurements (>1.7 million) across India and analyses, we quantified that over the years, groundwater fecal coliform concentration (2002–2017, −2.56 ± 0.06%/year) and acute diarrheal cases (1990–2016, −3.05 ± 0.01%/year) have significantly reduced, potentially influenced by sanitation development (1990–2017, 2.63 ± 0.01%/year). Enhanced alleviation of groundwater quality and human health have been observed since 2014, with initiation of acceletated constructions of sanitation infrastructures through Clean India (Swachh Bharat) Mission. However, the goal of completely faecal-pollution free, clean drinking water is yet to be achieved. We also evaluated the suitability of using satellite-derived night-time light (NLan, 1992–2013, 4.26 ± 0.05%/year) as potential predictor for such economic development. We observed that in more than 80% of the study region, night-time light demonstrated to be a strong predictor for observed changes in groundwater quality, sanitation development and water-borne disease cases. While sanitation and economic development can improve public health, poor education level and improper human practices can strongly influence on water-borne diseases loads and thus health in parts of India. [ABSTRACT FROM AUTHOR]

More than quarter of underprivileged global population, who lack access to basic sanitation and clean drinking water, live in India. Consequently, every year, millions suffer with enteric diseases from drinking faecal-contaminated groundwater. The UN Sustainable Development Goal lists access to safe water and basic sanitation for all by 2030, as their sixth goal. For the first time, the role of economic improvement on decrease in water-borne faecal pathogens was studied across Indo-Ganges–Brahmaputra river basin (IGB) for almost last three decades, to delineate the long-term improvement trends of groundwater quality across India, as a consequence of development. Long-term temporal (1990–2017) and high-resolution spatial (administrative block scale, n = 2217 ) datasets of water-borne faecal pathogen concentration in groundwater and satellite-based nightlight (NL) were used to investigate the statistical trends and causal relationships. Linear and nonlinear (Hodrick–Prescott) trend analyses, panel data analyses, Bayesian vector autoregression (VAR) and lead–lag causality (LLC) analyses were performed on aforesaid culled datasets. However, the efficiency of development in alleviating the water quality and public health, and relationship with economic development, has not been well understood. Here, for the first time, using long-term, high-spatial resolution ( n = 2217 ), annual in-situ measurements and multivariate statistical models, we show that the spatially variable groundwater faecal pathogen concentration (FC, 2002–2017, - 1.39 ± 0.01 %/yr) has been significantly decreased across the basin. In most areas, increasing satellite-based NL plays a significant role (NL , 1992–2013, 3.05 ± 0.01 %/yr) in reduction of FC. However, in areas with low literacy rate surpass development. Enhanced decrease of faecal coliform concentration in groundwater possibly signifies the implementation of Clean India Mission since 2014. [ABSTRACT FROM AUTHOR]