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Determinants of access to improved drinking water and sanitation in India: evidence from India Human Development Survey-II (IHDS)

Abstract Access to improved drinking water and sanitation has been declared a fundamental right by the UN General Assembly. However, around 25 and 50% of the global population lacked access to safely managed drinking water and improved sanitation in 2020, respectively. India, the second most populous country in the world, has around 3.7 and 31% of its population without access to improved drinking water and sanitation, respectively. This paper explores the factors determining a household's access to improved drinking water and sanitation in India, using India Human Development Survey (IHDS) II data. The results indicate that urban households with bigger family sizes, with fewer rooms, married but uneducated household heads, belonging to forward castes, were more likely to have access to improved drinking water. Similarly, households with married female heads, belonging to forward castes, small household sizes, older aged heads with primary education, from Non-EAG (Empowered Action Group) states, located in urban areas, earning higher incomes and having more number of rooms were more likely to have access to improved sanitation. Findings suggest subsidized improved water and sanitation services and an increase in public investment to make these facilities affordable for poor rural households

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Household level wastewater management and disposal data collection in the U.S.: the history, shortcomings, and future policy implications

Abstract Country-level sanitation access is monitored globally by the Joint Monitoring Programme (JMP). However, recent reports on sanitation access in high-income countries indicate that the JMP data may underestimate the prevalence of unsafely managed sanitation in these settings. This study explains the surveys that collect household-level wastewater management data in the U.S. and analyzes the accuracy and reliability of these data sets. From 1940 to 1990, sewage disposal data were collected comprehensively through the U.S. Decennial Census. These data are currently collected through the American Housing Survey (AHS) which appears to greatly underestimate the usage of onsite wastewater treatment systems (OWTS). In addition to these surveys, we highlight current efforts to introduce a sewage disposal question to the American Community Survey (ACS), localized efforts to collect wastewater data, and the Point-in-Time count of people experiencing homelessness. Using estimates of OWTS usage in new housing, this study provides the first defensible national estimate of OWTS usage since 1990. We estimate that 25.03% of U.S. households use OWTS which exceeds the AHS estimate (15.7%) by over 12 million households. This study discusses the potential for better wastewater data collection to inform future wastewater policy and improve the quality of life for U.S. residents.

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Water resource optimization bi-level coupling model and carrying capacity of a typical plateau basin based on interval uncertainty stochastic programming

Abstract The bi-level programming coupling model of uncertainty constraints and interval parameter programming is developed to optimize the allocation of water resources and conduct a comprehensive analysis of water resource carrying capacity. The model uses an uncertainty credibility number set and interval value to deal with uncertain factors, and analyses the water resources allocation of Longchuan River in central Yunnan. The competition mechanism and polynomial variation improved algorithm are used to analyze the water consumption, economic benefits and satisfaction in different planning periods when λ = 0.7, 0.8, 0.9, 1.0. The results show that the uncertain bi-level coupling model can cause changes in water allocation, pollutant discharge, system efficiency, etc., and can also effectively balance the mutual constraints between economic benefits and environmental pollution discharge, ensuring a good development trend in the planning year. The water diversion from other basins such as the Central Yunnan Water Diversion Project was transferred to Longchuan River Basin to increase the water supply, and the carrying capacity was further improved, with an increase of water resources by 25.9%. The model research has certain practical and strategic significance for maintaining the sustainable development of the ecological environment in the Longchuan River Basin

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Evaluating water policies under the changing conditions of climatic variables in North Khorasan Province, Iran

Abstract The paper aimed to evaluate the impacts of water pricing and quota policies under changing climatic conditions on the major production factors using economic-biophysical modeling. The data were collected by 382 questionnaires focusing on wheat, barley, cotton, alfalfa, and sugar beet crops in the 2017–2018 cropping year in North Khorasan Province, Iran. Climate change scenarios were defined as wet, moderate, and dry scenarios resulting from precipitation changes. The results showed that climate change scenarios reduce the total irrigated area of crops and total water used. Due to the effect of precipitation on crop yield, dry and moderate climate changes reduce the total gross income, while wet climate changes increase it. The scenarios of quota and pricing policies were then applied under climate change scenarios. The amount of water conserved by applying the quota policy was equal to the quota rate, while the impact of the pricing policy varied depending on the type of climate change. The highest amount of water conserved belonged to the conditions of dry climate change in Atrak and Central Desert catchments, which was about 6.8–8.6 and 3.83–14.48%, respectively. As the climate moves toward drought conditions in this province, the implementation of such policies can partially protect water resources.

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Regional water demand forecasting based on shared socio-economic pathways in the Zhanghe River Basin

Abstract Based on the framework of shared socio-economic pathways, this study predicts future population and economic conditions of the Zhanghe River Basin and combines with the water quota to predict future water demand. First, the localization parameter system is constructed. Furthermore, the water demand is calculated. The results show that (1) under regional competitive pathway, the population is the largest, while under uneven pathway, the population is the smallest. The largest economic forecast is obtained under fossil fuel development pathway, while the smallest economic forecast is obtained under regional competitive pathway. (2) The results for domestic and economic water use in the basin show that the annual water demand shows an increasing trend. Fossil fuel development pathway is the scenario with the highest socio-economic water demand, while regional competitive pathway is the scenario with the least. (3) The Zhanghe River Basin faces a high risk of water resource shortage in the future. Even under the situation of minimum socio-economic water demand, the total water demand is difficult to meet fully. The forecasting framework established in this paper has high application value and can provide a reference for water demand forecasting and prospective water demand management in river basins.

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A field assessment of residential laundry to landscape greywater quality in the San Francisco Bay area

Abstract Potable water scarcity is a global issue. Recent and ongoing droughts in the Western United States make residential water conservation crucial. Several water agencies have invested in conservation programs that educate residents on non-traditional water sources, such as laundry-to-landscape (L2L) greywater systems, which reuse washing machine water for outdoor irrigation. This study analyzed landscape vegetation and 21 greywater characteristics of 30 households with L2L systems in Santa Clara County, California. Greywater from most residential systems, even ones decades-old and unmaintained, had acceptable reuse values for major water quality parameters tested. Overall, 89% of fecal coliform counts fell within the acceptable range for water reuse, although counts were higher in non-code-compliant systems than in code-compliant L2L systems. The mean values for coliform counts, electrical conductivity, total dissolved solids, total organic carbon, magnesium, sodium, chloride, and sodium adsorption ratio were lower than the means previously reported for L2L systems. Analysis of water samples indicated high levels of iron and calcium, which merits further investigation. Outdoor vegetation appeared diverse and healthy. The promising results here indicate a high potential for expanding L2L programs. Wider system adoption can diversify regional water supply in service areas where the residential sector accounts for significant water use.

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