This article examines impacts of infrastructure development and climate variability on economic outcomes for the Amu Darya Basin in Central Asia. It aims to identify the most economically productive mix of expanded reservoir storage for economic benefit sharing to occur, in which economic welfare of all riparians is improved. Policies examined include four combinations of storage infrastructure for each of two climate futures. An empirical optimization model is developed and applied to identify opportunities for improving the welfare of Tajikistan, Uzbekistan, Afghanistan, and Turkmenistan. The analysis 1) characterizes politically constrained and economically optimized water-use patterns for these combinations of expanded reservoir storage capacity, 2) describes Pareto-Improving packages of expanded storage capacity that could raise economic welfare for all four riparians, and accounts for impacts for each of two climate scenarios. Results indicate that a combination of targeted water storage infrastructure and efficient water allocation could produce outcomes for which the discounted net present value of benefits are favorable for each riparian. Results identify a framework to provide economic motivation for all riparians to cooperate through development of water storage infrastructure. Our findings illustrate the principle that development of water infrastructure can expand the negotiation space by which all communities can gain economic benefits in the face of limited water supply. Still, despite our optimistic findings, patient and deliberate negotiation will be required to transform potential improvements into actual gains.

Inorganic arsenic (iAs) in drinking water and food items has been associated with lung and bladder cancers in several countries including Pakistan. In present study water, food items were collected from Arsenic (As) endemic areas (southern part of Pakistan) during 2008–2012, to evaluate its impact on the health of local population. Exposure of As was checked by analyzing biological samples (blood and scalp hairs) of male lung and bladder cancer patients (smokers and non-smokers). For comparative purpose the healthy subjects of same age group and residential area as exposed referents (EXR) and from non-contaminated area (Hyderabad, Pakistan) as non-exposed referents (NER) were also selected. As concentration in drinking water, food and biological samples were analyzed using electrothermal atomic absorption spectrometry. The validation of technique was done by the analysis of certified reference material (CRM) of blood and hair samples. The As contents in drinking water and food were found 3–15-folds elevated than permissible limits, where as in biological samples; EXR have 2–3-folds higher than NER and cancer patients have 5–9-folds higher than NER. The significant difference was observed in smokers (P < 0.01). The outcomes of the study revealed that As levels were elevated in blood and scalp hair samples of both types of cancer subjects as compared to referents (P < 0.001). It was observed that the lung cancer patients (LCP) have 20–35% higher levels of As in both biological samples as compared to bladder cancer patients (BCP) due to smoking habit. This study has proved the correlation among As contaminated water, food and cigarette smoking between different types of cancer risks.