The global number of dam constructions has increased dramatically over the past six decades and is forecast to continue to rise, particularly in less industrialized regions. Identifying development pathways that can deliver the benefits of new infrastructure while also maintaining healthy and productive river systems is a great challenge that requires understanding the multifaceted impacts of dams at a range of scales.

The Ganges–Brahmaputra river delta, with 170 million people and a vast, low-lying coastal plain, is perceived to be at great risk of increased flooding and submergence from sea-level rise. However, human alteration of the landscape can create similar risks to sea-level rise. Here, we report that islands in southwest Bangladesh, enclosed by embankments in the 1960s, have lost 1.0–1.5 m of elevation, whereas the neighbouring Sundarban mangrove forest has remained comparatively stable.

Urbanization likely to impact ground water quality and quantity leading to higher uncertainty and difficulties in management of pollution. Results yielding a good indication but the scenario demands continuous surveillance of waste water disposal from unauthorized discharges from small scale industries in Balanagar, Jeedimetla and Sanathnagar industrial development areas into the Kukatpally nala. It impacts very much on the Hussainsagar lake water. The groundwater flow model has computed groundwater balance for the entire catchment area of Hussainsagar.

Climate change is expected to modify rainfall, temperature and catchment hydrological responses across the world, and adapting to these water-related changes is a pressing challenge. This paper reviews the impact of anthropogenic climate change on water in the UK and looks at projections of future change. The natural variability

The unprecedented floods of 2010 in Pakistan highlighted the necessity of a well-calibrated hydrological model of the Indus upper catchment for a comprehensive flood risk assessment. However, this modelling was an extremely challenging exercise because of the lack of hydrometeorological data, which are difficult to collect due to the geography of the catchment.

This study uses an ensemble of Regional Climate Model (REMO), to simulate and project the climate at local scale in order to investigate the hydrological impact of possible future climate change in White Volta Catchment (West Africa). The results, obtained from the REMO climate model, were compared to the observational datasets for precipitation and temperature for the period 1995-2008.

The separate and combined effects of different drivers of change to water fluxes and resources on land (CWOL) remain difficult to distinguish and largely unknown, particularly at a global scale. Our study analyzes CWOL during the period 1901–2008, based on available hydroclimatic data for up to 859 hydrological basins. We develop a worldwide spectrum of change magnitudes and directions in Budyko space, from which we distinguish climate and landscape drivers of CWOL.