<p>Order of the Supreme Court of India in the matter of Jitendra Singh Vs Rameshwar P Gupta & Others dated 21/08/2023.</p> <p>The bench of Justice Surya Kant and Justice Dipankar Datta directed that
New data from WRI’s Aqueduct Water Risk Atlas show that 25 countries — housing one-quarter of the global population — face extremely high water stress each year, regularly using up almost their entire
<p>Twenty-five countries, which house one-quarter of the world's population, are facing extremely high water stress each year, regularly using up almost their entire available water supply. According to this research published by the World Resources Institute, at least 50 per cent of the global population or around four billion people are currently living under highly water-stressed conditions for at least one month of the year.</p>
This technical note serves as the main reference for the updated Aqueduct™️ 4.0 water risk framework. It details the data and methodology used to create 13 indicators of global water risk. Indicators reflect
<p>Report of the Central Ground Water Authority (CGWA) to the National Green Tribunal regarding steps taken by the Metro authorities to stop undue wastage of water in Delhi, Jaipur and Mumbai during construction
This study evaluates the socioecological consequences of the potential trade-offs between maintaining environmental flows (e-flows) and providing water for sustainable subsistence agriculture and livelihoods
This working paper sets out the case that many countries and shared water basins are facing cooperation deficits, outlining cooperation trends and the importance of progress on water cooperation across
This white paper is an earnest endeavour to facilitate a change in the current water management practices in cities that are typically engineering-driven, carried out in ‘silos’, and rely on grey infrastructural
This policy brief, published by T20 India, draws on experience and lessons from G20 and other countries in achieving Target 6.1 of the sustainable development goals (SDGs) — it envisages ways to achieve
This paper introduces a machine learning-based model to forecast reservoir water volumes in India. In areas with high water stress, having access to timely information on forecasted water availability
