The implications of nature not conforming to statistical assumptions can be devastating; researchers describe why extreme floods may be bigger than we assume.
The new graph convolutional recurrent neural network (GCRNN) will enable water utilities to forecast water use, even if some sensors fail.
Another significant step has been taken in methods for managing water resources in the face of climatic changes and other future uncertainties. Dynamic adaptation is becoming a reality.
Rich people’s aversion to flood risk results in poor people living in the most vulnerable locations poverty. Pro-poor flood risk management policies could have a significant impact on inequality.
Although American water utility companies take time to modify procedures and technologies in response to new quality requirements, ultimately it reduces the rate at which they violate standards.
By systematically turning valves off and on in water distribution networks, researchers can locate pipe leaks, which could help to save huge quantities of drinking water.
A new index insurance contract – a financial product innovation seeking to cope with climatic variability – could help hydropower operators to manage climate risks.
Scientists have devised a way of preserving privacy for smart water metering users while also providing water suppliers with information they can use to improve the efficiency of water services.
Weather forecasting can greatly improve benefits of rainwater harvesting.
Environmental Impact Bonds for financing new water and environmental infrastructure can be properly priced with the help of watershed modelling.