Researchers investigate the potential of low-input farming systems to benefit both farmers and the environment

A fuzzy logic approach to analyzing water quality could help reduce the number of people in the developing world forced to drink polluted and diseased water for survival.

Water nurtures life in all its forms, but not all water in our life systems is equal. Water in a lake, in the sea or in a cup of tea is different from the water in our bodies. This much we do know. Yet science does not yet have a complete understanding as to why intracellular water is different to other water forms.

If projected increases in the use of corn for ethanol production occur, the harm to water quality could be considerable, and water supply problems at the regional and local levels could also arise, says a new report from the National Research Council.

Using data from instruments aboard NASA satellites, Zhiqiang Chen and colleagues at the University of South Florida in St. Petersburg, found that they can monitor water quality almost daily, rather than monthly. Such information has direct application for resource managers devising restoration plans for coastal water ecosystems and federal and state regulators in charge of defining water quality standards.

Excess nitrogen caused by fertilizers, animal waste, leaf litter, sewer lines, and highways is responsible for contaminating groundwater. It can also cause human health risks when found in drinking water and oxygen depleted water bodies endangering animals that drink from them.

A new University of Georgia study finds that sewage-contaminated groundwater is reaching the offshore reefs of the Upper Florida Keys, possibly threatening corals and human health.

It may sound counterintuitive to use a microbial protein to improve water quality.

Scientists at the University of Liverpool are working with Ghanaian villagers and scientists to improve water quality and wildlife stocks