In this Commentary, the increasing risk of pharmaceutical pollution to the world's rivers is discussed. To safeguard clean drinking water, crop irrigation, and biodiversity, the authors call for accellerated global collaboration.
The content concerns models for optimal utilization of groundwater resources
It discussed the fountain scheduling strategies for improving water-use efficiency
This study supports SDG's 9 and 13 through its discussion of the effects of optimizing Municipal Solid Waste management systems by increasing waste collection coverage and implementing diverse streams of waste valorization, causing a decrease of atmospheric pollution.
Studies on the distribution of microplastics in aquatic environments are summarized and environmental and anthropogenic factors affecting microplastic toxicity are reviewed
This study analyses spatial distribution of water reservoirs in the Sota catchment with regards to livestock density, population density, rainfall distribution and geological structure of the Sota catchment, and assessed the state of these reservoirs.
Results of ultrafiltration (UF) and reverse osmosis (RO) pilot plant on-site tests for wastewater reclamation are reported here with 90% and 65% water recovery achieved for UF and RO stages, respectively. RO achieved high quality requirements for industrial reuse supporting SDG 6.
Over 43 million U.S. residents rely on private unregulated wells for their drinking water, raising public health concerns, particularly in regions like northern New England where widespread groundwater arsenic contamination is now recognized. Children are particularly vulnerable to adverse health effects from arsenic exposure.
Nuclear desalination is an important non-electric application of nuclear power and heat, having strong interlinkages and alignment with sustainable development, climate change management (both mitigation and adaptation), and water security.
An examination of the challenges involved in water demand forecasting, with a particular focus on the impact of COVID-19 on the performance of various machine learning models designed for this purpose.
