Featured collection introduction: Water resources planning and management under changing conditions—Experience of Illinois

Pioneering work by John Stall on hydraulic geometries of streams and rivers was completed in the 1960s Water Atmospheric Research Monitoring (WARM) program at ISWS expanded data collection to define environmental socio-economic impacts weather climate impacts, including: The ISWS, along with Illinois Natural History Survey (est. 1861) State Geological 1905), were transferred out University 1917 be administered Department Registration Education, eventually being Energy Resources then a new Resources. In 2008, Scientific Surveys came home where it all started, Illinois, under umbrella Prairie Institute addition Sustainability Technology Center Archeological Survey. Together, has over 800 scientists, technicians, post-docs, research affiliates, visiting scholars, students, administrative support staff, conducting transformative science that benefits people, economy, environment nation, world. From their inception, have always been located campus continues capitalize mutual collaboration faculty staff. papers presented this special issue marking 125th anniversary founding are but representation current contributions conducted scientists colleagues, aiming demonstrate what experiences water resources planning management changing conditions, especially climate. They build supply legacy incorporating future demands uncertainties including major updating precipitation frequency standards. theme understanding bias evaluating groundwater static head measurements understand water-level variability. Of course, projecting change is paramount many resource issues authors discuss which ensemble approaches produce less uncertain model outputs. Nutrient losses US agricultural lands an not only for loss crop production downstream impacts. Winter cover crops much promise reducing nitrate, phosphorus, sediment loads. Authors present possible detrimental storage volumes reservoirs drought years. An River watershed analysis presents evidence spatial temporal shift phosphorus loading affects recent increases despite point nonpoint source efforts. long-term datasets contributed improved calibration capture chloride accumulation shallow aquifers. Reservoirs serve populations industry so outflows from them important management. Comparing performance three machine learning models shows simulating reservoir outflow. Finally, colleagues China test theoretical framework better bivariate return periods hydrological events, design criteria structures. evolve adjust needs, as demonstrated first 125 years, look forward providing science-based information societies next For further reading history, following publications recommended: