Hydrological hazards are enormous risks for communities. A Multi-Hazard Tournament (MHT) allows members of a watershed community to evaluate adaptation options to develop mitigation strategies for multiple water-related hazards such as floods, drought, and water pollution. Hazard risk assessment and minimization of water quality issues and water resources are all parts of the plan.
Steady and unsteady streamflows are monitored through combining direct flow measurements and statistical analyses. Flow variables displaying inherent hysteretic behavior is indicative of non-kinematic waves passing through the gauging station. The paper demonstrates the index-velocity and continuous slope-area methods are more suitable to monitor unsteady flows in comparison with the widely used stage-discharge approach.
The authors of the case study discuss an economically feasible approach to generate synthetic rating curves that enhance utility of stage-only river gauges. There are 250 bridge-mounted river-stage sensors deployed by IFC in Iowa. Those sensors, in concert with USGS and other related sensor data, are used to determine discharge and other errors or triumphs of the measurement system.
In this study, the authors investigate the hydrologic impact of wind farm clutter in the Multi‐Radar Multi‐Sensor (MRMS) rainfall products. The study uses the probability of detection (POD) method to identify wind farm clutter in data from Iowa for the years 2016 and 2017.
The authors used 16 years of river measurements to explore persistence in streamﬂow forecasting based on the real-time streamﬂow observations.
The authors characterize the dynamics associated with streamflow time-series data from 64 U.S. Geological Survey (USGS) unregulated stream-gauge stations in the state of Iowa. They employ a novel approach called visibility graph (VG) that uses the concept of mapping time series into complex networks to investigate the time evolutionary behavior of dynamical systems.