Related Experiment Video
Updated: Oct 7, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Stochastic reliability-based risk evaluation and mapping for watershed systems and sustainability (STREAMS)
Allen Teklitz1, Christopher Nietch2, Timothy Whiteaker3
1Department of Chemical and Environmental Engineering, University of Cincinnati, OH, USA.
Abstract:
Mitigating water contamination, improving water security, and increasing sustainability involve environmental awareness and conscientious decision-making by denizens and stakeholders. Achieving such awareness requires visually compelling geospatial decision-making tools that take into account the probabilistic and spatially distributed nature of water contamination. Inspired by the success of weather maps, this paper presents a novel STochastic Reliability-based Risk Evaluation And Mapping for watershed Systems and Sustainability (STREAMS) tool that produces and effectively communicates the risk of water contamination as maps. STREAMS is integrated with ArcGIS geoprocessing tools and uses physics-based reliability theory to compute the spatial distribution of risk, which is defined as the probability of exceeding a safety threshold of water contamination within a watershed. A quantitative analysis of the efficacy of mitigation strategies is conducted by estimating risk reduction from best management practices throughout the entire watershed. Two case studies at different spatial scales are presented, demonstrating STREAMS application to watersheds with varied properties.
More Related Videos
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
13:00Modifying the Bank Erosion Hazard Index BEHI Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio
Published on: February 13, 2015
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Hazard Rate
Applications of GIS: Disaster Management and Emergency Response
Typical Model Studies
Design Example: Creating a Hydraulic Model of a Dam Spillway
Quality of Water