Stochastic reliability-based risk evaluation and mapping for watershed systems and sustainability (STREAMS)

JOURNAL OF HYDROLOGY

卷:596

Article

Teklitz, Allen¹  Nietch, Christopher²  Whiteaker, Timothy³  Riasi, M. Sadegh¹  Maidment, David R.³  Yeghiazarian, Lilit¹ 

[1] Univ Cincinnati, Dept Chem & Environm Engn, Cincinnati, OH 45221 USA

[2] US EPA, 26 West Martin Luther King Dr, Cincinnati, OH 45268 USA

[3] Univ Texas Austin, Ctr Res Water Resources, Austin, TX 78712 USA

关键词: Risk assessment;    GIS;    Watershed management;    Probabilistic modeling;    Watershed modeling;   

DOI  :  10.1016/j.jhydrol.2021.126030

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free