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pro vyhledávání: '"Zarekarizi, Mahkameh"'
Autor:
Roop-Eckart, K. J., Sharma, Sanjib, Zarekarizi, Mahkameh, Lee, Ben Seiyon, Spence, Caitlin, Russo, Tess, Keller, Klaus
Statistical flood frequency analysis coupled with hydrograph scaling is commonly used to generate design floods to assess dam safety assessment. The safety assessments can be highly sensitive to the choice of the statistical flood frequency model. St
Externí odkaz:
http://arxiv.org/abs/2111.02610
Understanding flood probabilities is essential to making sound decisions about flood-risk management. Many people rely on flood probability maps to inform decisions about purchasing flood insurance, buying or selling real-estate, flood-proofing a hou
Externí odkaz:
http://arxiv.org/abs/2012.10590
Homeowners around the world elevate houses to manage flood risks. Deciding how high to elevate a house poses a nontrivial decision problem. The U.S. Federal Emergency Management Agency (FEMA) recommends elevating existing houses to the Base Flood Ele
Externí odkaz:
http://arxiv.org/abs/2001.06457
Publikováno v:
In Remote Sensing of Environment October 2018 216:456-471
Publikováno v:
In Journal of Hydrology May 2017 548:291-304
Autor:
Zarekarizi, Mahkameh
Publikováno v:
Dissertations and Theses.
The National Water Center (NWC) started using the National Water Model (NWM) in 2016. The NWM delivers state-of-the-science hydrologic forecasts in the nation. The NWM aims at operationally forecasting streamflow in more than 2,000,000 river reaches
Publikováno v:
Climate Dynamics. Jun2018, Vol. 50 Issue 11/12, p4519-4537. 19p.
Akademický článek
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Publikováno v:
Remote Sensing of Hydrological Extremes; 2017, p121-149, 29p