Jump to Main Content
- Hu, R.; Fang, F.; Salinas, P.; Pain, C.C.; Sto.Domingo, N.D.; Mark, O.
- Advances in water resources 2019 v.123 pp. 173-188
- anisotropy; buildings; cities; culverts; equations; floods; hydrodynamics; isotropy; landscapes; mathematical models; porous media; prediction; rain; rivers; sea level; storms; topography; uncertainty; urban areas; Denmark
- ... The coincidence of two or more extreme events (precipitation and storm surge, for example) may lead to severe floods in coastal cities. It is important to develop powerful numerical tools for improved flooding predictions (especially over a wide range of spatial scales - metres to many kilometres) and assessment of joint influence of extreme events. Various numerical models have been developed to ...
- Kang, Peter K.; Bresciani, Etienne; An, Seongnam; Lee, Seunghak
- Advances in water resources 2019 v.123 pp. 1-11
- aquifers; biodegradation; dissolved organic carbon; mathematical models; mixing; prediction; sediments; space and time; uncertainty; South Korea
- ... Biogeochemical reactions take place when reactants are present at the same location and time, which occurs through pore-scale mixing. Although the degree of mixing should be variable in space and time, most conventional reactive transport models do not consider mixing-dependent reaction rates and often make predictions based on rates measured with batch experiments. We quantify the effect of pore- ...