FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897284603> ?p ?o ?g. }

• W2897284603 endingPage "653" @default.
• W2897284603 startingPage "637" @default.
• W2897284603 abstract "For accurate flash flood forecasting and effective stormwater planning and management in urban areas, it is necessary to model not only the natural channel systems but also the large and complex networks of storm drains. In this work, we describe a modular storm drain model that can easily be coupled with existing gridded distributed hydrologic models for real-time flash flood forecasting, and stormwater planning and management for large urban areas (>100 km2). A salient feature of our approach is the use of the equivalent storm drain network (ESDN) which approximates the actual network on the same grid as that of the distributed hydrologic model, thereby rendering coupling simple and modular. In the integrated model, storm-drain flow occurs through the simplified network coarsened to the resolution of the distributed hydrologic model without full 1D-2D dynamics or very detailed man-made structures and features modeled. The integrated model is applied to a 144.6 km2 area of five urban catchments in the Cities of Arlington and Grand Prairie in Texas, US. Comparisons at selected locations using kinematic-wave flow simulations show that the ESDN approximates the flow through the original network very well with attendant savings in computational amount and reduction in modeling complexities. The impact of the storm drain network is assessed via a combination of simulation experiments, sensitivity analysis and limited comparison with observed flow. It is shown that the storm drain network in highly urbanized catchments in the study area is very effective in reducing surface flow at most locations for about 30 min following onset of significant rainfall, that the existing stormwater infrastructure would lose effectiveness for approximately 30% of the study area with a 15% increase in imperviousness relative to the current conditions, and that significant uncertainties exist in partitioning of surface flow into storm drain and natural channel flows due to sensitivity to inlet flow modeling. With greatly reduced computing cost and modeling complexity, the proposed approach offers a practical solution for integrated stormwater modeling for large urban areas for a wide range of applications. The proposed approach cannot, however, resolve flow at sub-grid scales and hence is not appropriate for very detailed modeling for small areas." @default.
• W2897284603 created "2018-10-26" @default.
• W2897284603 creator A5022613986 @default.
• W2897284603 creator A5042943987 @default.
• W2897284603 date "2018-12-01" @default.
• W2897284603 modified "2023-10-18" @default.
• W2897284603 title "Simple and modular integrated modeling of storm drain network with gridded distributed hydrologic model via grid-rendering of storm drains for large urban areas" @default.
• W2897284603 cites W1164598685 @default.
• W2897284603 cites W1650785073 @default.
• W2897284603 cites W1694119402 @default.
• W2897284603 cites W1862386067 @default.
• W2897284603 cites W1966916217 @default.
• W2897284603 cites W1974756800 @default.
• W2897284603 cites W1984698441 @default.
• W2897284603 cites W1986759396 @default.
• W2897284603 cites W1992178461 @default.
• W2897284603 cites W2003288734 @default.
• W2897284603 cites W2003533925 @default.
• W2897284603 cites W2005750142 @default.
• W2897284603 cites W2006091557 @default.
• W2897284603 cites W2006794107 @default.
• W2897284603 cites W2009319975 @default.
• W2897284603 cites W2016107349 @default.
• W2897284603 cites W2042845991 @default.
• W2897284603 cites W2044939104 @default.
• W2897284603 cites W2045492111 @default.
• W2897284603 cites W2081123306 @default.
• W2897284603 cites W2086059700 @default.
• W2897284603 cites W2112084830 @default.
• W2897284603 cites W2136938188 @default.
• W2897284603 cites W2144080921 @default.
• W2897284603 cites W2147048872 @default.
• W2897284603 cites W2149632440 @default.
• W2897284603 cites W2150960759 @default.
• W2897284603 cites W2151545251 @default.
• W2897284603 cites W2161007207 @default.
• W2897284603 cites W2164595960 @default.
• W2897284603 cites W2276060531 @default.
• W2897284603 cites W2307140105 @default.
• W2897284603 cites W2330509786 @default.
• W2897284603 cites W2407981239 @default.
• W2897284603 cites W2553261512 @default.
• W2897284603 cites W2789559247 @default.
• W2897284603 cites W826107099 @default.
• W2897284603 doi "https://doi.org/10.1016/j.jhydrol.2018.10.037" @default.
• W2897284603 hasPublicationYear "2018" @default.
• W2897284603 type Work @default.
• W2897284603 sameAs 2897284603 @default.
• W2897284603 citedByCount "13" @default.
• W2897284603 countsByYear W28972846032019 @default.
• W2897284603 countsByYear W28972846032020 @default.
• W2897284603 countsByYear W28972846032021 @default.
• W2897284603 countsByYear W28972846032022 @default.
• W2897284603 countsByYear W28972846032023 @default.
• W2897284603 crossrefType "journal-article" @default.
• W2897284603 hasAuthorship W2897284603A5022613986 @default.
• W2897284603 hasAuthorship W2897284603A5042943987 @default.
• W2897284603 hasBestOaLocation W28972846031 @default.
• W2897284603 hasConcept C101468663 @default.
• W2897284603 hasConcept C105306849 @default.
• W2897284603 hasConcept C111919701 @default.
• W2897284603 hasConcept C120417685 @default.
• W2897284603 hasConcept C126197015 @default.
• W2897284603 hasConcept C127313418 @default.
• W2897284603 hasConcept C13280743 @default.
• W2897284603 hasConcept C153294291 @default.
• W2897284603 hasConcept C166957645 @default.
• W2897284603 hasConcept C173051318 @default.
• W2897284603 hasConcept C187320778 @default.
• W2897284603 hasConcept C187691185 @default.
• W2897284603 hasConcept C18903297 @default.
• W2897284603 hasConcept C205649164 @default.
• W2897284603 hasConcept C39432304 @default.
• W2897284603 hasConcept C41008148 @default.
• W2897284603 hasConcept C49204034 @default.
• W2897284603 hasConcept C50477045 @default.
• W2897284603 hasConcept C74256435 @default.
• W2897284603 hasConcept C76886044 @default.
• W2897284603 hasConcept C86803240 @default.
• W2897284603 hasConceptScore W2897284603C101468663 @default.
• W2897284603 hasConceptScore W2897284603C105306849 @default.
• W2897284603 hasConceptScore W2897284603C111919701 @default.
• W2897284603 hasConceptScore W2897284603C120417685 @default.
• W2897284603 hasConceptScore W2897284603C126197015 @default.
• W2897284603 hasConceptScore W2897284603C127313418 @default.
• W2897284603 hasConceptScore W2897284603C13280743 @default.
• W2897284603 hasConceptScore W2897284603C153294291 @default.
• W2897284603 hasConceptScore W2897284603C166957645 @default.
• W2897284603 hasConceptScore W2897284603C173051318 @default.
• W2897284603 hasConceptScore W2897284603C187320778 @default.
• W2897284603 hasConceptScore W2897284603C187691185 @default.
• W2897284603 hasConceptScore W2897284603C18903297 @default.
• W2897284603 hasConceptScore W2897284603C205649164 @default.
• W2897284603 hasConceptScore W2897284603C39432304 @default.
• W2897284603 hasConceptScore W2897284603C41008148 @default.
• W2897284603 hasConceptScore W2897284603C49204034 @default.
• W2897284603 hasConceptScore W2897284603C50477045 @default.
• W2897284603 hasConceptScore W2897284603C74256435 @default.

• next