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The effects of spatial discretization on performances and parameters of urban hydrological model
Selecting a proper spatial resolution for urban rainfall runoff modeling was not a trivial issue because it could affect the model outputs. Recently, the development of remote sensing technology and increasingly available data source had enabled rainfall runoff process to be modeled at detailed and...
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Published in: | Water science and technology 2019-08, Vol.80 (3), p.517-528 |
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creator | Chang, Qing Kazama, So Touge, Yoshiya Aita, Shunsuke |
description | Selecting a proper spatial resolution for urban rainfall runoff modeling was not a trivial issue because it could affect the model outputs. Recently, the development of remote sensing technology and increasingly available data source had enabled rainfall runoff process to be modeled at detailed and microscales. However, the models with less complexity might have equally good performance with less model establishment and computation time. This study attempted to explore the impact of model spatial resolution on model performance and parameters. Models with different discretization degree were built up on the basis of actual drainage networks, urban parcels and specific land use. The results showed that there was very little difference in the total runoff volumes while peak flows showed obvious scale effects which could be up to 30%. Generally, model calibration could compensate the scale effect. The calibrated models with different resolution showed similar performances. The consideration of effective impervious area (EIA) as a calibration parameter marginally increased performance of the calibration period but also slightly decreased performance in the validation period which indicated the importance of detailed EIA identification. |
doi_str_mv | 10.2166/wst.2019.296 |
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Recently, the development of remote sensing technology and increasingly available data source had enabled rainfall runoff process to be modeled at detailed and microscales. However, the models with less complexity might have equally good performance with less model establishment and computation time. This study attempted to explore the impact of model spatial resolution on model performance and parameters. Models with different discretization degree were built up on the basis of actual drainage networks, urban parcels and specific land use. The results showed that there was very little difference in the total runoff volumes while peak flows showed obvious scale effects which could be up to 30%. Generally, model calibration could compensate the scale effect. The calibrated models with different resolution showed similar performances. The consideration of effective impervious area (EIA) as a calibration parameter marginally increased performance of the calibration period but also slightly decreased performance in the validation period which indicated the importance of detailed EIA identification.</description><identifier>ISSN: 0273-1223</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2019.296</identifier><identifier>PMID: 31596263</identifier><language>eng</language><publisher>England: IWA Publishing</publisher><subject>Calibration ; Computation ; Discretization ; Drainage patterns ; Floods ; Geographic information systems ; Hydrologic models ; Hydrology ; Land use ; Mathematical models ; Microbalances ; Models, Theoretical ; Packages ; Parameters ; R&D ; Rain ; Rainfall ; Rainfall-runoff relationships ; Remote sensing ; Remote Sensing Technology ; Research & development ; Resolution ; Runoff ; Scale effect ; Software ; Spatial discrimination ; Spatial resolution ; Studies ; Urban runoff ; Water Movements ; Water quality</subject><ispartof>Water science and technology, 2019-08, Vol.80 (3), p.517-528</ispartof><rights>Copyright IWA Publishing Aug 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-7d14e2d4d979d9887fe23c3c1300eec8b64aefb6757f41ac930bf4a895fe86f03</citedby><cites>FETCH-LOGICAL-c357t-7d14e2d4d979d9887fe23c3c1300eec8b64aefb6757f41ac930bf4a895fe86f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31596263$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Qing</creatorcontrib><creatorcontrib>Kazama, So</creatorcontrib><creatorcontrib>Touge, Yoshiya</creatorcontrib><creatorcontrib>Aita, Shunsuke</creatorcontrib><title>The effects of spatial discretization on performances and parameters of urban hydrological model</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>Selecting a proper spatial resolution for urban rainfall runoff modeling was not a trivial issue because it could affect the model outputs. Recently, the development of remote sensing technology and increasingly available data source had enabled rainfall runoff process to be modeled at detailed and microscales. However, the models with less complexity might have equally good performance with less model establishment and computation time. This study attempted to explore the impact of model spatial resolution on model performance and parameters. Models with different discretization degree were built up on the basis of actual drainage networks, urban parcels and specific land use. The results showed that there was very little difference in the total runoff volumes while peak flows showed obvious scale effects which could be up to 30%. Generally, model calibration could compensate the scale effect. The calibrated models with different resolution showed similar performances. The consideration of effective impervious area (EIA) as a calibration parameter marginally increased performance of the calibration period but also slightly decreased performance in the validation period which indicated the importance of detailed EIA identification.</description><subject>Calibration</subject><subject>Computation</subject><subject>Discretization</subject><subject>Drainage patterns</subject><subject>Floods</subject><subject>Geographic information systems</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Land use</subject><subject>Mathematical models</subject><subject>Microbalances</subject><subject>Models, Theoretical</subject><subject>Packages</subject><subject>Parameters</subject><subject>R&D</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall-runoff relationships</subject><subject>Remote sensing</subject><subject>Remote Sensing Technology</subject><subject>Research & 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subjects | Calibration Computation Discretization Drainage patterns Floods Geographic information systems Hydrologic models Hydrology Land use Mathematical models Microbalances Models, Theoretical Packages Parameters R&D Rain Rainfall Rainfall-runoff relationships Remote sensing Remote Sensing Technology Research & development Resolution Runoff Scale effect Software Spatial discrimination Spatial resolution Studies Urban runoff Water Movements Water quality |
title | The effects of spatial discretization on performances and parameters of urban hydrological model |
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