論文

査読有り
2008年

Grid size effects on a distributed water quantity-quality model in a hilly watershed

WATER SCIENCE AND TECHNOLOGY
  • Binaya Raj Shivakoti
  • ,
  • Shigeo Fujii
  • ,
  • Suwanna Kitpati Boontanon
  • ,
  • Hirotaka Ihara
  • ,
  • Masashi Moriya
  • ,
  • Shuhei Tanaka

58
9
開始ページ
1829
終了ページ
1836
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.2166/wst.2008.566
出版者・発行元
IWA PUBLISHING

Effects of different grid sizes (50 m, 100 m, 150 m, ..., 500 m) were analyzed for both watershed attributes and estimation by a distributed model for flow rate and water quality. Model was evaluated in terms of estimation differences and on the values of some parameters at different grid sizes. Grid resizing showed significant changes in the physical attributes related with topography, but attributes such as land cover and geology were not much affected. Model showed increasing flow rates estimation with increasing grid size when the same parameter values were used. Such increasing pattern was observed for root mean square error, magnitude of peak runoff points, and time for the peak recession. Observed differences did not show such variation patterns in case of water quality estimation at different grid sizes. The observed differences in the estimated value by the model could have been derived mainly from less number of grids required to travel, increased proportion of channel grids and smaller outlet height at coarser grid sizes. These estimated differences could be adjusted by changing values of some of the model parameters for each grid size within a narrow range.

リンク情報
DOI
https://doi.org/10.2166/wst.2008.566
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200902222301672165
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/19029725
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000261192000017&DestApp=WOS_CPL
ID情報
  • DOI : 10.2166/wst.2008.566
  • ISSN : 0273-1223
  • eISSN : 1996-9732
  • J-Global ID : 200902222301672165
  • PubMed ID : 19029725
  • Web of Science ID : WOS:000261192000017

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