2012年3月
Predicting the dependencies of rainfall-runoff responses on human forest disturbances with soil loss based on the runoff mechanisms in granite and sedimentary rock mountains
HYDROLOGICAL PROCESSES
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- 巻
- 26
- 号
- 6
- 開始ページ
- 809
- 終了ページ
- 826
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1002/hyp.8295
- 出版者・発行元
- WILEY-BLACKWELL
Understanding the effects of severe human induced forest disturbances with soil loss on rainfall-runoff responses is important for future forest management. However, few studies have addressed this issue, which is methodologically difficult compared with the hydrological assessments of the effects of logging. In this study, several small catchments in Japan with different soil and geological conditions were compared using the runoff model HYCYMODEL to reveal their runoff characteristics. The results were then examined on the basis of runoff mechanisms to demonstrate the possible ranges of the effects derived from human disturbances for each geological type. For granite mountains, bare land can be considered the severest case of disturbances leading to high stormflow peaks, although a large baseflow remains because of the water storage fluctuation in weathered bedrock. For sedimentary rock mountains, the severest case may be a forest on the clayey soil without brown forest soil producing flashy runoff characteristics including a large stormflow volume with a sensitive response to the antecedent dryness and a low baseflow rate. Copyright (C) 2011 John Wiley & Sons, Ltd.
- リンク情報
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- DOI
- https://doi.org/10.1002/hyp.8295
- J-GLOBAL
- https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201502895661626190
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000301430200004&DestApp=WOS_CPL
- URL
- http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84858286946&origin=inward
- ID情報
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- DOI : 10.1002/hyp.8295
- ISSN : 1099-1085
- J-Global ID : 201502895661626190
- SCOPUS ID : 84858286946
- Web of Science ID : WOS:000301430200004