論文

査読有り
2013年

Effects of selective logging methods on runoff characteristics in paired small headwater catchment

3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE FUTURE FOR HUMAN SECURITY, SUSTAIN 2012
  • Hatma Suryatmojo
  • ,
  • Fujimoto Masamitsu
  • ,
  • Ken'ichiro Kosugi
  • ,
  • Takahisa Mizuyama

17
開始ページ
221
終了ページ
229
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1016/j.proenv.2013.02.032
出版者・発行元
ELSEVIER SCIENCE BV

Reduction of vegetative cover by forest harvesting generally increases the average surface runoff volume and peak discharge for a given area of land. Forest harvesting in tropical Indonesian rainforest is managed using a selective logging system. The purpose of this study is to find the effect of controlled selective logging technique to reduce the hydrological effect on runoff. This study was conducted in three paired small headwater catchments in natural tropical rainforest area of Central Kalimantan, Indonesia. Catchment A was an undisturbed catchment for control. Catchment B and C were treated with reduce impact logging technique in selective logging activities. Controlled selective logging activities in the catchment B and C reduced canopy cover to 30% of natural cover. Discharging hydrograph response in the logged catchment produced higher peak discharge as consequences of high surface runoff. The runoff hydrograph parameter in the three catchments showed similar response to rainfall event, and the highest response of peak discharge was in the catchment B which had largest opened area. The average of direct runoff ratio in the catchment A, B and C were 31.35%; 46.12% and 44.83%, respectively. Implementation of reduce impact logging technique was effective to control the impact of logging on the runoff responses. (C) 2013 The Authors. Published by Elsevier B.V.

リンク情報
DOI
https://doi.org/10.1016/j.proenv.2013.02.032
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000360700100028&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.proenv.2013.02.032
  • ISSN : 1878-0296
  • Web of Science ID : WOS:000360700100028

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