首页> 外文会议>International Conference on Sustainable Future for Human Security >Effects of selective logging methods on runoff characteristics in paired small headwater catchment
【24h】

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

机译:选择性测井方法对成对小椎间路集水区径流特性的影响

获取原文

摘要

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.
机译:通过森林收获减少植物覆盖物通常会增加金属面积的平均表面径流体积和峰值放电。热带印度尼西亚雨林中的森林采集使用选择性伐木系统进行管理。本研究的目的是寻找受控选择性测井技术对降低径流水文效应的影响。本研究在印度尼西亚中部卡利莫坦坦的天然热带雨林地区进行了三次成对的小型雨水集水区。集水区是控制的不受干扰的集水区。在选择性测井活动中,通过减少影响测井技术进行处理B和C.在集水区B和C中控制的选择性测井活动减少到覆盖的覆盖度为30%的自然覆盖物。作为高表面径流的后果,降低记录流域的水文响应产生了更高的峰值放电。三个集水区中的径流水文参数显示出对降雨事件的相似响应,峰值放电的最高响应是具有最大的开放区域的集水区。集水区A,B和C中直接径流比的平均值为31.35%; 46.12%和44.83%。减少影响测井技术的实现是有效地控制测井对径流响应的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号