首页> 外文会议>HydroVision 2008 conference technical papers >Development of Runoff Model Considering the Evapotranspiration Process in Forest Basins
【24h】

Development of Runoff Model Considering the Evapotranspiration Process in Forest Basins

机译:考虑流域蒸散过程的径流模型开发

获取原文
获取原文并翻译 | 示例

摘要

We have developed a model to be applied to runoff analyses and flood prediction forrndam basins. Taking the evapotranspiration process into consideration, we apply thernsnow melt theory to distinguish snowmelt from rainwater. Meteorological data isrncalculated from observed data provided by the Japan Meteorological Agency. Thernmodel is composed of three steps including the surface, the unsaturated layer and thernunderground layer. Heat flux is computed except for underground water. The model canrnpredict snowmelt by a long-term runoff analysis for regions subject to heavy rainfall.rnThis model was developed to predict discharge at dam basins for hydro-electric powerrnstations. Since most hydro-electric power stations in Japan are located in heavily treedrnmountainous regions, the ability to estimate the amount of evapotranspiration involvingrnforest vegetation is of considerable importance. Two cases were selected for study tornrepresent divergent climate conditions. The 410km~2 Iwaki River basin in the northernrnsnow region of Aomori Prefecture and the 510km~2 Kuma River basin in the heavy rainrnregion of Kumamoto Prefecture in western Japan. Calculations were performed torndetermine the amount of evapotranspiration in wooded basins by age, season and treerntype. Changes in discharge were explained by numerical experiments in cases involvingrngreater changes in leaf volume rise of temperature.
机译:我们已经开发了一个模型,可用于径流分析和洪水预报流域。考虑到蒸散过程,我们运用融雪理论将融雪与雨水区分开。气象数据是根据日本气象厅提供的观测数据计算得出的。模型由表面,不饱和层和地下三层组成。除地下水外,均计算热通量。该模型可以通过对长期降雨的地区进行长期径流分析来预测融雪。rn该模型用于预测水力发电站坝区的流量。由于日本大多数水力发电站都位于树木繁茂的山地地区,因此估算涉及森林植被的蒸散量的能力非常重要。选择了两个案例以研究代表不同气候条件的案例。日本西部的熊本县大雪地区的青森县北部雪域的410km〜2岩城河流域和510km〜2的熊马河流域。进行了计算以确定树木的年龄,季节和树木类型的蒸散量。通过数值实验解释了涉及叶片温度升高叶片体积变化的情况下的排放变化。

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