【24h】

UNCERTAINTY ON A SHORT-TERM FLOOD FORECAST WITH RAINFALL-RUNOFF MODEL

机译:降雨径流模型短期洪水预报的不确定性

获取原文

摘要

Precipitation forecast has been become a useful asset for flood prediction using rainfall-runoff model. An uncertainty that appears on the forecast affects accuracy of flood prediction, added to that is which possessed in the rainfall-runoff model. The case is in Shichikashuku Dam basin in Japan. The precipitation forecast is a product of short range forecast of Japan operational numerical weather prediction based on Mesoscale Model (MSM) and Regional Scale Model (RSM). The rainfall-runoff model based on distributed tank model. This research estimates total uncertainty by quantifying mean error and standard deviation on the precipitation and discharge forecast. The result has shown that the precipitation forecast is more uncertain than discharge's. Uncertainty is significantly increased after twelve hour and draws a common characteristic between both models.
机译:降水预测已成为利用降雨径流模型的洪水预测的有用资产。在预测上出现的不确定性会影响洪水预测的准确性,添加到降雨径流模型中拥有的那样。案件是在日本的Shichikashuku大坝盆地。降水预测是基于Mescle模型(MSM)和区域规模模型(RSM)的日本运行数值天气预报短程预测的产物。基于分布式罐模型的降雨径流模型。该研究通过量化平均误差和降水和放电预测的标准偏差来估计总不确定性。结果表明,降水预测比放电更不确定。十二小时后不确定性显着增加,并在两个模型之间汲取共同的特征。

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