Probabilistic flood forecasting considering rainfall uncertainty
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P338

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    Abstract:

    Based on the principle of the rainfall station sampling method, the probability distribution of the true value of areal rainfall was deduced, using the estimated areal rainfall, in order to describe the uncertainty of areal rainfall calculation under the conditions of existing rainfall stations. Then, probabilistic flood forecasting was performed in combination with deterministic prediction models. Application of this method to the Huangnizhuang Basin of the Huaihe River shows that it can obtain estimates of the probability distribution of the true value of areal rainfall for any periods of time in the basin and describe the uncertainty of the areal rainfall calculation. Furthermore, using a hydrologic model(e. g. , the Xinanjiang model)and the Monte-Carlo sampling technique, the probability distribution of the predicted flow rate can be estimated, and probabilistic flood forecasting can be carried out.

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梁忠民,蒋晓蕾,曹炎煦,等.考虑降雨不确定性的洪水概率预报方法[J].河海大学学报(自然科学版),2016,44(1):8-12.(LIANG Zhongmin, JIANG Xiaolei, CAO Yanxu, et al. Probabilistic flood forecasting considering rainfall uncertainty[J]. Journal of Hohai University (Natural Sciences),2016,44(1):8-12.(in Chinese))

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History
  • Received:January 22,2015
  • Revised:
  • Adopted:
  • Online: January 29,2016
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