水文回归期的估计

M. Lefebvre
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引用次数: 0

摘要

提出了一种过滤泊松过程作为河流流动的模型。借助实际数据,对模型参数进行了估计。推导了数学公式,以估计河流的不同回潮期。对两条河流的应用表明,点估计值与水文学家根据历史数据计算的相应值非常接近。此外,通过修改模型中参数的值,我们可以看到气候变化对回归期的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the Return Periods in Hydrology
A filtered Poisson process is proposed as a model for river flows. With the help of real-life data, the model parameters are estimated. Mathematical formulae are derived in order to estimate the various return periods of the river. An application to two rivers shows that the point estimates are very close to the corresponding values computed by hydrologists, based on historical data. Moreover, by modifying the values of the parameters in the model, we can see the potential effects of climate change on the return periods.
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