@article{oai:chuo-u.repo.nii.ac.jp:00012398,
 author = {成, 岱蔚 and 山田, 正 and 山田, 朋人},
 journal = {中央大学理工学研究所論文集},
 month = {Mar},
 note = {application/pdf, The rainfall-runoff analysis is an essential topic in hydrology. Generally speaking, it is difficult to directly apply first physical principles in the rainfall-runoff analysis because of the scale of river basin. Thus, simplifying and modeling are necessary. However, modeling also means incomplete information, when it comes to rainfall-runoff analysis, incomplete information means insufficient observation data, simplifying the physical process, and the uncertainty of model parameters. Usually, the best fitting parameter set will be different even in the same river basin. Researchers had done a lot of works to find better modeling structures in order to let the parameters more stable, however, the basic conception of deterministically rainfall-runoff analysis has its limitation.
In this study, the Rainfall-runoff system is considered to be a stochastic system. So, the uncertainty of parameters will be natural of the system in which its effects can be described by the control equations. Stochastic differential equations theory is used in this study. Unlike the traditional deterministic rainfallrunoff analysis, this study gives a result of the probability distribution of runoff. Besides, the present study also suggested a way to deal with complex hydrological models with many parameters.},
 pages = {1--11},
 title = {確率微分方程式を用いたパラメータの不確実性を考慮した降雨流出解析に関する研究},
 volume = {25},
 year = {2020}
}