水文循環モデルのスケールアップ・ダウンと水資源システムへの応用

地形、蒸散量和降水量的分布是水文过程尺度变化的关键字。另一方面，随机方法也是非常重要的，因为没有随机概念来讨论同一尺度上的过程之间的关系，不能说明不同尺度之间的关系。此外，现在，关于降水分布的随机结构的信息，水位和流量对于防洪和水资源规划是不可缺少的。本程序在上述观点下始终如一地遵循以下主题：1)基于网格的集总建立宏观水文模型；2)建立基于物理和随机的降雨时空分布模型；3)观测和模拟大气-降水-土壤和湖面-地表-地表-地下径流-蒸散量之间的相互作用；4)考虑云的存在对降雨过程的观测和模拟。5)地形信息的放大及其对蒸散和降水分布的影响不同尺度的水文信息在防洪和水资源规划中的应用。7)卫星遥感信息在水文中的应用。

Distribuitions of topography, evapotranspiration and precipitaion are key words in scaling up and down of hydrologic process. On the other hand, stochastic approaches are also very important because discussions about relations among processes in a same scale without stochastic concept can tell nothing about relations among various scales. Moreover, now a days, information on stochatic structures of precipitaion distribution, water level and discharge are indispebsable for flood prevention and water resources plannings.This program proceeded consistently following subjects under the view points above.1) Development of a macro hydrologic model through mesh based lumping.2) Development of a physically and stochastic-based model on tempral and spatial distribution of rainfall.3) Observatons and modeling of interaction among atmosphere-precipitaion-soil and lake surface-land surface-subsurface-ground water runoff-evapotranspiration.4) Observations and modeling of rainfall process taking accouunt of existence of clouds.5) Scaling up of topographic information and its effect on distributions of evapotranspiration and precipitaion.6) Application into flood prevention and water resources plannings of hydrologic information in various scales.7) Hydrological applications of information from satellite remote sensing.