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、蒸散发和降水分布是水文过程放大和缩小的关键。另一方面，随机方法也很重要，因为在没有随机概念的情况下讨论同一尺度的过程之间的关系，无法说明不同尺度之间的关系。此外，在当今时代，降水分布、水位和流量的随机结构信息是防洪和水资源规划不可或缺的。在上述观点下，该程序始终遵循受试者进行。1)通过网格集总建立宏观水文模型。2)基于物理和随机的降雨时空分布模式的建立。3)大气-降水-土壤与湖泊地表-陆地地表-地下-地下水径流-蒸散相互作用的观测与模拟。4)考虑云存在的降雨过程的观测和模拟。5)地形信息的尺度化及其对蒸散发和降水分布的影响。6)不同尺度水文信息在防洪和水资源规划中的应用。7)卫星遥感信息的水文应用。

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.