Estimation of land use and water usage in the Huaihe River Basin from field survey and satellite analysis
O. KOZAN (1), K. TANAKA (1), S. IKEBUCHI (1)
(1) Disaster Prevention Research Institute, Kyoto University
In this study, land-surface scheme (SiBUC) is applied to the Huaihe River Basin in China, for the quantitative evaluation of vegetation and human activities in the regional hydrological process, using meteorological, hydrological and GMS data obtained during HUBEX-IFO (1998/5/1-8/31). The previous study shows that much water was consumed in farmland as irrigation water. By the way, the validation of the amount of water considering the water supply system of this area was not sufficient. Then, field survey was carried out in crop rotating period (September and October 2003) and crop harvesting period (June 2004). Land surface changes caused by harvesting are observed at 3 types of farmland (soy bean, maize and peanut) in farmland area, and water usage systems (irrigation area, facility, water volume, etc.) are investigated at 16 villages in paddy and farmland mixed area. The main purpose of these surveys is the identification of land use and water usage system described in the land-surface scheme. A new land use map including detailed crop pattern in the Huaihe River Basin is produced from satellite derived vegetation indices and surface meteorological data. All 1km resolution meshes in this area can be classified into 7 categories (water body, urban area, evergreen/deciduous forest, single/double cropping land, and others). Then, accumulated degree-days value of each mesh during growing period is utilized to divide cropland into 6 types (rice, corn, soybean, peanuts, cotton, and others). Agricultural statistic data of 187 Prefectures in Henan Province are utilized for validating the new land use map. Water usage of this area is also estimated from water use survey and satellite analysis. Finally, estimated land classification and water usage are applied to land-surface scheme, and output of this simulation is validated from hydrological data (e.g. discharge data, irrigation data and water storage data of reservoir).
Submittal Information
Name :
Date :
Osamu KOZAN
09-Aug-04-15:22:09
Organization :
Theme :
Disaster Prevention Research Institute, Kyoto University