| AMeDASデータと国土数値情報標高データを利用した土壌水分量予測に関する研究. Estimation for Soil Moisture Contents with AMeDAS Meteorological Data and Numerical Terrestrial Data. | |||||||||||
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| Shortage of water resource in Japan requires efficient uses of water. For systemetical water use, we designed mesh data of soil moisture content for Shamo area in Hokkaido island, where is a district with little rain, therefore irrigation is indispensable for farming. This study is divided into two parts; the one is planning of meteorological mesh data and the other is evaluation of mesh data for soil moisture contents. First, using AMeDAS meteorological data and numerical terrestrial data, we constructed multiple regression equations. Their dependent variables are the meteorological data such as temperature, duration of sunshine and precipitation, and their independent variables are geographical factors such as longitude, latitude and altitude. The estimation of temperature and duration of sunshine for AMeDAS observation points have small errors, but that of precipitation has large error as much as 45mm at its maximum. Next, we made mesh data of soil moisture contents. To estimate soil moisture contents, method by Nakayama (1991) was adopted. The mean prediction error was 6.4mm and its standard deviation was 14.3mm for shamo area. Therefore this mesh data was appropriate for the planning the irrigation. | |||||||||||
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