The study of prediction for the regional climate change by changing vegetation

植被变化预测区域气候变化的研究

基本信息

批准号：
05454103
负责人：
HORIGUCHI Ikuo
金额：
$ 4.54万
依托单位：
Hokkaido University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1995
项目状态：
已结题

项目摘要

Three step studies of regional climate effects by changing vegetation were performed in this study. That is, 1) the detection of regional land-use change by changing vegetation. 2) Prediction of regional surface temperature change by changing vegetation. 3) Estimation of air temperature due to change surface temperature by changing vegetation.Land-use change occurred with changing vegetation will result to the regional climate change. Therefore for the first, the study of detection for land-use change were performed. The outline of the study is that the study area was divided into some cells and the detections of land-use change were tried by using vegetation index, surface temperature and regression coefficient in each cell. It was proved that the corrected regression coefficient between vegetation index and surface temperature excepted abnormal values is the best parameter for the detection of land-use change.Prediction of the regional surface temperature change by changing vegetatio … More n was studied in other to estimate climate change caused by vegetation change and land-use change. The study area was divided into some cells and the relationship between land-use and surface temperature were investigated. And then Equations between ratio of land-use type and surface temperature were conducted. Those equations are for the prediction of changing regional surface temperature by changing vegetation.It is necessary to study the relation between surface temperature and air temperature for the estimation of climate change. Therefore, the difference between surface temperature and air temperature was analyzed and then the estimation of air temperature were performed using surface temperature. The results are taht regression equation for each month must be calculated for the estimation of daily mean air temperature from daily mean surface temperature. Also the most accurate estimation of daily mean air temperature was obtained from hourly mean surface temperature at 06 and 18 hour. Less

在本研究中，通过改变植被对区域气候影响进行了三步研究。也就是说，1）通过改变植被来检测区域土地利用变化。 2）通过改变植被来预测区域表面温度的变化。 3）估计因改变植被而因表面温度变化而导致的空气温度。随着植被变化的变化，土地利用变化将导致区域气候变化。因此，首先进行了土地利用变化检测研究。该研究的轮廓是将研究区域分为某些细胞，并通过使用每个细胞中的蔬菜指数，表面温度和回归系数尝试了土地利用变化的检测。事实证明，蔬菜指数和表面温度之间校正后的回归系数除外，异常值是检测土地利用变化的最佳参数。通过改变植被来预测区域表面温度变化的预测……在其他方面研究了更多的n，以估计由植被变化和土地利用变化引起的气候变化。研究区域分为某些细胞，并投资了土地利用与表面温度之间的关系。然后进行了土地使用类型和表面温度比率之间的方程式。这些方程是为了预测通过改变植被改变区域表面温度的预测。有必要研究表面温度和空气温度之间的关系，以估计气候变化。因此，分析了表面温度和空气温度之间的差异，然后使用表面温度进行空气温度的估计。结果是每个月的测试回归方程，必须根据每日平均表面温度的每日平均气温估算。同样，每天平均空气温度的最准确估计是从06和18小时的小时平均表面温度获得的。较少的