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

本研究对植被变化对区域气候的影响进行了三步研究，即：1）通过植被变化检测区域土地利用变化；2）通过植被变化预测区域地表温度变化。植被变化导致地表温度变化。随着植被变化而发生的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的研究。研究区域被划分为一些单元格在每个单元中尝试使用植被指数、地表温度和回归系数来检测土地利用变化，结果证明，除异常值之外的植被指数和地表温度之间的校正回归系数是土地检测的最佳参数。 -利用变化。通过改变植被来预测区域地表温度变化，以估计植被变化和土地利用变化引起的气候变化。研究区域被划分为一些单元格和土地利用之间的关系。和表面温度之间的关系进行了研究。这些方程是为了预测植被变化引起的区域地表温度变化。因此，有必要研究地表温度和气温之间的关系，以估计气候变化。分析了地表温度和气温之间的关系，然后使用地表温度来估算气温，结果是必须计算每个月的回归方程，才能根据日平均地表温度估算日平均气温。从每小时平均地面获得日平均气温的准确估计06 和 18 小时温度较低。