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

本研究分三个阶段研究了植被变化对区域气候的影响。即：1）通过植被变化检测区域土地利用变化。2)利用植被变化预测区域地表温度变化。3)植被变化引起的地表温度变化引起的气温估算植被变化引起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。研究思路是将研究区划分为若干小单元，尝试利用各小单元内的植被指数、地表温度和回归系数进行土地利用变化的检测。结果表明，植被指数与地表温度除异常值外的修正回归系数是检测土地利用变化的最佳参数，利用植被指数变化预测区域地表温度变化 关于我们 另一些国家研究了氮，以估计植被变化和土地利用变化引起的气候变化。将研究区划分为若干单元，研究了土地利用与地表温度的关系。在此基础上建立了土地利用类型比例与地表温度的关系式。这些方程是为了预测植被变化引起的区域地表温度变化，研究地表温度与气温的关系对于估计气候变化是必要的。因此，分析了地表温度与气温的差异，并利用地表温度对气温进行了估算。结果表明，由地面日平均温度推算日平均气温，必须求出各月的回归方程。此外，最准确的估计日平均气温获得每小时平均表面温度在06和18小时。少

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