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

本文分三步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)通过植被变化估算地表温度变化引起的气温。随着植被的变化，土地利用的变化将导致区域气候的变化。因此，本文首先开展了土地利用变化的检测研究。本文的研究思路是将研究区划分为若干单元格，利用每个单元格的植被指数、地表温度和回归系数对土地利用变化进行检测。结果表明，除异常值外，植被指数与地表温度的修正回归系数是检测土地利用变化的最佳参数。利用植被变化预测区域地表温度变化的研究在植被变化和土地利用变化引起的气候变化方面得到了更多的研究。将研究区划分为若干小区，探讨了土地利用与地表温度的关系。建立了土地利用类型与地表温度比值的关系式。这些方程用于预测植被变化对区域地表温度的影响。研究地表温度与气温的关系是估算气候变化的必要条件。因此，分析了地表温度与空气温度的差异，然后利用地表温度估算空气温度。结果表明，由日平均地表温度估算日平均气温，必须计算每个月的回归方程。此外，最准确的日平均气温估计是由06时和18时的逐时平均地表温度。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