摘要:
以河南省为研究区,利用2005—2014年间的 EOS - MODIS 地表温度产品 MOD11A2、植被指数产品MOD13A3以及热带降水测量任务(tropical rainfall measuring mission,TRMM)的月降水速率数据集TRMM3B43,计算了植被状态指数(vegetation condition index,VCI)、温度状态指数(temperature condition index,TCI)以及降水状态指数(tropical rainfall condition index,TRCI),同时结合土地利用类型数据及气象站点数据,通过层次分析法确定权重,构建了农业干旱指数监测模型.在此基础上,利用标准化降水指数(standardized precipitation index,SPI)对模型进行验证,并根据SPI的等级划分确定构建的农业干旱指数监测模型的划分等级.以2014年为例,应用构建的农业干旱指数对河南省干旱情况进行时空分析.结果表明,构建的农业干旱指数监测模型能够有效监测河南省干旱时空变化特征,具有较好的监测效果.
Abstract:
Henan Province was therefore chosen as the study area in this paper. The temperature condition index (TCI),vegetation condition index(VCI) and rainfall condition index(TRCI) were calculated by using the EOS-MODIS surface temperature product MOD11A2,vegetation index products MOD13A3 and tropical rainfall measuring mission's monthly rainfall rate data TRMM3B43 from 2005 to 2014. Then an agricultural drought index (ADI) monitoring model was built up by weighing these three indices and the weights were determined by using analytic hierarchy process(AHP) analysis method. Grading indices of ADI were derived in terms of the classification scales of drought for standardized precipitation index (SPI) which were authorized by national standard. Finally,the ADI monitoring model was constructed to analyze the drought situation in Henan Province in 2014. The results indicate that the ADI proposed in this paper can well capture the temporal and spatial characteristics of the drought situation in Henan Province.
下载: