The Construction Of Chongqing Drought Monitoring Model Based On TRMM And MODIS Satellite Data

Drought is the most serious impact on human society and one of the huge losses caused by natural disasters, in the global climate warming, drought is also showing a worse tendency. Therefore, monitoring and Research on the temporal and spatial evolution characteristics, the development trend of regional drought, not only has the value in theory research, but also has very important guiding significance for the local government drought relief action and regional agricultural production. In this study, based on multi-source remote sensing data obtained in the process of drought drought induced factors, comprehensive consideration of the development process of drought, drought monitoring state of vegetation growth, soil water stress, such as profit and loss caused by drought, meteorological precipitation factor based model, and taking Chongqing as an example, the spatial and temporal information construction of drought in Chongqing during 2000~2013, quantitative analysis to monitor the drought experienced in Chongqing in recent ten years. On this basis, by using the method of the linear spatial trend method, research and analysis on the change trend of drought in Chongqing. The thesis mainly includes the following several aspects:(1) Using the Chongqing area 34 meteorological stations monthly precipitation data in recent 40 years, the calculation of drought index standardized precipitation index SPI and integrated meteorological drought index CI. The CI index will be used as the model construction of the dependent variable, SPI index as the drought index, drought model validation for comprehensive construction.(2) Analysis of the applicability of TRMM precipitation data in Chongqing area, and then building the monitoring of atmospheric precipitation deficit through the data of the TRMM-Z index. The use of 34 meteorological site measured data separately from the year, season, month of the 3 scale, there is a good correlation between the TRMM and the site monthly precipitation data measured rainfall, to meet the basic application of the month scale. The monthly precipitation data using the TRMM product of 2000~2013 years and single station drought monitoring Z index method, construction monitoring of atmospheric precipitation deficit of TRMM-Z index, and compared with the SPI index, the correlation coefficient of R to 0.86.(3) Construct reflect the drought vegetation condition index and surface temperature condition index, quantitative indicator of drought vegetation growth response and soil water stress.(4) The construction of comprehensive drought monitoring model and the model validation. In this study, using Eureqa modeling tools, the establishment of comprehensive drought index CDCI, calculated by the model year comprehensive drought index of Chongqing 2000~2013, obtain the information space distribution of monthly drought in Chongqing area in 2006 and 2011, for example, analysis of the Chongqing monthly comprehensive drought index space changes. Using the data and index of various soil moisture data, the meteorological drought index and drought example, cross validation on the construction of comprehensive drought index. Results showed that the comprehensive drought index has certain reliability, can reflect and monitor the drought information of a certain extent.(5) To study and analyze the characteristics of the study area drought trend change. Based on the constructed model, using linear regression analysis method of trend, respectively from the numerical and spatial distribution of two aspects conducts the research to the Chongqing 2000-2013 year in July, August, September the trend of drought characteristics, negative value region represents the trend of drought increased year by year. From the linear trend value spatial distribution, in July the negative zone are mainly distributed in the central Chongqing Nanchuan, Fuling, Wulong, Fengdu and northeastern Fengjie and Wushan region, the regional distribution of less positive in August, mainly in Yuzhong Wulong, Nanchuan and Fengdu part area and zero Star Distribution less in parts of northeast of Chongqing Wuxi, September the positive region mainly concentrated in the northern region of Tongnan, Western Hechuan, Tongliang west.