Paper Infomation
Meteorological Drought Evolution Analysis Based on Big Data Environment
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Author: Yiran Fu, Xinhui Xu, Xingyu Zhou, Xiaoqing Zhao
Abstract: For the consecutive drought conditions in the study area since 2009, this paper uses GIS technology and combines meteorology theory and method to research meteorological drought evolution. This method takes into account the use of modern scientific and technological means to digitize quantitative research, which has important scientific significance. Pu’er city in Yunnan province is the study area in this research, using linear analysis and IDW interpolation to spatial statistical analysis in ARCGIS software platform, by the monthly precipitation observations of the ten meteorological stations in 1961-2010. The results are 1) The distribution of rainfall in each season shows that southern region is high, the central and northern region is less.2) Summer, autumn and winter precipitation decreased, spring precipitation rise slightly. 3) Drought each month has a larger difference. 4) Drought has been the regional differences in the distribution, a higher frequency of drought in western. The results can provide informative and reliable theories and methods for government decision-making departments.
Keywords: Big data environments ; Meteorological drought ; Evolution law
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