SpatioTemporal Evolution Analysis of Drought Based on Cloud Transformation Algorithm over Northern Anhui Province Drought is one of the most typical and serious natural disasters, which occurs frequently in most of mainland China, and it is crucial to explore the evolution characteristics of drought for developing effective schemes and strategies of drought disaster risk management. Based on the application of Cloud theory in the drought evolution research field, the cloud transformation algorithm, and the conception zooming coupling model was proposed to refit the distribution pattern of SPI instead of the PearsonIII distribution. Then the spatiotemporal evolution features of drought were further summarized utilizing the cloud characteristics, average, entropy, and hyperentropy. Lastly, the application results in Northern Anhui province revealed that the drought condition was the most serious during the period from 1957 to 1970 with the SPI12 index in 49 months being less than xe2x88x920.5 and 12 months with an extreme drought level. The overall drought intensity varied with the highest certainty level but lowest stability level in winter, but this was opposite in the summer. Moreover, drought hazard would be more significantly intensified along the elevation of latitude in Northern Anhui province. The overall drought hazard in Suzhou and Huaibei were the most serious, which is followed by Bozhou, Bengbu, and Fuyang. Drought intensity in Huainan was the lightest. The exploration results of drought evolution analysis were reasonable and reliable, which would supply an effective decisionmaking basis for establishing drought risk management strategies.

Research and Design on Key Technologies of SpatialTemporal Cloud Platform Construction Up till the present moment, the construction of cloud platform at home and abroad still needs to be improved. To a certain extent, it restricts the development of spatialtemporal application. We integrate internet of things sensing technology, cloudcomputing technology, data mining technology, dualfrequency precision positioning technology, big data analysis technology and broadband network technology. Compiling with simple programming mode, data storage and management, virtualization technology and other key technologies. Through software and hardware for experimental configuration, deployment of cloud nodes, the establishment of mathematical models. Designed a unified spatialtemporal information cloud platform with universality, completeness and easy realization. In order to realize the architecture design and development of the cloud platform. This study give a cloud platform structure design to provide support for national planning. It provides new clues for the theoretical development and application of the spatialtemporal cloud platform construction of the strategic new districts such as the Great Bay Area, China Xiongu0027an New District and Wuhan Yangtze River New Town.