Xiaobin Yin

This website uses cookies to ensure you get the best experience on our website. Learn more Skip to main content Practical Applications This study proposes an integrated optimization framework that combines GIS, the analytic hierarchy process (AHP), and mixed-integer linear programming to guide decentralized wastewater treatment plant planning. It efficiently identifies the optimal number, scale, and location of plants based on the spatial distribution of demand.

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1. Introduction Cloud research is paramount in atmospheric and meteorological systems. The recognition of severe convective clouds has always been important in researching meteorological disaster prevention [1,2,3]. The task of satellite cloud image prediction is a time-space sequence prediction task, which is to predict the position and shape of the cloud cluster and the change of brightness temperature value of the infrared channel for a certain period.