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https://www.selleckchem.com/products/DMXAA(ASA404).html After the promotion of urbanization in the past decades, air pollution has become one of the bottlenecks of China's urban development. Kinds of real-time air pollution indicators are recorded by using environmental detection system in China's urban area that produces precious streaming data. The present paper constructs window DEA model to compute the dynamic air quality index after applying hierarchy analysis to resolve the heterogeneity of time varying data. In the section of empirical study, we select the daily data of CO, NO, SO2, PM 2.5 and PM 10 since January 2018 to August 2019 for 360 cities in China which includes 1,092,600 streaming data. Our empirical findings indicate that air pollution is heavily serious in most China' cities, in which more than 95% cities have over emitted air pollution by 30% at least. Chinese urban air quality is significantly affected by the change of month and shows an inverse U-shaped curve relationship in year, while the orders of weeks within month or order of days within week is irrelevant. The provinces with the most urban air pollution concentrate in middle China and from a continuous pollution zone with Shanxi as the center. Coastal salinity causes substantial adverse impacts on agricultural productivity and food security. Farmers' choice of salinity adaptation strategies might depend on how they perceive the problem. This research examined rice farmers' perceptions of salinity, adaptation strategies, and its implications for policy initiatives to sustain rice production in the affected coastal areas of Bangladesh. Boro rice growers (n = 109) randomly selected from two coastal sub-districts were interviewed using a semi-structured survey. Awareness of salinity and its increase over the past 20 years was widespread among rice farmers. A high proportion of farmers (90%) perceived the reproductive (e.g. booting, heading, and flowering) stages of the rice plant as the most

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