WEATHER INFORMATION ACQUISITION AND HEALTH SIGNIFICANCE DURING EXTREME COLD WEATHER IN A SUBTROPICAL CITY: A CROSS-SECTIONAL SURVEY IN HONG KONG

Weather Information Acquisition and Health Significance during Extreme Cold Weather in a Subtropical City: A Cross-sectional Survey in Hong Kong

Abstract Health and disaster risk reduction are important and necessary components in building a smart city, especially when Sanitizer Test Strips/Labels climate change may increase the frequency of extreme temperatures and the health risks of urban dwellers.However, limited knowledge is available about the best way to disseminate weather warnings

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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors

Sensors are prone to malfunction, leading to blank or erroneous measurements that cannot be ignored in most practical applications.Therefore, data users are always looking 100% Human Hair (Single Pack) for efficient methods to substitute missing values with accurate estimations.Traditionally, empirical methods have been used for this purpose, but w

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