The South China University of Technology

Huiwang Peng

Qi Li

Qiong Li

Qinrong Yang

Qinglin Meng

Haotian Wu

Shuo Jiang

Disclosed is a method for siting heat wave monitoring stations based on risk evaluation, including: acquiring historical meteorological data of a target region, and preprocessing the historical meteorological data to generate a gridded associated meteorological data set; identifying historical high-temperature heat wave events based on the associated meteorological data set, and calculating parameters and summary indexes of heat wave feature of grids; evaluating station building priority of the grids based on spatial distribution features of the summary indexes; acquiring multi-source data, and evaluating a heat wave risk to generate a heat wave risk map; performing iterative computation using an optimization algorithm based on current station building information, temporal-spatial distribution features of meteorological factors and the heat wave risk map to determine alternative station building positions; and acquiring on-site survey information of each alternative station building position, and determining a position where a station is to be built.

Method and system for siting heat wave monitoring stations based on risk evaluation

The present application discloses an anthropogenic heat flux estimation method and system based on flux observation data. The method includes: performing grid division on the selected region, and acquiring building vector data, land utilization data and instrument observation data in the selected region; calculating and correcting sensible heat fluxes and latent heat fluxes of different underlying surface types in a vorticity correlator flux source region; calculating temporal-spatial distribution of the sensible heat flux and the latent heat flux of each grid in a large-aperture scintillometer flux source region, and calculating temporal-spatial distribution of an anthropogenic heat flux of each grid in the flux source region in combination with a surface energy balance equation; and constructing an anthropogenic heat flux estimation model based on a convolutional neural network, and accurately estimating temporal-spatial distribution of the anthropogenic heat flux of each grid in the selected region.

Anthropogenic heat flux estimation method and system based on flux observation data

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Guangdong, China

Huiwang Peng