Assessing the Spatial Variability of Daytime/Nighttime Extreme Heat Waves in Beijing under Different Land-Use during 2011–2020

Abstract

Urban land-use affects surface air temperature; however, the impact of urban land-use on surface air temperature, particularly the extent to which it affects the duration of extreme heat waves, remains uncertain and the mechanisms of diurnal differences need to be further explored. This paper presents study of daytime/nighttime extreme heat waves duration in Beijing under different land-use changes by adopting an index of cumulative hours of extreme heat waves exceeding the certain thresholds. The urban day/night extreme heat waves cumulative hourly interpolation models were established based on high-resolution urban land-use and socioeconomic data and were assessed to have good performance. The annual average cumulative hours of extreme heat waves increased by 95% (daytime) and 116% (nighttime) in 2016–2020 compared to 2011–2015. The cumulative hours for each land-use type ranked as follows: urban land > cropland > water > grassland > woodland. We found that the cumulative hours of extreme heat waves increased significantly with the proportion of urban land and decreased significantly with the proportion of forested land and water. This research provided important information for alleviating extreme heat waves in cities and for rational land planning.

Integrating Remote Sensing and Ground-Based Data for Enhanced Spatial–Temporal Analysis of Heatwaves: A Machine Learning Approach

“…These factors contribute to longer, more frequent, and intense heatwave conditions [123]. The study of [124] found that the cumulative hours of extreme heat waves increased significantly with the proportion of urban land and decreased significantly with the proportion of forested land and water. Additionally, the analysis highlights the years 1997, 2016, and 2019 as having the highest instances of each heatwave index, indicating an upward trend in the occurrence of heatwave events.…”

Developing Comprehensive Local Climate Zone Land Use Datasets for Advanced High-Resolution Urban Climate and Environmental Modeling

“…Different land use classifications have different release properties of sensible heat and latent heat due to differences in the surface physical parameters, which affect the land surface energy balance [2]. They also affect the dynamic and thermal interaction of the atmospheric boundary layer, resulting in changes in temperature, humidity and precipitation within the boundary layer [3][4][5]. Changes in the simulation results of meteorological factors affect the simulation results for transport and the diffusion of air pollutants [6,7].…”