Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020

Abstract

Research on urban thermal environments based on thermal comfort can help formulate effective measures to improve urban thermal and human settlement environments, which is of great significance for improving urban quality, urban climate change adaptation, and sustainable development. Taking 344 municipal administrative districts in China as study areas, the Universal Thermal Climate Index (UTCI) of each city in the last 20 years was calculated to evaluate thermal comfort. We then analyzed the thermal comfort and spatiotemporal heterogeneity of each city during a typical heat wave. Finally, the driving forces of the potential socioeconomic, natural, and landscape factors influencing thermal comfort were analyzed using geographic detectors. The results show that the thermal comfort index had similar spatial patterns and differentiation characteristics in different years, and the interannual variation was not obvious. Cities in the typical heat wave period were mainly distributed in East and Northwest China. The driving factor in the contribution rate of the same index in different years was basically the same and was not affected by the change in years, and the highest contribution rate was the natural factor.

Impact of digital economy on ecological resilience of resource-based cities: spatial spillover and mechanism

“…The emergence of this phenomenon makes the energy structure in the northern region tend to be similar. The resistance to upgrading digital economy is smaller than in the southern region (Wu et al, 2022), the energy structure in the southern region is different, and digital economy has greater resistance to improving ecological resilience. For resource-based cities in the mature stage, column (1) shows that digital economy signi cantly improves urban ecological resilience, column (2) indicates that digital economy drives technological innovation, and column (3) shows that the impact of digital economy on ecological resilience of resource-based cities is still signi cant after adding technological innovation, and the absolute value of the coe cient becomes smaller, indicating that there is a partial intermediary effect, and the intermediary effect is 14.7366%.…”

Estimating the Amount of the Wild Artemisia annua in China Based on the MaxEnt Model and Spatio-Temporal Kriging Interpolation

“…The analytica reflects the influencing factors with regard to species distribution and the degree to the habitat is suitable for its growth. Moreover, the spatio-temporal kriging interp method [19][20][21][22][23][24] considers the trends and spatial correlations of the data in time and which prevents the loss of important information and improves the interpolation ac when faced with missing or anomalous data problems or limited field survey d nally, GeoDetector [25][26][27][28][29][30] measures the spatial heterogeneity, detects explanato tors, and analyzes interactions between variables by calculating the q-statistic.…”

Spatio-Temporal Differentiation Characteristics and Driving Factors of Urban Thermal Environment: A Case Study in Shaanxi Province, China

“…Therefore, the LST is greatly different in the daytime. The AT is stable within a certain area, and reflects the real situation of UTE better than LST [4,25]. Despite all of the efforts to explain the changes in UTE characteristics, many studies have shown that, when temperature rises clearly, the UTE changes dramatically [26,27].…”