Spatial and Temporal Analysis on the Evolution Characteristics of Land Surface Temperature in the Pearl River Delta Region

Abstract

Abstract. With the rapid development of social economy and the continuous progress of urbanization in the Pearl River Delta region, the urban surface temperature had a significant change, which seriously affects people's normal life. The MOD11B3 LST_Day_6km product and other auxiliary data were selected as data sources, and the temperature-standard deviation method, the profile method and the coefficient method were used to analyze the spatial and temporal evolution characteristics of land surface temperature in the Pearl River Delta Region from 2000–2015. The research results showed that: (1) the maximum surface temperature from 2000 to 2015 in June, July and August showed an upward trend, while the minimum temperature showed a fluctuation downward trend, and the average temperature changed gently. (2) the surface temperature had a spatial pattern of low on all sides, and high in the middle. The high temperature zone were mainly distributed in Guangzhou, Dongguan, Foshan and Shenzhen cities and the surrounding areas. And the high temperature areas were more concentrated and showed a spreading direction of East and South. (3) The profile analysis showed that the surface temperature had a double-peak feature along the profile line, and the temperature decreased with the distance farther away from the center of the high temperature zone. (4) The correlation coefficient between land surface temperature and elevation, vegetation index were −0.551 and −0.734 respectively, both passing p < 0.01 significance test, indicating that the surface temperature had a significant negative correlation relationship with elevation and vegetation index. Therefore, strengthen urban greening is of great significance to the healthy development of the city.

Assessment and Prediction of Climate Risks in Three Major Urban Agglomerations of Eastern China

“…The region is also affected by the intertropical convergence zone. The Pearl River Delta region thus received the most precipitation [35].…”

Variation characteristics and the impact of urbanization of extreme precipitation in Shanghai

“…We selected two different percentile thresholds of 95% and 99%. The 95th and 99th percentile precipitation values in ascending order for hourly precipitation greater than 0.1 mm were used as the threshold for extreme precipitation at that station 28 , and extreme precipitation was considered to occur when hourly precipitation exceeded that extreme precipitation event threshold. In this paper, extreme precipitation is selected as the index for analysis, which refers to the sum of hourly rainfall over the threshold value in a year.…”

“…Yang et al 26 , 27 also conducted a study on the impact of urbanization on short-duration heavy precipitation in Beijing based on hourly precipitation data, showing that short-duration heavy rainfall in Beijing is strongly correlated with urbanization, and the urban heat island effect is more obvious in summer. Huang et al 28 used spatial analysis, linear regression, and trend test to analyze the extreme rainfall in the highly urbanized areas of the Pearl River Delta, finding a significant increase, while no significant change is witnessed in other adjacent areas. The storm rainfall pattern in the Pearl River Delta is dominated by unimodal patterns, which easily leads to an increase in rainstorm flooding events.…”

Spatiotemporal variability of event‐based rainstorm: The perspective of rainfall pattern and concentration

“…Using a framework based on global climate model simulations, Gao et al (2018) investigated the future changes of RP in the Qu River Basin and found that the temporal patterns of heavy rainfall events would become more nonuniform and concentrated. Huang et al (2021) analysed the spatiotemporal distribution and variation of extreme RPs in the Pearl River Delta region and found that unimodal patterns with early peaks increased significantly in highly urbanized areas. Hettiarachchi et al (2018) and Fadhel et al (2018) proved that the RP change significantly impacts flooding in urban or suburban areas.…”

“…Huang et al . (2021) analysed the spatiotemporal distribution and variation of extreme RPs in the Pearl River Delta region and found that unimodal patterns with early peaks increased significantly in highly urbanized areas. Hettiarachchi et al .…”