Based on Landsat8 Analysis of Urban Heat Island Effect in Mianyang City District

Kun Wang

doi:10.54097/vjd24t46

Authors

Kun Wang

DOI:

https://doi.org/10.54097/vjd24t46

Keywords:

Heat island effect; temperature inversion; Mianyang Municipal District.

Abstract

The accelerated urbanization process has formed heat islands in urban areas, resulting in the heat island effect, which brings about increased pollution, reduced visibility and other adverse effects, seriously affecting people's production and life. In this paper, we use Landsat8 remote sensing image data from 2013 to 2018 to analyze the heat island situation in the urbanization process, taking Mianyang city as an example. The results show that: the very strong heat island area in Mianyang city area is concentrated in the city center, and the weak heat island area changes to the strong heat island area; the non-heat island area is concentrated in the places with high vegetation cover or water bodies, and the very strong heat island is concentrated in the densely populated places and around the Fuling River; the overall heat island effect in Mianyang city area shows an increasing trend, and the intensity of heat island has a decreasing trend until 2018.

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References

[1] SONG Ruixiang, ZHANG Qingguo, MENG Qingyan, et al. Spatio-temporal characterization of heat island in Hefei city based on landsat8 oli data[J]. Journal of Anhui Agricultural University, 2016, 43(3):474-480.

[2] Wang Caijun. Research on urban heat island effect based on RS [D]. Chongqing Normal University, 2006.

[3] Wang Zhanqing, Wang Zhaoqi, Wang Ke. Research on the relationship between urbanization process and heat island effect in Xining City[J]. Green Technology, 2017(12):15-19.

[4] Yang Chunhua, Lei Bo, Zhang Sheng. Study on the relationship between heat island effect and vegetation cover in the main urban area of Chongqing[J]. People's Yangtze River, 2013(7):51-55.

[5] Yu Sufang, Li Lijuan, Chen Lijin, et al. Study on urban heat island effect in Nanning based on Landsat TM data[J]. Ningxia Agriculture and Forestry Science and Technology, 2013, 54(5).

[6] Yang Chengsong, Che Tao, Ouyang Bin. Analysis of spatial and temporal variations of surface temperature on the Tibetan Plateau[J]. Remote Sensing Technology and Application, 2016(31): 95-101.

[7] Wu Xiaohui. Research on intra-annual temporal and spatial characteristics based on surface temperature inversion results of MODIS images [D]. Hebei Normal University, 2011.

[8] Han Ruidan, Zhang Li, Zheng Yi, et al. Ecological and environmental effects of urban expansion in Bangkok[J]. Journal of Ecology, 2017(19):37-49.

[9] Zhang Xiaomeng. Research on heat island effect of Zhengzhou city based on Landsat [D]. Changchun:Northeast Normal University,2018.

[10] Deng Shubin. ENVI remote sensing image processing methods [M]. Higher Education Press, 2014.

[11] Liu Zihan. Analysis of spatial and temporal evolution of heat island effect in Hefei City based on spatio-temporal fusion technology [D]. Anhui University, 2017.