Impact of urbanisation process on extreme high temperature urban heat island phenomenon in Chengdu: based on satellite remote sensing land use
In this study, the meteorological fields for 2001, 2010, and 2022 were simulated using the WRF (Weather Research and Forecasting) model, based on land use data from Chengdu and its neighboring satellite cities. The purpose is to uncover the effects of urbanization on extreme high-temperature weather and the urban heat island phenomenon. It was found that urbanization notably elevates temperatures in Chengdu’s central and new urban areas, with a significant increase in 2022, whereas areas like Longquan Mountain, unaffected by urbanization, experienced minimal temperature changes. The urban heat island effect varies throughout the day, emerging in the morning, peaking at noon, and remaining evident at night due to the thermal inertia of urban structures. The transformation in urban land cover and usage patterns directly influences the distribution of urban temperatures. The study emphasizes the importance of green space conservation, building material selection, and the optimization of urban layouts in urban planning to alleviate the heat island effect. This study contributes scientific insights into climate change amid global urbanization and proposes strategies for urban planning and climate adaptation.
Authors
- Lusong Zhang
- Jianrong Wu (ORCID: https://orcid.org/0009-0000-6972-0928)
- Bo Gong (ORCID: https://orcid.org/0000-0002-3661-1626)
- Zenghao Huang (ORCID: https://orcid.org/0000-0003-1405-3640)
- Qiang Fan (ORCID: https://orcid.org/0009-0001-1047-1696)
- H. Zhang (ORCID: https://orcid.org/0009-0003-9099-7480)
- Haipeng Zhang (ORCID: https://orcid.org/0000-0001-5741-2311)
- Yongli Liao
- Xianyin Mao (ORCID: https://orcid.org/0000-0003-4989-2401)
- Qili Zhang (ORCID: https://orcid.org/0009-0009-0151-3098)
Institutions
- Guizhou Electric Power Design and Research Institute (CN)
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1117/12.3049002
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 0.00