Xing Li , Xiao Li , Hedi Ma , Juan Zhou , Fei Ge , Wanxin Zhang , Yan Yan , Yijing Zhou
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引用次数: 0
Abstract
Rapid urbanization affects local and regional climates, yet uncertainties in multi-satellite-derived surface urban heat island intensity (SUHII) remain poorly understood. This study reassessed China's multi-scale SUHII (2000–2020) and its uncertainties using seven satellite products from the European Space Agency's Climate Change Initiative Land Surface Temperature (LST) dataset via a dynamic-size sliding window method. Results showed that daytime SUHII exhibited a north-south gradient (−0.5 to 0 °C in north; 1.0–1.5 °C in south) with pronounced seasonal variations, whereas nighttime values remained uniform (0.3–1.0 °C) with minor seasonal fluctuations. Substantial inter-satellite discrepancies emerged during summertime in southern China (spreads up to 3.62 °C). Analysis of three long-term satellite records revealed increasing daytime SUHII trends in the south (>1.5 °C/10a), weak decreases in the north (<0.5 °C/10a) and moderate nighttime warming trends countrywide (0.5–1.0 °C/10a). Interannual SUHII variations are smaller than seasonal and diurnal variations. Assessment of data quality metrics suggested that both region-specific climate conditions-induced inherent uncertainties (e.g., clear-sky pixel availability and LST total uncertainty) and varying satellite overpass times are probably the primary drivers of inter-satellite discrepancies. Our findings underscore the importance of considering inter-satellite uncertainties when interpreting urban SUHII patterns, informing urban planning and climate change adaptation strategies.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;