摘要
在气候变暖和城市化扩张背景下,为了解成都市近10 a的城市热岛变化,该文基于2014—2023年MODIS反演的地表温度及多源数据,利用平均值-标准差法、线性趋势、相关分析等方法,探讨了成都市的城市热岛年际、季节的时空变化特征并进行对比分析,还对引起热岛现象的影响因素进行了相关性和对比分析。结果表明:①白天,春冬2季热岛随时间呈下降趋势,而夏秋2季和年际则呈上升趋势;夜间,春季和年际热岛随时间呈下降趋势,而夏秋冬3季则呈上升趋势;夏季热岛现象明显低于其他3个季节,春夏秋3季热岛面积所占比例随时间变化趋势相同,而冬季和年际变化趋势相反;②白天热岛现象的空间变化整体呈现西南-东北走向增强,夜间呈现从西南向东北的波动变换,白天热岛面积分布较夜间更集中,白天围绕市中心呈团状,而夜间则呈更明显破碎状分布;③热岛面积占比的主要影响因素,白天为地形和雾天天数,夜间为地形、降水量、相对湿度、PM 2.5浓度和城市建成区绿化覆盖率。研究结果可为成都市合理布局未来城市规划建设、改善城市热环境提供重要的参考。
In the context of climate warming and urban expansion,this study aims to understand the urban heat island(UHI)changes in Chengdu City over the past decade.To this end,this study,based on inverted surface temperature and multi-source data from moderate-resolution imaging spectroradiometer(MODIS)data between 2014 and 2023,analyzed the spatiotemporal variations in interannual and seasonal UHI in Chengdu and conducted a comparative analysis using the mean standard deviation method,linear trend analysis,and correlation analysis.It further conducted correlation and comparative analyses of the UHI influencing factors.The results indicate that the daytime UHI showed a downward trend over time in spring and winter,but an upward trend in summer,autumn,and at the interannual scale.In contrast,the nighttime UHI in spring and at the interannual scale decreased over time,but increased in summer,autumn,and winter.Comparison analysis indicates that the summer exhibited significantly lower UHI than the other three seasons.The temporal variations in the proportion of UHI area followed a similar trend in spring,summer,and autumn,but an opposite trend in winter and at the interannual scale.In terms of the spatial distribution,the daytime UHI generally increased from southwest to northeast,while the nighttime UHI fluctuated in the same direction.Comparison analysis reveals that daytime exhibited a more concentrated UHI distribution compared to nighttime.Specifically,the daytime UHI formed a clustered distribution pattern around the city center,whereas the nighttime UHI presented a more fragmented pattern.In addition,the primary factors influencing the proportion of UHI area were identified as DEM and the number of foggy days during the daytime,and DEM,precipitation,relative humidity,PM 2.5 concentration,and green coverage rate in the built-up urban area during nighttime.The results provide important reference for the rational layout of future urban planning and construction and the improvement of the urban thermal environment in Chengdu City.
作者
彭贺媛
李谢辉
PENG Heyuan;LI Xiehui(Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province,School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,China;College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China;Yunnan R&D Institute of Natural Disaster on Chengdu University of Information Technology,Kunming 650034,China)
出处
《自然资源遥感》
北大核心
2026年第1期116-125,共10页
Remote Sensing for Natural Resources
基金
四川省科技计划资助项目“多源遥感信息融合深度学习的西南干旱动态预测与可解释性分析”(编号:2025NSFSC2045)
四川省高校人文社科重点研究基地气象灾害预测预警与应急管理研究中心开放重点课题“多源信息融合机器学习的西南气象干旱监测预测与评估研究”(编号:ZHYJ23-ZD01)
云南省科技厅重点项目“气象灾害风险管理关键技术研究与应用”(编号:202203AC100005)共同资助。
关键词
MODIS数据
城市热岛
时空变化特征
对比分析
影响因素
moderate-resolution imaging spectroradiometer(MODIS)data
urban heat island(UHI)
spatiotemporal variation
comparative analysis
influencing factor
