[1] 宋晓猛, 徐楠涛, 张建云, 等. 中国城市洪涝问题:现状、成因与挑战. 水科学进展, 2024, 35(3): 357-373 [2] Kalnay E, Cai M. Impact of urbanization and land-use change on climate. Nature, 2003, 423: 528-531 [3] Sethi SS, Vinoj V. Urbanization and regional climate change-linked warming of Indian cities. Nature Cities, 2024, 1: 402-405 [4] 聂敬娣, 张俊华, 黄波. 城市热岛效应对人体健康影响研究综述. 生态科学, 2021, 40(1): 200-208 [5] Lan TH, Peng J, Liu YX, et al. The future of China's urban heat island effects: A machine learning based on scenario analysis on climatic-socioeconomic polices. Urban Climate, 2023, 49: 101463 [6] Zhao L, Lee XH, Smith RB, et al. Strong contributions of local background climate on urban heat islands. Nature, 2014, 511: 216-219 [7] 黄焕春, 严思平. 城市热岛效应研究热点与前沿的可视化分析:基于CiteSpace聚类分析. 南京工业大学学报:社会科学版, 2021, 20(6): 94-110 [8] Oke TR, Maxwell GB. Urban heat island dynamics in Montreal and Vancouver. Atmospheric Environment, 1975, 9: 191-200 [9] 钱妙芬, 石风云. 成都市城市热岛特征初探. 成都气象学院学报, 1988(1): 1-10 [10] 石瑞玲, 孙学珍, 周翠芳, 等. 大武口市区“城市热岛效应”观测资料对比分析. 科技创新与应用, 2017(14): 297 [11] 张景哲, 刘启明. 北京城市气温与下垫面结构关系的时相变化. 地理学报, 1988, 43(2): 159-168 [12] Alexander P, Mills G. Local climate classification and Dublin's urban heat island. Atmosphere, 2014, 5: 755-774 [13] 周晓宇, 王咏薇, 孙绩华, 等. 昆明城市热岛效应的数值模拟研究. 大气科学, 2022, 46(4): 921-935 [14] Zhu W, Zhang LQ, Mei SJ, et al. Developing urban heat mitigation strategies for a historic area using a high-fidelity parametric numerical simulation: A case study in Singapore. Buildings, 2022, 12: 1311 [15] 郭飞. 基于WRF的城市热岛效应高分辨率评估方法. 土木建筑与环境工程, 2017, 39(1): 13-19 [16] Rao PK. Remote sensing of urban heat islands from an environmental satellite. Bulletin of the American Meteorological Society, 1972, 53: 647-648 [17] 姜高珍, 韩冰, 高应波, 等. Landsat系列卫星对地观测40年回顾及LDCM前瞻. 遥感学报, 2013, 17(5): 1033-1048 [18] 杨翠芹, 何伟, 邾茂盛, 等. 基于气象站和MODIS遥感数据的合肥地区城市热岛评价. 中国环境科学, 2023, 43(增刊1): 243-250 [19] 苏玥, 玉山, 都瓦拉, 等. 基于MODIS时间序列的内蒙古城市热(冷)岛效应研究. 高原气象, 2019, 38(6): 1263-1271 [20] 刘宇翔, 杨英宝, 胡佳, 等. 基于长时序MODIS数据的中国城市昼夜热岛强度时空特征. 地球信息科学学报, 2022, 24(5): 981-995 [21] Karyati NE, Sholihah RI, Panuju DR, et al. Application of Landsat-8 OLI/TIRS to assess the Urban Heat Island (UHI). IOP Conference Series: Earth and Environmental Science, 2022, 1109: 012069 [22] 杨玉婷, 汤家法, 边金虎, 等. 加尔各答市地表温度与不透水面比例季相相关性研究. 遥感技术与应用, 2021, 36(1): 79-89 [23] Hidalgo García D, Arco Díaz J. Modeling of the urban heat island on local climatic zones of a city using Sentinel 3 images: Urban determining factors. Urban Climate, 2021, 37: 100840 [24] 蔡智, 唐燕, 刘畅, 等. 三维城市空间形态演进及其地表热岛效应的规划应对:以北京市为例. 国际城市规划, 2021, 36(5): 61-68 [25] Qin ML, Ouyang HT, Jiang HB, et al. Spatiotemporal evolution characteristics and driving factors of heat island effect based on territorial perspective: A case study of Beibu Gulf urban agglomeration, China. Ecological Indicators, 2024, 166: 112197 [26] 朱菲, 苏涛, 王建, 等. 基于地表参数变化的南京市热岛效应时空演变特征分析. 遥感信息, 2022, 37(4): 106-113 [27] 黄铁兰, 罗婧, 柯锦灿, 等. 基于多源遥感数据的珠三角城市群热岛效应时空演变特征. 北京测绘, 2019, 33(10): 1165-1170 [28] 潘立志, 杨朝斌, 任志彬, 等. 长春市城市热岛效应月变化特征及其影响因素. 生态学杂志, 2024, 43(8): 2257-2265 [29] 邸俊楠, 苏涛, 雷波, 等. 基于“源-汇”景观格局的城市热岛效应及影响因素分析:以合肥市为例. 中国环境科学, 2023, 43(11): 6039-6050 [30] Liu SD, Zhang JJ, Wu X, et al. Potential thermal constraints for sustainable industrial city: Refined simulation and prediction of extreme urban heat island effect. Sustainable Cities and Society, 2024, 105: 105342 [31] Mohamed OYA, Zahidi I. Artificial intelligence for predicting urban heat island effect and optimising land use/land cover for mitigation: Prospects and recent advancements. Urban Climate, 2024, 55: 101976 [32] 李海俊, 马红云, 林益同, 等. 长三角城市群非均匀性对区域热岛效应影响的数值模拟. 气象科学, 2019, 39(2): 194-205 [33] 赵晨晓, 刘春卉, 魏家星. 缓解城市热岛效应的南京市绿色基础设施网络构建方法. 浙江农林大学学报, 2021, 38(6): 1127-1135 [34] 王丹, 杨超, 郑永宏, 等. 海绵城市改造对热岛效应减缓效果的估算. 长江流域资源与环境, 2021, 30(4): 968-975 [35] Xue XY, He T, Xu LC, et al. Quantifying the spatial pattern of urban heat islands and the associated cooling effect of blue-green landscapes using multisource remote sensing data. Science of the Total Environment, 2022, 843: 156829 [36] Zhang W, Li YQ, Zheng CG, et al. Surface urban heat island effect and its driving factors for all the cities in China: Based on a new batch processing method. Ecological Indicators, 2023, 146: 109818 [37] Zhao C, Zhu H, Zhang S, et al. Long-term trends in surface thermal environment and its potential drivers along the urban development gradients in rapidly urbanizing regions of China. Sustainable Cities and Society, 2024, 105: 105324 [38] Liu FY, Liu JK, Zhang YY, et al. Construction of a cold island network for the urban heat island effect mitigation. Science of the Total Environment, 2024, 915: 169950 [39] Tang WB, Zhou J, Ma J, et al. TRIMS LST: A daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000-2022). Earth System Science Data, 2024, 16, 387-419 [40] 李召良, 段四波, 唐伯惠, 等. 热红外地表温度遥感反演方法研究进展. 遥感学报, 2016, 20(5): 899-920 [41] Zhou DC, Zhao SQ, Liu SG, et al. Surface urban heat island in China's 32 major cities: Spatial patterns and drivers. Remote Sensing of Environment, 2014, 152: 51-61 [42] Wang JA, Huang B, Fu DJ, et al. Spatiotemporal variation in surface urban heat island intensity and associated determinants across major Chinese cities. Remote Sen-sing, 2015, 7: 3670-3689 [43] Zhang MH, Dong SC, Cheng H, et al. Spatio-temporal evolution of urban thermal environment and its driving factors: Case study of Nanjing, China. PLoS One, 2021, 16(5): e0246011 [44] 张晓敏, 刘知微, 方寒, 等. 基于Landsat 8 TIRS地表温度数据反演的深圳城市热岛效应时空分布及土地利用的影响. 气候与环境研究, 2023, 28(3): 242-250 [45] Zhang MM, Tan SK, Liang JS, et al. Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nanjing, China. Journal of Environmental Management, 2024, 356: 120560 |