城市化发展对干旱区城市不同功能区局地气温的影响

doi:10.12118/j.issn.1000-6060.2025.034

Abstract

Abstract:

To investigate the impact of rapid urbanization on temperatures in different functional zones of arid cities against the backdrop of climate warming, daily ground-level average, maximum, and minimum temperature data from 1961 to 2023 from the Helan, Yinchuan, and Yongning stations, along with ERA-5 reanalysis data, were analyzed using the observation minus reanalysis method. The study examined the influence and characteristics of urbanization on the warming effects in various functional zones of arid cities. The results reveal that against the broader trend of climate warming, Yinchuan City has experienced a significant overall rise in temperatures. Furthermore, the contribution of different urban functional zones to temperature increases follows the order industrial zones>residential zones>green zones. The sensitivity of these zones to average and minimum temperatures is notably higher than that to maximum temperatures. In addition, as the area of urban green zones decreases, the contribution of urbanization to warming effects on average, maximum, and minimum temperatures gradually increases. Compared to average temperatures, annual temperature extremes in Yinchuan are primarily determined by global and large-scale regional climatic factors, with urban development and functional zone distribution having a lesser influence. By deepening the understanding of warming effects across functional zones, this study provides scientific theoretical foundations and references for enhancing climate-resilient urban development, improving comprehensive disaster prevention and mitigation capabilities, and promoting sustainable development in arid regions of northwest China.

Key words: local temperature, urbanization, climate change, observation minus reanalysis method, contribution rate

GAO Na, CUI Yang, GAO Ruina, LI Wanchun, SUN Jian, LI Xin. Impact of urbanization on local temperatures in different functional areas of cities in arid regions[J].Arid Land Geography, 2025, 48(12): 2132-2142.

Figures/Tables 10

Tab. 1

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Tab. 2

References 32

[1]	史军, 梁萍, 万齐林, 等. 城市气候效应研究进展[J]. 热带气象学报, 2021, 27(6): 942-951.
	[Shi Jun, Liang Ping, Wan Qilin, et al. A review of the progress of research on urban climate[J]. Journal of Tropical Meteorology, 2021, 27(6): 942-951.]
[2]	袁宇锋, 翟盘茂. 全球变暖与城市效应共同作用下的极端天气气候事件变化的最新认知[J]. 大气科学学报, 2022, 45(2): 161-166.
	[Yuan Yufeng, Zhan Panmao. Latest understanding of extreme weather and climate events under global warming and urbanization influences[J]. Journal of Atmospheric Sciences, 2022, 45(2): 161-166.]
[3]	韩芙蓉, 鹿翔, 董美莹, 等. 1971—2020年金华地区极端降水变化特征[J]. 气象与减灾研究, 2023, 46(1): 18-27.
	[Han Furong, Lu Xiang, Dong Meiying, et al. Variation characteristics of extreme precipitation in Jinhua area from 1971 to 2020[J]. Meteorology and Disaster Reduction Research, 2023, 46(1): 18-27.]
[4]	Berckmans J, Hamdi R, Dendoncker N. Bridging the gap between policy-driven land use changes and regional climate projections[J]. Geophysical Research Atmospheres, 2019, 124(12): 5934-5950.
[5]	Wu X J, Wang L C, Yao R, et al. Quantitatively evaluating the feet of urbanization on heat waves in China[J]. Science of the Total Environment, 2020, 731: 138857-138866. doi: 10.1016/j.scitotenv.2020.138857
[6]	隋露, 闫志明, 李开放, 等. 人类活动及气候变化影响下伊犁河谷生境质量预测研究[J]. 干旱区地理, 2024, 47(1): 104-116. doi: 10.12118/j.issn.1000－6060.2023.275
	[Sui Lu, Yan Zhiming, Li Kaifang, et al. Prediction of habitat quality in the Ili River Valley under the influence of human activities and climate change[J]. Arid Land Geography, 2024, 47(1): 104-116.] doi: 10.12118/j.issn.1000－6060.2023.275
[7]	Sun Y, Zhang X B, Ren G Y, et al. Contribution of urbanization warming in China[J]. Nature Climate Change, 2016, 6(7): 706-709. doi: 10.1038/nclimate2956
[8]	Goddard I L M, Tett S F B. How much has urbanization affected United Kingdom temperature[J]. Atmospheric Science Letters, 2019, 20(5): 896-900.
[9]	Lin L J, Gao T, Luo M, et al. Contribution of urbanization to the changes in extreme climate events in urban agglomerations across China[J]. Science of the Total Environment, 2020, 71: 744-748.
[10]	邱国玉, 张晓楠. 21世纪中国的城市化特点及其生态环境挑战[J]. 地球科学进展, 2019, 34(6): 640-649. doi: 10.11867/j.issn.1001-8166.2019.06.0640
	[Qiu Guoyu, Zhang Xiaonan. China’s urbanization and its ecological environment challenges in the 21^st century[J]. Advance in Earth Science, 2019, 34(6): 640-649.]
[11]	严中伟, 丁一汇, 翟盘茂, 等. 近百年中国气候变暖趋势之再评估[J]. 气象学报, 2020, 78(3): 370-378.
	[Yan Zhongwei, Ding Yihui, Zhai Panmao, et al. Reassessing climatic warming in China since the last century[J]. Acta Meteorologic Sinica, 2020, 78(3): 370-378.]
[12]	Blake R, Gnimm A, Chinoiserie T, et al. Urban climate science[M]. United Kingdom: Cambridge University Press, 2018: 27-60.
[13]	张小玲, 刘梦娜, 青泉, 等. 1960—2018年成都地区极端气温变化及城市化贡献分析[J]. 高原山地气象研究, 2022, 42(1): 10-17.
	[Zhang Xiaoling, Liu Mengna, Qing Quan, et al. Extreme temperature change and urbanization contribution in Chengdu from 1960 to 2018[J]. Plateau and Mountain Meteorology Research, 2022, 42(1): 10-17.]
[14]	赵旋, 吴遥, 冯勇, 等. 成都城市化发展对局地气候的影响[J]. 高原山地气象研究, 2021, 41(4): 100-107.
	[Zhao Xuan, Wu Yao, Feng Yong, et al. Influence of Chengdu urban development on local climate[J]. Plateau and Mountain Meteorology Research, 2021, 41(4): 100-107.]
[15]	Buo I, Sagris V, Burdun I, et al. Estimating theexpansion of urban areas and urban heat islands (UH) in Ghana: A case study[J]. Natural Hazards, 2021, 105(2): 1299-1321. doi: 10.1007/s11069-020-04355-4
[16]	唐晓萍, 张德军, 赵漫, 等. 近20年重庆沙坪坝城市热岛效应变化特征[J]. 高原山地气象研究, 2023, 43(2): 105-112.
	[Tang Xiaoping, Zhang Dejun, Zhao Man, et al. Variation characteristic of heat island effect in Shapingba, Chongqing in recent 20 years[J]. Plateau and Mountain Meteorology Research, 2023, 43(2): 105-112.]
[17]	杨续超, 陈葆德, 胡可嘉. 城市化对极端高温事件影响研究进展[J]. 地理科学进展, 2015, 34(10): 1219-1228. doi: 10.18306/dlkxjz.2015.10.002
	[Yang Xuchao, Chen Baode, Hu Kejia. A review of impacts of urbanization on extreme heat events[J]. Progress in Geography, 2015, 34(10): 1219-1228.] doi: 10.18306/dlkxjz.2015.10.002
[18]	谢志清, 杜银, 曾燕, 等. 上海城市集群化发展显著增强局地高温热浪事件[J]. 气象学报, 2015, 73(6): 1371-1378.
	[Xie Zhiqing, Du Yin, Zeng Yan, et al. The exacerbated intensity and duration of the heat waves events over Shanghai as caused by urban clusters expansion[J]. Acta Meteorologica Sinica, 2015, 73(6): 1371-1378.]
[19]	Sen Roy S, Yuan F. Trends in extreme temperatures in relation to urbanization in the twin cities metropolitan area, Minnesota[J]. Journal of Applied Meteorology and Climatology, 2009, 48(3): 669-679. doi: 10.1175/2008JAMC1983.1
[20]	谢志清, 杜银, 曾燕, 等. 长江三角洲城市集群化发展对极端高温事件空间格局的影响[J]. 科学通报, 2017, 62(1): 233-244.
	[Xie Zhiqing, Du Yin, Zeng Yan, et al. Impact of urban clusters on spatial pattern of extreme high temperature events over Yangtze River Delta[J]. Chinese Science Bulletin, 2017, 62(1): 233-244.]
[21]	王玉洁, 林欣. 京津冀城市群气候变化及影响适应研究综述[J]. 气候变化研究进展, 2022, 18(6): 743-755.
	[Wang Yujie, Lin Xin. A review of climate change and its impact and adaption in Beijing-Tianjin-Hebei urban agglomeration[J]. Climate Change Research, 2022, 18(6): 743-755.]
[22]	赵宗慈, 罗勇, 黄建斌. 全球变暖与城市[J]. 气候变化研究进展, 2024, 20(4): 504-508.
	[Zhao Zongci, Luo Yong, Huang Jianbin. Global warming and cities[J]. Climate Change Research, 2024, 20(4): 504-508.]
[23]	吴雨彤. 土地利用及城市形态对城市热环境的影响机制研究[D]. 包头市: 内蒙古科技大学, 2025.
	[Wu Yutong. A study on the mechanism of land use and urban morphology on the urban thermal environment[D]. Baotou: Inner Mongolia University of Science and Technology, 2025.]
[24]	Sanaieian H, Tenpierik M, van Den Linden K, et al. Review of the impact of urban block form on thermal performance, solar access and ventilation[J]. Renewable and Sustainable Energy Reviews, 2014, 38: 551-560. doi: 10.1016/j.rser.2014.06.007
[25]	周涛, 王亚娟, 刘小鹏. 宁夏沿黄城市群新型城镇化与低碳发展的耦合交互研究[J]. 干旱区地理, 2025, 48(8): 1457-1468. doi: 10.12118/j.issn.1000-6060.2025.102
	[Zhou Tao, Wang Yajuan, Liu Xiaopeng. Coupling interaction study of new-type urbanization and low-carbon development in Ningxia urban agglomeration along the Yellow River[J]. Arid Land Geography, 2025, 48(8): 1457-1468.] doi: 10.12118/j.issn.1000-6060.2025.102
[26]	侯彩霞, 张宇宙, 杨建平. 关中平原城市群水资源-社会-生态系统耦合协调及障碍因子分析[J]. 干旱区地理, 2025, 48(4): 717-727. doi: 10.12118/j.issn.1000-6060.2024.280
	[Hou Caixia, Zhang Yuzhou, Yang Jianping. Coupling coordination and obstacle factors of water-society-ecosystem in the Guanzhong Plain urban agglomeration[J]. Arid Land Geography, 2025, 48(4): 717-727.] doi: 10.12118/j.issn.1000-6060.2024.280
[27]	马彩虹, 安斯文, 滑雨琪, 等. 宁夏沿黄经济带生态用地格局演变及其驱动机制[J]. 经济地理, 2022, 42(6): 179-187. doi: 10.15957/j.cnki.jjdl.2022.06.018
	[Ma Caihong, An Siwen, Hua Yuqi, et al. Evolution and driving mechanism of ecological land use along the Yellow Economic Belt in Ningxia[J]. Economic Geography, 2022, 42(6): 179-187.] doi: 10.15957/j.cnki.jjdl.2022.06.018
[28]	Kalnay E, Cai M. Impact of urbanization and landless change on climate[J]. Nature, 2003, 423(6939): 528-531. doi: 10.1038/nature01675
[29]	王蓉蓉, 周顺武, 彭旭东, 等. 多种方法分析城市化对保定气温变化的贡献[J]. 内蒙古气象, 2014, 34(2): 23-26.
	[Wang Rongrong, Zhou Shunwu, Peng Xudong, et al. Analysis on meteorological service of the mountain torrents and water-logging disaster caused by heavy rainfall in Baoding City[J]. Meteorology Journal of Inner Mongolia, 2014, 34(2): 23-26.]
[30]	敖雪, 翟晴飞, 崔妍, 等. 基于OMR方法的城市化进程对辽宁省气温变化的影响分析[J]. 气象与环境学报, 2020, 36(4): 28-35.
	[Ao Xue, Zhai Qingfei, Cui Yan, et al. Analysis of the influence of urbanization process on the temperature change in Liaoning Province based on the OMR method[J]. Journal of Meteorology and Environment, 2020, 36(4): 28-35.]
[31]	李宇, 周德成, 闫章美, 等. 中国主要城市的城市化对局地增温的贡献[J]. 环境科学, 2022, 43(5): 2822-2829.
	[Li Yu, Zhou Decheng, Yan Zhangmei, et al. Contribution of urbanization to local warming in major cities of China[J]. Environmental Science, 2022, 43(5): 2822-2829.]
[32]	孙敏, 汤剑平, 许春艳. 中国东部地区城市化及土地用途改变对区域温度的影响[J]. 南京大学学报(自然科学版), 2011, 47(6): 679-691.
	[Sun Min, Tang Jianping, Xu Chunyan. Impact of urbanization and land-use change on regional temperature in eastern China[J]. Journal of Nanjing University (Natural Science), 2011, 47(6): 679-691.]

气象观测站	原站		第1次迁站		第2次迁站
气象观测站	观测年份	用地类型	观测年份	用地类型	观测年份	用地类型
贺兰站	1961—2004	农田	2005—2025	农田、绿化用地	-	-
银川站	1961—2004	农田	2005—2025	绿化、住宅用地	-	-
永宁站	1961—2003	农田	2004—2017	工商业及住宅用地	2018—2025	农田

站名	平均气温	平均最高气温	平均最低气温
贺兰站	9.6	44.4	0.0
银川站	46.9	45.7	51.0
永宁站	63.7	61.8	62.7

Impact of urbanization on local temperatures in different functional areas of cities in arid regions

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 32

Related Articles 15

Metrics

Comments

Recommended 0

[1]	ZHANG Fei, LI Jian, LI Huirong, XIE Tao, ZHANG Xuehong, WANG Chao, BAI Shuying, SONG Zhengshan. Spatiotemporal characteristics of net primary productivity and its response to influencing factors in Xilin Gol League grassland from 2001 to 2024 [J]. Arid Land Geography, 2025, 48(9): 1555-1566.
[2]	LI Wenhua, LI Shengyu, XU Xinwen, MIAO Jiamin, LYU Zhentao. Predicting the potential distribution of Artemisia songarica in Xinjiang under climate change based on the MaxEnt model [J]. Arid Land Geography, 2025, 48(9): 1578-1588.
[3]	ZHANG Kexin, ZHAO Yujuan, LI Meiyu. Hail climate characteristics and influencing factors in eastern Gansu Province from 1978 to 2023 [J]. Arid Land Geography, 2025, 48(8): 1374-1384.
[4]	XU Jing, YANG Bin. Coupling coordination of new urbanization and ecological security and spatial-temporal non-stationarity of its driving factors in Gansu Province [J]. Arid Land Geography, 2025, 48(8): 1432-1444.
[5]	GAO Shuai, ZHANG Wuwei. Synergistic evolution of new quality productivity and new urbanization in China’s provinces [J]. Arid Land Geography, 2025, 48(8): 1445-1456.
[6]	ZHOU Tao, WANG Yajuan, LIU Xiaopeng. Coupling interaction study of new-type urbanization and low-carbon development in Ningxia urban agglomeration along the Yellow River [J]. Arid Land Geography, 2025, 48(8): 1457-1468.
[7]	WU Zhiping, JIANG Min, FU Jianxin. Spatial and temporal differences and driving forces for high-quality development of urbanization in the Jiziwan metropolitan area of the Yellow River [J]. Arid Land Geography, 2025, 48(7): 1279-1292.
[8]	CHEN Shilong, MENG Qingkai, DAI Yong, YANG Liqiang, WU Han. Geological disaster hazard assessment and prediction in the Ili River Basin based on CMIP6 future scenarios [J]. Arid Land Geography, 2025, 48(4): 599-611.
[9]	YAO Di, ZHANG Ziwen, HAN Weiwei. Distinguishing climate- and human-driven water storage anomalies in the Yellow River Basin [J]. Arid Land Geography, 2025, 48(2): 190-201.
[10]	LI Jin, PU Juan, LI Mingliang, ZHAO Lanlan, YU Guoxin. Measurement, regional differences and dynamic evolution of the coupled coordinated development level of new urbanization and harmonious villages [J]. Arid Land Geography, 2025, 48(12): 2220-2231.
[11]	WANG Shengxia, LI Maolan, LIU Ruiting. Spatiotemporal evolution and obstacle factors of the coupling coordination degree of tourism efficiency and urbanization: A case of the core section of the “Belt and Road” [J]. Arid Land Geography, 2025, 48(11): 2053-2061.
[12]	LI Zhanwen, WU Wenheng, YAO Hangang, ZHU Yuze, LI Yuxuan. Spatio-temporal evolution and driving mechanism of coupling coordination between new urbanization and agricultural modernization in the Yellow River Basin [J]. Arid Land Geography, 2025, 48(10): 1878-1891.
[13]	MA Xiaomin, ZHANG Zhibin, GUO Qianqian, ZHAO Xuewei, ZHANG Ning. Spatial and temporal evolution and driving factors of population in Lanzhou City from 2000 to 2020 [J]. Arid Land Geography, 2025, 48(1): 168-178.
[14]	CHANG Wenjing, CONG Shixiang, WANG Rongrong, DING Xudong, YU Hailong, HUANG Juying. Quantitative analysis of NDVI changes in Mu Us Sandy Land by climate change and human activities [J]. Arid Land Geography, 2025, 48(1): 63-74.
[15]	KANG Limin, TENG Xinru, CHE Jiahang, HUAI Baojuan. Spatiotemporal variations of snow cover on the northern slope of Kunlun Mountains [J]. Arid Land Geography, 2024, 47(9): 1462-1471.