1. 西北农林科技大学 水土保持科学与工程学院, 陕西 杨凌,712100
2. 中国科学院 水利部 水土保持研究所, 陕西 杨凌,712100
网络首发:2025-05-16,
纸质出版:2025
移动端阅览
曹乐乐, 王飞, 戈文艳, 等. 黄土高原气候舒适度变化及其与植被覆盖的关系[J]. 水土保持通报, 2025,45(2):315-324.
Cao Lele, Wang Fei, Ge Wenyan, et al. Change of climate comfortability and relationship with vegetation cover on Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 315-324.
曹乐乐, 王飞, 戈文艳, 等. 黄土高原气候舒适度变化及其与植被覆盖的关系[J]. 水土保持通报, 2025,45(2):315-324. DOI: 10.13961/j.cnki.stbctb.2025.02.0032.
Cao Lele, Wang Fei, Ge Wenyan, et al. Change of climate comfortability and relationship with vegetation cover on Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 315-324. DOI: 10.13961/j.cnki.stbctb.2025.02.0032.
[目的] 研究黄土高原气候舒适度分布规律及其时空变化特征,并分析其与植被覆盖的关系,为生态修复环境效应和生态产品价值实现机制研究提供参考。[方法] 基于1981—2020年黄土高原气象站点日监测数据,采用温湿指数对黄土高原地区气候舒适度的时空变化状况进行评价,在此基础上利用PKU GIMMS NDVI数据定量评估了站点周边NDVI与气候舒适程度的关系。[结果] ①在空间上,黄土高原中部气候舒适期(非常舒适、舒适型)长(135 d/a以上);西北部夏季舒适期长,东南部春秋两季舒适期长;西北部年均极不舒适日数多于东南部,较不舒适与不舒适日数低于东南部地区。②在时间上,黄土高原气候舒适期占全年日数的35.46%,主要集中在5—9月;气候不适期(较不舒适、不舒适、极不舒适型)占全年日数的64.54%,主要集中分布在10月至次年4月。黄土高原最主要的气候舒适类型是极不舒适,占全年总天数的27.59%,主要集中在11月至次年2月。③研究时段内,黄土高原85%的站点气候舒适程度呈极显著或显著增加趋势(p<0.05),其中研究区66.67%的站点气候舒适程度呈极显著增加趋势(p<0.01)。黄土高原约21.67%的站点舒适日数显著增加,其中山西省五台山站增加最多(18.89 d/10 a);约86.67%的站点极不舒适日数呈显著减少趋势;约56.67%的站点较不舒适日数倾向率呈显著增加趋势(p<0.05)。1982—2020年黄土高原年NDVI总体呈现出积极的增长趋势,53.33%的站点NDVI与气候舒适程度呈现显著或极显著正相关。[结论] 黄土高原1981—2020年气候舒适度不同季节空间分异明显,研究区总体气候舒适程度有所改善;NDVI值的增加与气候舒适程度提高存在同步变化。通过生态修复有望提高黄土高原区域气候舒适度。
[Objective] The distribution of climate comfortability and its spatiotemporal variations on the Loess Plateau were studied
and the correlation of comfortable climate with vegetation cover was analyzed
in order to provide insights into the environmental impacts of ecological restoration and the mechanisms for realizing the value of ecological products. [Methods] Based on the daily monitoring data of meteorological stations in the Loess Plateau from 1981 to 2020
the temporal and spatial variation of climate comfortability in the Loess Plateau was evaluated by using the temperature and humidity index. On this basis
the relationship between NDVI and climate comfortability around the site was quantitatively evaluated by using PKU GIMMS NDVI data. [Results] ① The climatic comfort period (very comfortable and comfortable) exceeded 135 days per annum in the central part of the Loess Plateau. The northwest experienced longer summer comfort periods
whereas the southeast experienced longer spring and autumn comfort periods. The northwest exhibited more uncomfortable days annually than the southeast
with fewer days categorized as less uncomfortable or uncomfortable. ② The climatic comfort period on the Loess Plateau accounts for 35.46% of the annual days
primarily from May to September. The period of climate discomfort (relatively comfortable
uncomfortable
and very uncomfortable) accounted for 64.54% of the days in a year and mainly occurred from October to the April of the following year. Extreme discomfort was the predominant climatic comfortability type in the Loess Plateau
representing 27.59% of the total days
mainly occurring from November to February. ③ The degree of climate comfort significantly or highly significantly increased at 85% of the stations on the Loess Plateau (p<0.05)
with climate comfortability highly significantly increasing at 66.67% of the stations (p<0.01). The number of comfortable days significantly increased at 21.67% of the stations
with the largest increase occurring at Wutaishan station in Shanxi Province (18.89 days per 10 years). The number of extremely uncomfortable days significantly decreased at 86.67% of the sites
and the number of less comfortable days significantly increased at 56.67% of the sites (p<0.05). The annual NDVI of the Loess Plateau exhibited significant increasing trend from 1982 to 2020
with a significant or highly significant positive correlation between the NDVI and the degree of climate comfortability at 53.33% of the sites. [Conclusion] The climate comfort spatially varied across the seasons on the Loess Plateau from 1981 to 2020. Overall
the climate comfort ability increased in the study area. The increase in NDVI values was synchronized with the increase in climate comfortability. Ecological restoration shows the potential to further elevate regional climate comfortability.
Chen Xin, Gao Lixin, Xue Puning, et al. Investigation of outdoor thermal sensation and comfort evaluation methods in severe cold area [J]. The Science of the Total Environment, 2020,749:141520.
Serrao-Neumann S, Schuch G, Harman B, et al. One human settlement: A transdisciplinary approach to climate change adaptation research [J]. Futures, 2015,65:97-109.
Tumini I, Higueras García E, Baereswyl Rada S. Urban microclimate and thermal comfort modelling:strategies for urban renovation [J]. International Journal of Sustainable Building Technology and Urban Development, 2016,7(1):22-37.
Di Napoli C, Pappenberger F, Cloke H L. Assessing heat-related health risk in Europe via the Universal Thermal Climate Index (UTCI) [J]. International Journal of Biometeorology, 2018,62(7):1155-1165.
Rupp R F, Vásquez N G, Lamberts R. A review of human thermal comfort in the built environment [J]. Energy and Buildings, 2015,105:178-205.
Ge Quansheng, Kong Qinqin, Xi Jianchao, et al. Application of UTCI in China from tourism perspective [J]. Theoretical and Applied Climatology, 2017,128(3):551-561.
米志付,张浩然.IPCC AR6 WGIII报告解读: 城市系统减缓气候变化[J].气候变化研究进展,2023,19(2):139-150. Mi Zhifu, Zhang Haoran. Interpretation of IPCC AR6 report: Climate change mitigation of urban systems [J]. Climate Change Research, 2023,19(2):139-150.
Song Xuping, Wang Shigong, Hu Yuling, et al. Impact of ambient temperature on morbidity and mortality: An overview of reviews [J]. The Science of the Total Environment, 2017,586:241-254.
Buzan J R, Huber M. Moist heat stress on a hotter earth [J]. Annual Review of Earth and Planetary Sciences, 2020,48:623-655.
Thom E C. The discomfort index [J]. Weatherwise, 1959,12(2):57-61.
Ciobotaru A M, Andronache I, Dey N, et al. Temperature-humidity index described by fractal Higuchi dimension affects tourism activity in the urban environment of Focani City (Romania) [J]. Theoretical and Applied Climatology, 2019,136(3):1009-1019.
Zhang Jintao, Ren Guoyu, You Qinglong. Detection and projection of climatic comfort changes in China’s mainland in a warming world [J]. Advances in Climate Change Research, 2022,13(4):507-516.
Chen Yiping, Wang Kaibo, Lin Yishan, et al. Balancing green and grain trade [J]. Nature Geoscience, 2015,8(10):739-741.10,1038/ngeo2544.
张宝庆,田磊,赵西宁,等.植被恢复对黄土高原局地降水的反馈效应研究[J].中国科学(地球科学),2021,51(7):1080-1091. Zhang Baoqing, Tian Lei, Zhao Xining, et al. Feedbacks between vegetation restoration and local precipitation over the loess plateau in China [J]. Scientia Sinica (Terrae),2021,51(7):1080-1091.
Zeng Zhenzhong, Piao Shilong, Li L Z X, et al. Climate mitigation from vegetation biophysical feedbacks during the past three decades [J]. Nature Climate Change, 2017,7:432-436.
Dong Lingbo, Li Jiwei, Zhang Yu, et al. Effects of vegetation restoration types on soil nutrients and soil erodibility regulated by slope positions on the Loess Plateau [J]. Journal of Environmental Management, 2022,302:113985.
Lü Yihe, Fu Bojie, Feng Xiaoming, et al. A policy-driven large scale ecological restoration: Quantifying ecosystem services changes in the Loess Plateau of China [J]. PLoS One, 2012,7(2):e31782.
Li Muyi, Cao Sen, Zhu Zaichun, et al. Spatiotemporally consistent global dataset of the GIMMS normalized difference vegetation index (PKU GIMMS NDVI) from 1982 to 2022[J]. Earth System Science Data, 2023,15(9):4181-4203.
胡毅.应用气象学[M].2版.北京:气象出版社,2005. Hu Yi, Li Ping, Yang Jiangong, et al. Applied Meteorology [M]. 2nd ed. Beijing: Meteorological Press, 2005.
刘清春,王铮,许世远.中国城市旅游气候舒适性分析[J].资源科学,2007,29(1):133-141. Liu Qingchun, Wang Zheng, Xu Shiyuan. Climate suitability index for city tourism in China [J]. Resources Science, 2007,29(1):133-141.
李秋,仲桂清.环渤海地区旅游气候资源评价[J].干旱区资源与环境,2005,19(2):149-153. Li Qiu, Zhong Guiqing. Evaluation on climate resource for tourism in the region around Bohai [J]. Journal of Arid Land Resources & Environment, 2005,19(2):149-153.
康雄,曹俊涛,陈成,等.不同趋势法的宁夏长时序植被变化分析[J].测绘通报,2020(11):23-27. Kang Xiong, Cao Juntao, Chen Cheng, et al. Analysis of long-term vegetation change in Ningxia with different trend methods [J]. Bulletin of Surveying and Mapping, 2020(11):23-27.
蔚丹丹,李山.气候舒适度的体感分级: 季节锚点法与中国案例[J].自然资源学报,2019,34(8):1633-1653. Yu Dandan, Li Shan. Scale of human thermal sensation using seasonal anchor method: A Chinese case study [J]. Journal of Natural Resources, 2019,34(8):1633-1653.
赵俊虎,宋文玲,柯宗建.2019/2020年冬季我国暖湿气候特征及成因分析[J].气象,2020,46(7):982-993. Zhao Junhu, Song Wenling, Ke Zongjian. Characteristics and causes analysis of the warm and wet winter in China in 2019/2020[J]. Meteorological Monthly, 2020,46(7):982-993.
杜懿,王大刚,祝金鑫.基于CMIP5的中国西北地区暖湿化演变研究[J].水资源与水工程学报,2021,32(5):61-69. Du Yi, Wang Dagang, Zhu Jinxin. Study on warming and humidification evolution in Northwest China based on CMIP5[J]. Journal of Water Resources and Water Engineering, 2021,32(5):61-69.
郑景云,卞娟娟,葛全胜,等.1981—2010年中国气候区划[J].科学通报,2013,58(30):3088-3099. Zheng Jingyun, Bian Juanjuan, Ge Quansheng, et al. The climate regionalization in China for 1981—2010[J]. Chinese Science Bulletin, 2013,58(30):3088-3099.
Wang Yuhang, Brandt M, Zhao Mingfei, et al. Major forest increase on the Loess Plateau, China (2001—2016) [J]. Land Degradation & Development, 2018,29(11):4080-4091.
傅伯杰,刘彦随,曹智,等.黄土高原生态保护和高质量发展现状、问题与建议[J].中国科学院院刊,2023,38(8):1110-1117. Fu Bojie, Liu Yansui, Cao Zhi, et al. Current conditions,issues,and suggestions for ecological protection and high-quality development in Loess Plateau [J]. Bulletin of Chinese Academy of Sciences, 2023,38(8):1110-1117.
Zhang Xuezhen, Zhang Zefan, Song Shuaifeng. Modulation of vegetation restoration on outdoor thermal comfort over the Loess Plateau,China from 1982 to 2015[J]. Environmental Research Communications, 2021,3(1):015002.
Rosselló J, Becken S, Santana-Gallego M. The effects of natural disasters on international tourism: A global analysis [J]. Tourism Management, 2020,79:104080.
Zhou Shumin, Zhang Luying, Lu Senlin, et al. Ambient particulate matter-associated autophagy alleviates pulmonary inflammation induced by
Platanus
pollen protein 3(Pla3) [J]. The Science of the Total Environment, 2021,758:143696.
Wu Feifei, Yang Xiaohua, Shen Zhenyao. Regional and seasonal variations of outdoor thermal comfort in China from 1966 to 2016[J]. The Science of the Total Environment, 2019,665:1003-1016.
Feng Li, Liu Yanxia, Feng Zhaozhong, et al. Analysing the spatiotemporal characteristics of climate comfort in China based on 2005—2018 MODIS data [J]. Theoretical and Applied Climatology, 2021,143(3):1235-1249.
Willett K M, Sherwood S. Exceedance of heat index thresholds for 15 regions under a warming climate using the wet-bulb globe temperature [J]. International Journal of Climatology, 2012,32(2):161-177.
0
浏览量
1
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621