天气与应用气候

1951—2020年阿富汗气候变化特征分析

展开
  • 中国气象局乌鲁木齐沙漠气象研究所/中国气象局树木年轮理化研究重点实验室/新疆树木年轮生态实验室,新疆 乌鲁木齐 830002
迪丽努尔·托列吾别克(1990-),女,助理研究员,主要从事干旱区气候变化研究. E-mail: delnur9@126.com

收稿日期: 2022-01-06

  修回日期: 2022-04-07

  网络出版日期: 2022-09-26

基金资助

国家自然基金项目(42171038);国家自然基金项目(U1903113);新疆气象局引导性计划项目(YD202207)

Spatiotemporal characteristics of climate change in Afghanistan from 1951 to 2020

Expand
  • Institute of Desert Meteorology, China Meteorological Administration/Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration/Xinjiang Key Laboratory of Tree-Ring Ecology, Urumqi 830002, Xinjiang, China

Received date: 2022-01-06

  Revised date: 2022-04-07

  Online published: 2022-09-26

摘要

基于最新CRU TS V4.05格点资料,系统分析了1951—2020年阿富汗气候要素时空变化特征。结果表明:(1) 阿富汗自西南向东北部分别为极端干旱、干旱、干旱-半湿润和湿润气候区,年平均气温及潜在蒸散量自西南部锡斯坦盆地向东北部瓦罕走廊地区递减,年降水量呈递增的空间分布。(2) 近70 a,阿富汗年及四季平均气温表现为全区一致性地增加且西部增温率大于东部,其中春季的增温幅度最大;阿富汗降水量区域间及季节差异性大,年降水量呈微弱减少趋势[-0.43 mm·(10a)-1],空间表现为自西南向东北呈“减少-增加-减少”变化;降水集中的冬、春季,降水量为减少趋势。(3) 阿富汗潜在蒸散量大,1951—2020年呈显著的增加[5.59 mm·(10a)-1],而空间变化与降水相反,中部兴都库什山年潜在蒸散量呈减少趋势;春、夏和秋季潜在蒸散量增加,冬季减少。(4) 近70 a以来,干湿指数(AI)表征阿富汗干湿气候变化趋势不明显,以年际变化为主;空间变化表现为阿富汗西南部极端干旱的锡斯坦盆地干旱加剧,中部兴都库什山经历了“暖湿”化,而降水量最集中的瓦罕走廊地区呈“暖干”化;春季平均AI减小幅度最大,加剧了阶段性干旱风险。21世纪以来,阿富汗经历了气候暖湿化的时期,气温略增加,降水量急剧增多,而潜在蒸散量明显减小,尤以春季变化最为显著,这将对该地区农业生产、冰冻圈风险及水资源管理带来挑战。

本文引用格式

迪丽努尔·托列吾别克,姚俊强,毛炜峄,李淑娟,陈静,马丽云 . 1951—2020年阿富汗气候变化特征分析[J]. 干旱区研究, 2022 , 39(4) : 1036 -1046 . DOI: 10.13866/j.azr.2022.04.05

Abstract

The fragile ecosystems of Afghanistan, in the southern arid region of Central Asia, are greatly affected by climate change. In this study, we systematically analyzed the change in the average climate of Afghanistan from 1951 to 2020, in terms of both temporal and spatial patterns, using updated CRU TS V4.05 high-resolution gridded data. Results indicate that the extremely arid, arid, semihumid, and humid climate zones of Afghanistan are distributed from the southwest to the northeast. The annual average air temperature and potential evapotranspiration decreased from the Sistan Basin in the southwest to the Wakhan Corridor in the northeast. By contrast, the annual average precipitation increased. The annual and seasonal average temperature increased consistently, with the most substantial warming over the past 70 years occurring in the western part of Afghanistan; the greatest increase in the seasonal average temperature was in the spring. The data indicated strong spatial heterogeneity in precipitation as well as large seasonal differences. There was a slight decrease in the annual precipitation [-0.43 mm·(10a)-1] over the study period and a “decrease-increase-decrease” trend in the spatial distribution changes, from the southwest to the northeast. The precipitation was concentrated in winter and spring. From 1951 to 2020, the trend in the potential evapotranspiration in Afghanistan was a significantly upward trend, with a rate of 5.59 mm·(10a)-1. Annual potential evapotranspiration was found to have decreased over the central region of Afghanistan. Although there were seasonal differences, potential evapotranspiration tended to increase in the spring, summer, and autumn and decrease in the winter. Analysis of the aridity index (AI) revealed interannual variations in the climate of Afghanistan. Drought had intensified in the extremely arid Sistan Basin in the southwest, whereas warmer and wetter weather occurred in the central Hindu Kush region, and the Wahan Corridor area was generally warmer and dryer. The average AI decreased substantially in the spring, leading to the risk of staged drought. Generally, since the beginning of the 21st century, Afghanistan has experienced a slight increase in temperature, a sharp increase in precipitation, and a significant decrease in annual potential evapotranspiration. The region experienced warming and wetting stages, most notably in the spring. In conclusion, all of these changes pose risks and challenges to agricultural production, the cryosphere, and water management.

参考文献

[1] 王会军. 气候变化研究与环境和发展问题紧密相扣[J]. 科学通报, 2016, 61(10): 1027-1028.
[1] [Wang Huijun. Climate change research in closely linked to environmental and development issues[J]. Chinese Science Bulletin, 2016, 61(10): 1027-1028.]
[2] IPCC. Summary for Policy Makers of Climate Change 2021:The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[M]. Cambridge: Cambridge University Press, 2021.
[3] 姜大膀, 王娜. IPCC AR6报告解读: 水循环变化[J]. 气候变化研究进展, 2021, 17(6): 699-704.
[3] [Jiang Dabang, Wang Na. Water cycle changes: Interpretation of IPCC AR6[J]. Climate Change Research, 2021, 17(6): 699-704.]
[4] National Environmental Protection Agency and United Nations Environment Programme[R]. Afghanistan: Climate Change Science Perspectives. Kabul, 2016.
[5] Surma J, Assonov S, Bolourchi M J, et al. Triple oxygen isotope signatures in evaporated water bodies from the Sistan Oasis, Iran[J]. Geophysical Research Letters, 2015, 42: 8456-8462.
[6] Sharifikia M. Environmental challenges and drought hazard assessment of Hamoun Desert Lake in Sistan region, Iran, based on the time series of satellite imagery[J]. Natural Hazards, 2013, 65: 201-217.
[7] United Nations Environment Programme (UNEP). History of Environmental Change in the Sistan Basin[R]. UNEP, Geneva, Switzerland, 2006.
[8] Rehana S, Reddy P K, Reddy N S B, et al. Observed Spatio-Temporal Trends of Precipitation and Temperature Over Afghanistan. In book: Climate Change Impacts on Water Resources[M]. Water Science and TechnologyLibrary, Spring Cham, 2021: 98.
[9] Aliyar Q, Dhungana S, Shrestha S. Spatio-temporal trend mapping of precipitation and its extremes across Afghanistan (1951-2010)[J]. Theoretical and Applied Climatology, 2022, 147: 605-626.
[10] Yao J Q, Mao W Y, Chen J, et al. Recent signal and impact of wet-to-dry climatic shift in Xinjiang, China[J]. Journal of Geographical Sciences, 2021, 31: 1283-1298.
[11] Qutbudin I, Shiru M S, Sharafati A, et al. Seasonal drought pattern changes due to climate variability: Case study in Afghanistan[J]. Water, 2019, 11: 1096.
[12] Peterson T C, Vose R S. An overview of the global historical climatology network temperature database[J]. Bulletin of the American Meteorological Society, 1997, 78(12): 2837-2849.
[13] Menne M J, Williams C N, Gleason B E, et al. The global historical climatology network monthly temperature dataset, Version 4[J]. Journal of Climate, 2018, 31(24): 9835-9854.
[14] Harris I, Osborn T J, Jones P, et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset[J]. Scientific Data, 2020, 7: 109, doi: 10.1038/s41597-020-0453-3.
[15] Allen R G, Pereira L S, Raes D, et al. Crop Evapotranspiration Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper 56[M]. Rome: United Nations Food and Agriculture Organization, 1998: 15-86.
[16] 闫昕旸, 张强, 张文波, 等. 泛中亚干旱区气候变化特征分析[J]. 干旱区研究, 2021, 38(1): 1-11.
[16] [Yan Xinyang, Zhang Qiang, Zhang Wenbo, et al. Analysis of climate characteristics in the Pan-Central-Asia arid region[J]. Arid Zone Research, 2021, 38(1): 1-11.]
[17] 陈发虎, 黄伟, 靳立亚, 等. 全球变暖背景下中亚干旱区降水变化特征及其空间差异[J]. 中国科学: 地球科学, 2011, 41(11): 1647-1657.
[17] [Chen Fahu, Huang Wei, Jin Liya, et al. Spatiotemporal precipitation variations in the arid Central Asia in the context of global warming[J]. Scientia Sinica(Terrae), 2011, 41(11): 1647-1657.]
[18] 于志翔, 于晓晶, 杨帆. 近40 a中巴经济走廊气候变化时空分布特征[J]. 干旱区研究, 2021, 38(3): 695-703.
[18] [Yu Zhixiang, Yu Xiaojing, Yang Fan. Spatio-temporal characteristics of climate change in China-Pakistan Economic Corridor from 1980 to 2019[J]. Arid Zone Research, 2021, 38(3): 695-703.]
[19] 闻新宇, 王绍武, 朱锦红, 等. 英国CRU高分辨率格点资料揭示的20世纪中国气候变化[J]. 大气科学, 2006, 30(5): 894-904.
[19] [Wen Xinyu, Wang Shaowu, Zhu Jinhong, et al. An overview of China climate change over the 20th Century using UK UEA/CRU high resolution grid data[J]. Chinese Journal of Atmospheric Sciences, 2006, 30(5): 894-904.]
[20] 黄秋霞, 赵勇, 何清. 基于CRU资料的中亚地区气候特征[J]. 干旱区研究, 2013, 30(3): 396-403.
[20] [Huang Qiuxia, Zhao Yong, He Qing. Climatic characteristics in Central Asia based on CRU data[J]. Arid Zone Research, 2013, 30(3): 396-403.]
[21] 张乐园, 王弋, 陈亚宁. 基于SPEI指数的中亚地区干旱时空分布特征[J]. 干旱区研究, 2020, 37(2): 282-290.
[21] [Zhang Leyuan, Wang Yi, Chen Yaning. Spatial and temporal distribution characteristics of drought in Central Asia based on SPEI index[J]. Arid Zone Research, 2020, 37(2): 282-290.]
[22] 姚俊强, 李漠岩, 迪丽努尔·托列吾别克, 等. 不同时间尺度下新疆气候“暖湿化”特征[J]. 干旱区研究, 2022, 39(2): 333-346.
[22] [Yao Junqiang, Li Moyan, Dilinuer Tuoliewubieke, et al. The assessment on “warming-wetting” trend in Xinjiang at multi-scale during 1961-2019[J]. Arid Zone Research, 2022, 39(2): 333-346.]
[23] 魏凤英. 现代气候统计诊断与预测技术(第二版)[M]. 北京: 气象出版社, 2007.
[23] [Wei Fengying. Modern Climatic Statistical Diagnosis and Prediction Technology[M]. 2nd ed. Beijing: China Meteorological Press, 2007.]
[24] Huang J P, Ji M X, Xie Y K, et al. Global semi-arid climate change over last 60 years[J]. Climate Dynamics, 2016, 46: 1131-1150.
[25] 程善俊, 梁苏洁. 基于3种指数的全球干湿变化年代际特征[J]. 干旱气象, 2018, 36(2): 176-184.
[25] [Cheng Shanjun, Liang Sujie. Interdecadal characteristics of global dry-wet variation based on three indexes[J]. Journal of Arid Meteorology, 2018, 36(2): 176-184.]
[26] Tuoliewubieke D, Yao J Q, Chen J, et al. Regional Drying and wetting trends over Central Asia based on Köppen climate classification in 1961-2015[J]. Advances in Climate Change Research, 2021, 12(3): 363-372.
[27] UN(United Nations). United Nations Convention to Combat Desertification[R]. Geneva, Switzerland, 1994.
[28] Stockholm Environment Institute. Socio-Economic Impacts of Climate Change in Afghanistan[R]. Stockholm Environment Institute, Stockholm, 2009.
[29] 史继清, 豆永丽, 杨霏云, 等. 西藏地区潜在蒸散量时空格局特征及影响因素研究[J]. 干旱区研究, 2021, 38(3): 724-732.
[29] [Shi Jiqing, Dou Yongli, Yang Feiyun, et al. Temporal and spatial pattern characteristics of potential evapotranspiration in Tibet and its influencing factors[J]. Arid Zone Research, 2021, 38(3): 724-732.]
文章导航

/