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2019 , Vol. 34 >Issue 11: 2440 - 2453

DOI: https://doi.org/10.31497/zrzyxb.20191115

资源利用与管理

1961-2010年中国降水时空变化特征及对地表干湿状况影响

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  • 1. 中国科学院地理科学与资源研究所,陆地表层格局与模拟重点实验室,北京 100101;
    2. 中国科学院大学,北京 100049
陈洁（1994- ）,女,福建宁德人,博士研究生,主要从事气候变化影响与风险评估研究。E-mail: chenj.16s@igsnrr.ac.cn

收稿日期: 2019-05-13

  修回日期: 2019-08-31

  网络出版日期: 2019-11-28

基金资助

国家重点基础研究发展计划项目（2016YFA0602402）; 国家自然科学基金项目（41530749,41671107）; 中国科学院青年创新促进会会员项目（2016049）; 中国科学院前沿科学重点研究项目（QYZDBSSW-DQC005）; 中国科学院地理科学与资源研究所可桢杰出青年学者计划项目（2017RC101）

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Spatiotemporal variation of precipitation in China and its impact on surface dry-wet conditions during 1961-2010

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  • 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences (UCAS), Beijing 100049, China

Received date: 2019-05-13

  Revised date: 2019-08-31

  Online published: 2019-11-28

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摘要

开展气候变化背景下中国降水时空变化特征及对地表干湿状况影响研究,对揭示陆地表层系统对气候变化的动态响应与变化规律以及防灾减灾具有重要意义。基于1961-2010年地面气象观测资料,分析我国降水与地表干湿状况时空格局;在此基础上,采用敏感性与贡献度分析,定量评估降水变化对干湿状况的影响。结果表明：过去50年间我国年降水量呈轻微增加趋势,其中,青藏高原（高原亚寒带、高原温带）、西北（中温带西部、暖温带西部）和南方地区（亚热带、热带）呈增加趋势,东北（寒温带、中温带东部）和华北地区（中温带中东部、暖温带东部）呈减少趋势。就地表干湿状况而言,华北和东北地区以干旱化趋势为主,西北、青藏高原及南方地区主要呈湿润化趋势。地表干湿状况对降水变化响应较为敏感（全国多年平均敏感系数：-1.13）,干湿指数和降水呈负相关。内陆干旱地区降水对干湿状况变化的贡献高于湿润地区,局部地区降水贡献度超过60%。

关键词： 降水; 时空分异; 贡献度; 干湿; 气候变化; 敏感性

本文引用格式

陈洁, 刘玉洁, 潘韬, 吴绍洪, 谭清华, 葛全胜, 刘燕华 . 1961-2010年中国降水时空变化特征及对地表干湿状况影响[J]. 自然资源学报, 2019 , 34(11) : 2440 -2453 . DOI: 10.31497/zrzyxb.20191115

Abstract

Studying the spatiotemporal variation of precipitation in China under the backgr-ound of climate change and its impact on surface dry-wet conditions is of great significance in revealing the dynamic responses and changes of land surface systems to climate change and disaster prevention and mitigation. Based on measured meteorological data from 1961 to 2010, the spatiotemporal variations of precipitation and surface dry-wet conditions were analyzed. Furthermore, sensitivity and contribution analysis were used to quantify the impact of precipitation on dry-wet conditions. Results showed that the annual precipitation in national scale showed a slight increasing trend over the past 50 years, but the variations of annual precipitation in different temperature zones were significant, the Qinghai-Tibet Plateau (Plateau sub-cold zone and Plateau temperate zone), the northwestern (the west of both Medium temperate zone and Warm temperate zone) and southern regions of China (Subtropical zone and Tropical zone) showed an increasing trend, while the northeastern (Cold temperate zone and the east of Medium temperate zone) and northern regions of China (middle and east of Medium temperate zone and east of Warm temperate zone) showed a decreasing trend. In terms of dry-wet conditions, it varied greatly in different regions, the northern and northeastern regions of China got dried while the Qinghai-Tibet Plateau, the northwestern and the southern regions got wet. The dry-wet conditions were sensitive to the change of precipitation (mean annual sensitivity coefficient: -1.13). The dry-wet index was negatively correlated with precipitation. In the inland arid regions, precipitation contributed more to the change of dry and wet conditions than that in humid regions, and some of the regions exceeded 60%.

Key words： climate change; sensitive analysis; precipitation; dry-wet condition; spatiotemporal variation; contribution analysis

参考文献

[1] 吴绍洪, 尹云鹤, 樊杰, 等. 地域系统研究的开拓与发展. 地理研究, 2010, 29(9): 1538-1545.
[WU S H, YIN Y H, FAN J, et al.Retrospect and prospect of regionalization system of China. Geographical Research, 2010, 29(9): 1538-1545.]
[2] 刘昌明. 中国农业水问题: 若干研究重点与讨论. 中国生态农业学报, 2014, 22(8): 875-879.
[LIU C M.Agricultural water issues in China: Discussions on research highlights. Chinese Journal of Eco-Agriculture, 2014, 22(8): 875-879.]
[3] BHUTIYANI M R, KALE V S, PAWAR N J.Climate change and the precipitation variations in the Northwestern Himalaya: 1866-2006. International Journal of Climatology, 2010, 30(4): 535-548.
[4] VILLAFUERTE M Q, MATSUMOTO J.Significant influences of global mean temperature and ENSO on extreme rainfall in Southeast Asia. Journal of Climate, 2015, 28(5): 1905-1919.
[5] ASADIEH B, KRAKAUER N Y.Global trends in extreme precipitation: Climate models vs observations. Hydrology & Earth System Sciences Discussions, 2015, 11(11): 11369-11393.
[6] LI X, WANG X, BABOVIC V.Analysis of variability and trends of precipitation extremes in Singapore during 1980-2013. International Journal of Climatology, 2018, 38(1): 125-141.
[7] 李双双, 杨赛霓, 刘宪锋. 1960-2013年秦岭—淮河南北极端降水时空变化特征及其影响因素. 地理科学进展, 2015, 34(3): 354-363.
[LI S S, YANG S N, LIU X F.Spatiotemporal variability of extreme precipitation in north and south of the Qinling-Huaihe region and influencing factors during 1960-2015. Progress in Geography, 2015, 34(3): 354-363.]
[8] HUANG J, LIU F, XUE Y, et al.The spatial and temporal analysis of precipitation concentration and dry spell in Qinghai, Northwest China. Stochastic Environmental Research and Risk Assessment, 2015, 29(5): 1403-1411.
[9] ZHAO N, YUE T, LI H, et al.Spatio-temporal changes in precipitation over Beijing-Tianjin-Hebei region, China. Atmospheric Research, 2018, 202: 156-168.
[10] 王庆, 马倩倩, 夏艳玲, 等. 最近50年来山东地区夏季降水的时空变化及其影响因素研究. 地理科学, 2014, 34(2): 220-228.
[WANG Q, MA Q Q, XIA Y L, et al.Spatial-temporal variations and influential factors of summer precipitation in Shandong region during the last 50 years. Scientia Geographica Sinica, 2014, 34(2): 220-228.]
[11] HE C, LIN A, GU D, et al.Interannual variability of Eastern China summer rainfall: The origins of the meridional triple and dipole modes. Climate Dynamics, 2017, 48(1-2): 683-696.
[12] 王利平, 文明, 宋进喜, 等. 1961-2014年中国干燥度指数的时空变化研究. 自然资源学报, 2016, 31(9): 1488-1498.
[WANG L P, WEN M, SONG J X, et al.Spatial-temporal variation of aridity index during 1961-2014 in China. Journal of Natural Resources, 2016, 31(9): 1488-1498.]
[13] DU J, FANG J, XU W, et al.Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan province, China. Stochastic Environmental Research & Risk Assessment, 2013, 27(2): 377-387.
[14] 苏秀程, 王磊, 李奇临, 等. 近50 a中国西南地区地表干湿状况研究. 自然资源学报, 2014, 29(1): 104-116.
[SU X C, WANG L, LI Q L, et al.Study of surface dry and wet conditions in Southwest China in recent 50 years. Journal of Natural Resources, 2014, 29(1): 104-116.]
[15] 郑度. 中国生态地理区域系统研究. 北京: 商务印书馆, 2008: 6-31.
[ZHENG D.Study of China's Eco-geographical Region System. Beijing: The Commercial Press, 2008: 6-31.]
[16] 孟猛, 倪健, 张治国. 地理生态学的干燥度指数及其应用评述. 植物生态学报, 2004, 28(6): 853-861.
[MENG M, NI J, ZHANG Z G.Aridity index and its applications in geo-ecological study. Acta Phytoecologica Sinica, 2004, 28(6): 853-861.]
[17] 徐羽, 吴艳飞, 徐刚, 等. 长三角地区地表干湿状况及极端干湿事件特征研究. 自然资源学报, 2017, 32(9): 1579-1590.
[XU Y, WU Y F, XU G, et al.Characteristics of surface humidity and extreme drought/wet events in Yangtze River Delta. Journal of Natural Resources, 2017, 32(9): 1579-1590.]
[18] THORNTHWAITE C W.An approach toward a rational classification of climate. Geographical Review, 1948, 38(1): 55-94.
[19] PENMAN H L.Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London, 1948, 193(1032): 120-145.
[20] 刘珂, 姜大膀. 基于两种潜在蒸散发算法的SPEI对中国干湿变化的分析. 大气科学, 2015, 39(1): 23-36.
[LIU K, JIANG D B.Analysis of dryness/wetness over China using standardized precipitation evapotranspiration index based on two evapotranspiration algorithms. Chinese Journal of Atmospheric Sciences, 2015, 39(1): 23-36.]
[21] ALLEN R G, PEREIRA L S, RAES D, et al.Crop evapotranspiration-guidelines for computing crop water requirements: FAO Irrigation and Drainage Paper 56, FAO. Rome, 1998, 300(9): D05109. http://www.fao.org/3/X0490E/X0490E00.htm.
[22] HAMED K H.Exact distribution of the Mann-Kendall trend test statistic for persistent data. Journal of Hydrology, 2009, 365(1-2): 86-94.
[23] ZHAI L, FENG Q.Spatial and temporal pattern of precipitation and drought in Gansu province, Northwest China. Natural Hazards, 2009, 49(1): 1-24.
[24] ZARCH M A A, SIVAKUMAR B, SHARMA A. Droughts in a warming climate: A global assessment of standardized precipitation index (SPI) and reconnaissance drought index (RDI). Journal of Hydrology, 2015, 526: 183-195.
[25] BEVEN K.A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates. Journal of Hydrology, 1979, 44(3-4): 169-190.
[26] 胡琦, 董蓓, 潘学标, 等. 1961-2014 年中国干湿气候时空变化特征及成因分析. 农业工程学报, 2017, 33(6): 124-132.
[HU Q, DONG B, PAN X B, et al.Spatiotemporal variation and causes analysis of dry-wet climate over period of 1961-2014 in China. Transactions of the CSAE, 2017, 33(6): 124-132.]
[27] HE B, LYU A, WU J, et al.Drought hazard assessment and spatial characteristics analysis in China. Journal of Geographical Sciences, 2011, 21(2): 235-249.
[28] 任国玉, 战云健, 任玉玉, 等. 中国大陆降水时空变异规律: I 气候学特征. 水科学进展, 2015, 26(3): 299-310.
[REN G Y, ZHAN Y J, REN Y Y, et al.Spatial and temporal patterns of precipitation variability over mainland China: ⅠClimatology. Advances in Water Science, 2015, 26(3): 299-310.]
[29] WANG Q, WANG M, FAN X, et al.Trends of temperature and precipitation extremes in the Loess Plateau region of China, 1961-2010. Theoretical and Applied Climatology, 2017, 129(3-4): 949-963.
[30] WANG H, CHEN Y, CHEN Z.Spatial distribution and temporal trends of mean precipitation and extremes in the arid region, northwest of China, during 1960-2010. Hydrological Processes, 2013, 27(12): 1807-1818.
[31] HUANG J, SUN S, XUE Y, et al.Spatial and temporal variability of precipitation indices during 1961-2010 in Hunan province, Central South China. Theoretical and applied climatology, 2014, 118(3): 581-595.
[32] 张彦龙, 刘普幸. 基于AI指数的新疆干湿时空变化及其影响因素分析. 自然资源学报, 2016, 31(4): 658-671.
[ZHANG Y L, LIU P X.Study on temporal and spatial variation of the dry-wet and its influence factors in Xinjiang based on aridity index. Journal of Natural Resources, 2016, 31(4): 658-671.]
[33] SONG X, SONG S, SUN W, et al.Recent changes in extreme precipitation and drought over the Songhua River Basin, China, during 1960-2013. Atmospheric Research, 2015, 157: 137-152.
[34] DENG S, CHEN T, YANG N, et al. Spatial and temporal distribution of rainfall and drought characteristics across the Pearl River basin. Science of the Total Environment, 2018, 619-620: 28-41.
[35] 刘畅. 1961-2015年中国陆地干湿变化特征及成因分析. 兰州: 兰州大学, 2017.
[LIU C.Spatiotemporal variation of aridity in China during 1961-2015. Lanzhou: Lanzhou University, 2017.]
[36] 苑全治, 吴绍洪, 戴尔阜, 等. 1961-2015年中国气候干湿状况的时空分异. 中国科学: 地球科学, 2017, 47(11): 1339-1348.
[YUAN Q Z, WU S H, DAI E F, et al.Spatial-temporal variation of the wet-dry conditions from 1961 to 2015 in China. Science China Earth Science, 2017, 47(11): 1339-1348.]
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