青藏高原地表土壤水变化、影响因子及未来预估

doi:10.11821/dlxb201903009

地理学报 ›› 2019, Vol. 74 ›› Issue (3): 520-533.doi: 10.11821/dlxb201903009

所属专题：气候变化与地表过程

青藏高原地表土壤水变化、影响因子及未来预估

范科科^1,^2,³(), 张强^1,^2,³(), 孙鹏⁴, 宋长青^1,^2,³, 朱秀迪^1,^2,³, 余慧倩^1,^2,³, 申泽西^1,^2,³

1. 北京师范大学环境演变与自然灾害教育部重点实验室,北京 100875
2. 北京师范大学地表过程与资源生态国家重点实验室,北京 100875
3. 北京师范大学地理科学学部,减灾与应急管理研究院,北京 100875
4. 安徽师范大学地理与旅游学院,芜湖 241002

收稿日期:2017-08-31 修回日期:2018-12-08 出版日期:2019-03-25 发布日期:2019-03-19
作者简介:
范科科(1995-), 男, 河南驻马店人, 博士研究生, 主要从事生态水文和遥感水文等方面的研究。E-mail: fankk95@hotmail.com
基金资助:
国家自然科学基金委创新群体项目(41621061);国家杰出青年科学基金项目(51425903);国家自然科学基金项目(41771536, 41601023)

Variation, causes and future estimation of surface soil moisture on the Tibetan Plateau

Keke FAN^1,^2,³(), Qiang ZHANG^1,^2,³(), Peng SUN⁴, Changqing SONG³, Xiudi ZHU^1,^2,³, Huiqian YU^1,^2,³, Zexi SHEN^1,^2,³

1. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
2. Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China
3. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
4. College of Geography and Tourism, Anhui Normal University, Wuhu 241002, Anhui, China

Received:2017-08-31 Revised:2018-12-08 Online:2019-03-25 Published:2019-03-19
Supported by:
Creative Research Groups of National Natural Science Foundation of China, No.41621061;National Science Foundation for Distinguished Young Scholars of China, No.51425903;National Natural Science Foundation of China, No.41771536, No.41601023

摘要/Abstract

摘要：

土壤水分是地表和大气连接的纽带,在水文循环中扮演着重要角色。青藏高原作为“第三极”和“亚洲水塔”,其土壤水分对周边地区的气候如亚洲季风的形成和维持产生重要影响,也深刻影响着亚洲水资源的可利用量。基于分布在青藏高原3个气候区的100个站点的实测土壤水数据,对ECV、ERA、MERRA、Noah数据集进行评价,选择对土壤水分评估效果最好的数据集,分析各种气象要素对土壤水分时空格局的影响,并预估未来100年内青藏高原土壤水变化,探讨可能气候成因。结果表明：① Noah数据集对青藏高原历史时期土壤水分评估效果最好,相对其他地区,各数据集对那曲地区土壤水分评估效果最优;② 在各种气象因子中,降水是影响大部分地区土壤水分时空变化的最主要因子,但在喜马拉雅山脉地带,尤其山脉北坡,温度和太阳辐射有较高的影响;③ 1948-1970年土壤水分有明显的下降趋势,1970-1990年土壤水分呈波动变化,无明显趋势,1990-2005年土壤水分有一定的上升趋势,2005年后至今土壤水分有明显快速下降趋势：④ 不同未来情景,土壤水分有下降趋势,其中在CRP 8.5情景下,土壤水分下降最为明显,在2080年之后有更加显著的下降趋势;⑤ 未来降水和温度均呈上升趋势,其中干旱指数变化在RCP 8.5情景下呈下降趋势,在RCP 2.6和RCP 4.5情景下无明显变化,干旱指数在一定程度上能解释未来土壤水分的变化格局。

关键词: 青藏高原, 土壤水, 干旱指数, 气候情景, 气候模式

Abstract:

Soil moisture is the link between the land surface and the atmosphere, which plays an important role in the hydrological cycle. As the "Third Pole" and "Asian Water Tower", the Tibetan Plateau has an important influence on the climate of the surrounding areas such as the formation and maintenance of the Asian monsoon and it also profoundly affects the availability of Asian water resources. Based on the measured soil moisture data from 100 stations distributed in the three climate zones on the Tibetan Plateau, this paper assesses the ECV, ERA, MERRA and Noah datasets, selects the best evaluated dataset for surface soil moisture, and analyzes the influence of various meteorological factors on spatial and temporal patterns of soil moisture changes. Finally, the paper evaluates the changes of surface soil moisture during the next about 100 years and explores possible climate causes. The results show that: (1) The Noah dataset has the best assessment of surface soil moisture in the Qinghai-Tibet Plateau during the historical period. Among all the regions, Naqu obtains the best assessment of surface soil moisture in each dataset. (2) Among various meteorological factors, precipitation is the most important factor affecting the temporal and spatial patterns of soil moisture in most areas, but the temperature and solar radiation have a relatively high impact in the Himalayas, especially on the north slope of the mountains. (3) The surface soil moisture had a significant downward trend from 1948 to 1970. However, it did not fluctuate obviously from 1970 to 1990. From 1990 to 2005, there existed a certain upward trend. Conversely, it has a rapid downward trend since 2005. (4) There is a downward trend for surface soil moisture in different future scenarios. Compared with the RCP2.6 and RCP4.5 scenarios, the soil moisture declines obviously with a more significant downward trend after 2080 under the RCP8.5 scenerio. (5) In the future, both precipitation and temperature show an upward trend. There was a downward trend for the drought index in the RCP8.5 scenario, whereas, there is no significant change under the RCP2.6 and RCP4.5 scenarios. The drought index can explain the change of surface soil moisture in the future to a certain extent.

Key words: Tibetan Plateau, soil moisture, drought index, climate scenario, GCM

范科科, 张强, 孙鹏, 宋长青, 朱秀迪, 余慧倩, 申泽西. 青藏高原地表土壤水变化、影响因子及未来预估[J]. 地理学报, 2019, 74(3): 520-533.

Keke FAN, Qiang ZHANG, Peng SUN, Changqing SONG, Xiudi ZHU, Huiqian YU, Zexi SHEN. Variation, causes and future estimation of surface soil moisture on the Tibetan Plateau[J]. Acta Geographica Sinica, 2019, 74(3): 520-533.

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参考文献 44

[1]	Albergel C, Dorigo W, Reichle R H, et al.Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing. Journal of Hydrometeorology, 2013, 14(4): 1259-1277. doi: 10.1175/JHM-D-12-0161.1
[2]	Wanders N, Bierkens M F P, de Jong S M, et al. The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. Water Resources Research, 2014, 50(8): 6874-6891. doi: 10.1002/wrcr.v50.8
[3]	Crowther T W, Todd-Brown K E O, Rowe C W, et al. Quantifying global soil carbon losses in response to warming. Nature, 2016, 540(7631): 104-108. doi: 10.1038/nature20150 pmid: 27905442
[4]	Zeng J, Li Z, Chen Q, et al.Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations. Remote Sensing of Environment, 2015, 163: 91-110. doi: 10.1016/j.rse.2015.03.008
[5]	Guo Weidong, Ma Zhuguo, Yao Yonghong.Regional characteristics of soil moisture evolution in northern China over recent 50 years. Acta Geographica Sinica, 2003, 58(Suppl.1): 83-90. doi: 10.3321/j.issn:0375-5444.2003.z1.010
	[郭维栋, 马柱国, 姚永红. 近50年中国北方土壤水分的区域演变特征. 地理学报, 2003, 58(Suppl.1): 83-90.] doi: 10.3321/j.issn:0375-5444.2003.z1.010
[6]	Fan Keke, Zhang Qiang, Shi Peijun, et al.Evaluation of remote sensing and reanalysis soil moisture products on the Tibetan Plateau. Acta Geographica Sinica, 2018, 73(9): 1778-1791. doi: 10.11821/dlxb201809013
	[范科科, 张强, 史培军, 等. 基于卫星遥感和再分析数据的青藏高原土壤湿度数据评估. 地理学报, 2018, 73(9): 1778-1791.] doi: 10.11821/dlxb201809013
[7]	Shukla J, Mintz Y.Influence of land-surface evapotranspiration on the earth's climate. Science, 1982, 215(4539): 1498-1501. doi: 10.1126/science.215.4539.1498 pmid: 17788673
[8]	Wang C, Dong W, Wei Z.Anomaly feature of seasonal frozen soil variations on the Qinghai-Tibet Plateau. Journal of Geographical Sciences, 2002, 12(1): 99-107. doi: 10.1007/BF02837433
[9]	Nicolai-Shaw N.Climate Research Applications of Remote-sensing Based Soil Moisture: Spatial Representativeness, Predictability and Drought Response. Zurich: ETH Zurich, 2016.
[10]	Koster R D, Schubert S D, Suarez M J.Analyzing the concurrence of meteorological droughts and warm periods, with implications for the determination of evaporative regime. Journal of Climate, 2009, 22(12): 3331-3341. doi: 10.1175/2008JCLI2718.1
[11]	Jaeger E B, Seneviratne S I.Impact of soil moisture-atmosphere coupling on European climate extremes and trends in a regional climate model. Climate Dynamics, 2011, 36(9/10): 1919-1939. doi: 10.1007/s00382-010-0780-8
[12]	Seneviratne S I, Wilhelm M, Stanelle T, et al.Impact of soil moisture-climate feedbacks on CMIP5 projections: First results from the GLACE-CMIP5 experiment. Geophysical Research Letters, 2013, 40(19): 5212-5217. doi: 10.1002/grl.50956
[13]	Hirschi M, Mueller B, Dorigo W, et al.Using remotely sensed soil moisture for land-atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability. Remote Sensing of Environment, 2014, 154: 246-252. doi: 10.1016/j.rse.2014.08.030
[14]	Whan K, Zscheischler J, Orth R, et al.Impact of soil moisture on extreme maximum temperatures in Europe. Weather and Climate Extremes, 2015, 9: 57-67. doi: 10.1016/j.wace.2015.05.001
[15]	Taylor C M, de Jeu R A M, Guichard F, et al. Afternoon rain more likely over drier soils. Nature, 2012, 489(7416): 423. doi: 10.1038/nature11377 pmid: 22972193
[16]	Guillod B P, Orlowsky B, Miralles D G, et al.Reconciling spatial and temporal soil moisture effects on afternoon rainfall. Nature Communications, 2015, 6: 6443. doi: 10.1038/ncomms7443 pmid: 25740589
[17]	Ahlström A, Raupach M R, Schurgers G, et al.The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science, 2015, 348(6237): 895-899. doi: 10.1126/science.aaa1668 pmid: 25999504
[18]	Miralles D G, Teuling A J, Van Heerwaarden C C, et al. Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation. Nature Geoscience, 2014, 7(5): 345. doi: 10.1038/ngeo2141
[19]	Hauser M, Orth R, Seneviratne S I.Role of soil moisture versus recent climate change for the 2010 heat wave in western Russia. Geophysical Research Letters, 2016, 43(6): 2819-2826. doi: 10.1002/2016GL068036
[20]	Chen Y, Yang K, Qin J, et al.Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 2013, 118(10): 4466-4475. doi: 10.1002/jgrd.50295
[21]	Zhang L, Su F, Yang D, et al.Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 2013, 118(15): 8500-8518. doi: 10.1002/jgrd.50665
[22]	Ye Qingyu, Chai Linna, Jiang Lingmei, et al.A disaggregation approach for soil phase transition water content using AMSR2 and MODIS products. Journal of Remote Sensing, 2014, 18(6): 1147-1157. doi: 10.11834/jrs.20144093
	[叶勤玉, 柴琳娜, 蒋玲梅, 等. 利用AMSR2 和 MODIS 数据的土壤冻融相变水量降尺度方法. 遥感学报, 2014, 18(6): 1147-1157.] doi: 10.11834/jrs.20144093
[23]	Zhang Y, Li T, Wang B.Decadal change of the spring snow depth over the Tibetan Plateau: The associated circulation and influence on the East Asian summer monsoon. Journal of Climate, 2004, 17(14): 2780-2793. doi: 10.1175/1520-0442(2004)017<2780:DCOTSS>2.0.CO;2
[24]	Ding Y, Sun Y, Wang Z, et al.Inter-decadal variation of the summer precipitation in China and its association with decreasing Asian summer monsoon Part II: Possible causes. International Journal of Climatology, 2009, 29(13): 1926-1944. doi: 10.1002/joc.1615
[25]	Zhu Liping, Xie Manping, Wu Yanhong.Quantitative analysis of lake area variations and the influence factors from 1971 to 2004 in the Nam Co Basin of the Tibetan Plateau. Chinese Science Bulletin, 2010, 55(18): 1789-1798.
	[朱立平, 谢曼平, 吴艳红. 西藏纳木错1971-2004年湖泊面积变化及其原因的定量分析. 科学通报, 2010, 55(18): 1789-1798.]
[26]	Nie Yong, Zhang Yili, Liu Linshan, et al.Monitoring glacier change based on remote sensing in the Mt. Qomolangma national nature preserve, 1976-2006. Acta Geographica Sinica, 2010, 65(1): 13-28. doi: 10.11821/xb201001003
	[聂勇, 张镱锂, 刘林山, 等. 近30年珠穆朗玛峰国家自然保护区冰川变化的遥感监测. 地理学报, 2010, 65(1): 13-28.] doi: 10.11821/xb201001003
[27]	Subin Z M, Koven C D, Riley W J, et al.Effects of soil moisture on the responses of soil temperatures to climate change in cold regions. Journal of Climate, 2013, 26(10): 3139-3158. doi: 10.1175/JCLI-D-12-00305.1
[28]	Chen Y, Yang K, Qin J, et al.Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 2013, 118(10): 4466-4475. doi: 10.1002/jgrd.50295
[29]	Su Z, Wen J, Dente L, et al.The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products. Hydrology and Earth System Sciences, 2011, 15(7): 2303-2316. doi: 10.5194/hess-15-2303-2011
[30]	Su Z, Rosnay P, Wen J, et al.Evaluation of ECMWF's soil moisture analyses using observations on the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 2013, 118(11): 5304-5318. doi: 10.1002/jgrd.50468
[31]	Zeng J, Li Z, Chen Q, et al.Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations. Remote Sensing of Environment, 2015, 163: 91-110. doi: 10.1016/j.rse.2015.03.008
[32]	Bi H, Ma J, Zheng W, et al.Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 2016, 121(6): 2658-2678. doi: 10.1002/2015JD024131
[33]	Chakravorty A, Chahar B R, Sharma O P, et al.A regional scale performance evaluation of SMOS and ESA-CCI soil moisture products over India with simulated soil moisture from MERRA-Land. Remote Sensing of Environment, 2016, 186: 514-527. doi: 10.1016/j.rse.2016.09.011
[34]	Yang K, He J, Tang W, et al.On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau. Agricultural and Forest Meteorology, 2010, 150(1): 38-46. doi: 10.1016/j.agrformet.2009.08.004
[35]	Durbin J, Koopman S J.Time Series Analysis by State Space Methods. Oxford: Oxford University Press, 2012.
[36]	Sakamoto Y, Ishiguro M, Kitagawa G.Akaike Information Criterion Statistics. Dordrecht, The Netherlands: D. Reidel, 1986: 81.
[37]	Tao S, Fang J, Zhao X, et al.Rapid loss of lakes on the Mongolian Plateau. Proceedings of the National Academy of Sciences, 2015, 112(7): 2281-2286. doi: 10.1073/pnas.1411748112 pmid: 25646423
[38]	Nakagawa S, Schielzeth H.A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology & Evolution, 2013, 4(2): 133-142.
[39]	Zhang Q, Xu C Y, Chen Y D, et al.Abrupt behaviors of the streamflow of the Pearl River Basin and implications for hydrological alterations across the Pearl River Delta, China. Journal of Hydrology, 2009, 377(3/4): 274-283. doi: 10.1016/j.jhydrol.2009.08.026
[40]	Hipel K W, McLeod A I. Time Series Modelling of Water Resources and Environmental Systems. Elsevier, 1994.
[41]	McMahon T A, Peel M C, Lowe L, et al. Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis. Hydrology and Earth System Sciences, 2013, 17(4): 1331. doi: 10.5194/hess-17-1331-2013
[42]	Albergel C, Dorigo W, Reichle R H, et al.Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing. Journal of Hydrometeorology, 2013, 14(4): 1259-1277. doi: 10.1175/JHM-D-12-0161.1
[43]	Cheng S, Guan X, Huang J, et al.Long-term trend and variability of soil moisture over East Asia. Journal of Geophysical Research: Atmospheres, 2015, 120(17): 8658-8670. doi: 10.1002/2015JD023206
[44]	Fu Q, Feng S.Responses of terrestrial aridity to global warming. Journal of Geophysical Research: Atmospheres, 2014, 119(13): 7863-7875. doi: 10.1002/2014JD021608

数据集	时间	空间范围	空间分辨率(lon×lat)
ECV	1979-2014	全球	0.25°×0.25°
MERRA	1980-present	全球	0.625°×0.5°
ERA-Interm	1979-2016	全球	0.25°×0.25°
Noah_2.0(GLDAS)	1948-2010	准全球	0.25°×0.25°
Noah_2.1(GLDAS)	2000-	准全球	0.25°×0.25°
降水	1979-2016	中国	0.1°×0.1°
温度	1979-2016	中国	0.1°×0.1°
风速	1979-2016	中国	0.1°×0.1°
太阳辐射（SDSR）	1979-2016	中国	0.1°×0.1°

青藏高原地表土壤水变化、影响因子及未来预估

Variation, causes and future estimation of surface soil moisture on the Tibetan Plateau

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