搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

干旱区不同下垫面能量分配机理及对微气候反馈的研究

李宏宇 符淙斌 郭维栋 马芳

引用本文:
Citation:

干旱区不同下垫面能量分配机理及对微气候反馈的研究

李宏宇, 符淙斌, 郭维栋, 马芳

Study of energy partitioning and its feedback on the microclimate over different surfaces in an arid zone

Li Hong-Yu, Fu Cong-Bin, Guo Wei-Dong, Ma Fang
PDF
导出引用
  • 本文利用位于美国新墨西哥州距离接近并且天气背景相同的四种下垫面(沙漠草原、稀疏灌木林、稀树草原和浓密灌木林)站点的通量观测资料, 探讨了几种典型干旱下垫面的能量分配差异, 并分析了其对微气候的反馈机理. 结果表明, 四种下垫面叶面积指数和粗糙度在由沙漠草原指向浓密灌木林的梯度方向上呈现增加的趋势, 低覆盖度下垫面表现出更强的湍流输送阻力. 总体来看, 高覆盖度下垫面的净辐射、感热和潜热相对更高, 尤其在生长季更明显. 利用Penman-Monteith公式以及净辐射结合波文比两种方法诊断了在不同下垫面更替中湍流通量各影响因子的贡献. 随着植被覆盖程度的提高, 净辐射的变化对感热和潜热的变化起着决定作用, 且为正贡献; 地表阻抗和空气动力学阻抗变化引起的贡献相反. 此外, 沙漠草原和稀疏灌木林的地表温度和气温均高于浓密灌木林, 主要源于稀疏植被增大的空气动力学阻抗和波文比引起的增温贡献, 同时抵消了净辐射减小引起的降温效应, 表明在相同气候和天气背景下, 不同下垫面的陆面过程确实会对近地层微气候有明显的反馈作用.
    Model simulations show that land use and land cover changes(LUCC) may alter surface energy budget and influence surface microclimate, but up to now, it still lacks of sufficient observations for explaining the mechanism of climate change brought about by LUCC. Grasslands and shrub lands are typical land covers in the mid-latitude arid zone of the northern hemisphere. The data used in this paper was collected from four sites which are related to grassland, open shrubland, savanna and closed shrubland, and all located in New Mexico, USA. The four sites are near each other and have the same background in climate and weather. Thus, the difference in surface energy partitioning over the four surfaces is induced by different land processes, which was explained in our study. The paper also analyzed the feedbacks of different land surface parameters and energy partitioning for the surface microclimate.We find that the leaf area index(LAI) and surface roughness of the four sites increases from the desert grassland to the closed shrubland. The difference in vegetation structures and functions also affects aerodynamic resistance and surface resistance to heat transfer and the resistances exhibit larger over sparse surfaces. Generally, the sites with high vegetation cover have higher net radiation, sensible and latent heat fluxes, particularly in the growing season. In addition, the contributions of impacting factors to the turbulent fluxes are diagnosed by Penman-Monteith equation and a mathematical formula combining net radiation with Bowen ratio. Compared to the desert grassland, the variations in net radiation over other three surfaces indicate positive contributions to both sensible and latent heat fluxes and govern their changes. The variations in the aerodynamic resistance and the surface resistance lead to opposite contributions. Besides, both radiative surface temperature and surface air temperature over the sparse surfaces are significantly higher than that over the closed shrubland. Larger aerodynamic resistance and Bowen ratio over the sparse vegetation dominate the warming trend accompanying the vegetation degradation and simultaneously offset the cooling effect induced by the decrease in net radiation, showing the land surface process over different surfaces factually has an evident feedback on surface micro-climate in the same climate and weather background.
    • 基金项目: 国家重点基础研究发展规划(批准号: 2011CB952002)资助的课题.
    • Funds: Project supported by the State Key Development Program for Basic Research of China (Grant No. 2011CB952002).
    [1]

    Shao P, Zeng X D 2012 Climatic Environ. Res. 17 103 (in Chinese) [邵璞, 曾晓东 2012 气候与环境研究 17 103]

    [2]

    Fu C B, An Z S 2002 Earth Sci. Front. 9 271 (in Chinese) [符淙斌, 安芷生 2002 地学前缘 9 271]

    [3]

    DeFries R, Houghton R., Hansen M 2002 Proc. Natl. Acad. Sci. U.S.A. 99 14256

    [4]

    Brown M, Black T A, Nesic Z, Foord V N, Spittlehouse D L, Fredeen A L, Grant N J, Burton P J, Trofymow J A 2010 Agri. Forest Meteorol. 150 254

    [5]

    Randerson J T, Liu H, Flanner M G 2006 Chambers S D, Jin Y, Hess P G Science 314 1130

    [6]

    International Panel on Climate Change. Climate Change 2013 the Physical Science Basis. Working Group 1 Contribution to the Fifth Assessment Report of the International Panel on Climate Change. International Panel on Climate Change, Cambridge, New York, 2013

    [7]

    Bounoua L, DeFries R, Collatz G J, Sellers P, Khan H 2002 Climatic Change 52 29

    [8]

    Werth D, Avissar R. 2002 J. Geophys. Res. 107 8087

    [9]

    Mcalpine C A, Syktus J, Ryan J G, Deo R C, Mckeon G M 2009 Glob. Change Biol. 15 2206

    [10]

    Gao X J, Luo Y, Lin W T Zhao ZC, Giorgi F 2003 Adv. Atmos. Sci. 20 583

    [11]

    Fu C B, Yuan H L 2001 Chinese Sci. Bull. 46 1199

    [12]

    Pitman A J, Noblet D N, Cruz F T, Davin E L, Bonan G B 2009 Geophys. Res. Lett. 36 L14814

    [13]

    Kalnay E, Cai M 2003 Nature 423 528

    [14]

    Trenberth K E 2004 Nature 427 213

    [15]

    Baldocchi D, Falge E, Gu L H, Olson R, Hollingger D, Running S, Anthoni P 2001 Bull. Amer. Meteor. Soc. 82 2415

    [16]

    Lee X, Goulden M L, Hollinger D Y 2011 Nature 479 384

    [17]

    Zhang Q, Wang S 2005 Acta Ecol. Sin. 25 2459 (in Chinese) [张强, 王胜 2005 生态学报 25 2459]

    [18]

    Zhang Q, Wei G A 2003 J. Desert Res. 23 82 (in Chinese) [张强, 卫国安 2003 中国沙漠 23 82]

    [19]

    Feng J W, Liu H Z, Wang L, Du Q, Shi L Q 2012 Sci. China Earth Sci. 55 254

    [20]

    Zhao Q F, Guo W D, Ling X L, Liu Y, Wang G Y, Xie J 2013 Climatic Environ. Res. 18 415 (in Chinese) [赵钱飞, 郭维栋, 凌肖露, 刘野, 王国印, 解静 2013 气候与环境研究 18 415]

    [21]

    Yuan H, Dai Y, Xiao Z, Ji D Y, Shangguan W 2011 Remote Sens. Environ. 115 1171

    [22]

    Chen J Y, Wang J M, Yasushi M 1993 Chin J. Atmos. Sci. 17 21 (in Chinese) [陈家宜, 王介民, 光田宁 1993 大气科学 17 21]

    [23]

    Baldocchi D, Ma S Y 2013 Tellus B 65 19994

    [24]

    Monteith J L 1965 Symp. Soc. Exp. Biol. 19 205

    [25]

    Wang K, Dickinson R E 2012 Rev. Geophys. 50 RG2005.

    [26]

    Li H Y, Zhang Q, Shi J S, Zhao J H, Wang S 2012 Acta Meteor Sin 70 1137 (in Chinese) [李宏宇, 张强, 史晋森, 赵建华, 王胜 2012 气象学报 70 1137]

    [27]

    Huang R H, Zhou D G, Chen W, Zhou L T, Wei Z G, Zhang Q, Gao X Q, Wei G A, Hou X H 2013 Chin J Atmos Sci 37 189 (in Chinese) [黄荣辉, 周德刚, 陈文, 周连童, 韦志刚, 张强, 高晓清, 卫国安, 侯旭宏 2013 大气科学 37 189]

    [28]

    Yue P, Zhang Q, Zhao W, Wang J S, Wang R Y, Yao Y B, Wang S, Hao X C, Yang F L, Wang R A 2013 Acta Phys. Sin. 62 209201 (in Chinese) [岳平, 张强, 赵文, 王劲松, 王润元, 姚玉璧, 王胜, 郝小翠, 阳伏林, 王若安 2013 62 209201]

    [29]

    Zhu D Q, Gao X Q, Chen W 2006 J Desert Res 26 466 (in Chinese) [朱德琴, 高晓清, 陈文 2006 中国沙漠 26 466]

    [30]

    Fang Y L, Sun S F, Li Q 2010 Chin J Atmos Sci 34 290 (in Chinese) [房云龙, 孙菽芬, 李倩 2010 大气科学 34 290]

    [31]

    Yang K, Guo X F, Wu B Y 2011 Sci China Earth Sci 54 19

    [32]

    Chen Y, Yang K, He J, Qin J, Shi J C, Du J Y, He Q 2011 J. Geophys. Res. 116 D20104

    [33]

    Zhang Q, Wang S, Wei G A 2003 Chin J Geophys 46 616 (in Chinese) [张强, 王胜, 卫国安 2003 地球 46 616]

    [34]

    Yao T, Zhang Q 2014 Acta Phys. Sin. 63 089201 (in Chinese) [姚彤, 张强 2014 63 089201]

    [35]

    Feng C, Gu S, Zhao L, Xu S X, Zhou H K, Li Y N, Xu W X, Wu L B 2010 Plateau Meteorology 29 70 (in Chinese) [冯超, 古松, 赵亮, 徐世晓, 周华坤, 李英年, 徐维新, 吴力博 2010 高原气象 29 70]

    [36]

    Zhang Q, Zhao Y D, Wang S, Ma F 2007 Adv Earth Sci 22 1150 (in Chinese) [张强, 赵映东, 王胜, 马芳 2007 地球科学进展 22 1150]

    [37]

    Hu Z, Yu G R, ZhouY L, Sun X M, Li Y N 2009 Agr. Forest Meteorol. 149 1410

    [38]

    Wilson K B, Baldocchi D, Aubinet M 2002 Water Resour. Res. 38 1294

    [39]

    Wilson K B, Baldocchi D 2000 Agri. Forest Meteorol. 00 1

    [40]

    Min Q 1992 Meteor Mon 18 17 (in Chinese) [闵骞 1992 气象 18 17]

    [41]

    Fu C B 2003 Glob Planet Change 37 219

    [42]

    Stoy P C, Katul G G, Siqueira M B S 2006 Glob. Change Biol. 12 2115

    [43]

    Liu H, Randerson J T 2008 J. Geophys. Res. 113 G01006.

    [44]

    Houghton R A 1995 Glob Change Biol 1 275

    [45]

    Churkina G, Brown D G, Keoleian G 2010 Glob Change Biol 16 135

    [46]

    Li S, Zhong Z 2014 Chin. Phys. B 23 029201

    [47]

    Ran L K, Yang W X, Chu Y L 2010 Chin. Phys. B 19 079201

  • [1]

    Shao P, Zeng X D 2012 Climatic Environ. Res. 17 103 (in Chinese) [邵璞, 曾晓东 2012 气候与环境研究 17 103]

    [2]

    Fu C B, An Z S 2002 Earth Sci. Front. 9 271 (in Chinese) [符淙斌, 安芷生 2002 地学前缘 9 271]

    [3]

    DeFries R, Houghton R., Hansen M 2002 Proc. Natl. Acad. Sci. U.S.A. 99 14256

    [4]

    Brown M, Black T A, Nesic Z, Foord V N, Spittlehouse D L, Fredeen A L, Grant N J, Burton P J, Trofymow J A 2010 Agri. Forest Meteorol. 150 254

    [5]

    Randerson J T, Liu H, Flanner M G 2006 Chambers S D, Jin Y, Hess P G Science 314 1130

    [6]

    International Panel on Climate Change. Climate Change 2013 the Physical Science Basis. Working Group 1 Contribution to the Fifth Assessment Report of the International Panel on Climate Change. International Panel on Climate Change, Cambridge, New York, 2013

    [7]

    Bounoua L, DeFries R, Collatz G J, Sellers P, Khan H 2002 Climatic Change 52 29

    [8]

    Werth D, Avissar R. 2002 J. Geophys. Res. 107 8087

    [9]

    Mcalpine C A, Syktus J, Ryan J G, Deo R C, Mckeon G M 2009 Glob. Change Biol. 15 2206

    [10]

    Gao X J, Luo Y, Lin W T Zhao ZC, Giorgi F 2003 Adv. Atmos. Sci. 20 583

    [11]

    Fu C B, Yuan H L 2001 Chinese Sci. Bull. 46 1199

    [12]

    Pitman A J, Noblet D N, Cruz F T, Davin E L, Bonan G B 2009 Geophys. Res. Lett. 36 L14814

    [13]

    Kalnay E, Cai M 2003 Nature 423 528

    [14]

    Trenberth K E 2004 Nature 427 213

    [15]

    Baldocchi D, Falge E, Gu L H, Olson R, Hollingger D, Running S, Anthoni P 2001 Bull. Amer. Meteor. Soc. 82 2415

    [16]

    Lee X, Goulden M L, Hollinger D Y 2011 Nature 479 384

    [17]

    Zhang Q, Wang S 2005 Acta Ecol. Sin. 25 2459 (in Chinese) [张强, 王胜 2005 生态学报 25 2459]

    [18]

    Zhang Q, Wei G A 2003 J. Desert Res. 23 82 (in Chinese) [张强, 卫国安 2003 中国沙漠 23 82]

    [19]

    Feng J W, Liu H Z, Wang L, Du Q, Shi L Q 2012 Sci. China Earth Sci. 55 254

    [20]

    Zhao Q F, Guo W D, Ling X L, Liu Y, Wang G Y, Xie J 2013 Climatic Environ. Res. 18 415 (in Chinese) [赵钱飞, 郭维栋, 凌肖露, 刘野, 王国印, 解静 2013 气候与环境研究 18 415]

    [21]

    Yuan H, Dai Y, Xiao Z, Ji D Y, Shangguan W 2011 Remote Sens. Environ. 115 1171

    [22]

    Chen J Y, Wang J M, Yasushi M 1993 Chin J. Atmos. Sci. 17 21 (in Chinese) [陈家宜, 王介民, 光田宁 1993 大气科学 17 21]

    [23]

    Baldocchi D, Ma S Y 2013 Tellus B 65 19994

    [24]

    Monteith J L 1965 Symp. Soc. Exp. Biol. 19 205

    [25]

    Wang K, Dickinson R E 2012 Rev. Geophys. 50 RG2005.

    [26]

    Li H Y, Zhang Q, Shi J S, Zhao J H, Wang S 2012 Acta Meteor Sin 70 1137 (in Chinese) [李宏宇, 张强, 史晋森, 赵建华, 王胜 2012 气象学报 70 1137]

    [27]

    Huang R H, Zhou D G, Chen W, Zhou L T, Wei Z G, Zhang Q, Gao X Q, Wei G A, Hou X H 2013 Chin J Atmos Sci 37 189 (in Chinese) [黄荣辉, 周德刚, 陈文, 周连童, 韦志刚, 张强, 高晓清, 卫国安, 侯旭宏 2013 大气科学 37 189]

    [28]

    Yue P, Zhang Q, Zhao W, Wang J S, Wang R Y, Yao Y B, Wang S, Hao X C, Yang F L, Wang R A 2013 Acta Phys. Sin. 62 209201 (in Chinese) [岳平, 张强, 赵文, 王劲松, 王润元, 姚玉璧, 王胜, 郝小翠, 阳伏林, 王若安 2013 62 209201]

    [29]

    Zhu D Q, Gao X Q, Chen W 2006 J Desert Res 26 466 (in Chinese) [朱德琴, 高晓清, 陈文 2006 中国沙漠 26 466]

    [30]

    Fang Y L, Sun S F, Li Q 2010 Chin J Atmos Sci 34 290 (in Chinese) [房云龙, 孙菽芬, 李倩 2010 大气科学 34 290]

    [31]

    Yang K, Guo X F, Wu B Y 2011 Sci China Earth Sci 54 19

    [32]

    Chen Y, Yang K, He J, Qin J, Shi J C, Du J Y, He Q 2011 J. Geophys. Res. 116 D20104

    [33]

    Zhang Q, Wang S, Wei G A 2003 Chin J Geophys 46 616 (in Chinese) [张强, 王胜, 卫国安 2003 地球 46 616]

    [34]

    Yao T, Zhang Q 2014 Acta Phys. Sin. 63 089201 (in Chinese) [姚彤, 张强 2014 63 089201]

    [35]

    Feng C, Gu S, Zhao L, Xu S X, Zhou H K, Li Y N, Xu W X, Wu L B 2010 Plateau Meteorology 29 70 (in Chinese) [冯超, 古松, 赵亮, 徐世晓, 周华坤, 李英年, 徐维新, 吴力博 2010 高原气象 29 70]

    [36]

    Zhang Q, Zhao Y D, Wang S, Ma F 2007 Adv Earth Sci 22 1150 (in Chinese) [张强, 赵映东, 王胜, 马芳 2007 地球科学进展 22 1150]

    [37]

    Hu Z, Yu G R, ZhouY L, Sun X M, Li Y N 2009 Agr. Forest Meteorol. 149 1410

    [38]

    Wilson K B, Baldocchi D, Aubinet M 2002 Water Resour. Res. 38 1294

    [39]

    Wilson K B, Baldocchi D 2000 Agri. Forest Meteorol. 00 1

    [40]

    Min Q 1992 Meteor Mon 18 17 (in Chinese) [闵骞 1992 气象 18 17]

    [41]

    Fu C B 2003 Glob Planet Change 37 219

    [42]

    Stoy P C, Katul G G, Siqueira M B S 2006 Glob. Change Biol. 12 2115

    [43]

    Liu H, Randerson J T 2008 J. Geophys. Res. 113 G01006.

    [44]

    Houghton R A 1995 Glob Change Biol 1 275

    [45]

    Churkina G, Brown D G, Keoleian G 2010 Glob Change Biol 16 135

    [46]

    Li S, Zhong Z 2014 Chin. Phys. B 23 029201

    [47]

    Ran L K, Yang W X, Chu Y L 2010 Chin. Phys. B 19 079201

  • [1] 宋萌萌, 周前红, 孙强, 张含天, 杨薇, 董烨. 电子散射和能量分配方式对电子输运系数的影响.  , 2021, 70(13): 135101. doi: 10.7498/aps.70.20202021
    [2] 余波, 尹传盛, 孙传奎, 侯立飞, 宋天明, 杜华冰, 关赞洋, 张文海, 袁铮, 李朝光, 董云松, 蒋炜, 黄天晅, 蒲昱东, 晏骥, 陈忠靖, 杨家敏, 江少恩. 单端驱动银球腔的激光能量耦合和分配.  , 2019, 68(23): 235201. doi: 10.7498/aps.68.20191026
    [3] 延明月, 张旭, 刘晨昊, 黄仁忠, 高天附, 郑志刚. 反馈脉冲棘轮的能量转化效率研究.  , 2018, 67(19): 190501. doi: 10.7498/aps.67.20181066
    [4] 孙凌, 郄秀书, Edward R. Mansell, 陈志雄, 徐燕, 蒋如斌, 孙竹玲. 雷暴云内电场力对起电和电荷结构的反馈作用.  , 2018, 67(16): 169201. doi: 10.7498/aps.67.20180505
    [5] 朱攀丞, 边庆勇, 李晋斌. 欧拉圆盘不同能量耗散机理之间的关联.  , 2015, 64(17): 174501. doi: 10.7498/aps.64.174501
    [6] 夏露, 张强. 黄土高原地表能量平衡分量年际变化及其对气候波动的响应.  , 2014, 63(11): 119201. doi: 10.7498/aps.63.119201
    [7] 姚彤, 张强. 我国北方不同类型下垫面地表反照率特征.  , 2014, 63(8): 089201. doi: 10.7498/aps.63.089201
    [8] 宋健, 杨联贵, 刘全生. 缓变下垫面和耗散作用的非线性Rossby波.  , 2014, 63(6): 060401. doi: 10.7498/aps.63.060401
    [9] 杨锦辉, 宋君强, 曹小群. 季节因素对气候网络影响研究.  , 2013, 62(2): 029203. doi: 10.7498/aps.62.029203
    [10] 吴浩, 侯威, 颜鹏程. 试用临界慢化原理探讨气候突变.  , 2013, 62(3): 039206. doi: 10.7498/aps.62.039206
    [11] 岳平, 张强, 李耀辉, 王润元, 王胜, 孙旭映. 半干旱草原下垫面动量和感热总体输送系数参数化关系研究.  , 2013, 62(9): 099202. doi: 10.7498/aps.62.099202
    [12] 岳平, 张强, 赵文, 王劲松, 王润元, 姚玉壁, 王胜, 郝小翠, 阳伏林, 王若安. 云和降水扰动对黄土高原半干旱草地辐射收支及能量分配的影响.  , 2013, 62(20): 209201. doi: 10.7498/aps.62.209201
    [13] 张强, 黄菁, 张良, 张立阳. 黄土高原区域气候暖干化对地表能量交换特征的影响.  , 2013, 62(13): 139202. doi: 10.7498/aps.62.139202
    [14] 吴浩, 封国林, 侯威, 颜鹏程. 中国不同区域气候突变的前兆信号.  , 2013, 62(5): 059202. doi: 10.7498/aps.62.059202
    [15] 张强, 李宏宇, 张立阳, 岳平, 史晋森. 陇中黄土高原自然植被下垫面陆面过程及其参数对降水波动的气候响应.  , 2013, 62(1): 019201. doi: 10.7498/aps.62.019201
    [16] 岳平, 张强, 牛生杰, 王润元, 孙旭映, 王胜. 草原下垫面湍流动量和感热相似性函数及总体输送系数的特征.  , 2012, 61(21): 219201. doi: 10.7498/aps.61.219201
    [17] 钱忠华, 侯威, 杨萍, 封国林. 最概然温度背景下不同气候态中国夏冬季极端温度事件时空分布特征.  , 2011, 60(10): 109204. doi: 10.7498/aps.60.109204
    [18] 王启光, 张增平. 近似熵检测气候突变的研究.  , 2008, 57(3): 1976-1983. doi: 10.7498/aps.57.1976
    [19] 何文平, 封国林, 高新全, 李建平. 无反馈作用下混沌系统的振幅死亡.  , 2006, 55(11): 6192-6196. doi: 10.7498/aps.55.6192
    [20] 王养璞. Ising自旋S=1,具有次近邻相互作用的面心立方格子的反铁磁体在外场下的基态能量.  , 1983, 32(7): 875-887. doi: 10.7498/aps.32.875
计量
  • 文章访问数:  6165
  • PDF下载量:  591
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-07-19
  • 修回日期:  2014-10-14
  • 刊出日期:  2015-03-05

/

返回文章
返回
Baidu
map