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Analysis of water vapour flux between alpine wetlands underlying surface and atmosphere in thesource region of the Yellow River

机译:黄河源区高寒湿地下垫面与大气间水汽通量分析。

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摘要

An underlying wetland surface comprises soil, water and vegetation and is sensitive to local climate change. Analysis of the degree of coupling between wetlands and the atmosphere and a quantitative assessment of how environmental factors influence latent heat flux have considerable scientific significance. Using data from observational tests of the Maduo Observatory of Climate and Environment of the Northwest Institute of Eco-Environment and Resource, CAS, from June 1 to August 31, 2014, this study analysed the time-varying characteristics and causes of the degree of coupling (Ω factor) between alpine wetlands underlying surface and the atmosphere and quantitatively calculated the influences of different environmental factors (solar radiation and vapour pressure deficit) on latent heat flux. The results were as follows: (1) Due to diurnal variations of solar radiation and wind speed, a trend developed where diurnal variations of the Ω factor were small in the morning and large in the evening. Due to the vegetation growing cycle, seasonal variations of the Ω factor present a reverse "U" trend. These trends are similar to the diurnal and seasonal variations of the absolute control exercised by solar radiation over latent heat flux. This conforms to the Omega Theory. (2) The values for average absolute atmospheric factor (surface factor or total) control exercised by solar radiation and water vapour pressure are 0.20 (0.02 or 0.22) and 0.005 (?0.07 or ?0.06) W/(m2·Pa), respectively. Generally speaking, solar radiation and water vapour pressure deficit exert opposite forces on latent heat flux. (3) At the underlying alpine wetland surface, solar radiation primarily influences latent heat flux through its direct effects (atmospheric factor controls). Water vapour pressure deficit primarily influences latent heat flux through its indirect effects (surface factor controls) on changing the surface resistance. (4) The average Ω factor in the underlying alpine wetland surface is high during the vegetation growing season, with a value of 0.38, and the degree of coupling between alpine wetland surface and atmosphere system is low. The actual measurements agree with the Omega Theory. The latent heat flux is mainly influenced by solar radiation.
机译:潜在的湿地表面包括土壤,水和植被,并且对当地的气候变化敏感。分析湿地与大气之间的耦合程度以及定量评估环境因素如何影响潜热通量具有重要的科学意义。利用中科院西北生态环境与资源研究所马多气候与环境观测站2014年6月1日至8月31日的观测数据,分析了耦合度的时变特征及其成因。 (Ω因子)在高山湿地下面的表面和大气之间,并定量计算了不同环境因素(太阳辐射和蒸气压亏空)对潜热通量的影响。结果如下:(1)由于太阳辐射和风速的日变化,Ω因子的日变化在早晨小而在晚上大。由于植被的生长周期,Ω因子的季节性变化呈现出相反的“ U”趋势。这些趋势类似于太阳辐射对潜热通量进行绝对控制的昼夜变化。这符合欧米茄理论。 (2)通过太阳辐射和水蒸气压力控制的平均绝对大气因子(表面因子或总因子)控制值分别为0.20(0.02或0.22)和0.005(Δ0.07或Δ0.06)W /(m2·Pa)。 。一般来说,太阳辐射和水蒸气压力不足会对潜热通量产生相反的作用力。 (3)在下面的高山湿地表面,太阳辐射主要通过其直接作用(大气因素控制)影响潜热通量。水蒸气压力不足主要通过其对改变表面电阻的间接影响(表面因素控制)来影响潜热通量。 (4)在植被生长期,潜在高山湿地表面的平均Ω因子较高,值为0.38,高山湿地表面与大气系统之间的耦合度较低。实际测量结果符合欧米茄理论。潜热通量主要受太阳辐射的影响。

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  • 来源
    《寒旱区科学(英文版)》 |2018年第4期|305-316|共12页
  • 作者单位

    Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    College of Atmospheric Sciences, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China;

    Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

    Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

    Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 03:41:28
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