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中国沙漠 ›› 2003, Vol. 23 ›› Issue (1): 63-66.

• 研究论文 • 上一篇    下一篇

沙区绿化对区域气候影响的数值模拟研究

姜大膀1,2, 王式功1, 郎咸梅1,2, 董光荣3, 尚可政1, 杨德保1   

  1. 1. 兰州大学 资源环境学院, 甘肃 兰州 730000;
    2. 中国科学院 大气物理研究所, 北京 100029;
    3. 中国科学院 寒区旱区环境与工程研究所, 甘肃 兰州 730000
  • 收稿日期:2001-05-18 修回日期:2001-08-15 出版日期:2003-02-20 发布日期:2003-02-20
  • 通讯作者: 王式功
  • 作者简介:姜大膀(1974-),男(汉族),吉林四平人,博士生,主要从事气候数值模拟和空气污染预报研究。
  • 基金资助:
    国家重点基础研究发展规划项目(G2000048703);国家自然科学基金重大项目(39990490)资助

Influence of Afforestation on Climate in Desert Region of China

JIANG Da-bang1,2, WANG Shi-gong1, LANG Xian-mei1,2, DONG Guang-rong3, SHANG Ke-zheng1, YANG De-bao1   

  1. 1. School of Resources and Environment, Lanzhou University, Lanzhou 730000, China;
    2. LASG, Institute of Atmospheric physics, Chinese Academy of Sciences, Beijing 100029, China;
    3. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2001-05-18 Revised:2001-08-15 Online:2003-02-20 Published:2003-02-20

摘要: 利用GCM-SSiB全球大气环流谱模式,设计两组数值模拟试验(即控制试验(CE)和绿化面积扩大试验(GE))。研究了大陆绿化对我国区域气候变化的影响。模拟结果表明:沙区绿化后,年平均地表温度升高,海平面气压下降,纬向风速减弱、夏季风增强,冬季风减弱,夏季低空上升运动加强,冬季下沉运动减弱,降雨量显著增加,低层大气比湿、地表蒸发量、感热及潜热通量亦增加。绿化后气候趋向暖湿,极有利于生态环境建设和荒漠化的进一步治理。

关键词: 绿化, 区域气候变化, 数值试验

Abstract: The GCM-SSiB global spectral model has been used to study the influence of afforestation in China land on regional climate.Two numerical experiments were set up.The results show that widen afforestation made annual mean surface air temperature higher,sea level pressure lower,low level zonal wind velocity weaker,the summer monsoon stronger,the winter monsoon weaker,updraft motion stronger in the summer and downdraft motion weaker in the winter,precipitation increased obviously,low level atmosphere specific humidity,surface evaporation flux,sensible heat flux and latent heat flux increased obviously.Regional climate will incline to be warm and humid after afforestation.Afforestation is in favor of ecology environment construction and controlling desertification.

Key words: afforestation, regional climate, numerical experiment

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