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新疆典型绿洲冷岛和湿岛效应强度

杜铭霞,张明军**,王圣杰   

  1. (西北师范大学地理与环境科学学院, 兰州 730070)
  • 出版日期:2015-06-10 发布日期:2015-06-10

The cold island and wet island effects of typical oases in Xinjiang.

DU Ming-xia, ZHANG Ming-jun**, WANG Sheng-jie   

  1. (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)
  • Online:2015-06-10 Published:2015-06-10

摘要:

基于2012年4月1日至2014年3月31日新疆典型绿洲(天山北坡西段绿洲、焉耆盆地绿洲、哈密盆地绿洲和叶尔羌河流域绿洲)与周边荒漠沙漠区的79个自动气象站日最高气温、最低气温、平均气温、降水量和降水日数,定量分析了不同研究区的冷岛和湿岛效应强度。结果表明:(1)天山北坡西段绿洲冷岛和湿岛效应均存在但表现强度较弱。(2)焉耆盆地绿洲冷岛效应明显,湿岛效应在降水日数和降水量指标上均有体现但强度较弱。(3)哈密盆地绿洲冷岛效应在夏、秋季最低气温和秋、冬季平均气温指标上表现明显,湿岛效应在四季降水日数上体现明显,秋季降水量回归拟合结果较好。(4)叶尔羌河流域绿洲的冷岛效应春、夏、秋季比冬季明显,湿岛效应春夏两季比秋冬两季显著。

 

关键词: 地理环境, 冗余分析, 种源, 叶功能性状, 逐步线性回归分析

Abstract:

Based on the daily data of maximum temperature (tmax), minimum temperature (tmin), average temperature (tave), precipitation amount (p) and days (D) obtained from 79 automatic weather stations in the typical oases (including the oasis of the western section of the northern slope of the Tianshan Mountains, the Yanqi Basin Oasis, the Hami Basin Oasis and the Yarkant River Basin Oasis) and surrounding regions in Xinjiang from April 1, 2012 to March 31, 2014, the cold island and wet island effects were analyzed quantitatively. The results showed that: (1) Both cold island and wet island effects existed in the oasis of the western section of the northern slope of the Tianshan Mountains but presented weakly. (2) There was an obvious cold island effect in Yanqi Basin Oasis. The wet island effect could be seen from p and D, but it was weak. (3) The cold island effect in the Hami Basin Oasis was obvious on the indexes of tmin in summer and autumn and tave in autumn and winter. The wet island effect could be seen obviously from D in four seasons. The result of p regression analysis in autumn was good. (4) In the Yarkant River Basin Oasis, the cold island effects in spring, summer and autumn were stronger than in winter. The wet island effects in spring and summer were more obvious than in autumn and winter.
 

Key words: leaf functional trait, redundancy analysis, geographical environment, provenance., stepwise linear regression analysis