荒漠-绿洲过渡带土壤温度变化分析
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  • 英文篇名:Variation of Soil Temperature in the Desert-Oasis Ecotone
  • 作者:缑倩倩 ; 李乔乔 ; 屈建军 ; 王国华
  • 英文作者:GOU Qian-qian;LI Qiao-qiao;QU Jian-jun;WANG Guo-hua;College of Geographic Sciences,Shanxi Normal University;College of Geography and Environmental Science,Northwest Normal University;Key Laboratory of Desert and Desertification,Chinese Academy of Sciences;
  • 关键词:荒漠-绿洲过渡带 ; 土壤温度 ; 变化特征 ; 临泽 ; 河西走廊
  • 英文关键词:desert-oasis ecotone;;soil temperature;;variation characteristic;;Linze;;Hexi Corridor
  • 中文刊名:GHQJ
  • 英文刊名:Arid Zone Research
  • 机构:山西师范大学地理科学学院;西北师范大学地理与环境科学学院;中国科学院沙漠与沙漠化重点实验室;
  • 出版日期:2019-05-16 09:37
  • 出版单位:干旱区研究
  • 年:2019
  • 期:v.36
  • 基金:国家自然科学基金项目(41701045,41807518);; 中国科学院重点实验室开放基金项目(KLDD-2017-008)
  • 语种:中文;
  • 页:GHQJ201904003
  • 页数:7
  • CN:04
  • ISSN:65-1095/X
  • 分类号:22-28
摘要
根据中国科学院临泽内陆河流域站2004—2014年的土壤温度与气象要素数据,分析了河西走廊中部荒漠-绿洲过渡带土壤温度年内和年际变化规律及主要影响因素。结果表明:土壤温度日变化与月变化大致呈正弦曲线,各层土壤最高、最低温度出现的时间随着土壤深度的增加逐渐推迟;年均土壤温度总体上随着土壤深度的加深先减小后增加;气温是与土壤温度变化相关性最强的气象要素;同时,明确了该区3个特征差异明显的土壤温度层次:020 cm土壤温度活跃层,40 cm土壤温度过渡层和60100 cm土壤温度稳定层,与其他地区结果有所差异。最后,利用相关性分析、多元逐步线性回归方法建立了气象指标与各层土壤温度之间经验预报方程。
        In this study,the data of soil temperature and meteorological factors at a station in an inland river basin in Linze from 2004 to 2014 were used to analyze the soil temperature variation and its main affecting factors in the desert-oasis ecotone in central Hexi Corridor. The results showed that both the daily and monthly changes of soil temperature were sine-curve-shaped,and the occurrence time of the highest and lowest temperature in each soil layer was gradually delayed with the increase of soil depth. The average annual soil temperature was generally decreased at first and then increased with the increase of soil depth. The correlation between air temperature and soil temperature was the most significant. Three distinct layers of soil temperature in this region were defined,i. e.,the soil layers of 0-20 cm deep,around 40 cm deep and 60-100 cm deep. Finally,the empirical prediction equations between meteorological indexes and soil temperature of each soil layer were developed using the correlation analysis and the multiple stepwise linear regression.
引文
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