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中国农学通报 ›› 2015, Vol. 31 ›› Issue (21): 237-243.doi: 10.11924/j.issn.1000-6850.casb15010237

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

陕北黄土高原地区极端气温事件变化特征

王涛,杨强,于冬雪   

  1. 西安科技大学 测绘科学与技术学院,南京林业大学 土木工程学院,江西信息应用职业技术学院 环境工程系
  • 收稿日期:2015-01-30 修回日期:2015-06-23 接受日期:2015-05-14 出版日期:2015-07-28 发布日期:2015-07-28
  • 通讯作者: 王涛
  • 基金资助:
    陕西省教育厅科学研究计划“陕北生态脆弱区沙漠化驱动力定量化研究”(14JK1479);西安科技大学培育基金“多尺度土壤侵蚀人为影响机制研究”(2014007);陕西省自然科学基础研究计划“陕北沙漠化逆转过程中土壤-植物反馈机制研究”(2015JQ4110)。

Characteristics of Extremely Temperature change Trend in Loess Plateau Area of Northern Shaanxi Province

  • Received:2015-01-30 Revised:2015-06-23 Accepted:2015-05-14 Online:2015-07-28 Published:2015-07-28

摘要: 为了分析区域气温变化对全球气候变化的响应过程,利用6个气象站点1959—2011年逐日最高、最低和平均气温数据,分析陕北黄土高原地区极端气温事件变化特征。结果表明:(1)变化趋势上,区域内极端气温暖指数(极端最高气温、生长季长度、暖夜日数和暖昼日数)呈显著增加趋势,而极端气温冷指数(霜冻日数、结冰日数、冷夜日数和冷昼日数)呈显著减少趋势,极端气温指数变化趋势与全国趋势一致;(2)空间分布上,榆林和吴起是极端气温指数最大值和最小值分布较为集中的2个站点,反映出区域北部和西部对气候变化的响应较为敏感;(3)突变特征上,极端气温冷指数(结冰日数、冷夜日数和冷昼日数)减少突变主要发生在1980s,而暖指数(极端最高气温、生长季长度、暖夜日数和暖昼日数)增加突变主要发生在1990s。

关键词: 芦苇, 芦苇, 生物量, 纤维素, 糖化

Abstract: In order to analyze change process of regional temperature response to global climate change, daily maximum, minimum and average temperature data of 6 meteorological stations from 1959 to 2011 were used to analyze the change characteristics of extreme temperature in loess plateau area of northern Shaanxi Province. Results showed that: (1) for the change trend, warm indexes in the region, like extreme maximum temperature, length of growing season, warm night days and warm day days, showed a significant increase trend, while cold indexes in the region, like frost days, freezing days, cold night days and cold day days, showed a significantly decreasing trend, the trend of extreme temperature index was consistent with the national trend; (2) in spatial distribution, the maximum and minimum value of extreme temperature indexes distribution were more concentrated in Wuqi and Yulin station, which reflected that the north and west regions of loess plateau area in northern Shaanxi Province were sensitive to climate change; (3) the decrease mutation of the cold indexes in the region like freezing days, cold night days and cold day days occurred in the 1980s, while the increase mutation of the warm indexes in the region like extreme maximum temperature, length of growing season, warm night days and warm day days occurred in the 1990s.