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渭河流域东部末次冰消期以来的气候变化研究
  • 期刊名称:干旱区资源与环境
  • 时间:0
  • 页码:64-71
  • 语言:中文
  • 分类:P467[天文地球—大气科学及气象学]
  • 作者机构:[1]陕西师范大学旅游与环境学院,陕西西安710062
  • 相关基金:国家自然科学基金(41271159;40801008); 中央高校基本科研业务费(14SZYB15)
  • 相关项目:泾河、北洛河河流阶地对构造活动与气候变化的响应
中文摘要:

根据33个气象观测站1961~2012年逐日气温数据,利用年平均气温、日平均气温稳定≥10℃的日数及其积温、最暖月平均气温(7月)、最冷月平均气温(1月)等5个指标对黄土高原地区的气温与热量资源变化趋势进行分析,结果表明:在52年时间尺度上,黄土高原地区年平均气温线性拟合增长率达到0.28℃/10年,在空间变化上表现出北部区域变化大于南部区域,西部区域大于东部区域的特点。热量资源在20世纪90年代开始快速增加,其中日平均气温稳定≥10℃的日数变化最大的区域为黄土高原南界到陕西西安和山西临汾区域,而日平均气温稳定≥10℃积温变化最大的区域为山西原平为中心区域和青海、甘肃的大部分区域。最冷月气温与最暖月气温在时间序列变化上,变化趋势表现为基本一致,但是空间变化趋势存在一定的差异性,并且最暖月的变化幅度小于最冷月的变化幅度。

英文摘要:

According to the daily air temperature data from 33 meteorological stations in the Loess Plateau area during 1961 ~ 2012, the author used 5 indexes [ annual average air temperature, day number with steady daily average temperature above 10 ℃ , accumulated temperature of above 10 ℃ daily average temperature, average air temperature in the warmest month (July), average air temperature in the coldest month (January) ] to analyze the variation trend of air temperature and thermal resources in the Loess Plateau area. The results showed that: from 1961 to 2012, the linear fitting increase rate of annual average air temperature in the Lo- ess Plateau reached 0.28 ℃/10 a; the variations of annual average air temperature in the northern region and western region of the Loess Plateau were greater than those in the southern region and eastern region, respectively. The thermal resources in the Loess Plateau area quickly increased in the 1990s, the greatest change in the day number with steady daily average temperature above 10 ℃ was found in the region from the southern boundary of the Loess Plateau to Xi' an and Linfen, and the greatest change in the ac- cumulated temperature of above 10 ℃ daily average temperature occurred in Yuanping surrounding region and most regions of both Qinghai and Gansu. The average air temperature in the coldest month in the Loess Plateau had similar temporal variation trends to the average air temperature in the warmest month, but they had different spatial variation trends, and the variation amplitude of the latter was less than that of the former.

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