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中国农学通报 ›› 2015, Vol. 31 ›› Issue (32): 217-222.doi: 10.11924/j.issn.1000-6850.casb15060083

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

潍坊市1951—2014年气温和高低温日数变化特征

高学芹   

  1. (寿光市气象局,山东寿光 262700)
  • 收稿日期:2015-06-15 修回日期:2015-06-30 接受日期:2015-07-13 出版日期:2015-11-16 发布日期:2015-11-16
  • 通讯作者: 高学芹
  • 基金资助:
    潍坊市气象局气象科学技术研究项目“潍坊市气候变化对农业的影响及应对措施”(2014wfqxkt11)。

Change Features of Temperature and the Number of High and Low Temperature Days from 1951 to 2014 in Weifang City

Gao Xueqin   

  1. (Shouguang Meteorological Bureau, Shouguang Shandong 262700)
  • Received:2015-06-15 Revised:2015-06-30 Accepted:2015-07-13 Online:2015-11-16 Published:2015-11-16

摘要: 为了掌握潍坊市的气温变化特征,利用1951—2014年潍坊市气温资料,采用线性倾向估计、累积距平和信噪比等统计方法,研究分析了近64年潍坊市气温及高、低温日数变化特征。结果表明:潍坊市气温无论年际变化还是年代际变化,升温趋势明显,最低气温的增温速率高于最高气温。气温的年和年代际季节性变化呈现出非对称性,春季升温最明显,冬季次之,夏季最不明显。潍坊市近64年高、低温日数均呈减少趋势,高、低温日数减少的主要时段分别在1970s和2000s。高温日数与平均气温、平均高温均呈正相关,相关性最好的为7月。低温日数与平均气温、平均低温均呈负相关,相关性最好的为1月。潍坊市近64年平均气温、平均高温、平均低温和高、低温日数在随时间序列的变化过程中未发生突变。

关键词: 木薯, 木薯, 低毒, 生氰糖苷, HPLC, 资源

Abstract: In order to master the characteristics of temperature variation in Weifang City, the change features of temperature and the number of high and low temperature days in recent 64 years were analyzed and studied with statistic methods such as linear trend estimation, accumulative anomaly, signal noise ratio and so on according to the temperature data from 1951 to 2014 in Weifang City. The results showed that: no matter it was the inter-annual change or the inter-decadal change of temperature, the warming trend was obvious; the increase speed of the lowest temperature was higher than the increase speed of highest temperature. The inter-annual change and inter-decadal change of the seasonal temperature presented an asymmetrical distribution. The temperature rise was the most obvious in spring and less obvious in winter; it was the most non-obvious in summer. The number of high and low temperature days in recent 64 years was on a decreasing trend. The number of high and low temperature days decreased mainly in 1970s and 2000s. The number of high temperature days was positively correlated with the average temperature and the average high temperature, and July had the best correlation. The number of low temperature days was negatively correlated with the average temperature and the average low temperature, and January had the best correlation. In the changing process along with time series, the average temperature, average high temperature, average low temperature, and the number of high and low temperature days in recent 64 years never had a mutation in Weifang City.

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