首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波和M-K的豫东农区近60年气温变化的多时间尺度分析
引用本文:田海峰,李国栋,彭剑峰,刘亚茹.基于小波和M-K的豫东农区近60年气温变化的多时间尺度分析[J].中国农学通报,2013,29(35):329-338.
作者姓名:田海峰  李国栋  彭剑峰  刘亚茹
作者单位:河南大学环境与规划学院
基金项目:国家自然科学基金项目“城市居民碳排放的因素-结构-过程模拟与调控研究”(41171438);国家自然科学基金项目“豫东农耕区土壤有机碳分布、变化机制及固碳潜力研究”(41101088)
摘    要:了解全球变暖背景下豫东农区气温变化规律及其演变趋势,可为农业科学发展提供必要参考依据。选取豫东地区5个气象观测站1951-2011年的气温观测资料,集成Mann—Kendall分析、一元线性回归分析、5年滑动平均分析、M0rlet小波分析等方法,分析了豫东地区气温的突变事实、变化趋势及变化周期。结果表明:豫东地区年、冬季、春季、秋季平均气温分别于1993、1969、1984和2004年发生增温突变,夏季平均气温没有突变年份;年、冬季、春季、秋季平均气温升温趋势明显,其年际倾向率分别为0.186℃/10a、0.251℃/10a、0.259℃/10a、0.221℃/10a,夏季平均气温变化趋势不明显;近60年来四李及年平均气温的震荡周期变化特征复杂,存在多重时间尺度上的嵌套结构,年平均气温普遍存在准3年、准10年和准16年震荡周期信号。豫东地区近10年增温显著,气候变暖对农业生产的影响既有利也有弊,冬春季增温一方面有利于提高冬小麦产量,同时会加剧病虫害及霜冻干旱灾害的发生。

关 键 词:豫东农区  气温变化  多时间尺度  Mann—Kendall  Morlet小波
收稿时间:2013/1/21 0:00:00
修稿时间:2013/3/14 0:00:00

Multi-time Scales Analysis of Temperature Variation Based on Wavelet and M-K Methods in Yudong During 1951 to 2011
Tian Haifeng;Qin Yaochen;Li Guodong;Peng Jianfeng;Liu Yaru.Multi-time Scales Analysis of Temperature Variation Based on Wavelet and M-K Methods in Yudong During 1951 to 2011[J].Chinese Agricultural Science Bulletin,2013,29(35):329-338.
Authors:Tian Haifeng;Qin Yaochen;Li Guodong;Peng Jianfeng;Liu Yaru
Institution:Tian Haifeng;Qin Yaochen;Li Guodong;Peng Jianfeng;Liu Yaru;College of Environment and Planning, Henan University;
Abstract:The regularity of temperature variation and the trend of temperature evolution in Yudong farming areas under the background of global warming can provide the necessary reference for agricultural development. Temperature variation facts, trends and variation cycles were analyzed using methods of Mann-Kendal analysis, regression analysis, 5 years sliding average and Morlet wavelet based on five meteorological stations in Yudong. The results showed that average annual temperature, average winter temperature, average spring temperature and average fall temperature under the 99% confidence level appear increasing mutation corresponding to 1993, 1969, 1984 and 2004, respectively. The average summer temperature didn' t have the mutation year. Average annual temperature, average winter temperature, average spring temperature and aw:rage fall temperature had an apparent trend under the 99% confidence level, the interannual trend rates were 0.186℃/10a, 0.251℃/10a, 0.259℃/10a and 0.221℃/10a respectively. Average spring temperature trend was not obvious. The oscillating periods of seasonal and annual average temperature in the past 60 years had complex variation characters with a nested structure on multiple time scales, annual average temperature existed 3 years, 10 years and 16 years oscillation period signal. In the past 10 years, temperature increased significantly, the impact of climate warming on agricultural production have advantages and disadvantages, warming in winter and spring can improve the yield of winter wheat, and also aggravate the pest and frost drought disasters occur at the same time.
Keywords:Morlet wavelet
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《中国农学通报》浏览原始摘要信息
点击此处可从《中国农学通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号