摘要
利用1982年9月—2022年5月的逐月0~20 cm地温观测资料和同期的农业气象观测资料,采用气候倾向率法、Mann-Kendall检验、Morlet小波分析和线性回归分析等气候统计方法,分析了近40 a播州区油菜生育期内0~20 cm地温变化特征及与油菜产量的相关性。结果表明:1983—2022年播州区油菜生育期内0~20 cm各土层地温均呈上升趋势,0、15 cm和20 cm地温无明显突变特征,5 cm和10 cm平均地温均从1997年开始突变,突变后上升趋势明显。各土层地温均在32a时间尺度上周期变化表现最佳,在32a时间尺度上,40年来主要经历了3个时期的交替变换。2月0~10cm各土层平均地温、3月和4月0~20cm各土层平均地温均与油菜产量呈显著正相关关系,其中4月20cm平均地温对油菜产量的影响最大。
Based on the monthly 0~20 cm ground temperature observation data and agrometeorological observation data from September 1982 to May 2022,the variation characteristics of ground temperature from 0 to 20 cm during rapeseed growing period and its correlation with rapeseed yield were analyzed by climate tendency rate method,Mann-Kendall test,Morlet wavelet analysis and linear regression analysis methods.The results showed that the ground temperature in 0-20 cm soil layers showed an increasing trend during the growth period of rapeseed in Bozhou from 1983 to 2022.The ground temperature of 0 cm,15 cm and 20 cm had no obvious mutation characteristics,while the average ground temperature of 5 cm and 10 cm had an abrupt change in 1997,and the trend of increasing was much more obvious after that.The periodicity of ground temperature in all soil layers was the best on 32 years scale,and there were three alternating periods in the past 40 years on that scale.The average ground temperature in 0-10cm soil layers in February,0-20 cm soil layers in March and April were significantly positively correlated with rape yield,and the correlation coefficient between 20 cm ground temperature in April and rape yield was the largest.
作者
吴新星
陈洪玉
吴新豪
秦仁艳
肖雨霞
Wu Xinxing;Chen Hongyu;Wu Xinhao;Qin Renyan;Xiao Yuxia(Bozhou District Meteorological Bureau,Guizhou Zunyi 563199;Zunyi Agriculture and Rural Bureau,Guizhou Zunyi 563100;Renhuai Meteorological Bureau,Guizhou Renhuai 564599;Daozhen Meteorological Bureau,Guizhou Daozhen 563599)
出处
《内蒙古气象》
2024年第3期39-44,共6页
Meteorology Journal of Inner Mongolia
关键词
地温
气候倾向率
气候突变
相关性分析
Ground temperature
Climate tendency rate
Abrupt change of climate
Correlation analysis
