[1]田宏伟,邢开成,黄进,等.近30年河南省夏玉米的气象年景波动对大气环流的响应[J].江苏农业学报,2020,(06):1437-1443.[doi:doi:10.3969/j.issn.1000-4440.2020.06.012]
 TIAN Hong-wei,XING Kai-cheng,HUANG Jin,et al.Responses of fluctuations of annual meteorological harvest for summer maize to atmospheric circulation in Henan province during recent 30 years[J].,2020,(06):1437-1443.[doi:doi:10.3969/j.issn.1000-4440.2020.06.012]
点击复制

近30年河南省夏玉米的气象年景波动对大气环流的响应()
分享到:

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年06期
页码:
1437-1443
栏目:
耕作栽培·资源环境
出版日期:
2020-12-31

文章信息/Info

Title:
Responses of fluctuations of annual meteorological harvest for summer maize to atmospheric circulation in Henan province during recent 30 years
作者:
田宏伟12邢开成3 黄进14张方敏14
(1.中国气象局/河南省农业气象保障与应用技术重点实验室,河南郑州450003;2.河南省气象科学研究所,河南郑州450003;3.河北省气候中心,河北石家庄050011;4.南京信息工程大学应用气象学院,江苏南京210044)
Author(s):
TIAN Hong-wei12XING Kai-cheng3HUANG Jin14ZHANG Fang-min14
(1.China Meteorological Administration/Henan Provincial Key Laboratory of Agrometeorological Safeguard and Applied Technique, Zhengzhou 450003, China;2.Henan Institute of Meteorological Sciences, Zhengzhou 450003, China;3.Hebei Provincial Climate Center, Shijiazhuang 050011, China;4.School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China)
关键词:
河南省夏玉米气象年景气候产量指数大气环流
Keywords:
Henan provincesummer maizeannual meteorological harvestclimate-driven yield indexlarge-scale atmospheric circulation
分类号:
S162.5+3
DOI:
doi:10.3969/j.issn.1000-4440.2020.06.012
文献标志码:
A
摘要:
依托河南省17个地级市1988-2017年夏玉米产量数据及15种大尺度大气环流指数(LACI)资料,运用气候产量指数(CDYI)评估了研究区夏玉米气象年景对大气环流异常的响应,主要结果如下:(1) 与其他拟合方法相比,HP滤波法更适用于研究区夏玉米气候产量的提取;(2) 基于主成分分析结果,河南省可以划分为4个呈现不同夏玉米CDYI演变情形的子区域,分别为东南部、北部、中南部、西部,且2003年后各分区CDYI的波动趋于缓和;(3) 与其他分区相比, 河南省东南部地区CDYI与大尺度大气环流指数的线性关系最为显著,特别是1月份较高数值的东太平洋/北太平洋涛动指数(EP/NP)是表征该区域夏玉米减产的重要前兆性信号; (4) 夏玉米气象年景波动对环流信号的响应存在不稳定性和阶段性。
Abstract:
The climate-driven yield index (CDYI) was used to evaluate the responses of annual meteorological harvest of summer maize to atmospheric circulation anomalies in the study area, based on the yield data of summer maize from 1988 to 2017 in 17 prefecture-level cities of Henan province and the data of 15 large-scale atmospheric circulation indices (LACI). The main results are as follows: firstly, HP filter method was more suitable for extracting the climate-driven yield of summer maize in the study area compared with other fitting methods. Secondly, Henan province could be divided into four sub-regions with different temporal variations of CDYI for summer maize such as southeast region, north region, central south region and west region, based on the results of principal component analysis, and the CDYI fluctuations in each sub-regions tended to be moderate after 2003. Thirdly, the linear relationship between CDYI and LACI in southeast region of Henan province was the most significant compared with other sub-regions, the oscillation index (EP/NP) of East Pacific/North Pacific with a relatively higher value was the key precursory signal for yield reduction of summer maize in this region especially in January. Fourthly, there were instabilities and stage features in the response process of annual meteorological harvest fluctuations of summer maize to circulation signals.

参考文献/References:

[1]徐敏,徐经纬,高苹,等.基于海温和大气环流特征量的农业气候年景预测[J].江苏农业科学,2016,44(9):435-439.
[2]李建,江晓东,杨沈斌,等.长江中下游地区水稻生长季节内农业气候资源变化[J].江苏农业学报,2020,36(1):99-107.
[3]祁俊青,于文金,谢涛,等.云南省干旱灾害时空变化特征[J].江苏农业学报,2019,35(3):631-638.
[4]丁从慧,申双和,陶苏林.江苏省农业气候资源及未来情景预估[J].江苏农业学报,2017,33(6):1309-1315.
[5]邱美娟,宋迎波,王建林,等.山东省冬小麦产量动态集成预报方法[J].应用气象学报,2016,27(2):191-200.
[6]杨晓强,张志国,代云超,等.黑龙江省甜菜农业气象年景评估方法[J].中国农学通报,2018,34(25):104-108.
[7]胡春丽,李荣平,王婷,等.辽宁水稻年景预报模型研究[J].干旱气象,2018,36(3):501-506.
[8]李佳佳,贺新光,卢希安.长江流域月降水的EEMD多时间尺度遥相关分析[J].长江流域资源与环境,2019,28(8):1898-1908.
[9]余卫东,马志红.近50年河南省夏玉米生产潜力及产量差时空变化特征[J].干旱地区农业研究,2015,33(1):205-212.
[10]刘小雪,申双和,刘荣花.河南夏玉米产量灾损的风险区划[J].中国农业气象,2013,34(5):582-587.
[11]房世波.分离趋势产量和气候产量的方法探讨[J].自然灾害学报,2011,20(6):13-18.
[12]李斌,李丽娟,李海滨,等.澜沧江流域干旱变化的时空特征[J].农业工程学报,2011,27(5):87-92,393.
[13]秦榕,李林超,杨霰,等.新疆地区蒸发皿蒸发量变化及基于小波的周期分析[J].干旱区地理,2018,41(5):954-962.
[14]刘濛濛,隆永兰.巴音布鲁克.近58 a气候变化特征分析[J].干旱区地理,2019,42(4):715-723.
[15]王桂芝,陆金帅,陈克垚,等.基于HP滤波的气候产量分离方法探讨[J].中国农业气象,2014,35(2):195-199.
[16]成林,马志红,李树岩.气候变化对河南省夏玉米单产的影响分析[J].玉米科学,2016,24(1):88-95.
[17]焦建丽,康雯瑛.河南省年降水的区域特征分析[J].华北水利水电学院学报,2007,28(4):7-10.
[18]李治国.近40 a河南省农业气象灾害对粮食生产的影响研究[J].干旱区资源与环境,2013,27(5):126-130.
[19]李树岩,刘伟昌.基于气象关键因子的河南省夏玉米产量预报研究[J].干旱地区农业研究,2014,32(5):223-227.
[20]王芬,曹杰,唐浩鹏,等.前期北太平洋海温异常对贵州夏季降水的影响[J].高原气象,2014,33(4):925-936.
[21]卢静荣,张济世.海陆温差指数与我国华北地区降水的相关性分析[J].人民长江,2018,49(19):46-52.
[22]杨杰,王启光,支蓉,等.动态最优多因子组合的华北汛期降水模式误差估计及预报[J].物理学报,2011,60(2):833-845.
[23]成林,刘荣花.河南省夏玉米花期连阴雨灾害风险区划[J].生态学杂志,2012,31(12):3075-3079.
[24]李军玲,刘忠阳,邹春辉.基于GIS的河南省洪涝灾害风险评估与区划研究[J].气象,2010,36(2):87-92.
[25]宗海锋,陈烈庭,张庆云.ENSO与中国夏季降水年际变化关系的不稳定性特征[J].大气科学,2010,34(1):184-192.
[26]ZHENG F, WANG H, LUO H, et al. Decadal change in ENSO related seasonal precipitation over southern China under influences of ENSO and its combination mode [J]. Climate Dynamics, 2020, 54(3/4): 1973-1986.

相似文献/References:

[1]尚赏,郭书亚,张艳,等.不同收获期对豫东地区夏玉米机械粒收质量的影响[J].江苏农业学报,2021,(04):867.[doi:doi:10.3969/j.issn.1000-4440.2021.04.008]
 SHANG Shang,GUO Shu-ya,ZHANG Yan,et al.Effects of different harvesting date on mechanical grain-harvesting quality of summer maize in Eastern Henan[J].,2021,(06):867.[doi:doi:10.3969/j.issn.1000-4440.2021.04.008]
[2]傅鹏霄,王珏,李广浩,等.不同栽培模式对江苏省夏玉米产量和氮素利用的影响[J].江苏农业学报,2021,(05):1151.[doi:doi:10.3969/j.issn.1000-4440.2021.05.009]
 FU Peng-xiao,WANG Jue,LI Guang-hao,et al.Effects of different cultivation patterns on the yield and nitrogen utilization of summer maize in Jiangsu province[J].,2021,(06):1151.[doi:doi:10.3969/j.issn.1000-4440.2021.05.009]
[3]倪锋,谢鹏飞,褚荣浩,等.利用日光诱导叶绿素荧光估算高温干旱复合胁迫下夏玉米生理生态参数[J].江苏农业学报,2022,38(03):587.[doi:doi:10.3969/j.issn.1000-4440.2022.03.002]
 NI Feng,XIE Peng-fei,CHU Rong-hao,et al.Estimation of physiological and ecological parameters of summer maize under combined stress of heat and drought using solar-induced chlorophyll fluorescence[J].,2022,38(06):587.[doi:doi:10.3969/j.issn.1000-4440.2022.03.002]
[4]黄进,王锦旗,张方敏.基于时序聚类的河南省冬小麦单产演变区域差异及其对气候干湿变化的响应[J].江苏农业学报,2023,(01):73.[doi:doi:10.3969/j.issn.1000-4440.2023.01.009]
 HUANG Jin,WANG Jin-qi,ZHANG Fang-min.Region difference of yield variability of winter wheat in Henan province based on temporal clustering and its response to climatic dry and wet variations[J].,2023,(06):73.[doi:doi:10.3969/j.issn.1000-4440.2023.01.009]
[5]郑智康,常庆瑞,符欣彤,等.基于变换光谱与光谱指数的夏玉米叶片含水率高光谱估算[J].江苏农业学报,2023,(09):1883.[doi:doi:10.3969/j.issn.1000-4440.2023.09.010]
 ZHENG Zhi-kang,CHANG Qing-rui,FU Xin-tong,et al.Hyperspectral estimation of leaf water content of summer maize based on transformed spectrum and spectral index[J].,2023,(06):1883.[doi:doi:10.3969/j.issn.1000-4440.2023.09.010]

备注/Memo

备注/Memo:
收稿日期:2020-04-13基金项目:中国气象局/河南省农业气象保障与应用技术重点实验室开放研究基金项目(AFM202006);科技部重大研发计划项目(2018YFC1506606)作者简介:田宏伟(1982-),男,河南永城人,硕士,高级工程师,主要从事农业气象研究。(E-mail)cooperatornuist@163.com通讯作者:刑开成,(E-mail)sslhj@aliyun.com
更新日期/Last Update: 2021-01-15