[1]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):73-80.[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,(01):73-80.[doi:doi:10.3969/j.issn.1000-4440.2023.01.009]
点击复制

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()
分享到:

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年01期
页码:
73-80
栏目:
耕作栽培·资源环境
出版日期:
2023-02-28

文章信息/Info

Title:
Region difference of yield variability of winter wheat in Henan province based on temporal clustering and its response to climatic dry and wet variations
作者:
黄进王锦旗张方敏
(南京信息工程大学应用气象学院,江苏南京210044)
Author(s):
HUANG JinWANG Jin-qiZHANG Fang-min
(School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China)
关键词:
冬小麦河南省单产时序聚类标准化降水指数
Keywords:
winter wheatHenan provinceyield per unit areatemporal clusteringstandardized precipitation index
分类号:
S162.3
DOI:
doi:10.3969/j.issn.1000-4440.2023.01.009
文献标志码:
A
摘要:
依托17个地级市1988-2017年单产资料,运用时序聚类方法对河南省冬小麦产量变化模式进行了空间区域划分。在气候产量提取的基础上,运用标准化降水指数(SPI)分析了不同区域冬小麦产量对气候干湿变化的响应。结果显示:基于单产时序特征的差异,通过K均值聚类将河南省划分成西部、中西部、中北部、东部4个子区域;中北部和东部地区冬小麦的稳产、增产、高产水平较高,而西部地区冬小麦的气候灾害损失风险较高;2月SPI对西部及中西部地区的冬小麦产量有着显著的正向效应,而5月和12月的SPI分别对东部、中北部地区的冬小麦产量有着显著的负向效应;西部地区冬小麦产量对关键月份气候干湿变化的响应更为敏感。
Abstract:
Based on the data of yield per unit area in 17 cities from 1988 to 2017, the spatial division of winter wheat yield changing modes in Henan province was carried out by using temporal clustering. On the basis of extraction of climatic yield, the responses of winter wheat yield to climatic dry and wet variations in different regions were explored by using standardized precipitation index (SPI). The results showed that Henan province was divided into four sub-regions (western area, central-western area, central-northern area and eastern area) by K-means clustering based on the difference of temporal characteristics of yield per unit area. The level of stable production, increasing production and high production of winter wheat was higher in central-northern and eastern areas, while the risk of climate disaster loss was higher in western area. The SPI in February had significantly positive effects on the yield of winter wheat in western and central-western areas, while the SPI in May and SPI in December had significantly negative effects on the yield of winter wheat in eastern and central-northern areas, respectively. Winter wheat yield in western area was more sensitive to climatic dry and wet variations.

参考文献/References:

[1]文倩,孙江涛,范利瑶,等. 基于熵权TOPSIS的河南省农业水土资源承载力时空分异与关联分析[J].水土保持研究, 2022, 29 (1): 333-338.
[2]于元赫,吴健,李子君,等. 山东省粮食生产时空格局演变及安全评价[J]. 中国农业大学学报, 2020, 25(9): 176-186.
[3]温静,张超,张丽君,等. 气候变化下中国粮食生产时空演变及影响因素[J]. 河南大学学报(自然科学版), 2020, 50(6): 652-665.
[4]吴静芬,李丁,刘笑杰,等.长江经济带粮食生产时空动态演变及影响因素分析[J]. 农业现代化研究, 2021, 42(3): 407-417.
[5]刘忠,黄峰,李保国. 基于经验模态分解的中国粮食单产波动特征及影响因素[J]. 农业工程学报, 2015, 31(2): 7-13.
[6]张荣荣,宁晓菊,秦耀辰,等. 1980年以来河南省主要粮食作物产量对气候变化的敏感性分析[J]. 资源科学, 2018, 40(1): 137-149.
[7]赵强强,陈财,张菲菲,等. 淮河流域冬小麦干旱时空分布特征[J]. 江苏农业学报, 2021, 37(2): 373-381.
[8]白芳芳,乔冬梅,庞颖,等. 河南省冬小麦各生育期水分亏缺的空间分布及降水量突变检验[J].灌溉排水学报, 2017, 36(6): 100-108.
[9]颜玉倩,何赵祥睿,朱克云. 河南省冬小麦干旱指数特征分析及风险评估[J]. 农学学报, 2021, 11(3): 12-19.
[10]王连喜,王田,李琪,等. 基于作物水分亏缺指数的河南省冬小麦干旱时空特征分析[J]. 江苏农业科学, 2019, 47(12): 83-88.
[11]宋辞,裴韬. 基于特征的时间序列聚类方法研究进展[J]. 地球科学进展,2012,31(10): 1307-1317.
[12]王栋,梁忠民,王军,等.基于主成分聚类分析的云南省干旱自然分区[J]. 南水北调与水利科技,2017,15(2):15-21,28.
[13]张国栋,樊东方,李其江. 基于主成分聚类分析的青海省水文分区研究[J]. 人民黄河,2018,40(12): 33-38.
[14]张洪波,顾磊,陈克宇,等. 渭河生态水文联系变异分区研究[J]. 西北农林科技大学学报(自然科学版),2016,44(6): 210-220.
[15]徐慧,张方敏,黄进. 江苏省1961-2012年干湿时空变化及对单季稻产量的潜在影响[J]. 水土保持研究,2017,24(6): 250-254,261.
[16]闫宇航,岑云峰,张鹏岩,等. 基于SFA模型的河南省粮食产量时空变化及投入要素影响[J]. 中国农业资源与区划,2020,41(5): 76-86.
[17]王天慧. 基于灰色模型技术的气象因素对粮食生产影响的量化分析[D]. 郑州:河南农业大学,2018.
[18]鲁坦,徐文明,俞小鼎,等. 2003-2014年河南春季暴雨特征及影响系统分析[J]. 气象与环境科学,2017,40(2): 92-99.
[19]余卫东,杨君健.河南省优质小麦适宜种植区及未来变化趋势[J]. 中国农业大学学报,2021,26(9): 42-51.
[20]张弘. 河南省冬小麦越冬冻害气候风险区划[J]. 江苏农业科学,2016,44(9): 443-446.
[21]商东耀,张志红,岳元,等. 基于标准化降水指数的河南省近45年干旱时空特征分析[J]. 干旱地区农业研究,2021,39(4): 162-170.
[22]韩红,冯光辉,邓国取. 基于ND-GAIN模型的河南省农业抗灾能力评价[J]. 水利水电科技进展,2022,42(1): 67-74.

相似文献/References:

[1]葛道阔,曹宏鑫,马晓群,等.基于作物生长模型的小麦旱涝敏感性分析与损失评估[J].江苏农业学报,2016,(06):1302.[doi:doi:10.3969/j.issn.1000-4440.2016.06.017]
 GE Dao-kuo,CAO Hong-xin,MA Xiao-qun,et al.Sensitivity analysis and damage assessment for wheat drought and waterlogged based on crop growth model[J].,2016,(01):1302.[doi:doi:10.3969/j.issn.1000-4440.2016.06.017]
[2]金正婷,李卫国,景元书.基于影像融合的冬小麦种植面积提取适宜尺度研究[J].江苏农业学报,2015,(06):1312.[doi:doi:10.3969/j.issn.1000-4440.2015.06.018]
 JIN Zheng-ting,LI Wei-guo,JING Yuan-shu.Appropriate extraction scale of winter wheat planting area based on image fusion[J].,2015,(01):1312.[doi:doi:10.3969/j.issn.1000-4440.2015.06.018]
[3]肇思迪,娄运生,庞渤,等.UV-B辐射增强下施硅对冬小麦光合特性和产量的影响[J].江苏农业学报,2017,(05):1036.[doi:doi:10.3969/j.issn.1000-4440.2017.05.012]
 ZHAO Si-di,LOU Yun-sheng,PANG Bo,et al.Effects of silicate application on photosynthesis and yield in winter wheat under elevated UV-B radiation[J].,2017,(01):1036.[doi:doi:10.3969/j.issn.1000-4440.2017.05.012]
[4]葛道阔,曹宏鑫,杨余旺,等.基于WCSODS的小麦旱涝灾损区域化监测与精细化评估[J].江苏农业学报,2017,(05):1062.[doi:doi:10.3969/j.issn.1000-4440.2017.05.016]
 GE Dao-kuo,CAO Hong-xin,YANG Yu-wang,et al.Regional monitoring and refined assessment for damage from wheat drought and waterlogging based on WCSODS[J].,2017,(01):1062.[doi:doi:10.3969/j.issn.1000-4440.2017.05.016]
[5]巫明焱,董光,税丽,等.基于Landsat 8影像的济宁市春季主要作物种植面积变化监测[J].江苏农业学报,2018,(03):559.[doi:doi:10.3969/j.issn.1000-4440.2018.03.012]
 WU Ming-yan,DONG Guang,SHUI Li,et al.Change detection of main spring crops area in Jining based on Landsat 8 images[J].,2018,(01):559.[doi:doi:10.3969/j.issn.1000-4440.2018.03.012]
[6]李卫国,顾晓鹤,葛广秀,等.县域冬小麦病害遥感监测信息系统研制[J].江苏农业学报,2019,(02):302.[doi:doi:10.3969/j.issn.1000-4440.2019.02.009]
 LI Wei-guo,GU Xiao-he,GE Guang-xiu,et al.Development of remote sensing monitoring information system for county scale winter wheat diseases[J].,2019,(01):302.[doi:doi:10.3969/j.issn.1000-4440.2019.02.009]
[7]单捷,孙玲,王志明,等.GF-1影像遥感监测指标与冬小麦长势参数的关系[J].江苏农业学报,2019,(06):1323.[doi:doi:10.3969/j.issn.1000-4440.2019.06.008]
 SHAN Jie,SUN Ling,WANG Zhi-ming,et al.Relationship between remote sensing monitoring indices and growth parameters in winter wheat based on GF-1 images[J].,2019,(01):1323.[doi:doi:10.3969/j.issn.1000-4440.2019.06.008]
[8]陶惠林,冯海宽,徐良骥,等.基于无人机高光谱遥感数据的冬小麦生物量估算[J].江苏农业学报,2020,(05):1154.[doi:doi:10.3969/j.issn.1000-4440.2020.05.012]
 TAO Hui-lin,FENG Hai-kuan,XU Liang-ji,et al.Winter wheat biomass estimation based on hyperspectral remote sensing data of unmanned aerial vehicle(UAV)[J].,2020,(01):1154.[doi:doi:10.3969/j.issn.1000-4440.2020.05.012]
[9]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.[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,(01):1437.[doi:doi:10.3969/j.issn.1000-4440.2020.06.012]
[10]马美娟,陈小新,张云霞,等.分期播种冬小麦农田小气候特征及其生育状况分析[J].江苏农业学报,2021,(03):613.[doi:doi:10.3969/j.issn.1000-4440.2021.03.009]
 MA Mei-juan,CHEN Xiao-xin,ZHANG Yun-xia,et al.Analysis on field microclimate characteristics and growth of winter wheat under different sowing dates[J].,2021,(01):613.[doi:doi:10.3969/j.issn.1000-4440.2021.03.009]

备注/Memo

备注/Memo:
收稿日期:2022-03-16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基金项目(AFM202006)作者简介:黄进(1983-),男,江苏镇江人,博士,讲师,主要从事农业气象灾害评估研究。(E-mail)hjtyforlove@aliyun.com通讯作者:张方敏,(E-mail)nfuecology@aliyun.com
更新日期/Last Update: 2023-03-21