[1]张 瑜,孟 鑫,刘 扬,等.1981—2020年东北地区地理要素对四季开始时间的影响分析[J].山地学报,2024,(2):154-163.[doi:10.16089/j.cnki.1008-2786.000812]
　ZHANG Yu,MENG Xin,LIU Yang,et al.Influence of Geographic Elements on the Beginning of Four Seasons in Northeast China for the Period of 1981-2020[J].Mountain Research,2024,(2):154-163.[doi:10.16089/j.cnki.1008-2786.000812]
点击复制

1981—2020年东北地区地理要素对四季开始时间的影响分析
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2024年第2期
页码:
154-163
栏目:
山地环境
出版日期:
2024-03-25

文章信息/Info

Title:
Influence of Geographic Elements on the Beginning of Four Seasons in Northeast China for the Period of 1981-2020
文章编号:
1008-2786-(2024)2-154-10
作者:
张 瑜1; 孟 鑫2; 刘 扬3; 廖 斌1; 曾胜兰4
(1.北京应用气象研究所,北京 100029; 2.辽宁省丹东市气象局,辽宁 丹东 118000; 3.国家气象中心,北京 100081; 4.成都信息工程大学 大气科学学院, 成都 610225)
Author(s):
ZHANG Yu1;  MENG Xin2;  LIU Yang3;  LIAO Bin1;  ZENG Shenglan4
(1. Beijing Institute of Applied Meteorology, Beijing 100029, China; 2. Dandong Meteorological Bureau of Liaoning, Dandong 118000, Liaoning, China; 3. National Meteorological Center, Beijing 100081,China; 4. College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China)
关键词:
四季开始时间;  海拔高度;  经度;  纬度;  偏相关分析
Keywords:
beginning dates of seasons;  altitude;  longitude;  latitude;  partial correlation coefficient
分类号:
P461
DOI:
10.16089/j.cnki.1008-2786.000812
文献标志码:
A
摘要:
经度、纬度、海拔高度等地理要素影响四季开始时间,其影响程度与性质、同一地理因素对不同季节的差异性影响等问题尚无定论。本文基于东北地区1981—2020年27个气象站逐日平均气温资料,采用候温法计算四季开始时间,分析四季开始时间时空分布,并使用偏相关分析法分析其与地理要素间的相关性。结果表明:(1)春季和夏季开始时间与海拔高度正相关,秋季和冬季开始时间与海拔高度负相关。春季开始时间与纬度正相关,秋季和冬季开始时间与纬度负相关。春季和夏季开始时间与经度正相关,冬季开始时间与经度负相关。(2)经度、纬度和海拔高度分别对四季开始时间有不同影响。春季开始时间受海拔高度影响最大、纬度次之、经度最小; 夏季开始时间受海拔高度影响最大、经度次之; 秋季开始时间受纬度影响最大、海拔高度次之; 冬季开始时间受纬度影响最大、海拔高度次之、经度影响很小。(3)经度、纬度和海拔高度整体对不同季节开始时间影响程度不同,冬季受影响最大、春季其次、夏季和秋季受影响程度较小。本研究结果可为开展东北地区作物种植种类和作物选址提供科学指导,对促进东北地区农业、经济发展具有重要意义。
Abstract:
Geographical elements such as longitude, latitude, and altitude have direct effect on the start time of four seasons; however, the extent and nature of the influences, and the variability in the extent on which the same geographical element affects different seasons, had not yet been revealed, particularly for Northeast China, where the rising temperature with prolonged/shortened seasons have been significantly changing the structure of forestry for years.
In this study, based on original the records of daily mean temperature of 1981-2020 collected at 27 meteorological stations established over northeast China, it used a pentad mean temperature method to calculate the start time of four seasons, and then their spatio-temporal distribution subjected to geographical elements was addressed by partial correlation analysis.
(1)In Northeast China, the beginning dates in spring and summer was positively correlated with altitude, but the dates in autumn and winter was negatively correlated with altitude. The beginning date in spring was positively correlated with latitude, but the dates in autumn and winter was negatively correlated with latitude. The beginning date of spring and summer was positively with longitude, but the date in winter was negatively correlated with longitude.
(2)Longitude, latitude, and altitude had different impacts on the start of four seasons. The beginning date of spring was influenced most by altitude, second by latitude, and least by longitude. The beginning date of summer was influenced most by altitude, followed by longitude. The beginning date of autumn was influenced most by latitude, followed by altitude. The beginning date of winter was influenced most by latitude, second by altitude, and least by longitude.
(3)Longitude, latitude, and altitude generally had different effects on the start of four seasons, with winter being the most affected, followed by spring, and to a lesser extent summer and fall.
This study identified the start time of four seasons with associated influencing facts in Northeast China, which would provide a scientific guidance for local crop seed selection and site selection, to promote the development of agriculture and economy.

参考文献/References:

[1] 周静, 肖国华, 武大勇, 等. 北戴河国家湿地公园后生浮游动物功能群季节分布及影响因子[J]. 河北大学学报(自然科学版), 2022, 42(2): 190-198. [ZHOU Jing, XIAO Guohua, WU Dayong, et al. Temporal distribution of metazoan zooplankton functional groups and environmental driving factors in Beidaihe national wetland park [J]. Journal of Hebei University(Natural Science Edition), 2022, 42(2): 190-198] DOI: 10.3969/j.issn.1000-1565.2022.02.013
[2] 陈正洪, 史瑞琴, 陈波. 季节变化对全球气候变化的响应——以湖北省为例[J]. 地理科学, 2009, 29(6): 911-916. [CHEN Zhenghong, SHI Ruiqin, CHEN Bo. Responses of changing of climatic seasons to global warming: A case of Hubei province in central China [J]. Scientia Geographica Sinica, 2009, 29(6): 911-916] DOI: 10.13249/j.cnki.sgs.2009.06.911
[3] 贺程程, 柏峰, 喻雨知, 等. 近56 a湖北荆州四季初日与季节长度变化特征[J]. 干旱气象, 2018, 36(4): 636-643+683. [HE Chengcheng, BAI Feng, YU Yuzhi, et al. Variation characteristics of the beginning date and length of four seasons in Jingzhou of Hubei province in recent 56 a [J]. Journal of Arid Meteorology, 2018, 36(4): 636-643+683] DOI: 10.11755/j.issn.1006-7639(2018)-04-0636
[4] 胡艳, 史军, 张敏. 长江三角洲地区四季变化特征及城市化影响研究[J]. 长江流域资源与环境, 2021, 30(6): 1343-1355. [HU Yan, SHI Jun, ZHANG Min. Variation in the starting date and length of four seasons and its urbanization effect in Yangtze River Delta during 1961-2017 [J]. Resources and Environment in the Yangtze Basin, 2021, 30(6): 1343-1355] DOI: 10.11870/cjlyzyyhj202106006
[5] 王亚明, 李丹阳, 石林芝, 等. 廊坊市近50 a四季初日及时间长度的变化[J]. 河北农业科学, 2020, 24(1): 75-79. [WANG Yaming, LI Danyang, SHI Linzhi, et al. Variation characteristics of beginning day and length of four seasons in Langfang city in recent 50 years [J]. Journal of Hebei Agricultural Sciences, 2020, 24(1): 75-79] DOI: 10.12148/hbnykx.20200003
[6] 曲学斌, 赵岳冀, 王彦平, 等. 1961—2016年内蒙古四季开始日期及长度变化特征[J]. 中国农学通报, 2019, 35(26): 129-134. [QU Xuebin, ZHAO Yueji, WANG Yanping, et al. Variation of the beginning date and length of four seasons in Inner Mongolia during 1961-2016 [J]. Chinese Agricultural Science Bulletin, 2019, 35(26): 129-134] DOI: 10.11924/j.issn.1000-6850.casb18050102
[7] 陈涛, 袁智生, 李超, 等. 湖南省近54年四季变化特征[J]. 气象科技, 2017, 45(5): 851-857. [CHEN Tao, YUAN Zhisheng, LI Chao, et al. Variation characteristics of four seasons in Hunan province in recent 54 years [J]. Meteorological Science and Technology, 2017, 45(5): 851-857] DOI: 10.19517/j.1671-6345.20160487
[8] ALLEN M J, SHERIDAN S C. Evaluating changes in season length, onset, and end dates across the United States(1948-2012)[J]. International Journal of Climatology, 2016, 36(3): 1268-1277] DOI: 10.1002/joc.4422
[9] 林长伟, 朱艳丽, 常晓丽. 东北地区四季气温变化趋势研究[J]. 国土与自然资源研究, 2018, 40(4): 68-72. [LIN Changwei, ZHU Yanli, CHANG Xiaoli. Study on the changing trend of temperature in the four seasons of northeast China [J]. Territory and Natural Resources Study, 2018, 40(4): 68-72] DOI: 10.16202/j.cnki.tnrs.2018.04.019
[10] 郁珍艳, 范广洲, 华维, 等. 近47年我国四季长度的变化研究[J]. 高原气象, 2011, 30(1): 182-190. [YU Zhenyan, FAN Guangzhou, HUA Wei, et al. Research for length change of four seasons over China in recent 47 years [J]. Plateau Meteorology, 2011, 30(1): 182-190] DOI: 1000-0534(2011)01-0182-09
[11] 任妍, 赵巧华. 1971—2013年我国四季开始日期及生长期长度的变化特征分析[J]. 气候与环境研究, 2017, 22(2): 203-211. [REN Yan, ZHAO Qiaohua. Analysis of changes in starting dates of the four seasons and the length of the growing season in China during 1971 to 2013 [J]. Climatic and Environmental Research, 2017, 22(2): 203-211] DOI: 10.3878/j.issn.1006-9585.2016.16030
[12] 秦爱民, 钱维宏, 蔡亲波. 1960—2000年中国不同季节的气温分区及趋势[J]. 气象科学, 2005, 25(4): 4338-4345. [QIN Aimin, QIAN Weihong, CAI Qinbo. Seasonal division and trend characteristic of air temperature in China in the last 41 years [J]. Scientia Meteorologica Scnica, 2005, 25(4): 4338-4345]
[13] 古亚丽, 范思睿. 青藏高原四季开始日期随海拔高度和纬度变化[J]. 高原山地气象研究, 2012, 32(3): 16-21. [GU Yali, FAN Sirui. Research on the relationships between the beginning data of seasons and the change of altitude and latitude [J]. Plateau and Mountain Meteorology Research, 2012, 32(3): 16-21] DOI: 10.3969/j.issn.1674-2184.2012.03.003
[14] 沈燕金, 张一扬, 李德青, 等. 文山烟叶主要化学成分与海拔经纬度相关性分析[J]. 湖南农业科学, 2015, 54(11): 29-31. [SHEN Yanjin, ZHANG Yiyang, LI Deqing, et al. Correlation analysis between chemical compositions of flue-cured tobacco leaves and altitude, longitude and latitude in Wenshan [J]. Hunan Agricultural Sciences, 2015, 54(11): 29-31] DOI: 10.16498/j.cnki.hnnykx.2015.11.009
[15] 刘珍环, 唐鹏钦, 范玲玲, 等. 1980—2010年东北地区种植结构时空变化特征[J]. 中国农业科学, 2016, 49(21): 4107-4119. [LIU Zhenhuan, TANG Pengqin, FAN Lingling, et al. Spatio-temporal changes of cropping types in northeast China during 1980-2010 [J]. Scientia Agricultura Sinica, 2016, 49(21): 4107-4119] DOI: 10.3864/j.issn.0578-1752.2016.21.005
[16] 《东北区域气候变化评估报告:2020》编写委员会. 东北区域气候变化评估报告:2020—决策者摘要[M]. 北京: 气象出版社, 2021: 3. [Editorial Board of Assessment Report of Regional Climate Change in Northeast: 2020. Assessment report of regional climate change in northeast: 2020-Summary for policymakers [M]. Beijing: China Meteorological Press, 2021:3]
[17] 孟鑫, 张瑜, 高松影, 等. 东北近60年盛夏降水特征及其与不同类型厄尔尼诺的联系[J]. 水土保持研究, 2022, 29(2): 170-178. [MENG Xin, ZHANG Yu, GAO Songying, et al. Characteristics of midsummer precipitation in northeast China during the last 60 years and its relationship with different types El Niño events [J]. Research of Soil and Water Conservation, 2022, 29(2): 170-178] DOI: 10.13869/j.cnki.rswc.2022.02.006
[18] 张寶堃. 中国四季之分配[J]. 地理学报, 1934, 1(1): 29-74+198. [ZHANG Baokun. The duration of four seasons in China [J]. Acta Geographica Sinica, 1934, 1(1): 29-74+198] DOI: 10.11821/xb193401002
[19] GB/T 42074-2022. 气候季节划分[S]. 北京: 国家市场监督管理总局、国家标准化管理委员会, 2022. [ GB/T 42074-2022. Division of climatic season [S]. Beijing: State Administration for Market Regulation, Standardization Administration, 2022]
[20] 郑红, 王艳秋, 苍蕴琦. 哈尔滨的四季与季节划分指标的探讨[J]. 黑龙江气象, 2001(3): 32-33. [ZHENG Hong, WANG Yanqiu, CANG Yunqi. Investigation on the four seasons of Harbin and division of season index [J]. Heilongjiang Meteorology, 2001(3): 32-33] DOI: 10.14021/j.cnki.hljqx.2001.03.011
[21] 范思睿, 范广洲, 董一平, 等. 青藏高原四季划分方法探讨[J]. 高原山地气象研究, 2011, 31(2): 1-11. [FAN Sirui, FAN Guangzhou, DONG Yiping, et al. Research of the seasonal division method on Tibetan Plateau [J]. Plateau and Mountain Meteorology Research, 2011, 31(2): 1-11] DOI: 10.3969/jissn.1674-2184.2011.02.001
[22] 严丽坤. 相关系数与偏相关系数在相关分析中的应用[J]. 云南财贸学院学报, 2003, 19(3): 78-80. [YAN Likun. Application of correlation coefficient and biased correlation coefficient in related analysis [J]. Journal of Yunnan University of Finance and Economics, 2003, 19(3): 78-80] DOI: 10.16537/j.cnki.jynufe.2003.03.018
[23] 傅德印. 对相关系数计算的系统分析[J]. 统计与信息论坛, 1994, 9(1): 15-19. [FU Deyin. Systematic analysis of correlation coefficient calculation [J]. Statistics and Information Forum, 1994, 9(1): 15-19]
[24] 汪柳皓, 魏显虎, 张宗科, 等. 青藏高原地区植被指数变化及其与温湿度因子的关系[J]. 森林与环境学报, 2022, 42(2): 141-148. [WANG Liuhao, WEI Xianhu, ZHANG Zongke, et al. NDVI variation and its relationship with temperature and precipitation on the Tibetan Plateau [J]. Journal of Forest and Environment, 2022, 42(2): 141-148] DOI: 10.13324/j.cnki.jfcf.2022.02.004
[25] 张邦林, 曾庆存. 论大气环流的季节划分和季节突变 II. 个别年份的分析[J]. 大气科学, 1998, 22(2): 129-136. [ZHANG Banglin, ZENG Qingcun. A study on the seasons of general atmospheric circulation and their abrupt changes_Part II: Case study of particular year [J]. Chinese Journal of Atmospheric Sciences, 1998, 22(2): 129-136] DOI: 10.1007/s00376-999-0032-1
[26] 陈阳, 马龙, 刘廷玺, 等. 中国北方地区季节降水与气温关系及其时空变异性[J]. 干旱区地理, 2021, 44(6): 1545-1558. [CHEN Yang, MA Long, LIU Tingxi, et al. Relationship between seasonal precipitation and temperature and its spatiotemporal variability in northern China [J]. Arid Land Geography, 2021, 44(6): 1545-1558.] DOI: 10.12118/j.issn.1000-6060.2021.06.04

备注/Memo

备注/Memo:
收稿日期(Received date): 2024- 01-10; 改回日期(Accepted date):2024- 04-18
基金项目(Foundation item): 地理信息工程国家重点实验室自主研究课题(SKLGIE2021-ZZ-8)。[State Key Laboratory of Geo-Information Engineering(SKLGIE2021-ZZ-8)]
作者简介(Biography): 张瑜(1988-),女,辽宁丹东人,硕士,工程师,主要研究方向:大气污染探测、数值预报模式、气候学。[ZHANG Yu(1988-), famale, born in Dandong, Liaoning province, M.Sc., engineer, research on atmospheric pollution detection, numerical forecasting model, clamatology] E-mail: 514950869@qq.com
更新日期/Last Update: 2024-03-30