| 摘要: |
| 利用延安气象站1951—2012年日平均气温资料，运用五日滑动平均法、一元线性回归等方法对界限温度≥10℃的初日、终日、持续天数以及活动积温进行了分析，并对初日、终日、持续时间以及活动积温与年平均气温的相关关系进行探讨。结果表明：界限温度≥10℃的初日呈现出提前趋势，气候倾向率为−1.845 d·(10a) −1；终日呈现出推迟趋势，变化倾向率为2.437 d·(10a) −1；持续时间延长，变化倾向率为4.189 d·(10a) −1；活动积温也增加，气候变化倾向率为106.57℃·(10a) −1。界限温度≥10℃的初日、终日、持续时间以及活动积温与年平均气温存在显著相关，其中活动积温与年平均气温相关系数高达0.882，回归分析显示年平均气温每升高1℃时，界限温度≥10℃的活动积温增加217℃。 |
| 关键词: 活动积温 变化特征 延安市 |
| DOI：10.7515/JEE182067 |
| CSTR：32259.14.JEE182067 |
| 分类号: |
| 基金项目:陕西省教育厅重点实验室科研计划项目（17JS005）；黄土与第四纪地质国家重点实验室开放基金项目（SKLLQG1801，SKLLQG1711）；陕西省普通高校第二批青年杰出人才支持计划（2018）；宝鸡文理学院重点项目（ZK2018047） |
| 英文基金项目:Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Modeling (17JS005); Open Fund of State Key ?Laboratory of Loess and Quaternary Geology (SKLLQG1801, SKLLQG1711); Second Outstanding Young Talents of Shaanxi Universities (2018); Key Program of Baoji University of Arts and Sciences (ZK2018047) |
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| Accumulated temperature variation characteristics of the boundary temperature ≥10℃ in Yan’an |
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BAO Guang, QU Yong, LIU Na, HU Yafei
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1. Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, School of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China
2. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China
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| Abstract: |
| Background, aim, and scope Yan’an is located on the northern part of the Loess Plateau as well as the edge of the Asian summer monsoon. Because of the monsoon climatic condition, Yan’an is considered to be a sensitive place to study the impacts of global warming on regional climate change. Boundary temperatures are important indicators for measuring the caloric status on the regional scale, and their variation characteristics exhibit significance on agricultural production. This study explores the features of the onset day, end day, duration and activity accumulated temperature of the boundary temperature ≥10℃ in the past 62 years in Yan’an, Shaanxi Province. Materials and methods Based on the daily average temperature data of Yan’an Meteorological Station from 1951 to 2012, the five-day moving average method and linear regression method were performed to study the onset day, end day, duration and activity accumulated temperature of the boundary temperature ≥10°C. Correlations between the variables mentioned above and the annual average temperature were analyzed. Results The results showed that the onset day series of the boundary temperature ≥10℃ displaying an advanced trend with a tendency rate of −1.845 d·(10a) −1, the delayed trend existed in the end day series with a change rate of 2.437 d·(10a) −1, the duration was prolonged with a rate of 4.189 d·(10a) −1, and the activity accumulated temperature increased with a rate of 106.57℃·(10a) −1. The onset day, end day, duration and activity accumulated temperature of the boundary temperature ≥10℃ were significantly correlated with the annual average temperature. The highest correlation coefficient between the active accumulated temperature and the annual average temperature was 0.882. The regression analysis showed that the activity accumulated temperature ≥10℃ could increase 217℃ when the annual average temperature enhanced 1℃. Discussion Global warming has a wide-ranging impact on the natural environment and human society. The analysis of special temperature features on the regional and local scales could be useful to reduce the adverse effects of climate change and improve adaptability. Conclusions The variables of temperature ≥10℃ including the onset day, end day, duration and activity accumulated temperature generally showed trends consistent with global warming from 1951 to 2012, which confirmed the regional temperature variation coinciding with the global scale context. Recommendations and perspectives The variations of special temperature such as the boundary temperature ≥10℃ are very important to sustainable development of regional natural environment and human society. To identify the features of the onset day, end day, duration and temperature in a long-term span could be helpful to reduce climate disaster risks and improve defense against global warming in the future. |
| Key words: activity accumulated temperature characteristic analysis Yan’an |
