基于统计方法对我国温带季风区气候变化的分析
Analysis of Climate Change in China’s Temperate Monsoon Region Based on Statistical Methods
DOI: 10.12677/SA.2020.96111, PDF,   
作者: 程 臻:中央财经大学,北京
关键词: 温带季风区气候变化分析Temperate Monsoon Region Climate Change Analysis
摘要: 以昌乐地区为例,尝试总结小范围温带季风区气候的气温、降水变化规律,并简要预测其变动趋势。文中选取了1961~2019年山东省昌乐县的气温与降水数据,分别利用线性趋势估计、小波分析、R/S分析计算Hurst特征值的方法对气象指标进行分析。通过研究,发现昌乐地区已经对于全球气候变暖做出了响应。气温方面,表现为年均温显著上升,年际最低温大幅上升,候温划分法下的季节长度产生变动,冬季明显缩短,夏季时长进一步增加。降水方面,年均降水和汛期、非汛期降水变动较为稳定,保持着以27a为主要周期的波动规律,但汛期的降水集中期显著后移。
Abstract: With the increasingly severe situation of global warming, the climate in various regions of the world responds to the warming and presents different change characteristics. Taking Changle region as an example, this paper attempts to summarize the climate change rules of temperature and precipitation in a small range of temperate monsoon regions, and to predict the change trend. In this paper, the temperature and precipitation data of Changle region from 1961 to 2019 were selected, and the meteorological indicators were analyzed by using linear trend estimation, wavelet analysis and R/S analysis to calculate the characteristic value of Hurst. The study found that Changle region has made response to global warming. In terms of temperature, the annual average temperature and the lowest annual temperature increased significantly, the length of the season under the method of temperature division changed, the winter was significantly shortened, and the length of the summer was further increased. In terms of precipitation, the annual average precipitation and precipitation in flood season and non-flood season are relatively stable, maintaining the fluctuation rule with 27a as the main period, but the precipitation concentration period in flood season is significantly backward.
文章引用:程臻. 基于统计方法对我国温带季风区气候变化的分析[J]. 统计学与应用, 2020, 9(6): 1060-1072. https://doi.org/10.12677/SA.2020.96111

参考文献

[1] 周天军, 邹立维. IPCC第五次评估报告全球和区域气候预估图集评述[J]. 气候变化研究进展, 2014, 10(2): 149-152.
[2] 施雅风. 全球和中国变暖特征及未来趋势[J]. 自然灾害学报, 1996(2): 5-14.
[3] 刘建霞, 李洪轩, 王奕博, 焦洋洋. 极端天气事件与全球变暖的矛盾及相关性研究[J]. 河南科技, 2020(2): 150-152.
[4] 闫军辉, 周晓, 刘明华, 严育通, 傅辉, 李丹阳. 1951~2015年信阳极端温度事件变化及其对全球变暖的响应[J]. 信阳师范学院学报(自然科学版), 2017, 30(1): 82-86.
[5] 王伟. 青岛气温异常与全球海表温度异常的相关分析[D]: [硕士学位论文]. 青岛: 中国海洋大学, 2012.
[6] 李燕. 全球变暖气候对广西岩溶植被景观自然分布规律的影响[J]. 科技通报, 2019, 35(2): 37-41.
[7] 吴楚樵. 江淮流域梅雨期气候对全球气候变暖的响应[D]: [硕士学位论文]. 兰州: 兰州大学, 2019.
[8] 王欢, 李栋梁. 气候变暖背景下全球海温对中国东部夏季降水年代际转折的影响[J]. 热带气象学报, 2019, 35(3): 398-408.
[9] Datta, P. and Das, S. (2019) Analysis of Long-Term Precipitation Changes in West Bengal, India: An Approach to Detect Monotonic Trends Influenced by Autocorrelations. Dynamics of Atmospheres and Oceans, 88, 11-18.
[Google Scholar] [CrossRef
[10] Hyun, J.W., Burman, P. and Paul, D. (2018) Local Linear Estimation for Spatial Random Processes with Stochastic Trend and Stationary Noise. Sankhya B, 80, 369-394.
[Google Scholar] [CrossRef] [PubMed]
[11] 骆敬新, 范文静. 基于线性倾向估计和预测方法的渤海沿海暑期气候舒适度变化研究[J]. 海洋信息, 2019, 34(4): 32-36.
[12] Prasad, L. and Iyengar, S.S. (2020) Wavelet Analysis with Applications to Image Processing. CRC Press, Boca Raton.
[Google Scholar] [CrossRef
[13] 李险峰, 朱海霞, 李秀芬, 王萍, 姜丽霞, 赵慧颖. 1961~2018年黑龙江省干湿气候的时空格局特征[J]. 东北林业大学学报, 2019, 47(12): 73-78, 99.
[14] 王俊骄, 张雅旎, 孙晓燕. 综合R/S法和Mann-Kendall法分析杭州市60年小雨降水日趋势变化[J]. 科技通报, 2019, 35(12): 41-45.
[15] 陈江峰, 龚书浩, 李迎超. 基于R/S分析的阿坝藏族羌族自治州年降雨量定量预测[J]. 中国水土保持, 2019(7): 30-33.
[16] Turcotte, D.L. (1997) Fractals and Chaos in Geology and Geophysics. 2nd Edition, Cambridge University Press, Cambridge, 158-162.
[Google Scholar] [CrossRef