延安市安塞区极端降水变化特征

doi:10.13287/j.1001-9332.202104.015

应用生态学报 ›› 2021, Vol. 32 ›› Issue (4): 1417-1423.doi: 10.13287/j.1001-9332.202104.015

延安市安塞区极端降水变化特征

王国强¹, 姜基春¹, 焦峰^1,2*

¹西北农林科技大学水土保持研究所, 陕西杨凌 712100;
²中国科学院水利部水土保持研究所, 陕西杨凌 712100

收稿日期:2020-11-05 接受日期:2021-01-27 发布日期:2021-10-25
通讯作者: *E-mail: Jiaof@ms.iswc.ac.cn
作者简介:王国强, 男, 1994年生, 硕士研究生。主要从事水资源分析与评价研究。E-mail: 924691451@qq.com
基金资助:
科技基础性工作专项(2014FY210130)资助

Characteristics of extreme precipitation in Ansai District of Yan’an City, China.

WANG Guo-qiang¹, JIANG Ji-chun¹, JIAO Feng^1,2*

¹Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
²Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China

Received:2020-11-05 Accepted:2021-01-27 Published:2021-10-25
Contact: *E-mail: Jiaof@ms.iswc.ac.cn
Supported by:
Special Project of Basic Work of Science and Technology(2014FY210130).

摘要/Abstract

摘要： 以1980—2019年安塞气象站的日降水资料为基础选取11个极端降水指标,从降水强度和降水频率的角度对安塞区的极端降水数据进行分析,并对未来极端降水趋势进行预测。结果表明: 1980—2019年,安塞区极端降水指标总体呈现下降趋势,其中,大雨以上日数和普通日降水强度的下降趋势达到显著水平,其气候倾向斜率分别为-0.65 d·(10 a)^-1和-0.32 mm·d^-1·(10 a)^-1。除持续湿润日数和极端降水总量外,其余极端降水指标均存在突变点,突变之后各指标多呈下降趋势,且年降水量、中雨以上日数、大雨以上日数、暴雨以上日数、异常降水总量、普通日降水强度的下降趋势达到显著水平。持续干燥日数与其他指标的相关性较低且与一些指标呈负相关,而持续湿润日数只与少数几个指标具有相关性,此外,其他极端降水指标之间均呈显著相关。Hurst指数分析表明,未来安塞区极端降水总体变化趋势具有持续性。

关键词: 黄土高原, 极端降水指数, Mann-Kendall突变分析法, R/S分析法

Abstract: The extreme precipitation characteristics of Ansai District in 40 years was analyzed from the perspective of precipitation intensity and precipitation frequency with 11 extreme precipitation indices, based on daily precipitation data of Ansai Meteorological Station from 1980 to 2019. The trend of extreme precipitation in the future was predicted. The results showed that the extreme precipitation indicators generally showed a downward trend during 1980-2019. The downtrend of heavy precipitation days and simple daily precipitation intensity reached significant level, with their climate tendency slopes being -0.65 d·(10 a)^-1, -0.32 mm·d^-1·(10 a)^-1, respectively. Except for consecutive wet days and extremely wet day precipitation, the other extreme precipitation indices had mutation points. After the mutation, most of them had a downward trend, with significant decreases of annual precipitation, moderate precipitation days, heavy precipitation days, very heavy precipitation days, very wet day precipitation, simple daily precipitation intensity. The correlation between the consecutive dry days and other indicators was low and negatively correlated with some indicators, while the consecutive wet days were only correlated with a few indicators. In addition, other extreme precipitation indicators were significantly correlated. Results of the Hurst index analysis showed that the trend of extreme precipitation in Ansai District was sustainable.

Key words: Loess Plateau, extreme precipitation index, Mann-Kendall analysis method, R/S analysis method

王国强, 姜基春, 焦峰. 延安市安塞区极端降水变化特征[J]. 应用生态学报, 2021, 32(4): 1417-1423.

WANG Guo-qiang, JIANG Ji-chun, JIAO Feng. Characteristics of extreme precipitation in Ansai District of Yan’an City, China.[J]. Chinese Journal of Applied Ecology, 2021, 32(4): 1417-1423.

参考文献

[1] 任正果, 张明军, 王圣杰, 等. 1961—2011年中国南方地区极端降水事件变化. 地理学报, 2014, 69(5): 640-649 [Ren Z-G, Zhang M-J, Wang S-J, et al. Changes in precipitation extremes in South China during 1961-2011. Acta Geographica Sinica, 2014, 69(5): 640-649]
[2] Liang P, Ding YH. The long-term variation of extreme heavy precipitation and its link to urbanization effects in Shanghai during 1916-2014. Advances in Atmospheric Sciences, 2017, 34: 321-334
[3] Alexander LV, Zhang X, Peterson TC, et al. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research: Earth Surface, 2006, 111: 1-22
[4] Abbasnia M, Toros H. Analysis of long-term changes in extreme climatic indices: A case study of the Mediterranean climate, Marmara Region, Turkey. Pure and Applied Geophysics, 2018, 175: 3861-3873
[5] 李志, 郑粉莉, 刘文兆. 1961—2007年黄土高原极端降水事件的时空变化分析. 自然资源学报, 2010, 25(2): 291-299 [Li Z, Zheng F-L, Liu W-Z. Analyzing the spatial-temporal changes of extreme precipitation events in the Loess Plateau from 1961 to 2007. Journal of Natural Resources, 2010, 25(2): 291-299]
[6] 王利娜, 朱清科, 仝小林, 等. 黄土高原近50年降水量时空变化特征分析. 干旱地区农业研究, 2016, 34(3): 206-212 [Wang L-N, Zhu Q-K, Tong X-L, et al. Characteristic analysis of temporal and spatial variation of precipitation during recent 50 years in Loess Pla-teau. Agricultural Research in the Arid Areas, 2016, 34(3): 206-212]
[7] Sun WY, Shao QQ, Liu JY. Soil erosion and its response to the changes of precipitation and vegetation cover on the Loess Plateau. Journal of Geographical Sciences, 2013, 23: 1091-1106
[8] 佘敦先, 夏军, 张永勇, 等. 近50年来淮河流域极端降水的时空变化及统计特征. 地理学报, 2011, 66(9): 1200-1210 [She D-X, Xia J, Zhang Y-Y, et al. The trend analysis and statistical distribution of extreme rainfall events in the Huaihe River basin in the past 50 years. Acta Geographica Sinica, 2011, 66(9): 1200-1210]
[9] Limsakul A, Singhruck P. Long-term trends and variability of total and extreme precipitation in Thailand. Atmospheric Research, 2016, 169: 301-317
[10] Wijngaard JB, Tank AMGK, Können GP. Homogeneity of 20th century European daily temperature and precipitation series. International Journal of Climatology, 2003, 23: 679-692
[11] Ren GY, Ding YH, Zhao ZC, et al. Recent progress in studies of climate change in China. Advances in Atmospheric Sciences, 2012, 29: 958-977
[12] 鲁菁, 张玉虎, 高峰, 等. 近40年三江平原极端降水时空变化特征分析. 水土保持研究, 2019, 26(2): 272-282 [Lu J, Zhang Y-H, Gao F, et al. Temporal and spatial variation characteristics of extreme precipitation in the Sanjiang Plain in recent 40 years. Research of Soil and Water Conservation, 2019, 26(2): 272-282]
[13] Zhang M, Chen YN, Shen YJ, et al. Changes of preci-pitation extremes in arid Central Asia. Quaternary International, 2017, 436: 16-27
[14] 李春娟, 杨建虎. 孤山川流域降水变化特征及趋势分析. 地下水, 2012, 34(4): 136-138 [Li C-J, Yang J-H. Analysis on variation characteristics and trends of precipitation in Gushanchuan watershed. Ground Water, 2012, 34(4): 136-138]
[15] 宋晓猛, 张建云, 刘九夫, 等. 北京地区降水结构时空演变特征. 水利学报, 2015, 46(5): 525-535 [Song X-M, Zhang J-Y, Liu J-F, et al. Spatial-temporal variation characteristics of precipitation pattern in Beijing. Journal of Hydraulic Engineering, 2015, 46(5): 525-535]
[16] Güçlü YS. Multiple Şen-innovative trend analyses and partial Mann-Kendall test. Journal of Hydrology, 2018, 566: 685-704
[17] 郑江禹, 张强, 史培军, 等. 珠江流域多尺度极端降水时空特征及影响因子研究. 地理科学, 2017, 37(2): 283-291 [Zheng J-Y, Zhang Q, Shi P-J, et al. Spatiotemporal characteristics of extreme precipitation regimes and related driving factors in the Pearl River basin. Scientia Geographica Sinica, 2017, 37(2): 283-291]
[18] 樊毅, 李靖, 仲远见, 等. 基于R/S分析法的云南干热河谷降水变化趋势分析. 水电能源科学, 2008(2): 24-27 [Fan Y, Li J, Zhong Y-J, et al. Analysis on change trend of precipitation in Yunnan Dry-Hot Valley region based on rescaled range analysis method. Water Resources and Power, 2008(2): 24-27]
[19] 潘雅婧, 王仰麟, 彭建, 等. 基于小波与R/S方法的汉江中下游流域降水量时间序列分析. 地理研究, 2012, 31(5): 811-820 [Pan Y-J, Wang Y-L, Peng J, et al. Precipitation change in middle and lower Reaches of Hanjiang River: Based on wavelet analysis and R/S analysis. Geographical Research, 2012, 31(5): 811-820]
[20] 邢贞相, 闫丹丹, 刘美鑫, 等. 三江平原近60年降水量时空变异特征分析. 农业机械学报, 2015, 46(11): 337-344 [Xing Z-X, Yan D-D, Liu M-X, et al. Spatiotemporal variability analysis of annual precipitation in Sanjiang Plain in recent sixty years. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(11): 337-344]
[21] Wang HL, Shao ZH, Gao T, et al. Extreme precipita-tion event over the Yellow Sea western coast: Is there a trend? Quaternary International, 2017, 441: 1-17
[22] 李双双, 孔锋, 韩鹭, 等. 陕北黄土高原区极端降水时空变化特征及其影响因素. 地理研究, 2020, 39(1): 140-151 [Li S-S, Kong F, Han L, et al. Spatiotemporal variability of extreme precipitation and influencing factors on the Loess Plateau in northern Shaanxi Province. Geographical Research, 2020, 39(1): 140-151]
[23] 谷洪波, 彭诗韵, 麻湘琳. 国外干旱典型区农业防旱抗旱政策及对我国的启示. 云南农业大学学报: 社会科学版, 2017, 11(2): 18-23 [Gu H-B, Peng S-Y, Ma X-L. Agriculture drought preparedness policy of foreign typical arid zone and its revelation to China. Journal of Yunnan Agricultural University: Social Science, 2017, 11(2): 18-23]
[24] 温学松. 赣南农业抗旱分析及对策. 江西水利科技, 2012, 38(2): 92-94 [Wen X-S. Drought control and countermeasure on the agriculture of South Gan. Jiangxi Hydraulic Science & Technology, 2012, 38(2): 92-94]

延安市安塞区极端降水变化特征

Characteristics of extreme precipitation in Ansai District of Yan’an City, China.

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