Responses of Drought with Different Time Scalese to the ENSO Events in the Yellow River Basin

Zhou Dan; Zhang Bo; An Meiling; Zhang Yaozong; Luo Jing

doi:10.7522/j.issn.1000-694X.2014.00068

Journal of Desert Research >

2015 , Vol. 35 >Issue 3: 753 - 762

DOI: https://doi.org/10.7522/j.issn.1000-694X.2014.00068

Responses of Drought with Different Time Scalese to the ENSO Events in the Yellow River Basin

Zhou Dan ,
Zhang Bo ,
An Meiling ,
Zhang Yaozong ,
Luo Jing

Expand

1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China;
2. College of Life and Geographical Science, Qinghai Normal University, Xining 810008, China

Received date: 2014-03-24

Revised date: 2014-06-23

Online published: 2015-05-20

Fold

Abstract

Drought disaster, one of the main natural disasters in China, impacts the people's lives and social production to different extends. Taking the Yellow River Basin as study area, standardized precipitation evapotranspiration index (SPEI) at different time scales were calculated using monthly temperature and precipitation data during 1963-2012. Temporal-spatial correlations between SPEI and the Nino 3.4 sea surface temperature anomaly (SSTA) of the different time scales reveal the response of drought (SPEI) to the ENSO at different time scales and the impacts of ENSO to regional precipitation and temperature in the Yellow River Basin. (1) Droughts of 1, 3, 6 months' time scales in the Yellow River Basin occurred in each time segment. Droughts of 12, 24 months' time scales mainly occurred in late twentieth century and early twenty-first century in recent 20years. There is a negative correlation between SPEI at different time scales and SSTA in the upper and middle reaches of the Yellow River Basin, while positive correlation in lower reaches. (2) Correlations between SPEI at different time scales and SSTA show large spatial heterogeneity in the Yellow River Basin. Positive correlation mainly is distributed in the upper reaches of the Yellow River Basin, Ningxia, Inner Mongolia, Shaanxi and Northern Shanxi, and the lower reaches of the Yellow River Basin, and the rest are negative correlation. The significant (at significant level of 0.05) proportions of the whole basin at 1, 3, 6, 12 months and 24 months' time scales were 14%, 43%, 61%, 75% and 44% respectively. (3) The weak correlation of ENSO event intensity and precipitation occurred in the upper reaches of the Yellow River, and there was a remarkable negative correlation in the middle and lower reaches. It indicated that the enhanced ENSO would reduce the precipitation and vice versa. Temperature showed a significant positive correlation with ENSO, and the enhanced ENSO would raise the temperature. The El Ni o would raise the temperature, and the La Ni a would reduce the temperature.

Key words： Yellow River Basin; multi-time scale; drought; ENSO; correlation analysis

Cite this article

Zhou Dan , Zhang Bo , An Meiling , Zhang Yaozong , Luo Jing . Responses of Drought with Different Time Scalese to the ENSO Events in the Yellow River Basin[J]. Journal of Desert Research, 2015 , 35(3) : 753 -762 . DOI: 10.7522/j.issn.1000-694X.2014.00068

References

[1] 邱海军, 曹明明, 郝俊卿, 等.1950—2010年中国干旱灾情频率-规模关系分析[J].地理科学, 2013, 33(5):576-580.
[2] 张伟东, 石霖.区域干旱帕默尔旱度指标的修正[J].地理科学, 2011, 31(2):153-158.
[3] Wilhite D A.Drought as a natural hazard:concepts and definitions[M]//Drought:A Global Assessment.London, UK:Routledge, 2000:3-18.
[4] 王劲松, 郭江勇, 周跃武, 等.干旱指标研究的进展与展望[J].干旱区地理, 2007, 30(1):61-67.
[5] 周丹, 张勃, 沈彦俊.潜在蒸散量估算方法对干旱侦测指数计算的影响[J].中国农业气象, 2014, 35(3):266-275.
[6] 孙智辉, 王治亮, 曹雪梅, 等.基于标准化降水指数的陕西黄土高原地区1971—2010年干旱变化特征[J].中国沙漠, 2013, 33(5):1560-1567.
[7] 马柱国, 符淙斌.20世纪下半叶全球干旱化的事实及其与大尺度背景的联系[J].中国科学(D辑), 2007, 37(2):222-233.
[8] 王素萍, 张存杰, 李耀辉, 等.基于标准化降水指数的1960—2011年中国不同时间尺度干旱特征[J].中国沙漠, 2014, 34(3):827-834.
[9] Vicente-Serrano S M, Beguería S, López-Moreno J I.A multi-scalar drought index sensitive to global warming:the standardized precipitation evapotranspiration index[J].Journal of Climate, 2010, 23(7):1696-1718.
[10] Vicente-Serrano S M, López-Moreno J I, Lorenzo-Lacruz J, et al.The NAO impact on droughts in the Mediterranean region[J].Advances in Global Change Research, 2011, 46:23-40.
[11] Timilsena J, Piechota T, Tootle G, et al.Associations of inter-decadal/inter-annual climate variability and long-term Colorado River Basin stream flow[J].Journal of Hydrology, 2009, 365(3/4):289-301.
[12] 孙建奇, 袁薇, 高玉中.阿拉伯半岛-北太平洋型遥相关及其与亚洲夏季风的关系[J].中国科学(D辑), 2008, 38(6):750-762.
[13] 沈晓琳.北极涛动与ENSO对华北极端气候事件的影响[D].北京:中国气象科学研究院, 2012.
[14] 陈文, 兰晓青, 王林, 等.ENSO和北极涛动对东亚冬季气候异常的综合影响[J].科学通报, 2013, 58(8):634-641.
[15] Kiladis G N, Diaz H F.Global climate anomalies associated with extremes in the Southern Oscillation[J].Climate, 1989, (2):791-802.
[16] 李志, 王健, 刘文兆.泾河流域气候变化及其与ENSO的关系[J].地理科学进展, 2010, 29(7):833-839.
[17] 龚道溢, 王绍武.近百年ENSO对全球陆地及中国降水的影响[J].科学通报, 1999, 44(3):315-320.
[18] 叶正伟, 许有鹏, 潘光波.江淮下游汛期降水与ENSO冷暖事件的关系--以里下河腹部地区为例[J].地理研究, 2013, 32(10):1824-1832.
[19] 孟万忠, 王尚义, 赵景波.ENSO事件与山西气候的关系[J].中国沙漠, 2013, 33(1):258-264.
[20] 黄河水利委员会黄河志总编辑室.黄河流域综述[M].郑州:河南人民出版社, 1998.
[21] 王秋香, 李庆祥, 周昊楠, 等.中国降水序列均一性研究及对比分析[J].气象, 2012, 38(11):1390-1398.
[22] 许武成, 马劲松, 王文.关于ENSO事件及其对中国气候影响研究的综述[J].气象科学, 2005, 25(2):212-220.
[23] 杨东, 王慧, 程军奇, 等.近50年青海省气候变化特征及其与ENSO的关系[J].生态环境学报, 2013, 22(4):547-553.
[24] 李晓燕, 翟盘茂, 任福民.气候标准值改变对ENSO事件划分的影响[J].热带气象学报, 2005, 21(1):72-78.
[25] 周丹, 张勃, 任培贵, 等.基于标准化降水蒸散指数的陕西省近50年干旱特征分析[J].自然资源学报, 2014, 29(4):677-688.
[26] Vangelis H, Tigkas D, Tsakiris G.The effect of PET method on reconnaissance drought index calculation[J].Journal of Arid Environments, 2013, 88:130-140.
[27] Thornthwaite C W.An approach toward a rational classification of climate[J].Geographical Reviews, 1948, 38:55-94.
[28] 徐建华.现代地理学中的数学方法[M].北京:高等教育出版社, 2002.
[29] 王劲松, 李忆平, 任余龙, 等.多种干旱监测指标在黄河流域应用的比较[J].自然资源学报, 2013, 28(8):1337-1349.

Options

Outlines

模态框（Modal）标题

Abstract

Cite this article

References