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[1]ZHU Shengnan,LIU Weilin,WAN Yifan,et al.Temporal and Spatial Distribution Characteristics of Drought and Its Correlation with ENSO in Fuhe River Basin[J].Research of Soil and Water Conservation,2020,27(06):131-138.

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Temporal and Spatial Distribution Characteristics of Drought and Its Correlation with ENSO in Fuhe River Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 27 Number of periods: 2020 06 Page number: 131-138 Column: 目次 Public date: 2020-10-20

Title:: Temporal and Spatial Distribution Characteristics of Drought and Its Correlation with ENSO in Fuhe River Basin

Author(s):: ZHU Shengnan¹, LIU Weilin¹, WAN Yifan¹, HUANG Yipeng¹, WU Bin¹, LIU Lina¹, YANG Chuanyang²; (1.Jiangxi Provincial Key Laboratory of Hydrology, Water Resources and Water Environment, Nanchang Institute of Technology, Nanchang 330099, China; 2.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

Keywords:: Fuhe River Basin; SPI; drought; ENSO events

CLC:: P426.616; P732

DOI:: -

Abstract:: In order to analyze the spatial and temporal distribution characteristics of drought and to explore its correlation with ENSO events, based on the monthly precipitation data from 1960 to 2005 in 9 meteorological stations in the Fuhe River Basin, according to the calculated SPI, the MK trend test and correlation analysis were used to analyze the characteristics of monthly, four seasons, annual droughts and spatial changes in Fuhe River Basin from 1960 to 2005, and to study the relationship between ENSO events and the region. The results showed that there was a tendency of drought in the spring in the watershed and a trend of humidification in the winter; in the 1960s and 1970s, there were many droughts with high intensity; from 1990 to 2005, the degree and frequency of droughts in the river basin as a whole increased. In terms of spatial changes, the high frequency of drought in each season concentrated in the northeast of the basin: in the Chongren in spring, Nanfeng and Lichuan in summer, Fuzhou and Jinxi in autumn, and Dongxiang in winter. The correlation between the SSTA index and the SPI index in the Fuhe River Basin in spring was the most obvious, and then decreased in autumn and summer. The polynomial fitting relationship between the intensity of the ENSO event and the SPI influencing factors of the Fuhe River Basin showed that the precipitation of the ENSO event in the warm event year was very obvious, and the possibility of drought was greater than that in the cold event year, the greater the intensity of the ENSO warm event, the more likely a severe drought event will occur in the study area. The response of the drought to the El Niño and La Niña events was the most significant after lagging by 1 to 2 months and 3 to 4 months, respectively.

References:: [1] 王东,张勃,安美玲,等.基于SPEI的西南地区近53 a干旱时空特征分析[J].自然资源学报,2014,29(6):1003-1016.
[2] Reinman S L. Intergovernmental Panel on Climate Change(IPCC)[J]. Reference Reviews, 2013,26(2):41-42.
[3] 徐泽华,韩美,张广彩,等.山东降水时空分布变化及其影响因素[J].水土保持研究,2018,25(3):272-278.
[4] 吴绍飞,张翔,王俊钗,等.基于站点降雨量最优拟合函数的SPI指数计算[J].干旱区地理:汉文版,2016,39(3):555-564.
[5] 肖丽英.基于SPI的鄱阳湖流域多尺度旱涝变化规律的研究[J].南昌工程学院学报,2017,36(3):24-27.
[6] Timilsena J, Piechota T, Tootle G, et al. Associations of interdecadal/interannual climate variability and long-term colorado river basin streamflow[J]. Journal of Hydrology, 2009,365(3):289-301.
[7] 洪兴骏,郭生练,马鸿旭,等.基于SPI的鄱阳湖流域干旱时空演变特征及其与湖水位相关分析[J].水文,2014,34(2):25-31.
[8] 赵茹欣,王会肖,杨会彩,等.基于标准降水指数的黑龙江省气象干旱特征分析[J].节水灌溉,2017(12):56-62,67.
[9] Dai A. Drought under global warming: a review[J]. Wiley Interdisciplinary Reviews Climate Change, 2011,2(1):45-65.
[10] Mishra A K, Singh V P. A review of drought concepts[J]. Journal of Hydrology, 2010,391(1):202-216.
[11] 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:地球科学, 2008,38(6): 750-762.
[12] 刘卫林,刘丽娜,查思慧,等.抚河临水流域径流量变化及其对降雨的响应[J].南昌工程学院学报,2017,36(6):24-30.
[13] 曾钦文,殷美祥,曾思亮,等.近57 a河源地区降水变化特征及其与ENSO事件的关系[J].广东水利水电,2018(3):38-42.
[14] 刘卫林,刘丽娜.修河流域洪水变化特征及其对气候变化的响应[J].水土保持研究,2018,25(5):316-322.
[15] 罗剑锋,陈敏,李煜,等.两类ENSO事件对长江中下游地区季节降水的影响[J].南水北调与水利科技,2018,16(4):82-89.
[16] 中国气象科学研究院,国家气象中心,中国气象局预测减灾司.气象干旱等级GB/T20481—2017[S].北京:中国标准出版社,2017.
[17] 魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社,2007.
[18] 赵永平,陈永利.一百多年来ENSO事件分类和ENSO循环研究[J].海洋湖沼通报,1998(3):7-12.
[19] 孙秋慧,徐国宾,马超,等.基于SPI干旱指数的海口市干旱变化特征研究[J].南水北调与水利科技,2018,16(4):58-65.
[20] 徐泽华,韩美.山东省降雨侵蚀力与气候指数关系研究[J].生态与农村环境学报,2018,34(10):18-27.
[21] 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.
[22] 钮智旺.南海表层水温的长周期变化及其与埃尔尼诺的耦合关系[D].山东青岛:中国海洋大学,2005.
[23] 李崇银.关于ENSO本质的进一步研究[J].气候与环境研究,2002,7(2):160-174.
[24] 信忠保,谢志仁.宁夏气候变化对ENSO事件的响应[J].干旱区地理,2005,28(2):239-243.
[25] 李芬,张建新,郝智文,等.山西降水与ENSO的相关性研究[J].地理学报,2015,70(3):420-430.

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Last Update: 2020-10-20