Abstract:Based on the core database of web of science and the literature about meteorological drought in China National Knowledge Infrastructure, using the CiteSpace visualization software, using the methods of keyword frequency analysis, time zone evolution, Co-citation analysis and citation network structure transformation, this paper comprehensively analyzes the domestic and abroad research hotspots and research frontier evolution trend of meteorological droughts and forecasts the future development trend.The results show that:① the international themes of meteorological drought are diversified, including the establishment of meteorological drought indicators, drought climate change, drought causes and other aspects, and the themes are closely related; the domestic research themes are mainly focused on the establishment of drought indicators, and correspondence between related hotspots is weak.②Foreign countries have taken the lead in researching the causes and driving mechanisms of drought. In recent years, domestic researches have been relatively few and not deep enough, and the research content has been solidified.③Through the method of citation network structure transformation, it is predicted that the literatures with potential influence include BACHMAIR S(2016)和 VAN LOON ANNE F(2015), and the topics include SPEI, Drought severity indices, Dendroclimatology and so on. Through the comparison of domestic and foreign visual maps, the paper analyzes the development differences at home and abroad, and puts forward suggestions for the future drought research in China.
曹永强, 路洁. 国内外气象干旱研究现状与前沿分析[J]. 中国防汛抗旱, 2021, 31(3): 1-7.
CAO Yongqiang, LU Jie. Research status and frontier analysis of meteorological drought at domestic and abroad. journal1, 2021, 31(3): 1-7.
[1] 孙艺杰, 刘宪锋, 任志远, 等. 1960-2016年黄土高原干旱和热浪时空变化特征[J]. 地理科学进展, 2020, 39(4):591-601. [2] Mishra A K, Singh V P. A review of drought concepts[J]. Journal of Hydrology, 2010, 391(1-2):202-216. [3] 李明, 胡炜霞, 王贵文, 等. 基于Copula函数的中国东部季风区干旱风险研究[J]. 地理科学, 2019, 39(3):506-515. [4] 闫昕旸, 张强, 闫晓敏, 等. 全球干旱区分布特征及成因机制研究进展[J]. 地球科学进展, 2019, 34(8):826-841. [5] 刘宪锋, 朱秀芳, 潘耀忠, 等. 农业干旱监测研究进展与展望[J]. 地理学报, 2015, 70(11):1835-1848. [6] Giorgos Kallis. Droughts[J]. Annual Review of Environment and Resources, 2008, 33:85-118. [7] 崔修来, 孙瑶, 王东. 干旱监测预报研究综述[J]. 南方农业, 2019, 13(20):151-152. [8] 张俊, 陈桂亚, 杨文发. 国内外干旱研究进展综述[J]. 人民长江, 2011, 42(10):65-69. [9] Chen C M. CiteSpace II:Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the American Society for Information Science and Technology, 2006, 57(3):359-377. [10] Chen C M. Searching for intellectual turning points:Progressive knowledge domain visualization[C]//The National Academy of Sciences of the United States of America, Scientific Research Publisher, 2004:5303-5310. [11] McKee T B, Doesken N J, Kleist J. The relationship of drought frequency and duration to time scales[C]//The 8th Conference on Applied Climatology. Anaheim, California:American Meteor Society, 1993:179-183. [12] VicenteSerrano S M, Beguería S, LópezMoreno J I, et al. A new global 0. 5° gridded dataset (19012006) of a multiscalar drought index:comparison with current drought index datasets based on the Palmer drought severity index[J]. Journal of Hydrometeorology, 2010, 11(4):1033-1043. [13] McCabe G J, Palecki M A, Julio L, et al. Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States[C]//The National Academy of Sciences of the United States of America, 2004, 101(12):4136-4141. [14] Ricardo García-Herrera, aniel Paredes, Ricardo M Trigo. The outstanding 2004/05 drought in the iberian peninsula:associated atmospheric circulation[J]. Journal of Hydrometeorology, 2007(8):483-498. [15] 谢清霞, 谷晓平, 万雪丽, 等. 西南地区干旱的变化特征及其与大气环流的关系[J]. 干旱区地理, 2020, 43(1):79-86. [16] 王春林, 郭晶, 薛丽芳, 等. 改进的综合气象干旱指数CInew及其适用性分析[J]. 中国农业气象, 2011, 32(4):621-626. [17] 赵海燕, 高歌, 张培群, 等. 综合气象干旱指数修正及在西南地区的适用性[J]. 应用气象学报, 2011, 22(6):698-704. [18] 于忱, 陈隽, 王红瑞, 等. 多变量Copula函数在干旱风险分析中的应用进展[J]. 南水北调与水利科技, 2018, 16(1):14-21. [19] Bachmair S, Svensson C, Hannaford J. A quantitative analysis to objectively appraise drought indicators and model drought impacts[J]. Hydrology And Earth System Sciences, 2016, 20(7):2589-2609. [20] Bonaccorso B, Cancelliere A, Rossi G. An analytical formulation of return period of drought severity[J]. Stochastic Environmental Research And Risk Assessment, 2003, 17(3):157-174.