nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2018, 12, v.49;No.542 43-51
广东省极端降水时空分布特征研究
基金项目(Foundation): 广东省哲学社科“十三五”规划2017年度学科共建项目(GD17XSH07);; 2017年度广东省普通高校特色创新类项目(人文社科)(2017WTSCX040);; 河南省2015博士后科研基金项目(20150229)
邮箱(Email):
DOI: 10.13928/j.cnki.wrahe.2018.12.006
摘要:

广东省是极端降水多发区,为分析广东省极端降水的时空分布的主要特征,选取2013年1月1日至2017年3月16日之间共1 553 d的3 370个站点逐时降水量资料,并运用统计学、热点和泛克里金方法进行分析计算。研究结果显示,极端降水量主要集中在4—10月,约占全年降水的78%,广东省的极端降水量与极端降水场次的空间分布基本一致。从不同区域看,广东省极端降水空间分布不均匀,粤东汕尾—汕头—揭阳、粤西阳江—茂名、粤北韶关南部、珠三角江门—惠州北部等地区发生极端降水的总场次达57 756场,占比达到71%,韶关—清远北部、梅州西部—河源北部、云浮东北部和肇庆西部等地区发生极端降水的总场次达23 590场,占比只达到29%,沿海地区发生极端降水的总场次为55 315场,占比达到68%。极端降水由沿海到内陆呈现递减趋势,沿海发生极端降水远远多于内陆地区。极端降水在空间上大致呈现东、西、北部少,中、南部多的格局,极端降水由南向北呈带状递减。研究成果可为制定适应气候变化的水资源管理及防洪策略提供参考。

Abstract:

It is prone to extreme precipitation in Guangdong Province. In this paper,the hourly precipitation of 1 553 days of3 370 sites from January 1 in 2013 to March 16 in 2017 are selected. Using statistical method,hot spot analysis and pan Kriging method,the main characteristics of temporal and spatial distribution of extreme precipitation are analyzed in Guangdong Province.The results show that the extreme precipitation is mainly concentrated from April to October,accounting for about 78% of the annual precipitation. The spatial distribution of extreme precipitation and extreme precipitation events in Guangdong is basically the same. From different regions,the spatial distribution of extreme precipitation in Guangdong Province is uneven. The total number of extreme precipitation events in Shanwei-Shantou-Jieyang,Yangjiang in westun Guangdong-Maoming,Shaoguan in northern Guangdong and Jiangmen-Huizhou in the pearl river delta reaches 57 756,accounting for 71%. The total number of extreme precipitation events in Shaoguan-Qingyuan north,Meizhou west-Heyuan north,Yunfu northeast and Zhaoqing west reaches 23 590,accounting for only 29%. Meanwhile the total number of extreme precipitation events in coastal areas reaches 55 315,accounting for 68%. Extreme precipitation shows a decreasing trend from coast to interior,and the occurrence of extreme precipitation along the coast is far greater than that in interior regions. The extreme precipitation is less in the east,west and north,but more in the middle and south. The extreme precipitation decreases from south to north in a band shape. The research results can provide new discoveries for the analysis of the characteristics of extreme precipitation changes in Guangdong Province and provide theoretical references for the formulation of water resources management and flood control strategies adapted to climate change.

参考文献

[1] FISCHER T,MENZ C,SU B,Scholten T. Simulated and projected climate extremes in the Zhujiang River Basin,South China,using the regional climate model COSMO-CLM. Int. J. Climatol,2013,33(14):2988-3001.

[2]徐利岗,周宏飞,梁川,等.中国北方荒漠区降水多时间尺度变异性研究[J].水利学报,2009,40(8):1002-1011.

[3]包沐曦,张长宽.降水长期预报物理概念模型[J].水力发电学报,2013,32(4):10-15.

[4]邓汗青,罗勇.近50年珠江流域降水时空特征分析[J].气象科学,2013,33(4):355-361.

[5] PIAO S L,CIAIS P,HUANG Y,et al. The impacts of climate change on water resources and agriculture in China[J]. Nature,2010,467(2):43-51.

[6]王志福,钱永甫.中国极端降水事件的频数和强度特征[J].水科学进展,2009,20(1):1-9.

[7] IPCC SREX. Managing the risks of extreme events and disasters to advance climate change adaptation[M]. London:Cambridge University Press. 2012.

[8] IPCC AR5. Intergovernmental panel on climate change:climate change fifth assessment report(AR5)[M]. Cambridge:London Cambridge University Press,2013.

[9]史培军,孔锋,方佳毅.中国年代际暴雨时空变化格局[J].地理科学,2014,34(11):1281-1290.

[10]史培军,孙劭,汪明,等.中国气候变化区划(1961—2010年)[J].中国科学:地球科学,2014,44(10):2294-2306.

[11] LIU J,ZHAI P. Changes in climate regionalization indices in China during 1961—2010[J]. Advances in atmospheric sciences,2014,31(2):374-384.

[12]方建,杜鹃,徐伟,等.气候变化对洪水灾害影响研究进展[J].地球科学进展,2014,29(9):1085-1093.

[13]史培军,孔锋,叶谦,等.灾害风险科学发展与科技减灾[J].地球科学进展,2014,29(11):1205-1211.

[14]罗梦森,熊世为,梁宇飞.区域极端降水事件阈值计算方法比较分析[J].气象科学,2013,33(5):549-554.

[15] SHAO Z,GAO F,YANG S L,et al. A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China:Hidden characteristic extraction and probability density prediction[J]. Renewable and sustainable energy reviews,2015,52:876-889.

[16]孔锋,王铸,刘凡,等.全球、大洲、区域尺度暴雨时空变化格局(1981—2010)[J].北京师范大学学报(自然科学版),2016,52(2):228-234.

[17] FU G,YU J,YU X,et al. Temporal variation of extreme rainfall events in China,1961—2009[J]. Journal of hydrology,2013,487(3):4-59.

[18] YU R,LI J. Hourly rainfall changes in response to surface air temperature over eastern contiguous China[J]. Journal of climate,2012,25(19):6851-6861.

[19]陈活泼. CMIP5模式对21世纪末中国极端降水事件变化的预估[J].科学通报,2013,58(8):743-752.

[20]孔锋,王一飞,方建,等.中等排放情景下中国未来不同强度降雨变化及其对总降雨贡献的预估(2006—2100年)[J].水利水电技术,2017,48(12):14-21.

[21]王兆礼,陈晓宏,张灵,等.近40年来珠江流域降水量的时空演变特征[J].水文,2006,26(6):71-75.

[22] YANG T,SHAO Q X,HAO Z C,et al. Regional frequency analysis and spatio-temporal pattern characterization of rainfall extremes in the Pearl River Basin,China[J]. Journal of hydrology,2010,380(3-4):386-405.

[23]陆虹,陈思蓉,郭媛,等.近50年华南地区极端强降水频次的时空变化特征[J].热带气象学报,2012,28(2):219-227.

[24]彭丽英,王谦谦,马慧.华南前汛期暴雨气候特征的研究[J].南京气象学院学报,2007,29(2):249-253.

[25]伍红雨,杜尧东,秦鹏.华南暴雨的气候特征及变化[J].气象,2011,37(10):1262-1269.

[26]王坚红,徐碧裕,刘刚,等.华南前汛期广东暴雨分区动力特征及特大暴雨分析[J].气象与环境学报,2014,30(6):43-51.

[27]林凯荣,何艳虎,雷旭.深圳市1960—2009年降水时空变化分析[J].中国农村水利水电,2013,3(3):18-23.

[28]林建,杨贵名.近年中国暴雨时空特征分析[J].气象,2014,40(7):816-826.

[29]郑杰元,黄国如,王质军,等.广州市降水时空变化趋势[J].水电能源科学,2011,29(3):5-9.

[30]银磊,陈晓宏,陈志和等.广州市典型雨量站暴雨雨型研究[J].水资源研究,2013,2(1),409-414.

[31] ZHIHE CHEN,LEI YIN,XIAOHONG CHEN,et al. Research on the characteristics of urban rainstorm pattern in the humid area of Southern China:a case study of Guangzhou City[J]. International journal of climatology,2015,35,4370-4386.

[32]廖义善,李定强,卓慕宁,等.近50年广东省降水时空变化及趋势研究[J].生态环境学报,2014,23(2):223-228.

[33]钱光明.广东省气候业务技术手册[M].北京:气象出版社,2008.

[34]余明,艾廷华.地理信息系统导论[M].北京:清华大学出版社,2009.

[35]吴孝情,陈晓宏,唐亦汉,等.珠江流域非平稳性降水极值时空变化特征及其成因[J].水利学报,2015,46(9):1055-1061.

[36]唐亦汉,陈晓宏.近50年珠江流域降水多尺度时空变化特征及其影响[J].地理科学,2015,35(4):476-482.

[37]彭俊台,张强,陈晓宏,等.珠江流域极端降水时空演变特征分析[J].灾害学,2011,26(4):24-34.

基本信息:

DOI:10.13928/j.cnki.wrahe.2018.12.006

中图分类号:P426.6

引用信息:

[1]贾建辉,龙晓君.广东省极端降水时空分布特征研究[J].水利水电技术,2018,49(12):43-51.DOI:10.13928/j.cnki.wrahe.2018.12.006.

基金信息:

广东省哲学社科“十三五”规划2017年度学科共建项目(GD17XSH07);; 2017年度广东省普通高校特色创新类项目(人文社科)(2017WTSCX040);; 河南省2015博士后科研基金项目(20150229)

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文
检 索 高级检索