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松花江流域极端气象水文要素分析
引用本文:章晓梦,郝洁,鞠琴,萧峻琼,次旦多杰,陈玺.松花江流域极端气象水文要素分析[J].河北工程大学学报,2021,38(1):78-84.
作者姓名:章晓梦  郝洁  鞠琴  萧峻琼  次旦多杰  陈玺
作者单位:河海大学水文水资源学院,江苏 南京210098;水利部交通运输部国家能源局南京水利科学研究院,江苏 南京210000;西藏水文水资源勘测局林芝水文水资源分局,西藏 林芝860000;长江水利委员会水文局,湖北 武汉430010
基金项目:国家重点研发计划项目(2018YFC1508001)
摘    要:利用松花江流域1961—2018年逐日降水及逐日径流数据资料,基于11个极端降水指标和5个极端径流指标,采用趋势分析法、Mann-kendall非参数检验方法、Mann-kendall突变检验法、克里金插值法、皮尔逊相关系数等方法分析了松花江流域极端降水及极端径流事件的变化特征、地区性差异和规律,同时分析了极端降水和极...

关 键 词:极端气象水文事件  时空变化特征  皮尔逊相关分析  极端降水指数  松花江流域
收稿时间:2020/11/26 0:00:00

Analysis of Extreme Meteorological and Hydrological Elements in Songhua River Basin
Authors:ZHANG Xiaomeng  HAO Jie  JU Qin  XIAO Junqiong  CIDAN Duojie and CHEN Xi
Affiliation:School of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210098, China,Nanjing Hydraulic Research Institute, Nanjing, Jiangsu 210029, China,School of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210098, China,School of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210098, China,Linzhi Branch of the Tibet Autonomous Region Hydrology Bureau, Linzhi, Tibet 860000, China and Hydrology Bureau of Yangtze River Water Resources Commission, Wuhan, Hubei 430010, China
Abstract:Using the daily precipitation and daily runoff data in the songhua river basin during 1961~2018, based on the 11 extreme precipitation index and five extreme runoff indicators, taking the trend analysis method, Mann-Kendall nonparametric test methods, Mann-Kendall mutation test, kriging interpolation method, Pearson correlation coefficient and other methods, this paper analyzed the change characteristics and regional differences of extreme precipitation and extreme runoff events in songhua river basin and, at the same time, analyzed the correlation between the extreme precipitation and extreme runoff events. The results show that, except the CDD and SDII indexes in the continuous dry period, the perennial average values of the other indexes all show that the songhua River basin is the high-value region, the songhua River main stream basin is the second-highest value region, and the Nenjiang River basin is the low-value region. The spatial trend distribution and abrupt transition years of each extreme precipitation index also reflect regional differences. The variation trend of each extreme runoff index was similar to that of the abrupt change year, and all showed a slight variation trend. Under different time scales, the correlation coefficients of extreme precipitation and extreme runoff events all passed the 99% significance test. Due to the slow confluence of the Songhua River Basin, extreme precipitation and extreme runoff events show the most significant correlation when the time scale is 30 days.
Keywords:extreme meteorological hydrological events  Spatio-temporal variation characteristics  Pearson correlation analysis  extreme precipitation index  Songhua River basin
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