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黑龙江流域洪峰水位特征分析
引用本文:董淑华,姜雪,邢贞相,张玉国.黑龙江流域洪峰水位特征分析[J].水文,2015,35(3):74-77.
作者姓名:董淑华  姜雪  邢贞相  张玉国
作者单位:黑龙江省水文局;东北农业大学水利与建筑学院
基金项目:国家自然科学基金项目(51109036,51479032);水利部公益性行业科研专项经费项目(201301096);中国博士后科学基金资助项目(2013M541332);教育部高等学校博士学科点专项科研基金(20112325120009);黑龙江省博士后资助项目(LBH-Z12041);黑龙江省水利厅科研开发项目(201318);黑龙江省级领军人才梯队后备事头人资助项目(500001);黑龙江省博士后启动金(LBH-Q12147);黑龙江省教育厅科学技术研究项目(11541022);黑龙江省自然科学基金(E2015024);
摘    要:黑龙江流域地跨中、俄、蒙三国,沿岸地区洪水灾害频繁,在一定程度上制约了当地国民经济的发展。因此,有必要对流域的洪峰水位变化特征进行分析,为流域水资源管理提供可靠依据。结合SPSS对相邻两站的洪峰水位进行相关分析,相邻两水位站的相关系数均较大,成极显著相关,且有非常显著的统计学意义。经回归分析得出相邻两站间洪峰水位均成线性关系,且不包含常数项。降水量对洪峰水位影响分析表明,最大洪峰雨量的影响最为显著,其次是汛期雨量,相关关系最不显著的是年降水量。

关 键 词:洪峰水位  变化特征  SPSS  相关分析  最大洪峰雨量
收稿时间:2014/12/8 0:00:00

Analysis of Flood Peak Level Characteristics of Heilongjiang River Basin
DONG Shuhu,JIANG Xue,XING Zhenxiang,ZHANG Yuguo.Analysis of Flood Peak Level Characteristics of Heilongjiang River Basin[J].Hydrology,2015,35(3):74-77.
Authors:DONG Shuhu  JIANG Xue  XING Zhenxiang  ZHANG Yuguo
Institution:1. Hydrology Bureau of Heilongjiang Province, Harbin 150001, China; 2. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China
Abstract:The Heilongjiang River Basin is across China, Russia and Mongolia. The flood disasters frequently happen in the coastal area, which has restricted the local economy development to a certain extent. Therefore, it is necessary to analyze the flood crest characteristics, which will provide a reliable basis for water resources management. This paper implemented correlation analysis between the two adjacent water stations with SPSS. The result shows that the correlation coefficients are larger, there are highly significant correlation and a very obvious statistical significance. The regression analysis shows that there is a linear relationship between the two adjacent peak water levels of the stations, and exclude a constant term. The impact of the precipitation on the flood crest was analyzed. The result shows that the effect of maximum peak rainfall is the most significant, followed by the flood season rainfall, without significant correlation for annual precipitation.
Keywords:flood peak level  variation characteristics  SPSS  correlation analysis  rainfall for maximum flood peak
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