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松嫩河流丰水期泥沙粒度研究及干流粒径趋势分析
引用本文:徐淑琴,王凤楠,邢贞相,徐雷,齐竟辰.松嫩河流丰水期泥沙粒度研究及干流粒径趋势分析[J].东北农业大学学报,2019,50(4):71-78.
作者姓名:徐淑琴  王凤楠  邢贞相  徐雷  齐竟辰
作者单位:东北农业大学水利与土木工程学院,哈尔滨,150030;东北农业大学水利与土木工程学院,哈尔滨,150030;东北农业大学水利与土木工程学院,哈尔滨,150030;东北农业大学水利与土木工程学院,哈尔滨,150030;东北农业大学水利与土木工程学院,哈尔滨,150030
摘    要:泥沙粒度是流域水动力重要参数,对流域水力学研究等具有重要意义。文章在丰水期内在古城子、江桥、哈尔滨、晨明、佳木斯5个水文测站采集泥沙颗粒样品,应用矩方法和图解法计算对比粒度参数,通过4种粒度参数及特征粒径D_(10)、D_(50)及D_(90)分析干流部分区段趋势变化。研究发现,两种方法计算得出的平均粒径呈高度相关、分选度为中度相关、偏度值为负相关性、峰态值离散程度较大,呈弱相关性;粒度参数变化趋势为沿水流方向粒径变粗,分选由变差向明显过渡,但变化不显著,偏度和峰态均无较明显变化。

关 键 词:泥沙粒度  矩方法  图解法  相关性  特征粒径

Study on sediment particle size and main stream particle size trend analysis in Songnen watershed during wet season
Institution:,School of Water Conservancy and Civil Engineering, Northeast Agricultural University
Abstract:Sediment grain size is an important parameter of hydrodynamics in river basin, and it is of great significance to the study of river basin hydraulics. The grain size of sediment varies greatly in different watersheds. This paper collected sediment particle samples from five hydrological stations of Guchengzi, Jiangqiao, Harbin, Chenming and Jiamusi during the wet season, calculated and compared particle size parameters by moment method and graphic method, and conducted trend change analysis of four particle size parameters and characteristic particle sizes D_(10), D_(50) and D_(90) in some sections of the main stream, filling in the blank of sediment particle size research in Songnen River. The results showed that the average particle size calculated by the two methods was highly correlated, the sorting degree was moderately correlated, the skewness value was negatively correlated, the peak value was dispersed and weakly correlated. The variation trend of particle size parameters showed that the particle size along the flow direction became coarser and the sorting changed from variation to obvious transition, but the change was not significant, and the skewness and peak state did not change significantly.
Keywords:sediment particle size  moment method  graphic method  relevance  characteristic particle size
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