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作 者:舒旸 郭建明 SHU Yang;GUO Jian-ming(Key Laboratory of Oil and Gas Resources Research of Gansu Province,Northwest Institute of Eco-Environmental Resources,Chinese Academy of Sciences,Lanzhou 730000,China;College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院西北生态环境资源研究院,甘肃省油气资源研究重点实验室,甘肃兰州730000 [2]中国科学院大学地球与行星科学学院,北京100049
出 处:《泥沙研究》2023年第3期52-57,共6页Journal of Sediment Research
基 金:刘家峡水库泥沙淤积(Y728JJ1GJM);三维构造建模与恢复(Y624YL1GJM)。
摘 要:针对刘家峡水库因黄河上游水土流失导致的泥沙淤积问题,采用单波束测深和浅层剖面法调查水库泥沙淤积状况。使用单波束测深仪测得水库水深数据,与刘家峡水库建库前遥感资料相对比,确定刘家峡水库淤泥分布范围。利用浅层剖面法探测水库淤泥厚度分布,分析浅层剖面原始资料,提高其信噪比,去除多次波等因素的干扰,从而从各剖面中得到淤泥厚度。计算得出水库现有泥沙淤积量为12.62亿m^(3),平均淤积厚度为15 m,最大淤积厚度为30.11 m,泥沙主要淤积于水库的黄河入水口和库区原黄河河道。单束波和浅层剖面探测结果可为淤泥治理和后期开发利用提供科学依据。Sediment deposition in the Liujiaxia Reservoir caused by soil and water loss in the upper reach of the Yellow River is investigated by single beam sounding and shallow profile method.The water depth data of the reservoir measured by single beam bathymeter are compared with the remote sensing data before the construction of the Liujiaxia Reservoir to determine the sediment deposition distribution range of the Liujiaxia Reservoir.The shallow profile method is used to detect the distribution of reservoir sediment thickness.This paper introduces how to improve its signal-to-noise ratio and remove the interference of multiple and other factors from the original data of shallow profile,so as to obtain the sediment thickness from each profile.According to the calculation,the existing sediment volume of the reservoir is 1.262 billion cubic meters,with an average thickness of 15 meters and a maximum thickness of 30.11 meters.It is mainly deposited at the Yellow River inlet of the reservoir and downstream of the reservoir along the original Yellow River.The above single beam wave and shallow profile detection results provide a scientific basis for sediment treatment.
分 类 号:TV145.1[水利工程—水力学及河流动力学]
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