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黄河万家寨河段河冰冰厚遥感提取及年内变化特征分析 被引量:4

Remote Sensing Extraction and Variation Characteristics of River Ice Thickness in Wanjiazhai Section of the Yellow River
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摘要 冰凌观测是防凌的前提,是冰凌研究的基础,因此全面准确的冰凌观测可为科学防凌提供可靠的依据。为此,以黄河万家寨库区河段为例,通过冰厚反演算法对其冰厚数据进行遥感反演,利用Lebedev模型对反演结果进行验证,并对结果进行年内变化特征分析。结果表明,卫星遥感反演结果与实测及模型验证结果接近,相关系数为0.8;冰厚演变总体呈成冰、流凌、初封、稳封、融冰、开河的生消演变过程。反演冰厚结果可为黄河内蒙段防凌减灾等实际工作提供参考依据。 Ice observation is the premise of ice prevention and the basis of ice research.Therefore,comprehensive and accurate ice observation can be a reliable basis of scientific ice prevention.Taking Wanjiazhai reservoir area of the Yellow River as an example,the ice thickness data was inverted by the ice-thickness inversion algorithm,and the inversion results were verified by Lebedev model.The annual variation characteristics of the results were analyzed.The results show that the satellite remote sensing inversion results are close to the measured values and model verification results,and the correlation coefficient is 0.8.The evolution of ice thickness generally shows the evolution process of ice formation,flowing ice,initial freeze,stable freeze,ice melting and thaw thoroughly.The results of ice thickness inversion can provide a reference for the actual work for ice prevention and reducing disaster in Mongolia reach of the Yellow River.
作者 冀鸿兰 杨光 翟涌光 牟献友 JI Hong-lan;YANG Guang;ZHAI Yong-guang;MOU Xian-you(College of Water Conservancy and Civil Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China)
出处 《水电能源科学》 北大核心 2020年第1期24-27,共4页 Water Resources and Power
基金 国家重点研发计划(2018YFC1508401) 2018年内蒙古自治区科技厅重大专项 国家自然科学基金(51369017)
关键词 冰凌观测 冰厚 变化特征 遥感反演算法 ice observation ice thickness variation characteristics remote sensing inversion algorithm
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