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基于2006年南极威德尔海冬季科学考察期间由机载激光测高仪测得的海冰上表面高度数据,以脊高和脊距的理论与实测概率密度的相对误差之和为性能指标,以切断高度为控制变量建立优化模型。结果表明,W’80型分布和对数正态分布分别与实测脊高和脊距分布吻合较好;最优切断高度为0.62 m。进而从海冰表面起伏中确定出冰脊。利用k均值聚类算法以冰脊强度(Ri)为标准将剖面分为3类(Ri≤0.01,0.010.026)。对应各类剖面分别有:平均脊高为0.99 m,1.12 m和1.17 m;平均脊距为232 m,54 m和31 m。利用数学模型估算并分析了多脊冰平均厚度、有效厚度,帆横截面积及冰脊所占面积,这些参数值均随冰脊强度增大而增大。
Based on the data of sea surface ice height measured by airborne laser altimeters during the winter scientific investigation of Weddell Sea, Antarctica in 2006, the sum of the relative errors between the theoretical and measured probability density of ridge height and ridge pitch is taken as the performance index Cut off height to create optimized model for control variables. The results show that the distribution of W’80 type and the logarithm normal distribution agree well with the measured ridge height and ridge pitch distribution respectively. The optimal cutting height is 0.62 m. Then ice ridges are determined from the sea surface undulation. The k-means clustering algorithm was used to classify the sections into three categories (Ri≤0.01, 0.01 0.026) based on the ice ridge strength (Ri). Corresponding to all kinds of profiles are: average ridge height of 0.99 m, 1.12 m and 1.17 m; average ridge distance of 232 m, 54 m and 31 m. Mathematical model was used to estimate and analyze the average iced ice thickness, effective thickness, sail cross-sectional area and ice ridge area, and the values of these parameters increased with the ice ridge strength increasing.