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Quantifying iceberg calving fluxes with underwater noise

机译:用水下噪声量化冰山的碳钙管

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Accurate estimates of calving fluxes are essential in understanding small-scale glacier dynamics and quantifying the contribution of marine-terminating glaciers to both eustatic sea-level rise (SLR) and the freshwater budget of polar regions. Here we investigate the application of acoustical oceanography to measure calving flux using the underwater sounds of iceberg–water impact. A combination of time-lapse photography and passive acoustics is used to determine the relationship between the mass and impact noise of 169 icebergs generated by subaerial calving events from Hansbreen, Svalbard. The analysis includes three major factors affecting the observed noise: (1)?time dependency of the thermohaline structure, (2)?variability in the ocean depth along the waveguide and (3)?reflection of impact noise from the glacier terminus. A correlation of 0.76 is found between the (log-transformed) kinetic energy of the falling iceberg and the corresponding measured acoustic energy corrected for these three factors. An error-in-variables linear regression is applied to estimate the coefficients of this relationship. Energy conversion coefficients for non-transformed variables are 8×10-7 and 0.92, respectively, for the multiplication factor and exponent of the power law. This simple model can be used to measure solid ice discharge from Hansbreen. Uncertainty in the estimate is a function of the number of calving events observed; 50% uncertainty is expected for eight blocks dropping to 20% and 10%, respectively, for 40 and 135 calving events. It may be possible to lower these errors if the influence of different calving styles on the received noise spectra can be determined.
机译:大规模疾病的准确估计对于了解小规模冰川动态并量化海洋终端冰川对突氏海平面上升(SLR)和极地地区的淡水预算的贡献。在这里,我们调查声学海洋学的应用,使用冰山水冲击的水下声音来测量产犊助焊剂。时间流逝摄影和被动声学的组合用于确定来自斯瓦尔巴德汉斯布勒河畔汉语产犊事件生成的169冰山的质量和冲击噪声之间的关系。分析包括影响观察到的噪声的三个主要因素:(1)?热卤素结构的时间依赖性,(2)?沿着波导的海洋深度的可变性和(3)?从冰川末端的冲击噪声反射。在下降冰山的(对数转换的)动能之间发现0.76的相关性,并且对这三种因素校正了相应的测量声能。应用错误变量线性回归来估计这种关系的系数。用于非变形变量的能量转换系数分别为8×10-7和0.92,用于乘法量和权力法的指数。这种简单的模型可用于测量汉斯布林的实心冰块。估计中的不确定性是所观察到的产犊事件数量的函数;预计50%的不确定性将分别为40%和135次加入40%和10%的八个块。如果可以确定不同点对噪声光谱对所接收的噪声光谱的影响,则可以降低这些误差。

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