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Application of new parameterizations of gas transfer velocity and their impact on regional and global marine CO2 budgets 总被引:1,自引:0,他引:1
One of the dominant sources of uncertainty in the calculation of air–sea flux of carbon dioxide on a global scale originates from the various parameterizations of the gas transfer velocity, k, that are in use. Whilst it is undisputed that most of these parameterizations have shortcomings and neglect processes which influence air–sea gas exchange and do not scale with wind speed alone, there is no general agreement about their relative accuracy.The most widely used parameterizations are based on non-linear functions of wind speed and, to a lesser extent, on sea surface temperature and salinity. Processes such as surface film damping and whitecapping are known to have an effect on air–sea exchange. More recently published parameterizations use friction velocity, sea surface roughness, and significant wave height. These new parameters can account to some extent for processes such as film damping and whitecapping and could potentially explain the spread of wind-speed based transfer velocities published in the literature.We combine some of the principles of two recently published k parameterizations [Glover, D.M., Frew, N.M., McCue, S.J. and Bock, E.J., 2002. A multiyear time series of global gas transfer velocity from the TOPEX dual frequency, normalized radar backscatter algorithm. In: Donelan, M.A., Drennan, W.M., Saltzman, E.S., and Wanninkhof, R. (Eds.), Gas Transfer at Water Surfaces, Geophys. Monograph 127. AGU,Washington, DC, 325–331; Woolf, D.K., 2005. Parameterization of gas transfer velocities and sea-state dependent wave breaking. Tellus, 57B: 87–94] to calculate k as the sum of a linear function of total mean square slope of the sea surface and a wave breaking parameter. This separates contributions from direct and bubble-mediated gas transfer as suggested by Woolf [Woolf, D.K., 2005. Parameterization of gas transfer velocities and sea-state dependent wave breaking. Tellus, 57B: 87–94] and allows us to quantify contributions from these two processes independently.We then apply our parameterization to a monthly TOPEX altimeter gridded 1.5° × 1.5° data set and compare our results to transfer velocities calculated using the popular wind-based k parameterizations by Wanninkhof [Wanninkhof, R., 1992. Relationship between wind speed and gas exchange over the ocean. J. Geophys. Res., 97: 7373–7382.] and Wanninkhof and McGillis [Wanninkhof, R. and McGillis, W., 1999. A cubic relationship between air−sea CO2 exchange and wind speed. Geophys. Res. Lett., 26(13): 1889–1892]. We show that despite good agreement of the globally averaged transfer velocities, global and regional fluxes differ by up to 100%. These discrepancies are a result of different spatio-temporal distributions of the processes involved in the parameterizations of k, indicating the importance of wave field parameters and a need for further validation. 相似文献
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基于土压力减载机理,推导高填方黄土明洞顶铺设EPS板和土工格栅共同减载的明洞顶土压力计算公式。利用ANSYS软件模拟不同弹性模量EPS板和土工格栅共同减载时高填方黄土明洞顶的土压力,采用荷载等效方法将数值模拟的"波浪形"分布的土压力转化为均布荷载,将其与公式计算结果进行对比。结果表明:明洞顶土压力均随内外土柱沉降差的增大而减小,公式计算结果与数值模拟结果最大相对误差为3.59%,验证了计算公式的正确性。取EPS板的弹性模量为0.5 MPa,数值模拟明洞顶土体的竖向位移、最小主应力和竖向应力。结果表明:EPS板变形导致明洞顶最小主应力方向发生旋转,指向外土柱,在0.83倍洞高处出现明显的"应力拱";"应力拱"下部竖向、横向土压力均减小;内外土柱沉降差越大,"应力拱"横向应力越大,承担上部荷载越大,土拱效应越明显。 相似文献
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基于火灾高温后混凝土强度的评定是判断火灾后建筑结构损伤程度、剩余承载力的重要依据,设计了一个进化神经网络模型,用遗传进化算法优化RBF网络的连接权和网络结构,并将其应用于火灾后混凝土抗压强度的评定,给出了混凝土强度测试的实验方法。研究结果表明,所提出的进化神经网络比回归计算方法具有更高的识别精度和较强的实用性。 相似文献