Air-Sea Gas Transfer Velocity in Stormy Winter Estimated from Radon Deficiency

Thirteen vertical profiles of ²²⁶Ra and ²²²Rn in the near-surface water were obtained in the western North Pacific in winter, and the gas transfer velocities across the air-sea interface were estimated. The transfer velocities found by applying a steady state model varied widely from 2.1 to 30.2 m day⁻¹ with a mean of 9.4 m day⁻¹. The mean value is almost 5 times higher than that in summer in other oceans, and the maximum value is a record high for world oceans. This is partly due to the inadequacy of the steady state model, which overestimates when stronger winds blow in more recent days than the ²²²Rn half-life of about 4 days. In fact, a strong low pressure zone passed through the station about 2 days earlier, which was one of the low pressure zones that with a period of develop once a week or so in the northwestern North Pacific in winter. Instead of steady-state removal, if half of the radon removal occurred sporadically every 7 days, and the last removal took place two days before the observation, the transfer velocity would be 26 m day⁻¹. Our mean transfer velocity, which is less than 20% different from the steady state value including both overestimated and underestimated values, 9.4 ± 4.8 m day⁻¹, seems to represent the mean state of this region in winter. This suggests that the gas exchange fluxes under extremely rough conditions in the open ocean are larger than those estimated by using a transfer velocity equation with a linear or quadratic relationship with wind speed. This revised version was published online in July 2006 with corrections to the Cover Date.     

糯扎渡电站溢洪道边坡稳定分析及系统锚固方法

糯扎渡水电站位于云南省思茅市境内,是澜沧江流域开发中具有十分重要意义的工程。设计土石坝方案的溢洪道开挖边坡的稳定性关系到该方案的合理选择。通过对溢洪道附近的平硐与露头的野外调查,获得了1 400余条结构面的详细信息,在岩体结构面统计基础上,运用随机网络模拟的方法得到了溢洪道开挖边坡的裂隙网络图像,分析了岩体结构面的连通率,采用Hoek和Brown提出的GSI体系,对岩体质量进行综合定量评价,在此基础上,提出各高边坡岩体力学参数的综合指标。应用模拟退火算法,搜索出边坡潜在的最危险滑裂面的位置,并运用Sarma法分析了开挖边坡的稳定性,提出各个边坡稳定性的分析评价成果以及建议的边坡系统锚固措施。     

用激电时间谱视参数评价激电异常的应用效果

在四个已知区利用时谱激电法,反演求取Cole-Cole模型视参数,综合考虑η_s、τ_ss     

Numerical analysis for random temperature fields of embankment in cold regions

The stochastic finite element equations for random temperature are obtained using the first-order per-turbation technique taking into account the random thermal properties and boundary condition, based on heat transfer variational principle. The local average method for 2-D is used to discretize random fields. Then, the random temperature fields of embankment in cold regions are investigated on condi-tion that the thermal properties and boundary condition are taken as random fields, respectively, by using the program, which is written by the methods. The expected value of temperature field and the standard deviation of the temperature field of embankment in cold regions are obtained and analyzed.     

上海地下水环境容量评价及在地面沉降控制中的应用

在分析地下水水环境容量内涵及地下水资源开发利用产生的环境效应基础上,探讨了地下水环境容量的概念,认为地下水环境容量是用来表征一定目标约束下,地下水系统对自然或人类活动影响所能承受能力的最大阙值,并以上海市为例,采用地下水临界水位、地面沉降量、地下水质作为评价指标对地下水环境容量进行了评价,并将其应用于上海市地面沉降防治工作中,剖析了地下水资源管理和地面沉降控制的工作机制。升,第四承压含水层向弹性变形态势转变,土体表现为微量回弹。     

积分方程法三维模拟井地电法并行算法研究

在积分方程法模拟三维电磁响应原理的基础上,对井地电法三维正演模拟并行算法做了研究。同时,还利用Fortran 6.5和消息传递接口(MPI)开发了井地电法三维正演模拟并行计算程序。在求解大型线性方程组时,采用的是稳定的双共轭梯度(BICGSTAB)算法,单机正演程序与并行正演程序的计算结果有着很好的一致性,这说明了并行算法的正确性,为进一步开发井地电法三维反演并行程序奠定了基础,也为井地电法三维正、反演程序实用化提供了技术支持。     

液化场地地震反应的离散元数值模拟

采用一个描述饱和砂土中固相颗粒和液相流体耦合的离散元数值模型,固相颗粒采用离散元的颗粒流理论(PFC)模拟,液相流体通过求解平均Navier-Stokes方程的计算流体动力学(CFD)技术计算.采用上述模犁数值模拟了在地震荷载作用液化场地的加速度、剪应力、剪应变时程以及超孔隙水压力和土层表面位移的发展过程.数值模拟结果...     

Model tree approach for prediction of pile groups scour due to waves

Scour around piles could endanger the stability of the structures placed on them. Hence, an accurate estimation of the scour depth around piles is very important in coastal and marine engineering. Due to the complex interaction between the wave, seabed and pile group; prediction of the scour depth is not an easy task and the available empirical formulas have limited accuracy. Recently, soft computing methods such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have been used for the prediction of the scour depth. However, these methods do not give enough insight about the process and are not as easy to use as the empirical equations. In this study, new formulas are given that are easy to use, accurate and physically sound. Available empirical equations for estimating the pile group scour depth such as those of Sumer et al. (1992) and Bayram and Larson (2000), are less accurate compared to the given equations. These equations are as accurate as other soft computing methods such as ANN and SVM. Moreover, in this study, safety factors are given for different levels of acceptable risks, which can be so useful for engineers.