Salinity Distribution at Canal Istanbul and Its Possible Impacts on the Northern Marmara Sea

China Ocean Engineering - Turkey has announced its plan to construct a new waterway, Canal Istanbul, parallel to the Bosphorus. In this study, the influence of Canal Istanbul on salinity...     

Eddy energy dissipation rate and puff diffusion during calms

The paper considers a puff diffusion in its inertial stage when particle separation obeys the laws of the inertial subrange and depends only on eddy energy dissipation rate . The can be determined in the surface layer by the turbulent kinetic energy equation. Similarity equations connect with diffusion measure .A simple analytical model has been deduced to estimate pollutants diffusion during calms.     

β-环糊精包合态三氟氯氰杀虫剂的制备

为了进一步提高三氟氯氰菊酯农药的防治效果。寻找适宜的农药新剂型，我们用液相法制备了三氟氯氰菊酯－β－环糊精包合物，并以水为基质进行了稳定性观察，同时又以差热分析法和气相色谱法确认了包合物的形成，以旋光度法证明两者间的包合比。结果表明，三氟氯氰菊酯与β-环糊精可形成1：1型包合物，该包合物稳定性高，具有一定的水溶性，而且在水中稳定，所以有望通过环糊 包合作用将三氟氯氰菊酯帛成水剂；当以气相法测试包合态三氟氯氰菊酯含量时，必须将其解络，使之成为游离状态，然后按常规方法进行含量测定。     

汛期强降水过程与月内低频降水的联系及其可能机制

利用1981 2010年中国753站逐日降水观测资料、NCEP/NCAR第二套逐日再分析资料及实况天气图等,选取长江中下游32次大范围持续性强降水过程,分析了该类强降水过程与月内(10~30天)低频降水的联系,并重点讨论了形成该类强降水过程的可能机制。结果表明:(1)长江中下游夏季降水具有显著的月内低频振荡周期。大范围持续性强降水过程基本位于降水低频振荡的峰值阶段。(2)梅汛期(6 7月)月内低频降水峰值位相前期,西太平洋副热带高压(下称西太副高)西伸北进,高低空急流发展加强。在强降水过程发生期,高中低层配置出现垂直方向上的最佳耦合;而台汛期(89月)低频降水峰值位相前期,西太副高东退南撤,低空急流逐渐南落至长江中下游东南部,与高空急流相配合,为强降水过程的发生提供了有利条件。(3)梅汛期东北亚低频位势高度低值区南下,与中纬太平洋西传的低频波列在长江中下游汇合。同时西太副高发展加强,造成了长江中下游降水峰值位相南高北低的低频位势高度分布,有利于强降水过程的发生;台汛期伴随从热带西太平洋到日本海低频波列的西北向移动,菲律宾东北部的低频气旋及其北侧低频反气旋的降水峰值位相分别移至长江中下游和东北亚地区,导致暖湿、干冷气流在长江流域交汇,进而造成强降水过程。(4)菲律宾以东洋面低频强对流可作为梅汛期和台汛期强降水过程发生的前期热带信号,提前低频降水峰值位相10天左右。     

N–PLS regression as empirical downscaling tool in climate change studies

Summary An N–PLS regression technique was tested as an empirical downscaling method. Average monthly near-ground air temperature (t), specific humidity (q), and sea-level pressure (p) fields across Central and Western Europe were used as predictors for average monthly air temperature (T), dew temperature (D), and precipitation amount (P) at 4 locations in Slovenia. The empirical downscaling models (EM) were developed by means of available predictand data from the ARSO archive and predictor data from the NCEP/NCAR reanalysis project, for the period 1951–2002, separately for single months. Using the combination of t and p as predictors, the EM for T explained from 73% to 95% of predictand variability, for D from 74% to 97% of predictand variability, and for P from 31% to 76% of predictand variability. The use of q as an additional predictor did not improve the quality of the EM considerably. Developed EM using p and t as predictors were applied to the results of 5 general circulation models (GCM): CSIRO/Mk2, CCC/CGCM2, UKMO/HadCM3, DOE-NCAR/PCM, and MPI-DMI/ECHAM4-OPYC3. Only the simulations based on SRES A2 and B2 emission scenarios were considered in our calculations. Available mean monthly values of predictors for the period 1951–2100 were used. All the projections of GCM results indicate an increase in T and D and decrease in P in the 21^st century at all 4 locations. The expected range of changes in T, D, and P is wide due to the different response of GCM to identical changes in the atmospheric composition, and represents a source of uncertainty in empirical downscaling results. Another important source of uncertainty in empirical downscaling studies, especially when temperature dependent predictors are used, is the problem of extrapolation. By using the proper mathematical approach for EM development we only reduce a part of the uncertainty related to the quality of empirical models that also strongly depend on the quality of input data and predictor selection. The N–PLS regression seems to be a suitable choice of mathematical method, as the feature selection from a large number of predictor time series is not predictand independent. Finally, any climate change and impact studies for the future are affected by many other uncertainties that we have to be fully aware of, while interpreting their results.     

Prediction of the median IDA curve by employing a limited number of ground motion records

A methodology has been proposed which can be used to reduce the number of ground motion records needed for the reliable prediction of the median seismic response of structures by means of incremental dynamic analysis (IDA). This methodology is presently limited to predictions of the median IDA curve only. The reduction in the number of ground motion records needed to predict the median IDA curve is achieved by introducing a precedence list of ground motion records. The determination of such a list is an optimization problem, which is solved in the paper by means of (1) a genetic algorithm and (2) a proposed simple procedure. The seismic response of a simple, computationally non‐demanding structural model has been used as input data for the optimization problem. The presented example is a three‐storey‐reinforced concrete building, subjected to two sets of ground motion records, one a free‐field set and the other a near‐field set. It is shown that the median IDA curves can be predicted with acceptable accuracy by employing only four ground motion records instead of the 24 or 30 records, which are the total number of ground motion records for the free‐field and near‐field sets, respectively. Copyright © 2007 John Wiley & Sons, Ltd.     

非饱和土的有效应力与抗剪强度

从孔隙土的存在状态出发，探讨了吸力的两种不同作用效果与非饱和形态的关系，从理论上论证了Bishop公式的正确性澄清了多年来一个基本概念上的误解。用新的观点阐述了非饱和土中抗剪强度分布不均匀及浸水湿陷的原因；同时还对Fredlund和卢肇钧提出的抗剪强度理论及参数的测试方法进行了分析，提出了各种抗剪强度理论在理论上都是相同的，其区别仅在于确定由吸力产生的那部分有效应力时采用的参数和测试 方法不同。为今后非饱和土的抗剪强度研究从理论转向实用提供了理论基础。