Analysis and modeling of the seasonal South China Sea temperature cycle using remote sensing

The present paper describes the analysis and modeling of the South China Sea (SCS) temperature cycle on a seasonal scale. It investigates the possibility to model this cycle in a consistent way while not taking into account tidal forcing and associated tidal mixing and exchange. This is motivated by the possibility to significantly increase the model’s computational efficiency when neglecting tides. The goal is to develop a flexible and efficient tool for seasonal scenario analysis and to generate transport boundary forcing for local models. Given the significant spatial extent of the SCS basin and the focus on seasonal time scales, synoptic remote sensing is an ideal tool in this analysis. Remote sensing is used to assess the seasonal temperature cycle to identify the relevant driving forces and is a valuable source of input data for modeling. Model simulations are performed using a three-dimensional baroclinic-reduced depth model, driven by monthly mean sea surface anomaly boundary forcing, monthly mean lateral temperature, and salinity forcing obtained from the World Ocean Atlas 2001 climatology, six hourly meteorological forcing from the European Center for Medium range Weather Forecasting ERA-40 dataset, and remotely sensed sea surface temperature (SST) data. A sensitivity analysis of model forcing and coefficients is performed. The model results are quantitatively assessed against climatological temperature profiles using a goodness-of-fit norm. In the deep regions, the model results are in good agreement with this validation data. In the shallow regions, discrepancies are found. To improve the agreement there, we apply a SST nudging method at the free water surface. This considerably improves the model’s vertical temperature representation in the shallow regions. Based on the model validation against climatological in situ and SST data, we conclude that the seasonal temperature cycle for the deep SCS basin can be represented to a good degree. For shallow regions, the absence of tidal mixing and exchange has a clear impact on the model’s temperature representation. This effect on the large-scale temperature cycle can be compensated to a good degree by SST nudging for diagnostic applications.     

水库渗流影响文物遗址安全发掘研究——以湖南里耶秦代古城遗址为例

与古遗址相邻的江、河由于后期的工程活动,如水库、大坝的修建和蓄水,水位上升,将对遗址区地下水的运动规律及渗流场产生较大影响。在其影响下,古遗址可能产生各种环境地质灾害并对其发掘安全产生不利影响。论文以国家重点文物——湖南里耶秦代古城遗址安全发掘深度研究为例,在分析水库蓄水诱发的环境地质灾害的基础上,对遗址在不同库水位下的安全发掘深度及发掘方案进行了研究,提出了保障发掘安全的工程措施。研究成果为国家重点文物的保护和进一步发掘提供了科学依据。对类似文物工程的保护和发掘具有借鉴意义。     

石油测井光电编码器深度测量系统

介绍了石油测井深度光电编码器测量系统的测量原理、系统组成以及电路分析,同时在对系统误差分析的基础上给出了具体校正方法。     

探地雷达应用中的几个基本问题

本文讨论了探地雷达(GPR)应用中的四个基本问题:(1)电磁波在地层中传播的波阻抗;(2)电磁波在地层分界面上场强的反射系数与透射系数;(3)电磁波在地层中的传播速度和反射波相位;(4)GPR的探测深度。为GPR的资料解释工作提供一定的理论依据和方法,也会促进资料解释的研究和发展。     

Depth Distribution of Moho Discontinuity Beneath Beijing and Its Adjacent Area

Based on the method of "two-dimensional depth structure of the crust" proposed by Horiuchi et al., about 5000 arrival times of 303 local shallow earthquakes recorded by the Beijing Seismographic Network from 1990 ~ 1993 are used to investigate the depth distribution of Moho discontinuity beneath Beijing and its adjacent area. We simultaneously determined the hypocenter parameters and P- and S-wave station corrections. The data of the North China Network were also investigated. The results are as follows: (1) The depth distribution of Moho discontinuity becomes shallower from the northwest to the southeast, i.e., in Zhangjiakou area, the Moho discontinuity is located at a depth range from 40~42 km. In the Beijing area, it is 36~39 km. However, at the eastern and southeastern part of this area, it is only 28-30 km and 30~32 km, respectively. (2) Beneath the Tangshan area, there is another elliptic interface shallower than the Moho discontinuity. Separately, its major and minor axis is approximately along     

用欧拉方程估算埋深和形状因数

本文论述了用欧拉方程估算埋深和形状因数的方法原理,并用模型计算加以验证,最后用湖南某地含原生金刚石的钾镁煌斑岩筒上的ΔＴ异常证实这种估算方法是值得推广的。     

Incursion of the Pacific Ocean Water into the Indian Ocean

Using the data collected during the International Indian Ocean Expedition, maps showing the distribution of depth, acceleration potential, salinity and oxyty were prepared for the northeast monsoon for the four potential thermosteric anomaly surfaces: 160, 120, 80 and 60 cl/t. Zonal components of current along 84°E were computed from the geopotential dynamic heights. From such an analysis, it became clear that low-salinity water from the Pacific intrudes into the western Indian Ocean through the Banda and Timor seas in the upper layers above 100 cl/t surface, while the North Indian Ocean Water penetrates towards the Eastern Archipelago below 100 cl/t surface. The South Equatorial Countercurrent and the Tropical Countercurrent are well depicted on the vertical section of zonal components as well as on the distribution of acceleration potential.     

P-P波及P-SV波叠前深度偏移速度模型建立方法

针对多波叠前深度偏移速度模型的建立问题,提出在CDP道集上利用互换原理组成伪地集作为叠前偏移速度分析的数据道集,先用叠前时间偏移方法求取层间互不影响的等效偏移速度模型,再用餐前深度偏移方法逐层求取层速度模型．对各层的速度质量、整个速度模型层位结构及速度横向变化,采用人机交互方式进行监控,并在速度叠代中引入全局寻优的遗传算法,使整个速度模型建立过程具有稳定、可靠和可视化的优点．经理论和实际资料处理结果证明,本方法是行之有效的．     

Impact of climate change on 24‐h design rainfall depth estimation in Qiantang River Basin,East China

The frequency and magnitude of extreme meteorological or hydrological events such as floods and droughts in China have been influenced by global climate change. The water problem due to increasing frequency and magnitude of extreme events in the humid areas has gained great attention in recent years. However, the main challenge in the evaluation of climate change impact on extreme events is that large uncertainty could exist. Therefore, this paper first aims to model possible impacts of climate change on regional extreme precipitation (indicated by 24‐h design rainfall depth) at seven rainfall gauge stations in the Qiantang River Basin, East China. The Long Ashton Research Station‐Weather Generator is adopted to downscale the global projections obtained from general circulation models (GCMs) to regional climate data at site scale. The weather generator is also checked for its performance through three approaches, namely Kolmogorov–Smirnov test, comparison of L‐moment statistics and 24‐h design rainfall depths. Future 24‐h design rainfall depths at seven stations are estimated using Pearson Type III distribution and L‐moment approach. Second, uncertainty caused by three GCMs under various greenhouse gas emission scenarios for the future periods 2020s (2011–2030), 2055s (2046–2065) and 2090s (2080–2099) is investigated. The final results show that 24‐h design rainfall depth increases in most stations under the three GCMs and emission scenarios. However, there are large uncertainties involved in the estimations of 24‐h design rainfall depths at seven stations because of GCM, emission scenario and other uncertainty sources. At Hangzhou Station, a relative change of ?16% to 113% can be observed in 100y design rainfall depths. Copyright © 2012 John Wiley & Sons, Ltd.     

砂粒粒径与砂层厚度对单体筐养养殖系统中三疣梭子蟹幼蟹摄食行为与生长特性的影响研究*

提要 在梭子蟹的单体筐养养殖系统中,试验了生态掩体(砂盒)中不同的砂粒粒径大小以及砂层厚度对梭子蟹幼蟹摄食行为与生长特性的影响。砂粒粒径设三个水平,分别为：>2 mm、<0.2 mm以及混合砂;砂层厚度有0cm、2cm、5cm、8cm四个水平。试验共进行6天,结果表明：砂粒粒径及砂层厚度对梭子蟹幼蟹的摄食与生长都有明显的影响。从砂粒粒径看,幼蟹在细砂(SPS)中挖洞休息,蟹体与砂面呈30-45°角,仅露眼睛及触角在外。一天内有3-6次进食,总进食时间为142.7±22.52 min,在摄食次数、总进食时间、平均摄食量(0.2427±0.0137 g/gBW)、以及脱皮及成活率都远高于其他粒径组,该组中幼蟹的体重增长最快,增加了0.814±0.113 g,增长率为91.5±3.43%;而该组的饵料系数(FCR)最低为1.17±0.11。因此,筐养养殖系统砂掩体的砂粒粒径最好为0.2 mm以下。砂层厚度也有类似结果,5 cm以上厚度养殖效果最佳。平均摄食量为0.2087±0.0046 g/gBW,该厚度下,幼蟹无死亡、100%脱皮,体重也增加最快,增加了0.791±0.121 g,增长率为88.9±3.74%,饵料系数(FCR)达到1.37±0.23,表明筐养系统掩体中砂层厚度要在5 cm以上。三种保护性酶类(SOD, POD, CAT)活性随着砂粒粒径变小和砂层厚度增加而降低,而消化酶类(淀粉酶、蛋白酶、脂酶)活性则表现与保护性酶类相反特性。从两类酶的活性变化也能证实,在优选条件下(细砂、厚度>5 cm),幼蟹所受的胁迫在降低。