多连通域浮式平台波浪载荷水池模型试验研究

大型多连通域浮式平台的典型代表是大型海上旅游浮式综合体,依据概念设计,开展大型多连通域浮式平台的波浪载荷水池模型试验研究,试验对不同海况下4种典型多连通域浮式平台方案进行波浪载荷测量,包括剖面的垂向弯矩、水平弯矩和扭矩等,通过观察试验现象和分析测量数据,获得了不同方案大型多连通域浮式平台的波浪载荷特性。试验结果表明：由于平台质量大、振动阻尼大,所以高频载荷成分小;平台在自由状态下载荷值基本都小于平台只释放垂荡状态载荷值;在方案四高波高状态下,平台波浪载荷的高频成分包含了波浪的非线性、约束柱与平台之间的耦合、平台自身的高频振动等。研究成果可为大型海上旅游浮式综合体的结构设计提供设计载荷输入,支撑平台的强度校核评估。     

The Early Permian Woniusi Flood Basalts from the Baoshan Terrane, SW China: Petrogenesis and Geodynamic Implications

The Woniusi flood basalts from the Baoshan terrane, SW China, represent a significant eruption of volcanic rocks which were linked to the Late Paleozoic rifting of the Cimmeria from the northern margin of East Gondwana. However, the precise mechanism for the formation and propagation of the rifting is still in debate. Here we report ⁴⁰ Ar/³⁹ Ar dating, whole-rock geochemistry, and Sr–Nd–Pb isotopes for the Woniusi basalts from the Baoshan terrane of SW China, with the aim o...     

末次冰盛期-全新世东海陆坡滑塌沉积的地质年代与沉积学证据

基于东海陆坡区OT12-01孔长度为5.35 m沉积物AMS 14C测年、高分辨率粒度分析和XRF岩芯元素扫描数据,识别出了末次冰盛期(LGM)至全新世期间发生的多次滑塌事件。研究发现,OT12-01孔全新世晚期沉积层缺失,LGM至全新世期间呈现AMS 14C年龄模式频繁倒转、沉积物粒度、元素比值垂向上多处突变或"错动"等特征,保存了LGM至全新世非连续的沉积记录。OT12-01孔沉积物主要来源于低海平面时期的长江/黄河物质,OT12-01孔是由中国大陆陆源物质在东海陆架经水动力分选,细颗粒被搬运至东海陆坡后,发生多次滑塌形成。LGM时期物源供给是OT12-01孔形成滑塌沉积的重要因素,末次冰消期海平面快速上升可能是高频滑塌沉积的触发原因,而低海平面时期甲烷水合物溢出、频繁的地震和火山喷发可能是海底滑坡作用发生的诱因。     

超声提取-气相色谱法测定覆盖区土壤中的六六六和滴滴涕

将超声波提取技术引入到覆盖区土壤样品六六六、滴滴涕组分的预处理中,建立了超声提取,磺化法净化,气相色谱测定的分析方法。对被测组分在超声波提取中的稳定性进行了试验,对超声提取时间、提取温度、提取溶剂用量以及磺化净化过程可能导致组分损失的各种相关条件逐个试验筛选,采用样品加标回收法对六六六、滴滴涕的8种组分进行了两种浓度的精密度和准确度试验,RSD值均小于10％,平均回收率92．5％-103．9％。方法对各种异构体的六六六、滴滴涕的最低检测浓度为0．30-3．89ng／g。     

降雨诱发浅层黄土滑坡变形破坏机制

由降雨引发的浅层黄土滑坡灾害具有致灾性强、范围广、影响面积大等特点,是黄土高原地区危害严重的地质灾害类型。经典算法采用安全系数描述坡体稳定性,难以对坡体变形破坏的起始位置和实际失效面加以识别,限制了滑坡变形过程的描述和滑坡有效预测。以非饱和土吸应力理论为指导,基于Hydrus中的Slope Cube模块,建立黄土斜坡水-力耦合模型,结合黄土地区易滑坡形态统计数据,针对凸型、凹型、直线型3种坡型与30°、40°、50°三种坡度组合,计算了不同降雨条件下的坡体稳定性响应。结果表明,不同坡型的黄土斜坡对降雨条件具有明显的响应。相同降雨量、相同坡度条件下直线型坡发生浅表层破坏的可能性最低,凹型坡次之、凸型坡的稳定性最差。与之相对应的,相同条件下凸型坡失稳时间最短、凹型坡次之、直线型坡最长。本研究可为浅层滑坡的早期识别和预报提供支撑。     

反射波成像与纵波径向速度成像在华北油田裂缝型碳酸盐岩储层勘探开发中的联合应用

碳酸盐岩地层因成藏复杂,缝洞储层非均质性强、常规测井响应特征不明显,给勘探和有效开发带来较大难度。缝洞型储层有效性评价是深层油气勘探开发中面临的主要难题。对于储层中尺度较小的裂缝,由于地震的分辨率较低,常规测井方法探测深度较浅,难以对数十米地质构造进行准确评价。近年来发展起来的单井偶极横波反射成像技术能够有效利用低频横波的传播特点,对井旁20～30 m范围内的声反射体进行成像。纵波径向速度成像技术利用多接收阵列反演井壁1 m以内的纵波速度变化,能较好地指示储层的可改造性。偶极横波反射成像较好地发现井壁裂缝延伸以及井旁裂缝,纵波径向速度成像可反映井壁附近储层纵波速度变化,综合认为裂缝较发育,延伸较远或存在井旁隐蔽裂缝储层且井壁纵波径向速度变化较大的层段,具有较好的储层改造潜力。应用该方法对华北油田河西务潜山几口井进行处理分析,分析结果与储层改造后产液有较好的对应性,值得进一步推广应用。     

Consistent seasonal snow cover depth and duration variability over the Western Himalayas (WH)

Precipitation in solid form, i.e., snow, during winter season over the Western Himalayas (WH) leads to the build-up of seasonal snow cover. Seasonal snow cover build-up (snow cover depth and duration) largely depends on atmospheric variables such as temperature, precipitation, radiation, wind, etc. Integrated (combined) influence of atmospheric variables on seasonal snow cover gets reflected in terms of spatial and temporal variability in seasonal snow cover build-up pattern. Hence spatial and temporal variability of seasonal snow cover build-up can serve as a good indicator of climate change in high altitude mountainous regions like the WH. Consistent seasonal snow cover depth and duration, delay days and early melt days of consistent seasonal snow cover at 11 stations spread across different mountain ranges over the WH were analyzed. Mean, maximum and percentiles (25th, 50th, 75th, 90th and 95th) of consistent seasonal snow cover depth and duration show decline over the WH in the recent past 2–3 decades. Consistent seasonal snow cover is found to melt early and snow cover build-up pattern is found to show changes over the WH. Decline in consistent seasonal snow cover depth, duration and changing snow cover build-up pattern over the WH in recent decades indicate that WH has undergone considerable climate change and winter weather patterns are changing in the WH.     

Characteristics of the Asian–Pacific Oscillation in Boreal Summer Simulated by BCC_CSM with Different Horizontal Resolutions

The summer Asian–Pacific Oscillation(APO) is a major teleconnection pattern that reflects the zonal thermal contrast between East Asia and the North Pacific in the upper troposphere. The performance of Beijing Climate Center Climate System Models(BCC CSMs) with different horizontal resolutions, i.e., BCC CSM1.1 and BCC CSM1.1(m), in reproducing APO interannual variability, APO-related precipitation anomalies, and associated atmospheric circulation anomalies, is evaluated.The results show that BCC CSM1.1(m) can successfully capture the interannual variability of the summer APO index. It is also more capable in reproducing the APO's spatial pattern, compared to BCC CSM1.1, due to its higher horizontal resolution. Associated with a positive APO index, the northward-shifted and intensified South Asian high, strengthened extratropical westerly jet, and tropical easterly jet in the upper troposphere, as well as the southwesterly monsoonal flow over North Africa and the Indian Ocean in the lower troposphere, are realistically represented by BCC CSM1.1(m), leading to an improvement in reproducing the increased precipitation over tropical North Africa, South Asia, and East Asia, as well as the decreased precipitation over subtropical North Africa, Japan, and North America. In contrast, these features are less consistent with observations when simulated by BCC CSM1.1. Regression analysis further indicates that surface temperature anomalies over the North Pacific and the southern and western flanks of the Tibetan Plateau are reasonably reproduced by BCC CSM1.1(m), which contributes to the substantial improvement in the simulation of the characteristics of summer APO compared to that of BCC CSM1.1.     

An algorithm to retrieve precipitation with synthetic aperture radar

This paper presents a new type of rainfall retrieval algorithm, called the model-oriented statistical and Volterra integration. It is a combination of the model-oriented statistical (MOS) and Volterra integral equation (VIE) approaches. The steps involved in this new algorithm can be briefly illustrated as follows. Firstly, information such as the start point and width of the rain is obtained through pre-analysis of the data received by synthetic aperture radar (SAR). Secondly, the VIE retrieval algorithm is employed over a short distance to obtain information on the shape of the rain. Finally, the rain rate can be calculated by using the MOS retrieval algorithm. Simulation results show that the proposed algorithm is effective and simple, and can lead to time savings of nearly 50% compared with MOS. An example of application of SAR data is also discussed, involving the retrieval of precipitation information over the South China Sea.     

Estimation of Above Ground Biomass for Central Indian Deciduous Forests Using ALOS PALSAR L-Band Data

Reliable and accurate estimates of tropical forest above ground biomass (AGB) are important to reduce uncertainties in carbon budgeting. In the present study we estimated AGB of central Indian deciduous forests of Madhya Pradesh (M.P.) state, India, using Advanced Land Observing Satellite – Phased Array type L-band Synthetic Aperture Radar (ALOS-PALSAR) L-band data of year 2010 in conjunction with field based AGB estimates using empirical models. Digital numbers of gridded 1?×?1° dual polarization (HH & HV) PALSAR mosaics for the study area were converted to normalized radar cross section (sigma naught - σ⁰). A total of 415 sampling plots (0.1 ha) data collected over the study area during 2009–10 was used in the present study. Plot-level AGB estimates using volume equations representative to the study area were computed using field inventory data. The plot-level AGB estimates were empirically modeled with the PALSAR backscatter information in HH, HV and their ratios from different forest types of the study area. The HV backscatter information showed better relation with field based AGB estimates with a coefficient of determination (R²) of 0.509 which was used to estimate spatial AGB of the study area. Results suggested a total AGB of 367.4 Mt for forests of M.P. state. Further, validation of the model was carried out using observed vs. predicted AGB estimates, which suggested a root mean square error (RMSE) of ±19.32 t/ha. The model reported robust and defensible relation for observed vs. predicted AGB values of the study area.