湖南隆回县土壤硒元素地球化学特征及其影响因素:以石门-滩头镇为例

湖南省隆回县石门-滩头两个乡镇的土地质量地球化学调查共采集表层土壤样品699件,农产品样45件以及4个土壤垂向剖面,系统分析了表层土壤以及农产品中硒元素的含量特征,并探讨了土壤硒元素含量与成土母质、土地利用方式、土壤酸碱度以及有机质之间的关系.结果表明:区内土壤表层硒含量平均值为0.67 mg·kg-1,高于全国背景值...     

地面总辐射的异常减少对气候影响的数值试验

在与实际台风场近似一致的环境流场条件下，应用柱会标中的正压无辐散模式，讨论了台风中扰动的稳定性问题。研究表明，台风暖心结构的台风外围适当强度的冷空气活动有利限台风中扰动发展，且台风愈强，台风中扰动愈易发展。     

星载激光光斑影像激光指向变化探测法

地面光斑足印的定位精度高度依赖于激光指向角的测量精度,星载激光光斑质心提取及其变化规律对激光指向角的分析具有重要的意义。本文基于ICESat/GLAS的激光剖面阵列（laser profile array,LPA）影像数据,首先利用灰度一阶矩阵法提取LPA的质心,精度优于0.3个像素,LPA相对定位精度优于0.11个像素。其次利用傅里叶变换和傅里叶级数拟合对LPA质心坐标的变化进行周期探测和建模分析,结果表明,激光光斑影像的质心坐标存在1.83×10^-4 Hz、3.36×10^-4 Hz、5.19×10^-4 Hz和6.71×10^-4 Hz 4个明显的周期变化,拟合结果的相关性R²达到了0.86,拟合精度可达0.4″,优于0.13个像素,得到了较好的结果。可为我国的高分七号和后续的卫星激光测高数据处理提供参考。     

青海互助一次局地强降水天气多普勒雷达回波分析

利用西宁CINRAD/CD多普勒天气雷达资料及自动站观测数据等从影响降水的主要因子方面探讨了2011年7月2日晚青海互助县一次局地强降水的成因,结果表明:多单体强回波带的活动是造成互助短时强降水的主要原因;速度图上强的辐合和逆风区是预报强降水的关键因子;垂直风廓线图上强烈的垂直风切变是不稳定能量积聚的表现,与强降水联系紧密;垂直累计液态含水量(VIL)和回波顶高也能为强降水预报提供有效信息。     

输水隧道地震响应的多物质ALE数值分析

为研究浅埋输水隧道内部流体对隧道地震响应的影响,考虑黏弹性人工边界、土壤的非线性、隧道结构刚度有效率及流-固耦合作用,建立了双线隧道-土体-流体相互耦合作用的力学模型。通过刚度折减试验得到衬砌环环向、径向、轴向刚度,进而引入正交各向异性连续材料作为衬砌材料模型。采用基于任意拉格朗日-欧拉（ALE）描述法的流-固耦合方法,对上海某大直径双线输水隧道在流体作用下的地震响应进行了分析。通过与等效密度法对比,验证耦合模型对于处理输水隧道多物质非线性耦合抗震问题的可行性。计算结果表明,在水平方向地震激励下,无论一致激励或是非一致激励流体对隧道地震变形和内力都有较大影响,但对位移影响较小;对于不同隧道内水量,隧道弯矩均集中于衬砌隧道45°交叉斜线位置;相比于一致激励,非一致激励增强隧道地震位移和变形响应是明显的。     

Hydrological cycle and water balance estimates for the megadune–lake region of the Badain Jaran Desert,China

The hydrology and water balance of megadunes and lakes have been investigated in the Badain Jaran Desert of China. Field observations and analyses of sand layer water content, field capacity, secondary salt content, and grain size reveal 3 types of important natural phenomenon: (a) vegetation bands on the leeward slope of the megadunes reflect the hydrological regime within the sandy vadose zone; (b) seepage, wet sand deposits, and secondary salt deposits indicate the pattern of water movement within the sandy vadose zone; (c) zones of groundwater seeps and descending springs around the lakes reflect the influence of the local topography on the hydrological regime of the megadunes. The seepage exposed on the sloping surface of the megadunes and gravity water contained within the sand layer confirm the occurrence of preferential flow within the vadose zone of the megadunes. Alternating layers of coarse and fine sand create the conditions for the formation of preferential flows. The preferential flows promote movement of water within the sand layer water that leads to deep penetration of water within the megadunes and ultimately to the recharging of groundwater and lake water. Our results indicate that a positive water balance promotes recharge of the megadunes, which depends on the high permeability of the megadune material, the shallow depth of the surface sand layer affected by evaporation, the occurrence of rainfall events exceeding 15 mm, and the sparse vegetation cover. Water balance estimates indicate that the annual water storage of the megadunes is about 7.5 mm, accounting for only 8% of annual precipitation; however, the shallow groundwater per unit area under the megadunes receives only 3.6% of annual precipitation, but it is still able to maintain a dynamic balance of the lake water. From a water budget perspective, the annual water storage in the megadunes is sufficient to serve as a recharge source for lake water, thereby enabling the long‐term persistence of the lakes. Overall, our findings demonstrate that precipitation is a significant component of the hydrological cycle in arid deserts.     

电阻率综合剖面法在东安岩金矿区勘探中的应用

在黑龙江省东安岩金矿勘探中,采用常规中梯、不同极距偶极、复合对称四极等电阻率剖面测量等物探方法,确定含金硅化蚀变带产状,指导钻探施工,降低勘探费用,缩短勘探周期.     

无人船运动控制方法综述

为实现无人船海上自主作业,无人船运动控制的快速性、准确性以及鲁棒性亟待提高。首先从全驱动控制和欠驱动控制角度,分别概括了国内外无人船航向控制、航速控制、轨迹跟踪控制以及路径跟踪控制的主流控制方法。其次,归纳总结了处理海洋环境不确定扰动的研究进展,包括扰动的建模和消除、抑制扰动的主流方法。最后,总结了无人船运动控制现状与存在的问题,并从工程应用和理论研究两个角度对未来的研究方向进行了展望。     

潮汐河口潮流涨落特性定量判定方法

本文研究了潮汐河口潮流涨、落特性的定量判定方法,给出了判定原则、数学公式和求解方法.并结合实际算例分析了该方法与常规判定方法之间的计算误差.得出结论该方法在实际应用中是实用的,且避免了常规判定方法所存在的问题,计算过程更加合理,计算结果更为可靠.尤其是该方法能通过计算机程序化,将大大提升潮汐河口水文资料整编工作的效率.     

Ensemble retrieval of atmospheric temperature profiles from AIRS

ABSTRACT Satellite-based observations provide great opportunities for improving weather forecasting. Physical retrieval of atmo spheric profiles from satellite observations is sensitive to the uncertainty of the first guess and other factors. In order to improve the accuracy of the physical retrieval, an ensemble methodology was developed with an emphasis on perturbing the first guess. In the methodology, a normal probability density function （PDF） is used to select the optimal profile from the ensemble retrievals. The ensemble retrieval algorithm contains four steps： （1） regression retrieval for original first guess; （2） perturbation of the original first guess to generate new first guesses （ensemble first guesses）; （3） using the ensemble first guesses and nonlinear iterative physical retrieval to generate ensemble physical results; and （4） the final optimal profile is selected from the ensemble physical results by using PDE Temperature eigenvectors （EVs） were used to generate the pertur- bation and generate the ensemble first guess. Compared with the regular temperature profile retrievals from the Atmospheric InfraRed Sounder （AIRS）, the ensemble retrievals RMSE of temperature profiles selected by the PDF was reduced between 150 and 320 hPa and below 400 hPa, with a maximum improvement of 0.3 K at 400 hPa. The bias was also reduced in many layers, with a maximum improvement of 0.69 K at 460 hPa. The combined optimal （CombOpt） profile and a mean optimal （MeanOpt） profile of all ensemble physical results were improved below 150 hPa. The MeanOpt profile was better than the CombOpt profile, and was regarded as the final optimal （FinOpt） profile. This study lays the foundation for improving temperature retrievals from hyper-spectral infrared radiance measurements.