Mapping of an approximate neutral density surface with Ungridded data

A neutral density surface is a logical study frame for water-mass mixing since water parcels spread along such a surface without doing work against buoyancy restoring force. Mesoscale eddies are believed to stir and subsequently mix predominantly along such surfaces. Because of the nonlinear nature of the equation of state of seawater, the process of accurately mapping a neutral density surface necessarily involves lateral computation from one conductivity, temperature and depth （CTD） cast to the next in a logical sequence. By contrast, the depth of a potential density surface on any CTD cast is found solely from the data on this cast. The lateral calculation procedure causes a significant inconvenience. In a previous paper by present author published in this journal （You, 2006）, the mapping of neutral density surfaces with regularly gridded data such as Levitus data has been introduced. In this note, I present a new method to find the depth of a neutral density surface from a cast without having to specify an integration path in space. An appropriate reference point is required that is on the neutral density surface and thereafter the neutral density surface can be determined by using the CTD casts in any order. This method is only approximate and the likely errors can be estimated by plotting a scatter diagram of all the pressures and potential temperatures on the neutral density surfaces. The method assumes that the variations of potential temperature and pressure （with respect to the values at the reference point） on the neutral density surface are proportional It is important to select the most appropriate reference point in order to approximately satisfy this assumption, and in practice this is found by inspecting the θ-p plot of data on the surface. This may require that the algorithm be used twice. When the straight lines on the θ-p plot, drawn from the reference point to other points on the neutral density surface, enclose an area that is external to the cluster of θ-p points of the neutral density surface, errors will occur, and these errors can be quantified from this diagram. Examples showing the use of the method are presented for each of the world＇s main oceans.     

Statistical analysis of fracture properties based on particle swarm optimization and Pearson correlation coefficient method

Prediction of reservoir fracture is the key to explore fracture-type reservoir. When a shear-wave propagates in anisotropic media containing fracture,it splits into two polarized shear waves: fast shear wave and slow shear wave. The polarization and time delay of the fast and slow shear wave can be used to predict the azimuth and density of fracture. The current identification method of fracture azimuth and fracture density is cross-correlation method. It is assumed that fast and slow shear waves were symmetrical wavelets after completely separating,and use the most similar characteristics of wavelets to identify fracture azimuth and density,but in the experiment the identification is poor in accuracy. Pearson correlation coefficient method is one of the methods for separating the fast wave and slow wave. This method is faster in calculating speed and better in noise immunity and resolution compared with the traditional cross-correlation method. Pearson correlation coefficient method is a non-linear problem,particle swarm optimization( PSO) is a good nonlinear global optimization method which converges fast and is easy to implement. In this study,PSO is combined with the Pearson correlation coefficient method to achieve identifying fracture property and improve the computational efficiency.     

水稻土有机碳密度的空间预测分析——以浙江省长兴县为例

准确预测未采样区域SOC密度,是研究SOC演变趋势和探索土壤固碳作用对缓解全球气候变化的基础。采用泛克里格法(Universal Kriging,UK)和土壤类型法(pedological professional knowledge-based method,PKB),分别对长兴县水稻土有机碳密度进行了预测,其中,UK直接以长兴水稻土剖面资料为源数据、PKB以长兴水稻土剖面数据和长兴1∶5万数字土壤图为源数据进行预测。根据平均绝对误差(MAE)及均方根误差(RMSE)大小,评价了两种方法在县域尺度土壤有机碳密度空间预测效果。结果表明:UK的MAE(31.2)、RMSE(52.5)均大于PKB的MAE(24.7)、RMSE(43.1),说明PKB法的预测效果较好,UK法相对较差。研究表明,对土壤类型、土壤母质,以及剖面点位置等信息的综合考虑能使PKB法更好地表达土壤属性的空间特征,也更适于县域尺度土壤有机碳密度的空间预测。     

高密度电法在老山隧道勘察中的应用

应用高密度电阻率法勘察宁淮高速公路南京老山隧道工程,查明了隧道YK5 280~ZK5 540段的地层分布和构造特征,并推断出鹰嘴山断层的位置和产状,结合勘察资料证明该断层为高角度逆断层。预测出隧道和断层破碎带相交处为浅部裂隙岩溶含水带中的优良导水带,该处涌水的可能性很大,其推断结果在施工中得到证实。说明高密度电法是进行隧道勘察和构造裂隙岩溶富水带探测的一种可靠手段。     

一种以FCD模型从SPOT影像提取植被覆盖率的方法

论及以FCD模型原理提取植被覆盖率的方法;同时,针对SPOT影像的波段特征,重新构造了相关指数:植被指数(VI)、裸土指数(BI)和阴影指数(SI),并在ERDAS软件系统上对该方法进行了实验。然后,通过野外实地考察,应用 GPS、数码相机等进行实地采点,并对该方法得出的结果进行了验证。结果表明,总体精度达到了80％以上,说明该方法具有较高的提取精度,能满足大中尺度的植被覆盖率调查要求。     

Changes of residential land density and spatial pattern from 1989 to 2004 in Jinan City,China

Urban sprawl is driven by a myriad of factors, the predominant one of which is the development of residential land. Selecting part of Jinan City for a case study, we use the landscape metric of percent of landscape (PLAND) to capture residential land growth and density changes in 1989, 1996 and 2004 to illuminate the dynamic process of residential land development. The results indicate that the moving window method and the landscape metrics method are efficient ways to describe residential land density. The residential land showed the greatest change among the built-up land with 1995.68 ha from 1989 to 2004, which is mainly transformed from agriculture land and green space. The urban center area of study area is primarily covered with medium density residential land, and surrounded by high density residential land. The development pattern of residential land exhibited both fill-in (new growth occurs through infilling the free spaces within the developed area) and sprawl processes, influenced by a series of factors, such as urban development policy, conservation of springs, recreational and aesthetic amenities. The findings of the study will help to guide urban planning with a focus on the management and protection of the environment and resources.     

高密度电阻率法在废弃矿山滑坡灾害勘察中的应用

高密度电阻率法是一种成熟的工程物探方法,广泛应用于地质灾害调查。废弃矿山在不良天气条件下容易产生滑坡地质灾害。对由废弃渣石、杂填土人工堆积形成的滑坡体进行勘察,研究高密度电阻率法在该环境下的勘察效果。通过对视电阻率反演断面图分析,推断滑动面深度、滑床起伏形态等滑坡体地质结构信息,为废弃矿山滑坡灾害治理设计提供依据。钻探验证表明,高密度电阻率法有效的推断出滑坡体滑动面深度、滑床起伏形态信息,可用于废弃矿山滑坡灾害勘察。     

Density Perturbation and Energy Flux of Internal Waves from Velocity Data

Internal waves play a crucial role in ocean mixing, and density perturbation and energy flux are essential quantities to investigate the generation and propagation of internal waves. This paper presents a methodology for calculating density perturbation and energy flux of internal waves only using a velocity field that is based on linearized equations for internal waves. The method was tested by numerical simulations of internal waves generated by tidal flowing over a Gaussian topography in a stratified fluid. The density perturbations and energy fluxes determined using our method that only used velocity data agreed with density perturbations and energy fluxes determined by the equation of state based on temperature data. The mean relative error (MRE) and root mean square error (RMSE) between the two methods were lower than 5% and 10% respectively. In addition, an experiment was performed to exam our method using the velocity field measured by Particle Image Velocimetry (PIV), and the setup of the experiment is consistent with the numerical model. The results of the experiments calculated by the methods using PIV data were also generally equal to those of the numerical model.     

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一种识别异常中子、密度孔隙度测井曲线新方法:以中东W油田Mishrif储层为例

测井曲线质量检查是储层测井评价必不可少的一个环节。在评价中东W油田Mishrif储层的过程中,声波曲线频率图峰值都近似一致,但相邻几十口井的密度曲线测量值偏高,中子曲线测量值偏低,密度和中子曲线交会所得到的孔隙度比声波计算的孔隙度要小,在井数较多的情况下利用频率图来检查曲线质量是个巨大的耗时工程。基于此,研究了一种自动识别异常中子、密度曲线的新方法,即利用中子、密度曲线重构一条新曲线,通过该曲线与正常声波曲线之间的距离大小来自动识别具有异常曲线的井,结果表明当该值大于或等于0.4时,中子、密度曲线正常,反之则异常。在自动识别异常曲线之后,结合曲线在测井道上的刻度与响应特征,根据前人校正的不足又提出了新的校正方法,引入新的校正公式,将异常中子、密度曲线校正到正常的位置,校正后的中子、密度曲线交会得到了合理的总孔隙度。