The Kwinana Coastal Fumigation Study: I – Program Overview, Experimental Design and Selected Results

Fumigation under sea-breeze conditions is a major feature of the air pollution meteorology in the coastal industrial region of Kwinana, south of Perth in Western Australia. An intensive field experiment on fumigation was carried out in the region in early 1995 with the objective of using the measured data to develop and test a shoreline fumigation model. Fumigation of plumes from the Kwinana Power Station was studied using an instrumented research aircraft, radiosonde balloons, meteorological stations, a lidar, a mobile surface sampler, and sonic anemometers. The study has yielded a detailed and high quality data set as a result of both the range of observations undertaken and of the regularity of the sea-breeze conditions under scrutiny. The details of the experiment are summarised in this paper and some typical results are presented.     

Field variability of landslide model parameters

 A data set of parameters (slope, soil depth and soil shear strength) relevant to spatially distributed modelling of shallow landslides triggered by rain and snowmelt events was determined from field measurements in 250 grid elements of dimensions 25 m (downslope)×10 m (across slope) in an area of 250 m×250 m on a hillslope in Scotland. These data provide an unusually detailed basis for the evaluation of spatial variability and uncertainty in model parameterisation. The variations in slope and soil strength are represented adequately by normal distributions; a Weibull distribution is suggested for the soil depth data. The factor of safety calculated at each point in the grid was shown partially to identify observed landslides, with a number of false predictions of occurrence. Trend analysis and semivariogram analysis of the data set suggest that the use of kriging could improve upon this approach to landslide prediction by providing areal estimates of parameters at the grid element scale with associated error bounds. Received: 30 October 1996 · Accepted: 25 June 1997     

关于拓宽气象工作和服务领域的实践与思考

对江西省气象部门近几年拓宽工作和服务领域的实践进行了回顾,提出了拓宽领域应遵循的原则,并对今后江西省气象部门在拓宽工作和服务领域方面进行了思考。     

Potential field modelling of the Baltica–Avalonia (Thor–Tornquist) suture beneath the southern North Sea

Magnetic anomaly maps of the Trans-European Suture Zone (TESZ) highlight the contrast between the highly magnetic crust of Baltica and the less magnetic terranes to the SW of the suture. Although the TESZ is imaged on gravity maps, anomalies related to postcollisional rifting and reactivated rift structures tend to dominate.

Seismic and potential field data have been used to construct 2 -D crustal models along three profiles crossing the Baltica–Avalonia suture in the southern North Sea (SNS). The first of these models lies along a transect assembled from reflection line GECO SNST 83-07 and refraction profile EUGENO-S 2; the other two models are coincident with MONA LISA profiles 1 and 2. Additional structural information and density information for the cover sequence is available from released wells, while magnetic susceptibility values are compatible with values measured from borehole core samples.

Magnetic anomalies related to the suture are interpreted as due to magnetic Baltican basement of the Ringkøbing-Fyn High dipping SW beneath nonmagnetic Avalonian basement underlying the western part of the SNS. Low-amplitude, long-wavelength magnetic anomalies occurring outboard of the suture are interpreted as due to a mid-crustal magnetic body, possibly a buried magmatic complex. This might represent the ‘missing’ arc related to inferred southward subduction of the Tornquist Sea, or an exotic element emplaced during the collision between Avalonia and Baltica. The present model supports an imbricated structure within Baltica as indicated by the latest reprocessing of the MONA LISA seismic data.     

Reconstruction of the diagenesis of the fluvial-lacustrinedeltaic sandstones and its influence on the reservoir quality evolution

The reservoir quality of Jurassic and Triassic fluvial and lacustrine-deltaic sandstones of the Yanchang Oil Field in the Ordos Basin is strongly influenced by the burial history and facies-related diagenetic events. The fluvial sandstones have a higher average porosity (14.8%) and a higher permeability (12.7 × 10⁻³ μm²) than those of the deltaic sandstones (9.8% and 5.8 ×10⁻³) μm², respectively). The burial compaction, which resulted in 15% and 20% porosity loss for Jurassic and Triassic sandstones, respectively, is the main factor causing the loss of porosity both for the Jurassic and Triassic sandstones. Among the cements, carbonate is the main one that reduced the reservoir quality of the sandstones. The organic acidic fluid derived from organic matter in the source rocks, the inorganic fluid from rock-water reaction during the late diagenesis, and meteoric waters during the epidiagenesis resulted in the formation of dissolution porosity, which is the main reason for the enhancement of reservoir-quality.     

利用深反射地震数据构建的多阶面波频散曲线反演近地表横波速度结构——以跨班公湖—怒江缝合带深反射地震资料为例

深反射地震剖面法为了获取深部结构特征常常采取大的偏移距采集数据.目前公开发表的相关资料中,鲜有利用深反射地震炮集数据获取近地表的结构特征.为此,本文通过正演测试了相关数据处理流程,即利用有限差分正演了起伏地表模型的大偏移距地震单炮弹性波场特征,通过共检波点域面波信号F-K频谱叠加构建新方法,从深反射地震数据集中提取了高品质的多阶面波频散曲线,再利用多阶面波联合反演获得了近地表的结构特征.在前述正演流程基础上,利用跨越班公湖—怒江缝合带的SinoProbe深反射地震剖面中的实际炮集数据,求取了基阶和一阶瑞利波频散曲线,联合反演后得到近地表横波速度结构.该结果与初至波走时反演获取的纵波速度结构具有较好的一致性,且在近地表的浅层分辨率较纵波速度结构特征更高,而更与已有地质认识相吻合.本文提供的相关数据处理流程表明利用深反射地震炮集数据,也能够获取近地表浅层的横波速度结构.     

湍流高阶矩模式中的参数研究

该文为高阶矩湍流方程组的二阶矩闭合方案提供了参数组选择。此参数组是用近地层实测资料结合湍流方程二阶矩闭合方案推算出的。然后，将其与Mellor等人在实验室所得的参数组分别代入湍流二阶矩闭合方程组拟合，得动量(ΦM(ξ))、热量(ΦH(ξ))与稳定度(ξ)的二组关系曲线，可见此二组曲线几乎重合，且与Businger野外近地层实测结果符合较好。拟合的垂直速度方差((W*2)1/2(ξ))、温度方差((θ*2)1/2(ξ))与ξ的二组关系曲线相对于UTAH资料，所得曲线偏差比Mellor曲线偏差小得多，而相对于KANSAS资料，所得曲线偏差稍大于Mellor曲线。     

诊断量无信度时的资料误差限和诊断场无信度区的鉴别

本文用误差传递公式讨论了涡度攻度计算过程中的误差放大现象，指出放大因子的构造形式由差分方案决定，而放大因子的数值大小由流场的风向结构和风速结构决定。放大率随流场结构的变化而在很大范围内变化，致命部分区域诊断结果无信度，本文提出了散度涡度诊断结果无信度时的风场误差限概念，并相应建立了对诊断场作信度鉴别的方法。     

Application of the modified Arps-Roberts discovery proces model to the 1995 U.S. National Oil and Gas Assessment

ARDS (version 4.01), a modified version of the Arps-Roberts discovery process model, was used to forecast the remaining oil and gas resources in more than 50 provinces, super-exploration plays, and individual plays in the onshore and offshore United States for the 1995 National Oil and Gas Assessment. The size distribution of oil and gas fields was estimated for the underlying distribution of fields; the size distribution for the remaining fields was calculated to be the difference between this distribution and that of discovered fields. The guidelines that govern the 1995 National Assessment require the underlying size distribution of fields to be estimated by using only data from two standard commercial data files (the NRG Associates field file and the Petroleum Information Inc. well file). However, a variety of situations required further modification of the discovery process modeling system; for example, multiple exploration plays that occurred nearly simultaneously and also displaced each other in time, and the phenomenon of field growth introduced a large bias in the forecasts produced by the discovery process models for some provinces.     

根据野外震磁测量实践简评G-856质子旋进磁力仪性能

1996年渤海及周围地区被划定为地震重点危险区,为了加强地震监测工作,山东省地震局购置了3台由深圳华隆地球物理仪器工贸公司(中美合资)组装的G-856质子旋进磁力仪。