非均匀介质地震AVO响应模拟及分析

地震AVO （amplitude versus offset）技术是一项利用振幅信息研究岩性、检测油气的地震勘探技术。常规方法基于Zoeppritz方程计算模型界面处的反射系数,而实际地下非均匀介质中地震反射特征不仅与入射角度、物性差异有关,还与入射波频率、地层厚度、薄互层结构等因素有关。为此,应用传播矩阵理论充分考虑与这些因素有关的调谐干涉等传播效应,针对实际数据计算非均匀地下介质的高精度合成地震记录,对比Zoeppritz方程、Shuey二项近似方程、Shuey三项近似方程以及传播矩阵算法的模拟效果。研究发现：在小角度入射时Zoeppritz方程、Shuey二项近似方程和Shuey三项近似方程的反射振幅和波形基本一致,大角度入射时Zoeppritz方程与Shuey三项近似方程接近;Zoeppritz算法的模拟结果在小角度入射和浅层情况下与传播矩阵算法差别较小,而在大角度入射和深层情况下与传播矩阵差别较大,说明层间多次波的调谐干涉等传播效应不可忽略。     

Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation

To deal effectively with the evaluation problem of natural disaster risk system affected by many uncertain factors, a multivariate connection number expression is presented. This expression is based on the index samples and evaluation grade criterions of natural disaster risk system and is capable of describing the hierarchy property and fuzziness of membership relationship between index samples and evaluation grade criterions. In this proposed method, the fuzzy evaluation grade criterion problem is resolved by combining triangular fuzzy numbers with multivariate connection number theory, and triangular fuzzy numbers are used to express the discrepancy degree coefficients of connection number and evaluation index weights. Accordingly, a connection number-based evaluation method for the natural disaster system of China (named CN-TFN for short) is established using triangular fuzzy numbers and stochastic simulation. The application results show that the spatial distribution of natural disaster risk grades of China has the trend of aggrandizement from west to east of China. The economically developed and densely populated coastal areas are very likely to have a high level of natural disaster risk grade or above; thus, these areas are the key regions of the natural disaster risk management of China. The results also show that the CN-TFN is able to reflect practical conditions of the evaluation problem of natural disaster system and to provide more reliability information as compared to the existing evaluation methods. This is as a result of its comprehensive usage of various information of subjective and objective uncertainties in the evaluation process of natural disaster risk system and its expression by confidence intervals. Due to the simplicity and generalization, the CN-TFM is applicable to comprehensive risk grade evaluation of various natural disaster systems.     

利用GPR天线-目标极化的瞬时属性分析方法探测LNAPL污染土壤

轻非水相流体(LNAPL)泄漏后会对土壤和地下水造成严重污染,为了准确探测出LNAPL泄漏范围,本文将GPR天线-目标极化的瞬时属性分析方法应用于轻非水相流体污染土壤探测的研究中。采用注入柴油的石英砂砂箱在实验室建立污染土壤模型,利用探地雷达对该污染土壤分别进行天线方位为0°、90°的测量。LNAPL土壤污染物形状、大小、结构并不规则,因此可以通过0°和90°方位天线测量来分析天线-目标极化特征,了解目标物的走向、形状等地下介质信息。通过对预处理后的包含天线-目标极化特征的信息进行瞬时属性分析,LNAPL污染范围可以被清晰地识别,提高了GPR探测能力。     

沉积环境与影响矿井设计的顶板稳定性因素的探讨

煤层顶板的稳定性不仅是影响矿井开采技术条件中的一项主要内容,而且也是进行矿井设计与选择合理支护方法的基础。众所周知,由于顶板条件造成的冒顶事故是生产矿井中最常见、最容易发生的事故。据国内外有关事故的统计资料表明,因冒顶造成的井下伤亡事故常占各类事故之首。为了分析和预测煤层顶板的稳定性,重塑顶板形成时的沉积环境是一种有效的方法。     

Research Status and Progress of Balloon-borne Cloud and Precipitation Particles Probe

The accurate observation of the microphysical structure of cloud and precipitation plays an important role in understanding the formation of clouds and precipitation. In-situ measurement using measuring instruments carried by meteorological balloons is an effective way to obtain the microphysical properties of cloud and precipitation particles, which is a supplementary means for aircraft to observe cloud and precipitation particles. This observation method plays a more and more important role in in-situ measurement. According to the difference of the working principle of the existing balloon-borne cloud and precipitation particles probes, the detectors can be divided into particle impact-sampling sensors, particle imaging sensors, light-scattering sensors, light intensity attenuation sensors and charge measurement sensors. The working principles, key technologies and main advantages and disadvantages of typical instruments were summarized, and their applications to detailed cloud structure acquisition, cloud remote sensing method establishment, cloud and precipitation physical process research and parameterization, and scientific observation of thunderstorm clouds were briefly introduced. Finally, the development trend of balloon-borne cloud precipitation particle detectors was prospected, which will provide reference for related technical research and equipment development.