水环境数学模拟的应用现状及存在问题

水环境中污染物的迁移转化过程模拟和预测是水生态环境健康诊断、预测、预警及控制管理的重要基础。水环境数学模拟已经在国内外有了非常广泛的应用,并且成为国内外学者研究的热点。本文介绍了水环境数学模型的基础研究和应用现状,并提出其发展趋势和国内水质数学模型存在的主要问题。     

吉林省海沟金矿断裂地球化学预测研究

在总结海沟矿区控矿断裂构造几何形态学，动力学，运动学和地球化学特征基础上，应用数学模拟和GIS图层分析技术，综合分析研究断裂构造控矿规律和金矿成矿地球化学行为，初步建立了断裂构造地球化学定位预测模型。并对矿区主要赋矿构造-28号矿体深部及外围进行打矿预测。     

矿山淹井中水位、水量的快速估算和预报

本文用数理统计方法,快速估算和预报矿山淹井中水住、最高水位,矿井水涌量、涌入矿区的总水量和需要排出水量。用简单易行的反推法确定淹井的涌水量,并推导出计算式,以供使用。该方法在某矿淹井中使用,效果良好。     

天然气水合物加热开采机理及数学模型

在目前已有的主要水合物开采方法研究的基础上,进一步研究了天然气水合物加热开采法的机理。研究认为,水合物是加热分解、热传导和含化学分解的液、气两相渗流流动,它们之间既相互独立,又相互联系。并将水合物区划分为分解区和未分解区,将分解区前缘作为可移动的分界面,分区建立了加热分解热传导数学模型及含分解化学反应的液、气两相渗流流...     

页岩储层可压裂性影响因素及评价方法

可压裂性是页岩在水力压裂中具有能够被有效压裂的能力的性质,是页岩开发中最关键的评价参数,影响因素包括页岩脆性、天然裂缝、石英含量、成岩作用及其他因素,目前常利用页岩矿物组成或岩石力学参数来表征,难以全面反映页岩在水力压裂过程中的综合性质。采用极差变换和经验赋值方法将参数标准化,使用层次分析法确定不同因数对可压裂性影响的权重,使用标准化值与权重系数加权得到可压裂系数的数学模型可对页岩可压裂性进行定量评价。可压裂系数越大,页岩可压裂性越强。采用该模型计算渝东南地区渝页1井龙马溪组页岩可压裂系数为0.485 5,Barnett页岩可压裂系数为0.484 4,总体处于同一水平;同时,使用该模型将页岩可压裂性分为3个级别,可压裂系数在0.132 0~0.282 0的页岩可压裂性低,水力压裂效果不佳;可压裂系数在0.282 0~0.456 7的页岩可压裂性中等,水力压裂能够取得较好的效果;可压裂系数在0.456 7~0.784 0的页岩可压裂性高,是优质的可压裂层。水力压裂应选择可压裂系数大于0.360 7的页岩。     

黄河下游漫滩高含沙洪水滩槽界定及泥沙时空沉积特性

黄河下游漫滩高含沙洪水河床调整剧烈,多数断面洪水后形成"相对窄深河槽",洪水前后河槽宽度发生明显变化。分别以观测断面洪水前后的河槽宽度为基准,计算漫滩高含沙洪水期泥沙时空沉积分布,结果表明,漫滩高含沙洪水与非漫滩高含沙洪水相比,能将主河槽内淤积泥沙量的59.3%搬运至嫩滩或滩地,减缓主河槽淤积。在分析研究基础上,建立了洪水后漫滩河段河槽相对缩窄率与洪水前期河槽宽度的量化关系,洪水后主槽宽度缩窄率为15.5%~44.0%;分析遴选了漫滩高含沙洪水滩地淤积量与主要水力因子间关联度及物理含义,给出了漫滩高含沙洪水滩地淤积量与相应水力因子间的响应函数;初步提出漫滩洪水河道塑槽淤滩的临界水沙配置指标,临界水沙系数取值为0.025~0.040。成果对高含沙洪水调控具有一定的指导意义。     

Electrical analogy for modelling thermal regime and moisture distribution in sandy soils

The soil mass is subjected to temperature variation due to several human activities (viz. tanks storing heated fluids, buried cables and pipelines, air-conditioning ducts, disposal of nuclear and thermal power plant wastes etc.), which result in heat-induced migration of the moisture in it. Though several studies have been conducted in the past to investigate the mechanism of heat migration through the soil mass, a methodology for ‘real-time measurement of the variations in temperature, flux and moving moisture front, in tandem, with respect to space' has rarely been attempted. In this context, extensive laboratory investigations were conducted to measure real-time flux and temperature variations in the sandy soils, and the validation of results has been done by employing an equivalent electrical circuit programme, LTspice. Subsequently, a mathematical model PHITMDS (i.e. Prediction of Heat-Induced Temperature and Moisture Distribution in Soil) has been developed and its utility and efficacy, for predicting the depth-wise temperature and heat-induced moisture migration, due to evaporation, in terms of position of moving moisture front in the sandy soil has been critically discussed and demonstrated.     

Shape analysis and multispectral classification in geological remote sensing

This paper discusses the usage of mathematical morphology in image processing of remotely-sensed data for geologic interpretation. Particular attention is given to noise-reducing transformations of spectral bands before and after different methods of classification, and to the usage of textural context. The development of a viable processing strategy requires a multidisciplinary approach and expert knowledge in different areas: (a) geology, geomorphology, and vegetation in a study area, (b) properties of the sensor for imagery photointerpretation, (c) spectral/spatial properties of the digital data within an integrated dataset (remote sensing and ancillary data), and (d) data-processing tools including mathematical morphology theory. Examples of geometric characterization of Canadian LANDSAT scenes are described in which shape measurements are obtained using a PC-based hybrid image-processing and geographic information system, termed ILWIS, which was developed at ITC, in the Netherlands. Classes from supervised and unsupervised classification are compared to guide in geological mapping. Classes over individual occurrences of broad vegetation-landform units are studied to aid in environmental mapping. Field knowledge is the context necessary to construct expert procedures to drive sequences of data-processing steps toward a target result such as optimal classification, enhancement, or feature extraction. The interaction between expert rules and the image-processing steps can be based on synthetic measurements of shape to quantize the information either spatially or spectrally. Many useful geometrical transformations of spatially-distributed data are extensions or generalizations of spatial analysis functions typical of geographic information systems.     

粉煤灰中污染离子淋释试验及其运移模型

通过对不同介质条件下粉煤灰中污染离子的淋释实验,得出一些离子淋释规律,在此基础上,对粉煤灰中淋释污染离子在地下水中的浓度变化从理论上给出两种数学模型