Experimental investigation on the seepage law of pressure-relieved gas under the influence of mining

The stress distribution characteristics of the coal seam floor and the variation of pressure-relieved gas seepage velocity along with working face being advanced were studied experimentally. According to experimental data, the distribution rule and the influence area of abutment pressure of gob floor were analyzed. The scope of “three zones” formed by gas seepage velocity along lateral direction above the gob was determined, and the coupling rule of pressure-relieved gas was summarized. The above results provide a technical support for the spot gas extraction.     

A two-dimensional numerical model for eutrophication in Baiyangdian Lake

Hydrodynamic, physical, and biochemical processes in the Baiyangdian Lake water environment were analyzed comprehensively. An eutrophication ecodynamics model including the effects of reed resistance on flow was coupled with the hydrodynamics governing equations. An improvement on the Water Quality Analysis Simulation Program (WASP, a modeling system introduced by the US Environmental Protection Agency) is established, which uses the zooplankton kinetic equation. The model simulates water quality constituents associated with eutrophication in the lake, including phytoplankton, zooplankton, nitrogen, phosphorus, dissolved oxygen, and others. Various kinetic coefficients were calibrated using measured data or information from relevant literature, to study eutrophication in the lake. The values calculated by the calibrated model agree well with field data, including ammonia nitrogen, total nitrogen, total phosphorus and dissolved oxygen. Changes related to nutrition and dissolved oxygen during the processes were simulated. The present model describes the temporal variation of water quality in Baiyangdian Lake with reasonable accuracy. Deviations between model-simulated and observed values are discussed. As an ideal tool for environmental management of the lake, this model can be used to predict its water quality, and be used in research to examine the eutrophication process.     

Transmission Functions and its application to the analysis of time uncertainties in Protection Engineering

In this paper we explore the concept of transmission Functions and its application to the resolution of the problem posed by the uncertainty in the time to take manual protective actions due for instance to different operator abilities. This time uncertainty is a very special kind of uncertainty with obvious relevance in Protection Engineering problems. Tackling it involves a large amount of simulations of transients associated to sequences of system transitions, resulting from those actions, where the only difference from one simulation to another is the time interval between transitions, the evolution laws being always the same. In order to solve such type of problems, a new formalism is proposed based on the concept of transmission Function. We prove that for a large class of Multiple Input–Multiple Output (MIMO) piecewise linear systems, the output may be obtained as additive contributions of each interval of the sequence, each one characterized via a Transmission Function. We then provide efficient methods to compute Transmission Functions of sequences of canonical Single Input-Single Output (SISO) piecewise systems, and to find the locus of protective action times that lead to damage (damage domain).     

FREEDOM II: An improved methodology to assess domino effect frequency using simulation techniques

The uncertainty and the complexity associated with the domino effect is a barrier to assessing the frequency of such accidents analytically. The use of simulation techniques, such as Monte Carlo, to examine the domino effect instead of analytical techniques has shown great promise. In this paper, a new method to assess the frequency of domino accidents is proposed—FREEDOM II—which is an improvement on the recent algorithm proposed by the authors (FREEDOM). The modifications on FREEDOM were carried out to overcome a limitation of the method and to extend its capabilities. A key shortcoming of the earlier method was its inability to handle multiple failure scenarios. This shortcoming has been overcome in FREEDOM II. A new and improved algorithm has been developed that carries out the simulation in a significantly shorter run time. The applicability of the new model is shown by performing a multi-scenario case study.     

Assessing relocation strategies of urban air quality monitoring stations by GA-based compromise programming

This paper presents a GA-based compromise programming technique for assessing the relocation strategy of urban air quality monitoring network with respect to the multi-objective and multi-pollutant design criteria. While the impact of conservative, quasi-stable, and reactive pollutants are considered in the design principles via a simulation analysis, cost, effectiveness, and efficiency characteristics are postulated in the optimization process. Therefore, technical coverage for illustrating the needs of siting air quality monitoring stations (AQMS) includes both the air quality simulation and optimization modeling analyses in a two-stage analytical framework simultaneously. It starts from determining the spatial interrelationship among those candidate sites using various types of air quality simulation models as an integrated means. And the outputs drawn from the simulation models can then be used as the required inputs in the compromise programming model in order to screen all those siting alternatives that may satisfy the planning goals subject to the essential constraints throughout the multi-objective optimization process. For the illustrating purposes, a series of technical settings for finding the optimal relocation scenarios of AQMS were examined in the case study for the city of Kaohsiung in South Taiwan where the long-term violations of official standards of ozone and particulates turn out to be critical. It not only expresses the ideas of relocation strategy but also indicates how to utilize those alternatives in the decision-making process for improving the functionality of air quality monitoring in the urban environment. Experience gained in this study clearly indicates that the more the number of pollutants and objectives considered simultaneously, the higher the number of candidate sites to be selected in the relocation strategy.     

Simulation of socio-ecological impacts: Modeling a fishing village

The interrelationship of society and environment is addressed here through the study of a remote fishing village of 750 people. An interdisciplinary study evaluated demographic, economic, and social aspects of the community, and simulation modeling was used to integrate these societal characteristics with environmental factors.The population of the village had grown gradually until the 1960's, when a decline began. Out-migration correlated with declining fish harvests and with increased communications with urban centers. Fishing had provided the greatest economic opportunity, followed by logging. A survey was conducted to investigate the costs and revenues of village fishermen. Diversification characterized the local fleet, and analysis showed that rates of return on investment in the current year were equal between vessel types.The variable levels and rate parameters of the demographic, economic, and social components of the model were specified through static and time series data. Sensitivity analysis to assess the effects of uncertainty, and validation tests against known historical changes were also conducted. Forecast scenarios identified the development options under several levels of fish abundance and investment. The weight given to ecological versus economic resource management registered disproportionate effects due to the interaction between investment and migration rates and resource stochasticity. This finding argues against a golden mean rule for evaluating policy trade-offs and argues for the importance of using a dynamic, socio-ecological perspective in designing development policies for rural communities.     

用矿井通风仿真系统(MVSS)确定通风系统优化改造方案

论述了矿井通风仿真系统 (MVSS)的功能 ,用MVSS仿真模拟增加或减少风路对周围其他风路的影响 ,仿真模拟拆除或增加机站对周围通风系统的影响 ,并以金川矿井 115 0水平为例 ,阐明了用MVSS确定通风系统优化改造方案的方法 ,对通风系统现状分析、通风网络优化、通风系统的设计提供了科学的依据和实用方法。     

座舱减压时间对应急供氧参数的影响

通过实验和理论计算的方法对座舱爆炸减压过程中压力变化进行了研究 ,推导了座舱减压时间的计算公式 ;并就座舱减压时间的变化对应急供氧参数进行了分析。结果表明 :减压时间与座舱的容积成正比 ,与爆炸孔的有效面积成反比 ;减压时间的不同 ,对爆炸减压峰值有影响 ,而对剩余压力、稳定值影响不大。研究结果为今后进行供氧系统的爆炸减压实验提供了依据     

新庄煤矿井下出现不明雾气原因分析

根据新庄煤矿 1110 1进风巷出现不明雾气 ,笔者认为 ,研究和分析该雾气的成因及是否有毒 ,对煤矿安全生产和矿工的生命安全与健康至关重要。通过现场气象测定和实验室模拟试验 ,确定了雾气成因 ,经雾气发生地点采样分析 ,空气中未发现有毒气体。经实测分析和研究表明 ,进风巷雾气成因是 :当突然打开 1110 1工作面回风巷道中的调节风门时 ,巷道气压突然降低 ,空气膨胀 ,温度有所下降 ,使得空气中的水分凝结 ,从而形成雾气。通过实验室模拟实验再现了这一过程 ,表明对雾气现象的分析和研究的结果是正确的     

铁路行包营运管理信息系统安全监控仿真研究

从系统平台、通讯网络、数据库和业务应用系统 4个方面 ,分析了影响铁路行包营运管理信息系统安全的主要因素。借鉴国际标准化组织 (ISO)提出的开放式系统互联参考模型 (OSI RM )和Manager Agent模式 ,设计了层次型安全监控仿真系统 ,并在UnicenterTNG软件平台上进行了实现。实验结果表明 ,该仿真系统能够较好地实现对行包营运管理信息安全以及业务流程的监视。