美国煤矿安全管理发展的研究与分析

为借鉴发达国家在煤矿安全管理的成功经验和失败教训,尽快提高我国煤矿的安全管理水平,采用数量统计和归纳总结等方法,分析美国煤矿安全生产水平与其社会政治、经济、法制、文化、科技、装备等的关系,讨论美国在不同社会发展阶段的社会政治经济特征;根据不同发展阶段的社会生态类型、安全诉求和安全观念对煤矿安全的影响,总结归纳美国由煤矿安全事故高发期向事故快速稳定下降期转变所采取的不同的煤矿安全管理策略。提出煤矿安全发展过程具有明显的阶段性特点,指出在由农业社会向工业化社会发展阶段,事故快速上升是必然的过程,通过完善法律法规等办法可加快煤矿安全向稳定好转的方向发展。     

矿井通风系统稳定性定量判定方法研究

稳定的矿井通风系统是实现矿井安全高效生产的前提,但是随着采掘工作面的推进,通风网络结构的变化,巷道的冒顶变形等,通风系统的稳定性也随之变化.基于矿井通风系统稳定性的重要性、非线性和时变性,运用Lyapounov(李雅普诺夫)稳定性理论和灵敏度,提出了定量分析判定矿井通风系统稳定性的方法.方法以Lyapounov稳定性分...     

基于分形学的瓦斯爆炸事故时序数据分析模型及应用

针对煤矿瓦斯爆炸灾害子系统的复杂非线性动力学特性,以南方某省1958—2007年的煤矿瓦斯爆炸事故发生数构建时间序列,应用霍斯特时间序列数据的标度行为,提出瓦斯爆炸时间序列的重标极差分析(R/S分析)方法。结果表明:瓦斯爆炸时间序列的霍斯特指数为0.550 2,分形维数为1.449 8,其分式布朗运动轨迹表现出一定的持久性和非高斯性。为诊断瓦斯爆炸事故时间序列变异年份,对时间序列进行分段R/S分析,获得变异年份为1974年,以1974年为分界点构成2个时间序列,霍斯特指数分别为0.589 1和0.697 5,分形维数为1.410 9和1.302 5,与煤矿瓦斯爆炸事故时间序列的持久性趋势一致。煤矿瓦斯爆炸事故时间序列看似无序却蕴藏规律,反映了系统的动力学变化特征,R/S分析方法可以描述煤矿瓦斯爆炸事故时间序列的动力学特征。     

矿山企业安全生产管理缺陷预警系统

矿山企业安全管理预警是针对可能发生的事故进行事先预测和防范.介绍了企业安全管理预 警系统的模型、预警系统各模块的功能及基于J2EE模式体系的设计与实现.     

浅谈煤矿建设项目竣工环境保护验收调查

着重阐述了煤矿建设项目的主要环境问题及调查重点和调查内容、方法,分析了煤矿建设项目竣工环境保护验收调查中常存在的一些问题,并提出了几点对策和建议.     

矿山地质环境质量评价数学模型研究概述

在对大量文献和典型矿山地质调查资料研究的基础上,从矿山环境地质问题所导致的结果(资源损毁、地质灾害、环境污染)出发,筛选出合理的评价因子并建立评价指标体系.采用不同的评价方法,通过进行现状—预测—综合评价最终确定矿山地质环境质量评价数学模型;并将评价方法应用于实际矿山地质环境质量评价中,获得了较好的一致性.     

海州露天矿采空区地表CO2通量的试验研究

为探究海州露天矿东邦废弃采空区自然发火状态,基于采空区遗煤自燃特性和气体扩散理论,采用智能土壤气体通量监测系统,以月为单位,对东邦自燃采空区上覆地表CO₂通量开展长周期、多测点连续性监测试验;根据试验区域内地表CO₂通量和土壤温度分布特征,探究地下火区释放CO₂的地表涌出范围和变化情况;同时,着眼于温室气体排放的评估,计算试验区域内的CO₂涌出量,并分析其随时间的变化特征。结果表明:地表CO₂通量与土壤温度有明显正相关性;试验区域地表CO₂高通量区域呈逐月扩大和递增的趋势;CO₂涌出量随月份逐渐递增,试验区域年CO₂涌出量约为3.6×10⁶ m³。     

植物群落对铜尾矿废弃地土壤微生物量和酶活性的影响

以铜尾矿废弃地为对象,研究了铜尾矿废弃地上植物群落发展与表层尾矿微生物量C、N和脱氢酶、过氧化氢碱性磷酸酶和脲酶活性的变化,探讨了植物群落-微生物量C、N_土壤酶活性之间的相互关系.结果表明,随着植物群落的发展,铜尾矿废弃地表层尾矿微生物量和酶活性在不断增加;铜官山老尾矿废弃地白茅群落下表层尾矿(TBM)微生物量和酶活性与杨山冲尾矿废弃地及铜官山新尾矿废弃地表层尾矿微生物量和酶活性存在显著差异性(p<0.05).相关分析表明铜尾矿废弃地表层尾矿微生物量C、N与土壤有机质、总氮之间呈显著正相关(P<0.01);脱氧酶、碱性磷酸酶及脲酶与微生物量C、微生物量N、土壤有机质、总氮之问呈显著正相关(P<0.01),但过氧化氢酶与微生物量C、微生物量N、土壤有机质、总氮之间呈显著负相关(P<0.01).     

Medical geochemistry research in Spišsko-Gemerské rudohorie Mts., Slovakia

This study presents an assessment of the potential impact of geological contamination of the environment on the health of the population in Spišsko-Gemerské rudohorie Mts. (SGR Mts.). The concentration levels of potentially toxic elements (mainly As, Cd, Cu, Hg, Pb, Sb, and Zn) were determined in soils, groundwater, surface water, and stream sediments as well as in the food chain (locally grown vegetables). A medical study included some 30 health indicators for all 98 municipalities of the study area. The As and Sb contents in human fluids and tissues were analyzed in one municipality identified to be at the highest risk. Based on element content, environmental and health risks were calculated for respective municipalities. Out of 98 municipalities 14 were characterized with extremely high environmental risk and 10 were characterized with very high carcinogenic risk from arsenic (groundwater). Extensive statistical analysis of geochemical data (element contents in soils, groundwater, surface water, and stream sediments) and health indicators was performed. Significant correlations between element contents in the geological environment and health indicators, mainly cancer and cardiovascular diseases, were identified. Biological monitoring has confirmed the transfer of elements from the geological environment to human fluids and tissues as well as to the local food chain.     

Arsenite oxidation by <Emphasis Type="Italic">Alcaligenes</Emphasis> sp. strain RS-19 isolated from arsenic-contaminated mines in the Republic of Korea

Arsenite [As(III)]-oxidizing bacteria play important roles in reducing arsenic [As] toxicity and mobility in As-contaminated areas. As-resistant bacteria were isolated from the soils of two abandoned mines in the Republic of Korea. The isolated bacteria showed relatively high resistances to As(III) up to 26 mM. The PCR-based 16S rRNA analysis revealed that the isolated As-resistant bacteria were close relatives to Serratia marcescensa, Pseudomonas putida, Pantoea agglomerans, and Alcaligenes sp. Among the five As-resistant bacterial isolates, Alcaligenes sp. strain RS-19 showed the highest As(III)-oxidizing activity in batch tests, completely oxidizing 1 mM of As(III) to As(V) within 40 h during heterotrophic growth. This study suggests that the indigenous bacteria have evolved to retain the ability to resist toxic As in the As-contaminated environments and moreover to convert the species to a less toxic form [e.g., from As(III) to As(V)] and also contribute the biogeochemical cycling of As by being involved in speciation of As.