露天采矿过程粉尘产生环节及污染治理措施分析研究

粉尘是露天采矿过程的主要污染物之一,露天采矿中粉尘要达到环保要求,需要从生产过程中的凿岩、爆破、装卸、运输、堆存各环节进行污染控制.采用对上述各生产环节中的粉尘产生原理进行分析的方法,找出各个生产环节粉尘的主要产生点,通过对比前人在各个生产环节粉尘控制的研究成果,找出控制粉尘产生的主要影响因素,总结出露天采矿中各个环节上技术经济上最有效的粉尘防治措施,为露天矿山开采污染防治提供系统的解决方案.通过对前人研究成果的总结,汇总形成一套完善的粉尘控制方案.     

Visual MODFLOW在露天矿地下水模拟中的应用

用Visual MODFLOW建立了某露天矿地下水数值模型,运用其跟踪模拟(MODPATH)子模块及溶质运移模拟(MT3D)子模块对该露天矿地下水的水质点示踪和三维污染羽进行了模拟,模拟结果有助于识别该矿露天开采对地下水污染的污染源及污染途径,为预测露天矿开采期间地下水位及水质的变化,采用的监测与预保护措施提供了决策依据。     

矿区土地复垦与生态重建信息管理系统的设计与开发--以平朔露天矿区为例

以平朔露天矿区为例，根据土地复垦和生态重建工程的特点及其科学研究对数据科学管理的需求，采用Micmsoft SQLServer2000和VB6．0语言，构建露天矿区土地复垦与生态重建信息管理系统。介绍了该系统的总体设计、数据库设计和技术要点，实现数据的高效应用和共享，为露天矿区土地复垦与生态重建科学决策、试验示范和推广应用提供必备的条件。     

基于GIS的露天煤矿土地复垦信息系统的建立

通过对露天煤矿土地复垦特点和ＧＩＳ强大功能的分析，阐述了露天煤矿矿土地复垦信息系统建立的设计思想，系统结构，功能和实现途径，并在安太堡露天煤矿人工重建的生态系统上进行运行、验证。结果表明：该系统运行良好。     

植被重建下煤矿排土场土壤熟化过程中碳储量变化

植被重建是治理因露天煤矿的开采而形成的大面积排土场行之有效的措施,了解植被重建模式对排土场土壤有机碳(SOC)储量的影响是筛选植被治理措施的重要因子.在内蒙古准格尔旗黑岱沟露天煤矿,选取15 a治理排土场中5种植被重建模式(自然恢复地、草地、灌木林、乔灌混交林、乔木林),16种植被配置类型,采集土壤剖面(0~100 cm)样品408个,研究不同重建模式下SOC储量的变化.结果表明:1治理排土场植被重建模式显著影响剖面SOC含量与分布(P<0.05),表层0~10 cm SOC呈草地>灌木>乔木>乔灌混交林>自然恢复地;全氮(TN)也呈相似的变化特征.2植被配置类型中,苜蓿地0~10 cm的SOC含量(5.71 g·kg-1)和TN含量(0.49 g·kg-1)均最高,比自然恢复地分别高166.7%和171.3%,且是沙棘、紫穗槐+油松、香花槐的两倍左右.3植被重建对SOC影响深度主要集中在0~20 cm,而对TN的影响可达40 cm.4与新建排土场相比,植被重建后,草地、灌木地和乔木地0~100 cm碳储量分别增加了15.47、6.93和6.95 t·hm-2,但仅相当于原地貌水平的2/3、1/2和1/2.植被重建表现出碳汇效应和巨大的固碳能力.从土壤固碳的角度考虑,建议植被重建模式以草地为主,植被类型优先考虑苜蓿.     

Assessment of Dust Generation Due to Opencast Coal Mining– An Indian Case Study

Every mine in India has to obtain environmental clearance fromthe Govt. Air pollution is one of the most important parametersto be considered in preparing an EIA. However, there is no welldefined method for predicting thr air pollution impact due tomining. Increasing trend of opencast (O/C) mining leads toproduction of huge quantities of dust. Emission factor data havebeen utilised to quantify the generation of dust. The projectunder study is one of the largest opencast project (OCP) forcoking coal. The main sources of air pollution have beenidentified. The rate of emission per unit of a given activityknown as an emission factor has been utilised, taking localfactors into account. It has been estimated that due to topsoilremoval, overburden (O/B) removal, extraction of coal, sizereduction generated 7.8 t of dust per day. Wind erosiongenerated 1.6 t of dust per day and the whole operationproduced dust which accounted for 9.4 mt/day. They cause airpollution in the work zone and surrouding locations. Themethodology adopted may be used to quantify generation for otherprojects also.     

Validation of two air quality models for Indian mining conditions

All major mining activity particularly opencast mining contributes to the problem of suspended particulate matter (SPM)directly or indirectly. Therefore, assessment and prediction are required to prevent and minimize the deterioration of SPM due tovarious opencast mining operations. Determination of emission rate of SPM for these activities and validation of air quality models are the first and foremost concern. In view of the above, the study was taken up for determination of emission rate for SPMto calculate emission rate of various opencast mining activitiesand validation of commonly used two air quality models for Indianmining conditions. To achieve the objectives, eight coal and three iron ore mining sites were selected to generate site specific emission data by considering type of mining, method of working, geographical location, accessibility and above all resource availability. The study covers various mining activitiesand locations including drilling, overburden loading and unloading, coal/mineral loading and unloading, coal handling orscreening plant, exposed overburden dump, stock yard, workshop, exposed pit surface, transport road and haul road. Validation of the study was carried out through Fugitive Dust Model (FDM) and Point, Area and Line sources model (PAL2) by assigning the measured emission rate for each mining activity, meteorologicaldata and other details of the respective mine as an input to the models. Both the models were run separately for the same set ofinput data for each mine to get the predicted SPM concentrationat three receptor locations for each mine. The receptor locationswere selected such a way that at the same places the actual filedmeasurement were carried out for SPM concentration. Statisticalanalysis was carried out to assess the performance of the modelsbased on a set measured and predicted SPM concentration data. The value of coefficient of correlation for PAL2 and FDM was calculated to be 0.990-0.994 and 0.966-0.997, respectively, which shows a fairly good agreement between measured and predicted values of SPM concentration. The average index of agreement values for PAL2 and FDM was found to be 0.665 and0.752, respectively, which represents that the prediction by PAL2 and FDM models are accurate by 66.5 and 75.2%, respectively. These indicate that FDM model is more suited for Indian mining conditions.     

露天煤矿矿区生态资产负债核算技术方案

生态资产负债核算技术体系是施行生态环境管理政绩考核制度的必要科技支撑.目前生态资产研究在核算内容上注重生态资产流量评估而忽视生态资产存量损失计量,强调生态系统服务变化研究而对其变化原因探索不足,并且在研究技术手段上强调3S宏观技术手段而忽视微观生态要素调查和生态环境质量评价,因此尚不足以为地方政府生态环境管控绩效考核提供强有力支撑.针对露天煤矿开采所导致的严峻生态环境问题,将微观研究手段与宏观分析技术方法相结合,通过对比来分析核算时段起止年份生态资产存量的类别、数量、质量、空间格局,辨识矿区采矿作业、土地复垦、生态恢复等人类活动对生态环境的损益类型和特征;基于不同类别存量生态资产质量评价来判别其损益程度,进而划分生态资产负债核算类型区并探究其损益原因;以此为前提探索构建包括存量、流量及负债三部分内容在内的生态资产负债核算框架及技术方法,并采用直接法和间接法编制生态资产负债表.研究旨在弥补现有区域生态资产评估技术的不足,以为生态环境管理绩效考核提供更为客观、详实、可靠的资料数据为核心,倡导生态资产研究内容与方法的革新.      

基于模糊随机可靠性的边坡稳定性评价

影响边坡稳定性的因素中包含有很多的不确定性,这些不确定因素既具有随机性也具有模糊性。基于模糊分析理论,建立了模糊随机可靠性分析模型,提出了边坡模糊随机可靠性分析的点估计法,并运用该方法对一露天矿边坡稳定的的可靠性进行分析,通过对影响边坡稳定的各个力学参数进行模糊处理,然后应用统计矩点估计方法估计边坡的安全系数均值和可靠度,得出边坡的失稳概率。这种方法由于考虑到了各个力学参数的模糊性,比较符合客观实际,因而更具有实际指导意义。     

黄土区露天矿排土场生态建设中水分调控技术的研究

平朔露天煤矿位于半干旱的黄土高原区，经过15年的土地复垦与生态重建，已建成比原有生态系统结构更合理，功能更有效的人工生态系统，形成了一套以水分调控技术为核心的比较良好的生态建设技术体系，水分调控技术的提出，形成和发展是针对矿区生态建设的目标而产生的。本文从矿区可持续发展角度，依据露天矿生态建设中水分调控技术的作用和内容，将水分调控技术分为三个阶段；一是水环境安全调控阶段，二是水土保持阶段；三是水分的资源化利用阶段。水资源化利用是今后露天矿生态建设中水分调控技术发展的趋势，为此着重探讨了其技术内容。