采油作业“三废”控制技术研究与应用

针对采油作业产生的废酸、固废、废水处理成本高、技术不成熟等问题,研发改性废酸降压增注、深部调剖技术;高比重污泥悬浮研磨后的固废处理技术;低耗水打塞、原井液+CaCl2压井、原井液处理再利用技术,减少了"三废"的产生,解决了"三废"环保处理费高等问题,消除了环保隐患,实现了清洁生产,环境效益显著。     

Fruit Stones from Industrial Waste for the Removal of Lead Ions from Polluted Water

Lead, one of the earliest metals recognized and used by humans, has a long history of beneficial use. However, it is now recognized as toxic and as posing a widespread threat to humans and wildlife. Treatment of lead from polluted water and wastewater has received a great deal of attention. Adsorption is one of the most common technologies for the treatment of lead-polluted water. This technique was evaluated here, with the goal of identifying innovative, low-cost adsorbent. This study presents experiments undertaken to determine the suitable conditions for the use of peach and apricot stones, produced from food industries as solid waste, as adsorbents for the removal of lead from aqueous solution. Chemical stability of adsorbents, effect of pH, adsorbents dose, adsorption time and equilibrium concentration were studied. The results reveal that adsorption of lead ions onto peach stone was stronger than onto apricot stone up to 3.36% at 3 h adsorption time. Suitable equilibrium time for the adsorption was 3–5 h (% Pb adsorption 93% for apricot and 97.64% for peach). The effective adsorption range for pH in the range was 7–8. Application of Langmuir and Freundlich isotherm models show high adsorption maximum and binding energies for using these adsorbents for the removal of lead ions from contaminated water and wastewater.     

平煤十矿底板巷穿层钻孔瓦斯抽采模拟研究

为了降低平煤十矿己15-16-24130工作面运输巷掘进中的突出危险性,基于实际工程背景,考虑瓦斯抽采中的瓦斯运移及煤岩变形等因素,建立了瓦斯抽采气固耦合模型,并利用COMSOL Multiphysics软件对平煤十矿己15-16煤层的底板巷穿层钻孔瓦斯抽采方案进行数值模拟,研究了瓦斯抽采对于降低掘进过程中突出危险性的影响。研究结果表明:在己18煤层开挖底板巷对己15-16煤层进行穿层钻孔瓦斯抽采,瓦斯抽采180 d后,己15-16-24130工作面运输巷附近煤层残余瓦斯压力及瓦斯含量分别降至0.315 MPa和3.84 m3/t;将底板巷穿层钻孔瓦斯抽采方案进行工程应用,实测抽采后的残余瓦斯压力及瓦斯含量在0.32 MPa和3.17 m3/t,均小于平煤十矿煤与瓦斯突出防治规定的“双6”指标（残余瓦斯压力小于0.6 MPa,残余瓦斯含量小于6 m3/t）,可有效降低运输巷掘进过程中的突出危险性。     

分子筛生产废水中悬浮物的絮凝与回用

对分子筛生产废水进行了絮凝沉降分离试验，确定了絮凝剂、助凝剂及絮凝敢分离条件。试验结果表明，絮凝沉降所得到的絮凝物料的化学组成、结构、性能与絮凝前原废水中的悬浮物基本一致，可返回原生产工序中使用。     

填埋场不同深度垃圾土压缩性的室内试验研究

阐述了垃圾土的压缩机理,归纳了国内外垃圾土压缩性指标的研究成果。根据某填埋场3个不同深度的垃圾土试样,在改装后的高压固结仪上进行压缩试验,得到垃圾土的压缩系数a、主压缩指数C、修正主压缩指数C'、压缩模量E以及体积压缩系数m,并对试验结果进行分析。试验结果表明,垃圾土的初始孔隙比随填埋深度的增加而减小,垃圾土的压缩指数随其可降解度和有机质含量的减少而降低,垃圾土具有高压缩性,其压缩性指标与垃圾的组成和填埋深度有关。将得到的压缩性指标与国内外的资料进行了比较,可为填埋场的设计及变形计算提供参考。     

城市生活垃圾焚烧发电的现状及发展对策

分析了城市生活垃圾焚烧处理的国内外现状和意义,针对近年来新建和在建的垃圾焚烧发电项目或多或少面临的被抵制局面,提出了对策。     

等离子气化技术在垃圾处理中的应用

等离子气化技术已经在国外成功应用多年,其用于解决日益增多的垃圾问题,可将废物转化成有用的资源。本文介绍了等离子气化技术的优点、经济性,以及其在垃圾处理中的应用。     

生活垃圾焚烧发电厂二恶英对人体健康的风险评价

介绍了生活垃圾焚烧过程中二恶英的产生机理、对人体的危害及控制措施,以某生活垃圾焚烧发电厂环境影响评价为例,提出了二恶英对人体健康风险评价方法,同类项目环境影响评价提供借鉴。     

Determination of specific gravity of municipal solid waste

This investigation was conducted to evaluate experimental determination of specific gravity (G_s) of municipal solid waste (MSW). Water pycnometry, typically used for testing soils was adapted for testing MSW using a large flask with 2000 mL capacity and specimens with 100–350 g masses. Tests were conducted on manufactured waste samples prepared using US waste constituent components; fresh wastes obtained prior and subsequent to compaction at an MSW landfill; and wastes obtained from various depths at the same landfill. Factors that influence specific gravity were investigated including waste particle size, compaction, and combined decomposition and stress history. The measured average specific gravities were 1.377 and 1.530 for as-prepared/uncompacted and compacted manufactured wastes, respectively; 1.072 and 1.258 for uncompacted and compacted fresh wastes, respectively; and 2.201 for old wastes. The average organic content and degree of decomposition were 77.2% and 0%, respectively for fresh wastes and 22.8% and 88.3%, respectively for old wastes. The G_s increased with decreasing particle size, compaction, and increasing waste age. For fresh wastes, reductions in particle size and compaction caused occluded intraparticle pores to be exposed and waste particles to be deformed resulting in increases in specific gravity. For old wastes, the high G_s resulted from loss of biodegradable components that have low G_s as well as potential access to previously occluded pores and deformation of particles due to both degradation processes and applied mechanical stresses. The G_s was correlated to the degree of decomposition with a linear relationship. Unlike soils, the G_s for MSW was not unique, but varied in a landfill environment due both to physical/mechanical processes and biochemical processes. Specific gravity testing is recommended to be conducted not only using representative waste composition, but also using representative compaction, stress, and degradation states.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.