REST-Rossendorf expert system for surface and sorption thermodynamics

This paper presents a digitized version of a thermodynamic sorption database, implemented as a relational database with MS Access. It is mineral-specific and can therefore be used for additive models of complex solid phases such as rocks or soils. An integrated user interface helps users to access selected mineral and sorption data, to extract internally consistent data sets for sorption modeling, and to export them in formats suitable for other modeling software. Data records comprise mineral properties, specific surface area values, surface binding sites' characteristics, sorption ligand information, and surface complexation reactions. An extensive bibliography is included, providing links not only to the above listed data, but also to background information concerning surface complexation model theories, evidence for surface species, and sorption experimental techniques.     

Modeling in situ ozonation for the remediation of nonvolatile PAH-contaminated unsaturated soils

Mathematical models were developed to investigate the characteristics of gaseous ozone transport under various soil conditions and the feasibility of in situ ozone venting for the remediation of unsaturated soils contaminated with phenanthrene. On the basis of assumptions for the mass transfer and reactions of ozone, three approaches were considered: equilibrium, kinetic, and lump models. Water-saturation-dependent reactions of gaseous ozone with soil organic matter (SOM) and phenanthrene were employed. The models were solved numerically by using the finite-difference method, and the model parameters were determined by using the experimental data of Hsu [The use of gaseous ozone to remediate the organic contaminants in the unsaturated soils, PhD Thesis, Michigan State Univ., East Lansing, MI, 1995]. The transport of gas-phase ozone is significantly retarded by ozone consumption due to reactions with SOM and phenanthrene, in addition to dissolution. An operation time of 156 h was required to completely remove phenanthrene in a 5-m natural soil column. In actual situations, however, the operation time is likely to be longer than the ideal time because of unknown factors including heterogeneity of the porous medium and the distribution of SOM and contaminant. The ozone transport front length was found to be very limited (< 1 m). The sensitivity analysis indicated that SOM is the single most important factor affecting in situ ozonation for the remediation of unsaturated soil contaminated with phenanthrene. Models were found to be insensitive to the reaction mechanisms of phenathrene with either gas-phase ozone or dissolved ozone. More study is required to quantify the effect of OH* formation on the removal of contaminant and on ozone transport in the subsurface.     

Reactive transport modeling of processes controlling the distribution and natural attenuation of phenolic compounds in a deep sandstone aquifer

Reactive solute transport modeling was utilized to evaluate the potential for natural attenuation of a contaminant plume containing phenolic compounds at a chemical producer in the West Midlands, UK. The reactive transport simulations consider microbially mediated biodegradation of the phenolic compounds (phenols, cresols, and xylenols) by multiple electron acceptors. Inorganic reactions including hydrolysis, aqueous complexation, dissolution of primary minerals, formation of secondary mineral phases, and ion exchange are considered. One-dimensional (1D) and three-dimensional (3D) simulations were conducted. Mass balance calculations indicate that biodegradation in the saturated zone has degraded approximately 1-5% of the organic contaminant plume over a time period of 47 years. Simulations indicate that denitrification is the most significant degradation process, accounting for approximately 50% of the organic contaminant removal, followed by sulfate reduction and fermentation reactions, each contributing 15-20%. Aerobic respiration accounts for less than 10% of the observed contaminant removal in the saturated zone. Although concentrations of Fe(III) and Mn(IV) mineral phases are high in the aquifer sediment, reductive dissolution is limited, producing only 5% of the observed mass loss. Mass balance calculations suggest that no more than 20-25% of the observed total inorganic carbon (TIC) was generated from biodegradation reactions in the saturated zone. Simulations indicate that aerobic biodegradation in the unsaturated zone, before the contaminant entered the aquifer, may have produced the majority of the TIC observed in the plume. Because long-term degradation is limited to processes within the saturated zone, use of observed TIC concentrations to predict the future natural attenuation may overestimate contaminant degradation by a factor of 4-5.     

污染源在线监测系统（CEMS）的验收比对监测

随着节能减排的开展,各重点污染源企业,特别是SO2等标排放负荷较大的热电、钢铁等使用燃煤锅炉的企业,都按照环保局的要求安装了污染源在线监测系统CEMS。CEMS数据的可靠性、正确性、稳定性对于污染减排有着决定性作用,CEMS已成为一种最有效的定量和监控管理手段。本文介绍了CEMS系统的组成及功能,以及验收监测比对法规依据,并根据《固定污染源烟气排放连续监测技术规范》（HJ／T75—2007）（试行）和《固定污染源烟气排放连续监测系统技术要求及检测方法》（HJ／T75—2007）（试行）验收监测比对指标,简要说明了验收比对的方法并分析了在实际监测中遇到的问题,提出了需要注意的事项。     

利用Google Earth研究构造对喀斯特地貌的控制和对碳酸盐岩岩系风化成土的影响

通过互联网Google Earth欧洲卫星图像资料的观察,发现贵州喀斯特地区碳酸盐岩风化成土能力与地层岩性、构造和地貌等密切相关。二叠系生物礁石漠化显著,成土能力差;三叠系大冶组薄层灰岩成土能力高,很少有石漠化;地层倾角大的碳酸盐岩区,石漠化不显著;地层平缓的碳酸盐岩区,石漠化强或中等,碳酸盐岩风化成土能力中等。另外,大型节理带对碳酸盐岩风化成土具有明显的控制作用,节理带碳酸盐岩溶蚀相对强烈,常形成低洼地形,碳酸盐岩风化成土速率较高,红粘土堆积相对厚,不容易石漠化;而节理带间的区域往往地形较高,是石漠化易发育的区域。     

我国矿产资源开发生态补偿制度的探讨

矿产资源是经济社会可持续发展战略实施的资源保证,但长期矿产资源的开发造成我国生态破坏和环境污染,成为制约我国经济社会发展的重要因素。本文论述了我国矿产资源开发带来的生态问题,对现行生态补偿措施进行了评价,探讨了建立我国矿产资源开发生态补偿制度的基本思路,对我国矿产资源生态补偿制度的完善提出了建设性意见。     

综合类工业园环境系统动力学仿真与调控

综合类工业园由不同行业企业组成,比单一行业类工业园在经济发展和污染排放方面具有更高的多样性与复杂性。徐州经济开发区是以装备制造业、光伏产业、医药食品电子等行业组成的综合类工业园,以徐州经济开发区为例,将系统动力学应用于工业园的管理与调控研究。针对园区的人口、经济、环境三大子系统,识别内在联系做出因果反馈图,在此基础上构造综合类生态工业园的系统动力学模型。通过仿真预测园区未来的产业发展趋势,最后设计经济型、环保型、协调发展型三种方案,通过系统仿真,对徐州经济开发区的管理和建设提出建议。     

GIS技术在化学事故应急指挥系统中的应用研究

以地理信息系统（简称GIS）的技术特点为基础,结合应急指挥系统中的功能需求,探讨化学事故应急指挥系统GIS平台能够实现的功能,以及为实现这些功能而构建的数据库的建设。将GIS技术应用在化学事故应急指挥系统中,能够迅速、直观地了解事故装置和设备情况,获得有关信息,进行事故模拟。对提高事故处理速度,缩短反应时间,减少事故损失具有重要意义。     

Performance evaluation of process industries resilience: Risk-based with a network approach

Risk management can be defined as coordinated activities to conduct and control an organization with consideration of risk. Recently, risk management strategies have been developed to change the approach to hazards and risks. Resilience as a safety management theory considers the technical and social aspects of systems simultaneously. Resilience in process industries, as a socio-technical system, has four aspects of early detection, error-tolerant design, flexibility, and recoverability. Meanwhile, process industries' resilience has three phases: avoidance, survival, and recovery, determining the transition between normal state, process upset event, and catastrophic event. There may be various technical and social failures such as regulatory and human or organizational items that can lead to upset or catastrophic events. In the avoidance phase, the upset event is predicted, and thus, the system remains in a normal state. For the survival phase, the system state is assumed to be an upset process event, and the system tries to survive through the unhealthy process conditions or remains in the same state, probably with low performance. In the recovery phase, the system is supposed to be catastrophic, and the emergency barriers are prioritized to show the severity of the consequences and response time, leading to a resumption of a normal state. Therefore, a resilience-based network can be designed for process industries to show its inherent dynamic transition in nature. In this study, network data envelopment analysis (DEA), as a mathematical model, is used to evaluate the relative efficiency of the process industries regarding a network transition approach based on the system's internal structure. First, a resilience-based network is designed to consist of three states of normal, upset, and catastrophic events. Then, the efficiency of each industrial department, which is defined as decision-making units (DMUs), is evaluated using network DEA. As a case study, a refinery that is considered a critical process industry is assessed. Using the proposed model shows the efficient and inefficient DMUs in each of three states of normal, upset, and catastrophic events of the process and the projection onto efficient frontiers. Besides calculating the network efficiency, the performance of each state is extracted to precisely differentiate between DMUs. The results of this study, which is one of the fewest cases in the area of performance evaluation of process industries with a network approach, indicated a robust viewpoint for monitoring and assessment of risks.