21世纪中国城市环境地质问题

从全球环境的角度对中国城市的环境地质问题进行了研究.文中分析了当今全球主要环境问题,探讨了全球环境变异对中国城市地质环境的影响,详细研究了现代城市工程经济建设中引起的环境工程地质问题.     

环境内分泌干扰物的作用机理及其生物检测方法

环境污染物的内分泌干扰问题近年来引起了极大的关注,大量研究工作集中于对环境内分泌干扰物的作用机理及其生物检测方法的研究。在总结国内外相关研究的基础上,对环境内分泌干扰物的类型及其主要作用机理进行了概括总结;对环境内分泌干扰物的体外生物检测方法的最新研究进展给予了评述;并对环境内分泌干扰物检测技术在环境中的应用进行了探讨;指出有关环境内分泌干扰物作用机理研究的成果能直接导致新的生物检测方法的发展,丰富了环境内分泌干扰物的检测技术类型。     

柴油发电机环境低频噪声影响防治初探

以设在民用住宅里的柴油发电机环境低频噪声对环境的影响为研究对象,就柴油发电机环境低频噪声对环境敏感点的影响进行监测,了解民用住宅里的柴油发电机环境噪声对环境的影响水平,参照我国的国家标准作环境影响评价,探讨民用住宅里的柴油发电机环境低频噪声对环境的污染防治对策.     

岩溶环境对多环芳烃迁移转化的影响

从水文地质条件、地貌环境和地球化学环境等3个方面,综述了岩溶环境对多环芳烃(PAHs)迁移转化的影响。针对研究现状及存在的不足,提出了未来可能的研究趋势,包括不同气候条件下发育的岩溶系统的对比研究、不同气候条件和不同岩溶系统快速流和慢速流对PAHs迁移的贡献、碳酸盐岩与PAHs相互作用的机理,以及有机质对PAHs迁移行为的影响。     

ICP－AES光谱法同时测定团体废物浸出液中的多种金属元素

采用翻转振荡方式以水为浸提剂浸提钢渣、尾矿渣、铬渣、铅渣、粉煤灰和电镀污泥试样，过滤后的浸提液经ＤＤＴＣ／ＣＣｌ４体系萃取富集后，用ＩＣＰ－ＡＥＳ法同时测定了Ｃｕ、Ｐｂ、Ｚｎ、Ｃｄ、Ｎｉ、Ｆｅ、Ｍｎ、Ｃｏ和Ｖ等多种金属元素．方法具有较好的精密度和准确度，宜于推广应用。     

环境中药品和个人护理品的复合污染风险

在环境中污染物常以混合物的形式存在,从而扩大或减小了其对环境和生物的效应。指出目前对药品和个人护理品(PPCPs)环境健康风险的研究多停留在单一物质表观层面,造成其风险值出现偏差。系统分析了PPCPs与有机和无机污染物之间的复合污染,提出加强复合污染毒性风险及致毒机理等方面的研究,为有效降低环境水体中PPCPs潜在的安全风险提供理论支持。     

有机污染物环境逸度模型构建及软件化

目前研究人员已经可以通过建立模型来评估有机物的环境风险并研究其在多介质环境中的迁移与转化。针对多介质逸度模型中的参数繁多,不利于研究人员模拟有机污染物的归趋状况的问题,现基于Ⅲ级多介质环境逸度模型,采用Python编程语言进行软件设计,完成有机物在环境各介质中的分布模拟功能,并在此基础上集成参数灵敏度和模型不确定度分析功能,且对用户提供了友好的图形界面。以北京地区地表水环境中的药物和个人护理品（PPCPs）为例,研究结果表明该软件得到的模拟值与实测值有较好的吻合度,可为有机物的区域环境污染和风险评估提供参考。     

城市环境中磁学响应的研究进展

利用磁学方法研究城市环境中重金属元素的污染受到普遍关注和重视。比较系统地探讨了城市环境中磁性矿物的来源和特征,阐述了城市环境磁学的研究内容,探讨了城市磁学研究的发展趋势,强调了运用简便、经济的磁学方法研究城市环境中重金属等污染物是今后环境磁学的一个重要的发展方向。     

持久性有机污染物(续完)

持久性有机污染物的环境化学和生态毒理学是目前环境研究最活跃的领域之一。本文综述了持久性有机污染物的成分特性、对生物群的毒理效应、环境污染源、环境分析、环境行为、食物链传播、地区性或全球性的污染传输等问题。同时提出了对目前和将来持久性有机污染物研究的一些浅见。     

环境污染物计算毒理学分析及环境行为模拟研究进展

根据国内外研究报道,系统地总结了计算毒理学和化合物环境行为模拟在环境科学领域的研究进展,包括二者的概念、理论、研究方法以及在环境研究中的应用;分析了计算毒理学和化合物环境行为模拟在发展中所面临的挑战,并提出对策;展望了计算毒理学和化合物环境行为模拟在环境研究中的发展前景。     

铬渣污染场地修复技术研究进展

铬渣对中国地下水、地表水和土壤造成了严重污染,并对生态环境和人体健康构成了巨大威胁。开展对铬渣污染场地的修复工作已迫在眉睫。在分析铬污染特性的基础上,阐述了国内外最新铬污染场地修复技术研究动态,并概括分析了其不足与未来铬渣污染场地修复技术的发展趋势。     

A comprehensive physico-chemical, mineralogical and morphological characterization of Indian mineral wastes

This paper provides a comprehensive characterization of mineral waste such as fly ash, bottom ash, slag and construction demolition (C&D) collected from four different thermal power plants, three steel plants and three C&D waste generation sites in India. To determine utilisation potential and environmental concerns, as received fly ash, bottom ash, slag and C&D waste were analysed for physico-chemical, mineralogical and morphological properties. The physico-chemical properties analysed include pH, moisture content, acid insoluble residue, loss on ignition(LOI), carbon content, fineness, chloride content, sulphate content, reactive silica content, XRF and heavy metal analysis. Morphological and mineralogical characteristics were investigated using scanning electron microscopy–energy dispersive X-ray. Particle size distribution was obtained using particle size analyser. The material analysed has different compositions and were selected with a view to determine their suitability for different applications in cement and concrete industry and for further research studies.     

Chemical composition of individual aerosol particles in workplace air during production of manganese alloys

Aerosol particle samples were collected at ELKEM ASA ferromanganese (FeMn) and silicomanganese (SiMn) smelters at Porsgrunn, Norway, during different production steps: raw material mixing, welding of protective steel casings, tapping of FeMn and slag, crane operation moving the ladles with molten metal, operation of the Metal Oxygen Refinement (MOR) reactor and casting of SiMn. Aerosol fractions were assessed for the analysis of the bulk elemental composition as well as for individual particle analysis. The bulk elemental composition was determined by inductively coupled plasma atomic emission spectrometry. For individual particle analysis, an electron microprobe was used in combination with wavelength-dispersive techniques. Most particles show a complex composition and cannot be attributed to a single phase. Therefore, the particles were divided into six groups according to their chemical composition: Group I, particles containing mainly metallic Fe and/or Mn; Group II, slag particles containing mainly Fe and/or Mn oxides; Group III, slag particles consisting predominantly of oxidized flux components such as Si, Al, Mg, Ca, Na and K; Group IV, particles consisting mainly of carbon; Group V, mixtures of particles from Groups II, III and IV; Group VI, mixtures of particles from Groups II and III. In raw material mixing, particles originating from the Mn ores were mostly found. In the welding of steel casings, most particles were assigned to Group II, Mn and Fe oxides. During the tapping of slag and metal, mostly slag particles from Group III were found (oxides of the flux components). During movement of the ladles, most particles came from Group II. At the MOR reactor, most of the particles belonged to the slag phase consisting of the flux components (Group III). The particles collected during the casting of SiMn were mainly attributed to the slag phase (Groups III and V). Due to the compositional complexity of the particles, toxicological investigations on the kinetics of pure compounds may not be easily associated with the results of this study.     

宁东能源化工基地固体废物中汞含量分布及对环境影响

通过分析宁东能源化工基地各大燃煤电厂以及煤化工厂固体废物样品,研究了固体废物中的汞分布规律及环境影响。结果表明:汞易在脱硫石膏、粉煤灰和气化粗渣中富集,汞浓度分别为0.16、0.24、0.15 mg/kg,而炉渣和气化细渣中的汞含量则相对较低,分别为0.05、0.03 mg/kg。通过化学组成及汞含量数据分析发现,出现这种情况的原因与汞本身易挥发的性质和固体废物的物化性质有关。此外,通过固体废物浸出毒性实验发现,脱硫石膏、粉煤灰、气化粗渣的浸出汞浓度小于浓度限值(0.1 mg/L),而气化细渣因锅炉回用,不参与填埋,汞又不易在炉渣中富集,故总体上宁东能源化工基地的固体废物无汞环境污染倾向。     

Health,safety, and environmental risk assessment of steel production complex in central Iran using TOPSIS

This research was carried out with the aim of presenting an environmental management plan for steel production complex (SPC) in central Iran. Following precise identification of the plant activities as well as the study area, possible sources of environmental pollution and adverse impacts on the air quality, water, soil, biological environment, socioeconomic and cultural environment, and health and safety of the employees were determined considering the work processes of the steel complex. Afterwards, noise, wastewater, and air pollution sources were measured. Subsequently, factors polluting the steel complex were identified by TOPSIS and then prioritized using Excel Software. Based on the obtained results, the operation of the furnaces in hot rolling process with the score 1, effluent derived from hot rolling process with the score 0.565, nonprincipal disposal and dumping of waste at the plant enclosure with the score 0.335, walking beam process with the score 1.483 respectively allocated themselves the highest priority in terms of air, water, soil and noise pollution. In terms of habitats, land cover and socioeconomic and cultural environment, closeness to the forest area and the existence of four groups of wildlife with the score 1.106 and proximity of villages and residential areas to the plant with the score 3.771 respectively enjoyed the highest priorities while impressibility and occupational accidents with the score 2.725 and cutting and welding operations with score 2.134 had the highest priority among health and safety criteria. Finally, strategies for the control of pollution sources were identified and Training, Monitoring and environmental management plan of the SPC was prepared.     

Health,safety and environmental unit performance assessment model under uncertainty (case study: steel industry)

Performance assessment is a critical objective of management systems. As a result of the non-deterministic and qualitative nature of performance indicators, assessments are likely to be influenced by evaluators’ personal judgments. Furthermore, in developing countries, performance assessments by the Health, Safety and Environment (HSE) department are based solely on the number of accidents. A questionnaire is used to conduct the study in one of the largest steel production companies in Iran. With respect to health, safety, and environment, the results revealed that control of disease, fire hazards, and air pollution are of paramount importance, with coefficients of 0.057, 0.062, and 0.054, respectively. Furthermore, health and environment indicators were found to be the most common causes of poor performance. Finally, it was shown that HSE management systems can affect the majority of performance safety indicators in the short run, whereas health and environment indicators require longer periods of time. The objective of this study is to present an HSE-MS unit performance assessment model in steel industries. Moreover, we seek to answer the following question: what are the factors that affect HSE unit system in the steel industry? Also, for each factor, the extent of impact on the performance of the HSE management system in the organization is determined.     

Toxic metals status in kidneys and gallstones of workers in a steel plant environment

Samples of kidney stones and gallstones obtained from patients who were workers at a steel plant, or residents of the steel plant township area and those unrelated to the steel plant and steel plant township area were analysed for the presence of toxic metals (Zn, Cr, Ni, Co, Cu, Pb, Hg, Cd and Mn) by atomic absorption spectrophotometry. Other constituents (moisture, organic matter, oxalate, phosphate, fluoride and calcium) were also determined in each sample. In most of the samples the highest occurrence of toxic metals was found in the samples obtained from workers of the steel plant who were also residents of the steel plant township area. In samples obtained from patients who were non-workers of the plant but residents of the steel plant township area, the concentrations of the toxic metals were smaller, but higher than in those cases who were unrelated to the steel plant environment.     

Spatial distribution and source identification of trace elements in topsoil from heavily industrialized region,Aliaga, Turkey

Topsoil samples (n?=?40) were collected from a heavily industrialized region in Turkey. The region includes several scrap processing iron–steel plants with electric arc furnaces (EAFs), a petroleum refinery, a petrochemical complex, steel rolling mills, a natural gas-fired power plant, ship-breaking yards and very dense transportation activities. The region has undergone a rapid transition from an agricultural region to a heavily industrialized region in the last three decades. Collected soil samples were analyzed for 48 trace elements using inductively coupled plasma-mass spectrometry (ICP-MS). The elemental distribution pattern in the region indicated that Nemrut area with dense iron–steel production activities was a hotspot for elemental pollution. In addition to crustal elements, concentrations of anthropogenic trace elements (i.e., Fe, Zn, Pb, Mn, Cu, Cd, Cr and Mo) were very high in the area influencing many parts of the region. Elemental compositions of fugitive sources polluting the soil (i.e., paved and unpaved roads, slag piles, EAFs filter dust piles and coal piles) were also determined. The methods (enrichment factors [EFs] and the index of geoaccumulation [I _geo]) used for determination of pollution status of soil showed that Cr, Ag, Zn, As and Pb were the strongly contaminating elements for the region. Principal component analysis (PCA) clearly indicated that anthropogenic sources (steel production, refinery and petrochemical processes and traffic) were important sources in this region.     

恒电流库仑滴定法测定铬渣中的铬（Ⅵ）

铬渣样品以（１＋１０）磷酸溶液加热消解１．５ｈ,可得到完全澄清的消解液。采用恒电流库仓滴定法测定消解液中的Ｃｒ（Ⅵ）,测得值（１．６４％）与标样参考值（１．７％）接近,准确度高,相对标准偏差为０．９８％。适于铬渣中Ｃｒ（Ⅵ）的日常监测。     

State of the marine environment at Little Bay Arm,Newfoundland and Labrador,Canada, 10 years after a "do nothing" response to a mine tailings spill

In 1989, the tailings pond dam at the site of a former copper mine near Little Bay, Newfoundland and Labrador, Canada, ruptured and tailings spilled into Little Bay Arm. At the time, no action was taken to arrest the flow of tailings or to mitigate the effects of the spill. To date, no action has been taken to repair the dam and tailings continue to flow into Little Bay Arm. As a result, the marine environment around Little Bay Arm has become contaminated with heavy metals from the tailings. However, the tailings are not the only source of heavy metals to the ecosystem. An old slag heap and what is presumably concentrated copper ore spilled during the loading of ore freighters, are also contributing to the ecosystem's metal load. Marine sediment throughout the Arm contained elevated concentrations of Cu, Ni, Zn, As, V, Co, and Mn. Beach material also contained elevated concentrations of metals with material near the slag heap being the most contaminated. At this site, Cu concentrations were in excess of 5000 mg kg(-1) dry weight, Zn greater than 3000 mg kg(-1) and Co concentrations exceeded 700 mg kg(-1). The highest concentrations of metals in biota were found near the slag heap, near the tailings dam breach, and at the site of the former concentrate loading dock. Despite elevated metal concentrations, the tailings and nearby sediment were not devoid of life. Bivalves and seaweed were abundant in the area and there were no obvious signs of tissue damage or disease in soft shell clams (Mya arenaria) living in the tailings. These clams may be suffering from chronic exposure to the tailings, however, evidence of lipid peroxidation in the clams was inconclusive.