土壤中7种重金属和砷测定的精密度控制指标研究

通过对浙江省近700组实际土壤样品进行分析,研究了土壤中铜、铅、锌、铬、镍、镉、砷、汞7种重金属和砷测定的精密度控制指标(实验室内相对偏差和实验室间相对偏差),并与行业标准分析方法和文献进行了比较,旨在为环境监测质量控制与质量保证工作提供参考。经统计分析,建议实验室内相对偏差控制指标如下:铜,≤15%;铅,≤15%;锌,≤15%;铬,≤15%;镍,≤15%;镉,≤20%;砷,≤15%;汞,≤50%。建议实验室间相对偏差控制指标如下:铜,≤25%;铅,≤25%;锌,≤20%;铬,≤20%;镍,≤25%;镉,≤35%;砷,≤25%;汞,≤55%。     

土壤及地下水有机污染的化学与生物修复

现阶段,工业的生产任务越来越繁重,因此在其进行生产的时候,制造的污染物也会越来越多。在这个对于环保极度关注的时代,本文对于被污染的土壤还有地下水实施修复展开讨论。     

不同自燃倾向性煤的指标气体产生规律实验研究

为研究不同自燃倾向性煤的自燃指标气体变化规律，提高对煤早期自燃预测预报的准确度，采用程序升温实验系统，得到内蒙古褐煤、神东长焰煤、河南气煤及枣庄焦煤4种不同变质程度煤的氧化时间随温度的变化关系，以及指标气体浓度在煤氧化过程中的变化规律。结果表明:自燃倾向性最高的褐煤应以CO和乙烯作为煤自燃早期预报的首选指标气体；易自燃的长焰煤应采用乙烯和烯烷比为主、以CO为辅的煤自燃判定指标；自燃倾向性较低的气煤应以乙烯和烯烷比作为煤自燃预报指标；CO是自燃倾向性最低的焦煤的最佳自燃预报指标气体。     

Water Management Decision Making in the Face of Multiple Forms of Uncertainty and Risk

In the Wasatch Range Metropolitan Area of Northern Utah, water management decision makers confront multiple forms of uncertainty and risk. Adapting to these uncertainties and risks is critical for maintaining the long‐term sustainability of the region's water supply. This study draws on interview data to assess the major challenges climatic and social changes pose to Utah's water future, as well as potential solutions. The study identifies the water management adaptation decision‐making space shaped by the interacting institutional, social, economic, political, and biophysical processes that enable and constrain sustainable water management. The study finds water managers and other water actors see challenges related to reallocating water, including equitable water transfers and stakeholder cooperation, addressing population growth, and locating additional water supplies, as more problematic than the challenges posed by climate change. Furthermore, there is significant disagreement between water actors over how to best adapt to both climatic and social changes. This study concludes with a discussion of the path dependencies that present challenges to adaptive water management decision making, as well as opportunities for the pursuit of a new water management paradigm based on soft‐path solutions. Such knowledge is useful for understanding the institutional and social adaptations needed for water management to successfully address future uncertainties and risks.     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.     

“一带一路”战略背景下的中国省域绿色发展:现状、问题与对策

以绿色发展推动生态文明建设将会是我国长期面临的重大课题。"一带一路"是我国新时期的对外开放国家战略,涵盖范围广泛,涉及国内18个省域和沿线65个国家,研究"一带一路"战略背景下的中国省域绿色发展,意义重大。本文通过对"一带一路"战略的基本回顾认为,建设绿色"一带一路"是促进我国经济绿色转型、消除国际社会担忧、推进战略顺利实施的必然选择。"一带一路"战略涉及国内18个省份之间的环境污染状况和绿色发展水平差异较大,东部沿海省份的经济发展水平远高于中西部省份,绿色发展水平相对领先,但同时污染物排放量也明显较大。本文进一步探讨了我国省域绿色发展过程中存在的四个问题,即中国绿色经济发展整体水平不高、地区间同质化竞争严重、污染性产业向中西部省份梯度转移、生态环境脆弱,并分别给出了相应的对策建议。     

德国铁路噪声实时监测系统研究现状

分析了德国铁路噪声在线监测的应用背景，介绍了德国铁路噪声实时监测系统的研究现状，包括测量站点的选取原则、技术结构和具体信息，列车声压级曲线时域连续变化图、单次列车通过声压级曲线图、单次列车通过参数表和等效声压级曲线图/表等测量结果的表达方法，以及无效数据的处理方式等，为我国建立铁路噪声自动监测系统提供参考。     

企业建设项目竣工环境保护自主验收工作初探

简述了企业建设项目竣工环境保护自主验收政策的出台背景,介绍了自主验收目前取得的成效。针对现阶段工作中存在的自主验收缺乏有效监管及配套的技术支撑、企业主体责任意识不强等问题,提出了完善监督管理制度、提高企业主体责任意识、加强第三方验收监测机构管理、开展验收技术培训、规范建设项目变动认定管理等建议。     

TSLCDM长袋低压脉冲布袋除尘器及其应用

为了使电炉烟气治理过程中污染源的排放达到国家排放标准,提出一种TSLCDM长袋低压脉冲除尘器(简称TSLCDM除尘器)。通过对该除尘器结构、除尘原理以及不同工况下除尘效率和过滤阻力的分析,得到该除尘器的除尘效率>99.9%,压力损失<1200 Pa,最终排出的烟气含尘质量浓度约5.54 mg/m3,满足了国家的超低排放要求,以泉州某公司电炉项目除尘系统为研究对象,证明了该新型脉冲布袋除尘器在电炉烟气治理除尘系统的应用效果,具有很好的经济和环境效益。     

氢安全研究现状及面临的挑战

氢能具有储运便捷、来源多样、洁净环保等突出优点,许多国家把发展氢能作为重要的能源战略。氢安全是氢能大规模商业化应用的重要保障。在分析国内外氢安全领域近年来最新研究进展的基础上,依次从氢泄漏与扩散、氢燃烧与爆炸、氢与金属材料相容性及氢风险评价等方面,系统总结了国内外氢安全研究面临的挑战,并对我国氢安全的发展提出了建议。