高温环境下薄壁结构声疲劳失效验证技术研究

目的针对高温环境下薄壁结构声疲劳失效问题,研究分析薄壁结构在高温环境下的声疲劳失效特征,验证薄壁结构热声响应计算方法与疲劳寿命预估模型的有效性。方法较系统地阐述高温环境下薄壁结构声疲劳失效试验验证技术,重点总结热声疲劳试验环境建立与加载、高温环境下噪声测试、高温环境下动态响应测试和疲劳破坏寿命测试方法,并通过具体案例说明工程中试验验证方法的有效性。结果试验件在仿真计算与试验中的破坏位置一致,响应频率吻合较好,应力水平一致,疲劳寿命量级相当。结论薄壁结构热声响应计算方法与疲劳寿命预估模型的有效性高。     

土壤重金属监测过程及其质量控制

重点探讨了土壤中典型重金属含量监测过程中样品制备、含水率、预处理等因素对分析结果的影响。实验结果表明,充分风干土壤的含水率在2%～3%左右,200目土壤颗粒度可满足分析精度的要求。硝酸-氢氟酸-高氯酸的多元混酸消解体系可实现对土壤重金属的充分溶解,对标准土壤样品中各元素的回收率可达84%～98%。批次内平行样品以及批次间质控样品各元素的相对标准偏差大都小于10%,符合《土壤环境监测技术规范》的要求,表明该研究建立的系统土壤重金属检测方法结果准确可靠。     

农村环境质量综合评价技术体系区域适用性验证

长期以来,中国农村环境保护工作基础相对薄弱,国家环保部门于2014年出台《农村环境质量综合评价技术规定(试行)》。研究利用2015—2016年安徽省域的农村环境监测数据,将安徽省重点生态功能区考核县域的数据与其他县域监测数据进行分类整理,采用该技术规定开展农村环境质量综合评价,对评价体系的3个级别指标层面的评价结果进行对比,并通过2组数据的差异性分析,深度剖析评价体系各级指数的结果合理性,验证该评价技术规定的区域适用性;同时,根据各级指标对比中发现的问题,对评价体系的相关指标提出修改完善建议。     

《巴黎协定》后的气候资金测量、报告和核证体系构建研究

气候资金测量、报告和核证产生于《联合国气候变化框架公约》(简称《公约》)之下,2009年以来一直是全球气候谈判的重点之一,也是未来全球共同应对气候变化和不断增进国际信任的重要环节。《巴黎协定》达成的"每两年通报"的决定,将推动气候资金测量、报告和核证得到不断的加强和完善。本文通过梳理最新的气候资金机制以及测量、报告和核证的文献资料和智库报告,分析了气候资金测量、报告和核证的内涵、目标和最新进展,以及公约框架下面临的挑战。分析指出,目前不同的气候资金统计和核算机构的资金分类标准存在差异,数据可比性有待改善;缺乏从资金上游到下游的反馈机制,影响气候资金测量、报告和核证体系的完整性;气候资金计量体系虽然正在发展和完善之中,但仍然难以提供准确的资金"支付"数据。据此,文章提出了构建综合性的国际气候资金测量、报告和核证体系的重点任务:建立具有统一数据基础和核算口径的气候资金测量体系,建立操作指南更为详细、形式更为标准统一的气候资金报告体系,以及"自上而下"和"自下而上"相结合的气候资金核证机制。最后,文章指出国际气候资金测量、报告和核证体系的构建需要发达国家和发展中国家在坚持公约资金机制的基础上共同参与和协作。作为国际上少数几个向GEF捐资的发展中国家之一,中国在参与过程中应力争体现发展中国家对气候资金性质的主张以及对测量、报告和核证机制的关键概念和范围界定的主张,影响国际气候资金机制的运营规则和技术规则。     

Cost effective alternative in meeting the required Safety Integrity Level (SIL)

Demonstrating process safety has always been one of the paramount concerns of Engineering, Procurement, and Construction (EPC) companies in the industrial sector, especially with the development of stringent standards such as IEC-61508 and IEC-61511. One of the means of process safety demonstration is through Safety Integrity Level (SIL) Verification. In some cases, SIL verification results show that several Safety Instrumented Functions (SIFs) do not meet their required SIL; and one of the actions is to add new SIF components. However, with the addition of new components comes a change order, which eventually leads to added cost and time overruns for design and construction projects; and in some instances, introduces additional risks to the system. This paper presents a case study based on the SIL verification report of a design and construction project. The scenario of interest involves the over-pressurization in the High Pressure (HP) Flare Knock-Out (KO) Drum which activates a SIF that will close two Shutdown Valves (SDVs), preventing added pressure to be delivered to the KO Drum. Seeing as two SDVs in a 2oo2 configuration need to be closed, the SIF was not able to meet its target failure measure of SIL 2. Three cases were set, in order to meet the required SIL. The first one involves adding new SDVs; the second case made use of upstream existing SDVs, while the third one is similar with the second but differs in configuration of the SDVs. SIL verification was performed for all three cases through the Fault Tree Analysis modeling technique. Results of this study suggest that using existing instruments can be a cost effective way of meeting the required SIL, which eliminates all the hassle and potential risk introduced when bringing in new instruments to the design.     

江苏省上市公司环保核查工作的思考

上市环保核查是环境保护部门为规范和促进持续改善上市企业的环境行为、避免因环境污染问题损害投资者利益的一项环境保护管理程序。开展上市企业环保核查,可提升企业环境管理水平,同时倒逼企业加强污染治理、推进环保管理。然而,在上市环保核查工作的开展过程中仍存在不足之处。本文就不足之处提出了相应的对策措施与建议,进而优化完善上市环保核查制度,增强上市企业环保核查的成效。     

现场监测数据审核方法及异常数据的判别研究

现场监测数据审核是整个环境监测质量管理中的重要一环,关系到监测数据的真实、公正、有效.现场监测原始记录准确完整的填写是数据审核的前提条件,文章论述了原始记录的填写要求及填写方法.针对审核过程中遇到异常数据的具体问题加以判别,分析原始记录的完整性、计算公式的准确性在现场监测数据审核工作中的作用.结合实际工作,通过对环境监测数据相关性、逻辑性进行研究,分析了现场监测数据审核过程中应注意的问题及异常数据的产生原因,并提出了相应的解决方法.     

基于GM(1,1)模型的铁路行车事故预测

铁路行车事故的发生具有偶然性 ,但可利用预测理论的方法加以预测。笔者简述了灰色理论中GM(1,1)预测模型的建模过程和精度检验的方法及步骤 ,在某铁路分局 1995～ 2 0 0 2年间的铁路行车事故统计的基础上 ,应用GM(1,1)预测模型预测了该铁路分局 2 0 0 4年的铁路行车事故发生趋势 ,经精度检验表明 ,模型的精度等级合格 ,其预测结果为铁路行车事故的防范和降低事故损失提供了指导和科学依据。     

The National Vegetation Classification Standard applied to the remote sensing classification of two semiarid environments

The National Vegetation Classification Standard (NVCS) was implemented at two US National Park Service (NPS) sites in Texas, the Padre Island National Seashore (PINS) and the Lake Meredith National Recreation Area (LMNRA), to provide information for NPS oil and gas management plans. Because NVCS landcover classifications did not exist for these two areas prior to this study, we created landcover classes, through intensive ground and aerial reconnaissance, that characterized the general landscape features and at the same time complied with NVCS guidelines. The created landcover classes were useful for the resource management and were conducive to classification with optical remote sensing systems, such as the Landsat Thematic Mapper (TM). In the LMNRA, topographic elevation data were added to the TM data to reduce confusion between cliff, high plains, and forest classes. Classification accuracies (kappa statistics) of 89.9% (0.89) and 88.2% (0.87) in PINS and LMNRA, respectively, verified that the two NPS landholdings were adequately mapped with TM data. Improved sensor systems with higher spectral and spatial resolutions will ultimately refine the broad classes defined in this classification; however, the landcover classifications created in this study have already provided valuable information for the management of both NPS lands. Habitat information provided by the classifications has aided in the placement of inventory and monitoring plots, has assisted oil and gas operators by providing information on sensitive habitats, and has allowed park managers to better use resources when fighting wildland fires and in protecting visitors and the infrastructure of NPS lands.     

HYDROLOGIC MODELING OF TWO GLACIATED WATERSHEDS IN NORTHEAST PENNSYLVANIA1

ABSTRACT: A hydrologic modeling study, using the Hydrologic Simulation Program - FORTRAN (HSPF), was conducted in two glaciated watersheds, Purdy Creek and Ariel Creek in northeastern Pennsylvania. Both watersheds have wetlands and poorly drained soils due to low hydraulic conductivity and presence of fragipans. The HSPF model was calibrated in the Purdy Creek watershed and verified in the Ariel Creek watershed for June 1992 to December 1993 period. In Purdy Creek, the total volume of observed stream-flow during the entire simulation period was 13.36 × 10⁶ m³ and the simulated streamflow volume was 13.82 × 10⁶ m³ (5 percent difference). For the verification simulation in Ariel Creek, the difference between the total observed and simulated flow volumes was 17 percent. Simulated peak flow discharges were within two hours of the observed for 30 of 46 peak flow events (discharge greater than 0.1 m³/sec) in Purdy Creek and 27 of 53 events in Ariel Creek. For 22 of the 46 events in Purdy Creek and 24 of 53 in Ariel Creek, the differences between the observed and simulated peak discharge rates were less than 30 percent. These 22 events accounted for 63 percent of total volume of streamflow observed during the selected 46 peak flow events in Purdy Creek. In Ariel Creek, these 24 peak flow events accounted for 62 percent of the total flow observed during all peak flow events. Differences in observed and simulated peak flow rates and volumes (on a percent basis) were greater during the snowmelt runoff events and summer periods than for other times.