地表水环境遥感监测关键技术与系统

本文主要是围绕地表水环境遥感检测展开讨论,全面介绍了水环境检测的关键技术和系统,建立改进双峰法的水体分布遥感提取方法,并以具体地区为例进行分析,采用不同方法建立解析方法,从根本上提升反演方法的区域和积极适用性,希望能够对相关人员起到参考性价值。     

System dynamics research of non-adaptive evacuation psychology in toxic gas leakage emergencies of chemical park

Chemical industry park plays an important role in optimizing the allocation of resources, but an emergency may make a great deal of personnel casualty and property loss. Many casualties are not the result of accidents but are caused by extreme behavior because of the non-adaptive psychology of the evacuees. Panic is one of the non-adaptive psychological behaviors during an evacuation, which is influenced by a variety of factors. Based on the consideration of the disaster environment and the evolution of crowd emotion, a system dynamics model of panic spread is established by using Anylogic software, and simulation experiments are carried out for different disaster severity, visibility, and groups. The results show that the number of people with severe panic increase when visibility decreases or disaster diffuses. Besides, the appropriate proportion of groups can effectively reduce the cooling time of crowd and ease the fears. However, continue to increase the number of groups has no significant effect on the panic control. This work can provide some reasonable guidance for regional emergency evacuation in chemical park.     

基于物联网与GIS的环境质量管理信息系统设计

设计了一种基于物联网与GIS技术的环境质量管理信息系统,系统以GIS为主干,辅以物联网技术,将GPS定位模块集成到RFID中,实现数据的快速采集与空间定位。该系统可以充分发挥物联网无线识别与地理信息系统空间数据表达分析能力强的优势,更好地为环境质量管理提供决策支持。     

GB/T 28001-2011标准术语和定义的认知

对GB／T28000《职业健康安全管理体系》系列国家标准的术语和定义进行了对比分析。     

异构环保信息资源整合及归档系统的开发与应用

随着环保信息资源的不断丰富,不同应用系统生成的各种异构数据日益增多,信息孤岛现象十分严重。异构环保信息资源整合及归档系统将分散的信息系统进行有效整合,在异构平台上实现了信息收集、流转及共享利用,全面提升了环保档案的信息化建设水平,为新时期下环保档案信息管理工作提供了一条新途径。     

浑河沈阳段“十一五”期间水体构成及污染来源分析

介绍了浑河沈阳段"十一五"期间水体的构成,分析了其支流水质状况以及浑河沈阳段主要污染来源。结果表明,支流河是浑河补水的主要来源,污水处理厂尾水已成为支流河和浑河干流的主要补水来源,其中上游径流38%,污水厂排水8%及细河、蒲河、满堂河和白塔保河等5条支流河补水54%;浑河沈阳段污染源数量最多的是农业源,占浑河流域沈阳段污染源的55.33%;其次是生活源,占浑河流域沈阳段污染源的26.19%;再次是工业源,占浑河流域沈阳段污染源的18.43%;最少的是集中式污染治理设施,占浑河流域沈阳段污染源的0.05%。     

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.     

亚运时段广州大气污染物来源数值模拟研究

利用嵌套网格空气质量预报模式系统(Nested Air Quality Prediction Model System,NAQPMS)研究2006年亚运时段广州的空气质量状况,同时结合污染源追踪方法,分析珠三角各城市的源排放对广州全市、广州二环以内市区、广州6个亚运加强观测站的污染物浓度贡献.结果表明,NAQPMS模式能较好地反映广州各污染物(NO2、SO2、PM10)浓度的变化;广州全市、广州市区、6个亚运加强观测站的污染物最主要来源于本地排放,而周边城市以东莞的贡献最大.3个源受体中,广州市区受本地排放的影响最显著,来自本地的NO2、SO2、PM10的月均贡献率分别为89.5%、75.4%、86.7%;东莞则对6个亚运加强观测站的影响最为突出,其NO2、SO2、PM10的月均贡献率达9.3%、23.8%、21.7%,而日最大贡献率高达19.3%、40.2%、48.7%.因此在大力削减广州本地污染排放的同时,对周边城市特别是东莞实施区域联防联控,将能有效改善亚运场馆附近的空气质量.     

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。