Five-wheel framework for system-based monitoring of heavy metal pollution in rivers

Sectorial approach for monitoring heavy metal pollution in rivers has failed to report realistic pollution status and associated ecological and human health risks. The increasing spread of heavy metals from different sources and emerging risks to human and environmental health call for reexamining heavy metal pollution monitoring frameworks. Also, the sources, spread, and load of heavy metals in the environment have changed significantly over time, requiring consequent modification in the monitoring frameworks. Therefore, studies on heavy metal monitoring in rivers conducted in the last decade were evaluated for experimental designs, research frameworks, and data presentations. Most studies (∼99%) (i) lacked inclusiveness of all environmental compartments; (ii) focused on “one pollutant – one/two compartment” or sometimes “one pollutant – one compartment – one effect” approach; and (iii) remained “data-rich but information poor.” An ecological approach with integrative system thinking is proposed to develop a holistic approach for monitoring river pollution. It is visualized that heavy metal monitoring, risk analyses, and water management must incorporate tracking pollutants in different environmental compartments of a river (water, sediment, and floodplain/bank soil) and consider correlating it with riverbank land use. The systems-based pollution monitoring and assessment studies will reveal the critical factors that drive heavy metals pollutant movement in ecosystems and associated potential risks to the environment, wildlife, and humans. Also, water quality and pollution indexing tools would help better communicate complex pollution data and associated risks among all stakeholders. Therefore, integrating systems approaches in scientific- and policy-based tools would help sustainably manage the health of rivers, wildlife, and humans.     

Understanding and addressing the environmental risk of microplastics

Over the past decades, the plastic production has been dramatically increased. Indeed, a category of small plastic particles mainly with the shapes of fragments, fibers, or spheres, called microplastics (particles smaller than 5 mm) and nanoplastics (particles smaller than 1 μm) have attracted particular attention. Because of its wide distribution in the environment and potential adverse effects to animal and human, microplastic pollution has been reported as a serious environment problem receiving increased attention in recent years. As one of the commonly detected emerging contaminants in the environment, recent evidence indicates that the concentration of microplastics show an increasing trend, for the reason that up to 12.7 million metric tons of plastic litter is released into aquatic environment from land-based sources each year. Furthermore, microplastic exposure levels of model organisms in laboratory studies are usually several orders of magnitude higher than those found in environment, and the microplastics exposure conditions are also different with those observed in the environment. Additionally, the detection of microplastics in feces indicates that they can be excreted out of the bodies of animal and human. Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on current studies, which might be exaggerated. Policies reduce microplastic emission sources and hence minimize their environmental risks are determined. To promote the above policies, we must first overcome the technical obstacles of detecting microplastics in various samples.     

What happened to the Second World? Earthquakes and postsocialism in Kazakhstan

There is an assumption that with the disintegration of the Soviet Union, the Second World ceased to exist. Yet the demise of the Communist bloc as a geopolitical reality did not mean that it stopped exerting a defining influence over how people think and behave. This article examines how the postsocialist state in Kazakhstan deals with potential crises such as earthquakes and the extent to which the Soviet legacy still shapes intellectual debates, state structures, and civil society organisations in in that country. Drawing on fieldwork and interviews, this paper re-examines the Second World in its historical context and re-establishes it as a conceptual framework for considering disaster risk reduction in the former Soviet bloc. It argues that it is essential to pay attention to this legacy in Kazakhstan both in policy and practice if earthquake risk reduction is to be made more effective.     

西南山地区域森林火险综合预报模型研究——以重庆市为例

森林火灾严重破坏森林生态系统的结构和功能,针对其风险预报开展研究具有重要的理论意义和应用价值。通过融合气象、地表覆盖和人类活动等要素的方式构建森林火险综合预报模型,是西南山地区域森林火险综合预报业务化应用的重要发展方向。基于《森林火险气象等级》国家标准(GB/T 36743-2018),本文研究首先构建了重庆市森林火险气象风险预报模型。然后通过融合可燃物因素和人为因素的方式,进一步构建重庆市森林火险综合预报模型。最后利用历史火点数据针对上述两类模型的精度进行对比和分析。研究结果表明:重庆市森林火灾发生次数较多,且呈现出季节性规律;重庆市森林火灾的发生不仅受到气象条件的影响,而且受到地表覆盖和人类活动等多种要素条件的共同影响;与森林火险气象风险预报结果相比,森林火险综合预报结果在空间分布上具有更高的精细程度;森林火险综合预报模型能有效提高森林火险等级预报精度。     

建筑安全风险因素分级排序的风险矩阵法

为减少风险分级排序时产生的风险结,在引入施工安全事故频率的基础上,采用单元格细化和Borda序值法改进原有的风险矩阵法。改进后的方法使得风险等级数量增加,风险结数量减少。将该方法应用于脚手架工程的风险因素的分级与排序,风险等级分为6级,且实现了12个因素的明确排序。     

新型冠状病毒肺炎疫情期间企业生产安全风险管理

本文在分析新型冠状病毒肺炎疫情期间企业安全风险特点的基础上,建立了疫情期间安全风险管理模型,分析了这一特殊时期企业外部变化,以及企业内部人、物、环境、管理变化带来特殊安全风险,提出了针对性的风险管控措施。     

基于Tripod-Beta模型的船舶火灾事故风险分析

为深入分析船舶火灾事故风险因素及其后果产生的影响,通过分析1991-2017年全球船舶火灾事故调查报告,从人员、管理、船舶设备、货物、环境5个方面对船舶火灾影响因素进行识别研究;采用三脚架事故致因模型(Tripod-Beta model),构建考虑安全栅的船舶火灾事故情景演化模型,识别船舶火灾关键影响因素;并在样本量较少的情况下,采用信息扩散理论计算船舶火灾发生率;最后,利用布尔函数和风险矩阵,对船舶火灾事故风险进行评价研究。结果表明:船员不安全行为和船舶设备表面过热、设备短路是船舶火灾事故的关键风险因素;事故后果链中安全栅遭到破坏时,船舶火灾风险处于不希望发生范围内。该方法能有效评估船舶火灾风险的等级,满足海事管理部门的监管工作需求。     

Should all disaster risks be reduced? A perspective from the systems concept of the edge of chaos

The field of disaster risk reduction (DRR) has risen to prominence since the declaration of the International Decade of Disaster Risk Reduction between 1990 and 2000. This decade provided the impetus for a change from the predominant paradigm of disaster response to that of disaster risk reduction as a means of addressing the underlying drivers that lead to disasters. In an effort to promote risk reduction, the UNISDR (the principal agency for disaster risk reduction within the UN structure) formulated policies and strategies to provide both conceptual and practical guidance as to how risk should be reduced. However noble the efforts, this paper contends that the current approach to and understanding of risk within the international community might not be cognisant of complex adaptive systems (CAS) concepts such as the edge of chaos. Specifically, this concept argues that risk (or chaos) within a system is actually a fundamental requirement to the functioning of all resilient socio-ecological systems. Therefore, the reduction of risk without an understanding of the role of that risk within the larger socio-ecological system might actually end up reducing the system’s overall level of disaster resilience. This paper aims to explore the concept of edge of chaos through a literature review of key theoretical works on the topic, followed by a discussion on its implications for the predominant paradigm of risk reduction within disaster risk management policy and practice.     

重大基坑坍塌事故虚拟仿真系统研究

为预防基坑坍塌事故发生、进行重大事故警示教育，以杭州地铁湘湖站北2基坑坍塌事故为素材，研究构建重大基坑坍塌事故虚拟仿真培训系统。对案例事故涉及的设计、施工、环境三大因素的技术问题进行总结，研究了事故链各致险因素及对推动事故发生所起作用，完成仿真系统平台设计和开发工作。系统应用多种制作技术创建工程场景模型，展示深基坑工程复杂的施工工序和空间关系，再现基坑坍塌事故发生发展过程和贴近实际的灾难场景。研究结果表明:仿真系统成果可丰富地下工程教学、施工现场安全教育和安全监察培训的内容和形式。