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.     

Hydromorphological and socio-cultural assessment of urban rivers to promote nature-based solutions in Jarabacoa,Dominican Republic

In Latin America and the Caribbean, river restoration projects are increasing, but many lack strategic planning and monitoring. We tested the applicability of a rapid visual social–ecological stream assessment method for restoration planning, complemented by a citizen survey on perceptions and uses of blue and green infrastructure. We applied the method at three urban streams in Jarabacoa (Dominican Republic) to identify and prioritize preferred areas for nature-based solutions. The method provides spatially explicit information for strategic river restoration planning, and its efficiency makes it suitable for use in data-poor contexts. It identifies well-preserved, moderately altered, and critically impaired areas regarding their hydromorphological and socio-cultural conditions, as well as demands on green and blue infrastructure. The transferability of the method can be improved by defining reference states for assessing the hydromorphology of tropical rivers, refining socio-cultural parameters to better address river services and widespread urban challenges, and balancing trade-offs between ecological and social restoration goals.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-021-01565-3.     

How effective are River Basin Management Plans in reaching the nutrient load reduction targets?

Riverine nutrient loads are among the major causes of eutrophication of the Baltic Sea. This study applied the Soil & Water Assessment Tool (SWAT) in three catchments flowing to the Baltic Sea, namely Vantaanjoki (Finland), Fyrisån (Sweden), and Słupia (Poland), to simulate the effectiveness of nutrient control measures included in the EU’s Water Framework Directive River Basin Management Plans (RBMPs). Moreover, we identified similar, coastal, middle-sized catchments to which conclusions from this study could be applicable. The first modelling scenario based on extrapolation of the existing trends affected the modelled nutrient loads by less than 5%. In the second scenario, measures included in RBMPs showed variable effectiveness, ranging from negligible for Słupia to 28% total P load reduction in Vantaanjoki. Adding spatially targeted measures to RBMPs (third scenario) would considerably improve their effectiveness in all three catchments for both total N and P, suggesting a need to adopt targeting more widely in the Baltic Sea countries.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01393-x) contains supplementary material, which is available to authorized users.     

疫情下医疗废物的处置现状分析

2019年新冠疫情席卷全球,在疫情环境下,医疗废物大幅增多,全国各大城市纷纷出现医疗废物处置不当的现象。本文对国内外现状分析,在认知、设施、管理和监督四个方面发现存在一定的问题,通过加强教育、加大储备、完善机制和改善监管的建议,为提升医疗废物应急处置能力提供参考。     

黄河岸边土壤中类二(口恶)英类多氯联苯污染现状及风险

研究了全黄河范围内40个国家重点控制断面岸边土壤样品中类二噁英类多氯联苯(dioxin-like polychlorinated biphenyls,DL-PCBs)的污染现状,并利用毒性当量法和健康风险评价模型定量描述黄河岸边土壤中DL-PCBs对沿岸居民的毒性风险、致癌风险和非致癌风险.结果表明,黄河岸边土壤中各采样断面岸边土壤中ΣDL-PCBs的含量(以dw计,下同)范围为:0.37~7.17 ng·g~(-1),均值为0.38 ng·g~(-1).毒性风险计算表明,黄河岸边土壤中DL-PCBs的毒性当量范围为:0.00~30.31 pg·g~(-1),均值是13.63 pg·g~(-1),基本不会对沿岸居民产生毒性风险;健康风险模型计算表明,黄河岸边土壤中DL-PCBs对儿童和成人的致癌风险、非致癌风险均未超过美国EPA规定的限值,基本不会产生明显的健康风险.相比而言,黄河中游沿岸居民更易受到DL-PCBs危害.     

长江口海域底栖生态环境质量评价——AMBI和M-AMBI法

AMBI(AZTI’s Marine Biotic Index)和M-AMBI(Multivariate-AMBI)指数可以有效地评价河口和近岸海域软底质海洋大型底栖动物群落对人为和自然扰动的响应.本研究根据2009年4月在长江口采集的大型底栖动物资料,首次在长江口海域同时运用栖息密度和生物量计算AMBI(BAMBI)和M-AMBI(M-BAMBI),对其进行底栖生态质量评价.结果表明,长江口底栖生态环境皆受到不同程度的干扰,其中受干扰最严重的区域集中在杭州湾、舟山及长江口门区附近海域,与该海域的陆源排污、富营养化以及大量的海岸工程建设等有密切的关系.单因素方差分析表明,运用栖息密度和生物量计算出的两个指数值,评价结果无明显的差异.与AMBI相比,M-AMBI与本研究生物群落结构参数以及环境因子的匹配度更高,能够更有效地评价长江口底栖生态环境质量.Pearson相关分析和一元线性回归分析表明,M-AMBI与底层水体的富营养化指数之间存在线性显著负相关关系,而与表层水体的呈非线性显著负相关;AMBI与富营养化指数之间却无显著相关关系,说明M-AMBI更适合指示长江口水域的富营养化压力.     

应用相平衡分配法建立湘江衡阳段沉积物重金属质量基准

采集湘江衡阳段29个站点的表层沉积物样品,测定沉积物中4种重金属(Cu、Pb、Zn和Cd)含量及赋存形态、以及孔隙水中重金属含量,根据相平衡分配法的基本理论,考虑参与沉积物-水相平衡分配的重金属组成,实测法计算重金属的沉积物-水相平衡分配系数(Kp),分别引用美国EPA制定保护水生生物不受重金属慢性毒性影响的基本连续浓度(CCC)和我国地表水环境质量标准(GB 3838-2002)Ⅰ类水质标准,建立两种湘江衡阳段沉积物重金属质量基准(SQC)进行对比分析,其中基于美国CCC建立的湘江衡阳段沉积物重金属质量基准与国内外研究成果相比可比性较好,4种重金属(Cu、Pb、Zn和Cd)的SQC值分别为64.62、55.57、1 360.40和2.34μg.g-1,此SQC具有保护长期生活于沉积物中的底栖生物不受重金属慢性毒性影响的意义.通过单因子评价法将湘江衡阳段沉积物中重金属总量与沉积物质量基准值(SQC)进行比较,结果表明,湘江衡阳段沉积物中Cd和Pb含量水平对底栖生物具有较大的慢性毒性影响,Cd污染不容忽视.     

干湿循环对三峡支流消落带沉积物中可转化态氮及其形态分布的影响

水体富营养化的形成与沉积物中氮素的"源-汇"关系密切,本研究选取三峡典型支流澎溪河消落带上、中、下这3个水文断面,160 m和170 m两个水位高程,0~20、20~40、40~60、60~80、80~100 cm共5个深度的沉积物样品,通过研究其总可转化态氮(TF-N)与各形态可转化态氮含量及分布特征,旨在揭示周期性水位变化对消落带沉积物氮释放的影响.结果表明,澎溪河消落带沉积物总氮含量在313.02~3 255.53 mg·kg-1之间,空间分布上呈上站位(渠口)中站位(高阳)下站位(双江)的趋势;总可转化态氮含量范围为288.54~1 123.27mg·kg-1,均值为639.40 mg·kg-1,空间分布趋势与总氮一致;TF-N中各形态氮的大小顺序为:OSF-N(有机态和硫化物结合态)IMOF-N(铁锰结合态)CF-N(碳酸盐结合态)IEF-N(离子交换态).沉积物中TF-N主要以OSF-N(50.9%)和IMOF-N(33.3%)形态存在.OSF-N很难释放,不易参与氮循环.IMOF-N受水文条件影响显著,表现为在低水位高程和下采样站位沉积物中含量更低.淹水胁迫、水体富营养化等情况下氧含量较低,相对还原条件下有利于其向水体释放.而TF-N及其形态分布在垂直深度上无显著差异.可见,三峡库区特殊调蓄水制度加速了澎溪河下游、低水位高程消落带沉积物中IMOF-N向水体的释放.     

宁波三江口水域原核生物群落结构分析

首次应用16S rRNA基因-Illumina Miseq高通量测序技术对甬江流域宁波三江口区域的表层水体原核生物群落进行了分析,共获得215 504条高质量序列.多样性指数分析表明,该流域的水体原核生物群落具有较高的遗传多样性和丰富度.菌群分类分析发现,β-变形菌纲(β-Proteobacterium)、放线菌门(Actinobacteria)和拟杆菌门(Bacteroidetes)是主要的优势菌群,其相对丰度占总群落的78.88%.对比不同站位的原核生物群落,发现水文环境可能是影响三江口水域原核生物群落组成和结构的重要因素之一.与以往报道对比分析表明,甬江流域分布有多种污水和粪便污染指示菌,其中余姚江污染指示菌的丰度最高,说明其受污染的风险可能较高.病原菌BLASTN分析表明,在种和亚种水平上,分别检出76和18种潜在病原菌,占序列总量的2.19%和0.40%.本研究为系统认识甬江流域原核生物群落结构及生态功能提供了重要基础数据.     

基于LiDAR、SRTM DEM的祁连山黑河流域十一冰川2000-2012年物质平衡估算

以祁连山黑河流域十一冰川为例,利用机载三维激光扫描数据（Light Detection And Ranging, LiDAR）和SRTM DEM数据,在LiDAR点云数据预处理、高程数据配准、校正、误差评估的基础上,建立基于大地测量法的冰川物质平衡计算流程。表明：2000-2012年十一冰川冰面高程变化为-7.47±0.92βm,变化率为-0.62±0.08 m·a^-1,估算十一冰川的年均物质平衡为 -0.53±0.07βm w.e.,累积物质平衡为-6.35±0.78βm w.e.,折合水当量约为（330.4±40.8）×10^4βm³;与其他典型监测冰川物质平衡进行对比和分析,论证了估算结果的可靠性;LiDAR数据具有非常高的精度和空间分辨率,目前关于其在冰川物质平衡研究中的应用很少,论文尝试将其应用于冰川物质平衡变化研究中,具有广阔的发展前景。