A transportation network assessment tool for hazardous material cargo routing: Weighing exposure health risks,proximity to vulnerable areas,delay costs and trucking expenses

The inherent risks associated with accidental releases of hazardous materials during transport have drawn attention and concerns in the recent decades. The aim of this study is to propose a tool for evaluation and comparison of the transportation networks which can be used to assess the routing options between origins and destinations of the cargos for their suitability for transporting hazardous material cargos by tanker trucks and to identify routes which provide lower accidental release risks, lower public exposure risks, and offer economical benefits. Each route segment of transportation networks were evaluated using specific criteria which included health risk and cost of delay in case of an accidental release of materials, trucking cost and proximity to vulnerable areas. Since, the health impact of hazardous materials differ depending on the characteristics of the material being transported as well as release quantities and atmospheric conditions; this paper aimed in providing a tool that can be used to estimate the impact radius (for health risks) after accidental release of hazardous materials by taking into account different atmospheric conditions based on the meteorological data and solar elevation angle. The Gaussian air dispersion model paired with ArcGIS using Python programming were employed to estimate the health risk impact zones by considering the meteorological data, and accordingly to analyze road segments for cost impacts (delay and trucking costs), and the proximity to vulnerable areas. The route assessment tool was demonstrated with a case study. The results of this study can efficiently aid decision makers for transportation of hazardous materials.     

How certain are we about the certainty-equivalent long term social discount rate?

Theoretical arguments for using a term structure of social discount rates (SDR) that declines with the time horizon have influenced government guidelines in the US and Europe. The certainty equivalent discount rate that often underpins this guidance embodies uncertainty in the primitives of the SDR, such as growth. For distant time horizons the probability distributions of these primitives are ambiguous and the certainty equivalent itself is uncertain. Yet, if a limited set of characteristics of the unknown probability distributions can be agreed upon, ‘sharp’ upper and lower bounds can be defined for the certainty-equivalent SDR. Unfortunately, even with considerable agreement on these features, these bounds are widely spread for horizons beyond 75 years. So while estimates of the present value of intergenerational impacts, including the social cost of carbon, can be bounded in the presence of this ambiguity, they typically remain so imprecise as to provide little practical guidance.     

Plant blindness and the implications for plant conservation

Plant conservation initiatives lag behind and receive considerably less funding than animal conservation projects. We explored a potential reason for this bias: a tendency among humans to neither notice nor value plants in the environment. Experimental research and surveys have demonstrated higher preference for, superior recall of, and better visual detection of animals compared with plants. This bias has been attributed to perceptual factors such as lack of motion by plants and the tendency of plants to visually blend together but also to cultural factors such as a greater focus on animals in formal biological education. In contrast, ethnographic research reveals that many social groups have strong bonds with plants, including nonhierarchical kinship relationships. We argue that plant blindness is common, but not inevitable. If immersed in a plant‐affiliated culture, the individual will experience language and practices that enhance capacity to detect, recall, and value plants, something less likely to occur in zoocentric societies. Therefore, conservation programs can contribute to reducing this bias. We considered strategies that might reduce this bias and encourage plant conservation behavior. Psychological research demonstrates that people are more likely to support conservation of species that have human‐like characteristics and that support for conservation can be increased by encouraging people to practice empathy and anthropomorphism of nonhuman species. We argue that support for plant conservation may be garnered through strategies that promote identification and empathy with plants.     

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。     

分光光度法中不同光程长度比色皿间关系验证

参照《纳氏试剂分光光度法》的方法原理,用分光光度计对3种光程长度比色皿分别进行比色,探讨不同光程长度比色皿间关系。     

城市污水生物脱氮除磷的新理论与技术

评述了近年来城市污水生物脱氮除磷理论和功能微生物的研究进展,重点介绍了生物处理的新方法：短程硝化反硝化处理法、厌氧氨氧化处理法、同步硝化反硝化处理法、同步反硝化除磷脱氮法,并总结了各处理工艺的应用状况。对生物脱氮除磷微生物学和新的理论技术发展趋势做出了展望。     

辽河流域水环境压力及污染治理模式研究

系统分析了辽河流域近十年社会经济和水污染物排放之间的关系,基于污染物排放强度和人均GDP指标,建立辽河流域COD和氨氮环境学习曲线;结合情景分析法预测在现有治污水平下,辽河流域未来水污染物排放趋势及水环境压力。结果表明,辽河流域水环境压力巨大。根据辽河流域污染治理中存在的实际问题,提出新时期的污染治理模式。     

克山县空气质量及变化趋势

通过对克山县2003—2012年的空气监测数据分析,二氧化硫和总悬浮物颗粒物呈下降趋势,氮氧化物和降尘浓度变化不大;尘类是影响环境质量的主要污染物,县区环境空气质量呈轻度污染,根据各年度的监测数据来看,环境空气质量逐年得到改善。     

区域主体功能实现与自然资源利用的定量关系研究

主体功能区划通过主体功能划分的方式将开发和保护结合,自然资源开发利用复杂化过程中资源利用与目标实现之间亟需实现基本的定量核算关系。本文从自然资源可持续利用角度,试图探讨建立初步的主体功能核算关系,通过核算框架进行生产、生活、生态主体功能概算与比较。以京津冀主体功能区与水资源为例,对所设立的核算关系进行了验证与应用,并构造绝对与相对量指标量化京津冀主体功能量、功能水资源投入量与效率,进行了异空间尺度与异质性功能的比较,为以主体功能实现最大化为目标的资源优化配置提供量化工具。结果显示:①利用生态服务价值测算的当量因子法与水足迹测算的投入产出法,刻画了水资源对于地区主体功能的支撑作用。②利用功能总量与单位功能水资源投入量指标完成了异质性功能在异质性空间上规模、结构、相应水资源效率的比较。基于算例结果得到以下结论:①本文构建的自然资源-主体功能核算关系框架能够有效衔接主体功能规划,定量核算能有效反映与评价资源对区域功能目标、经济开发活动的支撑作用。②区域资源配置存在相对功能实现的效率差异,可根据资源投入与功能产出之间的关系引导实现功能最大化目标的资源配置。合理、有效的量化手段能够推进主体功能制度的落实,也有助于当前中国空间规划体系编制与落实的实际指导效果。     

A comparative analysis of predictors of sense of place dimensions: attachment to, dependence on, and identification with lakeshore properties

Sense of place can be conceived as a multidimensional construct representing beliefs, emotions and behavioural commitments concerning a particular geographic setting. This view, grounded in attitude theory, can better reveal complex relationships between the experience of a place and attributes of that place than approaches that do not differentiate cognitive, affective and conative domains. Shoreline property owners (N=290) in northern Wisconsin were surveyed about their sense of place for their lakeshore properties. A predictive model comprising owners' age, length of ownership, participation in recreational activities, days spent on the property, extent of property development, and perceptions of environmental features, was employed to explain the variation in dimensions of sense of place. In general, the results supported a multidimensional approach to sense of place in a context where there were moderate to high correlations among the three place dimensions. Perceptions of environmental features were the biggest predictors of place dimensions, with owners' perceptions of lake importance varying in explanatory power across place dimensions.