Sustainable pattern analysis of a publicly owned Material Recovery Facility in a fast-growing urban setting under uncertainty

Sustainable development goals are achievable through the installation of Material Recovery Facilities (MRFs) in certain solid waste management systems, especially those in rapidly expanding multi-district urban areas. MRFs are a cost-effective alternative when curbside recycling does not demonstrate long-term success. Previous capacity planning uses mixed integer programming optimization for the urban center of the city of San Antonio, Texas to establish that a publicly owned material recovery facility is preferable to a privatized facility. As a companion study, this analysis demonstrates that a MRF alleviates economic, political, and social pressures facing solid waste management under uncertainty. It explores the impact of uncertainty in decision alternatives in an urban environmental system. From this unique angle, waste generation, incidence of recyclables in the waste stream, routing distances, recycling participation, and other planning components are taken as intervals to expand upon previous deterministic integer-programming models. The information incorporated into the optimization objectives includes economic impacts for recycling income and cost components in waste management. The constraint set consists of mass balance, capacity limitation, recycling limitation, scale economy, conditionality, and relevant screening restrictions. Due to the fragmented data set, a grey integer programming modeling approach quantifies the consequences of inexact information as it propagates through the final solutions in the optimization process. The grey algorithm screens optimal shipping patterns and an ideal MRF location and capacity. Two case settings compare MRF selection policies where optimal solutions exemplify the value of grey programming in the context of integrated solid waste management.     

铁路客运站疏散安全风险分析与对策研究——以乌鲁木齐站为例

本文对乌鲁木齐站疏散安全进行分析研究。经乌鲁木齐站客流数据分析得,日均客流量1.78万人,日常高峰时段客流量2.4万人,每日早高峰客流在9:00～12:00之间,晚间客流高峰在18:00～24:00之间。乌鲁木齐站以原有疏散能力计算,日常高峰时段旅客平均排队时间为36.7min,其他特殊时段旅客积压排队现象更长,造成旅客需要提前1.3～2.0小时排队进站。影响乌鲁木齐站疏散安全的主要原因包括疏散设施未全部投入使用,安检设备通过能力有限,旅客疏散路线复杂等。笔者从疏散路径、疏散设施和疏散管理等方面提出疏散安全风险控制的对策和建议。     

突发事件机理体系与现代应急管理体制设计

本文为了增加对突发事件的科学认识,提升应急管理的能力水平,首先对突发事件和应急管理的内在机理进行剖析。通过分阶段、划层次地构建"4L-5S"机理分析模型,将二者划归为统一体系,以理清其逻辑内涵;然后,为顺应时代发展特征,满足应急管理的更高要求,实现应急管理工作从非常态协同应对转为常态化职能管理,对现代应急管理体制加以总体设计。从而,突发事件机理体系设计使得我国的突发事件机理研究逐渐过渡至具有阶段性和层次性,现代应急管理体制设计使得我国应急管理整合出具备现代思维理念的逻辑框架。     

基于突发事件机理分析的风险评估方法研究及应用

近年来,我国部分城市开展了城市安全风险评估工作。为了能够得到科学的风险评估方法和有效的结果,本文基于突发事件机理分析及单一事件链,对城市安全风险评估方法进行了研究及应用。通过引入控制因子,构建基于突发事件机理分析的单一事件链模型,并将该模型转化为风险评估工作的指标体系,并将该指标体系在某区城市安全风险评估工作中进行了应用,对该区17种单位或场所,涉及到的18类风险,共计201家企业进行风险级别评估。最终得出该区17种单位或场所中每种单位或场所的整体风险等级,以及重大风险数量的占比情况,为该区提出有针对性的风险管控意见奠定了一定基础,并对本文的局限性和下一步研究方向提出一些看法和意见。     

西部复杂性地貌地区消防规划评估与建设研究 ——以凉山州区域为例

城市消防规划作为城市消防安全体系建设的重要依据,是助力城市现代化进程、推动城市综合安全智慧网络形成的重要基石。通过对凉山州各地貌地区消防现状存在问题的分析,结合凉山州的实际情况及全州建设发展多种形式综合性消防应急救援队伍的需要,提出了能满足全州消防安全需求且能够有效指导城市消防建设的相应对策。     

矿山事故中人员不安全行为的风险分析与防范研究

矿山企业生产系统复杂、生产环节多、地质条件复杂多变、生产条件较为恶劣,要求其不断提高自身的应急管理水平和应急响应能力。本文首先对矿山生产事故的特性进行了分析,划分了人的不安全行为的类型,在此基础上建立了矿井事故致因模型,对事故情况下人员的行为特点、矿工的行为与井下应急场所的关系进行了深入探讨。最后,从安全管理和矿山救护队伍建设两个方面提出了控制矿山事故风险的对策。     

官方媒体参与下不同风险感知群体竞争模型及其演化规律

为识别公众风险感知的演化规律和官方媒体参与的作用机制，首先，根据公众的行为表现划分不同风险感知群体，并分析群体间的相互竞争和官方媒体的扰动作用；然后，通过扩展Lotka Volterra模型建立群体间的相互竞争模型；在此基础上，通过推导模型平衡点及其稳定性分析模型演化规律；最后，运用数值仿真考查了官方媒体的参与对模型演化的影响。研究结果表明:模型演化具有3种结果情景，官方媒体参与能够显著改变模型演化的速度和结果。     

Developing Metapopulation Connectivity Criteria from Genetic and Habitat Data to Recover the Endangered Mexican Wolf

Restoring connectivity between fragmented populations is an important tool for alleviating genetic threats to endangered species. Yet recovery plans typically lack quantitative criteria for ensuring such population connectivity. We demonstrate how models that integrate habitat, genetic, and demographic data can be used to develop connectivity criteria for the endangered Mexican wolf (Canis lupus baileyi), which is currently being restored to the wild from a captive population descended from 7 founders. We used population viability analysis that incorporated pedigree data to evaluate the relation between connectivity and persistence for a restored Mexican wolf metapopulation of 3 populations of equal size. Decreasing dispersal rates greatly increased extinction risk for small populations (<150–200), especially as dispersal rates dropped below 0.5 genetically effective migrants per generation. We compared observed migration rates in the Northern Rocky Mountains (NRM) wolf metapopulation to 2 habitat‐based effective distance metrics, least‐cost and resistance distance. We then used effective distance between potential primary core populations in a restored Mexican wolf metapopulation to evaluate potential dispersal rates. Although potential connectivity was lower in the Mexican wolf versus the NRM wolf metapopulation, a connectivity rate of >0.5 genetically effective migrants per generation may be achievable via natural dispersal under current landscape conditions. When sufficient data are available, these methods allow planners to move beyond general aspirational connectivity goals or rules of thumb to develop objective and measurable connectivity criteria that more effectively support species recovery. The shift from simple connectivity rules of thumb to species‐specific analyses parallels the previous shift from general minimum‐viable‐population thresholds to detailed viability modeling in endangered species recovery planning. Desarrollo de Criterios de Conectividad Metapoblacional a Partir de Datos Genéticos y de Hábitat para Recuperar al Lobo Mexicano en Peligro de Extinción     

The city as a refuge for insect pollinators

Research on urban insect pollinators is changing views on the biological value and ecological importance of cities. The abundance and diversity of native bee species in urban landscapes that are absent in nearby rural lands evidence the biological value and ecological importance of cities and have implications for biodiversity conservation. Lagging behind this revised image of the city are urban conservation programs that historically have invested in education and outreach rather than programs designed to achieve high‐priority species conservation results. We synthesized research on urban bee species diversity and abundance to determine how urban conservation could be repositioned to better align with new views on the ecological importance of urban landscapes. Due to insect pollinators’ relatively small functional requirements—habitat range, life cycle, and nesting behavior—relative to larger mammals, we argue that pollinators put high‐priority and high‐impact urban conservation within reach. In a rapidly urbanizing world, transforming how environmental managers view the city can improve citizen engagement and contribute to the development of more sustainable urbanization.