Setting conservation management thresholds using a novel participatory modeling approach

We devised a participatory modeling approach for setting management thresholds that show when management intervention is required to address undesirable ecosystem changes. This approach was designed to be used when management thresholds: must be set for environmental indicators in the face of multiple competing objectives; need to incorporate scientific understanding and value judgments; and will be set by participants with limited modeling experience. We applied our approach to a case study where management thresholds were set for a mat‐forming brown alga, Hormosira banksii, in a protected area management context. Participants, including management staff and scientists, were involved in a workshop to test the approach, and set management thresholds to address the threat of trampling by visitors to an intertidal rocky reef. The approach involved trading off the environmental objective, to maintain the condition of intertidal reef communities, with social and economic objectives to ensure management intervention was cost‐effective. Ecological scenarios, developed using scenario planning, were a key feature that provided the foundation for where to set management thresholds. The scenarios developed represented declines in percent cover of H. banksii that may occur under increased threatening processes. Participants defined 4 discrete management alternatives to address the threat of trampling and estimated the effect of these alternatives on the objectives under each ecological scenario. A weighted additive model was used to aggregate participants’ consequence estimates. Model outputs (decision scores) clearly expressed uncertainty, which can be considered by decision makers and used to inform where to set management thresholds. This approach encourages a proactive form of conservation, where management thresholds and associated actions are defined a priori for ecological indicators, rather than reacting to unexpected ecosystem changes in the future.     

Generic scenario for the impact of cooling lubricants into the hydrosphere

According to directive 93/67/EEC of the European Commission, this paper deals with the generic exposition evaluation of the environmental concentration of cooling Lubricant chemicals from the metal working industry into the hydrosphere. After considering the relevant life-cycle steps and the selection of a representative point source for the 'reasonable worst case', the emission per day Elocal(water) is determined. It leads to the predicted environmental concentration (PEClocal(water)) for the local stage in the compartment water. In order to gain the PEClocal(water) for an example--a corrosion inhibitor as additive in a cooling lubricant--, the relevant emission paths and the corresponding representative point source are described for the reasonable worst case. For non-water-miscible cooling lubricants, none of the operations in the life cycle leads to a release into the compartment water. To evaluate the hazard potential for cooling lubricant chemicals, the complete risk assessment has to be done. Also, the assessment has to be done for all high production volume chemicals, new substances and existing hazard chemicals. This means that even industrial categories like chemicals used in the textile industry or biocides and others have to be evaluated.     

碳交易背景下中国石化行业2020年碳减排目标情景分析

石化行业作为中国八大典型高碳排放产业之一,也是碳市场参与的重要行业.在国家2020年碳排放强度目标的约束下,客观评价其行业减碳的压力,对于政府部门科学制定各个行业碳排放配额的分配方案具有重要支撑作用.同时,亦对于通过低碳转型升级实现行业的可持续发展和支撑国家的工业减排目标具有理论和现实意义.本文针对石化行业9个子部门,结合我国经济发展的总体背景和趋势以及石化行业的相关数据,以2010年为基准情景,在2020年国家碳排放强度分别下降45％和50％的减排约束目标下,构建了一个动态CGE模型——PCCGE,借助GAMS软件模拟分析,预测了到2020年国家和石化行业经济总量、能源消费结构和碳排放量及碳强度等的变化趋势.研究结果表明,相比基准情景,在45％、50％的碳强度减排目标下,国家和石化行业的经济增长、能源消费结构和碳排放强度等指标分别受到一定程度影响,其中,50％的减排目标对国家整体经济增速影响更为明显;对煤炭、石油这两种高碳能源的需求产生了较显著的约束效应;相比国家45％-50％的低碳发展目标,石化行业减碳承受压力达到60.63％至64.78％,面临着艰巨的减排任务与挑战.最后,文章结合低碳市场化背景提出了如下建议:科学预测典型离碳行业的减碳潜力,谨慎应对石化等行业企业参与碳市场交易过程中碳配额指标的制定与分配;充分利用技术创新和能源结构调整等战略,提高可再生能源的使用规模,促进能源消耗结构的优化和调整;构建石化行业节能低碳技术产学研协同创新体系,解决共性节能技术瓶颈;实施石化行业企业低碳发展战略,建设完善碳排放管理体系是行业节能减碳的重要手段.     

5G对中国碳排放峰值的影响研究

基于目前5G技术的发展情况,利用holt指数平滑法和动态分析法预测了未来20年5G基站产生的直接碳排放量.根据预测模型,5G基站建设会在2038年左右达到饱和状态,数量约为1434万个.考虑到5G技术的发展推动其他产业发展可能导致的碳排放量变化,利用投入产出法和灰度时间预测法等方法评估了5G技术引起的各行业间接碳排放量...     

水喷淋下大空间建筑烟气输运的数值模拟研究

大空间建筑由于其功能、结构上的特殊性,使得现有的消防规范不能满足其防火要求,特别是针对大空间建筑的防排烟设计就更为不适用。性能化设计方法是目前防火领域最先进的技术,水喷淋系统作为大空间建筑原有的消防设施其对火灾烟气输运的影响,已作为一项重要的性能参考指标。笔者从数值模拟的角度出发,利用流体动力学软件FDS,研究有无喷淋情况下火源功率能量传递及羽流烟气的输运过程。通过对两种火灾场景下火羽流温度、地面传导热通量及辐射热通量的对比分析,探讨了火羽流流场分布形式,为大空间建筑的防排烟设计提供有力参考。     

基于天然气供气业务突发事件情景构建的应急演练技术与实践

为了解决由于天然气管网供气量、用气量变化所导致的天然气供气业务突发事件应对问题,在天然气供气业务突发事件风险特点的基础上,围绕突发事件发生前的应急演练开展针对性研究。结合天然气供气业务资源流向特点,分析可能导致天然气供气业务发生突发事件的3种主控因素,并在研究分析国内外情景构建技术研究与应用现状的基础上,设计包括情景概要等5个一级要素、19项二级要素为基础的天然气供气业务突发事件应急演练脚本,为相关企业开展天然气供气业务突发事件应急演练提供参考和借鉴。     

我国南方不同类型草地生产力及对气候变化的响应

为进一步明晰南方不同类型草地的碳源汇关系,预测未来气候情景下可能的碳循环特征,利用本地参数化的BIOME-BGC模型对2001~2010年低山丘陵草原化草甸、典型草山草坡和典型山地草甸样地净初级生产力(NPP)与净生态系统生产力(NEP)进行了模拟估算。不同类型草地的NPP和NEP 10年间变化趋势不同,低山丘陵草原化草甸、典型草山草坡和典型山地草甸的NPP平均值分别为357.17、232.4和191.96gC/(m2·a);NEP的平均值分别为3.25、21.28和81.96gC/(m2·a)。3种类型草地NPP与温度之间存在显著的正相关关系,NEP与温度之间存在着显著的负相关关系;本模型模拟的NPP和NEP与年平均降水量之间相关性不明显。未来气候情景C1P-1T1下(CO2浓度倍增,年均温增加2℃,降水减少10%),低山丘陵草原化草甸样地NPP增加26.93%,NEP增加160%;典型草山草坡样地NPP增加62.20%,NEP增加153%;典型山地草甸样地NPP增加135%,NEP增加206%。3种南方草地类型在未来气候情景下都将有一定的碳汇增长潜力,其中以典型山地草甸的碳汇潜力最为明显,与降水量相比受温度变化的影响相对较大。     

基于案例推理的地铁非常规突发事件应急决策方法研究

针对地铁非常规突发事故发生时,由于地下环境复杂且封闭,很难获取较全面、准确的事件信息等问题,非常规突发事件的地铁应急决策是一个复杂的过程。通过对地铁事件原则性机理进行分析和研究,得到地铁发生重大火灾事故情景分析的贝叶斯网络节点变量,借鉴CBR模型的思想,将基于结构和属性的双重情景检索的事故案例推理应急决策方法应用到地铁火灾非常规突发事件应急决策中,该方法排除了因属性值缺失造成相似度无法计算或计算有误的情况,可为地铁交通应急平台的后期建设提供理论支持     

Integration of accident scenario generation and multiobjective optimization for safety-cost decision making in chemical processes

Investment in Chemical Process Industries for improving their safety requires considering risk level, environmental effect, cost and many other aspects simultaneously. This paper focuses on a new systematic method of finding the most cost–risk–effective investment scenario set. The method uses the automatic accident scenario generation technique first to find a set of the most dangerous scenarios. Then it uses the multiobjective optimization method to decide the priority of the investment. These computations includes considering many constraints such as limited budget, environmental requirements and social demands. The Styrene Monomer plant case study proves the practical use of this integration method of accident scenario generation and multiobjective optimization.     

山东省水泥行业CO_2减排关键技术的实施分析

由于社会对水泥需求的不断增长,多年来山东省水泥工业一直处于快速发展时期。作为国民经济的基础工业同时也是高耗能行业,山东省水泥行业面临着巨大的CO2减排压力。同时,技术自身的先进性决定了其相应的减排潜力,而减排效果的实现程度则取决于技术的推广度。在技术的推广过程中,其减排潜力、减排成本以及相关的政策支持都是关键性的影响因素,针对技术实施障碍进行深入的分析和探讨对实际减排效果的预测具有重要的意义。本研究利用长期能源替代规划系统软件建立了LEAP-Shandong Cement模型,对山东省水泥行业的CO2排放量及相应的减排潜力进行了模拟评估。到2020年,相对于基准情景,政策情景和技术情景下的减排潜力分别为8.2%和15.6%。山东省水泥行业实现减排主要依靠窑型的替代和相应技术的进步,其中余热发电技术改进为近期的重点减排技术,在水泥行业减排兼具显著的环境、经济和社会效益。