Applications of Numerical Sediment Quality Targets for Assessing Sediment Quality Conditions in a US Great Lakes Area of Concern

Contaminated sediments are receiving increasing recognition around the world, leading to the development of various sediment quality indicators for assessment, management, remediation, and restoration efforts. Sediment chemistry represents an important indicator of ecosystem health, with the concentrations of contaminants of potential concern (COPCs) providing measurable characteristics for this indicator. The St. Louis River Area of Concern (AOC), located in the western arm of Lake Superior, provides a case study for how numerical sediment quality targets (SQTs) for the protection of sediment-dwelling organisms can be used to support the interpretation of sediment chemistry data. Two types of SQTs have been established for 33 COPCs in the St. Louis River AOC. The Level I SQTs define the concentrations of contaminants below which sediment toxicity is unlikely to occur, whereas the Level II SQTs represent the concentrations that, if exceeded, are likely to be associated with sediment toxicity. The numerical SQTs provide useful tools for making sediment management decisions, especially when considered as part of a weight-of-evidence approach that includes other sediment quality indicators, such as sediment contaminant chemistry and geochemical characteristics, sediment toxicity, and benthic macroinvertebrate community structure. The recommended applications of using the numerical SQTs in the St. Louis River AOC include: designing monitoring programs, interpreting sediment chemistry data, conducting ecological risk assessments, and developing site-specific sediment quality remediation targets for small, simple sites where adverse biological effects are likely. Other jurisdictions may benefit from using these recommended applications in their own sediment quality programs.     

基于系统科学的重要经济目标防护研究

透过国民经济、人防法规、防空战备等角度解释重要经济目标的概念,明确重要经济目标毁伤与防护是一系统现象、系统问题;在对毁伤的特征与影响、防护的特性与效能进行系统描述的基础上,按经济目标、空袭打击、防护对策3层面,构建了目标毁伤与防护的三维体系架构,提出了目标防护规律建模方法框架,确立了重要经济目标防护的系统科学观。其观点认为目标防护应立足保护系统功能,其实质是保护生产能力,旨在实现综合集成。     

复合生物法处理炼化污水厂恶臭气体

介绍了“生物洗涤+生物滴滤”的复合生物法在某炼化企业污水处理厂治理恶臭污染的工艺原理、技术流程、过程控制和实践效果,分析讨论生物处理装置运行影响因素。实践结果表明,复合生物技术对炼化企业污水处理厂恶臭治理具有较为理想的恶臭净化效果,其中硫化氢处理效率可达到98%,非甲烷总烃处理效率可达到94%,且运行操作简便、成本低廉、无二次污染。     

VOCs released from municipal solid waste at the initial decomposition stage: Emission characteristics and an odor impact assessment

The nuisance from odor caused by municipal solid waste (MSW) is resulting in a growing number of public complaints and concerns. Odor pollution occurs in the initial decomposition stage of MSW, including waste collection, transportation and early pre-treatment. Furthermore, decomposition takes place in waste facilities that are often close to living areas, which can result in odor impacts on local inhabitants. However, this aspect of odor impact from MSW has not been well studied. In the current study, lab-scale waste cells were designed to simulate MSW storage conditions in the early stage. The characteristics of VOCs emissions with different waste compositions were analyzed. The odor concentration (C_O, non-dimensional) method and odor intensity were used for the assessment of odor. Ethanol was the substance with highest emission rate. The release rate of VOCs increased with the growth easily biodegradable waste (EBW). VOCs emissions was reduced by 25% when the proportion of EBW decreased from 60% to 45%. Methyl sulfide, ethanol, dimethyl disulfide and ethyl acetate were identified as typical odorants. The EBW proportion in waste is the main factor significantly influencing odor pollution. The C_O was 244.51 for the 60% EBW condition, which was only 61.46 for 15% EBW condition. These study results provide important information for the implementation of a garbage sorting policy and the monitoring of odor pollution from waste management.     

2020和2030年碳强度目标约束下中国碳排放权的省区分解

建立了碳排放权省区分配模型,在中国2020年和2030年碳强度目标约束下,分阶段进行碳排放权的省区分配.结果表明：2016~2020年,中国各地区碳排放权分配相差悬殊.碳排放权配额最多的5个省份分别是经济发展水平和历史碳排放量均处于全国前列的广东、江苏、内蒙古、山东和山西地区,配额最少的5个省份依次是安徽、吉林、甘肃、宁夏和贵州.同时,各地区面临不同的减排压力.山西、山东、辽宁和陕西在2016年初始节点的碳空间严重不足,需要承担较大的减排压力.而广东、江苏和上海等地减排压力相对乐观.2021~2030年,各省份的碳排放权分配与第1阶段分配结果大体一致,所有省份在2030年碳排放空间均有盈余.但是部分地区（如新疆、陕西、吉林、青海、甘肃、宁夏和贵州等）截至2030年碳排放剩余空间相对有限,按期完成减排目标仍然存在较大压力.考虑到各省区面临不同的减排任务和压力,制定差异化的减排政策并在政策上给予适当的扶持是保证中国减排目标顺利达成的关键.     

加工中东含硫原油时常压系统恶臭污染治理对策和技术

分析了加工中东含硫原油时常压系统恶臭污染的来源。提出了防治对策，并介绍了燃烧、吸收、吸附、生物、脉冲电晕放电、光催化氧化、超临界水氧化等恶臭气体综合处理技术。     

区域可持续发展与水资源优化配置研究——以西北干旱区柴达木盆地为例

西北干旱区水资源的合理开发利用与优化配置是实现干旱区可持续发展目标的首要前提。论文依据可持续发展的基本原理,以柴达木盆地为例,设计了水资源优化配置的总体思路,对水资源优化配置的多目标进行竞争辨识,采用以投入产出模型、AHP法等定性为主的决策方法和以系统动力学模型、生产函数模型等定量为主的决策方法生成水资源优化配置基准方案,进而采用多目标决策方案优选的密切值模型求出了柴达木盆地宏观经济发展与水资源优化配置的最佳方案。     

基于保护目标制定的湖泊流域入湖河流河段划分方法——以滇池流域为例

通过科学合理地划分河段实现栖息地分类管理是恢复流域生物完整性的重要内容之一.湖泊流域入湖河流空间尺度小、坡降大、生态学过程差异性显著的特点导致其河段类型复杂多样,与河流流域河段类型的大尺度特征具有明显区别,因此,河流流域河段划分指标及其方法不适用于湖泊流域,亟需发展以栖息地分类管理为目的的湖泊流域河段划分方法.本文通过回顾河流分类的概念、划分依据及划分方法的发展历程,明确了湖泊流域河段划分理论基础,提出了基于保护目标制定的湖泊流域河段划分方法,为恢复湖泊流域生物完整性提供了更为精细的管理单元.同时,以滇池流域为例,通过筛选与大型底栖动物敏感种群和濒危种群显著相关的环境因子,建立了由地貌类型、土地利用方式、河水来源、河道人工化情况及水体营养程度构成的指标划分体系;在实现各划分指标空间化的基础上,利用空间叠加聚类技术手段,将滇池流域入湖河流划分为9个河段类型,为滇池流域水生态系统健康恢复提供了科学依据.     

固废处理行业臭气治理技术及其应用

臭气的产生机理为固废与氧气相互作用在好氧或厌氧菌的影响下,其中的有机成分衍生出刺激性气味或分解形成氧化物质。固废处理行业臭气成分主要包括含硫(S)臭气、含氮(N)臭气、卤代烃、烃类化合物、含氧(O)臭气等。臭气治理技术主要有活性炭吸附技术、离子除臭技术、生物除臭技术、植物液除臭技术。应用时应考虑费用、操作、投资与实际情况的匹配程度进行技术的选择。     

The complex relationship between personal sense of connection to animals and self‐reported proenvironmental behaviors by zoo visitors

The global biodiversity crisis requires an engaged citizenry that provides collective support for public policies and recognizes the consequences of personal consumption decisions. Understanding the factors that affect personal engagement in proenvironmental behaviors is essential for the development of actionable conservation solutions. Zoos and aquariums may be some of the only places where many people can explore their relations with wild animals and proenvironmental behaviors. Using a moderated‐mediation analysis of a survey of U.S. zoo and aquarium visitors (n = 3588), we explored the relationship between the sense of connection to animals and self‐reported engagement in proenvironmental behaviors related to climate change and how this relationship is affected by certainty that climate change is happening, level of concern about climate change, and perceptions of effectiveness in personally addressing climate change. We found a significant, directional relationship between sense of connection to animals and self‐reported proenvironmental behaviors. Political inclination within the conservative to liberal spectrum did not affect the relationship. We conclude that a personal sense of connection to animals may provide a foundation for educational and communication strategies to enhance involvement in proenvironmental actions.