城市化的生态风险及其管理

城市化体现在人口向城市聚集和城市景观扩张的同时,社会结构发生了极大变化,城市生产生活方式向更加广泛的地区扩散。然而,随着人口的过度密集和城市的日益扩张,交通拥堵、空气污染、废物堆积、流行病肆虐等"城市病"频发。城市通过大量汲取和消耗自然资源,向周围环境排放大量污染物,改变了区域生态系统的原有结构和功能,产生了严峻的生态风险,进而制约着城市生态系统的可持续发展。城市化的生态风险正逐步得到广泛关注,但对其具体的内涵和影响尚不明晰。归类描述了城市化过程中面临的各种生态风险,分析了导致生态风险的主要因素,阐述了辨识与评价生态风险的基本方法,提出了城市化生态风险的调控管理对策。     

The properties of global risk networks and corresponding risk management strategies

Global risks interconnect with one another and threaten our society as a highly interdependent system. However, knowledge on how risk materializations influence one another is limited. Thus, this study provides a network model to measure risk interdependence and presents recommendations on the integrative risk management framework.

This study develops a global risk network and calculates its key indicators of structural characteristics. Results show that global risks are closely interconnected and a particular triangle relationship exists among environmental, geopolitical, and societal risks. To improve the resilience of a risk system, the systematic important risks, which are “man-made environmental catastrophes” and “interstate conflict” in this study, should be monitored and controlled. Furthermore, we simplify the risk system by entirely managing risks in the same group based on our reclassification. Our method is considerably effective in detecting upcoming crisis and assists supervisors take timely action to prevent crisis.     

基于多风险源胁迫的西南地区生态风险评价

西南地区生态环境复杂、人地矛盾突出,生态系统面临着多种风险胁迫,进行生态风险评价对区域生态风险的预警和防控具有重要的意义。基于西南地区的生态环境特征,将生态风险分为自然灾害风险与人类活动风险,从风险源危险性、生态系统潜在损失度、生态系统易损性3个方面构建单一风险评价模型,将单一风险评价结果进行综合分析得到西南地区综合生态风险结果。研究表明,西南高生态风险区面积为17.02万km2,占研究区总面积7.4%,主要分布在念青唐古拉山、邛崃山、哀牢山、无量山、金沙江、怒江、澜沧江、大渡河流域等地,以及成都、重庆、贵阳等人地作用强烈的大城市周边。这些地区环境复杂,灾害易发,应加强防控与监测,优化产业结构,继续推进生态保护工程,降低生态风险。     

Finding fault with health risk assessment: A typology for risk assessment criticism

Although systematic, quantitative assessment of environmental health risks is a staple of regulatory decision-making, complaints regarding its perceived failures and shortcomings are an intrinsic feature of the policy landscape. In this article, we (a) catalog the classic criticisms of conventional health risk assessment, (b) create a typology that orders the critiques according to their focus on either input errors or output biases, and (c) identify selected allegations that fall within each category. We also note that the risk assessment–risk management paradigm has evolved over the past several decades, partially in accordance with the general direction and spirit of these classic critiques. The debate continues today along familiar lines invoking the traditional critiques and rebuttals outlined here.     

Perspectives on environmental risk assessment

Risk is by no means a simple concept. Natural variability and definitional problems with the concept of probability complicate the measurement and use of risk as an analytical tool. Variability requires that risk assessment methods separate natural from total risk when attempting to estimate anthropogenic risk. Failure to do so results in the over estimation of anthropogenic risk and the eventual loss of credibility for risk assessment methodologies. The common frequentist approach to probability is not consistent with anything but a modelling approach to risk assessment. When combined with its ability to account for natural variability, incorporate laboratory-assay data and offer complete statistical and experimental control, modelling is a promising approach to risk assessment. Modelling, however, is not without its drawbacks. Initialization bias can result in the over, or under, estimation of both natural and anthropogenic risk. Furthermore, model estimates are time dependent. The convergence of natural and anthropogenic risk poses problems for modelling-based risk assessment and requires clear statements as to the importance of the time dimension in risk assessment. When combined, the drawbacks to modelling-based risk assessment argue that risk should never be stated as a scalar quantity. Instead, modelling-based risk assessment should provide estimates of the complete range of risk measures (total, natural, and anthropogenic) as well as indications of convergence time. Only then can the modelling-based approach be viewed as the most appropriate means of carrying out scientifically credible risk assessment.     

生态风险评价方法述评

生态风险是由环境的自然变化或人类活动引起的生态系统组成、结构的改变而导致系统功能损失的可能性。生态风险评价是定量预测各种风险源对生态系统产生风险的或然性以及评估该风险可接受程度的方法体系,因而是生态环境风险管理与决策的定量依据。在介绍了生态风险概念的基础上,按照风险源性质的分类标准将生态风险划分为化学污染类风险源、生态事件类风险源、复合类风险源3类,并分别论述了3类生态风险对应评价方法的特点与发展的方向。另外,针对生态风险评价研究的现状,讨论了我国生态风险研究的优先领域,包括建立急性、慢性毒理数据库,构建外来生物入侵风险评价标准等,同时,建议将综合概率统计学、复杂系统理论与遥感技术等手段引入生态风险评价方法中,以进一步提高风险评价结果在生态风险管理中的有效性。     

生态风险评价及研究进展

生态风险是当前环境管理研究领域中的一个热点问题,其研究着重关注化学、物理和生物的胁迫因子可能对生态系统或其组分的有害影响.生态风险评价对科学制定环境管理决策有着重要的意义.要对生态系统进行有效地管理,必须预测不利生态影响发生的可能性及后果,减小其对于生态系统或某些组分的损害程度.本文对生态风险评价的研究方法、工具以及研究趋势进行了综述,指出了目前生态风险评价中还需要进一步加强的研究领域,认为在当前城市化水平不断提高的情况下要关注城市生态风险,并针对存在的一些问题提出了今后的研究展望.     

区域生态风险管理研究进展

近20a来,随着生态风险评价研究的不断深化,区域生态风险评价的理论和方法日臻完善,与此紧密相关的生态风险管理日益受到了广泛关注.生态风险管理具有基于监控的反馈机制、风险受害者参与、程序灵活非线性化、关注成本效益等共同点.总结了国内外生态风险管理的研究进展,发现近年来生态风险管理的研究多是基于生态风险评价的结果,针对不同的风险类型和等级采取不同的管理措施.国内现有的研究对灾害风险管理的体系、机制建设较为成熟,但区域生态风险管理的机制研究尤其是预警和防范方面研究尚不成熟.基于此,构建了基于风险来临前、风险到来时和风险过后的区域生态风险管理的基本框架,研究结果对生态风险管理理论的构建和实践应用具有重要的意义.     

区域生态风险评价的关键问题与展望

区域生态风险评价具有多风险因子、多风险受体、多评价终点、强调不确定性因素以及空间异质性的特点,它与传统的生态风险评价在风险源、胁迫因子和评价尺度上具有明显区别。尝试建立了一个基于陆地生态系统的区域生态风险评价框架,同时针对目前区域生态风险评价的研究现状,指出不确定性分析、尺度外推难、评价指标不统一、评价标准不统一、风险因子筛选及优先排序、区域内污染物复合、水生过渡到陆生生态系统风险评价、特殊的人为因素等是目前区域生态风险评价存在的关键问题及难点所在,并提出解决这些问题可能所需的工具、手段和理论方法突破。最后指出区域生态风险观测与数据采集加工、区域生态风险指标体系的统一与整合、区域生态风险评价方法论、区域生态风险的空间分布特征与表达以及区域生态风险评价反馈与管理机制5个方面是区域生态风险评价未来的研究重点。     

水生动物进口风险评估综述

随着全球水产养殖业的发展,水产动物活体或水产品贸易日益频繁,不可避免地给进口国带来病原风险,造成疾病引入和传播,甚至生物入侵,严重危害水产养殖业的发展。水生动物进口风险评估(IRA),是指从别国或地区进口水生动物活体包括其受精卵、稚鱼、幼鱼、苗种、成体以及商品等的风险分析。风险分析是指对风险事件进行科学、透明、系统分析的一个过程,它由危害识别、风险评估、风险交流和风险管理4个部分构成。目前,常用的风险评估方法有定性风险评估、半定量风险评估和定量风险评估3种。定性风险评估具有灵活性强、适用范围广、易掌握的特点,能够综合各种资料、数据和信息,尤其适合初次风险评估,但容易受评估人员主观因素的影响。定量风险评估可避免主观因素的影响,评估结果准确、可靠,但需要收集大量数据,工作量巨大,评估成本也很高。通常,定性评估结果若能够提供很好的防范措施,则不必进行定量评估。将外来水生病原阻止在引进之初远比引入后根除更加容易。因此,开展水生动物进口风险评估对于阻止水生动物疾病传播和水生态环境破坏具有重要意义,同时也可为各国进行水产贸易提供参考。     

Effects of alternative styles of risk information on EMF risk perception

Risk scenarios characterized by exposures to new technologies with unknown health effects, together with limited appreciation of benefits pose a challenge to risk communication. The present report illustrates this situation through a study of the perceived risk from mobile phones and mobile masts in residential areas. Good information should objectively convey the current state of knowledge. The research question is then how to inform lay people so that they trust and understand the information. We used an Internet‐based survey with 1687 Danish participants randomized to three types of information about radiation from mobile phones and masts. The objective was to study whether different types of information were rated as equally useful, informative, comprehensible, and trustworthy. Moreover, an important issue was whether information would influence risk perception and intended behavior. The conclusion is that lay people rate information about risks associated with a new and largely unknown technology more useful and trustworthy when provided with brief statements about how to handle the risk, rather than more lengthy technical information about why the technology may or may not entail health hazards. Further, the results demonstrate that information may increase concern among a large proportion of the population, and that discrepancies exist between expressed concern and intended behavior. Bioelectromagnetics 31:504–512, 2010. © 2010 Wiley‐Liss, Inc.     

太湖流域生态风险评价

随着城镇的急剧扩张和经济的快速增长,流域生态环境遭到极大冲击和破坏,致使生态系统出现资源退化、环境恶化与灾害风险加剧的趋势,生态环境面临前所未有的挑战.从复合生态系统入手,深入分析流域内各生态系统要素之间的相互作用与影响机制,综合考虑多风险源、多风险受体和生态终点共存情况下的风险大小,从风险源危险度、生境脆弱度及受体损失度三方面构建了流域生态风险评价技术体系,并选取太湖流域为实证区域,对太湖流域2000年、2008年两个时期生态风险的时空演化特征进行评价与分析.结果表明:太湖流域生态风险指数介于0.015-0.253之间,以中等和较低生态风险为主.至2008年,高、较高生态风险所占面积逐渐扩大,已由2000年的5.66％、13.42％增加至6.05％、18.42％,主要集中在流域北部的常州市区、江阴市大部分地区以及无锡市区.     

Information requirements and regulatory approaches for heritable genetic risk assessment and risk communication

With the evolution of genetic toxicology as a scientific discipline and the formation of the Environmental Mutagen Society (EMS), much thought was given to the study of chemicals in the human environment for their mutagenic effects. The Society's goal was to promote scientific investigation and dissemination of information related to genetic toxicology. Subsequently, the concern for chemically induced genetic damage in human germ cells and its potential impact on genetic diseases was detailed in the Committee 17 Report (1975). With new information on the involvement of genetic alterations in disease and on the ramifications of possible effects of exposures to environmental mutagens, it is becoming increasingly necessary to again focus our attention on the assessment of heritable genetic effects. Clearly, strategies for communication of genetic hazard/risk assessments to exposed individuals and to those charged with regulating environmental agents need to be developed.     

城市滑坡灾害生态风险不确定性分析及风险管理——以深圳市为例

城市化的快速推进加剧了建设活动强度,强烈改变自然地表,破环原本稳定的地质环境,导致滑坡灾害日益频繁。本研究以深圳市为研究区,基于"危险性-脆弱性-潜在损失"三维评价框架评价深圳市街道尺度滑坡灾害生态风险、运用"三基色"原理可视化风险结构,并采用蒙特卡洛模拟进行不确定性分析,进而提出生态风险管理措施。结果表明:(1)不确定性与街道面积呈显著的负相关关系,随着街道面积增加,生态风险源不确定性减少;(2)以风险源为不确定性主体的生态风险评价中,不确定性由生态风险源不确定性和"源外"因子大小共同主导,"源外"因子大小是生态风险评价不确定的敏感因素;(3)深圳市滑坡灾害生态风险从西到东呈现"低-高-低-高"交错结构,风险结构主要为"高脆弱-高潜在损失"型和"高危险-高潜在损失"型。分析生态风险结构,建立滑坡灾害生态风险管理体系,制定明确风险管理目标,有利于高效地进行生态风险管理。     

西藏高原拉萨河流域生态风险评估

随着我国西部崛起战略的实施,社会经济发展所引发的生态风险逐渐引起生态学者和政府管理部门的高度关注。拉萨河流域作为高原生物多样性的维持基地,也是我国及东亚的重要生态安全屏障区,为有效管控其社会经济发展中产生的生态环境风险,通过适合高寒流域特征的风险评估方法,识别了研究区风险源,选择风险受体,采用相对风险模型计算了各研究单元的风险等级。结果表明:城关区的生态风险最高,主要风险来源于城镇扩张和旅游娱乐;当雄县生态风险最低,风险来源于畜牧养殖;林周县、曲水县、达孜县、堆龙德庆区以及墨竹工卡县的首要风险源是农业污染。水体和湿地的风险值明显高于其他生态系统。风险值的空间分布表现为南高北低的特征,且风险等级以城关区为中心向外围逐渐降低。     

A novel quantitative ecological and microbial risk assessment methodology: theory and practice

Abstract

The environment is a complex system where humans, materials (e.g. pollutants), and ecological (e.g. plants, animals, microbes) and meteorological conditions interact with each other. The impact of humans potentially causes significant damage to either the environment (e.g. oil spills may pollute coastal ecosystems) or turns against humans themselves by favoring the growth of unwanted species (e.g. poor sanitation increases microbial populations that cause the risk of large numbers of humans falling ill). Thus, this paper presents a flexible method for quantifying either ecological risks (i.e. the percentage likelihood of adverse effects on the ecosystem due to its exposure to stressors such as chemicals, fishing, etc.) or microbial risks (i.e. the likelihood of negative effects in humans due to their exposure to microbial pathogens). The method uses population modeling to simulate future changes in the numbers of key-species (e.g. fish, corals, sharks, parasites), in various scenarios including the impacts of humans, adverse weather and risk management. Finally, risk is calculated as the probability of the quasi-extinction or quasi-explosion of key-species over time, and then is categorized so that the risks involved may be better communicated to decision-makers. Using the method is illustrated in three different real cases in Brazil.