长三角和珠三角土壤中汞的化学形态、转化和吸附特性

为了解长江三角洲和珠江三角洲农业土壤中汞的积累可能产生的环境影响,选择10个代表性农业土壤样品,研究了土壤中汞的化学形态、积累过程中形态的转化及吸附-解吸行为.研究表明,当无外源汞加入时,长江三角洲和珠江三角洲农业土壤中,汞主要以稳定的残余态形式存在.但随着汞加入量的增加,土壤中可交换态汞显著增加,增加程度与土壤性质有关.土壤pH是影响土壤汞有效性最重要的因素,其对土壤汞的吸附、解吸、形态转化和存在形态均有很大影响.土壤酸化可促进土壤汞的释放,加剧对环境的危害,防治土壤酸化也可有效降低土壤中汞对环境的危害.     

官厅水库底泥对染料的吸附特征研究

采用静态吸附法研究了北京官厅水库底泥对亚甲基蓝、孔雀石绿和刚果红3种染料化合物的吸附行为,探讨了pH值、离子强度、温度等因素对吸附的影响,测定了染料的吸附等温线.结果表明,3种染料的吸附等温线都很好地符合Freundlich方程,底泥对孔雀石绿的吸附量最大.吸附染料过程是在分形表面上发生的反应.不同染料吸附时计算出的分形维数不同,底泥的表面分形维数均处于2～3之间.pH值是影响吸附的主要因素,刚果红和亚甲基蓝受离子强度影响较大.吸附动力学研究表明,吸附分为快速吸附和慢速吸附两个阶段.     

面向突发事件智能建筑管理系统的集成结构

为了实现面向突发事件的智能建筑管理系统(IBMS),提出了智能建筑突发事件的抽象模型、基本运算操作及优先权分配机制,并根据突发事件监控和管理的目标,提出了IBMS的"分布式虚拟应急中心"集成结构.     

干旱灾害风险评估的研究进展

干旱灾害风险评估是风险管理和减灾管理的基础,其成果可以为救灾减灾提供科学依据.对干旱灾害系统的复杂性与非线性以及干旱灾害风险评估的程序、方法模型与研究内容等进展进行了综述.在此基础上,展望了干旱灾害风险评估的综合性、动态性等发展趋势,并预测了进一步研究的重点.     

李家峡水库蓄水后区域地震活动特征及危险性分析

根据李家峡水库地震台网1998-2002年的地震目录,分析了水库蓄水后库坝区和周边研究区的地震活动特征,并对未来水库地震的危险性进行了定量评价.分析结果表明:李家峡水库蓄水以来,库坝区90%的地震为0.0～1.9级的弱小地震,且地震活动与水库水位有关,相对于水位升高存在5～7个月的滞后期;研究区以1.0～1.9级地震为主,地震活跃程度呈间息式变化,地震月频次呈阶跃式变化.应用经验判别法的预测结果表明,未来李家峡水库库坝区存在诱发5级以上灾害性地震的危险性,最大震级在5.0～5.4级之间.     

城市土壤污染研究现状与趋势

城市土壤是城市生态环境系统的有机组成部分,对城市的可持续发展有着重要的意义.城市化和工业化进程的加快,造成城市土壤污染、侵蚀、酸化和硬化以及土壤生物和植被退化等一系列较为严重的城市环境问题,直接危及到城市居民的健康和安全;因此,城市土壤污染问题已经引起人们的高度重视.近10多年来,国内外有关城市土壤重金属污染,微有机物污染,生源要素污染和城市土壤污染的环境与健康风险评价等诸多研究取得了一系列的研究成果.本文主要就以上研究成果进行了较为系统地总结与阐述,并且在此基础上提出了今后有关城市土壤污染研究的发展重点与趋势,以期为改善城市生态环境质量提供重要的科学依据.     

安全科学学科的确立与安全系统学派的形成

经对史实的研究发现,安全科学学科的发展需经历二个不同的历史阶段。第一阶段是学科创立、理论形成和初步发展阶段,“以任务带学科”是这个阶段特点．期间形成了安全系统学派。第二阶段是学科理论丰富、完善和发展阶段．“以理论促事业”是这个阶段特点,向完善发展的标志是理论上形成各种学派．如已形成的“安全系统学派”那样．形成不同学术观点的各种学派,表明安全学科即将进入一个成熟的“百花齐放、百家争鸣”的新阶段．使其理论真正走上“百家争鸣——科学发展必由之路”。     

突发性大气污染事件数字化动态应急预案系统及其应用

针对近些年频繁发生的突发性大气污染事件,构建了数字化动态应急预案系统。该系统由基础信息数据库、气象环境模式与健康风险评估系统、数字化动态应急预案三部分组成,并利用地理信息系统将三者有机结合,将事故基本信息、事故发展预测及救援状况直观、动态地展现在系统界面,使应急行动得以及时、高效地展开。实地外场综合应急演习证明,该系统技术路线稳定畅通,运行高效,功能强大,具有较好的可行性和实效性。     

Systematic review of conservation interventions to promote voluntary behavior change

Understanding human behavior is vital to developing interventions that effectively lead to proenvironmental behavior change, whether the focus is at the individual or societal level. However, interventions in many fields have historically lacked robust forms of evaluation, which makes it hard to be confident that these conservation interventions have successfully helped protect the environment. We conducted a systematic review to assess how effective nonpecuniary and nonregulatory interventions have been in changing environmental behavior. We applied the Office of Health Assessment and Translation systematic review methodology. We started with more than 300,000 papers and reports returned by our search terms and after critical appraisal of quality identified 128 individual studies that merited inclusion in the review. We classified interventions by thematic area, type of intervention, the number of times audiences were exposed to interventions, and the length of time interventions ran. Most studies reported a positive effect (n = 96). The next most common outcome was no effect (n = 28). Few studies reported negative (n = 1) or mixed (n = 3) effects. Education, prompts, and feedback interventions resulted in positive behavior change. Combining multiple interventions was the most effective. Neither exposure duration nor frequency affected the likelihood of desired behavioral change. Comparatively few studies tested the effects of voluntary interventions on non-Western populations (n = 17) or measured actual ecological outcome behavior (n = 1). Similarly, few studies examined conservation devices (e.g., energy-efficient stoves) (n = 9) and demonstrations (e.g., modeling the desired behavior) (n = 5). There is a clear need to both improve the quality of the impact evaluation conducted and the reporting standards for intervention results.     

Key considerations and challenges in the application of social-network research for environmental decision making

Attempts to better understand the social context in which conservation and environmental decisions are made has led to increased interest in human social networks. To improve the use of social-network analysis in conservation, we reviewed recent studies in the literature in which such methods were applied. In our review, we looked for problems in research design and analysis that limit the utility of network analysis. Nineteen of 55 articles published from January 2016 to June 2019 exhibited at least 1 of the following problems: application of analytical methods inadequate or sensitive to incomplete network data; application of statistical approaches that ignore dependency in the network; or lack of connection between the theoretical base, research question, and choice of analytical techniques. By drawing attention to these specific areas of concern and highlighting research frontiers and challenges, including causality, network dynamics, and new approaches, we responded to calls for increasing the rigorous application of social science in conservation.