太湖流域农村生活污水产排污系数测算

选取太湖流域典型地区9户农户(高、中、低收入水平各3户)作为研究对象,采用现场监测及入户调查的方法对农户生活污水各类污染物产排污系数进行系统定量研究。结果表明,收入水平对农户总生活污水中TN、NH4+-N、TP产污系数无显著影响,但对污水量、COD产污系数及总生活污水中各类污染物排污系数影响显著,均表现为高收入农户中收入农户低收入农户。厕所污水对污水污染总负荷贡献率极高,COD占67%以上,TN、NH4+-N、TP占84%以上,因此,厕所污水的利用与处理率是影响污染物排污系数的主导因素,而农业收入水平及化粪池类型则对这2种因素影响显著。     

松前水稻（Oryzasativa cv.Matsumae）对土壤菲污染的生理生态响应

以松前水稻（Oryza sativa cv.Matsumae）为试验材料,研究了5种质量分数菲污染土壤对松前水稻营养生长期生长和生理生化指标的影响。结果表明：（1）菲质量分数低于20 mg·kg-1时促进茎直径的生长,随菲质量分数的增大对水稻苗期生长有明显的抑制作用。低质量分数和高质量分数的菲污染土壤对茎高和株高均有明显抑制作用,而中等质量分数影响不明显。（2）随菲质量分数的增大脯氨酸含量逐渐增大,而蛋白质含量均有不同程度的下降,植物体内存在着脯氨酸积累和蛋白质减少的反馈控制系统。（3）菲胁迫引起水稻叶片膜脂过氧化,植物体累积过量的丙二醛,且SOD活性受到不同程度的影响。（4）菲胁迫下,水稻营养生长期叶片叶绿素含量和光合作用速率无明显正相关关系。     

Evaluating the ecological benefits of wildfire by integrating fire and ecosystem simulation models

Fire managers are now realizing that wildfires can be beneficial because they can reduce hazardous fuels and restore fire-dominated ecosystems. A software tool that assesses potential beneficial and detrimental ecological effects from wildfire would be helpful to fire management. This paper presents a simulation platform called FLEAT (Fire and Landscape Ecology Assessment Tool) that integrates several existing landscape- and stand-level simulation models to compute an ecologically based measure that describes if a wildfire is moving the burning landscape towards or away from the historical range and variation of vegetation composition. FLEAT uses a fire effects model to simulate fire severity, which is then used to predict vegetation development for 1, 10, and 100 years into the future using a landscape simulation model. The landscape is then simulated for 5000 years using parameters derived from historical data to create an historical time series that is compared to the predicted landscape composition at year 1, 10, and 100 to compute a metric that describes their similarity to the simulated historical conditions. This tool is designed to be used in operational wildfire management using the LANDFIRE spatial database so that fire managers can decide how aggressively to suppress wildfires. Validation of fire severity predictions using field data from six wildfires revealed that while accuracy is moderate (30-60%), it is mostly dictated by the quality of GIS layers input to FLEAT. Predicted 1-year landscape compositions were only 8% accurate but this was because the LANDFIRE mapped pre-fire composition accuracy was low (21%). This platform can be integrated into current readily available software products to produce an operational tool for balancing benefits of wildfire with potential dangers.     

中国大气颗粒物中金属元素环境地球化学行为研究

大气颗粒物金属污染已成为目前大气污染的研究热点之一。文章梳理、分析归纳了中国近年来大气颗粒中金属元素的环境地球化学方面的研究。目前研究较多的是Fe、Ca、Mg、Si等地壳元素和Cu、Pb、Cd、Zn、Hg等污染元素;大气颗粒物中对人体有害的Cu、Pb、Cd、As、Zn等污染较严重,而Cr、Mn、Co、Ni等污染较轻。大气颗粒物中金属含量随时间分布变化显著,总体上呈现冬季〉秋季〉春季〉夏季的特点,空间分布上一般北方燃煤城市大于南方一般城市;城市内部一般工业区〉交通区〉居民区〉郊区;金属元素在细粒径颗粒（〈2μm）中高,粗颗粒（〉2μm）中低,尤其以污染元素明显。污染元素与地壳元素的垂直分布规律差异较大。大气颗粒物中金属元素的富集程度与元素种类、区域类型、季节变化、粒径大小等有关。最后,提出应加强大气颗粒物中金属元素空间分布差异、时间分布的尺度及差异性研究;同时加强超细颗粒物的研究,以便建立大气颗粒物金属元素与人类健康关系的风险模型。     

城市环境铂族金属分布特性及生态健康风险研究进展

随着铂族金属铂（Pt）、钯（Pd）、铑（Rh）被广泛应用于汽车尾气催化净化器中,这三种金属在自然界中的含量逐渐升高。越来越多的研究表明,这几种曾被认为对环境影响较小的金属的确会带来潜在的生态健康风险。本文概括了国内外城市各种环境介质的含量分布,重点分析了铂族金属的源解析方法、粒径分布特性、影响其排放的因素和其潜在的生态健康风险。就全世界的城市来看,灰尘、空气、土壤、沉积物等各种环境介质中铂族金属的含量均有显著提高,主要来源于汽车三元催化净化器。这三种金属倾向于富集在细颗粒中,行车模式是影响其排放量的重要因素,自然界的共存物质可增强它们的溶解性和迁移性,从而使它们的生物可利用性大大提高。生物体吸收这类金属后,可与体内的物质发生反应,形态发生变化,毒性增强。在以后的研究中,除了持续跟踪调查这三种金属在环境中的含量水平以外,还应加强研究这三种金属在环境中的颗粒分布、迁移转化、形态变换、生物可利用性以及生物毒性等,使我们能够更好地评估其生态健康风险,并为与之相关的应用研发、防范措施、政策制订提供引导和支持。     

制约湖南地区节能建筑发展的主要因素及应对技术研究

根据湖南地区节能建筑的发展现状和问题,比较国际建筑节能方面的一些先进经验,通过工程设计实例,探讨建筑产业可持续发展这一关键环节的重要性及其改进措施,并预测了节能建筑在我省的发展态势。     

Achieving Integrative, Collaborative Ecosystem Management

Abstract:  Although numerous principles have been identified as being important for successfully integrating social and ecological factors in collaborative management, few authors have illustrated how these principles are used and why they are effective. On the basis of a review of the ecosystem management and collaboration literature, we identified eight factors important for integrative, collaborative ecosystem management—integrated and balanced goals, inclusive public involvement, stakeholder influence, consensus group approach, collaborative stewardship, monitoring and adaptive management, multidisciplinary data, and economic incentives.We examined four cases of successful ecosystem management to illustrate how the factors were incorporated and discuss the role they played in each case's success. The cases illustrate that balancing social and ecosystem sustainability goals is possible. Collaborative efforts resulted in part from factors aimed at making plans economically feasible and from meaningful stakeholder participation in ongoing management. It also required participation in monitoring programs to ensure stakeholder interests were protected and management efforts were focused on agreed-upon goals. Data collection efforts were not all-inclusive and systematic; rather, they addressed the ecological, economic, and social aspects of key issues as they emerged over time. Economic considerations appear to be broader than simply providing economic incentives; stakeholders seem willing to trade some economic value for recreational or environmental benefits. The cases demonstrate that it is not idealistic to believe integrative, collaborative ecosystem management is possible in field applications.     

Metal characterization of airborne particulate matters in a coastal region

The concentrations of suspended particulate matter in the air of the Orissa Sand Complex had an average value of 128 ± 10 µg m^?3 in residential areas and 170 ± 8 µg m^?3 in mining areas. PM₁₀ levels in residential areas were found to have an average of 35 ± 10 µg m^?3, in mining areas 45 ± 10 µg m^?3. The distribution of some elements is also discussed here. Inhalation doses were observed to be higher in summer than in winter and the rainy season. The highest dose rate was for the age group of 1 year, and health risks were found to be highest for the same. For adults, inhalation dose and health risk are 1.3 times higher in mining than in residential areas.     

Approaches and terminology for causal analysis in land systems science

Research into land and social-ecological systems science could benefit from improved clarity in the terminology used for causal analysis and a structured way to make causal inferences. Here I identify two aspects of causality, i.e. causal effects and causal mechanisms, and discuss explanation in historical sciences. I then propose definitions for the major terms used for causal relations, including driver, (spatial) determinant, location and contextual factor, proximate and underlying factors. Finally, I discuss the contribution of various operational approaches, including time series and counterfactual approaches for assessing causal effects and process-tracing approaches for establishing causal mechanisms. Having a coherent concept of causality, agreeing on a precise vocabulary and harnessing our tools with the clear purpose of establishing both causal effects and causal mechanisms should strengthen causal explanations for single cases, for drawing policy-relevant lessons and for theoretical development in relation to land and, more broadly, social-ecological systems processes.     

Optimal timing of carbon capture policies under learning-by-doing

Using a standard Hotelling model of resource exploitation, we determine the optimal energy consumption paths from three options: dirty coal, which is non-renewable and carbon-emitting; clean coal, which is also non-renewable but carbon-free thanks to carbon capture and storage (CCS); and solar energy, which is renewable and carbon-free. We assume that the atmospheric carbon stock cannot exceed an exogenously given ceiling. Taking into account learning-by-doing in CCS technology, we show the following results: (i) clean coal exploitation cannot begin before the outset of the carbon constrained phase and must stop strictly before the end of this phase; (ii) the energy price path can evolve non-monotonically over time; and (iii) when the solar cost is low enough, an unusual energy consumption sequence along with solar energy is interrupted for some time and replacement by clean coal may exist.