UniTank工艺流程中磷酸盐浓度的非稳态特征

利用ASM2D数学模型对上海石洞口污水厂UniTank工艺流程中磷酸盐浓度进行了仿真研究,发现该流程中磷酸盐浓度具有非稳态特征.增加反应器的曝气强度,会增加UniTank流程边池的硝态氮浓度,弱化边池的厌氧释磷,相应增加出水中磷酸盐含量.     

风浪扰动对太湖水体重金属形态的影响

对不同风浪条件下水体中的悬浮颗粒物,采用ICP-AES测定其中Co,Cr,Cu,Ni,Pb,Zn,Al,Fe和Mn不同形态的含量.研究表明,水体中Al,Fe,Co,Cr,Pb和Ni可提取态含量随风浪扰动程度的增强其含量均有不同程度的增大. Mn,Zn和Cu在7m·s-1风浪下含量最高,11m·s-1风浪次之,2m·s-1风浪最小.7m·s-1风浪与2m·s-1风浪相比,水体中Mn, Co, Cr, Zn, Cu和Ni的B1, B2, B3态含量增加3-20倍.11m·s-1风浪与7m·s-1风浪相比,Co, Cr和Ni的B1态含量分别增加31.1%-76.8%,Mn, Zn和Cu分别减少22.1%-38.6%; Cr,Zn和Ni的B2态含量增加12.1%-50.2%, Mn减少65.6%, Co和Cu的含量相当; Co和Ni的B3态含量增加15.4%-10.3%,Cr,Mn,Zn和Cu略微减少.水体中的金属主要以Fe-Mn氧化物结合态存在,且金属的三态比例随风浪的变化不明显. Mn的生物有效性最高,Zn,Cu和Ni次之,毒性较大的Pb和Cr的生物有效性较低.Al, Fe和Pb的Fe-Mn氧化物结合态比例非常高,约有74.56%-100%. Co,Cr和Ni的有机结合态比例较高,且Co和 Ni的三态比例比较均一,Cu的B3态较低.     

月湖底栖动物的空间格局及其对水草可恢复区的指示

底质适宜是富营养湖泊恢复沉水植物(水草)的重要前提。大型底栖动物可综合指示底质的污染程度,于2002~2003年在武汉月湖开展了底栖动物水平分布对水草可恢复区指示作用的研究。首先通过月湖底栖动物与环境的相关分析,选择颤蚓科寡毛类作为底质营养状况的指示类群,然后利用同类湖泊群颤蚓与水草数据分析阈值,初步确定颤蚓密度≤100 ind/m2的底质适合水草生长,最后绘制月湖颤蚓分布的水平等值线,显示水草恢复的合适区域。在此基础上构建了应用底栖动物空间格局指示水草恢复区的技术原理框架。     

武汉湖泊富营养化遥感调查与评价

利用武汉东湖各子湖多年可靠的地面监测资料和1999年9月Landsat-7的TM各波段的卫星遥感数据,建立了各子湖的营养状态指数与TMb5图像上的灰度值之间的线性关系模型,并运用该模型对武汉各湖泊进行富营养化评价。同时基于地面监测资料,用日本学者相崎守弘提出的修正富营养化指数法对武汉主要湖泊的富营养化程度进行评价。两种方法评价结果都显示,武汉大多数湖泊呈富营养化状态,一些湖泊已接近甚至达到极富营养化。在用两种方法同时评价的十个湖泊中,有四个湖泊的评价结果完全一致,其余的六个湖泊富营养化程度只相差一个级别。两种方法评价结果存在差异,可能有以下三个原因;（1）遥感方法反映了是图像所在时段的某一个区域上的平均值,营养化指数法反映的是若干个采样站的年平均值;（2）TM图像的获取时间比地面监测的时间晚;（3）遥感影像可能受到云、泥沙等悬浮物、高等水生植物以及湖泊水深等的影响。遥感评价结果与地面监测结果基本一致,利用遥感进行湖泊水体富营养化监测价是可行的,有效的,利用该方法可进行大范围的湖泊富营养化调查评价。     

长江三角洲地区耕地质量变化的初步研究——以锡山市为例

长江三角洲地区耕地质量变化的监测是区土地可持续利用研究的重点领域。锡山市位于太湖平原北部，其耕地质量变化过程反映了长江三角洲腹地经济发展水平较高地区的耕地现状和发展趋势。本研究以锡山市为典型区，依据第二次土壤普查资料，多年土壤监测数据和有关耕地系统状态的统计数据，结合研究区耕地状况的调查分析，提出了支持压力－状态－响应模型的耕地质量评价指标体系，并据此指标体系分析了该区耕地质量变化趋势。结果表明，该区耕地系统的发展总体上是可控的、有序的、但是耕地系统产出能力的稳定性呈下降趋势，系统高水平投入的维持面临较大的压力。鉴于人口增加和耕地持续减少的态势在很长一段时间内难以逆转，耕地占补的质量差异因素，是该区能否实现耕地总量动态平衡的关键所在。     

Welfare states and environmental states: a comparative analysis

A framework is presented for thinking about state intervention in developed capitalist economies in two domains: social policy and environmental policy (and, within that, climate-change policy). Five drivers of welfare state development are identified, the ‘five Is’ of Industrialisation: Interests, Institutions, Ideas/Ideologies, and International Influences. Research applying this framework to the postwar development of welfare states in the OECD is summarised, distinguishing two periods: up to 1980, and from 1980 to 2008. How far this framework can contribute to understanding the rise and differential patterns of environmental governance and intervention across advanced capitalist states since 1970 is explored, before briefly comparing and contrasting the determinants of welfare states and environmental states, identifying common drivers in both domains and regime-specific drivers in each. The same framework is then applied to developments since 2008 and into the near future, sketching two potential configurations and speculating on the conditions for closer, more integrated ‘eco-welfare states’.     

Characterising the landscape of state environmental review policies and procedures in the United States: a national assessment

Following the intent of the National Environmental Policy Act of 1969, many states have adopted policies and procedures directing state agencies and local government units to evaluate the potential environmental impacts of development projects prior to their undertaking. In contrast to a rich literature on federal requirements, current understanding of state environmental review is narrowly focused and outdated. This paper seeks to provide information on the landscape of state environmental review policy frameworks. The paper identifies 37 states with formal environmental review requirements through a document review of state statutes, administrative rules and agency-prepared materials, and confirms this finding through a survey of state administrators. A two-tier classification is used to distinguish states based on the approach taken to address environmental review needs and the scope and depth of relevant policies and procedures implemented. This paper also provides a discussion of policy and programme attributes that may contribute to effective practice, and of the potential for adopting relevant legislation in states where environmental review is currently lacking.     

玄武湖挺水植物区与敞水区浮游甲壳动物昼夜水平迁移初探

浮游甲壳动物昼夜垂直迁移(DVM)是深水湖泊中的一种常见的现象,在浅水湖泊中,没有明显的下层滞水层为浮游甲壳动物提供避护所,浮游甲壳动物的垂直迁移活动不明显。但浅水湖泊挺水植物的存在为浮游甲壳动物提供了区别于敞水带的生境,结合理化、浮游植物和鱼的因素,对浅水湖泊玄武湖挺水植物区与敞水区浮游甲壳动物的昼夜水平迁移进行了研究。结果得出：浅水湖泊玄武湖中理化环境（如温度、溶解氧和pH)在荷花区、敞水区、荷花区与敞水区的交界区差异不大,对浮游甲壳动物的昼夜水平迁移不起主导作用。荷花区的浮游植物在质量和数量上低于敞水区,浮游甲壳动物在夜间捕食压力小的情况下会向敞水区移动。敞水区、交界区浮游甲壳动物在白天被捕食的风险要大于荷花区,因而白天时间浮游甲壳动物会迁移到荷花区聚集.     

生态岛建设过程中环境类指标构建研究——以崇明岛为例

提出了将压力 状态 响应（PSR）模型与系统分析法理论集成起来构建生态岛建设过程中环境类指标的方法和步骤。指标构建过程分为4个步骤：（1）首先利用已有生态区域（岛）相关环境类指标确定备选指标集;（2）利用PSR模型对指标逻辑关系进行分析筛选;（3）以2010年为近期目标年,利用系统分析法确定指标核心要素,得到二次筛选指标;（4）以2030年为远期目标年,以综合性和动态性为依据确定最终指标。以上海市崇明岛为例,确定水、气、土为核心考核要素,构建了基于崇明生态岛建设过程的近期及远期目标的环境类考核指标体系。指标评价结果表明,崇明生态岛建设过程中环境类综合指数为72,其中环境压力指数、环境质量指数、环境保护指数分别为85、80和51,与崇明岛实际较为吻合。部分研究结果已在崇明岛生态建设过程中得到实际应用。     

Use of a food web model to evaluate the factors responsible for high PCB fish concentrations in Lake Ellasjøen, a high Arctic Lake

Background, aim, and scope

Lake Ellasjøen, located in the Norwegian high arctic, contains the highest concentrations of polychlorinated biphenyls (PCBs) ever recorded in fish and sediment from high arctic lakes, and concentrations are more than 10 times greater than in nearby Lake Øyangen. These elevated concentrations in Ellasjøen have been previously attributed, in part, to contaminant loadings from seabirds that use Ellasjøen, but not Øyangen, as a resting area. However, other factors, such as food web structure, organism growth rate, weight, lipid content, lake morphology, and nutrient inputs from the seabird guano, also differ between the two systems. The aim of this study is to evaluate the relative influence of these factors as explanatory variables for the higher PCB fish concentrations in Ellasjøen compared with Øyangen, using both a food web model and empirical data.

Methods

The model is based on previously developed models but parameterized for Lakes Ellasjøen and Øyangen using measured data wherever possible. The model was applied to five representative PCB congeners (PCB 105, 118, 138, 153, and 180) using measured sediment and water concentrations as input data and evaluated with previously collected food web data.

Results

Modeled concentrations are within a factor of two of measured concentrations in 60% and 40% of the cases in Lakes Ellasjøen and Øyangen, respectively, and within a factor of 10 in 100% of the cases in both lakes. In many cases, this is comparable to the variability associated with the data as well as the efficacy of the predictions of other food web model applications.

Discussion

We next used the model to quantify the relative importance of five major differences between Ellasjøen and Øyangen by replacing variables representing each of these factors in the Ellasjøen model with those from Øyangen, in separate simulations. The model predicts that the elevated PCB concentrations in Ellasjøen water and sediment account for 49%–58% of differences in modeled fish PCB concentrations between lakes. These elevated sediment and, to a lesser extent, water concentrations in Ellasjøen are due to PCB loadings from seabird guano. However, sediment–water fugacity ratios of PCBs are consistently greater in Ellasjøen compared with Øyangen, which suggests that internal lake processes also contribute to differences in sediment and water concentrations. We hypothesize that the nutrients associated with guano influence sediment–water fugacity ratios of PCBs by increasing the stock of pelagic algae. As both these algae and the guano settle, their organic carbon content is degraded faster than PCBs, which causes an extra magnification step in Ellasjøen before these detrital particles are consumed by benthic organisms, which are in turn consumed by fish. The model predicts that the remaining ～50% of the differences in PCB concentrations observed between the fish of these lakes are due to other subtle differences in their food web structures.

Conclusions

In conclusion, based on the results of a food web model, we found that the most dominant factors influencing the higher PCB fish concentrations in Lake Ellasjøen compared with Øyangen are the higher sediment and water concentrations in Ellasjøen, caused by seabird guano. Together, sediment and water are predicted to account for 49%–58% of differences in fish concentrations between lakes. Although seabird guano provides a source of nutrients to the lake, in addition to contaminants, empirical data and indirect model results suggest that nutrients are not leading to decreased bioaccumulation, in contrast to what has been observed in temperate, pelagic food webs.

Recommendations and perspectives

The results of this study emphasize the importance of considering even small differences in food web structure when comparing bioaccumulation in two lakes; although the food web structures of Ellasjøen and Øyangen differ only slightly, the model predicts that these differences account for most of the remaining ～50% of the differences in PCB fish concentrations between the two lakes. This study further demonstrates the utility of food web models as we were able to predict and tease apart the influence of various factors responsible for the elevated concentrations in the fish from Lake Ellasjøen, which would have been difficult using the field data alone.