碳素纤维在近岸海洋污染物磷酸盐、硅酸盐处理中的应用

对碳素纤维进行氧化改性,利用改性后的碳素纤维处理近岸污染海水,重点研究了改性碳素纤维对海水中活性磷酸盐和活性硅酸盐的吸附作用。考察了碳素纤维液相改性时间、碳素纤维投加量、活性磷酸盐初始浓度、活性硅酸盐初始浓度、吸附时间、海况、pH值等单因素对近岸海洋污染物磷酸盐、硅酸盐吸附效果的影响。研究结果表明:改性碳素纤维对硅酸盐的吸附效果较好,去除率可达70%,对活性磷酸盐的去除率为31%左右。通过正交实验确定改性碳素纤维材料修复模拟近岸海水的优化条件为:碳素纤维改性时间为1.5 h,投加量为0.01 g,硅酸盐初始浓度为3mg/L,磷酸盐初始浓度为20 mg/L,海况为3级,pH值为8,吸附时间为3 h。在此条件下,碳素纤维对磷酸盐的去除率可达31.06%,硅酸盐去除率可达70.88%。     

Synergistic Interactions between Habitat Fragmentation and Fire in Evergreen Tropical Forests

Abstract: The growing prevalence of fragmentation and fire in tropical forests makes it imperative to quantify changes in these disturbances and to understand the ways in which they interact across the landscape. I used a multitemporal series of Landsat images to study the incidence and coincidence of fire and fragmentation in two areas of Pará state in the eastern Brazilian Amazon: Tailândia and Paragominase. In both areas, deforestation and forest fires were quantified for time series of 6–10 years. The Tailândia study area typifies a landscape with the herringbone pattern of government-settled colonists, and the Paragominas area is dominated by large cattle ranches. In both areas, over 90% of the forests affected by fire were associated with forest edges. Although most burned forest occurred within 500 m of forest edges, some fires occurred in deep forest, several kilometers from any edge. The obvious synergism between forest fragmentation and fire poses serious risks to tropical ecosystems and has important implications for land management.     

The economics of sequential choice applied to quasi-option value

This paper develops a general model that can be used to determine the value of sequential forecasts. The model is used (1) to examine the interacting effects of strategies for coping with environmental uncertainty, and (2) to explore the relationship between the theories of sequential choice and quasi-option value. The framework presented bridges these two schools of thought and provides a tool for evaluating one time (e.g., climate change) or repetitive (e.g., pollution) forecasts of environmental damage.     

Designing the next generation of climate adaptation research for development

Adaptation research has changed significantly in recent years as funders and researchers seek to encourage greater impact, ensure value for money and promote interdisciplinarity across the natural and social sciences. While these developments are inherently positive, they also bring fresh challenges. With this in mind, this paper presents an agenda for the next generation of climate adaptation research for development. The agenda is based on insights from a dialogue session held at the 2016 Adaptation Futures conference as well as drawing on the collective experience of the authors. We propose five key areas that need to be changed in order to meet the needs of future adaptation research, namely: increasing transparency and consultation in research design; encouraging innovation in the design and delivery of adaptation research programmes; demonstrating impact on the ground; addressing incentive structures; and promoting more effective brokering, knowledge management and learning. As new international funding initiatives start to take shape, we underscore the importance of learning from past experiences and scaling-up of successful innovations in research funding models.

     

二氧化氯消毒前后污水毒性的变化及消毒条件的影响

采用发光细菌试验和umu试验,分别考察了二氧化氯投加量和反应时间对污水二氧化氯消毒后急性毒性和遗传毒性变化的影响.结果表明,随着二氧化氯消毒剂投加量的增加,消毒后水样的急性毒性不断增大,但遗传毒性逐渐减小后趋于稳定.随着反应时间的延长,二氧化氯的消耗量不断增大,消毒后水样的急性毒性先增大后减小,遗传毒性逐渐减小后趋于稳定.由于消毒条件对污水急性毒性和遗传毒性有着不同的影响,说明污水中产生急性毒性和产生遗传毒性的物质不同,对于某一种污水,通过控制消毒条件可以使消毒后污水的急性毒性和遗传毒性都较低.     

中国地区多溴联苯醚在不同环境介质中的监测进展

多溴联苯醚(Polybrominated diphenyl ethers, PBDEs)为一类新型的溴代阻燃剂,广泛应用于塑料制品、纺织品、电路板和建筑材料等领域。随着生产量和使用量的增加,PBDEs已造成全球环境污染,其带来的环境问题已引起各国关注。同时PBDEs的长距离迁移性和难降解性,使其在环境介质中进行富集,从而加重污染。归纳了中国地区PBDEs的监测进展,分别从大气、水体、沉积物和土壤中PBDEs的污染水平以及原因进行了分析和探讨。在此基础上,对于我国PBDEs的研究方向提出了展望。     

Atmospheric deposition and storm induced runoff of heavy metals from different impermeable urban surfaces

Contaminants deposited on impermeable surfaces migrate to stormwater following rainfall events, but accurately quantifying their spatial and temporal yields useful for mitigation purposes is challenging. To overcome limitations in current sampling methods, a system was developed for rapid quantification of contaminant build-up and wash-off dynamics from different impervious surfaces. Thin boards constructed of concrete and two types of asphalt were deployed at different locations of a large carpark to capture spatially distributed contaminants from dry atmospheric deposition over specified periods of time. Following experimental exposure time, the boards were then placed under a rainfall simulator in the laboratory to generate contaminant runoff under controlled conditions. Single parameter effects including surface roughness and material composition, number of antecedent dry days, rain intensity, and water quality on contaminant build-up and wash-off yields could be investigated. The method was applied to quantify spatial differences in deposition rates of contaminants (TSS, zinc, copper and lead) at two locations varying in their distance to vehicle traffic. Results showed that boards exposed at an unused part of the carpark >50 m from vehicular traffic captured similar amounts of contaminants compared with boards that were exposed directly adjacent to the access route, indicating substantial atmospheric contaminant transport. Furthermore, differences in contaminant accumulation as a function of surface composition were observed. Runoff from asphalt boards yielded higher zinc loads compared with concrete surfaces, whereas runoff from concrete surfaces resulted in higher TSS concentrations attributed to its smoother surfaces. The application of this method enables relationships between individual contaminant behaviour and specific catchment characteristics to be investigated and provides a technique to derive site-specific build-up and wash-off functions required for modelling contaminant loads from impermeable surfaces.     

2003~2018年干旱对中国森林绿度异常的影响

基于卫星观测和气象再分析数据提取2003~2018年间中国森林绿度异常现象(月尺度LAI长期趋势的累积偏差), 并分析干旱对森林绿度异常影响的时空动态变化, 探究不同森林类型的干旱敏感性.结果表明: ①干旱导致的绿度异常现象频率分布呈现出南高北低的空间格局, 而高强度异常现象主要分布于中国的东北与西南地区.②2003~2018年间绿度异常严重程度呈现显著增加趋势(即绿度异常强度指数下降), 变化率为: -0.06/a(P<0.05), 而绿度异常面积比率下降, 变化率为-0.0049/a.③中国森林对干旱胁迫较为敏感的区域主要分布于云南北部与大兴安岭北部, 这是由区域的地质和气候特点以及植被类型共同作用导致的.④干旱主导区不同森林类型的干旱敏感性依次为: 阔叶林>针叶林>混交林, 绿度异常与SPEI回归斜率依次为1.8>1.3>1.2.⑤针叶林遭受的干旱强度最高, 2003~2018年间统计的SPEI中位数为-1.65, 绿度异常现象也最为严重, 多年绿度异常指数中位数为-1.81, 说明干旱强度而非敏感性主导了森林绿度异常的现象.