利用LUR模型模拟杭州市PM2.5质量浓度空间分布

模拟城市大气污染物浓度空间分布对研究城市空气质量及人体健康至关重要.本研究利用土地利用回归模型(Land Use Regression,LUR),提取包括污染点源因子、交通因子、人口因子、土地利用因子和气象因子等60个预测因子,基于地理加权算法(GWR)建立春、夏、秋、冬四个季节的模型,实现对杭州地区近地表PM_(2.5)质量浓度空间分布的预测.结果表明:基于地理加权回归算法时,检验模型的R2值分别达到0.76(春季)、0.70(夏季)、0.73(秋季)、0.76(冬季),模型能够解释PM_(2.5)浓度值80%以上的变异.每个季度杭州地区PM_(2.5)浓度变化不尽相同,但总体以杭州中部最高,西南部偏低.研究说明基于LUR模型模拟大尺度地区PM_(2.5)质量浓度空间分布是可行的.     

Estimation of pyrethroid pesticide intake using regression modeling of food groups based on composite dietary samples

Population-based estimates of pesticide intake are needed to characterize exposure for particular demographic groups based on their dietary behaviors. Regression modeling performed on measurements of selected pesticides in composited duplicate diet samples allowed (1) estimation of pesticide intakes for a defined demographic community, and (2) comparison of dietary pesticide intakes between the composite and individual samples. Extant databases were useful for assigning individual samples to composites, but they could not provide the breadth of information needed to facilitate measurable levels in every composite. Composite sample measurements were found to be good predictors of pyrethroid pesticide levels in their individual sample constituents where sufficient measurements are available above the method detection limit. Statistical inference shows little evidence of differences between individual and composite measurements and suggests that regression modeling of food groups based on composite dietary samples may provide an effective tool for estimating dietary pesticide intake for a defined population.     

Dust ignition of pure and encapsulated paraffin phase change materials

In this study, the dependence of the flammable concentration on particle size is investigated for Phase Change Material (PCM) and Encapsulated Phase Change Material (EPCM) particles using a novel continuous particle dispersion apparatus into which a propane flame is introduced creating a test akin to the flash-point test for liquids. The results show that the threshold concentration is a strong function of particle size. For tested particles with size ranging from 290 μm to 750 μm, the threshold concentration is above the predictions based on an instantaneous heat transfer limit, and is approximately linear with the particle size, following a heat transfer limited ignition model. For sizes above ≈1 mm, the particles behave like the bulk material, and ignition is not observed for the concentrations tested. The results obtained here are important for the safe construction, handling, and operation of systems using PCM and other particles.     

Herbicide Transport in Goodwater Creek ExperimentalWatershed: I. Long‐Term Research on Atrazine1

Lerch, R.N., E.J. Sadler, K.A. Sudduth, C. Baffaut, and N.R. Kitchen, 2010. Herbicide Transport in Goodwater Creek Experimental Watershed: I. Long‐Term Research on Atrazine. Journal of the American Water Resources Association (JAWRA) 1‐15. DOI: 10.1111/j.1752‐1688.2010.00503.x Abstract: Atrazine continues to be the herbicide of greatest concern relative to contamination of surface waters in the United States (U.S.). The objectives of this study were to analyze trends in atrazine concentration and load in Goodwater Creek Experimental Watershed (GCEW) from 1992 to 2006, and to conduct a retrospective assessment of the potential aquatic ecosystem impacts caused by atrazine contamination. Located within the Central Claypan Region of northeastern Missouri, GCEW encompasses 72.5 km² of predominantly agricultural land uses, with an average of 21% of the watershed in corn and sorghum. Flow‐weighted runoff and weekly base‐flow grab samples were collected at the outlet to GCEW and analyzed for atrazine. Cumulative frequency diagrams and linear regression analyses generally showed no significant time trends for atrazine concentration or load. Relative annual loads varied from 0.56 to 14% of the applied atrazine, with a median of 5.9%. A cumulative vulnerability index, which takes into account the interactions between herbicide application, surface runoff events, and atrazine dissipation kinetics, explained 63% of the variation in annual atrazine loads. Based on criteria established by the U.S. Environmental Protection Agency, atrazine reached concentrations considered harmful to aquatic ecosystems in 10 of 15 years. Because of its vulnerability, atrazine registrants will be required to work with farmers in GCEW to implement practices that reduce atrazine transport.     

Most Influential Parameters for the Bed-Load Sediment Flux Equations Used in Alluvial Rivers1

Khorram, Saeed and Mustafa Ergil, 2010. Most Influential Parameters for the Bed-Load Sediment Flux Equations Used in Alluvial Rivers. Journal of the American Water Resources Association (JAWRA): 46(6):1065–1090. DOI: 10.1111/j.1752-1688.2010.00468.x Abstract: Problems of bed-load sediment transport equations in alluvial rivers are addressed in this study where user-friendly parameters were developed. To determine the influences of 300 parameters on the final result, 52 selected bed-load equations for noncohesive particles (sand and gravel separately) were gathered and individually investigated. The influences of discrepancies among the computed and measured datasets were obtained by sensitivity analysis through multilinear regression method. The most influential parameters for the bed-load sediment flux equations used to describe sand particles in alluvial rivers are: the gravitational power due to Shields’ parameter with an energy slope, the universal stream power due to critical Shields’ parameter with an energy slope, the Shields’ parameter ratio, the critical unit stream power, and the Shields’ parameter with energy slope. For gravel particles, the most influential parameters are: the universal stream power due to critical Shields’ parameter with an energy slope, the Shields’ parameter ratio, the gravitational power due to Shields’ parameter with an energy slope, the Shields’ parameter with an energy slope, and the Froude number of the channel. It is expected that researchers working in this field will be able to use these predicted parameters to generate new bed-load sediment flux equations that give results that more closely agree with the actual values measured in alluvial rivers.     

Practitioner insights as a means of setting a context for conservation

A key obstacle to conservation success is the tendency of conservation professionals to tackle each challenge individually rather than collectively and in context. We sought to prioritize barriers to conservation previously described in the conservation literature. We undertook an online survey of 154 practitioners from over 70 countries to ascertain the most important barriers to conservation they faced. We used statistical analyses to identify the key impediments to conservation success and to examine whether these were affected by organizational attributes. Twenty-one barriers were identified. The importance ascribed to those was influenced by continent of operation and organization size, but not by organization age or autonomy (from larger parent organizations). We found the most important barriers to consider when undertaking conservation action were wider issues (e.g., population growth, consumerism, favoring development, and industrial-scale activity), operating environment (e.g., lack of political will, ineffective law enforcement, weak governments, corruption, safety and security), community attributes (e.g., dynamics, conflicts, and education levels), and the way conservation is undertaken (overconfidence, lack of funding, and externally set agendas). However, we advise against applying a one-size-fits-all approach. We propose that conservationists account for the complex socioecological systems they operate in if they are to achieve success.     

Predicting Freshwater Critical Loads from Catchment Characteristics using National Datasets

Maps of freshwater critical loads are used toguide emission strategies for sulphur and nitrogen bothnationally and internationally. Water chemistry data arerequired to calculate critical loads and the production ofnational maps therefore relies on the existence of extensivechemistry datasets. However, the data required to calculatecritical loads are not readily available for all sites. Thisarticle explores how empirical statistical models mightpotentially be used to predict critical loads using nationallyavailable datasets representing a range of catchmentcharacteristics. Initially a global regression model forexplaining freshwater critical load variation across a broadspectrum of catchment types (from lowland agricultural tomountain lakes) throughout mainland Britain is described. Whenattention is focused on more specific catchment types (i.e.upland and non-arable) it is shown that the global model hasless explanatory power. A regionalisation of Great Britain(based on 100 km grid squares) shows that the global modelcannot necessarily be applied successfully within a narrowerregional context. Separate analyses were undertaken on each ofthe regional subsets using backward selection regression. Thevariables emerging as significant predictors variedsubstantially across the regions, as did the explanatory powerof the models. This was also the case when the analysis wasconfined to upland and non-arable catchments. This approachcould be developed so that critical loads assessments can bemade for populations of standing waters rather than simplythose for which water chemistry is available.     

北京市交通路口大气颗粒物污染特征研究(Ⅰ)——大气颗粒物污染特征及其影响因素

研究了北京市典型交通路口大气颗粒物的污染特征及影响因素.于2000年6月在北京市主要交通路口之一的崇文门路口,采集了大气中不同粒径的颗粒物样品,并进行了颗粒物质量浓度、离子浓度和元素质量浓度的分析,同时进行了样品采集期间机动车流量调查.研究结果表明,6月5日大气颗粒物污染严重.6月6日0∶10-3∶50,ρ(PM_2.5)达到最高值.崇文门路口的大气颗粒物污染水平与机动车流量之间无明显的对应关系.交通来源颗粒物是影响交通路口污染水平的首要因素,颗粒物中Al,Ca,Fe和Mg等元素主要来自机动车行驶载带的道路可扬尘,而Cu,Pb等元素主要来自机动车的排放.还指出了今后进行该类研究的主要方向和技术思路.      

绿色大学建设中的生态足迹

生态足迹分析法是评价绿色大学建设水平最好的指标之一.生态足迹分析法有综合法和成分法2种.本文简要介绍了生态足迹成分法的基本原理和算法,并以东北大学为例将该方法应用大学校园的研究.结果表明,东北大学2003年的生态足迹为24787hm2,即需要约25000hm²的生态生产性土地支持学校的各类消费并吸纳所产生的废弃物.其生态效率(即单位生态生产性土地可支持的学生数)为0.94人·hm^-2.生态足迹中,能源消费的足迹最大,占总足迹的2/3多;食物消费和固态垃圾次之,分别占总足迹的21.9%和5.7%.     

废旧电路板的组成与解离特性研究

废旧印刷电路板是电子废弃物的重要组成部分,含有大量金属、玻璃纤维增强树脂、塑料等有回收利用价值的组分,但处理不当会产生严重污染。在分析中,对细碎到粒度为5mm以下的废旧电路板物料中有价资源的赋存状态和解离特性进行了系统的研究,发现金属与非金属的基本解离粒度为1 2mm,解离度为55. 51%;塑料与其他金属(除铜、铁外)是0. 5mm以上废旧电路板物料中的主要组分,树脂与铜是0 .5mm以下物料中的主要组分;物料中平均金属含量为23. 80%,平均铜含量为5. 78%。