Fish consumption reduces transfer of BDE47 from dam to murine offspring

Fish and seafood are important contributions to a healthy diet, but also contain persistent organic pollutants (POPs) like polybrominated diphenylethers (PBDEs) and polychlorinated biphenyls (PCBs). Discrepancies have been found between intake and accumulated levels of POPs, where fish consumers have had similar levels of POPs to the general population. Similarly fish oil consumption has been found to reduce accumulation of POPs. This study examined the accumulation of BDE47 or PCB153 in mice fed diets with different nutritional composition, using female mice with pre-weanling pups exposed through gestation and lactation. A fish-based diet was compared to a standard casein-based rodent diet. All diets had low background levels of environmental contaminants and were spiked with BDE47 or PCB153 to levels representing a realistic (∼0.004 μmol kgbw⁻¹ d) or a high dietary exposure (∼1.3 μmol kgbw⁻¹ d). Accumulation of BDE47 or PCB153 in offspring tissues after 18 d lactation reflected the maternal exposure levels. However, the pups of dams fed a fish-based diet had consistently lower BDE47 accumulation in liver, fat and stomach than pups from casein-fed dams. Similarly the pups of dams fed a high dose of PCB153 in a fish diet also accumulated less PCB153 than pups of the dams fed a casein diet, although not significant. In conclusion, the fish based diets seemed to reduce transfer of BDE47 and PCB153 from dams to pups. The study highlights that in-depth knowledge about nutritional impact on toxicokinetics is of great interest to vulnerable consumers.     

中国水资源利用效率区域差异及影响因素研究

科学客观评价我国水资源利用效率的区域差异并探讨影响区域效率的因素是备受关注的问题.本文在全要素生产框架下利用基于投入导向的数据包络分析模型,以水资源、资本和劳动力为投入,以GDP为产出,采用省级数据计算我国1998-2008年水资源利用效率.结果显示,在研究时段内我国水资源利用效率总体上呈现出先下降后上升的趋势,并且从2008年开始水资源利用效率明显下降.在空间上,我国东、中、西部水资源利用效率处于三个明显不同级别,东部省份水资源利用效率最高,平均水平为0.8左右,其次是中部,平均水平为0.6左右,西部水资源利用效率最低,平均水平为0.4左右.进一步的回归分析发现,产业结构、进出口需求以及地区水资源禀赋对水资源利用效率均有显著影响.     

玉溪市未来人口预测三种模型的分析

人口问题是一个国家或地区可持续发展的前提。人口规模是否合理,对一个国家或地区未来的经济、社会和生态环境可持续发展影响深远。运用马尔萨斯人口模型、Logistic增长模型和线性函数三种理论模型,利用《玉溪市统计年鉴》统计数据对玉溪市2010—2020年的人口发展规模做出预测,预测结果显示3种模型均取得了较好的模拟效果。Logistic增长模型的预测值最小,故采用其预测值作为预测结果。     

中国交通基础设施与经济增长的关系实证

交通基础设施通过乘数效应、旅行效应和外部效应促进经济增长,经济增长是交通基础设施需求增加和规划建设的重要前提.使用中国1952 -2006年相关统计数据,以GDP衡量经济增长,以公路铁路运营里程和货运量衡量交通基础设施,基于协整理论和Granger因果检验方法,分析得出交通基础设施与经济增长间存在长期均衡关系,前者是后者的Granger原因,反之不成立;引入Cobb - Douglas生产函数建立回归模型,采用主成分回归法修正最小二乘回归模型易受多重共线性影响的缺点,发现交通基础设施对经济增长具有显著的促进作用,且公路交通基础设施对经济增长的贡献率显著大于铁路交通基础设施;以1978年为时间断点,运用虚拟变量法,检验样本期内交通基础设施对经济增长影响是否发生结构性变化,发现1978年前后交通基础设施对经济增长的促进作用统计上相同.     

中国30个地区环境技术创新能力分类特征

区域环境技术创新能力是决定区域产业发展水平、经济实力增长的关键,是区域可持续竞争优势的源泉.本文通过搜集环境技术创新投入、产出与关联的相关变量和数据;利用Q型聚类方法,提取最具代表性的变量指标;然后对缩减后的变量作因子分析,提取主成分,随之,按照各区域的主成分值进行聚类,确定各区域所属类别,并采用判别分析方法,对各区域所属类别进行检验、调整.结果显示:第一类地区主要包括海南在内的经济发展较为落后、生态环境遭受破坏相对较少的我国西部地区;第二类地区主要集中在技术引进与吸收能力强、区域内企业实力强、人力资本积聚能力强的东部和中部地区;第三类地区主要集中在我国农业产业发展历史悠久,但随着农业向工业快速发展,所遭受的环境破坏也愈发严重的中部地区;第四类地区主要包括辽宁、四川等我国工业制造业最集中和发达的地区;第五类地区则是我国市场经济发展最完善、环保方面的经济活动表现相对较优的东南沿海地区.最后,结合各类别地区环境技术创新的实际状况与原因,针对性地提出对策,为提升各区域环境技术创新能力提供参考.     

Assessment Tools for Urban Catchments: Developing Biological Indicators Based on Benthic Macroinvertebrates1

Abstract: Biological indicators, particularly benthic macroinvertebrates, are widely used and effective measures of the impact of urbanization on stream ecosystems. A multimetric biological index of urbanization was developed using a large benthic macroinvertebrate dataset (n = 1,835) from the Baltimore, Maryland, metropolitan area and then validated with datasets from Cleveland, Ohio (n = 79); San Jose, California (n = 85); and a different subset of the Baltimore data (n = 85). The biological metrics used to develop the multimetric index were selected using several criteria and were required to represent ecological attributes of macroinvertebrate assemblages including taxonomic composition and richness (number of taxa in the insect orders of Ephemeroptera, Plecoptera, and Trichoptera), functional feeding group (number of taxa designated as filterers), and habit (percent of individuals which cling to the substrate). Quantile regression was used to select metrics and characterize the relationship between the final biological index and an urban gradient (composed of population density, road density, and urban land use). Although more complex biological indices exist, this simplified multimetric index showed a consistent relationship between biological indicators and urban conditions (as measured by quantile regression) in three climatic regions of the United States and can serve as an assessment tool for environmental managers to prioritize urban stream sites for restoration and protection.     

次级河流回水区叶绿素a与影响因子的多元分析——以临江河为例

为了对次级河流回水区富营养化进行深入研究,把长江次级河流之一的临江河回水区为研究对象,根据2007年10月至2008年9月临江河回水区中游叶绿素a含量及其水质理化指标的监测数据,分析了临其叶绿素a浓度的时间分布,对叶绿素a浓度及影响因子进行相关分析,找出与叶绿素a显著相关的环境因子并建立多元逐步回归模型。结果表明：临江河回水区叶绿素a浓度峰值主要集中在5月上旬至9月下旬,变化范围为227～661 mg/m3。临江河回水区叶绿素a浓度变化受多个环境因子共同影响,与水温、流速、透明度、COD、总磷之间显著相关,而与总氮相关性不显著。经过叶绿素a及其影响因子的相关分析,建立了以水温、流速和总磷为自变量,叶绿素a浓度为应变量的逐步线性回归模型,模型初步验证结果表明：多元逐步回归模型可以用来描述临江河回水区叶绿素a浓度的变化。通过对临江河回水区叶绿素a及其影响因子的分析,控制临江河回水区水体中磷含量应是其富营养化防治工作的重点,防治工作应主要在春末和整个夏季,尤其是在5、6月份。     

CEPT-曝气生物滤池低温下处理模拟灰水的应用研究

实验研究了在冬季低温条件（2～10℃）下,化学温凝预处理曝气生物滤池(CEPT/BAF)工艺处理模拟灰水的效果。考查了混凝预处理效果、BAF的出水水质与滤料高度的关系、水力负荷对出水COD的影响、直链烷烃苯磺酸钠(LAS)对出水NH₃-N等的影响。研究表明：经过预处理(PAC为40 mg/L)后的模拟灰水,BAF的有机负荷去除率达到40%～55%;COD、LAS的去除主要发生在滤料前端1.2 m处,去除率达到70%,去除率与滤料高度近似呈指数关系下降;在COD负荷、水力负荷不变的情况下,当进水LAS从23 mg/L降到9 mg/L时,BAF的NH₃-N的去除率则从41%上升到72%,说明较高浓度的LAS对亚硝化及硝化细菌有一定影响。模拟灰水经过化学混凝/曝气生物滤池处理之后,出水水质NH₃-N、COD和LAS分别在10、40和4 mg/L以下。     

TiO_2光催化同时脱硫脱硝效率影响因素研究

基于多元线性回归,对TiO2光催化同时脱硫、脱硝效率进行了预测研究.在最佳实验条件下,预测了不同SO2和NOx浓度的光催化脱除效率.依据正交试验结果,确定了最佳运行工况,将温度、湿度、SO2和NOx浓度对同时脱硫、脱硝效果的影响程度划分为3个等级,在此基础上有针对性地提出了可行措施.     

Human-caused wildfire risk rating for prevention planning in Spain

This paper identifies human factors associated with high forest fire risk in Spain and analyses the spatial distribution of fire occurrence in the country. The spatial units were 6,066 municipalities of the Spanish peninsular territory and Balearic Islands. The study covered a 13-year series of fire occurrence data. One hundred and eight variables were generated and input to a dedicated Geographic Information System (GIS) to model different factors related to fire ignition. After exploratory analysis, 29 were selected to build a predictive model of human fire ignition using logistic regression analysis. The binary model estimated the probability of high or low occurrence of forest fires, as defined by an ignition danger index that is currently used by the Spanish forest service (number of fires divided by forest area in each municipality). Thirteen explanatory variables were identified by the model. They were related to agricultural landscape fragmentation, agricultural abandonment and development processes. The prediction agreement found between the model binary outputs and the historical fire data was 85.3% for the model building dataset (60% of municipalities). A slightly lower predictive power (76.2%) was found for the validation data (the remaining 40%). The probabilistic output of the logistic was significantly related to the raw ignition index (Spearman correlation of 0.710) used by the Spanish Forest Service. Therefore, the model can be considered a good predictor of human-caused fire risk, aiding spatial decisions related to prevention planning in Spanish municipalities.