Airborne foliar transfer of particular metals in Lactuca sativa L.: translocation,phytotoxicity, and bioaccessibility

The uptake, translocation, and human bioaccessibility of metals originating from atmospheric fine particulate matters (PM) after foliar exposure is not well understood. Lettuce (Lactuca sativa L.) plants were exposed to micronic PbO, CuO, and CdO particulate matters (PMs) by the foliar pathway and mature plants (6 weeks old) were analyzed in terms of: (1) metal accumulation and localization on plant leaf surface, and metal translocation factor (TF) and global enrichment factor (GEF) in the plants; (2) shoot growth, plant dry weight (DW), net photosynthesis (Pn), stomatal conductance (Gs), and fatty acid ratio; (3) metal bioaccessibility in the plants and soil; and (4) the hazard quotient (HQ) associated with consumption of contaminated plants. Substantial levels of metals were observed in the directly exposed edible leaves and newly formed leaves of lettuce, highlighting both the possible metal transfers throughout the plant and the potential for human exposure after plant ingestion. No significant changes were observed in plant biomass after exposure to PbO, CuO, and CdO-PMs. The Gs and fatty acid ratio were increased in leaves after metal exposure. A dilution effect after foliar uptake was suggested which could alleviate metal phytotoxicity to some degree. However, plant shoot growth and Pn were inhibited when the plants are exposed to PbO, and necrosis enriched with Cd was observed on the leaf surface. Gastric bioaccessibility of plant leaves is ranked: Cd?>?Cu?>?Pb. Our results highlight a serious health risk of PbO, CuO, and CdO-PMs associated with consumption of vegetables exposed to these metals, even in newly formed leaves in the case of PbO and CdO exposure. Finally, the study highlights the fate and toxicity of metal rich-PMs, especially in the highly populated urban areas which are increasingly cultivated to promote local food.

     

Levels and distribution of Dechloranes in sediments of Lake Taihu,China

The occurrence and spatial distribution of dechloranes including mirex, dechlorane plus (DP), dechlorane (Dec) 602, Dec 603, and Dec 604 in surficial sediments of Lake Taihu were investigated in this study. The concentrations of mirex and DP ranged from below detection limit (BDL) to 1.29 ng g^?1 dw and 0.051 to 2.10 ng g^?1 dw, respectively. Dec 602, Dec 603, and Dec 604 on the other hand, were BDL in any of the samples. The contamination levels of DP were higher than that of Mirex at 21 of all 22 sampling sites. Levels of mirex and DP in the lake sediments were correlated when an extremely high mirex value was removed. Both mirex and DP levels were correlated with the amount of organic matters in the sediment samples. Spatial distribution of mirex and DP suggested that these two chemicals in the lake had similar input sources except for one site. Comparison to previously reported flame retardants’ levels in the sediments shows that DP levels were similar with the levels of tetrabromobisphenol A, hexabromocyclododecane but lower than PBDEs and organophosphates levels in Lake Taihu. The higher levels in the north-east part of Lake Taihu adjacent to two major cities: Wuxi and Suzhou, indicated that city effluent might be a major source for DP contamination in the lake.     

不同生育期遮荫对番茄氮素分配的影响

以番茄为材料，研究了不同生长阶段(开花早期、盛花期和开花后期)夏季午间不同光照强度(不遮荫，40％遮荫和75％遮荫)对氮素在番茄各器官中分配的影响。结果显示，遮荫不影响开花早期和盛花期叶片氮的含量及其分配效应，但40％遮荫使开花后期叶片中氮的含量增加，叶、茎、茬中氮的分配指数高于开花早期和盛花期。这表明，在开花后期适度遮荫有利于氮优先分配给叶组织，改善番茄氮素状况，增加开花后期番茄的经济产量，在设施栽培中具有一定实际意义。图3表1参21。     

人口增长胁迫下的全球土地利用变化研究

人口和耕地、草地、森林４个因子构成一个理论上以人为中心的全球人地关系系统,在这个系统中,人口总量的变动势必引起耕地、草地和森林面积的数量增减和相互转化。该文构建了一个简单的人-地关系平衡模型,对１９７０～１９９５年和未来５０年全球人口增长胁迫下土地利用变化进行了分析。结果表明：①全球２５年来,在人口增长了５４６％的情况下,耕地面积和草地面积并没有大幅度增减。维持相对稳定的机制是以扩大灌溉面积和大量投入化肥为标志的农业技术进步使土地生产率提高了６３９％,从而抵消了人口增长胁迫耕地面积增加、草地和森林面积相应减少的压力。②未来５０年当中,人口将增加７４％,达到１００×１０^８,人均耕地、草场和森林面积将分别减少到低于０１３ｈｍ^２、０３４ｈｍ^２和０３７ｈｍ^２,在此情况下,由于将耕地面积扩大７４％不大可能,现有全球土地利用（覆盖）格局能否保持稳定的关键是依靠农业技术进步使耕地生产率提高７４％以上。③由于在原有维持土地覆盖变化相对稳定的机制中,扩大灌溉面积和大量投入化肥在未来难以继续发挥作用以提高土地生产率,假定现有耕地面积保持不变,现有耕地生产率水平不变,到２０５０年,耕地仍能养活比届时地球上预测生存人口还     

基于机器学习的电热防除冰表面温度变化趋势预测

针对飞机部件周期控制律电加热防除冰的应用,提出基于机器学习以预测电加热防除冰表面温度的变化趋势.依靠大型结冰风洞及其电加热防除冰控制系统完成防除冰试验,获得有效的试验数据,以通、断电周期为分割单元,将试验数据划分成验证集和训练集.根据电热防除冰过程的换热情况,构建样本的特征参数,利用机器学习的有监督学习方式,选择KNN近邻回归算法和局部线性加权回归算法预测温度变化率,再转换为温度,得到的温度变化与测量数据的线性相关性达到80％以上的高相似度结果,表明使用机器学习可快速预测电热防除冰部件的表面温度变化趋势,且不同的回归算法针对模型不同测温点位置的预测效果存在差异.     

城市生活垃圾渗透系数测试研究

采用常水头测渗实验，对不同压实密度和水力梯度下的新鲜垃圾与陈垃圾的渗透系数进行测试，根据达西定律求得渗透系数值。由于垃圾的不均匀性、小颗粒的运动和大孔隙沟道流的形成和改变，实验初始阶段渗透系数值先增大至峰值，然后缓慢降低直至趋于稳定。实验稳定后，新鲜垃圾压实密度为0．75—0．95t／m^3时，渗透系数值约为1．26E-03～1．43E-03cm／s。陈垃圾在压实密度分别为1．2和1．4t／m^3时，渗透系数为8．29E-04和1．35E-04cm／s。     

沼气净化脱硫工艺的研究进展

脱硫是沼气高效利用的重要环节。本文对传统的湿法和干法沼气脱硫主要技术方法和特点进行了综述,重点介绍了国内外间接脱硫和生物脱硫的最新研究进展,并结合我国沼气应用现状,提出了我国沼气净化脱硫的发展方向。     

化工园区企业环境适宜度评价研究初探

本研究在阐明化工园区企业环境适宜度评价研究目的的基础上,根据化工园区的特点,采用层次分析法,构建了由经济、物质消耗、污染物排放、管理、社会、辅助6个领域、24个分项、96个单项评价因子组成的评价指标体系,并在具体的规划环评工作实践中确定了各级评价指标、评价指标计算数学模式以及评价结果综合评级方法,为化工园区企业环境综合整治提供了技术依据。本指标体系基本上涵盖了化工区企业与环境关联的主要方面,可以比较全面、客观地对化工园区企业的环境适宜度作出评判。     

陕西省山地日照时间的空间分布特征

基于100 m×100 m分辨率的DEM数据,根据太阳光线与起伏地形之间的几何关系,全面考虑坡度、坡向、地形遮蔽等地形因子对可照时间的影响,通过数值模拟,确定山区可照时间计算模型;同时利用常规气象站资料考虑大气对日照时间的影响,建立陕西省山区日照时间估算模型。采用交叉验证和个例年分析法进行模型验证,模型的精度和稳定性均较好。通过模型计算陕西省100 m×100 m分辨率各月可照时间、气候平均日照时间的空间分布。结果表明:局地地形对日照时间空间分布影响比较明显,山区可照时间与同纬度平地相比明显差异,表现出可照时间的非地带性分布特征;尤以冬季地形作用最显著;夏季影响最弱;同时年日照时间呈现出北高南低的空间分布特征,但局地地形因子的影响依然存在。最后详细探讨了坡度、坡向、地形遮蔽等因子对山区日照时间的局地影响规律。