海水中二甲基硫测定方法的研究

二甲基硫（ＤＭＳ）是雨水天然酸性的贡献者和影响气候变化的重要痕量气体，本文海水中ＤＭＳ测定方法，即采用冷却预浓缩技术处理海水样品，用带有火焰光度检测器气相色谱仪分析，此方法的精密度为１２％，准确度为１０％，对１００ｍｌ海水样品最小检测量为０．０５４ｎｇ（ＤＭＳ）。同时对色谱柱的选取，实验材料的选择，浓缩柱填充材料的选择，鼓气效率，干燥管，样品解析，样品保存等有关实验步骤进行了讨论。     

衍生化气相色谱法测定黄磷诱发氧化水中苯酚降解产物

利用衍生化气相色谱法对黄磷诱发氧化苯酚降解产物进行了研究，在磷酸存在下，以甲醇作酯类衍行生试剂，分别和ＳＥ－５２和ＨＰ－１７石英毛细管双柱结合ＧＣ－ＭＳ进行分离定性定量，黄磷诱发氧化苯酚降解产物以羧酸为主，在反应温度５０℃时，表现为一级反应特征，速率常数（Ｋ）：０．０７７ｍｉｎ＾－１，半衰期（ｔ１／２）：９．０ｍｉｎ。     

溶胶-凝胶法制备磁载光催化剂

悬浮态的光催化反应器相比固载的光催化反应器有更高的光催化效率。但是如何在光催化反应完成后使催化剂与水溶液的分离 ,成为了一个关键的问题。本研究采用溶胶 凝胶法将二氧化钛直接沉积在磁性颗粒的表面 ,制备出了磁载的光催化剂。这种催化剂在保留了磁性能具有可磁分离的基础上又具有很好的光催化降解效果。     

车内空气中挥发性有机物的研究

采用热脱附-气相色谱/质谱联用法对4辆处于静止状态下的车辆内部空气中挥发性有机物（VOCs）进行了研究,共定性检出了48种有机物,其中C6～C9之间的组分较多;并对VOCs的总浓度进行了定量,1#～4#车分别为1846、2289、1104和3146 μg/m^3;其中BTEX占VOCs总量的20%～30%;车内VOCs浓度与温度及车辆使用年限密切相关.     

氯化铁和硫酸铁对酸性土壤中有效态镉和铅污染的修复作用

采用浸泡实验法研究了氯化铁和硫酸铁对酸性土壤中有效态镉和铅污染的修复效果,结果表明,氯化铁和硫酸铁均能有效去除土壤有效态镉和铅污染,Fe(Ⅲ)用量为50~100 mmol/kg时,有效态Cd和Pb的去除效果可达70%~96%。氯化铁和硫酸铁能去除土壤中的水溶态、碳酸盐结合态、腐殖酸结合态、铁锰氧化物结合态和强有机结合态Cd和Pb及交换态Cd。氯化铁和硫酸铁对Cd均既有洗脱修复作用又有固定修复作用,且洗脱修复作用的贡献稍大;氯化铁用量较小时(50 mmol/kg)对Pb既有固定修复又有洗脱修复作用,固定修复作用稍大;用量较大时(100 mmol /kg),对Pb只有洗脱修复作用。硫酸铁对Pb的修复作用则以固定修复作用为主,洗脱修复作用很小。     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

Biodegradability of organic substances by ATP test

The aerobic biodegradability of organic substances in water is characterized by determination of energy change ‐ ATP content in microbial cells during biodegradation. A satisfactory result is obtained under the following conditions: the initial concentration of tested substance is 100mg/l (as DOC), the amount of the inoculum in the biological medium is 500mg/l (as MLSS), and the duration of test time is 14 days. The evaluating system (peak time, peak height and IA index) is proposed to assess the biodegradability of 46 organic compounds and 7 wastewaters.     

A GIS-based moving window analysis of landscape pattern in the Beijing metropolitan area,China

Quantifying landscape pattern and its change is essential for monitoring and assessment of ecological consequences of urbanization. Using the GIS-based land-use data for 2002, we combined moving window analysis along an urban-rural gradient and around the urban centre with landscape metrics to quantify the spatial pattern of urbanization in Beijing. The results of moving window analysis along the urban-rural gradient indicated that, for class-level metrics, the spatial pattern of urbanization could be quantified using landscape metrics, different land-use types exhibited distinctive spatial signatures, and, for landscape-level metrics, the increase in urbanization in the metropolitan Beijing region has resulted in dramatic increases in patch density (PD), edge density (ED), and patch and landscape shape complexity, and sharp decreases in the largest and mean patch size (MPS), agriculture land-use type, and landscape connectivity. The results of moving window analysis around the urban centre showed that the direction of urbanization could be quantified using the class-level metrics, and landscape-level metrics indicated similar results to gradient analysis. In general, moving window analysis showed that the increasingly urbanized landscape became compositionally more diverse, geometrically more complex, and ecologically more fragmented.     

北京地区典型二噁英(PCDDs)及多氯联苯(PCBs)的长距离传输潜力——基于TaPL3模型的应用研究

以典型二噁英(PCDDs)和多氯联苯(PCBs)为研究对象,利用TaPL3模型模拟计算了稳态假设下北京地区4种PCDDs和7种PCBs通过大气和水体的长距离迁移潜力(LRTP)和总持久性(Pov),比较了不同氯取代数的特征迁移距离(CTD)和Pov的大小,分析讨论了二者之间的关系,并以PCB180为例对关键参数进行了灵敏度分析.结果表明,4种PCDDs和7种PCBs在北京地区通过大气的CTDair范围分别为714—874 km和1771—8517 km,Povair范围分别为1422—5169 d和1210—35687 d;通过水体的CTDwater范围分别为1232—1385km和643—4222 km,Povwater范围分别为4900—5618 d和1831—35922 d.对于PCDDs,CTD和Pov基本上随着氯取代数目的增加而增大;对于PCBs,Pov的变化规律与PCDDs类似,而通过大气和通过水体的CTD的变化规律不同.CTD和Pov没有表现出直接的关系.与国内外同类研究相比,北京地区的结果和国外接近,但高于兰州地区通过大气的CTDair,低于通过水体的CTDwater.     

水稻基因类型与生长环境对精米中砷积累的影响

砷(As)是动植物非必需的有毒类金属。水稻是对As有较强吸收和富集能力的大宗粮食作物,大米的食用是我国及东南亚地区人体暴露As的最主要途径,严重威胁人体健康。水稻籽粒中As的积累与水稻的基因型及众多环境因子密切相关,而且表现出复杂的交互作用。在浙江省选择了不同土壤砷背景值的5块水稻田,同时在嘉兴市农科院布置了人工添加As的盆栽实验,比较了20个水稻品种在这6个实验点的精米中As含量。结果表明,水稻基因型与环境及其相互作用对水稻籽粒中As的积累均有极显著影响,并且筛选得到了5个精米中As含量较低的基因型:秀水128、秀水09、秀水134、甬粳16和Y-05-8。