基于精细化年均行驶里程建立机动车排放清单

基于环保检测数据，提出“里程-车龄”曲线用以获取满足“车辆类型-燃料种类-排放标准”三级分类的精细化年均行驶里程.使用《道路机动车大气污染物排放清单编制技术指南（试行）》推荐值、车辆类型均值、“里程-车龄”曲线3种方式获取年均行驶里程并分别建立排放清单，发现年均行驶里程的本地化与精细化可以极大降低行驶里程不确定性对排放清单准确性的影响.采用精细化年均行驶里程，计算得到青岛市2017年机动车CO、VOCs、NO_x、PM₁₀、NH₃和SO₂的排放量分别为7.07，1.14，2.84，0.10，0.08和0.08万t.分析排放构成可知，老旧车淘汰在当前仍可作为青岛市机动车排放治理的有效举措.结合路网信息与交通数据，得到0.01°×0.01°高时空分辨率网格化排放清单.结果表明，青岛市机动车排放分布在不同时段变化明显.以NO_x为例，排放的早晚高峰分别出现在8：00与17：00，占到了全天总排放的8.17%和7.53%.同时，排放分布存在着空间异质性，排放从城市中心至边缘呈逐渐降低趋势，沿高速路呈明显带状分布.     

草甘膦对雄性大鼠睾酮合成的影响

探讨草甘膦亚慢性染毒对雄性大鼠睾酮合成的影响。雄性SD大鼠按体重随机分为对照组(0 mg·kg~(-1))、低剂量组(50 mg·kg~(-1))、中剂量组(200 mg·kg~(-1))和高剂量组(800 mg·kg~(-1)),连续灌胃染毒,第4、8和12周时分别处死一批动物,采集血液和脏器。放射免疫分析法检测大鼠血清中卵泡刺激素(follicle stimulating hormone,FSH)、黄体生成素(luteinizing hormone,LH)、睾酮(testosterone,T)、雌二醇(estradiol,E2)水平; HE染色法(苏木精-伊红染色法)观察睾丸病理学变化;免疫组化法检测3β-羟基类固醇脱氢酶(3beta-hydroxysteroid dehydrogenase,3β-HSD)、类固醇激素合成急性调节蛋白(steroid synthesis of acute regulatory protein,St AR)、细胞色素P450胆固醇侧链裂解酶(cytochrome P450 cholesterol side chain lyase,P450scc)和17β-羟基类固醇脱氢酶(17beta-hydroxysteroid dehydrogenase,17β-HSD)蛋白表达水平。随染毒剂量和时间的增加,大鼠血清FSH和T水平呈下降趋势,第12周高剂量组FSH水平明显低于对照组(P0.05),第8周和第12周高剂量组T水平明显低于对照组(P0.05),LH和E2水平各组间无统计学差异(P0.05)。组织病理学可见中、高剂量组睾丸生精小管、生精细胞、间质区结构被破坏。随草甘膦染毒剂量的增加,St AR和P450scc蛋白表达水平与对照组相比显著下降(P0.05),3β-HSD和17β-HSD蛋白表达水平在各组间无差异(P0.05)。草甘膦能降低血清T水平,抑制T合成相关蛋白St AR和P450scc的表达,干扰T的合成过程,具有雄性生殖毒性作用。     

COD/N对潜流人工湿地脱氮效能及N2O排放的影响

人工湿地因其低能耗、易管理的优点被广泛应用于水处理和生态修复,尤其在发展中国家有其适用性。为探讨COD/N对潜流人工湿地脱氮效能及氧化亚氮（N2O）的排放影响,分别构建5组微型人工湿地CW1~CK,进水化学需氧量/总氮（COD/N）分别为20：1、10：1、7：1、4：1和0：1。结果表明,湿地出水DO浓度均低于0.5 mg·L-1,不同的COD/N下无显著差异,但pH表现为随COD/N的升高而降低。进水COD/N为10、7和4的湿地中COD去除率在80%以上,而进水COD/N=20的湿地中COD去除率不足70%。5组COD/N湿地中氨氮（NH4+-N）的平均去除率依次为（61±16.6）%、（23±14.1）%、（30±12.5）%、（28±14.5）%和（74±7.0）%,在碳源充足或无碳源的条件下有利于NH4+-N的去除。除COD/N=0外,其余湿地中出水未检测到硝态氮（NO3--N）。湿地中总氮（TN）的去除变化与NH4+-N相似。5组湿地系统中,N2O的平均释放通量和累积排放量,分别在0.83~11.84 mg·（m2·h）-1和30.65~490.80 mg·m-2之间。COD/N=4的人工湿地系统中,N2O的平均释放通量和累计排放量显著高于其他处理（p2O形态去除的氮占系统去除TN的百分比为4.87%。COD/N对潜流人工湿地的脱氮和N2O减量具有调控作用。     

Vertical distribution of volatile organic compounds conducted by tethered balloon in the Beijing-Tianjin-Hebei region of China

Volatile organic compounds(VOCs) as precursors of ozone and secondary organic aerosols can cause adverse effects on the environment and human health.However,knowledge of the VOC vertical profile in the lower troposphere of major Chinese cities is poorly understood.In this study,tethered balloon flights were conducted over the juncture of BeijingTianjin-Hebei in China during the winter of 2016.Thirty-six vertical air samples were collected on selected heavy and light pollution days at altitudes o...     

河道底泥重金属浸出毒性分析及其固化/稳定化效果

城市内河由于长期承纳污染物导致其底泥受到污染,特别是其中重金属污染严重。选取某城市纳污河淤泥为试验对象,发现底泥Cr、Cu、Ni和Zn含量和浸出浓度均较高。为使其达到资源再利用要求,研究了一种污泥改性剂对其固化/稳定化的效果。结果显示,当改性剂掺量为10%时,已能够显著提高淤泥各个龄期强度。固化淤泥重金属浸出浓度在7 d时已明显降低,且随养护时间增长进一步降低。改性剂掺量为13%时,固化淤泥Cu、Ni和Zn浸出浓度可降低90%以上,而Cr浸出浓度也可降低80%左右。实验表明,污泥改性剂处理后淤泥抗压强度提高,同时有害物质得到有效的稳定。     

改性莴笋叶渣净化空气中甲醛

通过对莴笋叶2种处理吸附甲醛,得出简便高效的碱热烫处理,并采用二次正交旋转回归组合对其优化,得出煮沸时间25 min、水浴温度80℃、水浴时间2.5 h,莴笋叶渣对甲醛吸附率可达37.05%,实测值36.4%,二者吻合.通过与活性炭、硅藻纯吸附效果比较,优化处理莴笋叶渣与硅藻纯吸附效果相当,均优于活性炭.电镜观测知优化莴笋叶渣与活性炭、硅藻纯均具粗糙、皱褶、疏松结构,傅里叶红外光谱分析出—C=C—基团在甲醛吸附中起主要作用.     

沱江流域磷石膏的磷形态组成及潜在释放特征

对沱江流域磷石膏中磷形态组成及浓度、磷释放动力学特征、环境因子对磷释放的影响进行了研究。结果表明:沱江流域磷石膏总磷(TP)浓度为3.70 mg/g,磷石膏中磷释放主要来自弱吸附态磷(Ex-P)、可提取态有机磷(Org-P)和铁磷(Fe-P),且Ex-P、Fe-P释放所占比例较大;磷石膏与水的水土比为500 ∶1时,磷释放量达到最大值,磷的释放过程主要发生在前8 h,最大释放速率(V_max)为3.52 mg/(g·h),一级动力学方程可较好地拟合磷释放动力学过程,其平衡浓度(Q_max)拟合值为2.30 mg/g;水体pH对磷石膏中磷释放影响显著,酸性或碱性条件均有利于磷的释放,水体盐度和温度越高,越有利于磷释放,水体温度从10 ℃升至25 ℃时,磷总释放量逐渐提高,25 ℃时磷的总释放量最大。     

Water Quality Prediction of Water Sources Based on Meteorological Factors using the CA-NARX Approach

With the increasingly serious problem of surface water environmental safety, it is of great significance to study the changing trend of reservoir water quality, and it is necessary to establish a water quality prediction and early warning system for the management and maintenance of water resources. Aiming at the problem of water quality prediction in reservoirs, a CA-NARX algorithm is designed, which combines the improved dynamic clustering algorithm with the idea of machine learning and the forward dynamic regression neural network. The improved dynamic clustering algorithm is used to classify the eutrophication degree of waterbodies according to the total phosphorus and total nitrogen content. Considering four meteorological factors, air temperature, water temperature, water surface evaporation, and rainfall, synthetically for each water quality condition, the total phosphorus and total nitrogen in the waterbody are forecasted by an improved forward NARX dynamic regression neural network. Based on this, the CA-NARX prediction algorithm can realize short period water quality prediction. Compared with the traditional support vector regression machine model, improved GA-BP neural network, and exponential smoothing method, the CA-NARX model has the least prediction error.

     

Analysis of factors affecting individual participation in carbon market

China will set up a national carbon emissions trading market by the end of 2017, which is initially open to individual investors from the initial market for business and institutional investors. In this article, the main influencing factors and mechanism of individual participation in carbon trading market are studied by establishing multiple linear regression model. The study found that age, education level, length of account opening time, and risk attitude are the main factors influencing the participation of individual investors. Environmental awareness and environmental impact are less affected; information transparency and transaction risk also have an impact on the degree of individual investor participation; investment experience does not affect the participation of individual investors in the carbon trading market.     

A bibliometric analysis on waste electrical and electronic equipment research

Environmental Science and Pollution Research - Waste electrical and electronic equipment (WEEE) contains both toxic and valuable materials. Due to rapid development of information and communication...