活性污泥法的多变量最优控制Ⅱ.限制有机物(BOD)的排放总量

着重研究了有限制有机物排放总量时，使其运行费用最低的最优周期控制问题。通过增加新的状态变量和用补偿函数法，将本课题的有约束条件问题化为无约束条件问题，并提出了最优长参数的动态搜索法来修改传统的梯度法，从而较完善地解决了多变量最优周期控制的计算问题。     

七台河市大气污染特征及变化浅析

通过对七台河市2006年1月起空气连续监测系统正式运行以来的监测数据分析,归纳、总结七台河市大气污染物随季节变化规律,每日、小时变化规律及市区不同地区大气污染物分布特征,并对这种特征及变化规律进行分析.     

Direct hydride derivatization of methyl- and ethylmercury chlorides in aqueous solution with KBH4

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基于超高效液相色谱串联质谱法的番茄果实和土壤中氟吡菌胺残留测定

建立了番茄果实和土壤中氟吡菌胺残留的超高效液相色谱-串联质谱(UPLC-MS/MS)检测方法。用乙腈水溶液提取样品中的氟毗菌胺,以C_(18)柱为分析柱、乙腈-甲酸水溶液为流动相,采用超高效液相色谱-串联质谱多反应监测、电喷雾正离子源、外标法定量。氟吡菌胺在0.05~1.00 mg/L范围内与峰面积呈良好的线性关系,线性方程为y=6964.10x-143.28,决定系数为0.996 8。向对照番茄果实、对照土壤中分别添加氟吡菌胺标样,使其添加量分别为0.10 mg/kg、0.40 mg/kg和2.00 mg/kg,平均回收率分别为92.43%~103.32%和92.75%~104.46%,相对标准偏差分别为3.8%~4.9%和3.4%~4.4%。番茄果实和土壤中氟吡菌胺的定量限分别为1.0μg/kg和1.7μg/kg,检出限分别为0.3μg/kg和0.5μg/kg。     

An integrated chemical mass balance and source emission inventory model for the source apportionment of PM2.5 in typical coastal areas

The source apportionment of PM_2.5 is essential for pollution prevention. In view of the weaknesses of individual models, we proposed an integrated chemical mass balance-source emission inventory (CMB-SEI) model to acquire more accurate results. First, the SEI of secondary component precursors (SO₂, NO_x, NH₃, and VOCs) was compiled to acquire the emission ratios of these sources for the precursors. Then, a regular CMB simulation was executed to obtain the contributions of primary particle sources and secondary components (SO₄^2?, NO₃^-, NH₄⁺, and SOC). Afterwards, the contributions of secondary components were apportioned into primary sources according to the source emission ratios. The final source apportionment results combined the contributions of primary sources by CMB and SEI. This integrated approach was carried out via a case study of three coastal cities (Zhoushan, Taizhou, and Wenzhou; abbreviated WZ, TZ, and ZS) in Zhejiang Province, China. The regular CMB simulation results showed that PM_2.5 pollution was mainly affected by secondary components and mobile sources. The SEI results indicated that electricity, industrial production and mobile sources were the largest contributors to the emission of PM_2.5 gaseous precursors. The simulation results of the CMB-SEI model showed that PM_2.5 pollution in the coastal areas of Zhejiang Province presented complex pollution characteristics dominated by mobile sources, electricity production sources and industrial production sources. Compared to the results of the CMB and SEI models alone, the CMB-SEI model completely apportioned PM_2.5 to primary sources and simultaneously made the results more accurate and reliable in accordance with local industrial characteristics.     

DOM不同相对分子质量组分在无机矿物上的吸附及其对卡马西平吸附的影响实验

为探究溶解性有机质(DOM)不同相对分子质量组分在矿物质上的吸附特征及其与药物和个人护理品(PPCPs)类污染物的结合作用对两者吸附过程的影响,以卡马西平作为目标污染物,用商用腐殖酸制备DOM,以石英砂代表无机矿物,开展吸附实验,并采用透析实验和红外光谱表征等手段,探讨了不同相对分子质量腐殖酸(HA)的结构特征及其与卡马西平(CBZ)的结合作用对HA或CBZ在固相介质上吸附作用的差异及产生机制.结果表明,大分子量HA有更多的羟基、芳香烃和脂肪烃,以疏水物质为主;而小分子量HA有更多的醇和羧基,以亲水物质为主.HA与CBZ的结合主要通过CBZ的氨基与小分子量HA中极性官能团的结合,以及CBZ疏水基团与大分子量HA中脂肪族与芳香族的疏水作用.CBZ与HA之间的相互作用对腐殖酸或卡马西平的吸附产生明显差异.当CBZ不存在时,石英砂主要通过疏水作用结合HA中疏水性大分子或与HA的羟基、羧基等发生交换配位反应,且石英砂更倾向于吸附HA中的脂肪性及疏水性大分子组分.当CBZ存在时,石英砂转而吸附HA中的小分子量部分,且HA在石英砂上的最大吸附量减小.当HA不存在时,CBZ可通过疏水作用,范德华力和极性相互作用使其在石英砂上有一定量的吸附.加入HA后,石英砂吸附增加的CBZ归因于部分HA分子与CBZ结合后共吸附或累积吸附于石英砂上.     

河北省涞水县大气颗粒物单颗粒分析表征及来源识别

为了解河北省涞水县颗粒物污染特征,采用单颗粒分析技术扫描电镜-X射线能谱法和气团后向轨迹分析技术对该县2015年3个典型污染时段〔即正常管控、严格管控（2015年阅兵期间）及发生严重颗粒物染污〕采集的7个大气颗粒物样品进行了分析表征和来源解析.共测量了1 506个粒径≥0.5 μm的单颗粒,其中粒径小于2.5 μm的颗粒占98%以上,测量结果揭示了细颗粒污染特征.结果表明:①碳质颗粒为主要颗粒物种类,其检出数目占比在90%以上.②非供暖期严格管控时段,当地居民日常生活产生的球形碳质颗粒检出数目占比最高.③非供暖期正常管控时段,机动车排放的碳质集合体颗粒检出数目占比最高,交通污染贡献最大.④供暖期球形碳质颗粒检出数目占比最高,含硫颗粒检出数目占比相对增加,燃煤的贡献最大.3个采样时段48 h气团后向轨迹分析结果表明,在空气质量良好、颗粒物污染水平较低的情况下,影响研究区域空气质量的主要是本地源;雾霾天气（处于严重颗粒物污染时段）时,西南方向外来源和本地源共同构成研究区域的颗粒物污染状态.      

林冠特征对城市森林斑块消减空气PM2.5质量浓度的影响

研究城市森林斑块消减空气PM_(2.5)质量浓度的能力,以及这种能力的主要影响因素,对改善城市空气环境具有重要的意义.本研究测定了南昌市典型城市森林斑块消减PM_(2.5)质量浓度的能力(PM_(2.5)AC),并分析了PM_(2.5)AC对城市森林斑块林分组成、冠层特征的响应.研究表明:南昌市城市森林斑块具有显著消减空气PM_(2.5)质量浓度的能力,其中针叶林斑块PM_(2.5)AC最高,达到9.15%,阔叶纯林最低3.82%;整体上春季PM_(2.5)AC最高,达到7.34%,冬季最低3.76%.城市森林斑块PM_(2.5)AC与林冠特征中的LAI(叶面积指数)显著正相关,与DIFN(天空开度)显著负相关,与斑块特征中的斑块面积、林分结构、斑块总叶面积显著正相关.通过综合分析,城市森林斑块总叶面积是主导PM_(2.5)AC的主要影响因素.     

Highly time-resolved aerosol characteristics during springtime in Weizhou Island

A single particle aerosol mass spectrometer was deployed to measure the changes of single particle species and sizes during March 2015 in Weizhou Island of the Beibu Gulf, Guangxi province, South China. In this campaign, a total of 3,100,597 particles were sized, and 25.8%particles with both positive and negative mass spectrum were collected and 24.8%characterized in combination with the ART-2 a neural network algorithm. The distribution of sized particles was mainly in from 520 to 600 nm, and the diameters ranging from 340 to1000 nm accounted for above 90%. Eight types of particles were classified: Elemental Carbon containing(EC), Organic Carbon containing(OC), EC and OC combined containing particles,Na containing particles, K containing particles(K), Levoglucosan containing particles,mineral containing particles, and Heavy Metal containing particles(HM). EC, OC and K were the major containing particles, which accounted for 84.3% in the eight types particles. The relative ratio and size distribution of the three types were EC(48.1%, 620 nm), OC(12.7%,440 nm), and K(23.5%, 600 nm), respectively. The three types of particles were a bit increasing ratios compared with those in clean periods during haze pollution periods.Combined with the back-trajectory results from the Hysplit-4 model and local pollution sources revealed that the ambient air quality on the Weizhou Island may be influenced by biomass burning in the Indochina Peninsula(biomass burning in the Indochina Peninsula)from the transportation on higher level atmospheric layer and by mainland of south China located northeast of Weizhou Island on the ground.     

2007—2014年北京地区PM2.5质量浓度变化特征

为更好地解析北京地区ρ(PM_2.5)的长期变化特征及气流轨迹聚类分析结果,对2007年8月—2014年7月在中国环境科学研究院实测的ρ(PM_2.5)数据进行了统计分析,分析其年际、季节和月际变化特征;通过计算PM_2.5的AQI分指数,分析了污染等级的时间变化特征;结合后向气流轨迹,对ρ(PM_2.5)年际、季节变化与气团来源的关系进行了分析.结果表明:北京地区2008—2013年ρ(PM_2.5)年均值分别为111.5、95.8、94.8、80.5、75.2、81.3 μg/m3,整体呈逐年下降趋势,但污染水平依然较高;ρ(PM_2.5)由高到低的季节次序为秋季、冬季、春季、夏季,平均值分别为111.6、94.8、77.2、70.5 μg/m3,PM_2.5重污染时段主要出现在秋冬季节,并且冬季ρ(PM_2.5)近年来逐渐呈上升趋势;ρ(PM_2.5)月均值呈单峰型变化,11月最高(为125.3 μg/m3),7月最低(为76.4 μg/m3);轨迹聚类分析发现,途经山西省北部和河北省南部的气流轨迹中ρ(PM_2.5)较高,而来自北方及西北方向的气团相对较清洁,ρ(PM_2.5)较低.北京地区近些年实施的大气污染减排措施对于控制PM_2.5污染取得了一定效果,但针对秋冬季节重污染过程的控制力度仍需要加强,同时也要注意区域污染传输对北京地区ρ(PM_2.5)的影响.