辽河口营养要素的化学特性及其入海通量估算

本文根据１９９２年５月和８月辽河口水域营养要素的两次实测结果，讨论了溶解态无机氮（ＮＯ３＾－－Ｎ、ＮＯ２＾－－Ｎ、ＮＨ４＾＋－Ｎ）、活性磷酸盐（ＰＯ４＾３－－Ｐ）和活性硅酸盐（ＳｉＯ３＾２－Ｓｉ）在辽河口水域的含量，分布特征，化学特性及其入海通量。结果表明：辽河口水域溶解态无机氮含量范围为１２．１３￣２２２．７０μｍｏｌ／Ｌ，活性磷酸盐含量范围为０．７１￣２．８１μｍｏｌ／Ｌ，活性硅酸盐含量范围为     

室内空气中多环芳烃的污染特征、来源及影响因素分析

采集并测定了杭州市8户家庭中具有代表性的多环芳烃，测得居民室内空气中12种PAHs平均浓度为1.91-29.08μg/m^3,BaP浓度为5－19ng/m^3，污染十分严重，受季节及通风条件等的影响，室内空气中PAHs浓度变化较大，居民室内空气中萘主要来源于卫生球的挥发，其余PAHs主要来自燃烧，而BaP主要来自室内吸烟。     

农田土壤中的磷向水体释放的风险评价

通过对比土壤的固磷能力和磷素水平可以评估不同类型土壤中的磷向水体释放的风险。研究表明，磷吸持指数（SI）可以作为土壤最大吸磷量的替代指标来表征土壤的固磷能力。在太湖地区，影响水土界面磷素迁移能力的主要因素是土壤有效磷水平和土壤固磷能力。SI值30左右为一临界值，SI大于此值的土壤对于施磷具有较大的缓冲能力，而SI低于此值的土壤对施磷非常敏感，磷流失风险将随施磷量的增加而呈直线上升趋势。     

上海北郊大气挥发性有机物(VOCs)变化特征及来源解析

2019年1月1日到10月31日期间在上海北部郊区,采用在线气相色谱仪对58种VOCs定量检测,分析了大气VOCs组成、季节变化特征和日变化规律,并利用最大增量反应活性(MIR)估算了VOCs的臭氧生成潜势(OFP),应用因子分析法对VOCs来源进行了解析。结果表明,上海大气总VOCs体积浓度为25.79×10-9,其中烷烃占比63.2%,烯烃占比11.6%,芳香烃占比19.8%,炔烃占比5.4%。总VOCs体积浓度呈现夏季高,秋季低的季节变化特征。大气臭氧生成潜势为76.99×10-9,烷烃贡献率为22.1%,烯烃为37.5%,芳香烃为38.7%,炔烃为1.7%。VOCs特征物比值(V(TVOC)/V(NO_x)和T/B比值)法表明观测点为VOCs控制区,受周边工业区源和交通源影响。大气VOCs主要来源为机动车排放、工厂生产、燃料燃烧、工业溶剂挥发及天然源。     

单一重金属污染对水稻叶片光合特性的影响

以杂交稻协优818为材料，研究了Cu^2＋、Hg^2＋、Cd^2＋ 3种重金属离子对水稻叶片光合特性的影响。试验结果表明：（1）Cu^2＋在低浓度时BI起叶片叶绿素含量降低。而Hg^2＋、Cd^2＋在低浓度时。则导致叶绿素含量增加：高浓度时，3种重金属均BI起叶绿素含量降低。同时，低浓度时3种重金属离子均导致叶绿素a／b值升高：高浓度时则均引起叶绿素a／b值下降。（2）Cu^2＋、Hg^2＋、Cd^2＋对水稻叶片叶绿素的吸收光谱均无明显影响，在活体条件下并未发生卟啉环中Mg^2＋的置换。（3）Cu^2＋、Hg^2＋、Cd^2＋均引起叶片希尔反应活力降低，即重金属污染明显影响光合作用。     

水合氧化铁去除Cu~(2+)的实验研究

研究了实时生成的水合氧化铁(HFO)对Cu2+的去除。研究结果表明:生成的水合氧化铁是棕黄色无定形铁的氧化物,盐滴定方法测得其零电荷点PZC为8.28±0.02;它对Cu2+吸附的动力学特征受控于HFO的生成动力学,其吸附等温线可用Henry公式和类似Langmuir公式的叠加来拟合;随着吸附剂量的增加,它对Cu2的吸附率和吸附量的影响分别呈现出指数形式(Y=aXb)的增加和减少。Cu2+从溶液中去除的可能机理包括表面络合反应、共沉淀、表面沉淀、Cu2+的水解作用、Cu2+的水解产物与水合氧化铁的絮凝作用等。     

上海新港河道耗氧特性研究及其综合整治措施

通过实验室试验测定,得出了上海市新港河道水体和底泥的耗氧特性曲线,分析了水体和底泥耗氧的阶段历时、阶段耗氧特性及动力学过程.在缺乏河道水质模型的情况下,利用耗氧特性曲线可以估算各个阶段的耗氧量和河道的总耗氧量,为河道充氧设备的选择提供一定的理论指导.通过计算,上海新港河道的总耗氧量约为75.7kg/d.上海宏成实业发展有限公司采用充氧曝气、投加微生物、种植水生植物等措施对河道进行了治理,实践表明,这些措施可以使新港河道的水质有明显的改善.     

Progressively narrow the gap of PM2.5 pollution characteristics at urban and suburban sites in a megacity of Sichuan Basin, China

Nowadays, the fine particle pollution is still severe in some megacities of China, especially in the Sichuan Basin, southwestern China. In order to understand the causes, sources, and impacts of fine particles, we collected PM_2.5 samples and analyzed their chemical composition in typical months from July 2018 to May 2019 at an urban and a suburban (background) site of Chengdu, a megacity in this region. The daily average concentrations of PM_2.5 ranged from 5.6-102.3 µg/m³ and 4.3-110.4 µg/m³ at each site. Secondary inorganics and organic matters were the major components in PM_2.5 at both sites. The proportion of nitrate in PM_2.5 has exceeded sulfate and become the primary inorganic component. SO₂ was easier to transform into sulfate in urban areas because of Mn-catalytic heterogeneous reactions. In contrast, NO₂ was easily converted in suburbs with high aerosol water content. Furthermore, organic carbon in urban was much greater than that in rural, other than elemental carbon. Element Cr and As were the key cancer risk drivers. The main sources of PM_2.5 in urban and suburban areas were all secondary aerosols (42.9%, 32.1%), combustion (16.0%, 25.2%) and vehicle emission (15.2%, 19.2%). From clean period to pollution period, the contributions from combustion and secondary aerosols increased markedly. In addition to tightening vehicle controls, urban areas need to restrict emissions from steel smelters, and suburbs need to minimize coal and biomass combustion in autumn and winter.     

Extensions to minimum relative entropy inversion for noisy data

Minimum relative entropy (MRE) and Tikhonov regularization (TR) were compared by Neupauer et al. [Water Resour. Res. 36 (2000) 2469] on the basis of an example plume source reconstruction problem originally proposed by Skaggs and Kabala [Water Resour. Res. 30 (1994) 71] and a boxcar-like function. Although Neupauer et al. [Water Resour. Res. 36 (2000) 2469] were careful in their conclusions to note the basis of these comparisons, we show that TR does not perform well on problems in which delta-like sources are convolved with diffuse-groundwater contamination response functions, particularly in the presence of noise. We also show that it is relatively easy to estimate an appropriate value for epsilon, the hyperparameter needed in the minimum relative entropy solution for the inverse problem in the presence of noise. This can be estimated in a variety of ways, including estimation from the data themselves, analysis of data residuals, and a rigorous approach using the real cepstrum and the Akaike Information Criterion (AIC). Regardless of the approach chosen, for the sample problem reported herein, excellent resolution of multiple delta-like spikes is produced from MRE from noisy, diffuse data. The usefulness of MRE for noisy inverse problems has been demonstrated.     

脉冲供电在锌沸腾炉电除尘器上的应用

介绍了一种电除尘器脉冲供电的基本原理及其在锌沸腾炉电除尘器上的应用试验情况。结果表明，在基本保持同一工况条件下，脉冲供电比直流供电降低出口烟气含尘浓度50.4%～79.6%；脉冲供电能改善电除尘器运行性能，提高电除尘器改善系数达1.32；脉冲供电运行安全可靠。