盐城自然保护区人工湿地对水鸟分布的影响

通过定位观察，进行了人工湿地内鸟类的种类鉴别和数量统计。结果表明，２２０ｈｍ~２人工湿地先后招引了包括丹顶鹤在内的５５种水鸟前来栖息。并通过与人工湿地建立以前调查结果的分析比较，阐述了建立人工湿地对整个保护区生态系统功能的调节和补充作用。     

苯并[a]芘超标污泥处理案例分析

苯并[a]芘超标污泥对生态环境和人体健康存在严重的危害,需进行无害化处理,但目前缺乏合适的处理工艺。以国内油气田污泥处理为例,针对该污泥含水率高、有机质含量低等特点,对苯并[a]芘去除方法、污泥干化及高温处理工艺装备进行系统分析,提出采用低温干化-高温热解处理工艺路线,可较经济地实现苯并[a]芘超标污泥的无害化处理,同时也为多环芳烃类危险物质超标的污泥、土壤等处理提供了参考。     

Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test—Community Edition(SMAT-CE) is developed for demonstrating attainment of air quality standards of O3 and PM2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards(NAAQS) shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM2.5and 8-hour O3 for a proposed emission control policy.     

基于BP神经网络的污水格栅间气体监测*

为实现对城市污水泵站格栅间内H2S和CO有害气体浓度实时准确监测分析,设计气体传感器阵列监测系统,建立单隐层BP神经网络模型对气体浓度样本进行训练,确定网络隐含层数为9,训练函数为traindm,模型优化后输出的H2S和CO气体浓度与实测值的平均相对误差分别为1.3%与0.4%。研究结果表明:采用BP神经网络模型对传感器阵列采集到的样本数据进行训练,可提高其测量精度,提升精度范围在57%~75%之间,能够满足对污水泵站有害气体监测的基本要求,所建立模型表现出良好效果。研究结果可为污水格栅间有害气体监测提供新方法。     

Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity

• The calculation process and algorithm of response surface model (RSM) were enhanced. • The prediction errors of RSM in the margin and transition areas were greatly reduced. • The enhanced RSM was able to analyze O₃-NO_x-VOC sensitivity in real-time. • The O₃ formations were mainly sensitive to VOC, for the two case study regions. Quantification of the nonlinearities between ambient ozone (O₃) and the emissions of nitrogen oxides (NO_x) and volatile organic compound (VOC) is a prerequisite for an effective O₃ control strategy. An Enhanced polynomial functions Response Surface Model (Epf-RSM) with the capability to analyze O₃-NO_x-VOC sensitivities in real time was developed by integrating the hill-climbing adaptive method into the optimized Extended Response Surface Model (ERSM) system. The Epf-RSM could single out the best suited polynomial function for each grid cell to quantify the responses of O₃ concentrations to precursor emission changes. Several comparisons between Epf-RSM and pf-ERSM (polynomial functions based ERSM) were performed using out-of-sample validation, together with comparisons of the spatial distribution and the Empirical Kinetic Modeling Approach diagrams. The comparison results showed that Epf-RSM effectively addressed the drawbacks of pf-ERSM with respect to over-fitting in the margin areas and high biases in the transition areas. The O₃ concentrations predicted by Epf-RSM agreed well with Community Multi-scale Air Quality simulation results. The case study results in the Pearl River Delta and the north-western area of the Shandong province indicated that the O₃ formations in the central areas of both the regions were more sensitive to anthropogenic VOC in January, April, and October, while more NO_x-sensitive in July.     

Development and case study of a new-generation model-VAT for analyzing the boundary conditions influence on atmospheric mercury simulation

Atmospheric models are essential tools to study the behavior of air pollutants. To interpret the complicated atmospheric model simulations, a new-generation Model Visualization and Analysis Tool (Model-VAT) has been developed for scientists to analyze the model data and visualize the simulation results. The Model-VAT incorporates analytic functions of conventional tools and enhanced capabilities in flexibly accessing, analyzing, and comparing simulated results from multi-scale models with different map projections and grid resolutions. The performance of the Model-VAT is demonstrated by a case study of investigating the influence of boundary conditions (BCs) on the ambient Hg formation and transport simulated by the CMAQ model over the Pearl River Delta (PRD) region. The alternative BC options are taken from (1) default time-independent profiles, (2) outputs from a CMAQ simulation of a larger nesting domain, and (3) concentration files from GEOS-Chem (re-gridded and re-projected using the Model-VAT). The three BC inputs and simulated ambient concentrations and deposition were compared using the Model-VAT. The results show that the model simulations based on the static BCs (default profile) underestimates the Hg concentrations by ~6.5%, dry depositions by ~9.4%, and wet depositions by ~43.2% compared to those of the model-derived (e. g. GEOS-Chem or nesting CMAQ) BCs. This study highlights the importance of model nesting approach and demonstrates that the innovative functions of Model-VAT enhances the efficiency of analyzing and comparing the model results from various atmospheric model simulations.

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Effects of support acidity on the reaction mechanisms of selective catalytic reduction of NO by CH4 in excess oxygen

The reaction mechanisms of selective catalytic reduction (SCR) of nitric oxide (NO) by methane (CH₄) over solid superacid-based catalysts were proposed and testified by DRIFTS studies on transient reaction as well as by kinetic models. Catalysts derived from different supports would lead to different reaction pathways, and the acidity of solid superacid played an important role in determining the reaction mechanisms and the catalytic activities. Higher ratios of Br?nsted acid sites to Lewis acid sites would lead to stronger oxidation of methane and then could facilitate the step of methane activation. Strong Br?nsted acid sites would not necessarily lead to better catalytic performance, however, since the active surface NO_y species and the corresponding reaction routes were determined by the overall acidity strength of the support. The reaction routes where NO₂ moiety was engaged as an important intermediate involved moderate oxidation of methane, the rate of which could determine the overall activity. The reaction involving NO moiety was likely to be determined by the step of reduction of NO. Therefore, to enhance the SCR activity of solid superacid catalysts, reactions between appropriate couples of active NO_y species and activated hydrocarbon intermediates should be realized by modification of the support acidity.     

Effect of Cu-based metal organic framework (Cu-MOF) loaded with TiO2 on the photocatalytic degradation of rhodamine B dye

Environmental Science and Pollution Research - Using copper nitrate trihydrate as the copper source, TiO2@Cu-MOF nanocomposites were prepared by a one-step crystallization method, and the effect of...     

Heterogeneous photocatalytic decomposition of benzene on lanthanum-doped TiO2 film at ambient temperature

Lanthanum-doped anatase TiO₂ thin films on glass prepared via a sol–gel process have been shown to have much higher photocatalytic activity for the degradation of gaseous benzene than pure anatase TiO₂ thin film. The photodecomposition of benzene on both types of TiO₂ films follows the first-order kinetics while the CO₂ and CO formation followed the zero-order kinetics. GC/MS identification of the intermediates produced during the photodegradation of benzene revealed that doping lanthanum into TiO₂ thin film favors a cleavage of benzene ring. An optimal lanthanum amount with respect to photocatalytic activity was about 2.5 wt% (La₂O₃/TiO₂).