电催化氧化中的三种催化材料处理酸性红B染料的比较研究

本文采用三种不同催化机理的材料———半导体材料TiO2 、软锰矿石和混合稀土进行了电催化氧化 (ECO)染料酸性红B的研究 ,结果表明 ,稀土材料在ECO体系中呈负催化效应 ;软锰矿石的色度去除催化效果明显 ;TiO2 的催化效果最显著 ,其色度和COD去除效果可比无催化剂时效果分别提高60 %和 75% ,可以作为电催化氧化的催化剂。并进一步研究了TiO2 用量对电催化氧化 (ECO)的影响。     

Improving the accuracy of emission inventories with a machine-learning approach and investigating transferability across cities

ABSTRACT

This study presents a novel method for integrating the output of a microscopic emission modeling approach with a regional traffic assignment model in order to achieve an accurate greenhouse gas (GHG, in CO_2-eq) emission estimate for transportation in large metropolitan regions. The CLustEr-based Validated Emission Recalculation (CLEVER) method makes use of instantaneous speed data and link-based traffic characteristics in order to refine on-road GHG inventories. The CLEVER approach first clusters road links based on aggregate traffic characteristics, then assigns representative emission factors (EFs), calibrated using the output of microscopic emission modeling. In this paper, cluster parameters including number and feature vector were calibrated with different sets of roads within the Greater Toronto Area (GTA), while assessing the spatial transferability of the algorithm. Using calibrated cluster sets, morning peak GHG emissions in the GTA were estimated to be 2,692 tons, which is lower than the estimate generated by a traditional, average speed approach (3,254 tons). Link-level comparison between CLEVER and the average speed approach demonstrates that GHG emissions for uncongested links were overestimated by the average speed model. In contrast, at intersections and ramps with more congested links and interrupted traffic flow, the average speed model underestimated GHG emissions. This proposed approach is able to capture variations in traffic conditions compared to the traditional average speed approach, without the need to conduct traffic simulation.

Implications: A reliable traffic emissions estimate is necessary to evaluate transportation policies. Currently, accuracy and transferability are major limitations in modeling regional emissions. This paper develops a hybrid modeling approach (CLEVER) to bridge between computational efficiency and estimation accuracy. Using a k-means clustering algorithm with street-level traffic data, CLEVER generates representative emission factors for each cluster. The approach was validated against the baseline (output of a microscopic emission model), demonstrating transferability across different cities .     

Assessing the Eutrophication of Shengzhong Reservoir Based on Grey Clustering Method

Abstract

Reservoir water environment is a grey system. The grey clustering method is applied to assessing the reservoir water environment to establish a relatively complete model suitable for the reservoir eutrophication evaluation and appropriately evaluate the quality of reservoir water, providing evidence for reservoir management. According to China’s lakes and reservoir eutrophication criteria and the characteristics of China’s eutrophication, as well as certain evaluation indices, the degree of eutrophication is classified into six categories with the utilization of grey classified whitening weight function to represent the boundaries of classification, to determine the clustering weight and clustering coefficient of each index in grey classifications, and the classification of each clustering object. The comprehensive evaluation of reservoir eutrophication is established on such a foundation, with Sichuan Shengzhong Reservoir as the survey object and the analysis of the data attained by several typical monitoring points there in 2006. It is found that eutrophication of Tiebian Power Generation Station, Guoyuanchang and Dashiqiao Bridge is the heaviest, Tielusi and Qinggangya the second, and Lijiaba the least. The eutrophication of this reservoir is closely relevant to the irrational exploitation in its surrounding areas, especially to the aggravation of the non-point source pollution and the increase of net-culture fishing. Therefore, it is feasible to use grey clustering in environment quality evaluation, and the point lies in the correct division of grey whitening function     

基于底栖动物完整性指数的长江口-杭州湾潮间带水生态状况评价

利用生物完整性指数评价流域水生态状况,所得结果对水环境管理决策有重要指导意义。以2006年崇明东滩底栖动物监测数据为参照状态数据,利用长江口1991—2019年和杭州湾2004—2019年潮间带底栖动物监测数据构建底栖动物完整性指数(B-IBI),最终从56个候选指标中确定了6个核心指标:Marglef指数、软体动物相对多度、甲壳动物+多毛纲相对多度、ASPT、科级生物指数和捕食者相对多度。B-IBI评价结果显示:优秀等级样本有44个,良好等级72个,中等等级31个,较差等级7个,很差等级4个;杭州湾北岸水生态状况显著优于长江口南岸(P<0.05)。经验证,B-IBI与水质综合污染指数呈极显著相关(P<0.01),能够有效指示研究区域的水生态状况。     

热压机防火问题探讨

针对企业在热压机防火 方面的薄弱环节，具体分析着火原因，从多方面提出了防范措施。     

固定化微生物制备技术及生物脱氮研究

利用载体经干燥后机械强度得到提高的特性,建立一种低胶体浓度固定化微生物制备技术:包埋剂为5.5%PVA、0.45%SA,固定液为饱和硼酸与0.6%硫酸铝的混合液,包菌量为0.4g/mL包埋剂。小球硬化24 h后洗净并放入30℃鼓风干燥箱干燥3.5 h后备用。制备出的固定化微生物氨氧化速率为24.3 mg/(L·h),相对活性为77.7%。     

黄河水质监测的分析方法研究

随着对黄河水的治理工作的逐渐深入,关于黄河水质的监测事业都取得了快速的发展并有着不小的进步,当然仍然存在着一些问题,比如监测的条件较为单一且技术落后、监测的断面也不够多、资料信息缺乏等.随着时代的发展,现有的一些关于水质监测的方法已经不能满足监测的要求,所以本文对于黄河水质监测的分析方法做了一定得研究,希望对于水质监测方面有一定的帮助.     

Characterization of heavy metal desorption from road-deposited sediment under acid rain scenarios

Road-deposited sediments(RDS) on urban impervious surfaces are important carriers of heavy metals.Dissolved heavy metals that come from RDS influenced by acid rain,are more harmful to urban receiving water than particulate parts.RDS and its associated heavy metals were investigated at typical functional areas,including industrial,commercial and residential sites,in Guangdong,Southern China,which was an acid rain sensitive area.Total and dissolved heavy metals in five particle size fractions were analyzed using a shaking method under acid rain scenarios.Investigated heavy metals showed no difference in the proportion of dissolved fraction in the solution under different acid rain pHs above3.0,regardless of land use.Dissolved loading of heavy metals related to organic carbon content were different in runoff from main traffic roads of three land use types.Coarse particles(150 μm) that could be efficiently removed by conventional street sweepers,accounted for 55.1%-47.1%of the total dissolved metal loading in runoff with pH 3.0-5.6.The obtained findings provided a significant scientific basis to understand heavy metal release and influence of RDS grain-size distribution and land use in dissolved heavy metal pollution affected by acid rain.     

分子印迹技术在环境痕量有机物中的应用

分子印迹技术（MolecularImprintingTechnique,NIT）是一种新型的识别技术,其核心是制备对目标分子具有高度识别的分子印迹聚合物（MolecularlyImprintedPolymers,MIPs）。MIPs具有特异选择性、稳定性等特点,为分离和去除环境中的痕量有机物提供有效的途径。文章综述了MIT在痕量环境有机物的分析、检测和处理中的研究进展,并对存在的问题进行了探讨。     

超细水雾抑制酒精火有效性实验研究

为了研究超细水雾对酒精火的抑制效果,通过搭建超细水雾抑制受限空间酒清火燃烧的小尺寸实验平台,利用基于质量损失速率的热释放速率计算方法,研究超细水雾与酒精火焰相互作用时,酒精火火焰的变化规律及酒精火的热释放速率,与此同时,采用高速摄像仪对火焰进行拍摄,利用Matlab图像处理程序对采集的火焰图片剖面进行处理.研究发现:施...