基于FHWA的兰州市道路交通噪声预测模型的建立

结合美国道路交通噪声污染预测模型(FHWA)和国内学者在该方面的大量研究成果,选择兰州市主、次干道共计52条、142个监测点的建模采样数据,并应用统计学原理分析了影响道路交通噪声的各个因子与道路交通噪声的相关性,最终得出了符合兰州市道路交通特征的噪声污染统计预测模型.随后通过兰州市15个监测点的预测与实测对比验证后发现二者具有较高的一致性,此模型可应用在兰州市道路交通噪声污染的预测评价中.     

湿地生态地球化学研究进展

湿地生态地球化学研究是湿地研究的核心内容之一, 是研究其物理过程、化学过程和生物过程及其相互关系以及这些过程与湿地功能的关系.回顾了近年来国内外湿地生态地球化学方面的研究成果,介绍了它的概念,并评述了湿地的生态功能、元素地球化学、生物地球化学、湿地模型和3S技术等新技术在湿地研究中的应用等方面的研究进展.提出了中国湿地生态地球化学研究的优先领域,应加强湿地基础理论研究及在湿地的演化、生态过程、界面过程、预测与评价、信息系统等方面的研究.     

UniTank工艺流程氨氮浓度的动态特征

利用基于ASM2D的数学模型对上海石洞口污水厂UniTank工艺内氨氮浓度的动态特性进行了仿真研究,发现该流程反应器氨氮浓度具有非稳态特征.反应器内氨氮浓度的变化规律与曝气时间设定及进水时间设定有关.增加曝气强度,能降低边池及中池的氨氮浓度,相应增大边池及中池的硝态氮浓度.     

土壤渗滤处理系统运行控制的模拟研究

通过建立地下水数学模型,回答了土壤渗滤工程运行控制中的两个难点问题:(1)工程运行水力负荷.当工程地块周边存在河流时,河流水位低时,有助于增加水力负荷,反之则降低水力负荷;实际土壤运行面积的增加和独立运行单元之间的间距增加也能够增加工程运行水力负荷.(2)地下水水质监测井的优化布设.模拟工程运行后地下水水质空间分布特征,在地下水水质最不利的位置和其他特别关注的位置布置监测井,从而能够以具有典型代表性且数目较少的监测井达到准确评估工程对地下水水质影响的目的.     

探究城市污水处理项目的环境影响评价

水作为人类赖以生存的主要能源物质,随着社会综合水平的提高,各行业对水资源的需求越是急切。而现阶段城市中大量污水给环境带来很多不利影响,环保公司针对城市污水处理不断在技术上进行突破、完善,将智能化节能技术运用到城市污水处理中,使设备、资源得到充分利用,为人们用水条件带来更加充沛、丰富的保障与支持。为有效处理城市污水,争取在城市污水处理发挥更大作用,带动城市环境可持续发展。     

嘉善前体物与气象因子对臭氧生成的影响及臭氧潜在源区分析

利用2017年嘉善善西超级站臭氧（O₃）及其前体物（NO_x和VOCs）以及气象因子（温度、湿度、风速）逐小时数据,分析了2017年全年NO_x和O₃的变化特征以及春季（4—5月）、夏季（7—8月）NO_x和气象因子对O₃生成的影响,利用O₃生成潜势（OFP）评估了VOCs大气化学反应活性,并通过潜在源区贡献（PSCF）和浓度权重轨迹（CWT）方法分析了嘉善春、夏季O₃潜在源区贡献特征。研究发现：O₃日变化特征为单峰结构,NO_x为弱双峰结构。O₃浓度在3—9月较高,春、夏季O₃浓度峰值分别出现在15：00和14：00,春、夏季的NO_x、O₃日变化与2017年全年日变化趋势基本一致。NO_x对O₃存在滴定作用,且低湿高温有利于O₃浓度的升高。春、夏季O₃生成潜势贡献均表现为烯烃 > 芳香烃 > 烷烃,由于烯烃光化学活性较高,夏季烯烃浓度升高导致其贡献较春季增长约18.1个百分点,且夏季VOCs平均最大O₃增量反应活性高于春季。PSCF和CWT分析结果表明,嘉善春季的潜在源区主要为本地、西南方向和东南方向,夏季的潜在源区主要为本地、西北方向、西南方向以及东南方向。     

Magnetotactic bacteria: Characteristics and environmental applications

• Magnetotactic bacteria (MTB) synthesize magnetic nanoparticle within magnetosomes. • The morphologic and phylogenetic diversity of MTB were summarized. • Isolation and mass cultivation of MTB deserve extensive research for applications. • MTB can remove heavy metals, radionuclides, and organic pollutants from wastewater. Magnetotactic bacteria (MTB) are a group of Gram-negative prokaryotes that respond to the geomagnetic field. This unique property is attributed to the intracellular magnetosomes, which contains membrane-bound nanocrystals of magnetic iron minerals. This review summarizes the most recent advances in MTB, magnetosomes, and their potential applications especially the environmental pollutant control or remediation. The morphologic and phylogenetic diversity of MTB were first introduced, followed by a critical review of isolation and cultivation methods. Past research has devoted to optimize the factors, such as oxygen, carbon source, nitrogen source, nutrient broth, iron source, and mineral elements for the growth of MTB. Besides the applications of MTB in modern biological and medical fields, little attention was made on the environmental applications of MTB for wastewater treatment, which has been summarized in this review. For example, applications of MTB as adsorbents have resulted in a novel magnetic separation technology for removal of heavy metals or organic pollutants in wastewater. In addition, we summarized the current advance on pathogen removal and detection of endocrine disruptor which can inspire new insights toward sustainable engineering and practices. Finally, the new perspectives and possible directions for future studies are recommended, such as isolation of MTB, genetic modification of MTB for mass production and new environmental applications. The ultimate objective of this review is to promote the applications of MTB and magnetosomes in the environmental fields.     

Removal of trace Cr(VI) from aqueous solution by porous activated carbon balls supported by nanoscale zero-valent iron composites

Environmental Science and Pollution Research - In this study, porous activated carbon balls supported by nanoscale zero-valent iron composites (Fe@PACB-700) were used for the first time for the...     

火灾发生率空间分异及影响因素研究

为了探究我国火灾空间聚集特征与影响因素的空间异质性,采用全局莫兰指数、局部莫兰指数、逐步回归模型、地理加权回归模型、地理探测器方法对我国地级市单元进行研究。研究结果表明:我国火灾发生率具有显著的聚集性;我国火灾发生率较低的“冷点”区域有1个,火灾发生率较高的“热点”区域有4个;人均GDP、城镇居民人均可支配收入、人口密度、年平均气温4 个因素的影响效应具有空间异质性。人均GDP与火灾发生率为正相关,另外3影响因素对火灾发生率的作用表现出正负2种相关关系;2因素交互作用要比单因素作用于火灾发生率时影响力更显著,各影响因素的交互作用类型有非线性增强型和双因子增强型2种。     

Prediction of the adsorption capability onto activated carbon of a large data set of chemicals by local lazy regression method

Accurate quantitative structure–property relationship (QSPR) models based on a large data set containing a total of 3483 organic compounds were developed to predict chemicals’ adsorption capability onto activated carbon in gas phrase. Both global multiple linear regression (MLR) method and local lazy regression (LLR) method were used to develop QSPR models. The results proved that LLR has prediction accuracy 10% higher than that of MLR model. By applying LLR method we can predict the test set (787 compounds) with Q²_ext of 0.900 and root mean square error (RMSE) of 0.129. The accurate model based on this large data set could be useful to predict adsorption property of new compounds since such model covers a highly diverse structural space.