洗车废水混凝剂的选择

实验采用混凝工艺对洗车水进行预处理,选用4种无机混凝剂和1种有机混凝剂进行对比试验研究,通过实验结果分析确定了最佳药剂及其最佳投药量。     

制定无组织排放恶臭物质浓度控制标准值的技术路线探讨

本文参考国外资料、结合我国国情,论述了制定无组织排放恶臭物质浓度控制标准值的技术路线。并以氨为实例,就其嗅阈值的确立,及六级强度等级,人群可适应性实验,阐明了控制标准值确立的方法和程序。确立的8种恶臭物质的控制标准,均基于大量实验数据,具有较好的实用性和科学性。      

电除尘器电源交流分量对PM_(2.5)等细微颗粒物除尘效率的影响

除尘器对颗粒物的除尘效率与颗粒物的荷电量密切相关,PM2.5等细小颗粒物由于其荷电量不足而导致其吸收效率较低,对环境造成危害。为了增加粒子的荷电量,以粒子荷电原理为理论依据,从离子电流密度和通过电凝并扩大尘粒中位径2个方面研究了电除尘电源中交流电压分量对PM2.5等细小颗粒物荷电特性的影响,得出了电除尘器电源中交流电压分量可从以上2个方面提高装置对PM2.5等微小颗粒物的荷电量,且频率越高,幅值越大,荷电效果越好,从而可以提高装置对细小颗粒物的除尘效率。     

排污总量核定中的主要问题及解决途径

排放污染物总量核定是排放污染物总量控制中的一项难度很大的基础工作。文章针对目前排污总量核定中存在的环境监测硬件投入不足、体系不完善、可操作性不强、法律效力不够和规范化管理不力等问题 ,提出了排污总量核定应形成一项基本的工作制度 ,应加强排污总量核定体系的运行和监督管理。     

月湖底栖动物的空间格局及其对水草可恢复区的指示

底质适宜是富营养湖泊恢复沉水植物(水草)的重要前提。大型底栖动物可综合指示底质的污染程度,于2002~2003年在武汉月湖开展了底栖动物水平分布对水草可恢复区指示作用的研究。首先通过月湖底栖动物与环境的相关分析,选择颤蚓科寡毛类作为底质营养状况的指示类群,然后利用同类湖泊群颤蚓与水草数据分析阈值,初步确定颤蚓密度≤100 ind/m2的底质适合水草生长,最后绘制月湖颤蚓分布的水平等值线,显示水草恢复的合适区域。在此基础上构建了应用底栖动物空间格局指示水草恢复区的技术原理框架。     

城市蔓延、私人交通与雾霾污染

本文选取中国280个地级市2009—2018年的面板数据为研究样本,探究城市蔓延与雾霾污染之间的作用机制。以私人交通为门槛变量,考察城市蔓延对雾霾污染的门槛效应。研究结果表明：(1)城市蔓延对雾霾污染的影响呈现出先降后升的U形曲线特点;(2)私人交通对雾霾污染的影响表现为倒U形的曲线特征,即随着私人交通发展水平的提高,雾霾污染呈现先增后减的趋势;(3)城市蔓延对雾霾污染的影响存在双重门槛效应,当私人交通的门槛值小于第一个门槛值(e^11.6130=110 525辆)时,城市蔓延会加剧雾霾污染;当私人交通的门槛值介于第一个门槛值和第二个门槛值(e^12.2473=208 417辆)之间时,城市蔓延对雾霾污染的影响系数为正,但未通过显著性检验;当私人交通跨过第二个门槛值时,城市蔓延水平的提高有助于抑制雾霾污染。研究城市蔓延、私人交通与雾霾污染这三者之间的关系对于促进城市的健康可持续发展具有重要的意义。     

我国南方水稻产地镉环境质量类别划分技术

针对我国耕地质量类别划分技术及方法体系不完善的现状,提出应用物种敏感性分布法(SSD)基于不同保护率建立"优先保护类、安全利用类和严格管控类"的土壤镉划分阈值,并对其合理性和科学性验证.结果表明,我国南方水稻产地土壤p H、土壤有机质(SOM)和阳离子交换量(CEC)对水稻富集镉的影响均达到了极显著水平(P <0.01),并由其构建的三因子生物有效性模型可解释水稻富集系数62.0%的变异;水稻对镉的SSD曲线表明,不同水稻品种对镉的敏感性差异明显,主要与其基因型相关;依据SSD曲线基于保护率为80%和5%推导出我国南方水稻产地"优先保护类和严格管控类"的土壤镉划分阈值分别为0.26 mg·kg^-1和1.67 mg·kg^-1,且当土壤镉≤0.26 mg·kg^-1时划分为优先保护类耕地,土壤镉≥1.67 mg·kg^-1时划分为严格管控类耕地,土壤镉介于0.26～1.67 mg·kg^-1时划分为安全利用类耕地,并通过134组独立数据验证其具有一定合理性和科学性.本研究表明应用S...     

Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology

IntroductionAnalyzing key factors of motorcycle accidents is an effective method to reduce fatalities and improve road safety. Association Rule Mining (ARM) is an efficient data mining method to identify critical factors associated with injury severity. However, the existing studies have some limitations in applying ARM: (a) Most studies determined parameter thresholds of ARM subjectively, which lacks objectiveness and efficiency; (b) Most studies only listed rules with high parameter thresholds, while lacking in-depth analysis of multiple-item rules. Besides, the existing studies seldom conducted a spatial analysis of motorcycle accidents, which can provide intuitive suggestions for policymakers. Method: To address these limitations, this study proposes an ARM-based framework to identify critical factors related to motorcycle injury severity. A method for parameter optimization is proposed to objectively determine parameter thresholds in ARM. A method of factor extraction is proposed to identify individual key factors from 2-item rules and boosting factors from multiple-item rules. Geographic information system (GIS) is adopted to explore the spatial relationship between key factors and motorcycle injury severity. Results and conclusions: The framework is applied to a case study of motorcycle accidents in Victoria, Australia. Fifteen attributes are selected after data preprocessing. 0.03 and 0.7 are determined as the best thresholds of support and confidence in ARM. Five individual key factors and four boosting factors are identified to be related to fatal injury. Spatial analysis is conducted by GIS to present hot spots of motorcycle accidents. The proposed framework has been validated to have better performance on parameter optimization and rule analysis in ARM. Practical applications: The hot spots of motorcycle accidents related to fatal factors are presented in GIS maps. Policymakers can refer to those maps straightforwardly when decision making. This framework can be applied to various kinds of traffic accidents to improve the performance of severity analysis.     

Development of inherent safety and health index for formulated product design

The numerous formulated products which are introduced to the market consist of chemical ingredients that may cause various safety and health hazards to the consumers. Therefore, it is extremely important to practice a systematic methodology to formulate products with acceptable safety and health performances. This work presents an index-based methodology to assess the safety and health hazards of the ingredients during the early formulation stage of product design. Hence, new inherent safety and health sub-indexes are introduced to improve the current safety and health hazards that are needed in formulated product design. The inherent safety and health sub-indexes are assigned with scores based on the degree of potential hazards. A higher score indicates a higher safety risk or severe health effect, and vice versa. The proposed methodology will greatly assist the users to identify the adverse safety and health effects caused by the ingredients. Hence, it is pivotal to eliminate or reduce the safety and health impacts from product usage. A case study on common ingredients used in the formulation of paint is presented on this study to describe the proposed method.     

锅炉鼓引风量的合理配比与提高锅炉热效率和环保效果的研究

通过对锅炉鼓引风量配比进行适量调整和对原除尘器S挡板的改进，达到了提高锅炉热效率和环保效果的目的，同时提出了一些相关建议。