A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

工业废水毒性评估与致毒物质鉴别技术进展

综述了工业废水毒性的化学评估方法、生物毒性评估方法、毒性鉴定评估(TIE)程序以及效应引导的毒物鉴别分析(EDA)中污染物提取、分离、毒性测试、致毒物质识别等技术。指出,工业废水毒害风险评估方法正逐渐向化学分析与生物毒性测试相结合的关键致毒物质鉴别方法转变,便捷、高通量是致毒物质鉴别技术的发展方向,质谱技术及替代定性监测技术的发展将提供更为准确、便捷的致毒物质鉴别方法,为工业废水潜在风险防控提供依据。     

模糊综合评价法在钢铁企业安全投资合理性评价中的应用

为了对钢铁企业安全投资进行模糊综合评价,建立了钢铁企业安全投资的评价体系,确定各因素的权重。得出模糊综合评价矩阵,可对各因素进行评价分析;得出某钢铁企业安全投资现状分数为83.9分,等级为较好,需着重加强安全培训、劳保品、工业卫生等人因素方面的投资;在环境方面的投资较合理。     

铁路沿线可燃重气储罐最小隔离区域划分探讨*

为保护铁路线，以某化工厂距离高铁路线最近的丙烯球罐为例，提出丙烯球罐泄漏最小隔离区域划分方法以及2种保护高铁线路方案，利用重气扩散模型和定量风险评价（QRA）软件分别进行丙烯扩散模拟、爆炸模拟，并进行危险与可操作性分析（HAZOP）和保护层分析（LOPA）。结果表明:球罐发生泄漏及火灾爆炸等事故，会给附近铁路线带来严重破坏；丙烯泄漏或球罐因周围其他设备设施或可燃物质着火而温度升高时，保护措施不足；隧道的安全可靠性要高于仅设1道防爆墙，隧道长度需覆盖最小隔离区域的可及范围，在扩散区域内也需设立普通挡墙，在极度危险情况下，需要实施高铁停开等保护措施。     

工业水处理中节能优化控制的研究

工业水的处理一直以来都是环境工程当中十分重要的一个环节,而要做好这一环节就需要针对其中存在的问题进行科学合理的优化控制过程,本文从这一点出发,提出工业水处理过程中相关的工作内容。     

秦皇岛市重点工业企业VOCs排放及分布特征

工业企业挥发性有机物(VOCs)污染排放对大气环境影响日益突出,工业源VOCs污染防治成为环境保护的重点工作。为进一步提高秦皇岛市工业源挥发性有机物(VOCs)治理的科学性、针对性和有效性,对2019年秦皇岛市重点排污企业VOCs的排污量、区域分布、排放行业等进行了详细调查分析:秦皇岛市重点工业源VOCs排放总量为6875.83t,排放量最大的区域是秦皇岛经济技术开发区,占比51.1%;排放量最大的行业是交通运输设备制造业,占总排放量的33.5%;溶剂使用源的排放量最大,占比52.3%。     

工业园区开展环保管家服务的意义和途径

环保是我国在发展中较为重视的一个工作内容,为了能够顺利地做好城市环保工作,在2016年提出了"环保管家"这个环保概念,通过这个理念推动环保服务业的发展。但是由于该理念提出的时间尚短,所以在实施阶段出现了较多的阻力,导致环保管家并没能实现方案提出的预想效果。鉴于环保管家对工业园区工作的重要性,本文将分析环保管家在工业园区开展的意义以及途径,希望能对相关从业人员的工作有所启发。     

Determination of emergency assembly point for industrial accidents with AHP analysis

Major industrial accidents, which are a type of technological disaster, are very important due to the security risks and financial damages that threaten the environment and human health in today's industrialization. In this study, it was aimed to propose an approach that will guide the decision makers to choose the emergency assembly point that should be in the distance or shelter where the employees will be not affected by the negative consequences of emergencies within the scope of the obligation of industrial establishments preparing an internal emergency plan for major industrial accidents. For this purpose, in the first stage, modelling studies were carried out with ALOHA (Areal Locations of Hazardous Atmospheres) Software over possible accident scenarios in an industrial establishment containing different types and amounts of hazardous chemicals. As a result of modelling studies, possible toxic emissions, fire and explosion effect distances and threat zones for the industrial establishment were obtained. In the second stage, the weights of the main and sub-selection criteria to be used in determining the assembly point were calculated. This stage was carried out based on the comparison data obtained as a result of the questionnaire applied to professionals with the help of AHP (Analytic Hierarchy Process) method, which is one of the multi-criteria decision making methods. In the last stage, three candidate points were selected considering the physical effect areas determined in the first stage in the boundaries of the establishment, where the employees were evaluated to be affected the minimum from the negative consequences of industrial accidents. These candidate points were evaluated again with the AHP method on the basis of the sub-criteria whose relative weights were determined in the second stage and a selection was made. As a result, an approach that provides the solution of our problem was obtained.     

南京市氮氧化物排放行业分布特征及减排对策

采用污染源普查资料与实地调查相结合的方法,对南京市各行业氮氧化物(NOx)排放源及排放量进行调查和梳理。结果表明:各行业NO x排放分担率依次为电力41%、机动车25%、钢铁10%、水泥9%、石化7%、其它工业5%、居民生活3%。针对南京市现状,对重点排放源提出了NO x减排措施与对策。     

企业环境风险评估概述

绘制了企业环境风险评估程序图,根据程序图,企业环境风险评估包括分析计算化学物质数量与其临界量的比值(Q)、评估工艺过程与环境风险控制水平(M)以及环境风险受体敏感性(E)和风险等级划分4个步骤。