探究环境监测数据在环境执法中的应用

伴随经济发展的迅速,人们对环境越来越重视,国家也制定了相应的环境执法与保护措施,保障环境质量。在环境执法的过程中,必须严格依照环境监测的数据,从而保障信息的准确性,使环境执法策略的开展能够顺应时代发展,符合目前发展的现状。因此,环境执法中环境监测数据占据重要的位置。基于此,本文分析了环境执法中环境监测数据的应用,笔者根据自身经验提出相应的建议。     

How can process safety and a risk management approach guide pandemic risk management?

The coronavirus disease (COVID-19) brought the world to a halt in March 2020. Various prediction and risk management approaches are being explored worldwide for decision making. This work adopts an advanced mechanistic model and utilizes tools for process safety to propose a framework for risk management for the current pandemic. A parameter tweaking and an artificial neural network-based parameter learning model have been developed for effective forecasting of the dynamic risk. Monte Carlo simulation was used to capture the randomness of the model parameters. A comparative analysis of the proposed methodologies has been carried out by using the susceptible, exposed, infected, quarantined, recovered, deceased (SEIQRD) model. A SEIQRD model was developed for four distinct locations: Italy, Germany, Ontario, and British Columbia. The learning-based approach resulted in better outcomes among the models tested in the present study. The layer of protection analysis is a useful framework to analyze the effect of different safety measures. This framework is used in this work to study the effect of non-pharmaceutical interventions on pandemic risk. The risk profiles suggest that a stage-wise releasing scenario is the most suitable approach with negligible resurgence. The case study provides valuable insights to practitioners in both the health sector and the process industries to implement advanced strategies for risk assessment and management. Both sectors can benefit from each other by using the mathematical models and the management tools used in each, and, more importantly, the lessons learned from crises.     

Comprehensive Environmental Investigation at Former Industrial/Petroleum Underground Storage Tank Sites in Long Beach,CA: A Forensic Perspective

Two industrial sites were investigated based on years of available hydrogeologic information and monitoring data for soil and groundwater. Collected data were forensically evaluated using age-dating and fingerprinting methods. The previous business uses of the project sites were as a gas station, laundry/dry-cleaning service, and car wash with petroleum underground storage tanks (USTs). As a result, these sites were exposed to a number of toxic contaminants at relatively high concentrations. Source control was necessary for successful remediation and the ultimate removal of the remaining compounds from these industrial sites. Although contaminated soil around the source was excavated during the remedial action and the high concentrations of contaminants were reduced, typical groundwater contaminants such as petroleum hydrocarbons as gasoline (TPH-G), benzene, toluene, ethylbenzene, xylenes (BTEX), and oxygenates including methyl tert-butyl ether (MTBE), diisopropyl ether (DIPE), ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), and tert-butyl alcohol (TBA) were persistently found at the studied sites around the source points. The plume and concentration of contaminants had changed their shapes and strength for all monitoring periods. Thus, additional source control seems to be a requirement for the complete removal of source contamination, which must be ascertained with groundwater and soil monitoring on a regular time base. For the study sites, monitored natural attenuation was relatively feasible for the long-term plan; however, it did not offer a perfect remediation solution for an ultimate goal because of residual toxic compounds that might have affected the surrounding residential areas at higher concentrations than their health limits. Therefore, as a remediation strategy, the combination of clean-up technology and natural attenuation with monitoring activities are more highly recommended than either clean-up or natural attenuation used separately.     

动态稀释校准仪对VOCs自动监测系统的影响

基于环境空气VOCs自动监测系统中动态稀释校准仪在相同稀释比和不同稀释流量条件下,对仪器测试结果误差的影响进行研究,指出了当前环境空气VOCs自动监测普遍使用的校准仪的不足之处。选取臭氧前体物(PAMS) 57种有机化合物,以不同稀释总流量,分别测试0. 5和1. 0 nmol/mol的平均检出限以及平均回测偏差,结果显示,在输出流量1 000 m L/min时,平均检出限分别在0. 02～0. 17和0. 01～0. 10 nmol/mol;平均回测偏差在-12%～26%和-28%～10%。当总输出流量 1 000 m L/min时,多点曲线各浓度点重复性5%。     

江苏省水质全要素代表性监测体系的设计

为了评价并进行城市水环境质量考核排名,介绍了江苏省组织开展涵盖地表水、饮用水、地下水、近岸海域和城市内河5种类型"全要素、代表性"水质监测断面(点位)体系建设工作的情况以及全要素断面设置的基本原则和做法。分苏南、苏北、苏中3个区域,对全省地表水监测代表性进行了量化计算,结果表明,调整后全省水质综合指数极差从41.07降至7.17,标准差从3.16降为0.49;采用德尔斐层次分析法分析,设计了水质代表性指数,含1项一级指标、5项二级指标、12项三级指标,计算表明,调整前全省水质代表性指数得分为69.1分,调整后为88.7分。将调整结果进行论证后再与各市环保主管部门交换意见,取得最终一致后正式实施。     

我国环境监测方法标准体系的现状与发展构想

综述了我国环境监测方法标准体系的发展历程和现状,分析了环境监测方法标准在数量和内容及技术水平等方面不能满足环境管理需要、方法标准体系不健全、科学性有待提高等问题,提出加强环境监测方法标准的顶层设计、构建天地一体化的环境监测方法标准体系、实行动态管理并加强质控、加强监测科研借鉴国际经验等发展构想。     

基于平衡计分卡的大气环境监测数据共享网站绩效评估研究

基于平衡计分卡原理,结合网站特点,建立了大气环境监测数据共享网站绩效评估模型。以共享网站的战略愿景为模型框架的中心,以财务、顾客、内部程序、学习与成长等4个基本维度为一级指标,构建了绩效评估指标体系,并采用层次分析法确定了各指标的权重。利用该模型对长三角区域空气质量预测预报系统和宁波市空气质量预报预警平台的大气数据共享模块进行实证研究,绩效评估结果均为良好。     

环境监测点位“组合校验码”编码模型及编码管理系统设计

分析了环境监测点位编码管理中存在的问题,提出科学合理的编码应该是具有科学性、唯一性、稳定性、简明性、规范性、可扩展性等特点。设计了一种简单"组合校验码"模型来适应不同环境要素类型的环境监测工作需要。同时,设计了一套覆盖各层级环境监测机构,各种环境要素类型,适应市场化监测服务,满足不同点位管控类别的编码管理系统来支撑"组合校验码"模型的使用,通过该系统可以有效解决环境监测数据集成程度低、共享困难等问题。     

环境监测技术服务社会化的政策文本研究

以部分省(市)颁布的29份环境监测技术服务社会化政策为研究样本,将市场准入、监测领域、运行管理和监督制裁作为政策文本的分析框架进行计量分析。部分省(市)相关规定具有一定的创新性,使以往混乱的社会环境监测技术服务市场进一步规范化;但多数省(市)的环境监测技术服务社会化政策存在市场准入条件苛刻、监测领域有待放开、运行管理模式僵化、监督制裁手段单一等难题。最后提出放宽市场准入条件、有序开放监测领域、构建多元管理模式、完善监督制裁体系等4项建议对上述难题予以回应。     

化学药品原料药制造业自行监测技术指南设计研究

通过分析化学药品原料药制造业的基本情况、产品种类和生产工艺,以及自行监测技术指南编制的目的和基本要求,梳理出确定监测点位和对应多项污染物排放标准为目前该行业自行监测技术指南编制工作的难点。根据以上分析,提出将指南按工艺类型拆分、监测点位和废气监测指标的确定、监测频次的优化、生产记录内容的设定列为指南编制工作的重点。