Overview on Air Pollution Control Promoting the Improvement of Ambient Air Quality in Tianjin

To improve ambient air quality and return citizens blue sky and white clouds,national and local administrative departments all issue corresponding countermeasures to strictly prevent and control air pollution,reduce total pollutant emission,and improve environmental management level. In this paper,taking Tianjin as an example,change situation of regional air pollution and its prevention and control management situation were summarized.

Study on Factors Influencing the Quality of Automatic Monitoring Data of Pollution Sources and Technical Assurance Measures

Automatic monitoring data of pollution sources is an important basis for environmental supervision and management.At present,it is difficult to guarantee the quality of automatic monitoring data of pollution sources,and it is difficult to play the role of the monitoring data.In response to this problem,the factors influencing the quality of automatic monitoring data of pollution sources were analyzed in detail,and technical assurance measures for the quality of automatic monitoring data of pollution sources in Shandong Province were studied.Besides,the dynamic management and control idea of automatic monitoring of pollution sources was proposed,and specific technical measures were analyzed from five aspects of standardizing automatic monitoring equipment of pollution sources,improving the data collection and transmission system,establishing a mechanism for reporting operating status information of monitoring equipment,setting alarm rules and alarm processing procedures,and statistically analyzing the operating status of the equipment.Practice has proved that the dynamic management and control system can effectively ensure the quality of automatic monitoring data of pollution sources.

Assessment of Gaseous and Particulate Pollutants in the Ambient Air in Al Mirfa City, United Arab Emirates

From 2007-2009, National Energy and Water Research Center (NEWRC) on behalf of Abu Dhabi Water and Electricity Authority (ADWEA) conducted a long term baseline study of nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3) and particulate matter 2, SO2, and 8 hour average of CO were within the acceptable levels of 400, 300 and 30,000 μg/m3 respectively, whereas the levels of O3 as 8 hour average (3) and PM10 (3) occasionally exceeded the FEA permissible limits during the study period. Seasonal variation based on three years data reveals that the highest concentration of NO2 and SO2 were during winter and for CO and O3 during summer months. Results indicate that the levels of SO2 and CO were significantly controlled and improved while the fuel combustion of Al Mirfa power plant had increased from 2007 to 2009. Dust has significantly impact on the air quality by elevated levels of PM10 exceed in several instances associated with regional sand- storm during the monitoring period.

Implementation of the Air Quality Monitoring Network at Agadir City in Morocco

Air pollution is a major global issue with widely known harmful effects on human health and the environment. This pollution is a very complex phenomenon given the diversity of pollutants that may be present in the atmosphere. The air quality in urban areas is of a great concern for residents living in cities and represents a current issue that requires an adequate management. So that air quality policy is driven by health concerns. In this paper, we present an overview on the experience of Agadir city to establish the air quality management policy, local authority on the whole have developed a good understanding of air quality in the area. Indeed for several years, efforts have been made to monitor the air quality in this city, this translated by air quality assessment since 2006 using mobile laboratory and fixed station. Our goals in this study were to review the operation of Local Air Quality Management (LAQM) making better use of available resources to improve its outcomes and make recommendations with a view to improving air quality issues. This work highlights the requirement to revise periodically the LAQM for generating priority for air quality issues within local authority and the need to implement the optimizing Air Quality Monitoring Network (AQMN).

Research on Decision Support System (DSS) of Atmospheric Environment Management in Anhui Province Based on Air Quality Forecasting

With the atmospheric stereoscopic monitoring, air quality forecasting and decision of environment management as the main line, and comprehensive management system as the guidance, five platforms including infrastructure, technological support, monitoring and early monitoring, decision support and information services were established. These platforms have 15 subsystems, including stereoscopic monitoring network, visual business consultation, high-performance computing environment, comprehensive management of atmospheric data, emission inventories of pollu-tion sources, evaluation tools of atmospheric models, monitoring and management of air pollution, forecasting and early warning of air quality, diag-nostic analysis of atmospheric environment, tracking of air pollution sources, emergency management of air pollution, conformity management of air quality, comprehensive display of information, releasing of information to external networks, and releasing of information by mobile networks. The decision support system （DSS） of atmospheric environment management could realize an integration business system of 11 air quality forecast - heavy pollution weather warning - diagnosis of pollution causes （dynamic analysis of pollution sources） -air quality conformity planning （air pollu-tion emergency management） -evaluation of forecasting and warning results （evaluation pf management measures） -air quality forecasting＂ and provide the technical support for the prevention and control of atmosphere pollution in Anhui province.

A methodological framework for improving air quality monitoring network layout.Applications to environment management

This work aims to provide a methodology framework which allows to improve the performance and efficiency of an air quality monitoring network(AQMN).It requires to be constituted by a minimum and reliable number of measurement sites.Nevertheless,the AQMN efficiency should be assessed over time,as a consequence of the possible emergence of new emission sources of air pollutants,which could lead to variations on their spatial distribution within the target area.PM_(10)particles data monitored by the Community of Madrid's(Spain)AQMN between 2008 and 2017 were used to develop a methodology to optimize the AQMN performance.The annual spatial distribution of average PM_(10)levels over the studied period monitored by all current stations vs those more representative was provided by a geographic information system(GIS),and the percentage of similarity between both postulates was quantified using simple linear regression(>95%).As one innovative tool of this study,the practical application of the proposed methodology was validated using PM_(10)particles data measured by AQMN during 2007 and 2018,reaching a similitude degree higher than 95%.The influence of temporal variation on the proposed methodological framework was around 20%.The proposed methodology sets criteria for identifying non-redundant stations within AQMN,it is also able to appropriately assess the representativeness of fixed monitoring sites within an AQMN and it complements the guidelines set by European legislation on air pollutants monitoring at fixed stations,which could help to tackle efforts to improve the air quality management.

Air Pollution in Major Chinese Cities: Some Progress, But Much More to Do

Background: Ambient (outdoor) air pollution has been implicated as a major cause of acute cardiovascular and pulmonary illnesses and increased risk for acute and chronic effects after chronic exposures, including mortality and morbidity. In 2008, due to persistent health concerns about its workforce and their dependents, the US Mission in China began monitoring air quality at the US Embassy in Beijing. Subsequently, monitoring stations were also established at US consulates at Shanghai (2011), Guangzhou (2011), Chengdu (2012), and Shenyang (2013). Objectives: To determine whether there have been definable trends in air quality in these five Chinese cities. Methods: Air monitoring results from each locale for accumulated PM2.5 particulate matter were calculated hourly. Accumulated data were organized, culled using a standardized set of heuristics, and analyzed for trends. Results: China’s capital city, Beijing, experienced decreased PM2.5 from 2013 through 2015, but no significant long-term downward trend from 2008 through 2015. Shanghai has not shown any definable air quality trend since 2012. Chengdu experienced some improvement in air quality since 2013, but none discernible from 2012 through 2015. Guangzhou had generally better air quality, and a downward trend since 2012. Shenyang experienced increasingly severe air pollution from 2013 through 2015. Conclusion: There appear to have been recent tangible, though modest, improvements in air quality in three large Chinese cities: Beijing, Chengdu, and Guangzhou, but no apparent progress in Shanghai, and a worrisome decline in air quality observed in Shenyang. Despite recent progress, there is a long way to go before even the cities which show improvement reach Chinese standards.

Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing:a review

Effectively monitoring urban air quality,and analyzing the source terms of the main atmospheric pollutants is important for public authorities to take air quality management actions.Previous works,such as long-term obser-vations by monitoring stations,cannot provide customized data services and in-time emergency response under urgent situations(gas leakage incidents).Therefore,we first review the up-to-date approaches(often machine learning and optimization methods)with respect to urban air quality monitoring and hazardous gas source anal-ysis.To bridge the gap between present solutions and practical requirements,we design a conceptual framework,namely MAsmed(Multi-Agents for sensing,monitoring,estimating and determining),to provide fine-grained concentration maps,customized data services,and on-demand emergency management.In this framework,we leverage the hybrid design of wireless sensor networks(WSNs)and mobile crowdsensing(MCS)to sense urban air quality and relevant data(e.g.traffic data,meteorological data,etc.);Using the sensed data,we can create a fine-grained air quality map for the authorities and relevant stakeholders,and provide on-demand source term estimation and source searching methods to estimate,seek,and determine the sources,thereby aiding decision-makers in emergency response(e.g.for evacuation).In this paper,we also identify several potential opportunities for future research.

环境空气监测用氮中甲烷气体标准物质质量评估

为了解和掌握当前环境空气非甲烷总烃监测所使用的氮中甲烷气体标准物质的质量状况,通过对全国范围内开展环境空气非甲烷总烃监测的实验室中的99家进行使用情况调查,发现共涉及35家制造商。选择其中使用占比较高的10家,另外再随机选取6家,通过匿名采购等方式获取31瓶氮中甲烷气体标准物质。经两家测试单位分别测试后,采用归一化偏差(E_(n))法和相对偏差法两种方法评价所选标准物质的量值准确性和监测适用性,同时依照相关国家计量技术规范评估其证书完整性和规范性。结果显示,两种方法的评价结果一致。16家制造商中,14家的27瓶气体标准物质定值准确,2家的4瓶气体标准物质定值不准确;9家证书相对完整、规范,其余7家普遍存在缺少标准物质唯一标识等问题,部分制造商甚至存在涉嫌冒用证书、证书中的定值浓度超出认定范围等问题。鉴于氮中甲烷气体标准物质是保障非甲烷总烃监测结果准确性、可比性和可溯源性的重要基础,且制造商数量众多,建议使用者加强标准物质质量评估工作,并审查其所附证书的规范性。

信息化背景下环境空气监测现场采样质控措施

在信息化背景下,环境空气监测现场采样质控措施对于确保数据准确性和环境监测站点的稳定运行至关重要。本文探讨了信息化背景下环境空气监测现场采样质控措施的重要性,包括采样设备校准、采样点设置、采样过程监控以及数据质量评估等方面,通过实施有效的质控措施,能够保障环境空气监测数据的准确性和可靠性,为环境保护和决策制定提供科学依据。

辐射环境空气自动监测站故障及处理的研究

随着核电事业的快速发展和核技术应用的不断扩大,辐射环境安全问题日益受到社会关注。辐射环境空气自动监测站作为监测环境辐射水平的重要设施,在保障公众健康、维护社会稳定方面发挥着不可替代的作用。然而,由于自动监测站长期在野外运行,设备老化、供电系统不稳定、网络通信故障等问题频发,严重影响了监测数据的准确性和时效性。因此,开展辐射环境空气自动监测站故障与处理的研究,对提高监测站运行效率、保障监测数据质量具有重要意义。

水质自动监测质量管理体系与质控措施研究

水质自动监测系统是通过应用物联化技术、自动测量技术、传感技术以及预警监测等技术连续监测和远程监控水质变化情况的在线自动监测系统。水质自动监测站是国家监测网络的重要组成部分,其数据能反映水环境质量现状及变化趋势,是评价水体污染治理成效的重要依据,同时也是污染物溯源追踪、支撑生态环境执法的重要手段。为了保证自动监测数据真、准、全,需建立完善质量管理体系和通过内部质控与外部质控相结合的方式落实好质量控制措施,保障水质自动监测站持续有效运行。

环境空气自动监测中的质量保证和质量控制研究

工业的快速发展对生存环境造成了严重污染。当前,大多数城市的灰霾现象比较严重,不仅影响城市环境,而且对人体健康也有很大的影响。因此,开展环境空气自动监测对于全面掌握该地区的空气质量状况、预测其发展趋势、制定防治对策、改善空气质量具有十分重要的意义。

环境空气自动监测质量控制与保障措施研究

环境空气质量监测是环境保护工作的重要组成部分,对于及时了解空气质量状况、预防和控制污染具有重要意义。随着技术的发展,环境空气自动监测已成为主流监测方式,然而,如何确保自动监测数据的准确性、可靠性和可比性,是当前面临的重要问题。本文从环境空气自动监测质量控制的意义与现状出发,深入研究环境空气自动监测质量的控制方法与措施。这些措施旨在提高监测数据的准确性,确保其在环境管理和决策中的有效应用。

环境空气自动监测站运维管理策略分析

在城市空气质量监测中,环境空间自动监测站发挥着重要作用,因此,要保障监测站的安全可靠性运行,保障监测数据具有代表性、准确性、精密性、完整性,为城市环境监控治理工作的开展提供数据来源。文章主要对空气自动监测站运维管理策略进行分析,旨在进一步提高环境空气自动监测站运行的安全可靠性,减少异常问题的出现,促进环境空气监测结果准确性的提升,从而为空气环境治理和保护提供更加详细的数据依据。

解决空气质量监测数据变异性和准确性的策略

本文讨论了在空气质量监测中解决变异性和准确性问题对质量控制的重要性,重点强调了环境条件、仪器精度和采样方法对变异性和准确性的影响。文章阐述了标准化采样和分析程序的必要性,定期校准和维护监测设备以及数据质量的评估方法。同时,还探讨了质量控制的未来发展趋势,如集成自动化系统、高级数据处理及公众参与,强调这些方面在提高空气质量监测和政策制定有效性方面的作用。

泸州环境空气自动监测PM_(2.5)和PM_(10)质量浓度“倒挂”现象及原因分析

选取2022年泸州市4个国控点PM_(10)、PM_(2.5)以及温湿度数据,分析不同月份、不同颗粒物浓度范围、不同温湿度下的PM_(2.5)和PM_(10)质量浓度的“倒挂”现象。结果表明:4个国控点均存在PM_(2.5)和PM_(10)浓度“倒挂”现象,其中小市上码头国控点1—2月小时值连续出现“倒挂”,这种现象与监测设备系统误差、温湿度等因素均有关,更与PM_(2.5)仪器动态加热系统异常和维护不到位有关。这种异常“倒挂”很难在巡检和质控时发现,但可以通过点位间数据对比间接判断,从而及时维修或更换监测备机。纳溪区环保局国控点日均值未出现“倒挂”,但小时值“倒挂”率高达9.3%,应重点关注动态加热系统运行状况、加强日常巡检维护和采样流量校准以减轻低浓度时的系统误差影响。

环境空气自动监测中的质控要点思考

在环境空气自动监测中,科学质控技术可以更好地保证监测质量和监测水平,进而获得准确完整的信息数据。现今时代是信息化时代和数字化时代,在质控中合理应用信息技术可以进一步提高质控效果,更好地提升环境空气自动监测的自动化程度。本文也将目光集中于此,主要讨论了加强环境空气自动监测质控的必要性,分析了环境空气自动监测中的质控要点,希望通过本文的探讨和分析,可以为相关工作人员提供更多的参考与帮助,从而通过质控提高环境空气自动监测工作质量。

地方环境空气自动监测系统社会化运维存在问题的几点思考

环境保护问题是现阶段备受关注和重视的社会焦点问题,而环境空气自动监测系统社会运维工作的有效落实可以更好地收集大气环境数据,明确环境空气存在的问题,从而为环境治理提供更多的信息参考和数据借鉴。本文也将目光集中于此,从社会化运维的概念定义、地方环境空气自动监测系统社会化运维现存的问题及解决策略等多个角度展开论述,希望通过本文的探讨和分析,可以为相关单位提供更多的参考与借鉴。