Optimized two-level placement of test points for multi-objective air monitoring of the Three Gorges Reservoir area

To fit the complicated geographic conditions of the Three Gorges Reservoir area, a two-level multi-objective monitoring system was developed to monitor the atmosphere of the area. Statistical analysis of environmental monitoring data and the macro control principle were employed to configure the upper layer. The lower layer was designed by the application of the thumb rule to a local terrain and specific point sources of pollution therein. The optimized two-level system comprises an upper layer of 16 monitoring stations distributed at places of diverse geographical, ecological, economical and social characteristics, and a lower layer of 16 sub-machines at each monitoring station of the upper layer. This optimal outcome fits the complicated conditions of the Three Gorges Reservoir area, substantially cuts down the installation cost and the operation cost, and provides accurate monitoring data of atmosphere over the entire area with a high resolution.

Real-Time Air Monitoring of Trichloroethylene and Tetrachloroethylene Using Mobile TAGA Mass Spectrometry

Trichloroethylene (TCE) is a chlorinated liquid that is commonly used for metal degreasing, household and industrial dry cleaning, and in paints and glues. Tetrachloroethylene, also known as perchloroethylene (PCE), is an excellent solvent for organic materials. PCE is volatile, highly stable, non-flammable and widely used in dry cleaning. A new method has been developed for measuring TCE and PCE in ambient air in real-time. Based upon the chemical fingerprinting and concentration levels, the method was able to isolate the source of the emissions to the responsible facility. Real-time monitoring was accomplished by utilizing a low pressure chemical ionization source (LPCI) interfaced to a tandem mass spectrometer (TAGA). Monitoring the response of specific parent/daughter ion pairs, the TAGA was used to measure concentrations of TCE and PCE. By optimizing various TAGA parameters, detection limits (DL) as low as 0.5 μg/m3 was achieved for TCE and PCE. Unlike methods using cartridge sampling and GC/MS analysis, this new method provides a real time measurement for a wide range of TCE and PCE concentrations. This unique method was applied in 2000 and 2002 to measure TCE emitted from a manufacturer of stainless steel tubing in Eastern Ontario. The maximum half-hour average concentration of TCE measured downwind of the facility was 1300 μg/m3 and the maximum instantaneous level was measured at 115,000 μg/m3. The information collected by the TAGA unit was used by the Standard Development Branch of Ontario Ministry of the Environment to adopt the half-hour Point of Impingement (POI) standard of TCE to be 36 μg/m3 in 2010. This method successfully identified and simultaneously measured TCE and PCE during a 2011 air monitoring survey of a hazardous waste disposal and treatment facility in Southern Ontario.

Monitoring Climate Change and Air Quality Project Initiative: A Case Study of the Collaboration between ECSTAR and TeroSpace in Thailand

In Thailand, the alteration of weather patterns has resulted in an increase in instances of irregular rainfall, contributing to the occurrence of droughts. The decline of water levels in dams, due to the combined effects of climate change and prolonged droughts, has had a significant impact on agricultural productivity. Drought has a profound effect on the terrestrial biosphere and the atmospheric water cycle and can also contribute to air pollution. Researchers have found a strong correlation between air pollution and drought severity. In response to this pressing issue, the Excellence Center of Space Technology and Research (ECSTAR) at King Mongkut’s Institute of Technology Ladkrabang has joined forces with TeroSpace company to launch an initiative aimed at promoting sustainable growth in Chiang Rai, a province in Thailand known for its rich biodiversity. ECSTAR and TeroSpace’s partnership on the sustainable growth initiative in Thailand’s Chiang Rai province focuses on expanding their collaboration to include international organizations such as the Centre National d’Etudes Spatiales (CNES), which will provide access to satellite imagery and climate and weather information to improve decision-making in various areas of development. CNES is a French organization in charge of space-related activities in France. The collaboration between France and Thailand for this project, in the context of the France-Thailand Year of Innovation 2023, will be crucial for the successful initiation and execution of this research project. The project aims to explore the relationship between air pollution and climate change through the deployment of air quality monitoring devices in designated locations, connected to a global data-sharing network. The results of this research will be valuable to policymakers as they consider the interplay between air pollution and climate change and make efforts to address these challenges.

Air quality nearby road traffic tunnel portals: BTEX monitoring

A monitoring campaign of BTEX （benzene, toluene, ethylbenzene, o- m- and p-xylene） was carried out nearby two tunnel portals in the urban area of Naples with the aim to verify air quality in this kind of urban sites. Sampling was carried out using the active adsorption technique. Sampling time was 1 h. Ambient temperature and traffic flow measurements were carried out during each sampling operation. The results indicate that average benzene concentrations at both sites exceed the limit value of 10 μg/Nm^3 established by the European Community （EC） （Dir. 2000/69）. Concentration levels of other BTEX are relatively high as well. A correlation between BTEX concentration and two wheeler vehicle flow was observed.

Real-time air pollution monitoring with sensors on city bus

This paper presents an experimental study on real-time air pollution monitoring using wireless sensors on public transport vehicles.The study is part of the GreenIoT project in Sweden,which utilizes Internet-of-Things to measure air pollution level in the city center of Uppsala.Through deploying low-cost wireless sensors,it is possible to obtain more fine-grained and real-time air pollution levels at different locations.The sensors on public transport vehicles complement the readings from stationary sensors and the only ground level monitoring station in Uppsala.The paper describes the deployment of wireless sensors on Uppsala buses and the integration of the mobile sensor network with the GreenIoT testbed.Extensive experiments have been conducted to evaluate the communication quality and data quality of the system.

Optimization of Air Quality Monitoring Network Using GIS Based Interpolation Techniques

This paper proposes a simple method of optimizing Air Quality Monitoring Network (AQMN) using Geographical Information System (GIS), interpolation techniques and historical data. Existing air quality stations are systematically eliminated and the missing data are filled in using the most appropriate interpolation technique. The interpolated data are then compared with the observed data. Pre-defined performance measures root mean square error (RMSE), mean absolute percentage error (MAPE) and correlation coefficient (r) were used to check the accuracy of the interpolated data. An algorithm was developed in GIS environment and the process was simulated for several sets of measurements conducted in different locations in Riyadh, Saudi Arabia. This methodology proves to be useful to the decision makers to find optimal numbers of stations that are needed without compromising the coverage of the concentrations across the study area.

Radioactivity monitoring in environmental water and air around QNPP

Results of environmental radioactivity monitoring around Qinshan Nuclear Power Plant (QNPP) are reported in this paper. From 1992 to 2005, concentrations of 90Sr, 137Cs and 3H in terrestrial freshwater are (4.4±1.7) mBq·L-1, (0.3±0.1) mBq·L-1 and (1.6±0.5) Bq·L-1, respectively, and (2.8±2.4) Bq·L-1 of 3H in rainwater. Concentrations of 90Sr, 137Cs and 3H in the seawater samples collected from sea area nearby QNPP are (5.4±4.1) mBq·L-1, (0.7±0.2) mBq·L-1 and (1.0±0.5) Bq·L-1, respectively. Concentrations of 90Sr, 137Cs and 3H in the total waste water discharged from NPP-I are (4.0±1.8) m Bq·L-1, (1.0±0.5) mBq·L-1 and (2.8±2.2) Bq·L-1, respectively, and (1.4±0.4) Bq·L-1 of 3H in seawater sampled from No.1 outlet. Atomspheric 3H concentration in 1993～2005 at two monitoring sites is (78.9±96.3) and (64.2±40.2) mBq·m-3, respectively, with an increasing trend after 2003. Atmospheric 14C concentrations at the two sites are in the same levels as the background and data of the reference site.

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).

Air Quality Monitoring and Its Implication on the Environmental Licensing Process in Brazil

In the state of Sao Paulo, Brazil, public policies regarding the air quality aimed at the welfare of the population are strongly dependent on monitoring conducted by the Sao Paulo State Environmental Company (CETESB), which can be influenced by faulty monitors and equipment support and cuts in power supply, among others. A research conducted from 1998 to 2008 indicated that a significant portion of the air quality automatic stations in the state of Sao Paulo did not meet the criterion of representativeness of measurements of PM10, NO2, O3, CO and SO2 concentrations which resulted in the classification of some municipalities as the nonattainment area, a situation evidenced for PM10 and O3 parameters. The network unavailability for each parameter was estimated and compared with the monitoring networks operated in Canada and the UK. This paper discusses the implications of the lack of representativeness of measurements in the environmental licensing process of pollution sources from 2008, when by the effect of state law, municipalities have been qualified according to their air quality nonattainment level.

Low-Cost Sensors Calibration for Monitoring Air Quality in the Federal District—Brazil

Critical situations that cannot be solved by conventional approaches (traditional air quality monitoring networks), have the possibility of being managed quickly by a wide network of portable systems with sensors. The purpose of this research was to calibrate and validate low-cost sensors. Pilot indoor and outdoor areas, in the central area of Brasilia (Brazil’s capital city) were chosen for corporative performance evaluation of the sensors. The CO at 99.999% volumetric injection method has been used in a gas test box, among two MiCS-5521 (CO/VOC) sensors, one being new and the other one with a short useful life. The number of injections adopted to each volume (from 1 ml to 6 ml) was 10, rising each sensor’s confidence interval mean. A increase of the injected volume (ml) of CO resulted in significant decrease in a resistance (Ohms), as shown by a good inverse relationship on the interaction of these two variables (r = 0.88), with good measurement accuracy, when compared to the manufacturer’s reference datasheet. Finally, a geospatial management system was built for the pollution data measured by the low-cost sensors.

Air Pollution Prediction in Warri and Its Environs Using Quality Parameters

Air pollution is a major environmental problem in the Niger Delta Area (NDA) of Nigeria primarily due to oil and gas-related operational activities. Identifiable sources of air pollution in the NDA include gas flaring, vehicle emissions from internal combustion engines, crude oil pollution, etc. The aim of this research is to evaluate the concentration of air pollutants from crude oil-related activities using air quality parameters in Warri during seasons peculiar to the area of study. The Warri metropolis, one of Nigeria’s largest oil cities, was the sampling region under research in this study. An Aeroqual handheld mobile multi-gas monitor fitted with different sensors of (Carbon Monoxide (CO), air quality multi-meter for Particulate Matter (PM2.5 and PM10), Volatile Organic (VOC), Sulphur dioxide (SO2), Ammonia (NH3), Methane (CH4), and air quality index (AQI), was used for the collection of air quality parameter. Linear regression was used to create the model, which was then used to predict the extent of pollution in the locations of study. The average mean concentrations of air pollutants such as CO, NO2, CH4, VOC, NH4, and SO2 were measured at all sampling sites during wet and dry seasons. The results showed that the levels of these pollutants were above the WHO permissible limits for the majority of the air quality parameters studied in all sixteen locations. The concentration levels of most of the pollutants were higher in the dry season than in the rainy season. The study also found that the pollutants were mainly from fossil fuel combustion and road traffic emissions. Overall, the research provided monitoring data for all air quality pollutants under investigation in the study area and demonstrated that these concentrations exceed regulatory guidelines.

室内空气调节系统的研究与设计

车间环境中,生产活动可导致空气质量恶化,极大影响员工身体健康。文章提出了一种空气调节系统,用于监测室内空气粉尘和VOC污染物浓度,适时开启换气系统,使空气参数保持在较高的水平。该系统集成多组粉尘和VOC检测模块和双向换气装置,根据发生空气质量恶化区域自适应调整空气流动路径,有针对性的净化空气。车间外设置风向传感器,根据自然风的风向调整室内换气方向,提高换气效率。各个监测点和执行点利用WiFi实现自组网,点与点之间密切配合,提高系统换气效率。验证试验表明:监测器能够稳定运行,点与点之间配合良好,高效率、针对性实现空气净化,大大改善了车间生产环境。

卫星遥感水利应用进展与展望

监测感知数据是构建数字孪生水利体系的基础,卫星遥感是重要的监测感知手段。随着我国航天事业的蓬勃发展,依托国家科技重大专项、国家重点研发计划等科研项目开展技术攻关,以及国家防汛抗旱指挥系统工程等重大项目的推广应用,水利部构建了“采存算用全自主、遥感处理全链条、主要业务全覆盖、应用服务全贯通”的卫星遥感水利应用技术体系。卫星遥感技术在数字孪生水利数据底板建设、流域防洪、水资源管理与调配、河湖管理、水土保持、水利工程监测监管等业务工作中得到了广泛应用,发挥了显著成效。未来将从持续拓展卫星遥感影像资源、深度融合人工智能技术、强化“天空地”协同监测融合应用等方面,推动卫星遥感水利应用,赋能水利业务。

漏缝地板下粪水贮存周期内猪舍空气环境的监测

[目的]研究漏缝地板下粪水贮存周期内猪舍空气环境,为猪健康生长和生产提供参考。[方法]选取1栋分娩猪舍,测定粪水贮存周期(21 d)内猪舍的空气环境指标。沿猪舍对角线方向均匀选5个测定点,粪水贮存周期内每3 d测1次,每次分别在6:00、11:00、13:00、18:00测定。[结果]猪舍粪水贮存周期内平均温度(26.08±1.45)℃,相对湿度(93.44±3.96)%,氨气质量浓度为(3.58±1.62)mg/m^(3),二氧化碳质量浓度为(1760.63±284.98)mg/m^(3)。第18天的温度、相对湿度、二氧化碳浓度最高,各指标基本与其他测定时间差异显著;第21天氨气浓度最高,与第3天、第6天差异显著;[结论]漏缝地板下粪水贮存周期内,温度略高,相对湿度过高,氨气浓度持续上升但未超过标准,二氧化碳浓度较高,应增加通风设备,改善猪舍空气环境。

移动监测技术在大气环境研究中的应用

移动监测是把用于环境监测的设备安装在移动载体(汽车、自行车、无人机和船等)上,开展环境质量监测的技术。移动监测技术以其灵活、机动、及时等优势,近年来被广泛应用于大气环境监测中,但针对移动监测技术在大气环境研究中的应用场景及其存在的优缺点等缺少系统性研究。通过文献调研的方式对国内外移动监测技术在大气环境研究中的应用进行综述,重点讨论了监测设备及其搭载平台。将移动监测设备划分为传感器和大型设备2类,其中传感器以体积小、成本低等优势被大量应用在无人机、汽车等平台中。大型设备则包括监测仪和分析仪,但由于受到体积和成本的限制多被应用在飞机和船等面积较大的平台中。根据大气环境移动监测设备搭载的平台将其划分为车载移动监测、机载移动监测和船载移动监测三大类,其中车载移动监测主要用于环境质量监测、溯源分析和热点监测、汽车尾气排放监测及空气污染暴露监测等,机载移动监测主要用于环境空气质量监测、溯源分析和热点监测及大气污染物传输监测,船载移动监测主要用于海表大气组分、溯源分析和船舶尾气排放等研究。最后讨论了移动监测平台现有应用中存在的问题(例如覆盖率、续航、数据质量等),并对未来研究进行了展望。

中国北方典型地区人群活动模式特色数据集

本文介绍了《典型地区活动模式特色数据集》(Typical Regional Activity Patterns,TRAP),此数据集依托于“大气重污染成因与治理攻关项目”。为了探索大气污染与体力活动的交互效应,我们在空气污染物浓度高于周边地区的典型区域(济南市和保定市)收集了9,221名不同职业和生活方式居民连续3天的活动模式数据。TRAP数据集包括人口学指标(人口学、职业信息、个人习惯和居住条件)和体力活动模式数据(活动地点和活动强度)信息。此数据集提供了体力活动模式的暴露测量数据,数据使用者可以根据自己的特定目的将其与各种终点指标匹配。此数据集可为探究中国北方居民活动模式属性提供证据,为跨学科研究人员制定健康教育及健康促进策略和措施提供证据。

铁路地质灾害勘察识别与监测预警

地质灾害对铁路建设、安全运营构成了极大威胁,“天空地”一体化综合勘察技术有效解决了地质灾害勘察识别难题。“天”基多源立体卫星遥感技术实现艰险复杂山区地质灾害的大范围精准判识,长时序InSAR与高精度GPS实现高陡岸坡的稳定性监测分析;“空”基真实感大场景、机载倾斜摄影和机载LiDAR扫描技术实现高植被覆盖区隐蔽性地质灾害判识;“地”基三维立体勘探技术获取岩土体结构、属性、参数;共同构建沟谷山地灾害链风险评价方案,为建设工程合理选址和工程设置提供依据。介绍地质灾害监测预警的方法、内容、技术和预警模型,对监测预警技术发展方向进行展望。