Environmental Monitoring Sites Research Articles

Design of NO2 Photoacoustic Detection System Based on Finite Element Simulation

Based on photoacoustic spectroscopy and finite element simulation technology, a simulation model of sound field excitation in a cylindrical resonant photoacoustic cell was established. The finite element simulation method was used to analyze the acoustic mode and sound pressure distribution of the cavity structure of the photoacoustic cell. The effects of the geometric parameters of the resonator and the buffer cavity on the performance of the photoacoustic cell were compared. The frequency response characteristics of the photoacoustic cell and the effects of the air intake and the air outlet were studied. Based on the simulation results, a cylindrical resonant photoacoustic cell was designed, and a photoacoustic sensor for NO2 detection was built. NO2 with a volume fraction of 10−5 was taken as the sample gas through frequency scanning to obtain the frequency response curve of the system. The resonant frequency is 1730 Hz, and the cell constant is about 542.3 (Pa*cm)/W. The quality factor is 10.05. By linear fitting the calibration curve of the sensor, the fitting slope is 0.012 µV/ppb, and R2 is 0.998. Atmospheric NO2 detection was carried out for two consecutive weeks, whose findings are in good agreement with the data released by a Huainan environmental monitoring site. The experimental results show that the system can detect NO2 in the atmosphere with high sensitivity.

Meaningful & Measurable Risk Assessment Tools for Environmental Monitoring Site Selection Program.

The role of Environmental Monitoring has evolved alongside the manufacturing processes and filling technologies its aims to monitor, and so should the risk assessment tools we implement for establishing this important program. Sample site selection, appropriateness of sampling methods, sampling volumes and sampling frequencies are all important components of contamination control for a facility and must be evaluated as appropriate using a robust risk assessment. The types of environmental monitoring required for a robust program will vary based on the type of operation, frequency in which that operation is performed, and the level of risk associated to the process. Learn how to develop a meaningful risk assessment and include measurable risk rankings for 6 applicable categories in biopharmaceutical manufacturing. The process for scoring each of the 6 categories, systematic evaluation of contamination probability and example outcomes will be shared for theoretical EM sites mapped throughout an ISO 5 and 7 cleanroom area, thus ensuring adequate criteria and fair assessment are applied in each case. The methodology for this risk assessment tool will be demonstrated as suitable for environmental monitoring programs during initial site qualification, when evaluating EMPQ results, or when periodically updating the requirements for monitoring during routine operations.

Study on the association between air pollution and respiratory disease of primary school students in Chongqing City

To analyze the association between exposure to air pollution and respiratory disease of primary school students in Chongqing City. Eight districts and counties were randomly selected based on the air pollution situation in Chongqing City. In each selected district and county, one primary school was randomly selected. A questionnaire survey was conducted on all primary school students in Grades 3-5 by the end of 2019. Air quality data from the nearest environmental monitoring sites were collected. A logistic regression model was used to analyze the impact of the living environment, lifestyle and air pollution on the respiratory disease of surveyed students. This study included 5 918 primary school students, with a prevalence rate of respiratory disease of 21.54%. The prevalence rates of boys and girls were 23.38% and 19.59%, respectively. The average Air quality index (AQI) of the surveyed school was 67, and the rates of exceeding standards of PM10, PM2.5, NO2 and O3 were 1.16%, 6.92%, 0.99% and 5.65%, respectively. The level of SO2 and CO did not exceed the standard. After adjusting for relevant factors, logistic regression analysis showed that primary school students in areas with high exposure to air pollution (OR=2.52), using air pollution related-chemicals at home (OR=1.47), passive smoking (OR=1.27), and keeping pets at home (OR=1.18) had a higher risk of respiratory disease (all P<0.05). In addition, the average annual values of AQI (OR=1.18), PM10 (OR=1.20), PM2.5 (OR=1.35), and NO2 (OR=1.11) increased the risk of respiratory diseases in primary school students (all P<0.05). In conclusion, the respiratory disease of primary school students in Chongqing City is related to the living environment, behavior habits and ambient air quality. The increased exposure concentration of PM10, PM2.5 and NO2 in air pollutants can lead to an increased risk of respiratory disease among primary school students.

Stable isotopes contain substantial additive information about terrestrial carbon and water cycling

Stable isotope ratios of H (δ 2 H), O (δ 18O), and C (δ 13C) are linked to key biogeochemical processes of the water and carbon cycles; however, the degree to which isotope-associated processes are reflected in macroscale ecosystem flux observations remains unquantified. Here through formal information assessment, new measurements of δ 13C of net ecosystem exchange (NEE) as well as δ 2H and δ 18O of latent heat (LH) fluxes across the United States National Ecological Observation Network (NEON) are used to determine conditions under which isotope measurements are informative of environmental exchanges. We find all three isotopic datasets individually contain comparable amounts of information about NEE and LH fluxes as wind speed observations. Such information from isotope measurements, however, is largely unique. Generally, δ 13C provides more information about LH as aridity increases or mean annual precipitation decreases. δ 2H provides more information about LH as temperatures or mean annual precipitation decreases, and also provides more information about NEE as temperatures decrease. Overall, we show that the stable isotope datasets collected by NEON contribute non-trivial amounts of new information about bulk environmental fluxes useful for interpreting biogeochemical and ecohydrological processes at landscape scales. However, the utility of this new information varies with environmental conditions at continental scales. This study provides an approach for quantifying the value adding non-traditional sensing approaches to environmental monitoring sites and the patterns identified here are expected to aid in modeling and data interpretation efforts focused on constraining carbon and water cycles’ mechanisms.

Biogenic emissions-related ozone enhancement in two major city clusters during a typical typhoon process

Typhoons could influence air quality via multiple chemical and physical process and has attracted much scientific attention. A typical typhoon, In-Fa, passed through Yangtze River Delta (YRD) and Jing-Jin-Ji (JJJ) after it made a landfall in China. Under such influences, two city clusters both experienced high ozone (O3) concentrations, with JJJ about 5 days earlier than YRD. Data from several environmental monitoring sites and three regional sites indicated that cross-regional transport and biogenic emissions both played an important role in O3 formation. During the typhoon process, O3 precursors were first transported from YRD and its surrounding areas to JJJ due to the summer monsoon. After that, air masses from northern China returned to YRD due to the peripheral winds of the typhoon. High O3 was concentrated in downwind regions, causing fast secondary formation. The peripheral winds and downdrafts of typhoon led to high temperature and stagnant weather, favorable for biogenic emissions. Observed isoprene concentration was doubled. The ratio of isoprene to VOCs also increased by around 5%. The modeling results showed the contribution of BVOCs to O3 could reach 10 ppb in JJJ when the typhoon made its landfall in YRD. When the typhoon moved to JJJ, the cross-transport of air masses from northern China to YRD contributed half of biogenic-emission-related O3. Our research extends the knowledge into the importance of biogenic emissions to O3 and cross-regional transport during a typhoon process.

Estimating PM2.5 concentrations in a central region of China using a three-stage model

ABSTRACT Owing to uneven environmental monitoring site distribution, there are significant spatial data gaps for concentrations of ambient fine particles with diameters ≤ 2.5 µm (PM2.5) obtained using traditional monitoring methods. Satellite products are an alternative data source for locations where monitoring sites are unavailable. The Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) product has been widely used in PM2.5 assessment for years; however, it has obvious data gaps in winter. Here, the Visible Infrared Imaging Radiometer Suite (VIIRS) AOD was applied to supplement MODIS AOD data to obtain a fused AOD dataset. A three-stage model consisting of a corrected AOD model, mixed effects model, and geographically weighted regression model was developed and used with meteorological and vegetation factors to estimate PM2.5. Results showed overall model fitting by cross-validation (CV) with an R2 of 0.92, mean absolute error of 5.72 µg/m3, and root mean square error of 7.15 µg/m3. The combination of MODIS AOD and VIIRS AOD was a suitable method for enhancing AOD coverage. The CV R2 value of the three-stage model (0.92) was higher than that of the two-stage model (0.9). Hence, the three-stage model could achieve a better fit in estimating PM2.5 on a regional scale.

Impact of Smoke Plumes Transport on Air Quality in Sydney during Extensive Bushfires (2019) in New South Wales, Australia Using Remote Sensing and Ground Data

Smoke aerosol dispersion and transport have a significant impact on air quality levels and can be examined by environmental monitoring and modelling techniques. The purpose of this study is to determine the characteristics of the smoke aerosols and the level of air quality during November and December 2019 under the influence of extensive bushfires in the Sydney area, New South Wales (NSW), Australia. To achieve this goal, air quality and meteorological data were analysed in combination with remote sensing satellite measurements. Meteorological and air quality data were obtained from the Bureau of Meteorology (BOM) and Environmental Protection Agency monitoring sites in NSW. In Richmond the daily maximum average hourly concentration of particulate matter (PM10) was 848.9 μg/m3 at 07:00 UTC on 26 November 2019 and 785 μg/m3 at 07:00 UTC on 12 December 2019. On 10 December 2019, the highest PM10 recorded in the Sydney region was 961.5 μg/m3 in St Marys at 01:00 UTC, while the highest PM2.5 concentration was 714.6 μg/m3 in Oakdale in southwest Sydney at 18:00 UTC. These values all decreased again to the standard level (&lt;50 μg/m3) in a few days. The potential sources of smoke aerosols originated from bushfires to the northwest of Sydney (Blue Mountains) as well as from southwest and northwest NSW. The smoke plumes were revealed by the combined AOD values from Aqua and Terra sensors on the MODIS satellite. In each case, the smoke travelled towards the east coast of Australia and out over the Pacific Ocean. The NAAPS model displays the existence of smoke at ground level, while the CALIPSO satellite data showed that the plumes extended 14 km up into the stratosphere layer. Backward trajectories obtained from the HYSPLIT model agree well with the movement of smoke plumes observed in the MODIS satellite images.

Nonlinear associations between environmental factors and lipid levels in middle-aged and elderly population in China: A national cross-sectional study.

Blood lipid is an important factor affecting cardiovascular disease in middle-aged and elderly people. At present, the associations between environmental factors and blood lipid level in elderly people has been controversial, and the nonlinear effect of their relationship is lack of research. This study used data from a national cross-sectional survey of blood lipid levels in 13,354 subjects and data from environmental monitoring sites. Logistic regression was used to measure the relationship between the basic characteristics of the study population and blood lipid levels. After controlling the confounding factors, the nonlinear associations between environmental factors and blood lipid levels of middle-aged and elderly people in different geographical regions were studied by random forest model. The risk of dyslipidemia is significantly higher in middle-aged women, obese people, elderly people, and urban people. Smoking and alcohol consumption increase the risk. The associations between environmental factors and lipid levels of middle-aged and elderly people are nonlinear, the correlation effect between air pollutants and blood lipid level is mainly shown in northern China, and the correlation between meteorological factors and blood lipid level is more obvious in southern China. This study shows that the associations between environmental factors and lipid levels in middle-aged and elderly population are nonlinear and have regional differences. Therefore it should be considered in optimizing the allocation of public health resources and preventing and controlling environmental exposure of middle-aged and elderly population.

Designing and implementing a data model for describing environmental monitoring and research sites

With new technological advancements and increasing demands of open data in environmental sciences, the requirements for data are increasing in a variety of ways. Having machine and human readable documentation about environmental research and monitoring sites available online is one of them. The Dynamic Ecological Information Management System – Site and Dataset Registry (DEIMS-SDR, https://www.deims.org/) is a research and monitoring site registry that allows the description of in-situ observation or experimental sites, generating persistent, unique and resolvable identifiers for each site. The aim of DEIMS-SDR is to collect site information in a catalogue describing a wide range of sites across the globe, providing information including each site's location, ecosystems, facilities, measured parameters and research themes and enabling that standardised information to be openly available. This article describes the outcomes of the revision of its data model, the conceptual considerations behind it and how it is implemented. These conceptual considerations also encompass the definition of what we call the “onion model of site data interoperability” – a fundamental concept for the design of site data models against the backdrop of data interoperability. Furthermore, we illustrate the capabilities of the revised data model and provide an overview of common data formats for the description of sites, current initiatives driving the harmonisation of descriptions and the outlook of future developments.

Effects of short-term exposure to ambient airborne pollutants on COPD-related mortality among the elderly residents of Chengdu city in Southwest China

BackgroundChronic obstructive pulmonary disease (COPD) has become a severe global burden in terms of both health and the economy. Few studies, however, have thoroughly assessed the influence of air pollution on COPD-related mortality among elderly people in developing areas in the hinterland of southwestern China. This study is the first to examine the association between short-term exposure to ambient airborne pollutants and COPD-related mortality among elderly people in the central Sichuan Basin of southwestern China.MethodsData on COPD-related mortality among elderly people aged 60 and older were obtained from the Population Death Information Registration and Management System (PDIRMS). Data on airborne pollutants comprised of particulate matter < 2.5 μm in aerodynamic diameter (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were derived from 23 municipal environmental monitoring sites. Data on weather conditions, including daily mean temperature and relative humidity, were obtained from the Chengdu Meteorological Bureau. All data were collected from January 1, 2015, to December 31, 2018. A quasi-Poisson general additive model (GAM) was utilized to assess the effects of short-term exposure to airborne pollutants on COPD-related mortality among elderly people.ResultsA total of 61,058 COPD-related deaths of people aged 60 and older were obtained. Controlling the influences of daily temperature and relative humidity, interquartile range (IQR) concentration increases of PM2.5 (43 μg/m3), SO2 (8 μg/m3), NO2 (18 μg/m3), CO (0.4 mg/m3), and O3 (78 μg/m3) were associated with 2.7% (95% CI 1.0–4.4%), 4.3% (95% CI 2.1–6.4%), 3.6% (95% CI 1.7–5.6%), 2.7% (95% CI 0.6–4.8%), and 7.4% (95% CI 3.6–11.3%) increases in COPD-related mortality in people aged 60 and older, respectively. The exposure-response curves between each pollutant and the log-relative risk of COPD-related mortality exhibited linear relationships. Statistically significant differences in the associations between pollutants and COPD-related mortality were not observed among sociodemographic factors including age, gender, and marital status. The effects of O3 remained steady after adjusting for PM2.5, SO2, NO2, and CO each time in the two-pollutant models.ConclusionsIncreased concentrations of ambient airborne pollutants composed of PM2.5, SO2, NO2, O3, and CO were significantly and positively associated with COPD-related mortality in the central Sichuan Basin, which is located in the hinterland of southwestern China. The adverse effects of O3 were stable, a finding that should receive more attention.

小尺度海域空间评价单元划分技术研究——以福建省东山湾为例

科学合理的海域空间评价单元划分是各类海洋空间监测、评价、规划和管理的基础工作，对于保护海洋生态环境，实现海洋资源的可持续开发利用具有重大现实意义。然而，海洋的流动性、开放性、边界模糊性等特征，导致海洋空间评价单元划分较陆地而言更为复杂、困难。以福建省东山湾为例，提出一种适用于小尺度海域的空间评价单元划分技术方案，通过从化学属性、物理属性、生物学属性三个方面构建海域空间生态属性划分指标体系，进行空间分类评价，运用插值、叠加分析等GIS技术将东山湾划分为67个基本空间评价单元。研究结果不仅能为进一步划定东山湾海洋空间规划提供技术支持，同时为其他小尺度海域生态监测、评价、规划和管理提供科学参考。;For the sustainable development and utilization of marine resources, and protection of marine ecological environment, coastal countries have successively implemented marine spatial planning (MSP). MSP is considered as an important marine management tool, which is an indispensable part of marine ecological civilization construction in China. Scientific and reasonable division of marine spatial units is the basic work of marine spatial monitoring, evaluation, planning and management, which is of great practical significance for the protection of marine ecological environment and the sustainable development of marine resources. However, the characteristics of the ocean, such as mobility, openness and boundary ambiguity, make the division of marine spatial units more complex and difficult than that of land. In this study, we collect a large number of data from environmental monitoring sites in Dongshan Bay. Based on the comprehensive and detailed data which can capture ecological environment status, we propose a technical scheme of spatial evaluation units division which is suitable for fine-scale sea areas. The scheme constructs the index system for the division of marine spatial evaluation units based on the physical, biological and chemical elements. Combined with GIS technology such as interpolation and spatial overlay analysis, Dongshan Bay is divided into 67 basic spatial evaluation units, which is a more accurate and scientific division of marine spatial units. On the basis of marine spatial units, local government can carry out the marine spatial monitoring, evaluation, planning and management. The marine environmental protection strategies and marine exploitation activities can be formulated for the sea areas with different environmental endowments by considering the local conditions. This division approach can not only provide technical support for the MSP of Dongshan Bay, but also can be a supplement of spatial units division approach for marine spatial monitoring, evaluation, planning and management. This division approach is suitable for fine-scale sea areas, but it is also applicable to large and medium-scale sea areas where complete and detailed environmental monitoring data can be obtained. The technical scheme of marine spatial units division proposed in this study has a wide application prospect.

Transformation of the protected areas system of Siberia in 2010-2020

By 2020 protected areas in Siberia are represented by all the main categories of various levels of subordination mentioned in the Federal law “On protected areas”, and it also provides for the possibility of creating other categories of protected areas at the discretion of the regions. In particular, in Yakutia there are regional protected areas of the category “resource reserves” and “protected landscapes”, in the Tyumen region – “natural and historical complex” and “environmental monitoring polygon”, which have areas that are important for territorial nature protection. In general, 421 protected areas of the main categories are currently functioning in Siberia, which includes 14 subjects of the Russian Federation, the Siberian federal district and parts of the Far East (the Republics of Sakha(Yakutia) and of Buryatia, the Zabaikalsky kray) and the Ural (Tyumen region with the Yamalo-Nenets and Khanty-Mansi districts). Of these, 58 protected areas of federal significance (27 reserves, 8 national parks, 23 refuges or zakazniks) and 363 protected areas of regional significance (27 natural parks, 272 zakazniks, 63 resource reserves in Yakutia and 1 environmental monitoring site in the Tyumen region). This article examines the dynamics of the protected areas system in Siberia development. The starting point for this research was the creation Atlases of the “Specially Protected Natural Areas of the Siberian Federal district» and “Specially Protected Natural Areas of the Far East Federal district».

A hybrid approach to predict daily NO2 concentrations at city block scale

Estimating the ambient concentration of nitrogen dioxide (NO2) is challenging because NO2 generated by local fossil fuel combustion varies greatly in concentration across space and time. This study demonstrates an integrated hybrid approach combining dispersion modeling and land use regression (LUR) to predict daily NO2 concentrations at a high spatial resolution (e.g., 50 m) in the New York tri-state area. The daily concentration of traffic-related NO2 was estimated at the Environmental Protection Agency's NO2 monitoring sites in the study area for the years 2015–2017, using the Research LINE source (R-LINE) model with inputs of traffic data provided by the Highway Performance and Management System and meteorological data provided by the NOAA Integrated Surface Database. We used the R-LINE-predicted daily concentrations of NO2 to build mixed-effects regression models, including additional variables representing land use features, geographic characteristics, weather, and other predictors. The mixed model was selected by the Elastic Net method. Each model's performance was evaluated using the out-of-sample coefficient of determination (R2) and the square root of mean squared error (RMSE) from ten-fold cross-validation (CV). The mixed model showed a good prediction performance (CV R2: 0.75–0.79, RMSE: 3.9–4.0 ppb). R-LINE outputs improved the overall, spatial, and temporal CV R2 by 10.0%, 18.9% and 7.7% respectively. Given the output of R-LINE is point-based and has a flexible spatial resolution, this hybrid approach allows prediction of daily NO2 at an extremely high spatial resolution such as city blocks.

The harmonization of small-scale marine spatial protection in the Argentine Islands area (Antarctic Peninsula) under the Antarctic Treaty System

The purpose of the article is to summarize the results of field studies carried out in the framework of the State Antarctic Research Program for 2011–2020 and undertaken to identify areas of special interest for small-scale marine spatial protection in the Argentine Islands water area. The scientific results reported in the publications and relevant meetings’ documents officially presented by the Ukrainian delegation in 2012–2019 were summarized and interpreted in view of the Antarctic Treaty System (ATS) provisions on marine spatial protection. GIS analysis was applied to field data. It is shown that the development of protection regime for small-scale underwater landscape is based on systematic biogeographical data collected during seasonal and year-round Ukrainian Antarctic expeditions in 2011–2019. In order to harmonize the application of all available tools of spatial ecosystem-based protection across the ATS, it is proposed to designate the long-term environmental monitoring sites around Ukrainian Antarctic Akademik Vernadsky station as a new Antarctic Specially Protected Area (ASPA) consisting of terrestrial and marine components. It is shown that the marine component of the proposed ASPA could serve as one of the scientific reference areas of the broad-scale Marine Protected Area in Domain 1 within the Antarctic Peninsula region for assessing the impact of climate change on benthic communities, as well as breeding success and distribution of penguin colonies.

Insights into source origins and formation mechanisms of nitrate during winter haze episodes in the Yangtze River Delta

Nitrate became the most significant component of secondary inorganic aerosols (SNA, the sum of sulfate, nitrate and ammonium ions) as the emissions of sulfur dioxide (SO2) have been greatly reduced in China in recent years. In the Yangtze River Delta (YRD), nitrate could contribute 56% of SNA and 34% of total PM2.5 during haze episodes. In this study, a modified Community Multiscale Air Quality (CMAQ) model was used to provide a comprehensive understanding of nitrate source and formation under severe pollution during winter 2015 and 2016. Three haze episodes (HEP1, HEP2 and HEP3) and one clean episode (CEP) were selected to investigate the emission sector and regional contributions to nitrate at six environmental monitoring sites in the YRD. Source apportionment results showed that industry (35%), transportation (32%) and power (28%) sectors were the important sources of nitrate during haze episodes. Regional transport (60–98%) was responsible for the high nitrate concentrations in the YRD. During haze episodes, the high ozone production (PO3) rate (up to 700 ppb/h) and hydroxyl radicals (OH) removal rate (up to 9 ppb/h) were observed in the daytime indicating the important atmospheric oxidation capacity in the YRD. Also, the nitrogen oxidation ratio (NOR) analysis elucidated that daytime photochemistry played an important role in nitrate formation and the heterogeneous chemistry enhanced the high nitrate at night. Results from emission scenario analysis demonstrated that averaged nitrate concentration in Shanghai decreased by 18% during haze episodes under emission reductions of 20% NOx, NH3 and VOC in the YRD, and Shandong, Shanxi, Henan and Hebei provinces. Emission reduction on the regional scale (one city and its surrounding areas) is an efficient strategy to reduce nitrate concentration in the YRD.

Study on the Pollution Characteristics and Sources of Ozone in Typical Loess Plateau City

Ground-level ozone is a secondary pollutant produced by photochemical reactions and it adversely affects plant and human health. Taiyuan City, a typical city on the loess plateau, is suffering from severe ozone pollution. We utilized the data from eight national environmental monitoring sites of Taiyuan, including concentrations of O3 and nitric oxide, and meteorological factors, such as air temperature and wind, to study the pollution characteristics and sources of ozone (O3) in Taiyuan in 2018. Results show that during 2018, the maximum value and 90th percentile of the maximum 8-h running average of O3 concentration were 257 μg/m3 and 192 μg/m3, respectively. There were 72 days where the O3 concentration exceeded the standard in 2018, which were mainly during April to August. The O3 concentration increased from March, reached a high level in April through August, and decreased significantly from September. The O3 concentrations displayed a typical “single peak” diurnal variation, which was high during the day with peak at around 13:00–15:00 and low at night. From April to August, the O3 concentrations at Jinyuan was the highest, followed by Xiaodian and Taoyuan, and the O3 concentrations at Shanglan and Nanzhai were the lowest. When the O3 concentration exceeded the standard value, Jinyuan contributed the most to the O3 pollution of Taiyuan, followed by Taoyuan and Xiaodian. High temperature and pressure, south and southwest winds can lead to an increase in O3 concentration. The O3 pollution in the Taiyuan urban area is caused by local generation, and the transportation of polluted air masses containing oxides of nitrogen (NOx) and volatile organic compounds (VOCs) emitted by industries, such as the coking and steel plants in counties of Jinzhong City in southern Taiyuan, and Qingxu County, and some counties in Lyuliang City to the southwest. In addition, the mountain winds and low nitric oxide concentration are the main reasons for the increase of O3 concentration, often observed in Shanglan at night.

Association between short-term exposure to ambient air pollution and hospital visits for depression in China

Depression is one of the leading causes of disability, but the etiology remains unclear. Recently, it has been suggested that air pollution is a potential risk factor for depression. However, the results remained inconsistent. So we conducted this study to assess the association between short-term exposure to ambient air pollution and hospital visits for depression in China. Daily hospital visits for depression from January 18, 2013 to June 10, 2018 were extracted from a regional health information system (HIS) covered 1.34 million population in Ningbo, China. We collected daily air pollutant concentrations and meteorological data from environmental air quality monitoring sites and meteorological stations in the study area. Quasi-Poisson regression models with generalized additive models (GAM) were applied to explore the associations between air pollution and hospital visits for depression. Stratified analyses were also conducted by gender, age, and season to examine the effects modification. The results disclosed that air pollutants including PM2.5, PM10, SO2, CO, and NO2 were positively correlated with hospital visits for depression. The strongest effects all occurred on lag0 (the same) day, and the corresponding excess risks (ERs) were 2.59 (95%CI: 0.72, 4.49) for PM2.5, 3.08 (95%CI: 1.05, 5.16) for PM10, 3.22 (95%CI: 1.16, 5.32) for SO2, 4.38 (95%CI: 1.83, 6.99) for CO, and 4.94 (95%CI: 2.03, 7.92) for NO2 per IQR increase, respectively. The associations were found to be stronger in the elderly (≥65 years) and cold season. Furthermore, the effects of CO and NO2 remained significant in most two-pollutant models, suggesting that traffic-related air pollutants might be more important triggers of depression.

The Ecobiomics project: Advancing metagenomics assessment of soil health and freshwater quality in Canada

Transformative advances in metagenomics are providing an unprecedented ability to characterize the enormous diversity of microorganisms and invertebrates sustaining soil health and water quality. These advances are enabling a better recognition of the ecological linkages between soil and water, and the biodiversity exchanges between these two reservoirs. They are also providing new perspectives for understanding microorganisms and invertebrates as part of interacting communities (i.e. microbiomes and zoobiomes), and considering plants, animals, and humans as holobionts comprised of their own cells as well as diverse microorganisms and invertebrates often acquired from soil and water. The Government of Canada's Genomics Research and Development Initiative (GRDI) launched the Ecobiomics Project to coordinate metagenomics capacity building across federal departments, and to apply metagenomics to better characterize microbial and invertebrate biodiversity for advancing environmental assessment, monitoring, and remediation activities. The Project has adopted standard methods for soil, water, and invertebrate sampling, collection and provenance of metadata, and nucleic acid extraction. High-throughput sequencing is located at a centralized sequencing facility. A centralized Bioinformatics Platform was established to enable a novel government-wide approach to harmonize metagenomics data collection, storage and bioinformatics analyses. Sixteen research projects were initiated under Soil Microbiome, Aquatic Microbiome, and Invertebrate Zoobiome Themes. Genomic observatories were established at long-term environmental monitoring sites for providing more comprehensive biodiversity reference points to assess environmental change.

The association of short-term effects of air pollution and sleep disorders among elderly residents in China

Sleep disorders, oftentimes co-occurring with other mental and neurological disorders in the elderly, have been previously linked to short-term exposures to air pollution. Here we assessed such associations among 395,651 elderly Chinese in Ningbo, China where air pollution exposures are high and the proportion of elderly in the population is growing. We utilized a regional health information database in China (2008–2017) that collected information on hospital visits for sleep disorders among the elderly (age 60+). Measures of daily air pollution concentrations including nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), inhalable particles (PM10), and ambient fine particulate matter (PM2.5) were generated from seven environmental air quality monitoring sites in the study area. We used a generalized additive model to evaluate the associations between hospital visits for sleep disorders and short-term air pollution exposures for up to 7 days prior to a hospital visit. Short-term exposure to multiple air pollutants was associated with hospital visits for sleep disorders in an elderly population; with the strongest associations during 2–3 days prior to a clinic visits for traffic-related pollutants including air quality index (AQI), PM2.5, PM10, and NO2 and for SO2 and O3 for 5 days prior to the visits. Our study based on large health care record system suggested that short-term air pollution exposures are associated with sleep disorders in the elderly. Considering the individual covariates that could not be adjusted in time-series analyses, future studies with individual level data and an ability to evaluate the severity of sleep disorders and their relation to mental and physical health in general and air pollution are needed. An aging population with increasing health problems and the frequency of high and very high air pollution events in China make our findings very health policy relevant.

Ecobiomics: Environmental metagenomic biomonitoring

Land use disturbances are having enormous adverse impacts on the biodiversity and integrity of natural and managed ecosystems around the world. Adverse impacts on biodiversity are compromising ecosystem services and processes, reducing ecosystem resilience, and leading to unpredictable ecosystem responses to environmental change. The Metagenomics-Based Ecosystem Biomonitoring Project (EcoBiomics) focuses on the urgent need to better understand the extent and significance of ongoing changes to biodiversity in the soil and aquatic ecosystems that sustain essential ecosystem services upon which Canadians and the Canadian economy depend. This project uniquely recognizes that a breadth of scientific expertise from within the Canadian government is required to undertake this research, which is spread across relevant departments and agencies with Biodiversity portfolios. It involves over 50 participants (researchers, technicians, bioinformaticians, software developers, managers and students, etc.) contributing to many smaller projects in several locations across Canada organized by themes. The objectives of this project include: Develop standard soil and water methods and a federal Bioinformatics Platform to harmonize analyses of metabarcoding, metagenomics and metatranscriptomics data across federal departments/agencies; Establish genomic observatories and comprehensive biodiversity baselines for assessing future changes to water and soil biodiversity at long-term environmental monitoring sites in Canada; Develop new knowledge to improve water quality and soil health by comprehensively characterizing aquatic microbiomes, soil microbiomes, and invertebrate zoobiomes, and testing hypotheses to enhance environmental assessment, monitoring, and remediation activities. Develop standard soil and water methods and a federal Bioinformatics Platform to harmonize analyses of metabarcoding, metagenomics and metatranscriptomics data across federal departments/agencies; Establish genomic observatories and comprehensive biodiversity baselines for assessing future changes to water and soil biodiversity at long-term environmental monitoring sites in Canada; Develop new knowledge to improve water quality and soil health by comprehensively characterizing aquatic microbiomes, soil microbiomes, and invertebrate zoobiomes, and testing hypotheses to enhance environmental assessment, monitoring, and remediation activities. Our poster will focus primarily on the challenges associated with the first objective. Genomic technologies are revolutionizing biodiversity assessment in soil and aquatic ecosystems, and they now offer the only practical way to comprehensively characterize this enormous biodiversity. These technologies and associated tools allow us to obtain comprehensive baseline biodiversity data that are essential to support evidence-based decision-making. However, a strong focus of this project is to enable environmental assessment, monitoring, and remediation activities by a multitude of potential end users and thus standardized protocols and processes must be determined and shared. For the data generated, several procedures were defined. A minimum metadata profile related to the sampling event is required for all projects, which follows existing standards including the DarwinCore (https://dwc.tdwg.org). Sample preparation was also standardized based primarily on protocols developed in earlier projects that were validated for use in Ecobiomics, for example the Earth Microbiome Project (http://www.earthmicrobiome.org). The procedures for DNA extraction through sequencing largely followed the Minimum Information about “X” Sequence (MIxS) standard (gensc.org/mixs). This data is all input into an in-house custom-built software package, Sequence Database (SeqDB) used by all participants across the entire project, which is made available centrally via a federal high-performance computing centre. SeqDB not only stores the metadata and data generated but also maintains provenance based on defined workflows for metabarcoding, shotgun metagenomics, and other “omics” pipelines. It also supports project management through various metrics and visualizations. We will document some of the challenges to standardizing data and workflows in large multi-domain and multi-department project like Ecobiomics and the need for further standard development to truly support data sharing and integration across a highly diverse ecosystem of genomic observatories globally.