565 research outputs found

    Simulating urban soil carbon decomposition using local weather input from a surface model

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    An assessment of indoor and outdoor air quality in a university environment : a case of University of Limpopo, South Africa

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    Air pollution of late has been the focus of many studies due to the detrimental health risks that it poses to individuals. University environments have several academic departments with peculiar activities that could be affecting the indoor and outdoor air quality (AQ) of these environments. University settings differ from other environments because of the variety of activities and different lines of work that go on inside buildings housing academic departments and their surroundings, which are likely to have an impact on indoor air quality (IAQ) and outdoor air quality (OAQ) in this environment. Only a few AQ studies have been done in university sites and surrounds worldwide and in these studies, IAQ was given primary importance; whereas, the outdoor environment was and is often neglected. A study comparing both IAQ and OAQ is critical to further understand the relationship between IAQ and OAQ within a university campus. The University of Limpopo (UL) in the Mankweng township of South Africa has been undergoing some refurbishments with numerous construction activities going on in addition to the academic activities of UL. These activities may be affecting the AQ in this unique environment. The main aim of this study was to determine differences between indoor and outdoor AQ in a university environment and to understand how AQ in this unique environment varies with seasons and building function. The study was carried out in three buildings housing three different academic departments in UL namely: Department of Physiology and Environmental Health (PEH), Department of Biochemistry, Microbiology, and Biotechnology (BMBT) and the Department of Biodiversity (BIOD). Twenty indoor and 20 outdoor measuring sites were identified per departmental building from where real-time measurements of 11 AQ parameters (linear air velocity (LAV), dry-bulb temperature (Tdb), relative humidity (RH), carbon monoxide (CO), carbon dioxide (CO2), ozone (O3), sulphur dioxide (SO2), nitrogen dioxide (NO2), hydrogen sulphide (H2S), non-methane hydrocarbons (NMHCs) and volatile organic compounds (VOCs)) were taken over three consecutive days per season. Thus, a total of 60 indoor and 60 outdoor measurements were taken for each parameter in each of the three buildings of interest per season, leading to 360 measurements per season and 1440 measurement per parameter over the one-year period of study across the study area. A hot-wire anemometer was used to measure LAV, whereas the Q-Trak indoor AQ monitor was used in the measurement of Tdb, RH, CO and CO2. Aeroqual AQ monitors were employed in the measurement of O3, SO2, NO2, H2S, NMHCs and VOCs. The Wilcoxon signed ranks test was used to determine differences between indoor and outdoor environments. Significant differences were found between the indoor and outdoor environments for LAV (all three buildings), Tdb (PEH and BMBT), RH (BIOD), O3 (all three buildings), NO2 (all three buildings), CO (all three buildings), CO2 (all three buildings), NMHCs (BMBT and BIOD), and VOCs (all three buildings) (p < 0.05). Linear air velocity, O3, SO2, CO, CO2, and H2S values/concentrations across the indoor/outdoor environments were within the ASHRAE/DEA/WHO guidelines/standards, whereas Tdb, RH and NO2 values/concentrations were not. Air quality in the study area varied with building, with the best AQ across both the indoor and outdoor environments being within the BIOD building, whilst the worst AQ across both environments was encountered in the PEH building. Seasonal differences between buildings were also identified between indoor and outdoor environments among the PEH, BMBT and BIOD buildings (p < 0.008). Across the indoor environment, the winter season was found to be the season with the best AQ, since all the pollutants were found at minimum concentrations. Factors affecting AQ in the study area included thermal comfort, occupant densities, building function, laboratory emissions, renovation activities, generators, vehicular emissions, among others. The best AQ across the outdoor environment occurred during the autumn season, since all the air pollutants were present at minimal concentrations during this time. The best predictors of LAV, Tdb, CO, CO2, NO2, and NMHCs were seasons (R2 = 1.000, p < 0.01). For the parameters RH, H2S, and VOCs, the best predictor was building type (R2 = 1.000, p < 0.01). The indoor and outdoor environment were the best predictors for SO2 (R2 = 0.999, p < 0.01). Ozone had no single predictor that was found to significantly influence its concentration in this study. In relation to an air pollution index (API), generally all pollutant indices fell within the fair, good to very good range when using mean and maxima concentrations, whereas, corresponding NO2 concentrations throughout the study fell within the poor to very poor range (105.660–250.000). University management should take into consideration ventilation in laboratories, occupant densities and location of standby generators and car parks in the management of AQ on the university campus. All heating, ventilation and air conditioning (HVAC) systems need to be upgraded and work in tandem with natural ventilation when having high occupant densities within buildings. Future studies in this sector could incorporate larger sample sizes, be designed as a longitudinal study, and make use of questionnaires and sample more AQ parameters to get a detailed understanding of a university site and its surrounds.Environmental SciencesPh. D. (Environmental Science

    The Ecological Factors that Structure the Composition and Function of Saprotrophic Fungi: Observational and Experimental Approaches.

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    A central goal in ecology is to understand the processes underlying the distribution and abundance of species at local, regional and global scales. As mediators of biogeochemical cycles, understanding the mechanisms that govern microbial community assembly are of ecosystem-scale significance, yet they remain a critical gap in our ecological knowledge. Through a combination of observational and experimental approaches, I explored the roles of selection, drift and dispersal in structuring microbial communities of saprotrophic fungi at a variety of spatial and temporal scales. Furthermore, I investigated the link between fungal community composition and functional characteristics in order to understand whether the factors that structure microbial community assembly have direct consequences to ecological function. First, I explored the role of selection in structuring soil microbial community assembly along a secondary successional chronosequence. My work revealed that the accumulation of organic matter and change in plant litter biochemistry during plant succession (10 to 86 yrs following agricultural abandonment) shaped saprotrophic fungal composition and their physiological potential to metabolize plant detritus, providing support for the idea that changes in plant communities have direct outcomes on the competitive dynamics of saprotrophic microbial communities in soil. Secondly, I found that both dispersal limitation and drift had a persistent effect on the phylogenetic structure and functional richness of saprotrophic fungal communities across a long-term glacial chronosequence (9,500 to 13,500 yrs following glacial retreat). Last, I manipulated initial colonizers and leaf litter biochemistry to understand the relative importance of priority effects and selection in structuring saprotrophic fungal communities and leaf litter decay. I found that the strength of priority effects was dependent on leaf litter biochemistry and physiological traits within a regional species pool. Together, these findings demonstrate that selection, drift and dispersal structure fungal community assembly at both local and regional levels with important consequences to plant litter decay. Furthermore, my observations provide support for the assertion that the same ecological forces structuring plant and animal communities also shape the assembly of saprotrophic fungi.PhDNatural Resources and EnvironmentUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/113471/1/clinela_1.pd

    Full Proceedings, 2018

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    Full conference proceedings for the 2018 International Building Physics Association Conference hosted at Syracuse University

    Characterising Indoor Air Quality in UK Homes: A Population-Based Approach

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    Indoor air quality is of concern in the public health community given the amount of time people are indoors (~90%) and air pollution more generally is linked to a myriad of health issues. The presence of a variety of VOCs, and the subsequent formation of potentially harmful secondary organic aerosols, are of significant concern. This thesis seeks to elucidate some aspects of this complex area of research. First, observing VOC oxidation in chamber experiments has revealed that a number of SOA intermediates form under a variety of oxidant regimes introduced to the chamber, and that these oxidant regimes greatly impact the rate of decay of the parent compound. Further, differing NOx regimes can have a notable impact, such as on VOC decay, and particle and SOA intermediate formation. Secondly, a number of VOCs are found indoors, however, VOC concentrations cannot be linked to the frequency of use of products in the majority of instances, though covariance analysis reveals some weak but statistically significant relationships. Total VOC concentrations provided some insight into potential exposure indoors. Finally, the reactive potential and the pseudo-first order reactivity of VOCs indoors and major indoor oxidants were assessed. The reaction of n-butane and OH was the reaction with the greatest propensity to form secondary products, and whilst OH was significant in many reactions, the abundance of O3 means it too is a significant oxidant indoors. An indoor chemistry model was used to estimate a variety of key components of indoor air, such as particulate matter and OH concentrations, as well as a novel secondary product creation metric. These components were also measured during a COVID-19 lockdown period in 2020, a proxy for future, low NOx scenarios. Together, the elements of this thesis provide a comprehensive analysis to some of the issues surrounding indoor air quality

    Ammonia

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    prepared by Syracuse Research Corporation.Chemical manager(s)/author(s): Nickolette Roney, ATSDR, Division of Toxicology, Atlanta, GA; Fernando Llados, Susan S. Little, David B. Knaebel,.Syracuse Research Corporation, North Syracuse, NY."Prepared by Syracuse Research Corporation under contract no. 205-1999-00024; prepared for U.S. Dept. of Health and Human Services, Public Health Service, Agency for Toxic Substances and Disease Registry."205-1999-00024Includes bibliographical references and glossary (p. 171-223)

    Wildland Fire Smoke in the United States

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    This open access book synthesizes current information on wildland fire smoke in the United States, providing a scientific foundation for addressing the production of smoke from wildland fires. This will be increasingly critical as smoke exposure and degraded air quality are expected to increase in extent and severity in a warmer climate. Accurate smoke information is a foundation for helping individuals and communities to effectively mitigate potential smoke impacts from wildfires and prescribed fires. The book documents our current understanding of smoke science for (1) primary physical, chemical, and biological issues related to wildfire and prescribed fire, (2) key social issues, including human health and economic impacts, and (3) current and anticipated management and regulatory issues. Each chapter provides a summary of priorities for future research that provide a roadmap for developing scientific information that can improve smoke and fire management over the next decade

    Doppler Lidar Vector Retrievals and Atmospheric Data Visualization in Mixed/Augmented Reality

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    abstract: Environmental remote sensing has seen rapid growth in the recent years and Doppler wind lidars have gained popularity primarily due to their non-intrusive, high spatial and temporal measurement capabilities. While lidar applications early on, relied on the radial velocity measurements alone, most of the practical applications in wind farm control and short term wind prediction require knowledge of the vector wind field. Over the past couple of years, multiple works on lidars have explored three primary methods of retrieving wind vectors viz., using homogeneous windfield assumption, computationally extensive variational methods and the use of multiple Doppler lidars. Building on prior research, the current three-part study, first demonstrates the capabilities of single and dual Doppler lidar retrievals in capturing downslope windstorm-type flows occurring at Arizona’s Barringer Meteor Crater as a part of the METCRAX II field experiment. Next, to address the need for a reliable and computationally efficient vector retrieval for adaptive wind farm control applications, a novel 2D vector retrieval based on a variational formulation was developed and applied on lidar scans from an offshore wind farm and validated with data from a cup and vane anemometer installed on a nearby research platform. Finally, a novel data visualization technique using Mixed Reality (MR)/ Augmented Reality (AR) technology is presented to visualize data from atmospheric sensors. MR is an environment in which the user's visual perception of the real world is enhanced with live, interactive, computer generated sensory input (in this case, data from atmospheric sensors like Doppler lidars). A methodology using modern game development platforms is presented and demonstrated with lidar retrieved wind fields. In the current study, the possibility of using this technology to visualize data from atmospheric sensors in mixed reality is explored and demonstrated with lidar retrieved wind fields as well as a few earth science datasets for education and outreach activities.Dissertation/ThesisDoctoral Dissertation Mechanical Engineering 201
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