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Land use regression LUR

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https://www.readbyqxmd.com/read/29329101/spatial-variation-of-endotoxin-concentrations-measured-in-ambient-pm10-in-a-livestock-dense-area-implementation-of-a-land-use-regression-approach
#1
Myrna M T de Rooij, Dick J J Heederik, Erik J H M van Nunen, Isabella J van Schothorst, Catharina B M Maassen, Gerard Hoek, Inge M Wouters
BACKGROUND: Results from studies on residential health effects of livestock farming are inconsistent, potentially due to simple exposure proxies used (e.g., livestock density). Accuracy of these proxies compared with measured exposure concentrations is unknown. OBJECTIVES: We aimed to assess spatial variation of endotoxin in PM10 (particulate matter ≤10μm) at residential level in a livestock-dense area, compare simple livestock exposure proxies to measured endotoxin concentrations, and evaluate whether land-use regression (LUR) can be used to explain spatial variation of endotoxin...
January 11, 2018: Environmental Health Perspectives
https://www.readbyqxmd.com/read/29274532/modeling-and-evaluating-spatial-variation-of-polycyclic-aromatic-hydrocarbons-in-urban-lake-surface-sediments-in-shanghai
#2
Jing Yang, Yi Yang, Rui-Shan Chen, Xiang-Zhou Meng, Jie Xu, Abdul Qadeer, Min Liu
To explore the influence of rapid urbanization development on the accumulation of 16 priority PAHs in urban environment, thirty-three surface sediments from city lakes in different urbanized areas of Shanghai were collected to evaluate the occurrence characteristic and source apportionment of PAHs. The concentrations of Σ16PAHs in lake surface sediments ranged from 55.7 to 4928 ng g-1 with a mean value of 1131 ng g-1 (standard deviation, 1228 ng g-1), of which 4-, 5- and 6-ring PAHs were the dominant components...
December 20, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/29244754/evaluation-of-traffic-density-parameters-as-an-indicator-of-vehicle-emission-related-near-road-air-pollution-a-case-study-with-nexus-measurement-data-on-black-carbon
#3
Shi V Liu, Fu-Lin Chen, Jianping Xue
An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/intensity into models such as land use regression (LUR) models has improved exposure estimation. To better understand the relationship between vehicle emissions and near-road air pollution, we evaluated three traffic density-based indices: Major-Road Density (MRD), All-Traffic Density (ATD) and Heavy-Traffic Density (HTD) which represent the proportions of major roads, major road with annual average daily traffic (AADT), and major road with commercial annual average daily traffic (CAADT) in a buffered area, respectively...
December 15, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29227637/urban-organic-aerosol-exposure-spatial-variations-in-composition-and-source-impacts
#4
Hugh Z Li, Timothy R Dallmann, Xiang Li, Peishi Gu, Albert A Presto
We conducted a mobile sampling campaign in a historically industrialized terrain (Pittsburgh, PA) targeting spatial heterogeneity of organic aerosol. Thirty-six sampling sites were chosen based on stratification of traffic, industrial source density, and elevation. We collected organic carbon (OC) on quartz filters, quantified different OC components with thermal-optical analysis, and grouped them based on volatility in decreasing order (OC1, OC2, OC3, OC4, and pyrolyzed carbon (PC)). We compared our ambient OC concentrations (both gas and particle phase) to similar measurements from vehicle dynamometer tests, cooking emissions, biomass burning emissions, and a highway traffic tunnel...
December 11, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/29177958/human-exposure-assessment-for-air-pollution
#5
Bin Han, Li-Wen Hu, Zhipeng Bai
Assessment of human exposure to air pollution is a fundamental part of the more general process of health risk assessment. The measurement methods for exposure assessment now include personal exposure monitoring, indoor-outdoor sampling, mobile monitoring, and exposure assessment modeling (such as proximity models, interpolation model, air dispersion models, and land-use regression (LUR) models). Among these methods, personal exposure measurement is considered to be the most accurate method of pollutant exposure assessment until now, since it can better quantify observed differences and better reflect exposure among smaller groups of people at ground level...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/29156268/use-of-a-handheld-low-cost-sensor-to-explore-the-effect-of-urban-design-features-on-local-scale-spatial-and-temporal-air-quality-variability
#6
Georgia Miskell, Jennifer A Salmond, David E Williams
Portable low-cost instruments have been validated and used to measure ambient nitrogen dioxide (NO2) at multiple sites over a small urban area with 20min time resolution. We use these results combined with land use regression (LUR) and rank correlation methods to explore the effects of traffic, urban design features, and local meteorology and atmosphere chemistry on small-scale spatio-temporal variations. We measured NO2 at 45 sites around the downtown area of Vancouver, BC, in spring 2016, and constructed four different models: i) a model based on averaging concentrations observed at each site over the whole measurement period, and separate temporal models for ii) morning, iii) midday, and iv) afternoon...
November 17, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29145048/development-of-a-microscale-land-use-regression-model-for-predicting-no2-concentrations-at-a-heavy-trafficked-suburban-area-in-auckland-nz
#7
L F Weissert, J A Salmond, G Miskell, M Alavi-Shoshtari, D E Williams
Land use regression (LUR) analysis has become a key method to explain air pollutant concentrations at unmeasured sites at city or country scales, but little is known about the applicability of LUR at microscales. We present a microscale LUR model developed for a heavy trafficked section of road in Auckland, New Zealand. We also test the within-city transferability of LUR models developed at different spatial scales (local scale and city scale). Nitrogen dioxide (NO2) was measured during summer at 40 sites and a LUR model was developed based on standard criteria...
November 13, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29096959/modelling-the-fine-scale-spatiotemporal-pattern-of-urban-heat-island-effect-using-land-use-regression-approach-in-a-megacity
#8
Yuan Shi, Lutz Katzschner, Edward Ng
Urban heat island (UHI) effect significantly raises the health burden and building energy consumption in the high-density urban environment of Hong Kong. A better understanding of the spatiotemporal pattern of UHI is essential to health risk assessments and energy consumption management but challenging in a high-density environment due to the sparsely distributed meteorological stations and the highly diverse urban features. In this study, we modelled the spatiotemporal pattern of UHI effect using the land use regression (LUR) approach in geographic information system with meteorological records of the recent 4years (2013-2016), sounding data and geographic predictors in Hong Kong...
October 30, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29053590/land-use-regression-modeling-of-outdoor-noise-exposure-in-informal-settlements-in-western-cape-south-africa
#9
Chloé Sieber, Martina S Ragettli, Mark Brink, Olaniyan Toyib, Roslyn Baatjies, Apolline Saucy, Nicole Probst-Hensch, Mohamed Aqiel Dalvie, Martin Röösli
In low- and middle-income countries, noise exposure and its negative health effects have been little explored. The present study aimed to assess the noise exposure situation in adults living in informal settings in the Western Cape Province, South Africa. We conducted continuous one-week outdoor noise measurements at 134 homes in four different areas. These data were used to develop a land use regression (LUR) model to predict A-weighted day-evening-night equivalent sound levels (Lden) from geographic information system (GIS) variables...
October 20, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29031214/land-use-regression-models-for-the-oxidative-potential-of-fine-particles-pm2-5-in-five-european-areas
#10
John Gulliver, David Morley, Chrissi Dunster, Adrienne McCrea, Erik van Nunen, Ming-Yi Tsai, Nicoltae Probst-Hensch, Marloes Eeftens, Medea Imboden, Regina Ducret-Stich, Alessio Naccarati, Claudia Galassi, Andrea Ranzi, Mark Nieuwenhuijsen, Ariadna Curto, David Donaire-Gonzalez, Marta Cirach, Roel Vermeulen, Paolo Vineis, Gerard Hoek, Frank J Kelly
Oxidative potential (OP) of particulate matter (PM) is proposed as a biologically-relevant exposure metric for studies of air pollution and health. We aimed to evaluate the spatial variability of the OP of measured PM2.5 using ascorbate (AA) and (reduced) glutathione (GSH), and develop land use regression (LUR) models to explain this spatial variability. We estimated annual average values (m(-3)) of OP(AA) and OP(GSH) for five areas (Basel, CH; Catalonia, ES; London-Oxford, UK (no OP(GSH)); the Netherlands; and Turin, IT) using PM2...
October 12, 2017: Environmental Research
https://www.readbyqxmd.com/read/28959135/exposure-assessment-models-for-elemental-components-of-particulate-matter-in-an-urban-environment-a-comparison-of-regression-and-random-forest-approaches
#11
Cole Brokamp, Roman Jandarov, M B Rao, Grace LeMasters, Patrick Ryan
Exposure assessment for elemental components of particulate matter (PM) using land use modeling is a complex problem due to the high spatial and temporal variations in pollutant concentrations at the local scale. Land use regression (LUR) models may fail to capture complex interactions and non-linear relationships between pollutant concentrations and land use variables. The increasing availability of big spatial data and machine learning methods present an opportunity for improvement in PM exposure assessment models...
February 2017: Atmospheric Environment
https://www.readbyqxmd.com/read/28915873/a-prospective-cohort-study-on-ambient-air-pollution-and-respiratory-morbidities-including-childhood-asthma-in-adolescents-from-the-western-cape-province-study-protocol
#12
Toyib Olaniyan, Mohamed Jeebhay, Martin Röösli, Rajen Naidoo, Roslynn Baatjies, Nino Künzil, Ming Tsai, Mark Davey, Kees de Hoogh, Dilys Berman, Bhawoodien Parker, Joy Leaner, Mohamed Aqiel Dalvie
BACKGROUND: There is evidence from existing literature that ambient air pollutant exposure in early childhood likely plays an important role in asthma exacerbation and other respiratory symptoms, with greater effect among asthmatic children. However, there is inconclusive evidence on the role of ambient air pollutant exposures in relation to increasing asthma prevalence as well as asthma induction in children. At the population level, little is known about the potential synergistic effects between pollen allergens and air pollutants since this type of association poses challenges in uncontrolled real life settings...
September 16, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28886417/is-long-term-particulate-matter-and-nitrogen-dioxide-air-pollution-associated-with-incident-monoclonal-gammopathy-of-undetermined-significance-mgus-an-analysis-of-the-heinz-nixdorf-recall-study
#13
Ester Orban, Marina Arendt, Frauke Hennig, Sarah Lucht, Lewin Eisele, Hermann Jakobs, Jan Dürig, Barbara Hoffmann, Karl-Heinz Jöckel, Susanne Moebus
BACKGROUND: Exposure to air pollution activates the innate immune system and influences the adaptive immune system in experimental settings. We investigated the association of residential long-term exposure to particulate matter (PM) and NO2 air pollution with monoclonal gammopathy of undetermined significance (MGUS) as a marker of adaptive immune system activation. METHODS: We used data from the baseline (2000-2003), 5-year (2006-2008) and 10-year (2011-2015) follow-up examinations of the German Heinz Nixdorf Recall cohort study of 4814 participants (45-75years)...
September 5, 2017: Environment International
https://www.readbyqxmd.com/read/28873665/land-use-regression-modelling-estimating-nitrogen-oxides-exposure-in-industrial-south-durban-south-africa
#14
Sheena Muttoo, Lisa Ramsay, Bert Brunekreef, Rob Beelen, Kees Meliefste, Rajen N Naidoo
BACKGROUND: The South Durban (SD) area of Durban, South Africa, has a history of air pollution issues due to the juxtaposition of low-income communities with industrial areas. This study used measurements of oxides of nitrogen (NOx) to develop a land use regression (LUR) model to explain the spatial variation of air pollution concentrations in this area. METHODS: Ambient NOx was measured over two two-week sampling periods at 32 sites using Ogawa badges. Following the ESCAPE approach, an annual adjusted average was calculated for these results and regressed against pre-selected geographic predictor variables in a multivariate regression model...
January 1, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/28866382/robustness-of-intra-urban-land-use-regression-models-for-ultrafine-particles-and-black-carbon-based-on-mobile-monitoring
#15
Jules Kerckhoffs, Gerard Hoek, Jelle Vlaanderen, Erik van Nunen, Kyle Messier, Bert Brunekreef, John Gulliver, Roel Vermeulen
Land-use regression (LUR) models for ultrafine particles (UFP) and Black Carbon (BC) in urban areas have been developed using short-term stationary monitoring or mobile platforms in order to capture the high variability of these pollutants. However, little is known about the comparability of predictions of mobile and short-term stationary models and especially the validity of these models for assessing residential exposures and the robustness of model predictions developed in different campaigns. We used an electric car to collect mobile measurements (n = 5236 unique road segments) and short-term stationary measurements (3 × 30min, n = 240) of UFP and BC in three Dutch cities (Amsterdam, Utrecht, Maastricht) in 2014-2015...
November 2017: Environmental Research
https://www.readbyqxmd.com/read/28715783/development-of-land-use-regression-models-for-pm2-5-so2-no2-and-o3-in-nanjing-china
#16
Lei Huang, Can Zhang, Jun Bi
Ambient air pollution has been a global problem, especially in China. Comparing with other methods, Land Use Regression (LUR) models can obtain air pollutant concentration distribution at finer scale without the air pollution source data based on a few monitoring sites and predictors. However, limited LUR studies have been conducted on the basis of regular monitoring networks. Thus, we explored the applicability of conducting LUR models for four key air pollutants: PM2.5, SO2, NO2 and O3, on the basis of national monitoring networks which have good representation of areas with different characteristics in Nanjing, China...
October 2017: Environmental Research
https://www.readbyqxmd.com/read/28705430/effect-of-long-term-exposure-to-air-pollution-on-anxiety-and-depression-in-adults-a-cross-sectional-study
#17
Cristina Vert, Gonzalo Sánchez-Benavides, David Martínez, Xavier Gotsens, Nina Gramunt, Marta Cirach, José Luis Molinuevo, Jordi Sunyer, Mark J Nieuwenhuijsen, Marta Crous-Bou, Mireia Gascon
BACKGROUND: The association between exposure to air pollutants and mental disorders among adults has been suggested, although results are not consistent. OBJECTIVE: To analyze the association between long-term exposure to air pollution and history of anxiety and depression disorders and of medication use (benzodiazepines and antidepressants) in adults living in Barcelona. METHODS: A total of 958 adults (45-74 years old) residents in Barcelona, most of them having at least one of their parents diagnosed with dementia (86%), and participating in the ALFA (Alzheimer and Families) study, were included...
August 2017: International Journal of Hygiene and Environmental Health
https://www.readbyqxmd.com/read/28689118/prenatal-and-postnatal-exposure-to-no2-and-child-attentional-function-at-4-5years-of-age
#18
Alexis Sentís, Jordi Sunyer, Albert Dalmau-Bueno, Ainara Andiarena, Ferran Ballester, Marta Cirach, Marisa Estarlich, Ana Fernández-Somoano, Jesús Ibarluzea, Carmen Íñiguez, Aitana Lertxundi, Adonina Tardón, Mark Nieuwenhuijsen, Martine Vrijheid, Mònica Guxens
BACKGROUND: Prenatal and postnatal exposure to air pollution has been linked to cognitive impairment in children, but very few studies have assessed its association with attentional function. OBJECTIVES: To evaluate the association between prenatal and postnatal exposure to nitrogen dioxide (NO2) and attentional function in children at 4-5years of age. METHODS: We used data from four regions of the Spanish INMA-Environment and Childhood-Project, a population-based birth cohort...
July 6, 2017: Environment International
https://www.readbyqxmd.com/read/28666134/capturing-the-sensitivity-of-land-use-regression-models-to-short-term-mobile-monitoring-campaigns-using-air-pollution-micro-sensors
#19
L Minet, R Gehr, M Hatzopoulou
The development of reliable measures of exposure to traffic-related air pollution is crucial for the evaluation of the health effects of transportation. Land-use regression (LUR) techniques have been widely used for the development of exposure surfaces, however these surfaces are often highly sensitive to the data collected. With the rise of inexpensive air pollution sensors paired with GPS devices, we witness the emergence of mobile data collection protocols. For the same urban area, can we achieve a 'universal' model irrespective of the number of locations and sampling visits? Can we trade the temporal representation of fixed-point sampling for a larger spatial extent afforded by mobile monitoring? This study highlights the challenges of short-term mobile sampling campaigns in terms of the resulting exposure surfaces...
November 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28657730/land-use-regression-models-for-alkylbenzenes-in-a-middle-eastern-megacity-tehran-study-of-exposure-prediction-for-environmental-health-research-tehran-sepehr
#20
Heresh Amini, Christian Schindler, Vahid Hosseini, Masud Yunesian, Nino Künzli
Land use regression (LUR) has not been applied thus far to ambient alkylbenzenes in highly polluted megacities. We advanced LUR models for benzene, toluene, ethylbenzene, p-xylene, m-xylene, o-xylene (BTEX), and total BTEX using measurement based estimates of annual means at 179 sites in Tehran megacity, Iran. Overall, 520 predictors were evaluated, such as The Weather Research and Forecasting Model meteorology predictions, emission inventory, and several new others. The final models with R(2) values ranging from 0...
July 17, 2017: Environmental Science & Technology
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