Read by QxMD icon Read

Land use regression LUR

O Naughton, A Donnelly, P Nolan, F Pilla, B D Misstear, B Broderick
Estimating pollutant concentrations at a local and regional scale is essential in environmental and health policy decision making. Here we present a novel land use regression (LUR) modelling methodology that exploits the high temporal resolution of fixed-site monitoring (FSM) to produce a national-scale air quality model for the key pollutant NO2 . The methodology partitions concentration time series from a national FSM network into wind-dependent sectors or "wedges". A LUR model is derived using predictor variables calculated within the directional wind sectors, and compared against the long-term average concentrations within each sector...
March 2, 2018: Science of the Total Environment
Y J Zhang, D H Zhou, Z P Bai, F X Xue
Objective: To quantitatively analyze the current status and development trends regarding the land use regression (LUR) models on ambient air pollution studies. Methods: Relevant literature from the PubMed database before June 30, 2017 was analyzed, using the Bibliographic Items Co-occurrence Matrix Builder (BICOMB 2.0). Keywords co-occurrence networks, cluster mapping and timeline mapping were generated, using the CiteSpace 5.1.R5 software. Relevant literature identified in three Chinese databases was also reviewed...
February 10, 2018: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
Laura Minet, Rick Liu, Marie-France Valois, Junshi Xu, Scott Weichenthal, Marianne Hatzopoulou
Land-use regression (LUR) models of air pollutants are frequently developed based on short-term stationary or mobile monitoring approaches, which raises the question of whether these two data collection protocols lead to similar exposure surfaces. In this study, we measured Ultrafine Particles (UFP) and Black Carbon (BC) concentrations in Toronto during summer 2016, using two short-term data collection approaches: mobile, involving 3,023 road segments sampled on bicycles, and stationary, involving 92 sidewalk locations...
February 23, 2018: Environmental Science & Technology
Luke D Knibbs, Craig P Coorey, Matthew J Bechle, Julian D Marshall, Michael G Hewson, Bin Jalaludin, Geoff G Morgan, Adrian G Barnett
Assessing historical exposure to air pollution in epidemiological studies is often problematic because of limited spatial and temporal measurement coverage. Several methods for modelling historical exposures have been described, including land-use regression (LUR). Satellite-based LUR is a recent technique that seeks to improve predictive ability and spatial coverage of traditional LUR models by using satellite observations of pollutants as inputs to LUR. Few studies have explored its validity for assessing historical exposures, reflecting the absence of historical observations from popular satellite platforms like Aura (launched mid-2004)...
February 5, 2018: Environmental Research
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
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
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
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...
January 16, 2018: Environmental Science & Technology
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
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
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
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
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
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 OPAA and OPGSH for five areas (Basel, CH; Catalonia, ES; London-Oxford, UK (no OPGSH ); the Netherlands; and Turin, IT) using PM2...
January 2018: Environmental Research
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
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
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
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
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
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
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"