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Land use regression LUR

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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
#1
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
#2
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
#3
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...
August 30, 2017: 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
#4
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...
August 31, 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
#5
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
#6
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
#7
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
#8
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
#9
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
https://www.readbyqxmd.com/read/28501653/incorporating-wind-availability-into-land-use-regression-modelling-of-air-quality-in-mountainous-high-density-urban-environment
#10
Yuan Shi, Kevin Ka-Lun Lau, Edward Ng
Urban air quality serves as an important function of the quality of urban life. Land use regression (LUR) modelling of air quality is essential for conducting health impacts assessment but more challenging in mountainous high-density urban scenario due to the complexities of the urban environment. In this study, a total of 21 LUR models are developed for seven kinds of air pollutants (gaseous air pollutants CO, NO2, NOx, O3, SO2 and particulate air pollutants PM2.5, PM10) with reference to three different time periods (summertime, wintertime and annual average of 5-year long-term hourly monitoring data from local air quality monitoring network) in Hong Kong...
August 2017: Environmental Research
https://www.readbyqxmd.com/read/28445430/impact-of-land-use-on-pm2-5-pollution-in-a-representative-city-of-middle-china
#11
Haiou Yang, Wenbo Chen, Zhaofeng Liang
Fine particulate matter (PM2.5) pollution has become one of the greatest urban issues in China. Studies have shown that PM2.5 pollution is strongly related to the land use pattern at the micro-scale and optimizing the land use pattern has been suggested as an approach to mitigate PM2.5 pollution. However, there are only a few researches analyzing the effect of land use on PM2.5 pollution. This paper employed land use regression (LUR) models and statistical analysis to explore the effect of land use on PM2.5 pollution in urban areas...
April 26, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28419921/development-of-pm2-5-and-no2-models-in-a-lur-framework-incorporating-satellite-remote-sensing-and-air-quality-model-data-in-pearl-river-delta-region-china
#12
Xiaofan Yang, Yixuan Zheng, Guannan Geng, Huan Liu, Hanyang Man, Zhaofeng Lv, Kebin He, Kees de Hoogh
High resolution pollution maps are critical to understand the exposure and health effect of local residents to air pollution. Currently, none of the single technologies used to measure or estimate concentrations of pollutants can provide sufficient resolved exposure data. Land use regression (LUR) models were developed to combine ground-based measurements, satellite remote sensing (SRS) and air quality model (AQM), together with geographic and local source related spatial inputs, to generate high resolution pollution maps for both PM2...
July 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28319717/land-use-regression-modelling-of-air-pollution-in-high-density-high-rise-cities-a-case-study-in-hong-kong
#13
Martha Lee, Michael Brauer, Paulina Wong, Robert Tang, Tsz Him Tsui, Crystal Choi, Wei Cheng, Poh-Chin Lai, Linwei Tian, Thuan-Quoc Thach, Ryan Allen, Benjamin Barratt
Land use regression (LUR) is a common method of predicting spatial variability of air pollution to estimate exposure. Nitrogen dioxide (NO2), nitric oxide (NO), fine particulate matter (PM2.5), and black carbon (BC) concentrations were measured during two sampling campaigns (April-May and November-January) in Hong Kong (a prototypical high-density high-rise city). Along with 365 potential geospatial predictor variables, these concentrations were used to build two-dimensional land use regression (LUR) models for the territory...
March 16, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28260344/-applying-temporally-adjusted-land-use-regression-models-to-estimate-ambient-air-pollution-exposure-during-pregnancy
#14
Y J Zhang, F X Xue, Z P Bai
The impact of maternal air pollution exposure on offspring health has received much attention. Precise and feasible exposure estimation is particularly important for clarifying exposure-response relationships and reducing heterogeneity among studies. Temporally-adjusted land use regression (LUR) models are exposure assessment methods developed in recent years that have the advantage of having high spatial-temporal resolution. Studies on the health effects of outdoor air pollution exposure during pregnancy have been increasingly carried out using this model...
March 6, 2017: Zhonghua Yu Fang Yi Xue za Zhi [Chinese Journal of Preventive Medicine]
https://www.readbyqxmd.com/read/28244744/land-use-regression-models-for-ultrafine-particles-in-six-european-areas
#15
Erik van Nunen, Roel Vermeulen, Ming-Yi Tsai, Nicole Probst-Hensch, Alex Ineichen, Mark Davey, Medea Imboden, Regina Ducret-Stich, Alessio Naccarati, Daniela Raffaele, Andrea Ranzi, Cristiana Ivaldi, Claudia Galassi, Mark Nieuwenhuijsen, Ariadna Curto, David Donaire-Gonzalez, Marta Cirach, Leda Chatzi, Mariza Kampouri, Jelle Vlaanderen, Kees Meliefste, Daan Buijtenhuijs, Bert Brunekreef, David Morley, Paolo Vineis, John Gulliver, Gerard Hoek
Long-term ultrafine particle (UFP) exposure estimates at a fine spatial scale are needed for epidemiological studies. Land use regression (LUR) models were developed and evaluated for six European areas based on repeated 30 min monitoring following standardized protocols. In each area; Basel (Switzerland), Heraklion (Greece), Amsterdam, Maastricht, and Utrecht ("The Netherlands"), Norwich (United Kingdom), Sabadell (Spain), and Turin (Italy), 160-240 sites were monitored to develop LUR models by supervised stepwise selection of GIS predictors...
March 21, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28241115/robustness-of-land-use-regression-models-developed-from-mobile-air-pollutant-measurements
#16
Marianne Hatzopoulou, Marie France Valois, Ilan Levy, Cristian Mihele, Gang Lu, Scott Bagg, Laura Minet, Jeffrey Brook
Land-use regression (LUR) models are useful for resolving fine scale spatial variations in average air pollutant concentrations across urban areas. With the rise of mobile air pollution campaigns, characterized by short-term monitoring and large spatial extents, it is important to investigate the effects of sampling protocols on the resulting LUR. In this study a mobile lab was used to repeatedly visit a large number of locations (∼1800), defined by road segments, to derive average concentrations across the city of Montreal, Canada...
April 4, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28214192/land-use-regression-with-long-term-satellite-based-greenness-index-and-culture-specific-sources-to-model-pm2-5-spatial-temporal-variability
#17
Chih-Da Wu, Yu-Cheng Chen, Wen-Chi Pan, Yu-Ting Zeng, Mu-Jean Chen, Yue Leon Guo, Shih-Chun Candice Lung
This study utilized a long-term satellite-based vegetation index, and considered culture-specific emission sources (temples and Chinese restaurants) with Land-use Regression (LUR) modelling to estimate the spatial-temporal variability of PM2.5 using data from Taipei metropolis, which exhibits typical Asian city characteristics. Annual average PM2.5 concentrations from 2006 to 2012 of 17 air quality monitoring stations established by Environmental Protection Administration of Taiwan were used for model development...
May 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28189072/modeling-the-intraurban-variation-in-nitrogen-dioxide-in-urban-areas-in-kathmandu-valley-nepal
#18
Anobha Gurung, Jonathan I Levy, Michelle L Bell
BACKGROUND: With growing urbanization, traffic has become one of the main sources of air pollution in Nepal. Understanding the impact of air pollution on health requires estimation of exposure. Land use regression (LUR) modeling is widely used to investigate intraurban variation in air pollution for Western cities, but LUR models are relatively scarce in developing countries. In this study, we developed LUR models to characterize intraurban variation of nitrogen dioxide (NO2) in urban areas of Kathmandu Valley, Nepal, one of the fastest urbanizing areas in South Asia...
May 2017: Environmental Research
https://www.readbyqxmd.com/read/27916311/land-use-regression-modeling-of-ultrafine-particles-ozone-nitrogen-oxides-and-markers-of-particulate-matter-pollution-in-augsburg-germany
#19
Kathrin Wolf, Josef Cyrys, Tatiana Harciníková, Jianwei Gu, Thomas Kusch, Regina Hampel, Alexandra Schneider, Annette Peters
Important health relevance has been suggested for ultrafine particles (UFP) and ozone, but studies on long-term effects are scarce, mainly due to the lack of appropriate spatial exposure models. We designed a measurement campaign to develop land use regression (LUR) models to predict the spatial variability focusing on particle number concentration (PNC) as indicator for UFP, ozone and several other air pollutants in the Augsburg region, Southern Germany. Three bi-weekly measurements of PNC, ozone, particulate matter (PM10, PM2...
February 1, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/27809494/comparison-of-ultrafine-particle-and-black-carbon-concentration-predictions-from-a-mobile-and-short-term-stationary-land-use-regression-model
#20
Jules Kerckhoffs, Gerard Hoek, Kyle P Messier, Bert Brunekreef, Kees Meliefste, Jochem O Klompmaker, Roel Vermeulen
Mobile and short-term monitoring campaigns are increasingly used to develop land-use regression (LUR) models for ultrafine particles (UFP) and black carbon (BC). It is not yet established whether LUR models based on mobile or short-term stationary measurements result in comparable models and concentration predictions. The goal of this paper is to compare LUR models based on stationary (30 min) and mobile UFP and BC measurements from a single campaign. An electric car collected both repeated stationary and mobile measurements in Amsterdam and Rotterdam, The Netherlands...
December 6, 2016: Environmental Science & Technology
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