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Land use regression LUR

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https://www.readbyqxmd.com/read/28715783/development-of-land-use-regression-models-for-pm2-5-so2-no2-and-o3-in-nanjing-china
#1
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...
July 14, 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
#2
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...
July 3, 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
#3
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
#4
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...
June 27, 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
#5
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 R2 values ranging from 0...
June 28, 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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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...
February 14, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28189072/modeling-the-intraurban-variation-in-nitrogen-dioxide-in-urban-areas-in-kathmandu-valley-nepal
#14
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
#15
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
#16
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
https://www.readbyqxmd.com/read/27768283/independent-validation-of-national-satellite-based-land-use-regression-models-for-nitrogen-dioxide-using-passive-samplers
#17
Luke D Knibbs, Craig P Coorey, Matthew J Bechle, Christine T Cowie, Mila Dirgawati, Jane S Heyworth, Guy B Marks, Julian D Marshall, Lidia Morawska, Gavin Pereira, Michael G Hewson
Including satellite observations of nitrogen dioxide (NO2) in land-use regression (LUR) models can improve their predictive ability, but requires rigorous evaluation. We used 123 passive NO2 samplers sited to capture within-city and near-road variability in two Australian cities (Sydney and Perth) to assess the validity of annual mean NO2 estimates from existing national satellite-based LUR models (developed with 68 regulatory monitors). The samplers spanned roadside, urban near traffic (≤100 m to a major road), and urban background (>100 m to a major road) locations...
November 15, 2016: Environmental Science & Technology
https://www.readbyqxmd.com/read/27713105/associations-between-long-term-particulate-matter-exposure-and-adult-renal-function-in-the-taipei-metropolis
#18
Ya-Ru Yang, Yung-Ming Chen, Szu-Ying Chen, Chang-Chuan Chan
BACKGROUND: Studies on the effect of air pollutions on kidney diseases are still limited. OBJECTIVE: We aimed to investigate the associations between particulate matter (PM) exposures and renal function among adults. METHODS: We recruited 21,656 adults as participants from 2007 to 2009. The Taiwanese Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was used to derive the estimated glomerular filtration rate (eGFR). Subjects with an eGFR lower than 60 mL/min/1...
April 2017: Environmental Health Perspectives
https://www.readbyqxmd.com/read/27672737/combining-land-use-regression-models-and-fixed-site-monitoring-to-reconstruct-spatiotemporal-variability-of-no2-concentrations-over-a-wide-geographical-area
#19
M Cordioli, C Pironi, E De Munari, N Marmiroli, P Lauriola, A Ranzi
The epidemiological research benefits from an accurate characterization of both spatial and temporal variability of exposure to air pollution. This work aims at proposing a method to combine the high spatial resolution of Land Use Regression (LUR) models with the high temporal resolution of fixed site monitoring data, to model spatiotemporal variability of NO2 over a wide geographical area in Northern Italy. We developed seasonal LUR models to reconstruct the spatial distribution of a scaling factor that relates local concentrations to those measured at two reference central sites, one for the northern flat area and one for the southern mountain area...
September 24, 2016: Science of the Total Environment
https://www.readbyqxmd.com/read/27629499/estrogen-receptor-beta-polymorphisms-and-cognitive-performance-in-women-associations-and-modifications-by-genetic-and-environmental-influences
#20
Karin Fehsel, Tamara Schikowski, Michaela Jänner, Anke Hüls, Mohammed Voussoughi, Thomas Schulte, Andrea Vierkötter, Tom Teichert, Christian Herder, Dorothea Sugiri, Ursula Krämer, Christian Luckhaus
Genetic and environmental risk factors contribute to the pathogenesis of Alzheimer's dementia. Besides known genetic risk factors like the apolipoprotein (APO) Eε4 allele, single nuclear polymorphisms (SNPs) of the estrogen receptors (ESRs) are candidate genetic risk factors, while air pollution represents an environmental risk factor for dementia. Effects of these risk factors and their interaction were investigated in the SALIA cohort of 834 non-demented elderly women. Cognitive function was assessed by the CERAD-plus test battery...
December 2016: Journal of Neural Transmission
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