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Land use regression LUR

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https://www.readbyqxmd.com/read/28501653/incorporating-wind-availability-into-land-use-regression-modelling-of-air-quality-in-mountainous-high-density-urban-environment
#1
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
#2
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
#3
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...
April 15, 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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
https://www.readbyqxmd.com/read/27622593/annual-and-seasonal-spatial-models-for-nitrogen-oxides-in-tehran-iran
#16
Heresh Amini, Seyed-Mahmood Taghavi-Shahri, Sarah B Henderson, Vahid Hosseini, Hossein Hassankhany, Maryam Naderi, Solmaz Ahadi, Christian Schindler, Nino Künzli, Masud Yunesian
Very few land use regression (LUR) models have been developed for megacities in low- and middle-income countries, but such models are needed to facilitate epidemiologic research on air pollution. We developed annual and seasonal LUR models for ambient oxides of nitrogen (NO, NO2, and NOX) in the Middle Eastern city of Tehran, Iran, using 2010 data from 23 fixed monitoring stations. A novel systematic algorithm was developed for spatial modeling. The R(2) values for the LUR models ranged from 0.69 to 0.78 for NO, 0...
September 13, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27618146/development-evaluation-and-comparison-of-land-use-regression-modeling-methods-to-estimate-residential-exposure-to-nitrogen-dioxide-in-a-cohort-study
#17
Jonathan Gillespie, Iain J Beverland, Scott Hamilton, Sandosh Padmanabhan
We used a network of 135 NO2 passive diffusion tube sites to develop land use regression (LUR) models in a UK conurbation. Network sites were divided into four groups (32-35 sites per group) and models developed using combinations of 1-3 groups of "training" sites to evaluate how the number of training sites influenced model performance and residential NO2 exposure estimates for a cohort of 13 679 participants. All models explained moderate to high variance in training and independent "hold-out" data (Training adj...
October 18, 2016: Environmental Science & Technology
https://www.readbyqxmd.com/read/27544653/spatial-variation-in-diesel-related-elemental-and-organic-pm2-5-components-during-workweek-hours-across-a-downtown-core
#18
Brett J Tunno, Jessie L C Shmool, Drew R Michanowicz, Sheila Tripathy, Lauren G Chubb, Ellen Kinnee, Leah Cambal, Courtney Roper, Jane E Clougherty
Capturing intra-urban variation in diesel-related pollution exposures remains a challenge, given its complex chemical mix, and relatively few well-characterized ambient-air tracers for the multiple diesel sources in densely-populated urban areas. To capture fine-scale spatial resolution (50×50m grid cells) in diesel-related pollution, we used geographic information systems (GIS) to systematically allocate 36 sampling sites across downtown Pittsburgh, PA, USA (2.8km(2)), cross-stratifying to disentangle source impacts (i...
December 15, 2016: Science of the Total Environment
https://www.readbyqxmd.com/read/27529260/sleep-disturbance-from-road-traffic-railways-airplanes-and-from-total-environmental-noise-levels-in-montreal
#19
Stéphane Perron, Céline Plante, Martina S Ragettli, David J Kaiser, Sophie Goudreau, Audrey Smargiassi
The objective of our study was to measure the impact of transportation-related noise and total environmental noise on sleep disturbance for the residents of Montreal, Canada. A telephone-based survey on noise-related sleep disturbance among 4336 persons aged 18 years and over was conducted. LNight for each study participant was estimated using a land use regression (LUR) model. Distance of the respondent's residence to the nearest transportation noise source was also used as an indicator of noise exposure. The proportion of the population whose sleep was disturbed by outdoor environmental noise in the past 4 weeks was 12...
2016: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/27496622/cutaneous-leishmaniasis-prevalence-and-morbidity-based-on-environmental-factors-in-ilam-iran-spatial-analysis-and-land-use-regression-models
#20
Mehdi Mokhtari, Mohammad Miri, Ali Nikoonahad, Ali Jalilian, Razi Naserifar, Hamid Reza Ghaffari, Farogh Kazembeigi
The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software...
November 2016: Acta Tropica
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