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Land use regression

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https://www.readbyqxmd.com/read/28449415/socioeconomic-determinants-of-growth-in-a-longitudinal-study-in-nepal
#1
Delan Devakumar, Dalvir Kular, Bhim P Shrestha, Carlos Grijalva-Eternod, Rhian M Daniel, Naomi M Saville, Dharma S Manandhar, Anthony Costello, David Osrin, Jonathan C K Wells
Socioeconomic status (SES) is associated with childhood anthropometry, but little is known about how it is associated with tissue growth and body composition. To investigate this, we looked at components of SES at birth with growth in early and mid-childhood, and body composition in a longitudinal study in Nepal. The exposure variables (material assets, land ownership, and maternal education) were quantified from questionnaire data before birth. Anthropometry data at birth, 2.5 and 8.5 years, were normalized using WHO reference ranges and conditional growth calculated...
April 27, 2017: Maternal & Child Nutrition
https://www.readbyqxmd.com/read/28448607/complementing-the-topsoil-information-of-the-land-use-land-cover-area-frame-survey-lucas-with-modelled-n2o-emissions
#2
Emanuele Lugato, Lily Paniagua, Arwyn Jones, Wim de Vries, Adrian Leip
Two objectives of the Common Agricultural Policy post-2013 (CAP, 2014-2020) in the European Union (EU) are the sustainable management of natural resources and climate smart agriculture. To understand the CAP impact on these priorities, the Land Use/Cover statistical Area frame Survey (LUCAS) employs direct field observations and soil sub-sampling across the EU. While a huge amount of information can be retrieved from LUCAS points for monitoring the environmental status of agroecosystems and assessing soil carbon sequestration, a fundamental aspect relating to climate change action is missing, namely nitrous oxide (N2O) soil emissions...
2017: PloS One
https://www.readbyqxmd.com/read/28445430/impact-of-land-use-on-pm2-5-pollution-in-a-representative-city-of-middle-china
#3
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/28441467/distribution-of-mammal-functional-diversity-in-the-neotropical-realm-influence-of-land-use-and-extinction-risk
#4
José F González-Maya, Enrique Martínez-Meyer, Rodrigo Medellín, Gerardo Ceballos
Functional diversity represents a measure of diversity that incorporates the role of species in an ecosystem, and therefore its dynamics and resilience. Assessing its drivers and spatial variation represents an important step forward in our understanding of functional ecosystem dynamics and it is also necessary to achieve a comprehensive conservation planning. In this paper, we assessed mammal functional diversity for the 218 ecoregions within the Neotropical realm. We evaluated the overall influence and spatial variation of species richness, ecoregion extent, intervention and species at risk on functional diversity...
2017: PloS One
https://www.readbyqxmd.com/read/28420407/understanding-phlebotomus-perniciosus-abundance-in-south-east-spain-assessing-the-role-of-environmental-and-anthropic-factors
#5
José Risueño, Clara Muñoz, Pedro Pérez-Cutillas, Elena Goyena, Moisés Gonzálvez, María Ortuño, Luis Jesús Bernal, Juana Ortiz, Bulent Alten, Eduardo Berriatua
BACKGROUND: Leishmaniosis is associated with Phlebotomus sand fly vector density, but our knowledge of the environmental framework that regulates highly overdispersed vector abundance distributions is limited. We used a standardized sampling procedure in the bioclimatically diverse Murcia Region in Spain and multilevel regression models for count data to estimate P. perniciosus abundance in relation to environmental and anthropic factors. METHODS: Twenty-five dog and sheep premises were sampled for sand flies using adhesive and light-attraction traps, from late May to early October 2015...
April 19, 2017: Parasites & Vectors
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
#6
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/28418593/nonparametric-tree-based-predictive-modeling-of-storm-outages-on-an-electric-distribution-network
#7
Jichao He, David W Wanik, Brian M Hartman, Emmanouil N Anagnostou, Marina Astitha, Maria E B Frediani
This article compares two nonparametric tree-based models, quantile regression forests (QRF) and Bayesian additive regression trees (BART), for predicting storm outages on an electric distribution network in Connecticut, USA. We evaluated point estimates and prediction intervals of outage predictions for both models using high-resolution weather, infrastructure, and land use data for 89 storm events (including hurricanes, blizzards, and thunderstorms). We found that spatially BART predicted more accurate point estimates than QRF...
March 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28417138/long-term-exposure-to-ambient-air-pollution-and-traffic-noise-and-incident-hypertension-in-seven-cohorts-of-the-european-study-of-cohorts-for-air-pollution-effects-escape
#8
Kateryna B Fuks, Gudrun Weinmayr, Xavier Basagaña, Olena Gruzieva, Regina Hampel, Bente Oftedal, Mette Sørensen, Kathrin Wolf, Geir Aamodt, Gunn Marit Aasvang, Inmaculada Aguilera, Thomas Becker, Rob Beelen, Bert Brunekreef, Barbara Caracciolo, Josef Cyrys, Roberto Elosua, Kirsten Thorup Eriksen, Maria Foraster, Laura Fratiglioni, Agneta Hilding, Danny Houthuijs, Michal Korek, Nino Künzli, Jaume Marrugat, Mark Nieuwenhuijsen, Claes-Göran Östenson, Johanna Penell, Göran Pershagen, Ole Raaschou-Nielsen, Wim J R Swart, Annette Peters, Barbara Hoffmann
Aims: We investigated whether traffic-related air pollution and noise are associated with incident hypertension in European cohorts. Methods and results: We included seven cohorts of the European study of cohorts for air pollution effects (ESCAPE). We modelled concentrations of particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5), ≤10 µm (PM10), >2.5, and ≤10 µm (PMcoarse), soot (PM2.5 absorbance), and nitrogen oxides at the addresses of participants with land use regression...
April 1, 2017: European Heart Journal
https://www.readbyqxmd.com/read/28414720/land-altitude-slope-and-coverage-as-risk-factors-for-porcine-reproductive-and-respiratory-syndrome-prrs-outbreaks-in-the-united-states
#9
Andréia Gonçalves Arruda, Carles Vilalta, Andres Perez, Robert Morrison
Porcine reproductive and respiratory syndrome (PRRS) is, arguably, the most impactful disease on the North American swine industry. The Swine Health Monitoring Project (SHMP) is a national volunteer initiative aimed at monitoring incidence and, ultimately, supporting swine disease control, including PRRS. Data collected through the SHMP currently represents approximately 42% of the sow population of the United States. The objective of the study here was to investigate the association between geographical factors (including land elevation, and land coverage) and PRRS incidence as recorded in the SHMP...
2017: PloS One
https://www.readbyqxmd.com/read/28414467/variation-of-bacterial-communities-with-water-quality-in-an-urban-tropical-catchment
#10
Jean Pierre Nshimyimana, Adam Joshua Ehrich Freedman, Peter Shanahan, Lloyd C H Chua, Janelle Renee Thompson
A major challenge for assessment of water quality in tropical environments is the natural occurrence and potential growth of Fecal Indicator Bacteria (FIB). To gain a better understanding of the relationship between measured levels of FIB and the distribution of sewage-associated bacteria including potential pathogens in the tropics this study compared the abundance of FIB (Total coliforms and E. coli) and the Bacteroidales (HF183 marker) with bacterial community structure determined by next-generation amplicon sequencing...
April 17, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28412434/a-highly-predictive-risk-model-for-pacemaker-implantation-after-tavr
#11
Yoshio Maeno, Yigal Abramowitz, Hiroyuki Kawamori, Yoshio Kazuno, Shunsuke Kubo, Nobuyuki Takahashi, Geeteshwar Mangat, Kazuaki Okuyama, Mohammad Kashif, Tarun Chakravarty, Mamoo Nakamura, Wen Cheng, John Friedman, Daniel Berman, Raj R Makkar, Hasan Jilaihawi
OBJECTIVES: This study sought to develop a robust and definitive risk model for new permanent pacemaker implantation (PPMI) after SAPIEN 3 (third generation balloon expandable valve) (Edwards Lifesciences, Irvine, California) transcatheter aortic valve replacement (third generation balloon expandable valve TAVR), including calcification in the aortic-valvular complex (AVC). BACKGROUND: The association between calcium in the AVC and need for PPMI is poorly delineated after third generation balloon expandable valve TAVR...
April 7, 2017: JACC. Cardiovascular Imaging
https://www.readbyqxmd.com/read/28410375/coping-strategies-related-to-food-insecurity-at-the-household-level-in-bangladesh
#12
Fahmida Dil Farzana, Ahmed Shafiqur Rahman, Sabiha Sultana, Mohammad Jyoti Raihan, Md Ahshanul Haque, Jillian L Waid, Nuzhat Choudhury, Tahmeed Ahmed
INTRODUCTION: In connection to food insecurity, adaptation of new techniques or alteration of regular behavior is executed that translates to coping strategies. This paper has used data from food security and nutrition surveillance project (FSNSP), which collects information from a nationally representative sample in Bangladesh on coping behaviors associated with household food insecurity. To complement the current understanding of different coping strategies implemented by the Bangladeshi households, the objective of this paper has been set to examine the demographic and socio-economic characteristics of the food insecure households which define their propensity towards adaptation of different types of coping strategies...
2017: PloS One
https://www.readbyqxmd.com/read/28409353/assessment-of-spatial-distribution-of-soil-heavy-metals-using-ann-ga-mslr-and-satellite-imagery
#13
Arman Nadari, Mohmmad Amir Delavar, Babak Kaboudin, Mohammad Sagdegh Askari
This study aims to assess and compare heavy metal distribution models developed using stepwise multiple linear regression (MSLR) and neural network-genetic algorithm model (ANN-GA) based on satellite imagery. The source identification of heavy metals was also explored using local Moran index. Soil samples (n = 300) were collected based on a grid and pH, organic matter, clay, iron oxide contents cadmium (Cd), lead (Pb) and zinc (Zn) concentrations were determined for each sample. Visible/near-infrared reflectance (VNIR) within the electromagnetic ranges of satellite imagery was applied to estimate heavy metal concentrations in the soil using MSLR and ANN-GA models...
May 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28405753/relationships-between-land-use-and-stream-nutrient-concentrations-in-a-highly-urbanized-tropical-region-of-brazil-thresholds-and-riparian-zones
#14
F Tromboni, W K Dodds
Nutrient enrichment in streams due to land use is increasing globally, reducing water quality and causing eutrophication of downstream fresh and coastal waters. In temperate developed countries, the intensive use of fertilizers in agriculture is a main driver of increasing nutrient concentrations, but high levels and fast rates of urbanization can be a predominant issue in some areas of the developing world. We investigated land use in the highly urbanized tropical State of Rio de Janeiro, Brazil. We collected total nitrogen, total phosphorus, and inorganic nutrient data from 35 independent watersheds distributed across the State and characterized land use at a riparian and entire watershed scales upstream from each sample station, using ArcGIS...
April 12, 2017: Environmental Management
https://www.readbyqxmd.com/read/28405539/quantifying-biomass-consumption-and-carbon-release-from-the-california-rim-fire-by-integrating-airborne-lidar-and-landsat-oli-data
#15
Mariano Garcia, Sassan Saatchi, Angeles Casas, Alexander Koltunov, Susan Ustin, Carlos Ramirez, Jorge Garcia-Gutierrez, Heiko Balzter
Quantifying biomass consumption and carbon release is critical to understanding the role of fires in the carbon cycle and air quality. We present a methodology to estimate the biomass consumed and the carbon released by the California Rim fire by integrating postfire airborne LiDAR and multitemporal Landsat Operational Land Imager (OLI) imagery. First, a support vector regression (SVR) model was trained to estimate the aboveground biomass (AGB) from LiDAR-derived metrics over the unburned area. The selected model estimated AGB with an R(2) of 0...
February 2017: Journal of Geophysical Research. Biogeosciences
https://www.readbyqxmd.com/read/28404541/making-air-pollution-visible-a-tool-for-promoting-environmental-health-literacy
#16
Ekaterina Galkina Cleary, Allison P Patton, Hsin-Ching Wu, Alan Xie, Joseph Stubblefield, William Mass, Georges Grinstein, Susan Koch-Weser, Doug Brugge, Carolyn Wong
BACKGROUND: Digital maps are instrumental in conveying information about environmental hazards geographically. For laypersons, computer-based maps can serve as tools to promote environmental health literacy about invisible traffic-related air pollution and ultrafine particles. Concentrations of these pollutants are higher near major roadways and increasingly linked to adverse health effects. Interactive computer maps provide visualizations that can allow users to build mental models of the spatial distribution of ultrafine particles in a community and learn about the risk of exposure in a geographic context...
April 12, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28395241/spatial-variations-in-ambient-ultrafine-particle-concentrations-and-the-risk-of-incident-prostate-cancer-a-case-control-study
#17
Scott Weichenthal, Eric Lavigne, Marie-France Valois, Marianne Hatzopoulou, Keith Van Ryswyk, Maryam Shekarrizfard, Paul J Villeneuve, Mark S Goldberg, Marie-Elise Parent
BACKGROUND: Diesel exhaust contains large numbers of ultrafine particles (UFPs, <0.1µm) and is a recognized human carcinogen. However, epidemiological studies have yet to evaluate the relationship between UFPs and cancer incidence. METHODS: We conducted a case-control study of UFPs and incident prostate cancer in Montreal, Canada. Cases were identified from all main Francophone hospitals in the Montreal area between 2005 and 2009. Population controls were identified from provincial electoral lists of French Montreal residents and frequency-matched to cases using 5-year age groups...
April 7, 2017: Environmental Research
https://www.readbyqxmd.com/read/28395240/associations-between-lifestyle-and-air-pollution-exposure-potential-for-confounding-in-large-administrative-data-cohorts
#18
Maciej Strak, Nicole Janssen, Rob Beelen, Oliver Schmitz, Derek Karssenberg, Danny Houthuijs, Carolien van den Brink, Martin Dijst, Bert Brunekreef, Gerard Hoek
BACKGROUND: Cohorts based on administrative data have size advantages over individual cohorts in investigating air pollution risks, but often lack in-depth information on individual risk factors related to lifestyle. If there is a correlation between lifestyle and air pollution, omitted lifestyle variables may result in biased air pollution risk estimates. Correlations between lifestyle and air pollution can be induced by socio-economic status affecting both lifestyle and air pollution exposure...
April 7, 2017: Environmental Research
https://www.readbyqxmd.com/read/28390839/validation-of-an-equation-predicting-highly-unsaturated-fatty-acid-hufa-compositions-of-human-blood-fractions-from-dietary-intakes-of-both-hufas-and-their-precursors
#19
Sarah E Strandjord, Bill Lands, Joseph R Hibbeln
Proportions of omega-3 (n-3) and omega-6 (n-6) in 20- and 22-carbon highly unsaturated fatty acids with 3 or more double bonds (HUFA) accumulated in tissue HUFA (e.g., the %n-6 in HUFA) are biomarkers reflecting intakes of n-6 and n-3 fatty acids. An empirical equation, referred to here as the Lands' Equation, was developed previously to use dietary intakes of n-6 and n-3 HUFA and their 18-carbon precursors to estimate the %n-6 in HUFA of humans. From the PubMed database, we identified clinical trials reporting (a) dietary intake of at least linoleic acid (18:2n-6) and alpha-linolenic acid (18:3n-3), and (b) the amounts of at least arachidonic acid (20:4n-6), eicosapentaenoic acid (20:5n-3), and docosahexaenoic acid (22:6n-3) in lipids of plasma, serum, or red blood cell...
March 8, 2017: Prostaglandins, Leukotrienes, and Essential Fatty Acids
https://www.readbyqxmd.com/read/28384578/monitoring-the-spatio-temporal-changes-of-terrestrial-water-storage-using-grace-data-in-the-tarim-river-basin-between-2002-and-2015
#20
Peng Yang, Jun Xia, Chesheng Zhan, Yunfeng Qiao, Yueling Wang
With the threat of water shortages intensifying, the need to identify the terrestrial water storage (TWS) variation in the Tarim River Basin (TRB) becomes very significant for managing its water resource. Due to the lack of large-scale hydrological data, this study employed the Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) to monitor TWS variation in the TRB during the period of 2002-2015, cooperating with two statistical techniques, Principal Component Analysis (PCA) - Empirical Orthogonal Function (EOF) and Multiple Linear Regression (MLR)...
April 3, 2017: Science of the Total Environment
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