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Land use regression

Nazanin Saeidi, Xiaoqiong Gu, Tran Ngoc Han, Shin Giek Goh, Masaaki Kitajima, Ariel Kushmaro, Bradley William Schmitz, Karina Yew-Hoong Gin
This study evaluates the geospatial distribution of fecal indicator bacteria (FIB) (i.e., E. coli , Enterococcus spp.) and the alternative fecal indicator, pepper mild mottle virus (PMMoV), in tropical freshwater environments under different land use patterns. Results show that the occurrence and concentration of microbial fecal indicators was higher for urban-dominated areas than parkland-dominated, consistent with land use weightage. Significant positive correlations with traditional FIB indicate that PMMoV is a suitable indicator of fecal contamination in tropical catchments waters (0...
May 18, 2018: Applied and Environmental Microbiology
Jennifer L Marcum, Michael Foley, Darrin Adams, Dave Bonauto
INTRODUCTION: Construction is high-hazard industry, and continually ranks among those with the highest workers' compensation (WC) claim rates in Washington State (WA). However, not all construction firms are at equal risk. We tested the ability to identify those construction firms most at risk for future claims using only administrative WC and unemployment insurance data. METHODS: We collected information on construction firms with 10-50 average full time equivalent (FTE) employees from the WA unemployment insurance and WC data systems (n=1228)...
June 2018: Journal of Safety Research
M Schwieder, P J Leitão, J R R Pinto, A M C Teixeira, F Pedroni, M Sanchez, M M Bustamante, P Hostert
BACKGROUND: The quantification and spatially explicit mapping of carbon stocks in terrestrial ecosystems is important to better understand the global carbon cycle and to monitor and report change processes, especially in the context of international policy mechanisms such as REDD+ or the implementation of Nationally Determined Contributions (NDCs) and the UN Sustainable Development Goals (SDGs). Especially in heterogeneous ecosystems, such as Savannas, accurate carbon quantifications are still lacking, where highly variable vegetation densities occur and a strong seasonality hinders consistent data acquisition...
May 15, 2018: Carbon Balance and Management
Matthew C Simon, Allison P Patton, Elena N Naumova, Jonathan I Levy, Prashant Kumar, Doug Brugge, John L Durant
Significant spatial and temporal variation in ultrafine particle (UFP; <100 nanometers in diameter) concentrations creates challenges in developing predictive models for epidemiological investigations. We compared the performance of land-use regression models built by combining mobile and stationary measurements (hybrid model) with a regression model built using mobile measurements only (mobile model) in Chelsea and Boston, MA (USA). In each study area, particle number concentration (PNC; a proxy for UFP) was measured at a stationary reference site and with a mobile laboratory driven along a fixed route during a ~1-year monitoring period...
May 15, 2018: Environmental Science & Technology
Linlu Mei, Vladimir Rozanov, Marco Vountas, John P Burrows, Robert C Levy, Wolfhardt Lotz
The MEdium Resolution Imaging Spectrometer (MERIS) instrument on board ESA Envisat made measurements from 2002 to 2012. Although MERIS was limited in spectral coverage, accurate Aerosol Optical Thickness (AOT) from MERIS data are retrieved by using appropriate additional information. We introduce a new AOT retrieval algorithm for MERIS over land surfaces, referred to as eXtensible Bremen AErosol Retrieval (XBAER). XBAER is similar to the "dark-target" (DT) retrieval algorithm used for Moderate-resolution Imaging Spectroradiometer (MODIS), in that it uses a lookup table (LUT) to match to satellite-observed reflectance and derive the AOT...
August 2017: Remote Sensing of Environment
Junyu He, George Christakos
Long- and short-term exposure to PM2.5 is of great concern in China due to its adverse population health effects. Characteristic of the severity of the situation in China is that in the Jing-Jin-Ji region considered in this work a total of 2725 excess deaths have been attributed to short-term PM2.5 exposure during the period January 10-31, 2013. Technically, the processing of large space-time PM2.5 datasets and the mapping of the space-time distribution of PM2.5 concentrations often constitute high-cost projects...
May 7, 2018: Environmental Pollution
Andreas Heinemeyer, Graeme T Swindles
Peatlands represent globally significant soil carbon stores that have been accumulating for millennia under water-logged conditions. However, deepening water-table depths (WTD) from climate change or human-induced drainage could stimulate decomposition resulting in peatlands turning from carbon sinks to carbon sources. Contemporary WTD ranges of testate amoebae (TA) are commonly used to predict past WTD in peatlands using quantitative transfer function models. Here we present, for the first time, a study comparing TA-based WTD reconstructions to instrumentally-monitored WTD and hydrological model predictions using the MILLENNIA peatland model to examine past peatland responses to climate change and land management...
May 8, 2018: Global Change Biology
Jingzhe Wang, Jianli Ding, Aerzuna Abulimiti, Lianghong Cai
Soil salinization is one of the most common forms of land degradation. The detection and assessment of soil salinity is critical for the prevention of environmental deterioration especially in arid and semi-arid areas. This study introduced the fractional derivative in the pretreatment of visible and near infrared (VIS-NIR) spectroscopy. The soil samples ( n  = 400) collected from the Ebinur Lake Wetland, Xinjiang Uyghur Autonomous Region (XUAR), China, were used as the dataset. After measuring the spectral reflectance and salinity in the laboratory, the raw spectral reflectance was preprocessed by means of the absorbance and the fractional derivative order in the range of 0...
2018: PeerJ
Dirga Kumar Lamichhane, Jia Ryu, Jong-Han Leem, Mina Ha, Yun-Chul Hong, Hyesook Park, Yangho Kim, Dal-Young Jung, Ji-Young Lee, Hwan-Cheol Kim, Eun-Hee Ha
Few studies have examined the effects of air pollution on fetal growth based on ultrasound measures during pregnancy. More data is needed to evaluate the windows of special vulnerability. Our aim was to investigate the association of ambient air pollution during pregnancy with fetal and neonatal characteristics in a cohort of Korean women. Maternal exposure to particulate matter with an aerodynamic diameter<10μm (PM10 ) and nitrogen dioxide (NO2 ) was estimated using land-use regression models based on residential address...
April 1, 2018: Science of the Total Environment
Temesgen Gashaw, Taffa Tulu, Mekuria Argaw, Abeyou W Worqlul
Understanding the hydrological response of a watershed to land use/land cover (LULC) changes is imperative for water resources management planning. The objective of this study was to analyze the hydrological impacts of LULC changes in the Andassa watershed for a period of 1985-2015 and to predict the LULC change impact on the hydrological status in year 2045. The hybrid land use classification technique for classifying Landsat images (1985, 2000 and 2015); Cellular-Automata Markov (CA-Markov) for prediction of the 2030 and 2045 LULC states; the Soil and Water Assessment Tool (SWAT) for hydrological modeling were employed in the analyses...
April 1, 2018: Science of the Total Environment
Joan Marull, Enric Tello, Guillem Bagaria, Xavier Font, Claudio Cattaneo, Joan Pino
The debate about the relative merits of the 'land-sparing' and 'land-sharing' approaches to biodiversity conservation is usually addressed at local scale. Here, however, we undertake a regional-scale approach to this issue by exploring the association between the Human Appropriation of Net Primary Production (HANPP) and biodiversity components (plants, amphibians, reptiles, birds and mammals) across a gradient of human-transformed landscapes in Catalonia, Spain. We propose an Intermediate Disturbance Complexity (IDC) model to assess how human disturbance of the photosynthetic capacity affects the landscape patterns and processes that host biodiversity...
April 1, 2018: Science of the Total Environment
Pilar Vizcaino, Carlo Lavalle
A new Land Use Regression model was built to develop pan-European 100 m resolution maps of NO2 concentrations. The model was built using NO2 concentrations from routine monitoring stations available in the Airbase database as dependent variable. Predictor variables included land use, road traffic proxies, population density, climatic and topographical variables, and distance to sea. In order to capture international and inter regional disparities not accounted for with the mentioned predictor variables, additional proxies of NO2 concentrations, like levels of activity intensity and NOx emissions for specific sectors, were also included...
May 4, 2018: Environmental Pollution
Li Chen, Shuang Gao, Hui Zhang, Yanling Sun, Zhenxing Ma, Sverre Vedal, Jian Mao, Zhipeng Bai
Concentrations of particulate matter with aerodynamic diameter <2.5 μm (PM2.5 ) are relatively high in China. Estimation of PM2.5 exposure is complex because PM2.5 exhibits complex spatiotemporal patterns. To improve the validity of exposure predictions, several methods have been developed and applied worldwide. A hybrid approach combining a land use regression (LUR) model and Bayesian Maximum Entropy (BME) interpolation of the LUR space-time residuals were developed to estimate the PM2.5 concentrations on a national scale in China...
May 3, 2018: Environment International
Yang Yang, Robert Tang, Hong Qiu, Poh-Chin Lai, Paulina Wong, Thuan-Quoc Thach, Ryan Allen, Michael Brauer, Linwei Tian, Benjamin Barratt
BACKGROUND: Several studies have reported associations between long term exposure to air pollutants and cause-specific mortality. However, since the concentrations of air pollutants in Asia are much higher compared to those reported in North American and European cohort studies, cohort studies on long term effects of air pollutants in Asia are needed for disease burden assessment and to inform policy. OBJECTIVES: To assess the effects of long-term exposure to particulate matter with aerodynamic diameter < 2...
May 3, 2018: Environment International
Rebecca Bentley, Tony Blakely, Anne Kavanagh, Zoe Aitken, Tania King, Paul McElwee, Billie Giles-Corti, Gavin Turrell
BACKGROUND: Societies face the challenge of keeping people active as they age. Walkable neighborhoods have been associated with physical activity, but more rigorous analytical approaches are needed. OBJECTIVES: We used longitudinal data from adult residents of Brisbane, Australia (40-65 years of age at baseline) to estimate effects of changes in neighborhood characteristics over a 6-y period on the likelihood of walking for transport. METHODS: Analyses included 2,789-9,747 How Areas Influence Health and Activity (HABITAT) cohort participants from 200 neighborhoods at baseline (2007) who completed up to three follow-up questionnaires (through 2013)...
May 3, 2018: Environmental Health Perspectives
Xueying Zhang, Yiyi Chu, Yuxuan Wang, Kai Zhang
BACKGROUND AND OBJECTIVE: The regulatory monitoring data of particulate matter with an aerodynamic diameter <2.5μm (PM2.5 ) in Texas have limited spatial and temporal coverage. The purpose of this study is to estimate the ground-level PM2.5 concentrations on a daily basis using satellite-retrieved Aerosol Optical Depth (AOD) in the state of Texas. METHODS: We obtained the AOD values at 1-km resolution generated through the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm based on the images retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellites...
August 1, 2018: Science of the Total Environment
Saori Kashima, Takashi Yorifuji, Norie Sawada, Tomoki Nakaya, Akira Eboshida
BACKGROUND: Typically, land use regression (LUR) models have been developed using campaign monitoring data rather than routine monitoring data. However, the latter have advantages such as low cost and long-term coverage. Based on the idea that LUR models representing regional differences in air pollution and regional road structures are optimal, the objective of this study was to evaluate the validity of LUR models for nitrogen dioxide (NO2 ) based on routine and campaign monitoring data obtained from an urban area...
August 1, 2018: Science of the Total Environment
Shi Kai Wei, Shun Xiang Fan, Yu Zhen Zhang, Xuan Rui Huang, Zhi Dong Zhang
To explore the changes of vegetation landscape pattern and its driving mechanism in Saihanba Nature Reserve, we analyzed vegetation type changes from 1989 to 2013 and the driving factors using random forest and Logistic regression models in conjunction with land dynamic degree indicator, based on three Landsat TM imageries obtained in 1989, 2000 and 2013. The results showed that the proportion of shrubland was always small in this area from 1989 to 2013. During 1989-2013, the proportion of shrubland rapidly decreased and plantation area significantly increased, while the area of grassland and natural secondary forest slightly changed...
April 2018: Ying Yong Sheng Tai Xue Bao, the Journal of Applied Ecology
Wei Li, Changchun Li, Xuefeng Liu, Daming He, Anming Bao, Qiuxiang Yi, Baoshan Wang, Tie Liu
Against the background of global climate change, spatial-temporal variation in net primary productivity (NPP) has attracted much attention. To analyze NPP spatial-temporal variation within the context of changes in hydrothermal conditions, the Vegetation Photosynthesis Model (VPM) is used to elucidate the mathematical relationship between NPP and hydrothermal conditions. Based on this spatial-temporal pattern of NPP and hydrothermal conditions in the Lancang-Mekong River Basin, regression statistics, an empirical model of land evaporation, and the water and thermal product index (K) are used to evaluate correlations between NPP and hydrothermal conditions in terms of their distribution pattern and interaction...
May 2, 2018: Environmental Monitoring and Assessment
Shin Araki, Masayuki Shima, Kouhei Yamamoto
Adequate spatial and temporal estimates of NO2 concentrations are essential for proper prenatal exposure assessment. Here, we develop a spatiotemporal land use random forest (LURF) model of the monthly mean NO2 over four years in a metropolitan area of Japan. The overall objective is to obtain accurate NO2 estimates for use in prenatal exposure assessments. We use random forests to convey the non-linear relationship between NO2 concentrations and predictor variables, and compare the prediction accuracy with that of a linear regression...
April 17, 2018: Science of the Total Environment
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