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Estimating Ground Level Pm25 In Texas From Remote Sensing Satellite Data With Interpolation And Regression Methods
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Book Synopsis Estimating Ground-level PM2.5 in Texas from Remote Sensing Satellite Data with Interpolation and Regression Methods by : Xiaoyan Jiang
Download or read book Estimating Ground-level PM2.5 in Texas from Remote Sensing Satellite Data with Interpolation and Regression Methods written by Xiaoyan Jiang and published by . This book was released on 2009 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of remote sensing satellite data in air quality monitoring system at a regional scale is an important method to provide high spatial / temporal resolution information. This work focuses on estimating high spatial / temporal resolution ground-level information about particulate matter with aerodynamic diameters less than 2.5 um (PM2.5), with the utilization of MODIS aerosol optical thickness (AOT) data and meteorological data. Several missing data reconstruction techniques including Bayesian inversion, regularization and prediction-error filter are employed to estimate PM2.5 from satellite data. The results show that several direct missing data interpolation methods have the capability to estimate some distinctive features on the basis of available ground-based measurements, while the PEF method tends to generate more information with the aid of satellite AOT information. In addition to interpolation methods, general linear regression methods are used to predict ground-level PM2.5 with the consideration of other factors that have been shown to play an important role in predictions. Ordinary Least Square (OLS) method, when natural log taken on dependent and independent variables, is able to reduce the violation of homoscedasticity. The scatterplot of predicted and measured PM2.5 shows a strong correlation over the validation region, indicating the ability of the regression model to predict PM2.5. Weighted Least Square (WLS) method also has advantage in improving homoscedasticity. The predicted and measured PM2.5 has a relatively high correlation.
Book Synopsis Spatiotemporal Analysis of Air Pollution and Its Application in Public Health by : Lixin Li
Download or read book Spatiotemporal Analysis of Air Pollution and Its Application in Public Health written by Lixin Li and published by Elsevier. This book was released on 2019-11-13 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the spatial temporal distribution and trends of air pollution in the atmosphere, including how this information can be tied into the diverse amount of public health data available using accurate GIS techniques. By utilizing GIS to monitor, analyze and visualize air pollution problems, it has proven to not only be the most powerful, accurate and flexible way to understand the atmosphere, but also a great way to understand the impact air pollution has in diverse populations. This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution. Introduces readers to the benefits and uses of geo-spatiotemporal analyses of big data to reveal new and greater understanding of the intersection of air pollution and health Ties in machine learning to improve speed and efficacy of data models Includes developing visualizations, historical data, and real-time air pollution in large geographic areas
Book Synopsis Estimating Ground-level PM10 in a Chinese City by Combining Satellite Data, Meteorological Information and a Land Use Regression Model by :
Download or read book Estimating Ground-level PM10 in a Chinese City by Combining Satellite Data, Meteorological Information and a Land Use Regression Model written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis New Algorithm for Estimating Ground-level Concentration of Particulate Matter Using Satellite Remote Sensing by : Changqing Lin
Download or read book New Algorithm for Estimating Ground-level Concentration of Particulate Matter Using Satellite Remote Sensing written by Changqing Lin and published by . This book was released on 2016 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Site-Specific PM2.5 Estimation at Three Urban Scales by : Yogita Yashawant Karale
Download or read book Site-Specific PM2.5 Estimation at Three Urban Scales written by Yogita Yashawant Karale and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Fine particulate matter, also known as PM2.5, is one of the major risk factors to human health. Because of their small size, these particles travel deep within human lungs and pose a variety of health problems. A primary source of acquiring PM2.5 exposure is based on the nearest groundlevel air quality monitoring station. However, these stations are often few and sparsely located due to their high costs for installation and maintenance. This study addresses three challenges related to PM2.5. First, the number of air-quality monitoring sites is insufficient to acquire the complex spatial variability of PM2.5. Therefore, in-situ ground observations fail to characterize PM2.5 distribution, and hence exposure, adequately. The shortfall calls for models capable of estimating PM2.5 at unmonitored locations. Satellite-based Aerosol Optical Depth (AOD) serves as a proxy to estimate PM2.5. Second, although satellite data can supplement PM2.5 estimates at unmonitored locations, the spatial resolutions of satellite-based estimates of PM2.5 are in the order of kilometers. These spatial grains are too coarse to capture PM2.50́9s spatial variation caused by contextual geographic factors such as buildings, and subsequently the estimates0́9 applicabilities to support environmental exposome on health effects. Third, the current standards measure PM2.5 in terms of mass per volume, but findings from some recent studies suggest that alternative measures of PM2.5 are also strongly associated with adverse health outcomes. However, observations in terms of these measures are not available. The dissertation research aimed to address the three challenges in three studies. The first study evaluated the potential of the Convolutional Neural Network (CNN) approach to downscale PM2.5 using satellite-based AOD and meteorological data using Dallas-Fort Worth as a case study. The study developed a model capable of estimating PM2.5 corresponding to the hour of satellite overpass time and examined environmental predictors commonly available for all monitored or non-monitored locations. In particular, the study investigated the effect of the spatial extent to which predictors from the surrounding area influenced the PM2.5 estimates at a location. The results showed that the proposed CNN model effectively estimates PM2.5 concentration with correlation coefficient (R) of 0.87 and root mean squared error (RMSE) of 2.57 Îơg/m3 . Moreover, spatially lagged variables from a wider area around an estimation location improved the model performance. As most monitoring stations were in open areas, data from these stations could not be used to examine the effect of contextual factors, such as the building on PM2.5. The second study evaluated the effects of contextual geographic factors on PM2.5 in mass per volume (i.e., standard measures) in pedestrian-friendly areas on the University of Texas at Dallas campus. The study used a mobile sensor to collect spatial and temporal fineresolution PM2.5 data on the campus. The study found very low spatial variation in the study area less than 1km2 . Furthermore, weather-related variables played a dominant role in PM2.5 distribution as temporal variation over-powered spatial variation in PM2.5 data. The study employed a fixed effect model to assess the effect of time-invariant building morphological characteristics on PM2.5 and found that building0́9s morphological characteristics explained 33.22% variation in the fixed effects in the model. Furthermore, openness in the direction of wind elevated the PM2.5 concentration. The third study investigated the potential of AOD to downscale Particle Number (PN) concentration, an alternative measure of PM2.5, and the effect of building morphology on PN concentration using PN measurements collected across the streets of San Francisco by the Google streetcar. The study showed that AOD remained useful to estimate street-level PN concentration across five different particle sizes. The subsequent analysis of variable importance revealed that AOD and AOD-related variables were more important than building morphology but less important than meteorological variables in the estimation of PN concentration.
Download or read book Midnight Blue written by Pauline Fisk and published by Bloomsbury Publishing USA. This book was released on 2005-05-06 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bonnie's newfound happiness in a world beyond the sky is threatened by the cruel Grandbag, and although she is offered help by the ancient, elusive lord and lady of the hill, she alone must meet the challenge in the end.
Book Synopsis Geospatial Analysis of Environmental Health by : Juliana A. Maantay
Download or read book Geospatial Analysis of Environmental Health written by Juliana A. Maantay and published by Springer Science & Business Media. This book was released on 2011-03-18 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a range of geospatial applications for environmental health research, including environmental justice issues, environmental health disparities, air and water contamination, and infectious diseases. Environmental health research is at an exciting point in its use of geotechnologies, and many researchers are working on innovative approaches. This book is a timely scholarly contribution in updating the key concepts and applications of using GIS and other geospatial methods for environmental health research. Each chapter contains original research which utilizes a geotechnical tool (Geographic Information Systems (GIS), remote sensing, GPS, etc.) to address an environmental health problem. The book is divided into three sections organized around the following themes: issues in GIS and environmental health research; using GIS to assess environmental health impacts; and geospatial methods for environmental health. Representing diverse case studies and geospatial methods, the book is likely to be of interest to researchers, practitioners and students across the geographic and environmental health sciences. The authors are leading researchers and practitioners in the field of GIS and environmental health.
Book Synopsis Neural Networks for Pattern Recognition by : Christopher M. Bishop
Download or read book Neural Networks for Pattern Recognition written by Christopher M. Bishop and published by Oxford University Press. This book was released on 1995-11-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.
Book Synopsis Predictive Soil Mapping with R by : Tomislav Hengl
Download or read book Predictive Soil Mapping with R written by Tomislav Hengl and published by Lulu.com. This book was released on 2019-02-16 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014?2017
Book Synopsis Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) by : A. Pasumpon Pandian
Download or read book Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) written by A. Pasumpon Pandian and published by Springer Nature. This book was released on 2020-03-04 with total page 1019 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the International Conference on Computing Networks, Big Data and IoT [ICCBI 2019], held on December 19–20, 2019 at the Vaigai College of Engineering, Madurai, India. Recent years have witnessed the intertwining development of the Internet of Things and big data, which are increasingly deployed in computer network architecture. As society becomes smarter, it is critical to replace the traditional technologies with modern ICT architectures. In this context, the Internet of Things connects smart objects through the Internet and as a result generates big data. This has led to new computing facilities being developed to derive intelligent decisions in the big data environment. The book covers a variety of topics, including information management, mobile computing and applications, emerging IoT applications, distributed communication networks, cloud computing, and healthcare big data. It also discusses security and privacy issues, network intrusion detection, cryptography, 5G/6G networks, social network analysis, artificial intelligence, human–machine interaction, smart home and smart city applications.
Author :IARC Working Group on the Evaluation of Carcinogenic Risks to Humans Publisher :IARC Monographs on the Evaluat ISBN 13 :9789283201472 Total Pages :0 pages Book Rating :4.2/5 (14 download)
Book Synopsis Outdoor Air Pollution by : IARC Working Group on the Evaluation of Carcinogenic Risks to Humans
Download or read book Outdoor Air Pollution written by IARC Working Group on the Evaluation of Carcinogenic Risks to Humans and published by IARC Monographs on the Evaluat. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This publication represents the views and expert opinions of an IARC Working Group on the Evaluation of Carcinogenic Risk to Humans, which met in Lyon, 8-15 October 2013."
Author :Food and Agriculture Organization of the United Nations Publisher :Food & Agriculture Org. ISBN 13 :925131960X Total Pages :132 pages Book Rating :4.2/5 (513 download)
Book Synopsis Remote sensing for space-time mapping of smog in Punjab and identification of the underlying causes using geographic information system (R-SMOG) by : Food and Agriculture Organization of the United Nations
Download or read book Remote sensing for space-time mapping of smog in Punjab and identification of the underlying causes using geographic information system (R-SMOG) written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2020-03-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food and Agriculture Organization of the United Nations, Pakistan initiated the Technical Cooperation Programme on Remote Sensing for Spatio-Temporal mapping of Smog (R-SMOG) upon the request of the Government of Punjab. The R-SMOG evaluates the relationship between Smog and the rice residue burning practices by farmers in the Rice belt of Punjab. It is a comprehensive geospatial research which integrates Spatio-temporal mapping of smog viz-a-viz climatological modelling, study of seasonal trends and dynamics and estimates an inventory of sectoral emissions. The findings of the R-SMOG will assist to generate scientific evidences to study the causes of Smog in Punjab and to adopt adequate mitigation and adaptation strategies.
Book Synopsis Precipitation: Advances in Measurement, Estimation and Prediction by : Silas C. Michaelides
Download or read book Precipitation: Advances in Measurement, Estimation and Prediction written by Silas C. Michaelides and published by Springer Science & Business Media. This book was released on 2008-02-27 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the outcome of contributions from 51 scientists who were invited to expose their latest findings on precipitation research and in particular, on the measurement, estimation and prediction of precipitation. The reader is presented with a blend of theoretical, mathematical and technical treatise of precipitation science but also with authentic applications, ranging from local field experiments and country-scale campaigns to multinational space endeavors.
Book Synopsis Aerosol Remote Sensing by : Jacqueline Lenoble
Download or read book Aerosol Remote Sensing written by Jacqueline Lenoble and published by Springer Science & Business Media. This book was released on 2013-02-11 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a much needed explanation of the basic physical principles of radiative transfer and remote sensing, and presents all the instruments and retrieval algorithms in a homogenous manner. The editors provide, for the first time, an easy path from theory to practical algorithms in one easily accessible volume, making the connection between theoretical radiative transfer and individual practical solutions to retrieve aerosol information from remote sensing, and providing the specifics and intercomparison of all current and historical retrieval methods.
Download or read book Humanity Driven AI written by Fang Chen and published by Springer Nature. This book was released on 2021-12-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is changing the world around us, and it is changing the way people are living, working, and entertaining. As a result, demands for understanding how AI functions to achieve and enhance human goals from basic needs to high level well-being (whilst maintaining human health) are increasing. This edited book systematically investigates how AI facilitates enhancing human needs in the digital age, and reports on the state-of-the-art advances in theories, techniques, and applications of humanity driven AI. Consisting of five parts, it covers the fundamentals of AI and humanity, AI for productivity, AI for well-being, AI for sustainability, and human-AI partnership. Humanity Driven AI creates an important opportunity to not only promote AI techniques from a humanity perspective, but also to invent novel AI applications to benefit humanity. It aims to serve as the dedicated source for the theories, methodologies, and applications on humanity driven AI, establishing state-of-the-art research, and providing a ground-breaking book for graduate students, research professionals, and AI practitioners.
Book Synopsis The Economic Consequences of Outdoor Air Pollution by : OECD
Download or read book The Economic Consequences of Outdoor Air Pollution written by OECD and published by OECD Publishing. This book was released on 2016-06-09 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report provides a comprehensive assessment of the economic consequences of outdoor air pollution in the coming decades, focusing on the impacts on mortality, morbidity, and changes in crop yields as caused by high concentrations of pollutants.
Book Synopsis Understanding Missing Date in Real-time Pollution Monitoring System in China by : Congyan Han
Download or read book Understanding Missing Date in Real-time Pollution Monitoring System in China written by Congyan Han and published by . This book was released on 2019 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using both remote sensing data on air pollution and publicly reported hourly PM2.5 data from ground-level monitoring stations, this paper examines whether the quality of the publicly reported PM2.5 is affected by selective reporting whereby high-level hourly pollution readings are dropped in the reported data. Our analysis shows that the contemporaneous level of air pollution measured by the Aerosol Optical Depth (AOD) has a negative relationship with the frequency of data missing. This relation- ship is weaker in dirty cities measured by the average AOD during the sample period and is reversed in very dirty cities.
