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Although air pollution is usually linked with human activities, natural processes may also lead to major concentrations of hazardous substances in the low atmosphere. Pollutant levels may be reduced when emissions can be controlled. However, the impact of meteorological variables on the concentrations measured may be noticeable, and these variables cannot be controlled. This book is devoted to the influence of meteorological processes on the pollutant concentrations recorded in the low atmosphere. Measurements, cycles, statistical procedures, as well as specific variables such as the synoptic pattern, temperature inversion, or the calculation of back-trajectories, are considered in the studies included in this book to highlight the relationship between air pollution and meteorological variables. In addition, the state of the art of this subject following meteorological scales, from micro to macro-scale, is presented. Consequently, this book focuses on applied science and seeks to further current knowledge of what contribution meteorological processes make to the concentrations measured in order to achieve greater control over air pollution.

Research & information: general --- air pollution --- synoptic situation pattern --- meteorological variables --- threshold values --- air quality forecast --- modelling --- pollution episodes --- national holiday --- COVID-19 --- particulate matter --- natural ventilation --- indoor air quality --- regional variation --- nitrogen dioxide --- in situ urban concentrations --- meteorological measurements --- NO2 variation --- partial correlation --- gross alpha activity --- northern Iberian Peninsula --- radon --- airflow patterns --- surface winds --- atmospheric boundary layer --- weather types --- Gaussian plume model --- low-level jet --- recirculation --- microscale --- macroscale --- mesoscale --- source apportionment --- cluster analysis --- health risks --- residential wood burning --- sustainable urban development --- urban haze --- temperature inversion --- Obukhov length --- HYSPLIT --- biomass burning --- cold surge, emission --- BaP --- HPLC --- carcinogenic --- diagnostic ratio

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Although air pollution is usually linked with human activities, natural processes may also lead to major concentrations of hazardous substances in the low atmosphere. Pollutant levels may be reduced when emissions can be controlled. However, the impact of meteorological variables on the concentrations measured may be noticeable, and these variables cannot be controlled. This book is devoted to the influence of meteorological processes on the pollutant concentrations recorded in the low atmosphere. Measurements, cycles, statistical procedures, as well as specific variables such as the synoptic pattern, temperature inversion, or the calculation of back-trajectories, are considered in the studies included in this book to highlight the relationship between air pollution and meteorological variables. In addition, the state of the art of this subject following meteorological scales, from micro to macro-scale, is presented. Consequently, this book focuses on applied science and seeks to further current knowledge of what contribution meteorological processes make to the concentrations measured in order to achieve greater control over air pollution.

air pollution --- synoptic situation pattern --- meteorological variables --- threshold values --- air quality forecast --- modelling --- pollution episodes --- national holiday --- COVID-19 --- particulate matter --- natural ventilation --- indoor air quality --- regional variation --- nitrogen dioxide --- in situ urban concentrations --- meteorological measurements --- NO2 variation --- partial correlation --- gross alpha activity --- northern Iberian Peninsula --- radon --- airflow patterns --- surface winds --- atmospheric boundary layer --- weather types --- Gaussian plume model --- low-level jet --- recirculation --- microscale --- macroscale --- mesoscale --- source apportionment --- cluster analysis --- health risks --- residential wood burning --- sustainable urban development --- urban haze --- temperature inversion --- Obukhov length --- HYSPLIT --- biomass burning --- cold surge, emission --- BaP --- HPLC --- carcinogenic --- diagnostic ratio

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Although air pollution is usually linked with human activities, natural processes may also lead to major concentrations of hazardous substances in the low atmosphere. Pollutant levels may be reduced when emissions can be controlled. However, the impact of meteorological variables on the concentrations measured may be noticeable, and these variables cannot be controlled. This book is devoted to the influence of meteorological processes on the pollutant concentrations recorded in the low atmosphere. Measurements, cycles, statistical procedures, as well as specific variables such as the synoptic pattern, temperature inversion, or the calculation of back-trajectories, are considered in the studies included in this book to highlight the relationship between air pollution and meteorological variables. In addition, the state of the art of this subject following meteorological scales, from micro to macro-scale, is presented. Consequently, this book focuses on applied science and seeks to further current knowledge of what contribution meteorological processes make to the concentrations measured in order to achieve greater control over air pollution.

Research & information: general --- air pollution --- synoptic situation pattern --- meteorological variables --- threshold values --- air quality forecast --- modelling --- pollution episodes --- national holiday --- COVID-19 --- particulate matter --- natural ventilation --- indoor air quality --- regional variation --- nitrogen dioxide --- in situ urban concentrations --- meteorological measurements --- NO2 variation --- partial correlation --- gross alpha activity --- northern Iberian Peninsula --- radon --- airflow patterns --- surface winds --- atmospheric boundary layer --- weather types --- Gaussian plume model --- low-level jet --- recirculation --- microscale --- macroscale --- mesoscale --- source apportionment --- cluster analysis --- health risks --- residential wood burning --- sustainable urban development --- urban haze --- temperature inversion --- Obukhov length --- HYSPLIT --- biomass burning --- cold surge, emission --- BaP --- HPLC --- carcinogenic --- diagnostic ratio --- air pollution --- synoptic situation pattern --- meteorological variables --- threshold values --- air quality forecast --- modelling --- pollution episodes --- national holiday --- COVID-19 --- particulate matter --- natural ventilation --- indoor air quality --- regional variation --- nitrogen dioxide --- in situ urban concentrations --- meteorological measurements --- NO2 variation --- partial correlation --- gross alpha activity --- northern Iberian Peninsula --- radon --- airflow patterns --- surface winds --- atmospheric boundary layer --- weather types --- Gaussian plume model --- low-level jet --- recirculation --- microscale --- macroscale --- mesoscale --- source apportionment --- cluster analysis --- health risks --- residential wood burning --- sustainable urban development --- urban haze --- temperature inversion --- Obukhov length --- HYSPLIT --- biomass burning --- cold surge, emission --- BaP --- HPLC --- carcinogenic --- diagnostic ratio

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Geo-information technology has been playing an ever more important role in environmental monitoring, land resource quantification and mapping, geo-disaster damage and risk assessment, urban planning and smart city development. This book focuses on the fundamental and applied research in these domains, aiming to promote exchanges and communications, share the research outcomes of scientists worldwide and to put these achievements better social use. This Special Issue collects fourteen high-quality research papers and is expected to provide a useful reference and technical support for graduate students, scientists, civil engineers and experts of governments to valorize scientific research.

Research & information: general --- street view --- remote sensing --- urban environmental elements --- ensemble learning --- green view --- sky view --- building view --- SHAP --- convolutional neural network --- water body extraction --- GaoFen-1 --- multiple scales --- deep learning --- Line Simplification --- Douglas-Peucker Algorithm --- Monotonic Chain --- Dichotomy --- vegetation --- partial correlation analysis --- trend prediction --- the source region of the Yellow River --- revetment --- damage signature --- dense point clouds --- unmanned aerial vehicle (UAV) --- gradient operator --- OpenStreetMap (OSM) --- road network density --- urban economy --- regression analysis --- spatial metric --- pre-hospital emergency --- spatiotemporal demand --- GPS data --- seasonal clustering --- short-term forecast --- tourism flow forecast --- optimization algorithm --- Random Forest --- landslide hazard risk --- integrated multisource dataset --- field sample rasterization --- weight assignment --- urban forest --- forest biomass --- biomass distribution --- geographic detector --- poverty probability --- random forest --- nighttime lights --- spatiotemporal characteristics --- geographic information systems --- land cover --- land dynamics --- regional studies --- sustainable planning --- ultra-peripheral territories --- fire station --- fire risk evaluation --- parcel-pickup lockers --- site-suitability analysis --- GIS-based --- bivariate logistic regression model --- suitability classification --- n/a

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This book deals with sustainable agriculture at a time of climate change. It seeks to identify a number of solutions to deal with the agricultural stresses caused by climate change. These range from the identification and cultivation of appropriate crop varieties and the adoption of climate adaptive agricultural practices. Significant sustainable agricultural innovation is required to deal with these challenges. Intellectual property rights (IPRs) may be of crucial importance for modern agriculture. They serve to make R&D in agriculture attractive, by encouraging investment in new technologies and generating tradeable assets. A number of the chapters of this book refer to the principal IPRs relevant to agricultural innovation, namely: (i) patents, which protect inventions; (ii) plant variety rights, which protect the breeding of new and distinct plant varieties; and (iii) trademarks and geographical indications, which facilitate the marketing of products by providing protection for the symbols of their manufacturing or geographic origin. The United Nations Climate Change Panel has urged the consideration of the agricultural practices of traditional communities and some of these practices particularly involving rice, banana, and brassica cultivation are explored in the book. This book is essential reading for officials of governments and international organizations concerned with sustainability, as well as scholars and students concerned with these subjects

Research. --- Biology. --- Technology. --- Engineering. --- Agriculture. --- alternative energy source --- Ethiopian mustard --- sustainability --- agricultural green development --- entropy weight method --- spatial heterogeneity --- spatial spillover effect --- China --- rice yields --- climate change --- phenology --- relative contribution --- partial correlation --- seed security --- banana tissue culture planting material --- uptake --- banana farmers --- central Uganda --- traditional rice economics --- institutional --- socio-demographic factors --- multinomial logit model --- constraints --- China-Africa cooperation --- agricultural program --- agricultural training --- technology adoption --- dams --- agriculture --- livelihoods --- health --- schistosomiasis --- restoration --- sustainable development --- climate adaptation --- rice-wheat cropping system --- South Asia --- water requirements --- nitrogen --- direct seeding --- agricultural science, technology and innovation --- Innovation efficiency --- DEA --- G20 --- productivity --- efficiency --- food security --- digital agriculture --- smart farming --- digitalization --- digital technologies --- Middle East and North Africa --- decision making --- instrumental variable --- neighbourhood effects --- rice farmers --- risk attitudes --- spatial dependence --- agricultural innovation --- sustainable agriculture --- plant breeding --- cereals --- intellectual property --- agricultural law --- plant variety rights --- seed marketing --- European Union --- fertilizer --- knowledge --- attitude --- ease of use --- motivation --- work performance --- alternative energy source --- Ethiopian mustard --- sustainability --- agricultural green development --- entropy weight method --- spatial heterogeneity --- spatial spillover effect --- China --- rice yields --- climate change --- phenology --- relative contribution --- partial correlation --- seed security --- banana tissue culture planting material --- uptake --- banana farmers --- central Uganda --- traditional rice economics --- institutional --- socio-demographic factors --- multinomial logit model --- constraints --- China-Africa cooperation --- agricultural program --- agricultural training --- technology adoption --- dams --- agriculture --- livelihoods --- health --- schistosomiasis --- restoration --- sustainable development --- climate adaptation --- rice-wheat cropping system --- South Asia --- water requirements --- nitrogen --- direct seeding --- agricultural science, technology and innovation --- Innovation efficiency --- DEA --- G20 --- productivity --- efficiency --- food security --- digital agriculture --- smart farming --- digitalization --- digital technologies --- Middle East and North Africa --- decision making --- instrumental variable --- neighbourhood effects --- rice farmers --- risk attitudes --- spatial dependence --- agricultural innovation --- sustainable agriculture --- plant breeding --- cereals --- intellectual property --- agricultural law --- plant variety rights --- seed marketing --- European Union --- fertilizer --- knowledge --- attitude --- ease of use --- motivation --- work performance