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Integrated human exposure to air pollution
| Integrated human exposure to air pollution |
| Autore | Canha Nuno |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
Personal Air Pollution Exposure (PAPE)
air pollution monitoring IoT Air Quality Decision Support System health impact air pollution public concern air quality index Baidu index Shanghai air quality crowd-sensing crowd-sourced sensing environmental analysis pollution particulate matter dust sensor human exposure Arduino wireless networks oxides traffic state space milan area b cross validation policy intervention analysis counter-factual unobservable components PM2.5 population exposure tier-models health burden misclassification BenMap-CE tuberculosis infectious disease time-series Poisson regression kriging road dust PM10 emission factors enrichment index human health risk atmospheric aerosols bioaerosols culturable bacteria long-term trends hazard for human indoor air quality e-cigarettes heat-not-burn tobacco traditional smoking products tobacco smoke passenger cars lung inflammation allergy indoor pollutants biomarkers FeNO eosinophil neutrophil fine particulate matter economic growth urbanization industrialization Granger causality test air pollutants monitoring seasonality chemical characterization source apportionment particulate matters (PM) air purifier experiment real-time monitoring unit transfer unit occupant breathing zone cooking fuel household air pollution preterm births perinatal mortality low birth weight stillbirth Nigeria |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557477903321 |
Canha Nuno
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Novel Approaches in Landslide Monitoring and Data Analysis
| Novel Approaches in Landslide Monitoring and Data Analysis |
| Autore | Blahut Jan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (282 p.) |
| Soggetto topico |
Research & information: general
Earth sciences, geography, environment, planning |
| Soggetto non controllato |
landslide susceptibility assessment
geographically weighted regression spatial non-stationary spatial proximity slope unit multitemporal DEM control factors susceptibility assessment LRM historical landslide events unsaturated soil capillary barrier multi-layer slope slope failure coastal landslides mass rock creep coastal cliffs land surface analysis data analysis Conero promontory slow-moving landslide landslide monitoring time-series analysis San Andrés Landslide El Hierro Canary Islands large-scale landslide model experiment soil–water characteristic curve Bayesian updating Markov chain Monte Carlo artificial neural networks object-based image analysis Sentinel-1 Sentinel-2 digital elevation model InSAR landslide landslide-dammed lake river Iceland rockfill ground-based interferometric synthetic aperture radar construction cross-sectional area of equal displacement body landslide warning method data mining landslide detection landslide inventory Typhoon Morakot Global Positioning System (GPS) disaster prevention monitoring disaster mitigation monitoring landslides photogrammetry global positioning system in-hole wire extensometer DInSAR GBSAR landslide susceptibility ranking cross validation prediction model prediction pattern target pattern uncertainty pattern airborne electromagnetics physical-based modeling tropical volcanic environment La Martinique modelling susceptibility |
| ISBN | 3-0365-3788-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619468903321 |
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Blahut Jan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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