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  1. Article ; Online: Relationship between meteorological variables and pneumonia in children in the Metropolitan Region of Porto Alegre, Brazil.

    Nick, Leticia Moreira / Nedel, Anderson Spohr / Alonso, Marcelo Felix / Marques, Julio Quevedo / de Freitas, Rose Ane Pereira

    International journal of biometeorology

    2022  Volume 66, Issue 11, Page(s) 2301–2308

    Abstract: This work aims to analyze the relationship between meteorological conditions and the occurrence of hospital admissions for pneumonia in children under 5 years of age in the Metropolitan Region of Porto Alegre, Brazil, from 1998 to 2017. To this end, data ...

    Abstract This work aims to analyze the relationship between meteorological conditions and the occurrence of hospital admissions for pneumonia in children under 5 years of age in the Metropolitan Region of Porto Alegre, Brazil, from 1998 to 2017. To this end, data from hospital admissions obtained from the Unified Health System database (DATASUS) were used and classified into two groups: acute respiratory infections (ARI) and asthma, according to the international classification of diseases, tenth edition (ICD-10). Data regarding meteorological variables were also used: temperature, relative humidity, atmospheric pressure and wind speed, at 12Z and 18Z, as well as the Thermal Comfort Index (TCI), Effective Temperature as a function of the wind (ETw) and Windchill (W). From the data obtained, a descriptive analysis of the diseases and a statistical analysis with the analysis of correlation and main components were performed. Results showed that pneumonia (catalogued in the ICD-10 as J12 to J18) was the main cause of hospitalizations in children. The annual, monthly and daily hospitalization frequency distributions showed higher rates of admissions occurring in the months of May to September. The peaks of admissions and high admissions (HA) occurred mainly in the winter months (June, July and August), and in 1998. Meanwhile, the correlation and principal component analysis showed an increase in hospital admissions due to pneumonia related to a decrease in temperature and ETw and W indices (negative anomalies) and an increase in atmospheric pressure and relative humidity (positive anomalies).
    MeSH term(s) Child ; Humans ; Child, Preschool ; Brazil/epidemiology ; Pneumonia/epidemiology ; Seasons ; Hospitalization ; Asthma/epidemiology
    Language English
    Publishing date 2022-09-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 280324-0
    ISSN 1432-1254 ; 0020-7128
    ISSN (online) 1432-1254
    ISSN 0020-7128
    DOI 10.1007/s00484-022-02357-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Correction to: Relationship between meteorological variables and pneumonia in children in the Metropolitan Region of Porto Alegre, Brazil.

    Nick, Leticia Moreira / Nedel, Anderson Spohr / Alonso, Marcelo Felix / Marques, Julio Quevedo / de Freitas, Rose Ane Pereira

    International journal of biometeorology

    2022  Volume 66, Issue 11, Page(s) 2309

    Language English
    Publishing date 2022-09-27
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 280324-0
    ISSN 1432-1254 ; 0020-7128
    ISSN (online) 1432-1254
    ISSN 0020-7128
    DOI 10.1007/s00484-022-02373-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Estimated evolution of total pollutant gas emissions associated with vehicle activity in the Metropolitan Region of Porto Alegre until 2030.

    Chovert, Angel D / Alonso, Marcelo F

    Anais da Academia Brasileira de Ciencias

    2017  Volume 89, Issue 3 Suppl, Page(s) 1971–1983

    Abstract: In recent years, the majority of economic sectors in Brazil have gone through processes of development and transformation. These processes have led to increases in environmental pollution of all kinds; air pollution being one of the most adverse. The ... ...

    Abstract In recent years, the majority of economic sectors in Brazil have gone through processes of development and transformation. These processes have led to increases in environmental pollution of all kinds; air pollution being one of the most adverse. The Brazilian transportation sector, which heavily affects the air quality, experienced a significant increase in its vehicle fleet thus provoking larger emissions of pollutant gases, mainly in regions with high population density such as the Metropolitan Region of Porto Alegre (MRPA). Within this research, considering mainly the ozone precursor species and Carbon Monoxide and using the year 2001 as a base year, scenarios are obtained for vehicular emissions of pollutant gases in the MRPA until the year 2030. In addition, scenarios related to the evolution of the study region's vehicle fleet were estimated. The statistical tool LEAP (Long Range Energy Alternatives Planning System) was used. The scenario analysis shows that the vehicle fleet will grow exponentially until 2030, considering that the Light Flex vehicles category will mainly contribute to this increase. It is also noted that vehicle emissions of CO, NOx, and THC decrease in the region. The decrease is caused mainly by the renewal of technology in new vehicles and the implementation of emission control programs created by the government.
    Language English
    Publishing date 2017
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 2046885-4
    ISSN 1678-2690 ; 0001-3765
    ISSN (online) 1678-2690
    ISSN 0001-3765
    DOI 10.1590/0001-3765201720160117
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Relationship between meteorological variables and pneumonia in children in the Metropolitan Region of Porto Alegre, Brazil [Correction: Nov. 2022, 66(11), p. 2309]

    Nick, Leticia Moreira / Nedel, Anderson Spohr / Alonso, Marcelo Felix / Marques, Julio Quevedo / de Freitas, Rose Ane Pereira

    Int J Biometeorol. 2022 Nov., v. 66, no. 11, p. 2301-2308

    2022  , Page(s) 2301–2308

    Abstract: This work aims to analyze the relationship between meteorological conditions and the occurrence of hospital admissions for pneumonia in children under 5 years of age in the Metropolitan Region of Porto Alegre, Brazil, from 1998 to 2017. To this end, data ...

    Abstract This work aims to analyze the relationship between meteorological conditions and the occurrence of hospital admissions for pneumonia in children under 5 years of age in the Metropolitan Region of Porto Alegre, Brazil, from 1998 to 2017. To this end, data from hospital admissions obtained from the Unified Health System database (DATASUS) were used and classified into two groups: acute respiratory infections (ARI) and asthma, according to the international classification of diseases, tenth edition (ICD-10). Data regarding meteorological variables were also used: temperature, relative humidity, atmospheric pressure and wind speed, at 12Z and 18Z, as well as the Thermal Comfort Index (TCI), Effective Temperature as a function of the wind (ETw) and Windchill (W). From the data obtained, a descriptive analysis of the diseases and a statistical analysis with the analysis of correlation and main components were performed. Results showed that pneumonia (catalogued in the ICD-10 as J12 to J18) was the main cause of hospitalizations in children. The annual, monthly and daily hospitalization frequency distributions showed higher rates of admissions occurring in the months of May to September. The peaks of admissions and high admissions (HA) occurred mainly in the winter months (June, July and August), and in 1998. Meanwhile, the correlation and principal component analysis showed an increase in hospital admissions due to pneumonia related to a decrease in temperature and ETw and W indices (negative anomalies) and an increase in atmospheric pressure and relative humidity (positive anomalies).
    Keywords asthma ; atmospheric pressure ; databases ; hospitals ; pneumonia ; principal component analysis ; relative humidity ; temperature ; wind speed ; Brazil
    Language English
    Dates of publication 2022-11
    Size p. 2301-2308
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 127361-9
    ISSN 0067-8902 ; 0020-7128
    ISSN 0067-8902 ; 0020-7128
    DOI 10.1007/s00484-022-02357-4
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Analysis of thermal discomfort associated with synoptic conditions in the city of Pelotas, southernmost region of Brazil.

    da Costa Trassante, Franciele / de Freitas, Rose Ane Pereira / Nedel, Anderson Spohr / Machado Machado, Raquel / de Medeiros, Marco Antônio Flores / da Silva Lindemann, Douglas / da Silva Nascimento, Ana Lucia / Casagrande, Fernanda / de Mendonça, Luis Felipe Ferreira / Alonso, Marcelo Felix

    International journal of biometeorology

    2024  Volume 68, Issue 3, Page(s) 463–477

    Abstract: Here, we evaluated the influence of outdoor environmental conditions (synoptic weather conditions) on human thermal discomfort in the five macro-regions of Pelotas city, located in the southernmost region of Brazil. To do this, meteorological sensors ( ... ...

    Abstract Here, we evaluated the influence of outdoor environmental conditions (synoptic weather conditions) on human thermal discomfort in the five macro-regions of Pelotas city, located in the southernmost region of Brazil. To do this, meteorological sensors (HOBO MX2301A) were installed outside the residences to measure the air temperature, dew point temperature, and relative humidity between 18 January and 20 August 2019. Two well-established simplified biometeorological indices were examined seasonally: (i) humidex for the summer months and (ii) effective temperature as a function of wind for the autumn and winter months. Our findings showed seasonal differences related to human thermal discomfort and outdoor environmental conditions. The thermal discomfort was highest in the afternoons during the summer months and at night during the winter months. The seasonal variation in human thermal discomfort was highly associated with the meteorological conditions. In summer, the presence of the South Atlantic Subtropical Anticyclone (SASA) contributed to heat stress. The SASA combined with the continent's low humidity contributed to the perceived sensation of thermal discomfort. In the winter, thermal discomfort was associated with the decrease in air humidity caused by high atmospheric pressure systems, which led to a decrease in both air temperature and air moisture content. Our findings suggest that a better understanding of the complex interplay between outdoor environmental factors and human thermal comfort is needed in order to mitigate the negative effects of thermal discomfort.
    MeSH term(s) Humans ; Brazil/epidemiology ; Thermosensing ; Weather ; Humidity ; Temperature ; Seasons
    Language English
    Publishing date 2024-01-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 280324-0
    ISSN 1432-1254 ; 0020-7128
    ISSN (online) 1432-1254
    ISSN 0020-7128
    DOI 10.1007/s00484-023-02604-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter

    Andreão, Willian Lemker / Alonso, Marcelo Felix / Kumar, Prashant / Pinto, Janaina Antonino / Pedruzzi, Rizzieri / de Almeida Albuquerque, Taciana Toledo

    Environmental science and pollution research international. 2020 Oct., v. 27, no. 29

    2020  

    Abstract: Emission inventories are one of the most critical inputs for the successful modeling of air quality. The performance of the modeling results is directly affected by the quality of atmospheric emission inventories. Consequently, the development of ... ...

    Abstract Emission inventories are one of the most critical inputs for the successful modeling of air quality. The performance of the modeling results is directly affected by the quality of atmospheric emission inventories. Consequently, the development of representative inventories is always required. Due to the lack of regional inventories in Brazil, this study aimed to investigate the use of the particulate matter (PM) emission estimation from the Brazilian top-down vehicle emission inventory (VEI) of 2012 for air quality modeling. Here, we focus on road vehicles since they are usually responsible for significant emissions of PM in urban areas. The total Brazilian emission of PM (63,000 t year⁻¹) from vehicular sources was distributed into the urban areas of 5557 municipalities, with 1-km² grid spacing, considering two approaches: (i) population and (ii) fleet of each city. A comparison with some local inventories is discussed. The inventory was compiled in the PREP-CHEM-SRC processor tool. One-month modeling (August 2015) was performed with WRF-Chem for the four metropolitan areas of Brazilian Southeast: Belo Horizonte (MABH), Great Vitória (MAGV), Rio de Janeiro (MARJ), and São Paulo (MASP). In addition, modeling with the Emission Database for Global Atmospheric Research (EDGAR) inventory was carried out to compare the results. Overall, EDGAR inventory obtained higher PM emissions than the VEI segregated by population and fleet, which is expected owing to considerations of additional sources of emission (e.g., industrial and residential). This higher emission of EDGAR resulted in higher PM₁₀ and PM₂.₅ concentrations, overestimating the observations in MASP, while the proposed inventory well represented the ambient concentrations, obtaining better statistics indices. For the other three metropolitan areas, both EDGAR and the VEI inventories obtained consistent results. Therefore, the present work endorses the fact that vehicles are responsible for the more substantial contribution to PM emissions in the studied urban areas. Furthermore, the use of VEI can be representative for modeling air quality in the future.
    Keywords air quality ; databases ; inventories ; particulate emissions ; particulates ; pollution ; research ; statistics ; Brazil
    Language English
    Dates of publication 2020-10
    Size p. 35952-35970.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-020-08476-y
    Database NAL-Catalogue (AGRICOLA)

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  7. Book: Die Legenden des Vale-Tudo

    Alonso, Marcelo

    die Geschichte und die Protagonisten des regellosen Kampfes

    2008  

    Author's details Marcelo Alonso und die Reporter von Kampfkunst International
    Keywords Gemischte Kampfkunst ; Geschichte ; Interview ; Kampfsportler
    Size 255 Seiten: zahlreiche Illustrationen
    Publisher Budo International Publ.; [Madrid]
    Document type Book
    HBZ-ID HT015617400
    ISBN 978-3-86836-047-9 ; 3-86836-047-6
    Database Central Library of Sport Science of the German Sport University Cologne

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  8. Book: Die Familie Gracie

    Alonso, Marcelo

    die Revolution im Jiu-Jitsu

    2008  

    Author's details [Marcelo Alonso ...]
    Keywords Familie ; Gracie ; Interview ; Jiu-Jitsu
    Size 287 Seiten: zahlreiche Illustrationen
    Publisher Budo International Publ.; Madrid
    Document type Book
    HBZ-ID HT015520302
    ISBN 978-84-936306-1-4 ; 84-93630-61-6 ; 84-936306-1-6 ; 978-84-93630-61-4
    Database Central Library of Sport Science of the German Sport University Cologne

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  9. Article: Update of land use/land cover and soil texture for Brazil: Impact on WRF modeling results over São Paulo

    Pedruzzi, Rizzieri / Andreão, Willian Lemker / Baek, Bok Haeng / Hudke, Anderson Paulo / Glotfelty, Timothy William / Dias de Freitas, Edmilson / Martins, Jorge Alberto / Bowden, Jared H. / Pinto, Janaina Antonino / Alonso, Marcelo Felix / Toledo de Almeida Abuquerque, Taciana

    Atmospheric environment. 2022 Jan. 01, v. 268

    2022  

    Abstract: Land Use/Land Cover (LULC) and soil texture play a key role in meteorological models because they determine the vegetation and soil proprieties that interfere in the exchange of energy, moisture, and momentum between the land surface and the atmosphere. ... ...

    Abstract Land Use/Land Cover (LULC) and soil texture play a key role in meteorological models because they determine the vegetation and soil proprieties that interfere in the exchange of energy, moisture, and momentum between the land surface and the atmosphere. Additionally, LULC and soil texture are relevant input datasets in meteorological models affecting their results and future applicability as in weather researches and air quality modeling. Brazil has a complex and heterogeneous LU, and it has faced significant LULC changes in the past years. Therefore, this paper aims to update the LULC, using the national product MapBiomas, and soil texture data, by SoilGrids, to replace the default input data in the Weather Research and Forecast (WRF) model for São Paulo, Brazil. Aiming to evaluate the impact of those input data on WRF simulations, five cases were simulated using WRF v4.1.3 with 1 km of grid resolution, and combinations of “Default” and “Updated” input data. Sixty-days simulations from March 15th to May 15th of 2015, covering the transition of wet to dry season, were performed and evaluated with observational data over São Paulo State. The results showed significant differences in the classifications of LULC and soil texture in the entire domain between the default and updated data. The updated data is more realistic and coherent with local characteristics, being more representative, as an example over Santos city area being correctly classified as urban and built-in updated LULC and not water, as in the default. The comparison between the modeled results with observations data has shown a similar behavior for temperature and humidity for the five cases at the monitoring stations grid cells because the LULC changes were between classes with similar land parameters, such as albedo, roughness length, and soils moisture, although the Default classes are not accurate. However, the latent and sensible heat fluxes were ways more sensitive to the LULC/soil texture changes in the WRF model. Additionally, reasonable differences were observed over the entire modeling domain for these two variables. The updated land surface data provoked low temperatures at 9h and 17h UTC, less humidity at 9h UTC, and more humidity at 17h UTC, especially in the north part of the modeling domain, the area which has faced more LULC and soil changes. The PBL height was also affected by the updated data, probably caused by the impact at heat flux over the domain, causing a variation from 30% to 70% over the modeled grid cell, which may have a higher impact on air quality modeling. Thus, it is recommended to update the land surface data for Brazil to avoid misclassification of LULC and soil texture, even if the comparison at monitoring stations has shown similar behavior between the default and updated land surface data. Additionally, updates in the land parameter inside the model are required to represent each LULC/soil class better.
    Keywords air quality ; data collection ; dry season ; energy ; environment ; heat transfer ; humidity ; land cover ; land use ; momentum ; observational studies ; roughness length ; soil texture ; temperature ; vegetation ; weather research and forecasting model ; Brazil
    Language English
    Dates of publication 2022-0101
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 216368-8
    ISSN 0004-6981 ; 1352-2310
    ISSN 0004-6981 ; 1352-2310
    DOI 10.1016/j.atmosenv.2021.118760
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter.

    Andreão, Willian Lemker / Alonso, Marcelo Felix / Kumar, Prashant / Pinto, Janaina Antonino / Pedruzzi, Rizzieri / de Almeida Albuquerque, Taciana Toledo

    Environmental science and pollution research international

    2020  Volume 27, Issue 29, Page(s) 35952–35970

    Abstract: Emission inventories are one of the most critical inputs for the successful modeling of air quality. The performance of the modeling results is directly affected by the quality of atmospheric emission inventories. Consequently, the development of ... ...

    Abstract Emission inventories are one of the most critical inputs for the successful modeling of air quality. The performance of the modeling results is directly affected by the quality of atmospheric emission inventories. Consequently, the development of representative inventories is always required. Due to the lack of regional inventories in Brazil, this study aimed to investigate the use of the particulate matter (PM) emission estimation from the Brazilian top-down vehicle emission inventory (VEI) of 2012 for air quality modeling. Here, we focus on road vehicles since they are usually responsible for significant emissions of PM in urban areas. The total Brazilian emission of PM (63,000 t year
    MeSH term(s) Air Pollutants/analysis ; Air Pollution/analysis ; Brazil ; Cities ; Environmental Monitoring ; Particulate Matter/analysis ; Vehicle Emissions/analysis
    Chemical Substances Air Pollutants ; Particulate Matter ; Vehicle Emissions
    Language English
    Publishing date 2020-03-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-020-08476-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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