Showing 81 - 100 results of 1,891 for search '"meteorology"', query time: 0.07s Refine Results
  1. 81

    Meteorological conditions for growing promising grape cultivars in the Black Sea agroecological zone of viticulture by V. S. Petrov, A. A. Marmorshtein, M. I. Pankin, D. M. Tsiku, M. D. Larkina

    Published 2024-05-01
    “…The pattern and duration of the grape plant growing season depends both on biological characteristics of plants and the environmental conditions of their habitat. Studying meteorological conditions and their effect on the growing phases of grape cultivars of different origin is important to optimize the deployment of these cultivars.Materials and methods. …”
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    Article
  2. 82

    Probable Relationship between COVID-19, Pollutants and Meteorology: A Case Study at Santiago, Chile by Giovanni A. Salini, Patricio R. Pacheco, Eduardo Mera, María C. Parodi

    Published 2021-01-01
    “…From the epidemic perspective, the infected patients number was linked to the hourly time-series of meteorological and pollutant variables, generating new time-series. …”
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  3. 83

    Assessment of Impact of Meteorology and Precursor in Long-term Trends of PM and Ozone in a Tropical City by Christian Mark G. Salvador, Angeles D. Alindajao, Karen B. Burdeos, Mark Anthony M. Lavapiez, Jhon Robin Yee, Angel T. Bautista, Preciosa Corazon B. Pabroa, Rey Y. Capangpangan

    Published 2021-12-01
    “…Here, we report the assessment of the temporal evolution of the air quality in a tropical urban city (Butuan) in the southern Philippines by evaluating the trends of meteorological conditions (i.e., temperature, R.H., boundary layer height), air pollutants (i.e., PM2.5, NO2, O3) and their precursors (Benzene, Toluene, and Xylene) from 2014 to 2020. …”
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  4. 84

    Evaluation of the WRF-CMAQ Model Performances on Air Quality in China with the Impacts of the Observation Nudging on Meteorology by Jiali Li, Shaocai Yu, Xue Chen, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Weiping Liu, Pengfei Li, Min Xie, Jia Xing

    Published 2022-03-01
    “…Abstract Accurate meteorological fields are imperative for correct air quality modeling through their influence on the various chemical species in the atmosphere. …”
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    Atmosphere, weather, and climate / by Barry, Roger G. (Roger Graham), 1935-

    Published 1987
    Subjects: “…Meteorology. 6627…”
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    Book
  8. 88

    Atmosphere, weather, and climate / by Barry, Roger G. (Roger Graham), 1935-

    Published 1987
    Subjects: “…Meteorology. 6627…”
    View in OPAC
    Book
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    EVALUATION OF METEOROLOGICAL FACTORS INFLUENCE ON BENZENE ACCIDENTAL POLLUTION. CASE STUDY: BACAU CITY 2008 by DOINA CAPSA, VALENTIN NEDEFF, NARCIS BARSAN, EMILIAN MOSNEGUTU, DANA CHITIMUS

    Published 2017-03-01
    “…The correlation were performed by taken in to considerations the accidental benzene pollution recorded in 2008 in Bacau City and meteorological factor recorded at the regional meteorological station. …”
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    Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

    Published 2015-06-01
    “…In this study, in order to modeling and forecasting drought severity in a 37 year time period (1971-2007) in 21 meteorological stations, located in the cold semi-arid region of north-west Iran, artificial neural networks was used. …”
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  15. 95

    Impacts of COVID-19 on Air Quality over China: Links with Meteorological Factors and Energy Consumption by Pradeep Khatri, Tadahiro Hayasaka

    Published 2021-07-01
    “…Overall, these results provide useful information for policy makers and the scientific community by clarifying the contributions of meteorological factors and energy consumption to changes in air quality. …”
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    Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

    Published 2017-01-01
    “…The study demonstrates that the use of statistical models based on machine learning is relevant to predict PM2.5 concentrations from meteorological data.…”
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