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  1. 3621
    por Lolli, S., Vivone, G.
    Publicado 2020
    “…The residuals, with respect to the modeled COVID-19 per-day hospitalized patients in intensive care unit, are correlated to the meteorological and air-pollutant variables in four major metropolitan areas in Italy during a strict lockdown implemented by the Italian government, making the analysis independent from socio-economic factors. …”
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    The role of tropospheric ozone in flagging COVID-19 pandemic transmission
  2. 3622
    “…We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean [Formula: see text]). …”
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    Validating and Comparing Highly Resolved Commercial “Off the Shelf” PM Monitoring Sensors with Satellite Based Hybrid Models, for Improved Environmental Exposure Assessment
  3. 3623
    “…The experiments were implemented to verify the effectiveness of the proposed method by meteorological data from Beijing. The results show that the proposed predictor can effectively model the multi-sensor system’s big measurement data to improve prediction performance.…”
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    Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy
  4. 3624
    “…Thereby, a wealth of data has accumulated on the relationship between various seasonal meteorological factors and COVID-19 transmissibility at global and local scales. …”
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    Is coronavirus disease (COVID-19) seasonal? A critical analysis of empirical and epidemiological studies at global and local scales
  5. 3625
    por Moody, Heather A., Grady, Sue C.
    Publicado 2021
    “…This research investigates the relationships between airborne and depositional industrial lead emission concentrations modeled using Environmental Protection Agency’s (EPA’s) American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) and childhood blood lead levels (BLL) in the Detroit Metropolitan Area (DMA) 2006–2013. …”
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    Lead Emissions and Population Vulnerability in the Detroit Metropolitan Area, 2006–2013: Impact of Pollution, Housing Age and Neighborhood Racial Isolation and Poverty on Blood Lead in Children
  6. 3626
    por Ghosal, Rahul, Saha, Enakshi
    Publicado 2021
    “…We model the effect of lockdown on the [Formula: see text] concentration in different CBSAs while adjusting for various meteorological factors like temperature, wind-speed, precipitation and snow. …”
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    Impact of the COVID-19 induced lockdown measures on [Formula: see text] concentration in USA
  7. 3627
    “…The impact of depletion in Iran’s groundwater reserves is already manifested by extreme overdrafts in ~ 77% of Iran’s land area, a growing soil salinity across the entire country, and increasing frequency and extent of land subsidence in Iran’s planes. While meteorological/hydrological droughts act as triggers and intensify the rate of depletion in country-wide groundwater storage, basin-scale groundwater depletions in Iran are mainly caused by extensive human water withdrawals. …”
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    Anthropogenic drought dominates groundwater depletion in Iran
  8. 3628
    “…The methodology used implements a large amount of meteorological data to generate information on specific climatic conditions and interactions on crops. …”
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    Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety
  9. 3629
    “…The presented results are primarily based on the field measurement study performed in summer 2020, in three apiaries, in various meteorological conditions. Two exemplars of a prototype gas sensing device were used. …”
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    Beehive Air Sampling and Sensing Device Operation in Apicultural Applications—Methodological and Technical Aspects
  10. 3630
    “…We believe that using Great-tailed grackles as bioindicators in conjunction with air pollutants sampling from meteorological stations in Monterrey City could help in making decisions when applying environmental remediation measures as well as in the selection of places for housing, school and work among others.…”
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    Great-tailed Grackles (Quiscalus mexicanus) as Biomonitors of Atmospheric Heavy Metal Pollution in Urban Areas of Monterrey, Mexico
  11. 3631
    “…Based on the measured data of aeolian transport performed with a piezoelectric saltation sensor (H11-Sensit) and a 10 m high meteorological tower, the sampling efficiency of the automatic sand sampler and the horizontal dust flux of the near surface were analyzed based on observed data. …”
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    Application of a High-Precision Aeolian Sand Collector in Field Wind and Sand Surveys
  12. 3632
    por Geros, Christina Leigh
    Publicado 2021
    “…The inclusion of meteorological and atmospheric material and dynamics within the space of landscape practice, constructively challenges the spatial discipline’s engagement with exploitable resources; and the monsoon provides a tangible site and set of conditions that is in urgent need of this exploration.…”
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    Drinking the Winds: Monsoon as Atmospheric Spring
  13. 3633
    por Jurys, Arnoldas, Feizienė, Dalia
    Publicado 2021
    “…The aim was to determine the impact of bio-products containing Trichoderma reesei, Acinetobacter calcoaceticus or Bacillus megaterium, and their mixtures on changes of soil organic carbon (SOC), soil respiration, and microbial biodiversity in loamy Cambisol. Under dry meteorological conditions, Trichoderma reesei, Acinetobacter calcoaceticus and Bacillus megaterium bio-products resulted an increase in SOC content, C/N ratio, humic to fulvic acid ratio, soil respiration, and microbial biodiversity. …”
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    The Effect of Specific Soil Microorganisms on Soil Quality Parameters and Organic Matter Content for Cereal Production
  14. 3634
    por Tomas, Walfrido Moraes, Berlinck, Christian Niel, Chiaravalloti, Rafael Morais, Faggioni, Gabriel Paganini, Strüssmann, Christine, Libonati, Renata, Abrahão, Carlos Roberto, do Valle Alvarenga, Gabriela, de Faria Bacellar, Ana Elisa, de Queiroz Batista, Flávia Regina, Bornato, Thainan Silva, Camilo, André Restel, Castedo, Judite, Fernando, Adriana Maria Espinóza, de Freitas, Gabriel Oliveira, Garcia, Carolina Martins, Gonçalves, Henrique Santos, de Freitas Guilherme, Mariella Butti, Layme, Viviane Maria Guedes, Lustosa, Ana Paula Gomes, De Oliveira, Ailton Carneiro, da Rosa Oliveira, Maxwell, de Matos Martins Pereira, Alexandre, Rodrigues, Julia Abrantes, Semedo, Thiago Borges Fernandes, de Souza, Rafael Augusto Ducel, Tortato, Fernando Rodrigo, Viana, Diego Francis Passos, Vicente-Silva, Luciana, Morato, Ronaldo
    Publicado 2021
    “…Anthropogenic factors have significantly influenced the frequency, duration, and intensity of meteorological drought in many regions of the globe, and the increased frequency of wildfires is among the most visible consequences of human-induced climate change. …”
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    Distance sampling surveys reveal 17 million vertebrates directly killed by the 2020’s wildfires in the Pantanal, Brazil
  15. 3635
    “…A General Gauss Mixed Model was proposed to fit the forecast error distribution of various photovoltaic output forecast error distribution. The impact of meteorological factors together with numerical characteristics on the forecast error was taken into full consideration in this analysis method. …”
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    Research on Probability Distribution of Short-Term Photovoltaic Output Forecast Error Based on Numerical Characteristic Clustering
  16. 3636
    “…Firstly, after considering the comprehensive effects of geographical and geological conditions, meteorological and hydrological factors, environmental factors and building factors, the database of building resilience evaluation models in a mountainous area is constructed. …”
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    Study on Machine Learning Models for Building Resilience Evaluation in Mountainous Area: A Case Study of Banan District, Chongqing, China
  17. 3637
    “…Hydrological drought forecasts outperform meteorological ones, which is anticipated coming from catchment memory. …”
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    Catchment memory explains hydrological drought forecast performance
  18. 3638
    “…We consider only direct meteorological inputs, while highly uncertain anthropogenic factors such as groundwater extractions are excluded. …”
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    Deep learning shows declining groundwater levels in Germany until 2100 due to climate change
  19. 3639
    “…In this paper, we analyzed the meteorological and hydrological elements of changing characteristics of the Yellow River Basin in the Ningxia section. …”
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    Response of runoff towards land use changes in the Yellow River Basin in Ningxia, China
  20. 3640
    “…Based on the data of 194 meteorological stations in China from 1986 to 2015 and statistical yearbooks and statistical bulletins from 2015, we used GIS technology and mathematical statistics to evaluate high-temperature spatial and temporal characteristics, high-temperature risk, and high-temperature vulnerability of 31 cities across China. …”
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    Comprehensive Risk Assessment of Typical High-Temperature Cities in Various Provinces in China
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