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  1. 4561
    “…Four capsules were placed in the soil at each site and retrieved at intervals coinciding with management and meteorological events to determine nitrate ion accumulation. …”
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    Soil Nitrate Monitoring for Turfgrass Sod Farms and Other Turf Areas
  2. 4562
    “…We performed multi-regression analyses for each province using meteorological, livestock and socioeconomic datasets. …”
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    Cold-season disasters on the Eurasian steppes: Climate-driven or man-made
  3. 4563
    por Fujita, Takahiro, Nishiura, Hiroshi
    Publicado 2018
    “…Climatological data from 2011 to 2016, including daily mean temperature and absolute humidity, were retrieved from the Japan Meteorological Agency. Employing a hazard-based statistical model to describe the non-homogeneous counting process in which temperature and absolute humidity act as explanatory variables, we computed all possible models with variable lengths of time lag. …”
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    Environmental Drivers of Bacillus-Positive Blood Cultures in a Cancer Hospital, Sapporo, Japan
  4. 4564
    “…In this study, through field experiments in two typical subtropical forest ecosystems in Zhejiang Province, China, the accuracy of the temperature and humidity observed by the wireless sensors was evaluated against standard meteorological data. Furthermore, the observation error sources were analyzed and corresponding correction models were established. …”
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    Evaluation of Microclimatic Detection by a Wireless Sensor Network in Forest Ecosystems
  5. 4565
    “…It is essential to prevent the occurrence of heat stress, predicting it by observing local microclimate conditions and using meteorological forecasts. Thanks to these measures, a breeder may prepare and implement suitable solutions for protecting the animals.…”
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    Environmental parameters to assessing of heat stress in dairy cattle—a review
  6. 4566
    “…We constructed a modelling framework, integrating air travel, epidemiological, demographical, entomological and meteorological data, to measure the seasonal probability of dengue introduction from endemic countries. …”
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    Seasonal and interannual risks of dengue introduction from South-East Asia into China, 2005-2015
  7. 4567
    “…The CSAMs were constructed by combining low-cost particulate matter size fraction 2.5 micron (PM(2.5)) and nitrogen dioxide (NO(2)) sensors and distributed across eight locations with four collocated weather stations to measure local meteorological parameters. During this deployment 1 h average concentrations of PM(2.5) and NO(2) ranged between 0.3 to 33.6 µg/m(3) and 1.3 to 50.6 ppb, respectively. …”
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    Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
  8. 4568
    “…Our findings suggest that airport measurements by the Indian Meteorological Department may not accurately capture heat exposures among individuals who work in and alongside high-density traffic junctions. …”
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    Effects of Occupational Heat Exposure on Traffic Police Workers in Ahmedabad, Gujarat
  9. 4569
    “…In order to assess climate risks, vulnerability and identify adaptation options, the Madagascar Ministry of Public Health as well as the National Meteorological and Hydrological Service worked in close collaboration with a team of local experts to conduct a literature review, field surveys, and analyses of current and future climate and health trends. …”
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    Assessment of Risk, Vulnerability and Adaptation to Climate Change by the Health Sector in Madagascar
  10. 4570
    “…Our methodology is applicable to study areas for which meteorological data are accessible, and is, therefore, useful for decision making if land-use planning schemes specify the objects of airborne pollutant concentration.…”
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    Assessing the Impact of Land-Use Planning on the Atmospheric Environment through Predicting the Spatial Variability of Airborne Pollutants
  11. 4571
    “…The annual mean concentrations were computed by the CALPUFF modeling system (spatial resolution 0.5 × 0.5 km(2)) on the basis of the emission and meteorological data from year 2012. The emission field comprised 24 high (power generation) and 3880 low (industry) point sources, 7285 mobile (transport) sources, and 6962 area (housing) sources. …”
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    Intra-urban variability of the intake fraction from multiple emission sources
  12. 4572
    “…Daily and seasonal differences in PM(1.0) concentrations of different grades of polluted air were statistically analyzed using average daily concentration data for particles smaller than 10, 2.5 and 1.0 microns (PM(10), PM(2.5) and PM(1.0)), and meteorological observations for Urumqi, Tianshan District in 2010.…”
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    Seasonal Characteristics and Particle-size Distributions of Particulate Air Pollutants in Urumqi
  13. 4573
    “…Season also strongly affected post-harvest sugar content, most likely attributable to meteorological differences during growth. Storage temperature and cut size affected expression of transcription factors ERF71, ERF106, and TINY, whose expression generally rose during storage, probably related to increased stress. …”
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    A complex interaction between pre-harvest and post-harvest factors determines fresh-cut melon quality and aroma
  14. 4574
    “…We investigated whether the impact of high temperature (≥24 °C) on all-cause mortality among socioeconomically disadvantaged adults with a current or past indication for a statin is attenuated by current use of a statin with temperature dependence, by using claims data from five US Medicaid programs supplemented with Medicare claims for dual-enrollees and meteorological data from 1999–2010. We identified 3,508,948 persons (3,181,752 person-years) in a 1:1 propensity score-matched cohort. …”
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    Effect of statins on the association between high temperature and all-cause mortality in a socioeconomically disadvantaged population: a cohort study
  15. 4575
    por Ma, Liqun, Xia, Haoming, Meng, Qingmin
    Publicado 2019
    “…We evaluated how vegetation NDVI had responded to daytime and night-time warming, based on NDVI and meteorological parameters (precipitation and temperature) over the period 1982–2015. …”
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    Spatiotemporal Variability of Asymmetric Daytime and Night-Time Warming and Its Effects on Vegetation in the Yellow River Basin from 1982 to 2015
  16. 4576
    por Qiu, Ling, Liu, Fang, Zhang, Xiang, Gao, Tian
    Publicado 2019
    “…With the decrease of the green coverage rate, the purification effect of green area itself on air particles was weakened, and other factors, such as meteorological conditions and human activities, became the dominant influencing factors. …”
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    Difference of Airborne Particulate Matter Concentration in Urban Space with Different Green Coverage Rates in Baoji, China
  17. 4577
    por Cooper, Richard T.
    Publicado 2019
    “…This study contributes plausible future precipitation scenarios for the Bangkok Metropolitan Region (BMR), which builds on the existing evidence base that projects increasing future precipitation. Meteorological data sets from 16 stations located within the BMR and nearby provinces were used for bias correcting five regional climate model scenarios, and future extreme indices were graphed and spatially interpolated to interpret how precipitation extremes may develop to the end of the 21st century. …”
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    Projection of future precipitation extremes across the Bangkok Metropolitan Region
  18. 4578
    “…Information on pollution level and climatological factors were obtained from the Spanish Meteorological Agency and hospitalizations from the Spanish hospital discharge database. …”
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    Analysis of environmental risk factors for chronic obstructive pulmonary disease exacerbation: A case-crossover study (2004-2013)
  19. 4579
    “…We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. …”
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    Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign
  20. 4580
    “…The aforementioned differences were mainly due to the impact of topographical and meteorological factors in Lanzhou, the weather process and the surrounding environment in Shanghai. …”
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    Comparison of air pollution in Shanghai and Lanzhou based on wavelet transform
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