Showing 41 - 60 results of 2,413 for search '"meteorology"', query time: 0.10s Refine Results
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    Research on the Meteorological Prediction Algorithm Based on the CNSS and Particle Swarm Optimization by Li Yang, Meng Zhang, Yunhan Zhang

    Published 2021-01-01
    “…Considering that the global navigation satellite system (GNSS) has the influence of positioning and atmospheric signals from time to time in meteorology, errors caused by moisture, and so on in the effect of the propagation path, these factors have led to the influence of various indexes of meteorological factors. …”
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    Effects of meteorological factors on the retention of particulate matter in lawn grass blades by Junrui Wang, Weihan Kong, Haimei Li, Xiaodan Sun, Yingkun Sun, Yu Liu

    Published 2025-01-01
    “…However, the ability of plant leaves to retain dust is limited and varies continually due to various meteorological factors such as rainfall, extreme wind speed, and PM10 concentrations. …”
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    Modeling Meteorological Effects on Cosmic Ray Muons Utilizing Multivariate Analysis by M. Savić, D. Maletić, A. Dragić, N. Veselinović, D. Joković, R. Banjanac, V. Udovičić, D. Knežević

    Published 2021-08-01
    “…Abstract Correction of meteorological effects on muon component of secondary cosmic rays significantly extends the usability of muon monitors. …”
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    Impacts of meteorology and emission reductions on haze pollution during the lockdown in the North China Plain by L. Liu, L. Liu, X. Long, Y. Li, Y. Li, Z. Zang, Z. Zang, F. Wang, Y. Han, Z. Bao, Y. Chen, T. Feng, J. Yang

    Published 2025-02-01
    “…Our study provides valuable insights into the complex interplay of emissions, meteorology, and pollutant dynamics, suggesting that adequate air quality strategies must integrate emission controls and meteorological considerations to address regional variations effectively.…”
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    Determination of Meteorological and Hydrological Drought Maps with Various Interpolation Methods in the Euphrates Basin by Okan Mert Katipoğlu, Reşat Acar

    Published 2021-07-01
    “…As a result of the analyses, it has been determined that the Kriging method is the most effective method in predicting meteorological droughts in the basin, and RBF is the most effective method in predicting hydrological droughts. …”
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    Estimation of wireless channel fading model in maritime communication for complex meteorological environment by Yasheng DAI, Bolin MA, Guangxue YUE

    Published 2022-03-01
    “…Due to the influence of complex marine environmental factors such as sparse scattering of electromagnetic wave on the ocean surface, wave shadow fading, complex meteorological environment.It is extremely hard to model the fading of wireless channel in maritime communication environment.After analyzing the influence of meteorological environment and multipath channel fading via direct-path, specular-path and diffuse-path on marine wireless communication channel fading, the estimation of wireless channel fading model in maritime communication for complex meteorological environment (EWCFM-CME) was proposed.An improved bee colony algorithm was designed to estimation the parameter of EWCFM-CME.In order to improve the efficiency and accuracy of search algorithm, an iterative function with sin(·) function as operator was designed in search scheme of bee colonies.The leading bee received the detection bee solution to update itself with probability P.It prevents the solution algorithm from falling into local optimization.The simulation results show that, compared with fluctuate two-ray (FTR) fading model and round earth loss (REL) model, the mean absolute error (MAE) of EWCFM-CME increased by 13.58% and 11.43% By comparing EWCFM-CME with cuckoo search, genetic algorithm and simulated annealing algorithm, the search time is reduced by 60.48%, 45.18% and 43.23%, respectively.…”
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    Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

    Published 2025-01-01
    “…Therefore, this study aimed to fill this gap by investigating the spatio-temporal pattern and identifying the best tree-based ML models for determining the meteorological factors associated with waterborne diseases in Bangladesh.…”
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