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  1. 3081

    Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition by Yangfan Zhang, Xuejiao Fu, Yaohan Wang, Zhengyu Wang, Xiaoxiao Wang

    Published 2025-01-01
    “…This paper proposes a short-term wind and photovoltaic power forecasting framework considering time-frequency decomposition based on bidirectional long short-term memory networks. First, the seasonal and trend decomposition using loess is applied to the original wind and photovoltaic data for time domain decomposition, obtaining trend, seasonal, and residual components. …”
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    Article
  2. 3082

    Influence of Water Regulation on Runoff in Dongjiang River Basin by ZHUANG Shengjie, CHENG Zhongli, ZHENG Yafeng, WANG Dagang

    Published 2024-11-01
    “…The results indicate that since the establishment of the three major reservoirs, there has been no significant alteration in rainfall-runoff patterns during both flood seasons and dry seasons in the Dongjiang River Basin. …”
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    Article
  3. 3083

    Determination of Particulate Matter Dispersion in Eastern Black Sea Region Using Geographical Information Systems by Kazım Onur Demirarslan, Halil Akıncı

    Published 2016-02-01
    “…According to the study results, it was determined that, in specified date range, the concentrations of PM10 were high; in all seasons for Trabzon and Gümüşhane, in the summer, autumn and winter seasons for Bayburt and especially in the autumn for Ordu.…”
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  4. 3084

    Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III by Kaiwen Zheng, Jian Sun, Changlong Guan, Weizeng Shao

    Published 2016-01-01
    “…We found that the highest seasonal mean energy of swell and wind sea are distributed in the respective winter hemispheres. …”
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    Article
  5. 3085

    Driving factors affecting zooplankton functional groups in a shallow eutrophic lake by Sorguç Bura Uğur, Demirkalp Fatma Yıldız, Saygı Yasemin

    Published 2024-12-01
    “…Our objective was to determine the seasonal changes of zooplankton in Lake Yeniçağa using zooplankton functional groups. …”
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    Article
  6. 3086

    Design and Implementation of the Natural Light Reproduction System Based on Context Awareness in WSN by Yun-Joo Kim, Sook-Youn Kwon, Jae-Hyun Lim

    Published 2015-09-01
    “…Changes in natural light in the daily cycle and monthly cycle and its seasonal changes create rhythms in bodies of living creatures including humans. …”
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    Article
  7. 3087

    Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia by Ahunim Abebe Ashetehe, Belachew Bantyirga Gessesse, Fekadu Shewarega

    Published 2022-01-01
    “…In this paper, generic models were developed that determine the seasonal and annual optimal tilt angle of the Photovoltaic module at any location in Ethiopia without using meteorological data. …”
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    Article
  8. 3088

    Planktonic Rotifers in a Subtropical Shallow Lake: Succession, Relationship to Environmental Factors, and Use as Bioindicators by Gaohua Ji, Xianyun Wang, Liqing Wang

    Published 2013-01-01
    “…Polyarthra dolichoptera and Trichocerca pusilla dominated the rotifer community in most seasons. TN, TP, and CODMn went down at the beginning of the monitoring period, rebounded in the second winter, and then decreased and reached a stable state in 2009. …”
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    Article
  9. 3089

    Editorial by M. Laubscher

    Published 2022-12-01
    “…However, this edition may still be seasonal, but I think it may exceed the most typical expectations. …”
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    Article
  10. 3090

    Atmospheric Deposition: Sampling Procedures, Analytical Methods, and Main Recent Findings from the Scientific Literature by M. Amodio, S. Catino, P. R. Dambruoso, G. de Gennaro, A. Di Gilio, P. Giungato, E. Laiola, A. Marzocca, A. Mazzone, A. Sardaro, M. Tutino

    Published 2014-01-01
    “…A wide variety of different collectors were tested to evaluate site-specificity, seasonality and daily variability of settleable particle concentrations. …”
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    Article
  11. 3091

    Daily Dynamo Electric Fields Derived by Using Equatorial Ionization Anomaly Crests of the Total Electron Content by Ching‐Chung Cheng, Jann‐Yenq Liu, Charles C. H. Lin, Yin‐Chen Cheng

    Published 2022-11-01
    “…Abstract Latitudinal distances between the two equatorial ionization anomaly (EIA) crests in total electron content (TEC) of global ionosphere map (GIM) are used to derive the daily dynamo eastward electric field by comparing the eastward electric field calculated by ROCSAT‐1 vertical ion velocity in four seasons. The electric fields derived by the EIA crests of GIM TEC, ROCSAT‐1 ion velocity, and the incoherent scatter radar (ISR) observations at Jicamarca are generally in good agreement in longitudes and seasons. …”
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  12. 3092

    Influenza and Bacterial Pathogen Coinfections in the 20th Century by Xuan-Yi Wang, Paul E. Kilgore, Kyung Ah Lim, Song-Mei Wang, Jeongseok Lee, Wei Deng, Mei-Qi Mo, Batmunkh Nyambat, Jing-Chen Ma, Michael O. Favorov, John D. Clemens

    Published 2011-01-01
    “…Coinfection with influenza and bacterial pathogens occurred more frequently in pandemic compared with seasonal influenza periods. The most common bacterial coinfections with influenza virus were due to S. pneumoniae, H. influenzae, Staphylococcus spp., and Streptococcus spp. …”
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  13. 3093
  14. 3094

    Effects of Curing Period of Livestock Droppings on the Growth and Yield of Okra (Abelmoschus esculentus L.) Varieties by S. Y. Abdulmaliq, Y. A. Abayomi, M. O. Aduloju, O. Olugbemi

    Published 2016-01-01
    “…A field study was carried out across two cropping seasons (2010 and 2011) to explore the effects of curing periods of cow dung and poultry droppings used in soil amendment on the performance of two okra (Abelmoschus esculentus L.) varieties: NHAe 47-3 and LD 88-1. …”
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    Article
  15. 3095

    Static and Dynamic Model Calibration for Upper Thermosphere Determination by Haibing Ruan, Jiuhou Lei, Jianyong Lu

    Published 2024-12-01
    “…The attendant amplitudes exhibit significant local time and seasonal dependencies, motivating optimized parameterization, that is, static calibration. …”
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    Article
  16. 3096

    Attributing the effects of climate change and forest disturbance on runoff using distributed modeling and indicators of hydrological alteration in Central European montane basins by Jakub Langhammer, Jana Bernsteinová

    Published 2025-02-01
    “…Using the MIKE SHE distributed hydrological model, scenario-based simulations assessed changes in runoff seasonality, evapotranspiration, streamflow, and variability. …”
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    Article
  17. 3097

    Lessons learned from cross-sectoral collaboration to protect migrant farmworkers during COVID-19 in Spain. by Miquel Úbeda, Vanesa Villa-Cordero, Agustín González-Rodríguez, Sergio Andrés-Cabello, Iratxe Perez-Urdiales, María Del Mar Jiménez-Lasserrotte, Mar Pastor-Bravo, Erica Briones-Vozmediano

    Published 2025-01-01
    “…In Spain, the agricultural sector relies heavily on migrant workers, especially during seasonal seasons. However, these workers face significant challenges related to precarious working conditions and structural vulnerability, which have become more acute since the outbreak of the COVID-19 pandemic. …”
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    Article
  18. 3098

    Variability in Dust Observed over China Using A-Train CALIOP Instrument by Hui Xu, Fengjie Zheng, Wenhao Zhang

    Published 2016-01-01
    “…The correlation coefficients of seasonal mean C-DAFOD with the three factors are −0.15, −0.67, and −0.35, respectively. …”
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    Article
  19. 3099

    An Examination of Temporal and Spatial Trends of Growing Degree Days in Turkey by İlhami Doğan, Murat Karabulut

    Published 2022-01-01
    “…According to the survey, seasonal and annual trends in from 1970 to 2018 GDD are positive characters. …”
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  20. 3100

    Recent Decadal Trend in the North Atlantic Wind Energy Resources by Chong Wei Zheng, Chong Yin Li, Xin Li

    Published 2017-01-01
    “…The increasing trend in different areas is dominated by different seasons. (4) There is no leading or lagging correlation between WPD and the North Atlantic Oscillation (NAO). …”
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