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  9. 929

    Analysis on Characteristics of Spatial-temporal Precipitation Distribution in Qingyuan Based on Cloud Model by WANG Yan

    Published 2021-01-01
    “…Based on the traditional Mann-Kendall method,this paper analyzes the spatial-temporal precipitation distribution by the cloud model according to the monthly precipitation data (1990—2020) from 38 stations in Qingyuan City,Guangdong province.The results show that:①In the last 30 years,the precipitation in Qingyuan showed an upward trend in the whole year,flood season and non-flood season,especially in the whole year and flood season.②The stability of precipitation was best in non-flood season,less in whole year,and the worst in flood season.The distribution of precipitation was the most discrete throughout the year,followed by flood season,and more concentrated in non-flood season.③The precipitation showed similar spatial distribution in whole year and flood season,increased from northwest to southeast in general,among them the precipitation in Lianzhou City is small,concentrated and stable.In non-flood season,the distribution of precipitation increased from southeast to northwest,among them the precipitation in the south of Qingcheng District is the least and unstable but concentrated;while that in the northeast of Yingde City is large and stable but not concentrated.…”
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  10. 930

    Division of Precipitation Stage Based on Optimal Dissection Method:A Case Study in Hefei Station by HUANG Bingjie, ZHOU Yuliang, JIN Juliang, ZHOU Ping, SHEN Jie, NING Shaowei

    Published 2020-01-01
    “…Based on daily precipitation data of Hefei station from 1953 to 2019,this paper divides stages of precipitation in Hefei preliminarily by the optimal dissection method,and identifies the precipitation stages ultimately according to the general atmospheric circulation of precipitation stages.The results show that six stages can be identified in Hefei,including the stage of dry season in winter (November 29 to February 12 next year),the stage of rainy season in early spring (February 13 to April 4),the stage of rainy season in spring and early summer (April 5 to June 19),the stage of plum rainy season (June 20 to July 12),the stage of rainy season in midsummer (July 13 to September 4) and the stage of rainy season in autumn (September 5 to November 28).The plum rainy season and the rainy season in midsummer are the two main rainy seasons,of which the average daily precipitation is 6.9 mm and 4.3 mm respectively,and the corresponding atmospheric circulation is predominant and flourishing periods of summer monsoon respectively;the stage of dry season in winter and the stage of rainy season in autumn are periods with rare precipitation,of which average daily precipitation is 1.1 mm and 2.0 mm respectively,and the corresponding atmospheric circulation is flourishing periods of winter monsoon and transition period of summer to winter monsoon respectively;and the remaining two periods are the stage of rainy season in early spring and the stage of rainy season in spring &early summer,of which the average daily precipitation is 2.3 mm and 3.2 mm respectively,and the corresponding atmospheric circulation is transition period of winter to summer monsoon and initial period of summer monsoon respectively.Precipitation in Hefei is strongly affected by the monsoon,and the atmospheric circulation of each stage is relatively stable.…”
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  11. 931

    Effects of NDVI/Meteorological Elements on Actual Evapotranspiration in Loess Plateau over Last 20 Years by HAN Yuping, XU Dan, HUANG Huiping, JIA Dongdong, PEI Duo, ZHANG Junfeng

    Published 2022-01-01
    “…Given that the Grain for Green Program significantly enhances the vegetation coverage in the Loess Plateau and that global warming keeps worsening,studying the spatio-temporal distribution law of the evapotranspiration (ET) in the Loess Plateau and the combined influences of the normalized difference vegetation index (NDVI) and meteorological elements on the ET can guide the comprehensive management of the water resources in the plateau.Spatial regression analysis,Morlet wavelet analysis,and principal component analysis are performed to examine the spatio-temporal evolution characteristics of the ET in the Loess Plateau during the three periods of the whole year,the growing season,and the non-growing season over 2001—2020 and the combined influences of NDVI and meteorological elements with MOD16A2 ET,MOD13Q1 NDVI,and meteorological data.The results support the following conclusions:① ET increases significantly in all the three periods,with the growth rate for the whole year higher than that for the growing season and much higher than that for the non-growing season.The three periods all have a first main cycle of 14 a.ET decreases from southeast to northwest both in the whole year and the growing season,and the ET in the non-growing season is lower than that in the whole year and that in the growing season.The higher value is in the west and the south,and the spatial distribution of the interannual variation of ET is consistent with that of ET.② NDVI also increases significantly in all the three periods,and the spatial distribution of its value is consistent with that of ET.Precipitation increases remarkably in the whole year and in the growing season,with no marked growth in the non-growing season.No obvious increase trends in temperature and wind speed are observed in the three statistics periods.The spatial distribution laws of precipitation and temperature are largely consistent with that of ET.③ The contribution of each influencing factor to the change in ET varies with the period.Specifically,the first principal factors in the growing season,the non-growing season,and the whole year are respectively wind speed,temperature,and NDVI,NDVI,precipitation,and temperature,and NDVI and precipitation.…”
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  12. 932

    Monitoring and discussion on river carbon and nitrogen fluxes in the Pearl River Estuary region by Dawei Li, Hongji Liang, Zimiao Zhao, Huifeng Huang, Cuiming Li, Chengzhi Wang

    Published 2025-01-01
    “…The results show that the total flow in the dry season (939.22 m3/s) is lower than that in the rainy season (1556.40 m3/s); the highest concentration of total organic carbon is in the dry season (14.70 mg/L) and the lowest is in the rainy season (10.95 mg/L); the total organic carbon emission flux is lower in the dry season (1804.45 g/s) than in the rainy season (3331.04 g/s), and the maximum emission points in both seasons are at the Damenkou Waterway, with values of 2327.60 g/s and 917.87 g/s, respectively; the highest concentration of total nitrogen is in the dry season (40.20 mg/L) and the lowest is in the rainy season (17.80 mg/L); the total nitrogen flux is lower in the dry season (2204.68 g/s) than in the rainy season (2403.47 g/s). …”
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  13. 933

    Assessment of Water Quality and Heavy Metal Contamination in River Water and Fish Species from the Bangshi River, Tangail, Bangladesh by Mausumi Rehnuma, Jannatul Firdous Jui, Jannatul Hasna, Umme Habiba, Anamul Haque

    Published 2025-01-01
    “…Fish samples were taken from one station during the wet season, whereas water samples were taken from three stations throughout the dry season (June to August 2022) and wet season (February to May 2022). …”
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  14. 934

    Association of player position and functional connectivity alterations in collegiate American football players: an fMRI study by Owen Griffith, Xiaoxiao Bai, Alexa E. Walter, Michael Gay, Jon Kelly, Wayne Sebastianelli, Linda Papa, Semyon Slobounov

    Published 2025-01-01
    “…The primary goal of this report was to examine alterations in functional connectivity in collegiate American football players after a season of repetitive head impact exposure.MethodsCollegiate football players completed a rs-fMRI at pre-season and 1 week into post-season. …”
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  15. 935

    Hydrothermal Dynamics and Surface Energy Allocation in Subtropical Grasslands by WANG Heng, ZHANG Qingtao, WANG Zhiqiang, WU Xinyu

    Published 2023-01-01
    “…Soil hydrothermal changes are an important part of the study of eco-hydrological processes,and studies on soil hydrothermal changes in grasslands in subtropical coastal areas are relatively insufficient.This paper studied the soil hydrothermal changes and surface energy balance of grassland in a subtropical campus area by using field observation data.The results showed that:① Grassland soil moisture is affected differently by rainfall in the wet and dry seasons,with rainfall causing greater soil moisture changes in the dry season than in the wet season.On 20 December,the daily rainfall was 15.2 mm,and the soil moisture change was 0.12 m<sup>3</sup>/m<sup>3</sup> during the study period.On 1 May,the daily rainfall was 120.3 mm,and the soil moisture change was only 0.11 m<sup>3</sup>/m<sup>3</sup>.② In terms of vertical variation in soil water potential gradient,the zero-pass surface of the soil water potential gradient occurs within 10~30 cm in the wet season and around 50 cm in the dry season.③ According to the response of soil moisture to rainfall,soil moisture transport after rainfall in the dry and wet seasons mainly occurs at a soil depth of 0~40 cm.④ The change in soil temperature is greatly influenced by seasonal temperature,and the surface soil temperature gradient is large.In spring and summer,soil temperature decreases with increasing soil depth;in autumn and winter,soil temperature increases with increasing soil depth.⑤ Within two adjacent months,transpiration from grasses is significantly reduced in the wet season relative to the dry season.In terms of energy allocation,although the wet season sees more rainfall and less energy flux,the proportion of latent heat flux is higher,with the proportion of latent heat flux between 0:00 and 6:00 and between 7:00 and 17:00 increasing by 3% and 7% respectively compared with the dry season.This paper examines rainfall and seasonal differences in the hydrothermal dynamics and surface energy of subtropical grasslands,providing information for the study of ecosystems in subtropical coastal zones.…”
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  16. 936

    Management of Vegetation by Alternative Practices in Fields and Roadsides by Allen V. Barker, Randall G. Prostak

    Published 2014-01-01
    “…Mulching with wood chips or bark gave season-long suppression of vegetation. Glyphosate gave season-long inhibition of vegetation, but the efficacy of glufosinate ammonium waned as the growing season progressed. …”
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  17. 937

    Characterization of Injuries in Male and Female Ultimate Frisbee Players at the Elite Club-Level by Kevin J Khoo, Joshua M Gellert, Mia S Hagen

    Published 2021-04-01
    “…Despite widespread popularity, there remains a lack of research on injury risk and prevalence during a season. # Purpose To determine the prevalence of injuries among elite club-level men and women Ultimate Frisbee players and to identify elements associated with injury during a single season…”
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  18. 938

    Dual-Task Gait Performance Following Head Impact Exposure in Male and Female Collegiate Rugby Players by Emily E Kieffer, Per Gunnar Brolinson, Steven Rowson

    Published 2022-04-01
    “… # Study Design Cross-sectional study # Methods Over two seasons, 77 female athlete-seasons and 64 male athlete-seasons from collegiate club rugby teams participated in this study. …”
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  19. 939

    Performance of Different Herbicides in Dry-Seeded Rice in Bangladesh by Sharif Ahmed, Bhagirath Singh Chauhan

    Published 2014-01-01
    “…A field study was conducted in the boro season of 2011-12 and aman season of 2012 at Jessore, Bangladesh, to evaluate the performance of sequential applications of preemergence herbicides (oxadiargyl 80 g ai ha−1, pendimethalin 850 g ai ha−1, acetachlor + bensulfuranmethyl 240 g ai ha−1, and pyrazosulfuron 15 g ai ha−1) followed by a postemergence herbicide (ethoxysulfuron 18 g ai ha−1) in dry-seeded rice. …”
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  20. 940

    Impact of water deficit on the anatomical structure of more productive and less productive cashew trees (Anacardium occidentale L.) in Côte d’Ivoire by Abdoul Rahim Falk Ky, Mory Latif Konaté, N'Guessan François Kouamé

    Published 2025-01-01
    “…The thickness of the leaves parenchymas of APHP trees did not show any variation according to the season while the stomatal density increased during the dry season. …”
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