Showing 2,361 - 2,380 results of 2,563 for search '"Shandong"', query time: 0.06s Refine Results
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    Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014 by Wanlin Dong, Chao Li, Qi Hu, Feifei Pan, Jyoti Bhandari, Zhigang Sun

    Published 2020-01-01
    “…Overall, the key climate factor impacting ET0 was wind speed decline in the NCP, particularly in Beijing and Tianjin. The crop yield in Shandong and Henan provinces was higher than that in the other regions with a higher humidity index. …”
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    Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm by Wenyu Zhang, Zhongyue Su, Hongli Zhang, Yanru Zhao, Zhiyuan Zhao

    Published 2014-01-01
    “…The present study investigated singular spectrum analysis (SSA) with a reduced parameter algorithm in three time series models, the autoregressive integrated moving average (ARIMA) model, the support vector machine (SVM) model, and the artificial neural network (ANN) model, to forecast the wind speed in Shandong province, China. In the proposed model, the weather research and forecasting model (WRF) is first employed as a physical background to provide the elements of weather data. …”
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    Study on the Impact of Climate Warming on Mariculture in China by GAO Jia, YANG Huaiyu

    Published 2024-09-01
    “…The results show that: (1) Although there are inter-annual fluctuations and regional differencesin temperature changes among provinces (autonomous regions and municipalities directly under the Central Government) there is an upward trend on the whole, confirming the macro background of global warming. (2) The overall output of mariculture in China is generally on the rise, especially in Liaoning, Shandong, Fujian, Guangdong and other provinces, which have become the core regions of mariculture in China. (3) Through in-depth analysis of the correlation between the temperature and the mariculture yield, it is found that there is a significant negative relationship between the two, that is, every 1% increase in temperature will lead to a decrease of about 2.65% in the mariculture yield. …”
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