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  • Forecasting solar still performance from conventional weather data variation by machine learning method

    分类: 能源科学 >> 能源(综合) 提交时间: 2022-05-30

    摘要: Solar stills are considered an effective method to solve the scarcity of drinkable water. However, it is still missing a way to forecast its production. Herein, it is proposed that a convenient forecasting model which just needs to input the conventional weather forecasting data. The model is established by using machine learning methods of random forest and optimized by Bayesian algorithm. The required data to train the model is obtained from daily measurements lasting 9 months. To validate the accuracy model, the determination coefficients of two types of solar stills are calculated as 0.935 and 0.929, respectively, which are much higher than the value of both multiple linear regression (0.767) and the traditional models (0.829 and 0.847). Moreover, by appling the model, it is predicted that the freshwater production of four cities in China. The predicted production is approved to be reliable by a high value of correlation (0.868) between the predicted production and the solar insolation. With the help of the forecasting model, it would greatly promote the global application of solar stills.

  • UV-B辐射对神农香菊菇类物质合成及其相关基因表达的影响

    分类: 生物学 >> 植物学 >> 应用植物学 提交时间: 2018-12-19 合作期刊: 《广西植物》

    摘要: 该研究以神农香菊为材料,用强度为400 }wcW的紫外光UV-B对其进行辐射处理,辐射时间分别为0, 0.5, 1, 2, 4 h,探讨U V-B辐射对神农香菊菇类物质合成及其相关基因表达的影响。结果表明:较短时间的U V-B辐射对神农香菊菇类物质合成相关基因表达量有明显的促进作用。与对照相比,0.5, 1, 2, 4 h处理对相关基因表达量均有不同程度的提高。同时在2h处理下HMGR, DXR, TPS, GPS基因的相对表达量达到最大值。在4h处理下FPS和DXS的相对表达量达到最大值,其中FPS基因表达量变化最显著,为对照的69倍。M VA途径中,去氢白首烯、杜松菇烯的含量与FPS基因表达量4h内持续上升的变化趋势保持一致。1一石竹烯与HMGR的变化趋势保持一致,表现为先升高后降低。MEP合成途径中,a-钡财白酮、崖柏酮、p一钡财白酮的含量呈现与DXR, GPS, TPS基因表达量相同的变化趋势。按树脑在U V-B辐射4 h内持续上升,与DXS基因的变化一致。由此可以推断,UV-B辐射通过影响各自途径中一些关键基因的表达量,进而影响了神农香菊菇类物质的合成量。