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基于信息融合的温室CO2调控量决策方法（Decision-making on Greenhouse CO2 Control Quantity Based on Information Fusion）
温室 CO2调控量 决策
2009/8/11
提出一种以利润最大化为目标的温室CO2调控量决策方法。以生菜为研究对象，运用神经网络建立非线性的植物生长速率预测模型，采用多项式函数拟合得到植物市场价格规律模型，并考虑CO2施肥的成本，寻求最优CO2体积比的调控量。以生菜生长过程中的实验数据和2004～2006年凌家塘批发市场提供的生菜价格季节性变化规律为依据，结合实际情况建立预测模型并实现了多信息的融合，为温室测控系统CO2调控量的决策提供了依...
CO2 control of Trichodesmium N2 fixation, photosynthesis, growth rates, and elemental ratios: Implications for past, present, and future ocean biogeochemistry
CO2 control Trichodesmium N2 fixation photosynthesis growth rates elemental ratios past present future ocean biogeochemistry
2014/4/22
Diazotrophic marine cyanobacteria in the genus Trichodesmium contribute a large fraction of the new nitrogen entering the oligotrophic oceans, but little is known about how they respond to shifts in g...
The movement of carbon, in its many forms, between the atmosphere, oceans, biosphere, and geosphere is described by the carbon cycle (Figure 1). This cycle consists of several storage pools of carbon ...
Oil, coal, and other fossil fuels are called hydrocarbons because they are made of both carbon and hydrogen. Millions of years ago, plants took hydrogen out of water and combined it with carbon to cre...