Fangyuan Meng

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Temperate forests can contain large numbers of wetlands located in areas of low relief and poor drainage. These wetlands can make a large contribution to the dissolved organic carbon (DOC) load of streams and rivers draining the forests, as well as the exchange of methane (CH4) and carbon dioxide (CO2) with the atmosphere. We studied the carbon budget of a(More)
Foliage on spruce trees (Picea rubens Sarg.) growing on dry SO(2) deposition zones (dry SO(2) deposition ranging from 0.5 and 8.5 S kg ha(-1) year(-1)) downwind from a SO(2) emission source was analyzed to assess chronic effects of long-term low-grade SO(2) deposition on net photosynthesis, stomatal conductance, dark respiration, stomatal antechamber wax(More)
This paper proposes a new method to predict wind power of wind farm using the combination of GM(1,1) model and cloud model. The original wind power signals are decomposed into high frequency part and low frequency part by wavelet decomposition. Cloud model is constructed to predict wind power of high frequency part and GM(1,1) model is used to predict wind(More)
Aiming at the characteristics of mark-up decision, 18 main factors which influenced the mark-up rate were defined based on previous experiences and research results to build index system of the mark-up rate decision model. Then RBF neural network model was used for markup rate decision in bidding and pricing with MATLAB neural network toolbox.
Grey multiple attribute fusion method is put forward in this paper and applied to condenser fault recognition in which grey relation analysis is combined with multiple attribute decision making. First the state parameters of condenser are fuzzed and use traditional relation analysis method to calculate the relation coefficients between pattern samples and(More)
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