Zhenchun Hao

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The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4) presents twenty-two global climate models (GCMs). In this paper, we evaluate the ability of 22 GCMs to reproduce temperature and precipitation over the Tibetan Plateau by comparing with ground observations for 1961~1900. The results suggest that all the GCMs(More)
In view of the deficiency of classic method evaluating water quality. A grey relational analysis model is proposed to evaluate water quality in river. The principle of grey relational analysis and its process are introduced. Suzhou river was selected and assessed by using this method. And it was found that, compared with the fuzzy complex judgment method,(More)
Because of Boundary types and geologic conditions, which possess random and obscure characteristics, groundwater heads vary with the conditions. The prediction of groundwater level is one of the main work of hydraulic government, which is predicted based on the history data and the relative influence factors. Therefore, prediction precision depends on the(More)
In view of the defect of traditional water quality evaluation model, a probabilistic neural network (PNN) is developed to evaluate surface water quality in Jining. Probabilistic neural network is a new type neural network consisting Radical Basis network and compete neural network, which is simple in structure, easy for training and wide used. PNN model is(More)
Contaminant transport in underground system usually occurs in varied flow fields and in anisotropic and heterogenous media. Because the applicability of analytical solutions is extremely limited for such conditions, and the distribution and transport of pollutants in groundwater are controlled by physical chemistry and biology courses, which include(More)
In view of the defect of traditional water quality evaluation model, based on fuzzy neural network theory, a new model of fuzzy neural network (FNN) comprehensive evaluation is developed to evaluate surface water quality in Suzhou. Fuzzy neural network is a new type neural network consisting Radical Basis network and compete neural network, which is simple(More)
On the basis of the precipitation, mean air temperature, relative humidity and wind speed at 10 meteorological stations in the head region of the Yellow River from 1960-1997, the long-term monotonic trends and periods for the four climate variables have been investigated. Mann-Kendall method and wavelet transform analysis were employed to analyze changing(More)