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1

An improved coupling model of grey-system and multivariate linear regression for water consumption forecasting

100%
He F., Tao T.
Polish Journal of Environmental Studies
|
2014
|
tom 23
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nr 4
Water prediction is the basis for water resource planning and management. However, water resource systems are complex. Water consumption is influenced by various factors whose relations are also complicated. The degree of influence is always different for the same factor in different areas. The effective factors of water consumption are analyzed thoroughly. The influencing factors of high degree are selected to establish an improved coupling model of grey system and multiple regressions to predict water consumption in Wuhan. The coupling model is clear in concept, simple in structure, and convenient in use. The complex relationship between water consumption and its main influencing factors is reflected. The model has the potential advantage for predicting annual water consumption. The applied research in Wuhan showed that the forecast effect of improved coupled model is good with relative error less than 1%. The model is used to predict water consumption of 2015 in Wuhan as 4.1430424 billion tons.
2
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Spatiotemporal analysis of air quality and its relationship with meteorological factors in the Yangtze River Delta

81%
Li Y., Chen Y., Karimian H., Tao T.
Journal of Elementology
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2020
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tom 25
|
nr 3
3

Summary of the port shoreline resource evaluation based on triangular fuzzy analytic hierarchy process

71%
Jiang L., Tao T., Zhang C., Jiang H., Wang J.
Polish Maritime Research
|
2017
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tom 24
|
nr Special Issue S3
Port shoreline resources are the basis of port and shipping development, and its assessment method has become one of the hot issues in port research. On the basis of constructing a reasonable index evaluation system, this paper constructs the fuzzy evaluation matrix based on the triangular fuzzy analytic hierarchy process and constructs the fuzzy evaluation matrix by using the fuzzy comprehensive evaluation method, and obtains the maximum membership degree of the port shoreline resources. Compared with the traditional port shoreline Resource evaluation methods, the new one got more advantages in objective and quantitative. Finally, Combined with the Nanjing section of the Yangtze River as a case for verification, the results show that the model can accurately solve the problem of resource evaluation of port shoreline
4

De novo assembly and comparative transcriptome analysis: novel insights into sesquiterpenoid biosynthesis in Matricaria chamomilla L.

61%
Zhang W., Tao T., Liu X., Xu F., Chang J., Liao Y.
Acta Physiologiae Plantarum
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2018
|
tom 40
|
nr 07
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