Study on Building and Modeling of Virtual Data of Xiaosha River Artificial Wetland

Qun Miao; Lei Bian; Xipeng Wang; CHang Xu

doi:10.4236/jep.2013.41B009

Home > Journals > Earth & Environmental Sciences > JEP

JEP> Vol.4 No.1B, January 2013

Share This Article:

Open Access

Study on Building and Modeling of Virtual Data of Xiaosha River Artificial Wetland

Abstract Full-Text HTML

Download as PDF (Size:87KB) PP. 48-50

DOI: 10.4236/jep.2013.41B009 4,813 Downloads 5,964 Views Citations

Author(s) Leave a comment

Qun Miao, Lei Bian, Xipeng Wang, CHang Xu

Affiliation(s)

School of Environment and Municipal Engineering, Qingdao Technological University, Qingdao, China.

ABSTRACT

From the viewpoint of systems science, this article takes Xiaosha River artificial wetland under planning and construction as object of study based on the systems theory and takes the accomplished and running project of Xinxuehe artificial wetland as reference. The virtual data of quantity and quality of inflow and the quality of outflow of Xiaosha River artificial wetland are built up according to the running experience, forecasting model and theoretical method of the reference project as well as the comparison analysis of the similarity and difference of the two example projects. The virtual data are used to study the building of forecasting model of BP neural network of Xiaosha River artificial wetland.

KEYWORDS

Xiaosha River artificial wetland; virtual data; BP neural network

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Q. Miao, L. Bian, X. Wang and C. Xu, "Study on Building and Modeling of Virtual Data of Xiaosha River Artificial Wetland," Journal of Environmental Protection, Vol. 4 No. 1B, 2013, pp. 48-50. doi: 10.4236/jep.2013.41B009.

References

[1]	Nan Liang, “Neural Network And the Fuzzy Control,” Beijing, Tsinghua University Press,2000.

[2]	Nan Liang, “Water Quality Forecast and Realization By MATLAB Based On Artificial Neural Network,” Chang’an University,2007.

[3]	Xiaoping Wang, Jiyang Sun, Xin Jin, “Forecast of Water Quality Indices of Qiantang River Based on BP Neural Network,” Zhe-jiang University Journal (Engineering), 2007.41（2）, pp. 361-364.

[4]	HuangXinRong, “Qian xuesen, Complex-ity THoughts study,” 2004.10,12（4）.

[5]	MiaoDongSheng, “Qian xuesen Complexity Research Review,” Journal of xi 'an jiaotong universi-ty(social science edition), 2004.12,24（4）.