Prediction of Low Flow Years in the Upstream of Zhang River Based on Improved Gray Model

Ling Ling Shao; Wen Juan Niu; Fan Tang; Chao Lin

doi:10.4028/www.scientific.net/AMR.1051.439

Paper Titles

Effect of Curcumin on the Level of Blood Lipid and Blood Glucose in Diabetic Rat Model
p.419

Optimization for the Process of Chlorophyll a Extraction by Orthogonal Method
p.423

The Noise Characteristics Research in Subway Cars
p.431

Experimental Studies on the Salt Expansion Law of Gravel Sulfate Saline Soil under the Five Factors of Salt Expansion
p.435

Prediction of Low Flow Years in the Upstream of Zhang River Based on Improved Gray Model
p.439

Peculiarities of Recultivating the Ash Dump of Power Station-1 in the City of Khabarovsk
p.444

Effect of 2, 4-D on Adsorption of Copper onto the Black Soil
p.448

Design and Global Sustainable Development from the Perspective of Game Theory
p.452

Impact Assessment of the Sulfide Oxidation Processes Occurring in the Tailing Dumps of Komsomolsky District on the Hydrosphere in a Wide Temperature Range
p.457

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1051Prediction of Low Flow Years in the Upstream of...

Prediction of Low Flow Years in the Upstream of Zhang River Based on Improved Gray Model

Abstract:

A reasonable prediction of low flow years in a region in the future so as to make deployment in advance is related to the stability of the region. This paper established conventional GM (1,1) model and improved GM (1,1) model based on grey system theory to predict low flow years in the upstream of Zhang River which has gray characteristics so as to avoid risks, improve spatial and temporal allocation of water resources and promote sustainable development of the basin. The research shows that improved GM (1,1) model which can improve the smoothness of the original data series provides a more accurate prediction than conventional GM (1,1) model by using the example of Zhuozhang River tributary in the Upstream of Zhang River.

You might also be interested in these eBooks

Applied Engineering Decisions in the Context of Sustainable Development

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 1051)

Pages:

439-443

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1051.439

Citation:

Cite this paper

Online since:

October 2014

Authors:

Ling Ling Shao*, Wen Juan Niu, Fan Tang, Chao Lin

Keywords:

GM(1,1) Model, Gray System Theory, Improved GM(1,1) Model, Low Flow Years, Prediction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Xu Shizhong. The status of water disputes in the upstream of Zhang River, research on problems and countermeasures [J]. Haihe Water Resources, 2007, 02: 10-14.

Google Scholar

[2] Wang Ni, Sun Bo, Zhang Gang. Application of the improved gray model on the prediction of city water demand in industry [J]. Journal of Northwest University (Natural Science Edition), 2009, 2: 41.

Google Scholar

[3] Zhan Pingyuan, Chen Jie. Grey Prediction Analysis of overseas investment in hydropower [J]. Seeker , 2012, 9: 9.

Google Scholar

[4] Chen Taojie. A new development of Grey Forecasting Model [J]. Journal of Systems Science and Systems Engineering, 1990, 8 (7): 50-52.

Google Scholar

[5] He Wanke. Forecast of dry year based on gray system in QianheRiver[J]. Journal of Water Resources &Water Engineering, 2008, 19 (2): 41-43.

Google Scholar