Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Grey system model with time lag and application to simulation of karst spring discharge

Grey system model with time lag and application to simulation of karst spring discharge Purpose – The purpose of this paper is to introduce the concept of time lag to grey system models, and propose the grey system models with time lags. Design/methodology/approach – The models were applied to calculate the time lags between spring flow and precipitation (i.e. hydraulic response time) and simulate karst spring discharge in Liulin Springs Basin, China. Findings – The results show that the time lags of Lishi, Zhongyang, and Fangshan are three, five, and eight, respectively. By considering the time lags, we set up the grey system GM(1,4) response model of Liulin Springs discharge to precipitation of Lishi, Zhongyang, and Fangshan. Originality/value – The results are in agreement with regional geological structure and provide a better understanding of karst hydrological processes of Liulin Springs Basin. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Grey Systems: Theory and Application Emerald Publishing

Grey system model with time lag and application to simulation of karst spring discharge

Loading next page...
 
/lp/emerald-publishing/grey-system-model-with-time-lag-and-application-to-simulation-of-karst-W5qaEYqTkD
Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
2043-9377
DOI
10.1108/20439371111106722
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to introduce the concept of time lag to grey system models, and propose the grey system models with time lags. Design/methodology/approach – The models were applied to calculate the time lags between spring flow and precipitation (i.e. hydraulic response time) and simulate karst spring discharge in Liulin Springs Basin, China. Findings – The results show that the time lags of Lishi, Zhongyang, and Fangshan are three, five, and eight, respectively. By considering the time lags, we set up the grey system GM(1,4) response model of Liulin Springs discharge to precipitation of Lishi, Zhongyang, and Fangshan. Originality/value – The results are in agreement with regional geological structure and provide a better understanding of karst hydrological processes of Liulin Springs Basin.

Journal

Grey Systems: Theory and ApplicationEmerald Publishing

Published: Jan 28, 2011

Keywords: China; Systems theory; Time series analysis; Groundwater; Simulation

References