Title :
Application of Wavelet-Stochastic Coupling Model in Groundwater Dynamic Variation Law
Author :
Meng Fanxiang ; Xu Shuqin ; Li Tianxiao
Author_Institution :
Sch. of Water Conservancy & Civil Eng., Northeast Agric. Univ., Harbin, China
Abstract :
The variation of groundwater depth is a complicated time series, which is closely related with the climate condition and ecosystem, and is characterized by significant yearly periodicity and randomness. Therefore, it is of great importance to describe the dynamic variation of groundwater with an appropriate model. Taking Hongqiling Farm for example, this paper builds up the groundwater depth dynamic forecast model of Hongqiling Farm through wavelet-stochastic coupling model analysis. Through this method, this paper simulates and forecasts groundwater depth which reveals the dynamic variation regulation of the area and provides scientific basis for the sustainable development of groundwater resources in Hongqiling Farm.
Keywords :
climatology; ecology; groundwater; time series; water resources; wavelet transforms; China; Hongqiling Farm; climate condition; ecosystem; groundwater depth dynamic forecast model; groundwater resources; time series; wavelet-stochastic coupling model; Civil engineering; Continuous wavelet transforms; Discrete wavelet transforms; Ecosystems; Filters; Predictive models; Water conservation; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5302826
