Karst Hydrological Processes and Grey System Model1

Hao, Yonghong, Jiaojuan Zhao, Huamin Li, Bibo Cao, Zhongtang Li, and Tian-Chyi J. Yeh, 2012. Karst Hydrological Processes and Grey System Model. Journal of the American Water Resources Association (JAWRA) 48(4): 656-666. DOI: 10.1111/j.1752-1688.2012.00640.x Abstract:  The karst hydrological processes are the response of karst groundwater system to precipitation. This study provided a concept model of karst hydrological processes. The hydraulic response time of spring discharge to precipitation includes the time that precipitation penetrates through the vadose zone, and the subsequent groundwater pressure wave propagates to a spring outlet. Due to heterogeneities in karst aquifers, the hydraulic response time is different in different areas. By using grey system theory, we proposed a karst hydrological model that offers a calculation of hydraulic response time, and a response model of spring discharge to precipitation. Then, we applied the models to the Liulin Springs Basin, China. In the south part of the Liulin Springs Basin, where large fields of carbonate rocks outcrop with intensive karstification, the hydraulic response time is one year. In the north, where the Ordovician karst aquifer is covered by Quaternary loess sediments, the response time is seven years. The grey system GM(1,3) response model of spring discharge to precipitation was applied in consideration of the hydraulic response time. The model calibration showed that the average error was 6.55%, and validation showed that the average error was 12.19%.

[1]  Howard Kunreuther,et al.  Making Low Probabilities Useful , 2001 .

[2]  P. Williams The role of the subcutaneous zone in karst hydrology , 1983 .

[3]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[4]  Okyay Kaynak,et al.  Grey system theory-based models in time series prediction , 2010, Expert Syst. Appl..

[5]  Yan-xin Wang,et al.  Response of carbonate aquifer to climate change in northern China: a case study at the Shentou karst springs , 2004 .

[6]  Ruzhu Wang,et al.  A new approach to performance analysis of ejector refrigeration system using grey system theory , 2009 .

[7]  William B. White,et al.  Conceptual Models for Carbonate Aquifers , 1969, Ground water.

[8]  I. Dryden,et al.  Non‐stationary spatiotemporal analysis of karst water levels , 2005 .

[9]  T. Yeh,et al.  Response of karst springs to climate change and anthropogenic activities: the Niangziguan Springs, China , 2009 .

[10]  Operational Prediction of Groundwater Fluctuation in South Florida using Sequence Based Markovian Stochastic Model , 2011 .

[11]  Michel Bakalowicz,et al.  Modelling of the functioning of karst aquifers with a reservoir model: Application to Fontaine de Vaucluse (South of France) , 2007 .

[12]  S. Dreiss Linear kernels for Karst Aquifers , 1982 .

[13]  Y. Hao,et al.  Investigation of karstic hydrological processes of Niangziguan Springs (North China) using wavelet analysis , 2012 .

[14]  D. Labat,et al.  Rainfall runoff relations for karstic springs. Part I: convolution and spectral analyses , 2000 .

[15]  P. Gattinoni,et al.  Depletion risk assessment of the Nossana Spring (Bergamo, Italy) based on the stochastic modeling of recharge , 2010 .

[16]  Yonghong Hao,et al.  A gray system model for studying the response to climatic change: The Liulin karst springs, China , 2006 .

[17]  R. Martel,et al.  Time series and stochastic analyses to study the hydrodynamic characteristics of karstic aquifers , 2009 .

[18]  D. Labat,et al.  Rainfall-runoff relations for karstic springs. Part II: Continuous wavelet and discrete orthogonal multiresolution analyses. , 2000 .

[19]  T. Yeh,et al.  The Role of Climate and Human Influences in the Dry‐Up of the Jinci Springs, China , 2009 .

[20]  M. Ju,et al.  Developing a new grey dynamic modeling system for evaluation of biology and pollution indicators of the marine environment in coastal areas , 2011 .