Identifying Major Factors Affecting Groundwater Change in the North China Plain with Grey Relational Analysis

The North China Plain (NCP) is facing a water crisis under the dual impact of natural and anthropogenic factors. Groundwater levels have declined continuously since 1960, causing a series of environmental problems that have restricted sustainable development in the region. In the present study, we first utilized a previously developed 3D groundwater model to determine changes in groundwater level in the region over the past 50 years (1961–2010). We then applied grey relational analysis (GRA) to identify and ordinate major factors that have contributed to these changes. The results show an overall decreasing trend in groundwater levels in this region over the past 50 years and an increase in the water table depth at a rate of approximately 0.36 m/a. Groundwater exploitation showed the most significant correlation with the groundwater table decline, when compared with other factors including precipitation and river leakage. Therefore, human activities should be considered the primary force driving the groundwater level down. The results of this study have implications for developing criteria that consider changes in both climate and socio-economics. Furthermore, since the NCP is one of the most water-scarce and densely populated regions in the world, the analytical approach used in and the insights gained from this study are of international interest.

[1]  Bridget R. Scanlon,et al.  Use of flow modeling to assess sustainability of groundwater resources in the North China Plain , 2013 .

[2]  W. Hoeffding,et al.  Rank Correlation Methods , 1949 .

[3]  H. B. Mann Nonparametric Tests Against Trend , 1945 .

[4]  Hao Wang,et al.  Can China Cope with Its Water Crisis?—Perspectives from the North China Plain , 2010, Ground water.

[5]  A METHOD FOR INVESTIGATING THE POTENTIAL IMPACTS OF CLIMATE‐CHANGE SCENARIOS ON ANNUAL MINIMUM GROUNDWATER LEVELS , 2003 .

[6]  Heung Wong,et al.  Change-point analysis of hydrological time series using grey relational method , 2006 .

[7]  Arlen W. Harbaugh,et al.  MODFLOW-2000, The U.S. Geological Survey Modular Ground-Water Model - User Guide to Modularization Concepts and the Ground-Water Flow Process , 2000 .

[8]  Yo-Ping Huang,et al.  The integration and application of fuzzy and grey modeling methods , 1996, Fuzzy Sets Syst..

[9]  Zhang Guanghui,et al.  Adaptation between irrigation intensity and groundwater carrying capacity in North China Plain , 2013 .

[10]  Chen-Wuing Liu,et al.  Application of grey correlation method to evaluate potential groundwater recharge sites , 2006 .

[11]  Marios Sophocleous,et al.  From safe yield to sustainable development of water resources—the Kansas experience , 2000 .

[12]  J. Xia,et al.  Multi-scale variability and trends of precipitation in North China , 2011 .

[13]  William M. Alley,et al.  Sustainability of ground-water resources , 1999 .

[14]  Y Yang Characteristics of the Groundwater Level Regime and Effect Factors in the Plain Region of Tianjin City , 2011 .

[15]  Zeynep Demiray,et al.  Exploring the use of alternative groundwater models to understand the hydrogeological flow processes in an alluvial context (Tiber River, Rome, Italy) , 2014, Environmental Earth Sciences.

[16]  T. Partal,et al.  Trend analysis in Turkish precipitation data , 2006 .

[17]  Yaning Chen,et al.  Impacts of Climate Change and Human Activities on the Surface Runoff in the Tarim River Basin over the Last Fifty Years , 2008 .

[18]  F. La Vigna,et al.  Detecting the flow relationships between deep and shallow aquifers in an exploited groundwater system, using long‐term monitoring data and quantitative hydrogeology: the Acque Albule basin case (Rome, Italy) , 2012 .

[19]  Ramaswamy Sakthivadivel,et al.  The global groundwater situation: opportunities and challenges , 2001 .

[20]  M. Bierkens,et al.  Global depletion of groundwater resources , 2010 .

[21]  Yuan Zhang,et al.  Long-Term Evolution of Cones of Depression in Shallow Aquifers in the North China Plain , 2013 .

[22]  M. Gannett,et al.  Spatial variability of the response to climate change in regional groundwater systems – Examples from simulations in the Deschutes Basin, Oregon , 2013 .

[23]  Arlen W. Harbaugh,et al.  A modular three-dimensional finite-difference ground-water flow model , 1984 .

[24]  Yuping Lei,et al.  Ground Water Sustainability: Methodology and Application to the North China Plain , 2008, Ground water.

[25]  Huili Gong,et al.  Comprehensive analysis and artificial intelligent simulation of land subsidence of Beijing, China , 2013, Chinese Geographical Science.

[26]  A. W. Harbaugh MODFLOW-2005 : the U.S. Geological Survey modular ground-water model--the ground-water flow process , 2005 .

[27]  Guomin Li,et al.  Influence of south-to-north water diversion on major cones of depression in North China Plain , 2014, Environmental Earth Sciences.

[28]  Emilio Custodio,et al.  Aquifer overexploitation: what does it mean? , 2002 .

[29]  Kun-Li Wen,et al.  Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance - A case study of venture capital enterprises in Taiwan , 2007, Decis. Support Syst..

[30]  Cheng-Haw Lee,et al.  Basin-scale groundwater response to precipitation variation and anthropogenic pumping in Chih-Ben watershed, Taiwan , 2012, Hydrogeology Journal.

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

[32]  Eloise Kendy,et al.  Groundwater depletion: A global problem , 2005 .

[33]  Eloise Kendy,et al.  Groundwater Exploitation and Its Impact on the Environment in the North China Plain , 2001 .

[34]  M. Kendall Rank Correlation Methods , 1949 .

[35]  K. Kemper Groundwater—from development to management , 2004 .

[36]  Zhanyi Gao,et al.  Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level: A case study of Wuqiao in North China Plain , 2010, 2010 18th International Conference on Geoinformatics.

[37]  Annalisa Pascarella,et al.  Wind-induced salt-wedge intrusion in the Tiber river mouth (Rome–Central Italy) , 2014, Environmental Earth Sciences.

[38]  Song Yingbo Characteristics of Climate Change in the North China Plain for Recent 45 Years , 2010 .

[39]  Diana M. Allen,et al.  Modeled impacts of predicted climate change on recharge and groundwater levels , 2006 .

[40]  J. L Lin,et al.  The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics , 2002 .

[41]  Fei Yuhong,et al.  Analysis on Evolution of Groundwater Depression Cones and Its Leading Factors in North China Plain , 2009 .

[42]  C. Ma,et al.  A study on the environmental geology of the Middle Route Project of the South–North water transfer , 1999 .

[43]  I. Simmers,et al.  Groundwater recharge: an overview of processes and challenges , 2002 .