Please wait a minute...
img img
Adv. Search
Advances in Earth Science  2012, Vol. 27 Issue (9): 969-978    DOI: 10.11867/j.issn.1001-8166.2012.09.0969
Cross Wavelet Analysis of Groundwater Level Regimes and Precipitation Groundwater Level Regime in Ji’nan Spring Region
Qi Xiaofan1, Yang Lizhi1, Han Ye1, Shang Hao1, Xing Liting2
1.Shandong Institute of Geological Survey, Ji’nan 250013, China;2. School of Resources and Environment, University of Ji’nan, Ji’nan 250022, China
Download:  PDF (2363KB) 
Export:  BibTeX | EndNote (RIS)      

Based on observations of eight groundwater level regime observational points from 1998 to 2009 in Jinan spring region and the precipitation amount from 1988 to 2009, by adopting the methods of continuous wavelet transform, cross wavelet transform and cross phase, the paper analyzes the multipletimescale characteristics of groundwater level regime, its correlation with each other, as well as response to precipitation. Conclusions are drawn as follows: The region is of obvious 0.82~1.16 years significant oscillation periods with 1.95~3.09 years of lowfrequency oscillation occurring in some areas with no obvious highfrequency oscillation period. Observations from three dot pairs, the Tuwu villageWater Group Co, Xiaozhuang villageKuangli village, and Laoshigou villageRoyal Heights established to investigate the main runoff of the region by analyzing cross wavelet transforms of groundwater level regime and precipitationgroundwater level regime show that the water level regime of the nether observational points lag behind that of the upper ones respectively by 9.41, 11.90, 33.97 d and 5.63, 17.73, 31.87 d. Water abundance of the region is also surveyed and it is believed that water abundance has impact on timedelay characteristic of groundwater level regime and that larger figures occur in weak abundance sections while small ones in strong water abundance sections. The four observational points, the parking lot 102, Xiaozhuang village, Water Group Co, Dayu Village in strong water abundance sections show similar groundwater level fluctuations, which is resulted from basically simultaneous runoff supply or strong runoff. The groundwater level regime in Laoshigou village lags behind precipitation by 73.06 d, other observational points by 101.11~134.42 d, indicating that there is significant timedelay between groundwater level regime and precipitation, and also that the longer the groundwater runoff distance, the longer the timedelay is. Based on cross wavelet transform of groundwater level regime and precipitationgroundwater level regime, most observational points get close timedelay, despite a few different figures due to difference in precipitation data, observation time and precipitation recharge mechanism, etc. Under the same observation time in cross wavelet transform of groundwater level regime, a functional relationship is found between the total timedelay sum of part dot pairs and that of the whole dot pairs in the same runoff areas. Thus, cross wavelet can be analyzed to investigate correlation between groundwater level regime and precipitation of a region.

Key words:  Groundwater level regime      Precipitation      Cross phase      Cross wavelet transform      Ji’nan spring region.     
Received:  22 April 2012      Published:  10 September 2012
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
Articles by authors
Qi Xiaofan
Yang Lizhi
Han Ye
Shang Hao
Xing Liting

Cite this article: 

Qi Xiaofan, Yang Lizhi, Han Ye, Shang Hao, Xing Liting. Cross Wavelet Analysis of Groundwater Level Regimes and Precipitation Groundwater Level Regime in Ji’nan Spring Region. Advances in Earth Science, 2012, 27(9): 969-978.

URL:     OR

[1]Li Hongjun, Jiang Zhihong, Liu Xinchun, et al. The relationship between the North Atlantic Oscillation and runoff variation of Aksu River in Xinjiang, China[J]. Acta Geographica Sinica, 2008, 63(5): 491-500.[李红军,江志红,刘新春,等. 阿克苏河径流量变化与北大西洋涛动的关系[J]. 地理学报, 2008, 63(5): 491-500.]

[2]Wang Yamin, Zhang Bo, Guo Lingxia, et al. Cross wavelet analysis and R/S analysis of relationship between Geomagnetic Ap Index and Sunspot Number[J]. Scientia Geographica Sinica, 2011, 31(6): 747-752.[王亚敏,张勃,郭玲霞,等.地磁Ap 指数与太阳黑子数的交叉小波分析及R/S 分析[J]. 地理科学, 2011, 31(6): 747-752.]

[3]Valdes-Galicia J F, Velasco V M. Variations of mid-term periodicities in solar activity physical phenomena[J]. Advances in Space Research, 2008, 41(2): 297-305.

[4]Casty C, Raible C C, Stocker T F, et al. A European pattern climatology 1766-2000[J]. Climate Dynamics, 2007, 29(7/8): 791-805.

[5]Yu Dandan, Zhang Ren, Hong Mei, et al. Correlation analysis between the West Pacific Subtropical High and the East Asian Summer Monsoon System based on cross wavelet and wavelet coherence[J]. Journal of Nanjing Institute of Meteorology, 2007, 30(6): 755-769.[余丹丹,张韧,洪梅,等. 基于交叉小波与小波相干的西太平洋副高与东亚夏季风系统的关联性分析[J]. 南京气象学院学报, 2007, 30(6): 755-769.]

[6]Kemp D B, Coe A L. A nonmarine record of eccentricity forcing through the Upper Triassic of southwest England and its correlation with the Newark Basin astronomically calibrated geomagnetic polarity time scale from the North America[J].Geology, 2007, 35(11): 991-994.

[7]Biswas A, Si B C. Scales and locations of time stability of soil water storage in a hummocky landscape[J]. Journal of Hydrology, 2011, 408(1/2): 100-112.

[8]Jevrejeva S, Grinsted A, Moore J C, et al. Nonlinear trends and multiyear cycles in sea level records[J]. Journal of Geophysical Research C: Oceans, 2006, 111: C09012,doi:10.1029/2005JC003229.

[9]Ramp S R, Bahr F L. Seasonal evolution of the upwelling process south of Cape Blanco[J]. Journal of Physical Oceanography, 2008, 38(1): 3-28.

[10]Castellanos N P, Malmierca E, Nunez A, et al. Corticofugal modulation of the tactile response coherence of projecting neurons in the gracilis nucleus[J]. Journal of Neurophysiology, 2007, 98(5): 2 537-2 549.

[11]Bigot J, Longcamp M, Maso F D, et al. A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions[J]. NeuroImage, 2011, 55(4): 1 504-1 518.

[12]Labat D. Cross wavelet analyses of annual continental freshwater discharge and selected climate indices[J]. Journal of Hydrology, 2010, 385(1/4): 269-278.

[13]Liu Y, Brown J, Demargne J. A wavelet-based approach to assessing timing errors in hydrologic predictions[J]. Journal of Hydrology, 2011, 397(3/4): 210-224.

[14]Liu Feng, Chen Shenliang, Peng Jun, et al. Multi-scale variability of flow discharge and sediment load of Yellow River to sea and its impacts on the estuary during the past 60 years[J]. Acta Geographica Sinica, 2011, 66(3): 313-323.[刘锋, 陈沈良, 彭俊,等. 近60年黄河入海水沙多尺度变化及其对河口的影响[J]. 地理学报, 2011, 66(3): 313-323.]

[15]Torrence C, Compo G P. A practical guide to wavelet analysis[J]. Bulletin of the American Meteorological Society, 1998, 79(1): 61-78.

[16]Grinsted A, Moore J C, Jevrejeva S. Application of the cross wavelet transform and wavelet coherence to geophysical time series[J]. Nonlinear Processes in Geophysics, 2004, 11(55): 561-566.

No Suggested Reading articles found!