Advanced Search
  • Included in CSCD
  • Chinese Core Journals
  • Included in WJCI Report
  • Included in Scopus, CA, DOAJ, EBSCO, JST
  • The Key Magazine of China Technology
Volume 37 Issue 4
Aug.  2018
Turn off MathJax
Article Contents
Article Navigation >  CARSOLOGICA SINICA  > 2018  >  37(4): 515-526
CHI Guangyao, XING Liting, HOU Xinyu, HUANG Linxian, YANG Yi, ZHANG Wenjing. Study of large karst springs using the wavelet analysis and Mann-Kendall methods[J]. CARSOLOGICA SINICA, 2018, 37(4): 515-526. doi: 10.11932/karst20180405
Citation: CHI Guangyao, XING Liting, HOU Xinyu, HUANG Linxian, YANG Yi, ZHANG Wenjing. Study of large karst springs using the wavelet analysis and Mann-Kendall methods[J]. CARSOLOGICA SINICA, 2018, 37(4): 515-526. doi: 10.11932/karst20180405
shu

Study of large karst springs using the wavelet analysis and Mann-Kendall methods

doi: 10.11932/karst20180405
  • 1.

    School of Water Conservancy and Environment, University of Jinan

  • 2.

    School of Water Conservancy and Environment, University of Jinan/Shandong Provincial Engineering Technology Research Center for Groundwater Numerical Simulation and Contamination Control

  • Publish Date: 2018-08-25
    Abstract
  • The study of groundwater dynamics is one of the most effective ways to understand the nature of groundwater resources. According to the monitoring data of precipitation and groundwater level in the Jinan karst spring area from 1956 to 2013, this work studies the spring water level response to atmospheric precipitation during these 58 years using the wavelet analysis, Mann-Kendall trend test and mutation test. The results show that，(1) the precipitation and spring water level show a feature of multi-scale variation, and the change cycle is basically the same on a long-term scale, which are 16 years and 12 years, respectively. It means that atmospheric precipitation has a direct impact on the spring water level.(2) From 1956 to 2013, the groundwater level in the Jinan spring area had a significant downward trend of 0.65m·（10a）-1, while the precipitation had an upward trend of 12.65mm·（10a）-1, which is not significant, indicating that the weight of the influencing factors of spring dynamic has changed under the influence of human factors. (3)Furthermore, there has been a mutation of atmospheric precipitation which occurred in 1999, and the annual precipitation increased after 1999. However, the groundwater level mutation appeared in 1967, while the water level continued to decrease after 1967 and then increased rapidly after 2004. The future trend of the spring water level should be kept consistent with the precipitation and show an upward trend, indicating that atmospheric precipitation is not the sole factor affecting the dynamics of the spring. (4)The results from multivariable regressions for different periods of time suggest that the main influencing factors of groundwater level in the past 58 years are the transition from precipitation to artificial mining; at the same time, it validates the suitability and reliability of wavelet analysis and the Mann-Kendall method to study groundwater dynamics, and also provides a reference for the protection of the spring in Jinan City.

     

    • FullText(HTML)
  • loading
    • References(39)
  • [1]
    祁晓凡,杨丽芝,韩晔,等.济南泉域地下水位动态及其对降水响应的交叉小波分析［J］.地球科学进展,2012,27(9):969-978.
    [2]
    祁晓凡,蒋忠诚,罗为群.典型表层岩溶水系统降水量与泉流量的交叉小波分析［J］.地球与环境,2012,40(4):561-567.
    [3]
    郭琳,宫辉力,朱锋,等.基于小波分析的地下水水位与降水的周期性特征研究［J］.地理与地理信息科学,2014,30(2):35-38，127.
    [4]
    Tremblay L, Larocque M, Anctil F, et al. Teleconnections and interannual variability in Canadian groundwater levels［J］.Journal of Hydrology,2011,410(3):178-188.
    [5]
    Nakken M. Wavelet analysis of rainfall-runoff variability isolating climatic from anthropogenic patterns［J］.Environmental Modelling & Software,1999,14(4):283-295.
    [6]
    张建芝,邢立亭.回归分析法在地下水动态分析中的应用［J］.地下水,2010,32(4):88-90.
    [7]
    迟光耀,邢立亭,主恒祥,等.大气降水与济南泉水动态变化的定量关系研究［J］.地下水,2017,39(1):8-11.
    [8]
    Lu W X,Zhao Y,Chu H B,et al.The analysis of groundwater levels influenced by dual factors in western Jilin Province by using time series analysis method［J］.Applied Water Science,2014,3(4):251-260.
    [9]
    Jan C D,Chen T H,Huang H M.Analysis of rainfall-induced quick groundwaterlevel response by using a Kernel function［J］. Paddy Water Environment, 2013(11): 135-144.
    [10]
    Chang F J, Chen P A,Liu C W,et al.Regional estimation of groundwater arsenic concentrations through systematical dynamic-neural modeling［J］.Journal of Hydrology,2013,499:265-274.
    [11]
    胡克祯,张建芝,邢立亭.基于时间序列分析的地下水动态研究［J］.水科学与工程技术,2011(5):32-34.
    [12]
    Mao X M,Shang S H,Liu X.Groundwater level predictions using artificial neural networks［J］. Tsinghua Science and Technology,2002,7(6):574-579.
    [13]
    Schulze-Makuch D,Douglas A,Carlson,D Scherkauer,etal.Scale dependency of hydraulic conductivity in hetero-geneous media［J］.GroundWater,1999,37(6):904-919.
    [14]
    Eric K,Webb and Mary P,Anderson.Simulation of preferential flow in three-dimensional heterogeneous conductivity fields with realistic internal architecture［J］.Water Resources Research,1996,32(3):533-545.
    [15]
    孙晨,束龙仓,鲁程鹏，等.裂隙-管道介质泉流量衰减过程试验研究及数值模拟［J］,水利学报,2014,45(1): 50-57，64.
    [16]
    Faulkner J，Hu B，Kish S，et al . Laboratory analog and numerical study of groundwater flow and solute transport in a karst aquifer with conduit and matrix domains［J］. Journal of Contaminant Hydrology，2009，110(1-2):34-44.
    [17]
    宫辉力,赵文吉,诸云强.裂隙-岩溶介质空间水流数值仿真与流场优化［J］.系统仿真学报,2002,14(2): 186-188.
    [18]
    Gallegos J J . Modeling groundwater flow in karst aquifers:an evaluation of MODFLOW-CFP at the laboratory and sub-regional scales［D］. Tallahassee:Florida State University，2011.
    [19]
    Shoemaker B W, Kuniansky E L , Steffen B .Documentation of a conduit flow process (CFP) for MODFLOW -2005［ M］.Virginia :U S GeologicalSur vey , 2007 :1-50.
    [20]
    祁晓凡,李文鹏,李传生,等.济南岩溶泉域地下水位与降水的趋势性与持续性［J］.灌溉排水学报,2015,34(11):98-104.
    [21]
    吴小玲,张斌,艾南山,等.基于小波变换的上海市近10年SO2污染指数的变化［J］.环境科学,2009,30(8):2193-2198.
    [22]
    Torrence C,Compo G.A practical guide to wavelet analysis［J］.Bulletin of the American Meteorological Society,1998,79(1):61-78.
    [23]
    Orhan Gunduz,Celalettin Simsek.Influence of Climate Change on Shallow Groundwater Resources:The Link Between Precipitation and Groundwater Levels in Alluvial Systems［J］.Climate Change and its Effects on Water Resources,2011,3:225-233.
    [24]
    董婕,周淑艳,卢斌.富平县地下水位与降水量变化动态分析［J］.西北师范大学学报(自然科学版),2008,44(6):98-101.
    [25]
    Noam Zach Dvory,Yakov Livshitz,Eilon Adar,et al.The effect of hydrogeological conditions on variability and dynamic of groundwater recharge in a carbonate aquifer at local scale［J］. Journal of Hydrology,2016,535:480-494.
    [26]
    徐建华,现代地理学中的数学方法［M］.北京:高等教育出版社,2002.
    [27]
    桑燕芳,王栋.水文序列小波分析中小波函数选择方法［J］.水利学报,2008,39(3):295-300，306.
    [28]
    姜晓艳,刘树华,马明敏,等.东北地区近百年降水时间序列变化规律的小波分析［J］.地理研究,2009,28(2):354-362.
    [29]
    Xu J H,Chen Y N,Lu F,et al.The nonlinear trend of runoff and its response to climate change in the Aksu River,western China［J］.International Journal of Climatology,2011,31(5):687-695.
    [30]
    申倩倩,束炯,王行恒.上海地区近136年气温和降水量变化的多尺度分析［J］.自然资源学报,2011,26(4):644-654.
    [31]
    刘宇峰,孙虎,原志华.基于小波分析的汾河河津站径流与输沙的多时间尺度特征［J］.地理科学,2012,32(6):764-770.
    [32]
    Van B G,Hughes J P.Nonparametric tests for trends in water quality［J］.Water Resources Research,1984,20(1):127-136.
    [33]
    HAMED K.Exact distribution of the mann-kendall trend test statistic for persistent data［J］.Journal of Hydrology,2009,365(1):86-94.
    [34]
    Zhang Q,Xu C Y,Tao H,et al.Climate changes and their impacts on water resources in the arid Regions:A case study of the tarim river basin,China［J］.Stochastic Environmental Research and Risk Assessment,2010,24(3):349-358.
    [35]
    于延胜,陈兴伟.基于Mann-Kendall法的水文序列趋势成分比重研究［J］.自然资源学报,2011,26(9):1585-1591.
    [36]
    刘叶玲,翟晓丽,郑爱勤.关中盆地降水量变化趋势的Mann-Kendall分析［J］.人民黄河,2012,34(2):28-30+33.
    [37]
    祁晓凡,王雨山,杨丽芝,等.近50年济南岩溶泉域地下水位对降水响应的时滞差异［J］.中国岩溶,2016,35(4):384-393.
    [38]
    王珺瑜,王家乐,靳孟贵.济南泉域岩溶水水化学特征及其成因［J］,地球科学,2017,42(5):821-831.
    [39]
    周娟,邢立亭,滕朝霞,等.制约济南岩溶大泉持续喷涌的主因素阈值研究［J］.华东师范大学学报(自然科学版),2015(3):146-156.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF(8170.0KB)
    XML

    Article Metrics

    Article views (2314) PDF downloads(629) Cited by()
    Proportional views
    Related

    Website Copyright © CARSOLOGICA SINICA 桂ICP备05009877号-1

    Sponsor: Chinese Academy of Geological Sciences Sponsored by: Institute of Karst Geology, Chinese Academy of Geological Sciences Address: No.50, Qixing Road, Guilin, Guangxi

    Post Code: 541004 Tel: 0773-5812949 7796657 Email: zgyr@mail.cgs.gov.cn; zgyrbjb@163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return