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 43 Issue 4
Oct.  2024
Turn off MathJax
Article Contents
Article Navigation >  CARSOLOGICA SINICA  > 2024  >  43(4): 843-853
WANG Ying, SONG Xiaoqing, WANG Fei, PENG Qin, CAO Zhendong, PU Xiuchao. Response characteristics of groundwater level dynamics to precipitation based on continuous wavelet-cross correlation analysis: A case study of the Guiyang karst basin[J]. CARSOLOGICA SINICA, 2024, 43(4): 843-853. doi: 10.11932/karst20240410
Citation: WANG Ying, SONG Xiaoqing, WANG Fei, PENG Qin, CAO Zhendong, PU Xiuchao. Response characteristics of groundwater level dynamics to precipitation based on continuous wavelet-cross correlation analysis: A case study of the Guiyang karst basin[J]. CARSOLOGICA SINICA, 2024, 43(4): 843-853. doi: 10.11932/karst20240410
shu

Response characteristics of groundwater level dynamics to precipitation based on continuous wavelet-cross correlation analysis: A case study of the Guiyang karst basin

doi: 10.11932/karst20240410
  • 1.

    111 Geological Brigade of Guizhou Geological and Mineral Exploration and Development Bureau, Guiyang, Guizhou 550008, China

  • 2.

    Guizhou Geological Engineering Investigation, Design and Research Institute Co., Ltd., Guiyang, Guizhou 550008, China

  • 3.

    School of Environmental Studies, China University of Geosciences (Wuhan), Wuhan, Hubei 430078, China

  • 4.

    Guiyang Public Transport Investment and Operation Group Co., Ltd., Guiyang, Guizhou 550081, China

  • Received Date: 2023-05-25
  • Accepted Date: 2023-10-08
  • Rev Recd Date: 2023-08-22
    Abstract
  • Precipitation is the main source of water supply for most groundwater systems; therefore, its spatiotemporal distributions will, to some extent, determine the dynamic characteristics of groundwater levels. Hence, conducting research on groundwater level dynamics is of great significance for the sustainable development and utilization of groundwater resources, regulation and management of surface–groundwater resources, and determination of floating resistance and anti-floating water levels in engineering construction. The Guiyang karst basin is located within the construction scope of the main urban area of Guiyang City. In order to further understand the nonlinear process of groundwater level dynamics in the karst basin area, and help improve the management of groundwater resources in this area, we collected the observation data and precipitation data of seven observation points of groundwater levels in the Guiyang karst basin in different periods from 2007 to 2021. Besides, to analyze the groundwater level dynamics on different time scales and the response of the dynamics to precipitation in the Guiyang karst basin, we adopted the continuous wavelet analysis that can quantitatively judge the periodicity of precipitation and groundwater levels, and the correlation analysis that can quantitatively calculate the lag relationship between groundwater and precipitation. The results show as follows. (1) According to the groundwater level data from monitoring holes in the study area, the water level variations of the monitoring holes located inside the Guiyang karst basin is relatively small, with a maximum annual water level variations of about 2–7 m, because this basin, featuring relatively flat terrain, is a discharge area of the groundwater system. The edge of the Guiyang karst basin is controlled by the terrain and topography, with significant undulations. The water levels of monitoring holes located at the edge of the basin vary greatly, with the maximum variations of water level about 10–20 m over the years. In terms of the continuous wavelet transform analysis of the response characteristics of groundwater levels to precipitation in the study area, it can be concluded that the main oscillation period of precipitation is 256–512 days, which passed 95% of the red noise tests from January 2008 to January 2017, indicating significant periodic characteristics. Due to the influence of hydrogeological conditions and human activities around monitoring holes, the oscillation periods of different observation points varied. However, the groundwater level dynamics in the Guiyang karst basin were significantly controlled by precipitation, showing discontinuous and short oscillation periods in high-frequency areas, with an overall main oscillation period of 256 to 512 days. (2) In the study area, there is a significant time lag between groundwater level variation and precipitation. That is, the longer a groundwater runoff distance is, the more hysteretic the response of groundwater level to precipitation becomes. The groundwater level variation in the runoff–discharge area lags behind precipitation by 2.66–7.7 days, by 1.25–8.04 days in the discharge area. Because the regional hydrogeological conditions of the two groundwater systems in the study area are different, the responses of the two groundwater systems in the north and south to precipitation are also different. In the southern groundwater system, the time lag of the response of groundwater level variations to precipitation gradually increases from the runoff–discharge area to the discharge area. In the northern groundwater system, due to the effect of the long-distance precipitation recharge from upstream, the groundwater level of runoff–discharge area changes more slowly than that of discharge area with multiple sources of recharge.

     

    • FullText(HTML)
  • loading
    • References(26)
  • [1]
    祁晓凡, 李文鹏, 李海涛, 杨丽芝. 济南岩溶泉域地下水位、降水、气温与大尺度气象模式的遥相关[J]. 水文地质工程地质, 2015, 42(6):18-28.

    QI Xiaofan, LI Wenpeng, LI Haitao, YANG Lizhi. Teleconnections between groundwater levels, precipitation, air temperature of the Jinan karst springs watershed and large scale climatic patterns[J]. Hydrogeology & Engineering Geology, 2015, 42(6): 18-28.
    [2]
    项彩娟, 陈植华, 王涛, 黄荷, 孙帮涛, 王勇. 基于小波分析的滇东北毛坪铅锌矿充水水源识别[J]. 地质科技情报, 2019, 38(6):231-240.

    XIANG Caijuan, CHEN Zhihua, WANG Tao, HUANG He, SUN Bangtao, WANG Yong. Recognition of water source of Maoping lead-zinc mine in northeast Yunnan based on wavelet analysis[J]. Geological Science and Technology Information, 2019, 38(6): 231-240.
    [3]
    杨怀德, 冯起, 郭小燕, 李勇进, 黄珊, 李会亚. 基于回归模型预测的民勤绿洲地下水位动态驱动因子分析[J]. 干旱区资源与环境, 2017, 31(2):98-103. doi: 10.13448/j.cnki.jalre.2017.051

    YANG Huaide, FENG Qi, GUO Xiaoyan, LI Yongjin, HUANG Shan, LI Huiya. Analysis on the variation of groundwater level and its influence factors in Minqin oasis based on the regression model[J]. Journal of Arid Land Resources and Environment, 2017, 31(2): 98-103. doi: 10.13448/j.cnki.jalre.2017.051
    [4]
    李平, 卢文喜, 杨忠平. 频谱分析法在吉林西部地下水动态预报中的应用[J]. 水文地质工程地质, 2005, 32(4):70-73.

    LI Ping, LU Wenxi, YANG Zhongping. Application of spectrum analysis method to the prediction of groundwater regime in west Jilin Province[J]. Hydrogeology & Engineering Geology, 2005, 32(4): 70-73.
    [5]
    Yang Y S, Li Y Y, Cui D H. Identification of karst features with spectral analysis on the seismic reflection data[J]. Environmental Earth Sciences, 2014, 71(2): 753-761. doi: 10.1007/s12665-013-2477-x
    [6]
    郭琳, 宫辉力, 朱锋, 郭小萌, 周超凡, 邱琳. 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.

    GUO Lin, GONG Huili, ZHU Feng, GUO Xiaomeng, ZHOU Chaofan, QIU Lin. Cyclical characteristics of groundwater level and precipitation based on wavelet analysis[J]. Geography and Geo-Information Science, 2014, 30(2): 35-38.
    [7]
    桑燕芳, 王中根, 刘昌明. 小波分析方法在水文学中的研究应用现状及展望[J]. 地理科学进展, 2013, 32(9):1413-1422.

    SANG Yanfang, WANG Zhonggen, LIU Changming. Applications of wavelet analysis to hydrology: Status and prospects[J]. Progress in Geography, 2013, 32(9): 1413-1422.
    [8]
    祁晓凡, 王雨山, 杨丽芝, 刘中业, 王玮, 李文鹏. 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.

    QI Xiaofan, WANG Yushan, YANG Lizhi, LIU Zhongye, WANG Wei, LI Wenpeng. Time lags variance of groundwater level response to precipitation of Jinan karst spring watershed in recent 50 years[J]. Carsologica Sinica, 2016, 35(4): 384-393.
    [9]
    邵骏. 基于交叉小波变换的水文多尺度相关分析[J]. 水力发电学报, 2013, 32(2):22-26, 42.

    SHAO Jun. Multi-scale correlation analysis of hydrological time series based on cross wavelet transform[J]. Journal of Hydroelectric Engineering, 2013, 32(2): 22-26, 42.
    [10]
    Wu D D, Di C L, Wang T J, Wang L C, Chen X. Characterization of the coherence between soil moisture and precipitation at regional scales[J]. Journal of Geophysical Research: Atmospheres, 2021, 126(8): e2020JD034340. doi: 10.1029/2020JD034340
    [11]
    Yang T, Wang G. Periodic variations of rainfall, groundwater level and dissolved radon from the perspective of wavelet analysis: A case study in Tengchong, Southwest China[J]. Environmental Earth Sciences, 2021, 80(15): 492. doi: 10.1007/s12665-021-09785-2
    [12]
    Drago A F, Boxall S R. Use of the wavelet transform on hydro-meteorological data[J]. Physics & Chemistry of the Earth, 2002, 27(32): 1387-1399.
    [13]
    王朋辉, 姜光辉, 袁道先, 汤庆佳, 张强. 岩溶地下水位对降雨响应的时空变异特征及成因探讨:以广西桂林甑皮岩为例[J]. 水科学进展, 2019, 30(1):56-64. doi: 10.14042/j.cnki.32.1309.2019.01.006

    WANG Penghui, JIANG Guanghui, YUAN Daoxian, TANG Qingjia, ZHANG Qiang. Characteristics and cause of spatial and temporal variability of karst groundwater level's response to rainfall: A case study of Zengpiyan cave site in Guilin, Guangxi, China[J]. Advances in Water Science, 2019, 30(1): 56-64. doi: 10.14042/j.cnki.32.1309.2019.01.006
    [14]
    祁晓凡, 李文鹏, 杨丽芝, 尚浩, 伊飞. 济南白泉泉域地下水位动态对降水响应的年内时滞分析[J]. 地球与环境, 2015, 43(6):619-627. doi: 10.14050/j.cnki.1672-9250.2015.06.004

    QI Xiaofan, LI Wenpeng, YANG Lizhi, SHANG Hao, YI Fei. The lag analysis of groundwater level anomalies to precipitation anomaly of Jinan Baiquan springs watershed[J]. Earth and Environment, 2015, 43(6): 619-627. doi: 10.14050/j.cnki.1672-9250.2015.06.004
    [15]
    齐欢. 济南市趵突泉与白泉地下水位相关性研究[J]. 水文, 2020, 40(4):79-84, 32.

    QI Huan. Study on correlation between groundwater level of Baotuquan Spring and Baiquan spring in Jinan City[J]. Journal of China Hydrology, 2020, 40(4): 79-84, 32.
    [16]
    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.

    QI Xiaofan, JIANG Zhoncheng, LUO Weiqun. Cross wavelet analysis of relationship between precipitation and spring discharge of a typical epikarst water system[J]. Earth and Environment, 2012, 40(4): 561-567.
    [17]
    祁晓凡, 杨丽芝, 韩晔, 尚浩, 邢立亭. 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.

    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[J]. Advances in Earth Science, 2012, 27(9): 969-978.
    [18]
    凤蔚, 祁晓凡, 李海涛, 李文鹏, 殷秀兰. 雄安新区地下水水位与降水及北太平洋指数的小波分析[J]. 水文地质工程地质, 2017, 44(6):1-8.

    FENG Wei, QI Xiaofan, LI Haitao, LI Wenpeng, YIN Xiulan. Wavelet analysis between groundwater level regimes and precipitation, North Pacific Index in the Xiongan New Area[J]. Hydrogeology & Engineering Geology, 2017, 44(6): 1-8.
    [19]
    齐欢. 玉符河流域地下水位与降水量的时滞分析[J]. 科学技术与工程, 2019, 19(35):54-60. doi: 10.3969/j.issn.1671-1815.2019.35.008

    QI Huan. Time lag analysis of groundwater level and precipitation in Yufu river basin[J]. Science Technology and Engineering, 2019, 19(35): 54-60. doi: 10.3969/j.issn.1671-1815.2019.35.008
    [20]
    李严, 王家乐, 靳孟贵, 马河宽, 柳浩然, 彭涛. 运用水文时间序列分析识别济南泉域岩溶发育特征[J]. 地球科学, 2021, 46(7):2583-2593.

    LI Yan, WANG Jiale, JIN Menggui, MA Hekuan, LIU Haoran, PENG Tao. Hydrodynamic characteristics of Jinan karst spring system identified by hydrologic time-series data[J]. Earth Science, 2021, 46(7): 2583-2593.
    [21]
    齐欢. 平阴岩溶地下水位与降水量, 黄河水位的相关性分析[J]. 灌溉排水学报, 2019, 38(7):94-100.

    QI Huan. Responsive change in groundwater table in karst to precipitation and Yellow River in Pingyin county[J]. Journal of Irrigation and Drainage, 2019, 38(7): 94-100.
    [22]
    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: 561-566.
    [23]
    孙劲松, 陈国雄, 刘天佑. 基于改进Morlet小波的MP算法在地震频谱分析中的应用[J]. 地质科技情报, 2011, 30(5):119-122.

    SUN Jingsong, CHEN Guoxiong, LIU Tianyou. MP algorithm based on improved morlet wavelet in the seismic spectrum analysis[J]. Geological Science and Technology Information, 2011, 30(5): 119-122.
    [24]
    Katsanou K, Lambrakis N, Tayfur G, Baba A, Describing the karst evolution by the exploitation of hydrologic time-series data[J]. Water Resources Management, 2015, 29(9): 3131-3147.
    [25]
    Fiorillo F, Doglioni A. The relation between karst spring discharge and rainfall by cross-correlation analysis (Campania, Southern Italy)[J]. Hydrogeology Journal, 2010, 18(8): 1881-1895. doi: 10.1007/s10040-010-0666-1
    [26]
    Torrence C, Compo G P. A practical guide to wavelet analysis[J]. Bulletin of the American Meteorological Society, 1988, 79(1): 61-78.
    • 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(5100.0KB)
    XML

    Article Metrics

    Article views (32) PDF downloads(6) 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