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 2
Apr.  2024
Turn off MathJax
Article Contents
Article Navigation >  CARSOLOGICA SINICA  > 2024  >  43(2): 302-313
HAN Xiao, WANG Senlin, HE Rui, ZHENG Kexun. Research and application of groundwater level as a water replenishment control signal in the restoration of Lijiang Heilongtan spring group[J]. CARSOLOGICA SINICA, 2024, 43(2): 302-313. doi: 10.11932/karst2024y007
Citation: HAN Xiao, WANG Senlin, HE Rui, ZHENG Kexun. Research and application of groundwater level as a water replenishment control signal in the restoration of Lijiang Heilongtan spring group[J]. CARSOLOGICA SINICA, 2024, 43(2): 302-313. doi: 10.11932/karst2024y007
shu

Research and application of groundwater level as a water replenishment control signal in the restoration of Lijiang Heilongtan spring group

doi: 10.11932/karst2024y007

  • PowerChina Guiyang Engineering Corporation Limited, Guiyang, Guizhou 550081, China

  • Received Date: 2023-06-08
    Available Online: 2024-07-10
    Abstract
  • The paper takes Heilongtan in Lijiang as an example to study the recharge control process of spring water restoration in the karst area. Despite much work on Heilongtan in the previous period, there still exist problems in terms of the spring water restoration of Heilongtan, such as difficulties of detecting recharge sources and of controlling the recharge time, and the high cost of constructing recharge channels. On the basis of the groundwater system theory, and the spatial geographic information and geologic information of Heilongtan spring system, this paper aims to study the restoration of Heilongtan spring group, which may provide a scientific basis for the restoration of karst springs and environmental protection.The Lijiang area, where the study area is located, belongs to the low-latitude plateau monsoon climate zone, with unique mountain monsoon climate characteristics, distinct dry and wet seasons, and significant vertical climate changes, but slight seasonal variations in temperature. Because the Lijiang area is surrounded by the Jinsha River in the west, north and east, deep-cut canyons and a peninsula-like mountainous area protruding northward have been developed. With an elevation of about 2,400 m, a width of 4-5 km from east to west and a length of 32 km from north to south, the Lijiang Basin—a long and narrow mountainous basin—is located in the southern part of the Lijiang Peninsula.The study area is located in the northeast side of the mountainous area of Lijiang Basin, and the Heilongtan spring group is located in the southwest corner of the study area at the foot of Xiangshan hill in the north of the Lijiang ancient city at the east of Lijiang Basin. The study area generally belongs to the alpine mountainous terrain in the dissolution fault block, and the karst in this area is developed. Based on three-dimensional data on basic geological conditions, karst hydrogeological conditions, and characteristics of water balance, seepage field, temperature field, chemical field, etc., connection tests have been conducted to verify that there are two karst groundwater flow systems in the north and south of the study area: Jiuzihai-Lijiangba karst groundwater flow system (Ⅰ) and Hongshuitang-Bailanghua karst groundwater flow system (II). There is no hydraulic connection between these two systems. The Jiuzhihai-Lijiangba karst water flow system (Ⅰ) can be laterally divided into the karst water flow subsystem of Heilongtan spring basin (Ⅰ-1), the karst water flow subsystem of Qingxi spring basin (Ⅰ-2) , and the decentralized groundwater flow system of eastern spring group (Ⅰ-3). These three karst water flow subsystems are self-contained in terms of recharge-runoff-discharge conditions, with weak hydraulic connection, and there is no hydraulic connection between the Jiuzihai recharge area and the Qingxi spring basin and the eastern spring group.Many discharge points in the Heilongtan spring group result to the difficulty in flow observation. At present, only monthly average flow values with low accuracy have been obtained but not in real time; consequently, it is difficult for us to realize the real-time and accurate control of the spring recharge process. Moreover, when the Heilongtan spring group dry up, it is even impossible for us to control the recharge process through the flow data. The observation values of water level per minute in a hydrological observation well near the Heilongtan spring group and the qualitative analysis of geological structure indicate that the hydrological observation well and the spring group are located in the same karst groundwater system. In addition, the high correlation coefficient of 0.8813 between the water level of the hydrological observation well and the flow of the Heilongtan spring group , indicating that it is possible to control the water level of the Heilongtan spring group through the regulation of water level of the hydrological observation well.The Heilongtan spring group consists of four main springs, namely, Lieshimu spring, Wufenglou spring, Zhenzhu spring and Wanshousi spring, and the elevation of each spring is slightly different. The landscape of Heilongtan Park can meet the requirement only if the flow of these four springs is maintained. According to the monitoring data of the Heilongtan spring group, when all of these four springs flow, the overall flow of the Heilongtan spring group is 1.00 m3·s−1, which is also the target flow rate for spring restoration. Based on the actual flow and its change trend of springs, two conditions can be determined: water maintenance and recharge when water is in shortage. Under the condition of water maintenance, the signal of replenishing water should be firstly determined, during which predictors needs to be set given the time of water replenishment. Then, an inversion can be conducted to obtain the water level of hydrological observation well and the flow of the Heilongtan spring group, based on the time when groundwater flows from Jiuzihai to the Heilongtan spring group. When the water level of hydrological observation well drops to 2,409.41 m or the spring flow reduces to 1.27 m3·s−1, the spring water in Jiuzhihai recharge area should be recharged, with water flow of 2.08-2.35 m3·s−1, and the recharge can be lasted to the next flood season in which the rainfall and water discharge achieve an equilibrium again and Jiuzihai is restored. Under the state condition of replenishment when water is in shortage, the spring water in Jiuzhihai recharge area needs to be recharged with the maximum flow rate (greater than the minimum flow rate of recharge), so that the spring flow rate can reach 1.00 m3·s−1 as soon as possible. Then, the spring water can be recharged with a flow rate of 2.08 m3·s−1, so that the groundwater recharge and discharge keep balanced and the spring flow rate maintains 1.00 m3·s−1. The replenishment can be lasted to the next flood season, in which the rainfall and discharge achieve an equilibrium again and the Jiuzhihai is restored for the next recharge.In summary, in order to determine the signal of control well given the time of water recharge and finally carry out the accurate and real-time water recharge based on the water level of observation well as the control signal, the following steps should be completed: formulating the target state of the spring group, corresponding to the water level of replenishment control well, considering the time predictor in the recharge process, and correcting the water level of control well.

     

    • FullText(HTML)
  • loading
    • References(26)
  • [1]
    焦友军, 潘晓东, 曾洁, 任坤. 岩溶管道结构影响泉流量变化的数值模拟研究[J]. 中国岩溶, 2017, 36(5):736-742.

    JIAO Youjun, PAN Xiaodong, ZENG Jie, REN Kun. Numerical modeling of the influence of karst-conduit structure on variation of spring flow[J]. Carsologica Sinica, 2017, 36(5): 736-742.
    [2]
    成建梅, 罗一鸣. 岩溶多重介质地下水模拟技术及应用进展[J]. 地质科技通报, 2022, 41(5):220-229.

    CHENG Jianmei, LUO Yiming. Overview of groundwater modeling technology and its application in karsrt areas with multiple-viod media[J]. Bulletin of Geological Science and Technology, 2022, 41(5): 220-229.
    [3]
    束龙仓, 张颖, 鲁程鹏. 管道—裂隙岩溶含水介质非均质性的水文效应[J]. 南水北调与水利科技, 2013, 11(1):115-121.

    SHU Longcang, ZHANG Ying, LU Chengpeng. Hydrologic effects caused by the heterogeneity of karst conduit–fissure medium[J]. South-to-North Water Transfers and Water Science & Technology, 2013, 11(1): 115-121.
    [4]
    郭高轩, 代垠东, 许亮, 朱琳, 戚琦, 欧志亮, 沈媛媛. 北京市岩溶地下水质量评价及其生态环境效应[J/OL]. 中国地质:1-19[2023-06-07]. http://kns.cnki.net/kcms/detail/11.1167.p.20230602.1348.004.html.

    GUO Gaoxuan, DAI Yindong, XU Liang, ZHU Lin, QI Qi, OU Zhiliang, SHEN Yuanyuan. Evaluation of karst groundwater quality in Beijing and its eco-environmental effects[J/OL]. Geology in China: 1-19[2023-06-07]. http://kns.cnki.net/kcms/detail/11.1167.p.20230602.1348.004.htm
    [5]
    梁永平, 申豪勇, 高旭波. 中国北方岩溶地下水的研究进展[J]. 地质科技通报, 2022, 41(5):199-219.

    LIANG Yongping, SHEN Haoyong, GAO Xubo. Review of research progress of karst groundwater in Northern China[J]. Bulletin of Geological Science and Technology, 2022, 41(5): 199-219.
    [6]
    张恒, 周忠发, 黄静, 朱粲粲, 丁圣君, 石亮星, 董慧. 岩溶洞穴滴水δ13CDIC季节变化特征及其环境意义[J]. 环境科学与技术, 2022, 45(5):135-144.

    ZHANG Heng, ZHOU Zhongfa, HUANG Jing, ZHU Cancan, DING Shengjun, SHI Liangxing, DONG Hui. Seasonal variation characteristics of δ13CDIC of drip water in karst caveand environmental significance[J]. Environmental Science & Technology, 2022, 45(5): 135-144.
    [7]
    尚海龙, 蒋焕洲, 徐宏, 史正涛. 岩溶山区城市饮用水源地生态环境脆弱性评价:以凯里市水源地为例[J]. 中国农村水利水电, 2019, 446(12):105-109, 114.
    [8]
    林坜, 雷晓东, 杨峰. 地下水资源评价方法—水量均衡法的探讨[J]. 北京水务, 2011, 156(2):41-44. doi: 10.3969/j.issn.1673-4637.2011.02.012
    [9]
    杜玉娇, 何新林, 杨广, 王志伟, 黄丹, 王薇. 水均衡法评价玛纳斯河流域莫索湾灌区地下水资源[J]. 中国农村水利水电, 2012, 359(9):63-65.

    DU Yujiao, HE Xinlin, YANG Guang, WANG Zhiwei, HUANG Dan, WANG Wei. An evaluation of groundwater resources of Mosuowan irrigation district of the Manas river by using the water balance[J]. China Rural Water and Hydropower, 2012, 359(9): 63-65.
    [10]
    赵一, 邹胜章, 申豪勇, 周长松, 樊连杰, 朱丹尼, 李军. 会仙湿地岩溶地下水系统水位动态特征与均衡分析[J]. 中国岩溶, 2021, 40(2):325-333. doi: 10.11932/karst2021y19

    ZHAO Yi, ZOU Shengzhang, SHEN Haoyong, ZHOU Changsong, FAN Lianjie, ZHU Danni, LI Jun. Dynamic characteristics and equilibrium of water level of the karst groundwater system beneath the Huixian wetland[J]. Carsologica Sinica, 2021, 40(2): 325-333. doi: 10.11932/karst2021y19
    [11]
    郑克勋, 刘建刚. 多元连通示踪试验研究地下水流场的一个工程实例[J]. 贵州水力发电, 2009, 23(4):63-68. doi: 10.3969/j.issn.1007-0133.2009.04.019

    ZHENG Kexun, LIU Jiangang. A project example of studying underground flow field with multivariate communicating tracing experiment[J]. Guizhou Hydropower, 2009, 23(4): 63-68. doi: 10.3969/j.issn.1007-0133.2009.04.019
    [12]
    康晓波, 王宇, 张华, 曹瑾. 丽江黑龙潭泉群水文地质特征及断流的影响因素分析[J]. 中国岩溶, 2013, 32(4):398-403.

    KANG Xiaobo, WANG Yu, ZHANG Hua, CAO Jin. Hydrogeologic features and influence factors of zero flow of the Heilongtan spring group in Lijiang[J]. Carsologica Sinica, 2013, 32(4): 398-403.
    [13]
    李豫馨. 基于时间序列分析的丽江黑龙潭泉域动态研究[D]. 成都:成都理工大学, 2016.

    LI Yuxin. Dynamic research of the Lijiang Heilongtan spring system based on the time series analysis[D]. Chengdu: Chengdu University of Technology, 2016.
    [14]
    李豫馨, 许模, 高伟, 漆继红. 基于时间序列方法预测丽江黑龙潭泉域流量[J]. 人民珠江, 2016, 37(3):6-9. doi: 10.3969/j.issn.1001-9235.2016.03.002

    LI Yuxin, XU Mo, GAO Wei, QI Jihong. Application of time series analysis to prediction of flow in Heilongtan spring group in Lijiang river[J]. Pearl River, 2016, 37(3): 6-9. doi: 10.3969/j.issn.1001-9235.2016.03.002
    [15]
    雷风平, 王锦国, 赵燕容, 陈长生, 黄华, 周云. 丽江市黑龙潭地区水文地质条件分析[J]. 中国煤炭地质, 2019, 31(4):51-56, 67. doi: 10.3969/j.issn.1674-1803.2019.04.11

    LEI Fengping, WANG Jingguo, ZHAO Yanrong, CHEN Changsheng, HUANG Hua, ZHOU Yun. Hydrogeological condition analysis in Heilongtan area, Lijiang City[J]. Coal Geology of China, 2019, 31(4): 51-56, 67. doi: 10.3969/j.issn.1674-1803.2019.04.11
    [16]
    韩啸, 陈鑫, 郑克勋, 刘胜. 示踪试验在岩溶大泉修复中的应用:以丽江黑龙潭为例[J]. 中国岩溶, 2019, 38(4):524-531. doi: 10.11932/karst20190408

    HAN Xiao, CHEN Xin, ZHENG Kexun, LIU Sheng. Application of the tracer test in karst hydrogeological prospecting: An example of Heilongtan, Lijiang, Yunnan[J]. Carsologica Sinica, 2019, 38(4): 524-531. doi: 10.11932/karst20190408
    [17]
    和菊芳, 方金鑫. 丽江黑龙潭泉水动态变化与降水关系初探[J]. 中国农村水利水电, 2019(8):26-27, 35. doi: 10.3969/j.issn.1007-2284.2019.08.006
    [18]
    李恒丽, 李保珠. 基于人工神经网络模型的丽江黑龙潭泉群断流预测[J]. 中国水运, 2020(7):149-152.
    [19]
    覃绍媛, 李泽琴, 许模. 黑龙潭泉域地下水化学特征及补给源识别[J]. 人民黄河, 2020, 42(3):63-67. doi: 10.3969/j.issn.1000-1379.2020.03.012

    QIN Shaoyuan, LI Zeqin, XU Mo. Groundwater chemical charateristics and recharge source identification of Heilongtan spring area[J]. Yellow River, 2020, 42(3): 63-67. doi: 10.3969/j.issn.1000-1379.2020.03.012
    [20]
    金速, 张静, 王咏林. 辽宁省地下水动态成因类型分析[J]. 城市地质, 2016, 11(2):64-68.

    JIN Su, ZHANG Jing, WANG Yonglin. The genetic type of groundwater dynamic change in Liaoning Province[J]. Urban Geology, 2016, 11(2): 64-68.
    [21]
    Huyck A A O, Pauwels V R N, Verhoest N E C. A base flow separation algorithm based on the linearized Boussinesq equation for complex hillslopes[J]. Water Resources Research, 2005, 41: W08415.
    [22]
    Smakhtin V U, Batchelor A L. Evaluating wetland flow regulating functions using discharge time-series[J]. Hydrological Processes, 2005, 19(6): 1293-1305. doi: 10.1002/hyp.5555
    [23]
    齐欢, 董梦宇. 基于小波分析的趵突泉地下水补给范围探讨[J]. 中国岩溶, 2023, 42(5):1037-1046. doi: 10.11932/karst20230512

    QI Huan, DONG Mengyu. A study on the groundwater recharge range of Baotu Spring based on wavelet analysis[J]. Carsologica Sinica, 2023, 42(5): 1037-1046. doi: 10.11932/karst20230512
    [24]
    孙斌, 邢立亭, 彭玉明, 李常锁. 济南十大泉群特征、形成模式及水循环差异性浅析[J]. 中国岩溶, 2021, 40(3):409-419.

    SUN Bin, XING Liting, PENG Yuming, LI Changsuo. Characteristics, formation models and water cycle differences of ten major spring groups in Jinan City[J]. Carsologica Sinica, 2021, 40(3): 409-419.
    [25]
    郭永丽, 章程, 吴庆, 全洗强. 基于文献计量学分析岩溶水文地质学研究热点[J]. 中国岩溶, 2020, 39(6):817-828. doi: 10.11932/karst2020y13

    GUO Yongli, ZHANG Cheng, WU Qing, QUAN Xiqiang. Analysis of focused topics in karst hydrogeology research based on bibliometrics[J]. Carsologica Sinica, 2020, 39(6): 817-828. doi: 10.11932/karst2020y13
    [26]
    杨杨, 赵良杰, 潘晓东, 夏日元, 曹建文. 西南岩溶山区地下水资源评价方法对比研究:以寨底地下河流域为例[J]. 中国岩溶, 2022, 41(1):111-123. doi: 10.11932/karst20220106

    YANG Yang, ZHAO Liangjie, PAN Xiaodong, XIA Riyuan, CAO Jianwen. Comparative study on evaluation methods of groundwater resources in karst area of Southwest China: Taking Zhaidi underground river basin as an example[J]. Carsologica Sinica, 2022, 41(1): 111-123. doi: 10.11932/karst20220106
    • 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(4296.0KB)
    XML

    Article Metrics

    Article views (61) PDF downloads(41) 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