Volume 41 Issue 1
Jan.  2022
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Qiao Xiaoying, Jiang Meng, Ma Shaoyang. Analysis of interaction between lake water and groundwater in beach of Maowusu Lake Basin[J]. Bulletin of Geological Science and Technology, 2022, 41(1): 50-59. doi: 10.19509/j.cnki.dzkq.2021.0088
Citation: Qiao Xiaoying, Jiang Meng, Ma Shaoyang. Analysis of interaction between lake water and groundwater in beach of Maowusu Lake Basin[J]. Bulletin of Geological Science and Technology, 2022, 41(1): 50-59. doi: 10.19509/j.cnki.dzkq.2021.0088

Analysis of interaction between lake water and groundwater in beach of Maowusu Lake Basin

doi: 10.19509/j.cnki.dzkq.2021.0088
  • Received Date: 20 Apr 2021
    Available Online: 02 Mar 2022
  • The interaction between lake water and groundwater is of great significance to the rational development and utilization of water resources. In this paper, based on temperature tracer principle, two methods including of the analytical method and numerical simulation method are used to comprehensively study the interaction between lake water and groundwater with a buried depth of 0-0.4 meters at the lake bed in the beach of Maowusu Lake Basin. In addition, compared with the result by hydrodynamic method. The results show that from May 20 to 28, 2018, the vertical seepage velocity between lake water and groundwater is 2×10-7-1×10-6 m/s, and the seepage velocity at the buried depth is 0.4 m is greater than that at the buried depth of 0.2 m. Precipitation have a certain impact on the results of analytic method, and there is a certain lag in the seepage velocity at the buried depth of 0.4 m. Without less rainfall interference, the results of numerical method and hydrodynamic method are of good agreement, furthermore the results of the three methods are in the same order of magnitude. At the same time, the volume heat capacity and porosity of lake bed sediments have great influence on the results. In the study of interaction between lake water and groundwater in semi-arid areas, numerical simulation is much better choice when the monitoring data are collected completely.

     

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  • [1]
    余忠波. 地下水水文学原理[M]. 北京: 科学出版社, 2008.

    Yu Z B. Principles of groundwater hydrology[M]. Beijing: Science Press, 2008(in Chinese).
    [2]
    袁晓芳, 邓娅敏, 杜尧, 等. 江汉平原高砷地下水稳定碳同位素特征及其指示意义[J]. 地质科技通报, 2020, 39(5): 156-163. doi: 10.19509/j.cnki.dzkq.2021.0008

    Yuan X F, Deng Y M, Du Y, et al. Characteristics of stable carbon isotopes and its implications on arsenic enrichment in shallow groundwater of the Jianghan Plain[J]. Bulletin of Geological Science and Technology, 2020, 39(5): 156-163(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2021.0008
    [3]
    Cartwright K. Tracing shallow groundwater systems by soil temperatures[J]. Water Resources Research, 1974, 10(4): 847-855. doi: 10.1029/WR010i004p00847
    [4]
    Stonestrom D A, Constantz J. Heat as a tool for studying the movement of groundwater near streams[J]. Circular, 2003, 1260: 1-96.
    [5]
    Hatch C E, Fisher A T, Revenaugh J S, et al. Quantifying surface water-groundwater interactions using time series analysis of streambed thermal records: Method development[J]. Water Resources Research, 2006, 42(10): 1-14.
    [6]
    Stallman R W. Steady one-dimensional fluid flow in a semi-infinite porous medium with sinusoidal surface temperature[J]. Journal of Geophysical Research, 1965, 70(12): 2821-2827. doi: 10.1029/JZ070i012p02821
    [7]
    Goto S, Yamano M, Kinoshita M. Thermal response of sediment with vertical fluid flow to periodic temperature variation at the surface[J]. Journal of Geophysical Research: Solid Earth, 2005, 110(B1): 1-11.
    [8]
    Keery J, Binley A, Crook N, et al. Temporal and spatial variability of groundwater-surface water fluxes: Development and application of an analytical method using temperature time series[J]. Journal of Hydrology, 2007, 336(1/2): 1-16.
    [9]
    Mccallum A M, Andersen M S, Rau G C, et al. A 1-D analytical method for estimating surface water-groundwater interactions and effective thermal diffusivity using temperature time series[J]. Water Resources Research, 2012, 48(11): 1-8.
    [10]
    Luce C H, Tonina D, Gariglio F, et al. Solutions for the diurnally forced advection-diffusion equation to estimate bulk fluid velocity and diffusivity in streambeds from temperature time series[J]. Water Resoures, 2013, 49(1): 488-506. doi: 10.1029/2012WR012380
    [11]
    张佳, 霍艾迪, 赛佳美, 等. 基于温度示踪的渭河西咸新区段潜流交换研究[J]. 人民黄河, 2017, 39(10): 66-69. doi: 10.3969/j.issn.1000-1379.2017.10.014

    Zhang J, Huo A D, Sai J M, et al. Hyporheic study of Weihe River in Xixian new zone based on temperature tracer[J]. Yellow River, 2017, 39(10): 66-69(in Chinese with English abstract). doi: 10.3969/j.issn.1000-1379.2017.10.014
    [12]
    葛孟琰, 马瑞, 孙自永, 等. 高寒山区河水与地下水相互作用的温度示踪: 以黑河上游葫芦沟流域为例[J]. 地球科学, 2018, 43(11): 4246-4255. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX201811039.htm

    Ge M Y, Ma R, Sun Z Y, et al. Using heat tracer to estimate river water and groundwater interactions in alpine and cold regions: A case study of Hulugou watershed in upper reach of Heihe River[J]. Earth Science, 2018, 43(11): 4246-4255(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX201811039.htm
    [13]
    Kurylyk B L, Irvine D J, Bense V F. Theory, tools, and multidisciplinary applications for tracing groundwater fluxes from temperature profiles[J]. WIREs Water, 2019, 6(1): 1-23.
    [14]
    廖婷, 邢新丽, 石明明, 等. 神农架大九湖PAHs多介质归趋模拟[J]. 地质科技通报, 2020, 39(5): 148-155. doi: 10.19509/j.cnki.dzkq.2020.0512

    Liao T, Xing X L, Shi M M, et al. Multimedia fate modeling of PAHs in Dajiuhu, Shennongjia[J]. Bulletin of Geological Science and Technology, 2020, 39(5): 148-155(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0512
    [15]
    Gosselin J S, Rivard C, Martel R, et al. Application limits of the interpretation of near-surface temperature time series to assess groundwater recharge[J]. Journal of Hydrology, 2016, 538: 96-108. doi: 10.1016/j.jhydrol.2016.03.055
    [16]
    Lautz L K. Impacts of nonideal field conditions on vertical water velocity estimates from streambed temperature time series[J]. Water Resources Research, 2010, 46(1): 1-14.
    [17]
    Roshan H, Rau G C, Andersen M S, et al. Use of heat as tracer to quantify vertical streambed flow in a two dimensional flow field[J]. Water Resources Research, 2012, 48(10): 1-16.
    [18]
    Kulongoski J T, Izbicki J A. Simulation of fluid, heat transport to estimate desert stream infiltration[J]. Ground Water, 2008, 46(3): 462-474. doi: 10.1111/j.1745-6584.2007.00403.x
    [19]
    Barlow J, Coupe R H. Groundwater and surface-water exchange and resulting nitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi[J]. Journal of Environmental Quality, 2012, 41(1): 155. doi: 10.2134/jeq2011.0087
    [20]
    Russo T A, Fisher A T, Roche J W. Improving riparian wetland conditions based on infiltration and drainage behavior during and after controlled flooding[J]. Journal of Hydrology, 2012, 432/433: 98-111. doi: 10.1016/j.jhydrol.2012.02.022
    [21]
    Ebrahim G Y, Hamonts K, Griensven A, et al. Effect of temporal resolution of water level and temperature inputs on numerical simulation of groundwater-surface water flux exchange in a heavily modified urban river[J]. Hydrological Processes, 2013, 27(11): 1634-1645. doi: 10.1002/hyp.9310
    [22]
    Koch F W, Voytek E B, Day-Lewis F D, et al. 1D TempPro V2: New features for inferring groundwater/surface-water exchange[J]. Groundwater, 2016, 54(3): 434-439. doi: 10.1111/gwat.12369
    [23]
    Su X R, Shu L C, Lu C P. Impact of a low-permeability lens on dune-induced hyporheic exchange[J]. Hydrological Sciences Journal, 2018, 63(5): 818-835. doi: 10.1080/02626667.2018.1453611
    [24]
    Gordon R P, Lautz L K, Briggs M A, et al. Automated calculation of vertical pore-water flux from field temperature time series using the VFLUX method and computer program[J]. Journal of Hydrology, 2012, 420: 142-158.
    [25]
    Healy R W, Ronan A D. Documentation of computer program VS2Dh for simulation of energy transport in variably saturated porous media; modification of the US Geological Survey's computer program VS2DT[J]. EP, 1996, 96: 4230.
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