Controlling factors identification of groundwater system evolution based on numerical simulation in the typical arid-inland basin

YU Xiaolu; SONG Jian; LIN Jin; WU Jianfeng; WU Jichun

doi:10.16030/j.cnki.issn.1000-3665.202111044

2022 Vol. 49, No. 6

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Article navigation > Hydrogeology & Engineering Geology > 2022 > 49(6): 24-33

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YU Xiaolu, SONG Jian, LIN Jin, WU Jianfeng, WU Jichun. Controlling factors identification of groundwater system evolution based on numerical simulation in the typical arid-inland basin[J]. Hydrogeology & Engineering Geology, 2022, 49(6): 24-33. doi: 10.16030/j.cnki.issn.1000-3665.202111044

Citation:

YU Xiaolu, SONG Jian, LIN Jin, WU Jianfeng, WU Jichun. Controlling factors identification of groundwater system evolution based on numerical simulation in the typical arid-inland basin[J]. Hydrogeology & Engineering Geology, 2022, 49(6): 24-33. doi: 10.16030/j.cnki.issn.1000-3665.202111044

Controlling factors identification of groundwater system evolution based on numerical simulation in the typical arid-inland basin

1.
School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu　210023, China
2.
Nanjing Hydraulic Research Institute, Nanjing, Jiangsu　210029, China

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Corresponding author: WU Jianfeng, jfwu@nju.edu.cn

Received Date: 16 November 2021

Revised Date: 25 December 2021

Publish Date: 15 November 2022

Abstract

Abstract

Groundwater resource is the basic power for the socio-economic development of arid-inland basins, and is also the major factor affecting the ecological environment of the Huangqihai Lake. As a typical study area of arid-inland basins, with the lowering of groundwater levels in recent years, the total area of the Huangqihai Lake decreases and even faces the risk of drying up. To quantitatively analyze the spatial-temporal evolution of groundwater resources in the Huangqihai Basin and the transformation relationship between lake water and groundwater, a numerical simulation model of groundwater flow in the Huangqihai Basin is established. The model is calibrated and validated by using long-term observation data from 2010 to 2016. The simulation results show that the accumulative deficit of groundwater storage in the Huangqihai Basin is 1.5×10⁸ m³ from 2010 to 2016, and over-exploitation of groundwater is the critical reason for the negative water balance in this area. The Sobol method is used to identify the controlling factors affecting the changes of groundwater resources in this area. The sensitivity of eight main parameters affecting the groundwater system is evaluated by using four objective functions: lake stage, lake leakage, groundwater storage and groundwater discharge to lake. There are significant differences in sensitivity analysis results of model parameters under different objective functions. The first two functions are significantly affected by the horizontal permeability and lake leakage rate, while the last two are mainly affected by exploitation and recharge from precipitation and irrigation. It is proved that the influence of over-exploitation of groundwater is the main controlling factor of the depletion of water resources and shrinking of lake area in the Huangqihai Basin. The results of this study can provide technical support and scientific decision making for the sustainable utilization of groundwater resources and the protection of surrounding ecological environment in the Huangqihai Basin.
- numerical simulation /
- water balance /
- global sensitivity analysis /
- controlling factors /
- Huangqihai Basin

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References

[1]	LALL U, JOSSET L, RUSSO T. A snapshot of the world’s groundwater challenges[J]. Annual Review of Environment and Resources,2020,45:171 − 194. doi: 10.1146/annurev-environ-102017-025800 CrossRef Google Scholar
[2]	周爱国, 马瑞, 张晨. 中国西北内陆盆地水分垂直循环及其生态学意义[J]. 水科学进展,2005,16(1):127 − 133. [ZHOU Aiguo, MA Rui, ZHANG Chen. Vertical water cycle and its ecological effect in inland basins, Northwest China[J]. Advances in Water Science,2005,16(1):127 − 133. (in Chinese with English abstract) doi: 10.3321/j.issn:1001-6791.2005.01.023 CrossRef Google Scholar
[3]	胡汝骥, 樊自立, 王亚俊, 等. 中国西北干旱区的地下水资源及其特征[J]. 自然资源学报,2002,17(3):321 − 326. [HU Ruji, FAN Zili, WANG Yajun, et al. Groundwater resources and their characteristics in arid lands of Northwestern China[J]. Journal of Natural Resources,2002,17(3):321 − 326. (in Chinese with English abstract) doi: 10.3321/j.issn:1000-3037.2002.03.012 CrossRef Google Scholar
[4]	张建云, 贺瑞敏, 齐晶, 等. 关于中国北方水资源问题的再认识[J]. 水科学进展,2013,24(3):303 − 310. [ZHANG Jianyun, HE Ruimin, QI Jing, et al. A new perspective on water issues in North China[J]. Advances in Water Science,2013,24(3):303 − 310. (in Chinese with English abstract) Google Scholar
[5]	CHEN M M, LIU J G. Historical trends of wetland areas in the agriculture and pasture interlaced zone:A case study of the Huangqihai Lake Basin in Northern China[J]. Ecological Modelling,2015,318:168 − 176. doi: 10.1016/j.ecolmodel.2014.12.012 CrossRef Google Scholar
[6]	薛禹群, 吴吉春. 地下水数值模拟在我国—回顾与展望[J]. 水文地质工程地质,1997,24(4):21 − 24. [XUE Yuqun, WU Jichun. Review and prospect of groundwater numerical simulation in China[J]. Hydrogeology & Engineering Geology,1997,24(4):21 − 24. (in Chinese) Google Scholar
[7]	吴剑锋, 朱学愚. 由MODFLOW浅谈地下水流数值模拟软件的发展趋势[J]. 工程勘察,2000(2):12 − 15. [WU Jianfeng, ZHU Xueyu. Development trend of numerical simulation software for subsurface flow from MODFLOW[J]. Geotechnical Investigation & Surveying,2000(2):12 − 15. (in Chinese with English abstract) Google Scholar
[8]	WEIX L, BAILEY R T, RECORDS R M, et al. Comprehensive simulation of nitrate transport in coupled surface-subsurface hydrologic systems using the linked SWAT-MODFLOW-RT3D model[J]. Environmental Modelling & Software,2019,122:104242. Google Scholar
[9]	王庆永, 贾忠华, 刘晓峰, 等. Visual_MODFLOW及其在地下水模拟中的应用[J]. 水资源与水工程学报,2007,18(5):90 − 92. [WANG Qingyong, JIA Zhonghua, LIU Xiaofeng, et al. Visual MODFLOW and its application to groundwater simulation[J]. Journal of Water Resources and Water Engineering,2007,18(5):90 − 92. (in Chinese with English abstract) doi: 10.3969/j.issn.1672-643X.2007.05.023 CrossRef Google Scholar
[10]	ZHANG D, YANG Y, WU J F, et al. Global sensitivity analysis on a numerical model of seawater intrusion and its implications for coastal aquifer management:A case study in Dagu River Basin, Jiaozhou Bay, China[J]. Hydrogeology Journal,2020,28(7):2543 − 2557. doi: 10.1007/s10040-020-02219-6 CrossRef Google Scholar
[11]	孟世豪,崔亚莉,田芳,等. 基于MODFLOW-SUB建立变渗透系数的地下水流-地面沉降模型[J]. 吉林大学学报(地球科学版),2022,52(2):550 − 559. [MENG Shihao, CUI Yali, TIAN Fang, et al. Modeling of groundwater flow-land subsidence with variable hydraulic conductivity based on MODFLOW-SUB[J]. Journal of Jilin University (Earth Science Edition),2022,52(2):550 − 559. (in Chinese with English abstract) Google Scholar
[12]	SALTELLI A K, CHAN K, SCOTT E M. Sensitivity Analysis [M]. NewYork: Wiley, 2000. Google Scholar
[13]	吴吉春, 陆乐. 地下水模拟不确定性分析[J]. 南京大学学报(自然科学版),2011,47(3):227 − 234. [WU Jichun, LU Le. Uncertainty analysis for groundwater modeling[J]. Journal of Nanjing University (Natural Sciences),2011,47(3):227 − 234. (in Chinese with English abstract) Google Scholar
[14]	FREY H C, PATIL S R. Identification and review of sensitivity analysis methods[J]. Risk Analysis,2002,22(3):553 − 578. doi: 10.1111/0272-4332.00039 CrossRef Google Scholar
[15]	BEVEN K. Prophecy, reality and uncertainty in distributed hydrological modelling[J]. Advances in Water Resources,1993,16(1):41 − 51. doi: 10.1016/0309-1708(93)90028-E CrossRef Google Scholar
[16]	束龙仓, 王茂枚, 刘瑞国, 等. 地下水数值模拟中的参数灵敏度分析[J]. 河海大学学报(自然科学版),2007,35(5):491 − 495. [SHU Longcang, WANG Maomei, LIU Ruiguo, et al. Sensitivity analysis of parameters in numerical simulation of groundwater[J]. Journal of Hohai University (Natural Sciences),2007,35(5):491 − 495. (in Chinese with English abstract) Google Scholar
[17]	WU J C, ZENG X K. Review of the uncertainty analysis of groundwater numerical simulation[J]. Chinese Science Bulletin,2013,58(25):3044 − 3052. doi: 10.1007/s11434-013-5950-8 CrossRef Google Scholar
[18]	LIU J G, LIU Q Y, YANG H. Assessing water scarcity by simultaneously considering environmental flow requirements, water quantity, and water quality[J]. Ecological Indicators,2016,60:434 − 441. doi: 10.1016/j.ecolind.2015.07.019 CrossRef Google Scholar
[19]	SALTELLI A, TARANTOLA S, CHAN K P S. A quantitative model-independent method for global sensitivity analysis of model output[J]. Technometrics,1999,41(1):39 − 56. doi: 10.1080/00401706.1999.10485594 CrossRef Google Scholar
[20]	SALTELLI A, RATTO M, ANDRES T, et al. Global sensitivity analysis: The primer[M]. Hoboken: John Wiley& SonsLtd, 2008. Google Scholar
[21]	郑菲, 施小清, 吴吉春, 等. 深部咸水层CO₂地质封存数值模拟参数的全局敏感性分析—以苏北盆地盐城组为例[J]. 吉林大学学报(地球科学版),2014,44(1):310 − 318. [ZHENG Fei, SHI Xiaoqing, WU Jichun, et al. Global parametric sensitivity analysis of numerical simulation for CO₂ geological sequestration in saline aquifers:A case study of Yancheng formation in Subei Basin[J]. Journal of Jilin University (Earth Science Edition),2014,44(1):310 − 318. (in Chinese with English abstract) Google Scholar
[22]	SOBOL I M. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates[J]. Mathematics and Computers in Simulation,2001,55(1/2/3):271 − 280. Google Scholar
[23]	WU B, ZHENG Y, TIAN Y, et al. Systematic assessment of the uncertainty in integrated surface water-groundwater modeling based on the probabilistic collocation method[J]. Water Resources Research,2014,50(7):5848 − 5865. doi: 10.1002/2014WR015366 CrossRef Google Scholar
[24]	罗跃, 叶淑君, 吴吉春, 等. 地面沉降模型的参数全局敏感性[J]. 浙江大学学报(工学版),2018,52(10):2007 − 2013. [LUO Yue, YE Shujun, WU Jichun, et al. Global sensitivity analysis of parameters in land subsidence model[J]. Journal of Zhejiang University (Engineering Science),2018,52(10):2007 − 2013. (in Chinese with English abstract) doi: 10.3785/j.issn.1008-973X.2018.10.021 CrossRef Google Scholar