Research on numerical simulation of the groundwater funnels restoration in Shijiazhuang

GUO Chun-yan; CUI Ya-li; LIU Wen-na; CUI Xiang-xiang; FEI Yu-hong

doi:10.19637/j.cnki.2305-7068.2018.02.006

Volume 6 Issue 2

Jun. 2018

Turn off MathJax

Article Contents

Article Navigation > Journal of Groundwater Science and Engineering > 2018 > 6(2): 126-135

GUO Chun-yan, CUI Ya-li, LIU Wen-na, et al. 2018: Research on numerical simulation of the groundwater funnels restoration in Shijiazhuang. Journal of Groundwater Science and Engineering, 6(2): 126-135. doi: 10.19637/j.cnki.2305-7068.2018.02.006

Citation:

GUO Chun-yan, CUI Ya-li, LIU Wen-na, et al. 2018: Research on numerical simulation of the groundwater funnels restoration in Shijiazhuang. Journal of Groundwater Science and Engineering, 6(2): 126-135. doi: 10.19637/j.cnki.2305-7068.2018.02.006

Citation:

PDF( 1978 KB)

Research on numerical simulation of the groundwater funnels restoration in Shijiazhuang

doi: 10.19637/j.cnki.2305-7068.2018.02.006

1Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China.2China University of Geosciences (Beijing), Beijing 100083, China.

Publish Date: 2018-06-28

Abstract

Abstract

In order to simulate the recovery of groundwater funnels under the condition of reducing groundwater abstraction, hydrogeological conditions of recoverability construction of Shijiazhuang groundwater funnel were analyzed, and a numerical simulation method was used based on the change of various parameters. The results show that the groundwater flow model can accurately reflect groundwater hydrogeological characteristics, and can guarantee the reliability of groundwater restoration prediction. The research has set up four schemes for rural water-saving, planting structure adjustment, urban reducing abstraction and integrated method. The effect of four restoration schemes on the restoration of groundwater funnels was compared with water table variations of two observation well. Comparison results show that the level changes of plan Three and Four are different from the other two kinds of exploitation and the drop trend of water table in the funnel area is flat. So we can conclude that Plan Three and Four have significant effect on the groundwater funnel restoration of Shijiazhuang.

FullText(HTML)

References(22)

References

DU Shou-ying, YUAN Wen-zhen, et al. 2013. Impacts of water table recovery by reducing groundwater abstraction on underground project safety in Shenyang City. China Rural Water and Hydropower, (5):20-24.

WANG Dian-long, ZHANG Guang-hui, et al. 2014. Contribution degrees of precipitation and groundwater exploitation to the groundwater flow field in Shijiazhuang. Advances in Water Science, 25(3):420-427.

MIAO Jin-xiang. 2010. Evolution of funnels and planning of sustainable utilization for groundwater in the urban areas of Anyang City. South-to-North Water Science & Technology, 8(6):21-24, 32.

HAN Zhan-tao, WANG Ping, et al. 2013. Analysis of the evolvement of deep confined groundwater funnel and water supply strategy for Cangzhou area. Hydrogeology＆Engineering Geology, (5): 9-33.

FEI Yu-hong, MIAO Jin-xiang, et al. 2009. Analysis on evolution of groundwater depression cones and its leading factors in North China Plain. Resources Science, 31(3): 394-399.

SU Xiao-si, DU Shou-ying, et al. 2014. Risks forecast under groundwater reducing mining based on random simulation in Hun River’s alluvaial fan. Journal of Jilin University: Earth Science Edition, 44(3):986-994.

Shelef G, Azov Y. 1996. The coming era of intensive wastewater reuse in the Mediterranean region. Water Science and Technology, 33(10-11): 115-125.

GUO Yan-zhi, WANG Xiao-hu, SUN Jun-mao. 2014. The estimation of saving water resources because of substitute planting of potato instead winter wheat inthe funnel area of the North China Plain. Journal of Agricultural Science and Technology, 16(6): 159-163.

LI Shu-wen, ZHANG Da-long, et al. 2013. Study on grey numerical model for the area of groundwater funnel. Geotechnical Investi-gation ＆ Surveying, (4): 35-38.

JIA Shao-feng, LI Yuan-yuan, et al. 2016. Estimation of excess pumping of shallow groundwater aquifer in Haihe Plain. South- to-North Water Science & Technology, (4):1-7, 71.

KOU Wen-jie. 2013. Numerical simulation of the groundwater system in the Geermu River Basin. Hydrogeology＆Engineering Geology, 40(1):34-40.

Dillon P, Toze S, et al. 2010. Managed aquifer recharge: Rediscovering nature as a leading edge technology. Water Science and Technology, 62(10): 2338-2345.

LI Yu, SHAO Jing-li, et al. 2010. A discussion on the patterns of groundwater reservoir in the west suburb of Beijing. Earth Science Frontiers, 17(6):192-199.

ZHOU Hao, WANG Dian-long, et al. 2011. Numeric simulation research on the recovery of groundwater funnel in core region of Shenyang City. Journal of China Hydrology, 31(5):47-51.

Pyne R, David G. 1995. Groundwater recharge and wells: A guide to aquifer storage recovery. London: Lewis Publishers, CRC Press.

FENG Hui-min, ZHANG Guang-hui, et al. 2014. Analysis on driving force for groundwater flow field evolutionin Shijiazhuang Area in recent 50 years. Journal of Hydraulic Engineering, 45(2): 180-186.

ZHANG Jian-li, WANG Dong-sheng, PAN Shi-bing. 2012. Calculation of ecological water require?ments based on groundwater model in Baoding. Earth Science-Journal of China University of Geosciences, 37(2):370- 374.

Chowdhury A, Jha M K, Chowdary V M. 2010. Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur District, West Bengal, using RS, GIS and MCDM techniques. Environmental Earth Sciences, 59(6): 1209-1222.

WU Ji-chun, LU Le. 2011. Uncertainty analysis for groundwater modeling. Jounrnal of Nanjing University: Natrual Sciences, 41(3):227-234.

Zuurbier K G, Bakker M, et al. 2013. Identification of potential sites for aquifer storage and recovery (ASR) in coastal areas using ASR performance estimation methods. Hydro-geology Journal, 21(6):1373-1383.

XU Hai-zhen, LI Guo-min, LI Ming. Analysis on over-exploited area evolution of groundwater in Tianjin City based on numerical simulation. Geotechnical Investigation＆Surveying, (11): 35-40.

ZHANG Zhao-ji, FEI Yu-hong, et al. Regional groundwater contamination assessment in the North China Plain. Journal of Jinlin University (Earth Science Edition), 42(5): 1456-1461.

Relative Articles

[1]	Jun Liu, Yan-pei Cheng, Feng-e Zhang, Xue-ru Wen, Liu Yang, 2023: Research hotspots and trends of groundwater and ecology studies: Based on a bibliometric approach, Journal of Groundwater Science and Engineering, 11, 20-36. doi: 10.26599/JGSE.2023.9280003
[2]	Tian Nan, Chen Yue, Wen-geng Cao, En-lin Mu, Yang Ou, Zhen-sheng Lin, Wei Kang, 2023: Effective groundwater level recovery from mining reduction: Case study of Baoding and Shijiazhuang Plain area, Journal of Groundwater Science and Engineering, 11, 278-293. doi: 10.26599/JGSE.2023.9280023
[3]	Ci-xiao Qu, Ming-yu Wang, Peng Wang, 2022: Experimental and numerical investigation of groundwater head losses on and nearby short intersections between disc-shaped fractures, Journal of Groundwater Science and Engineering, 10, 33-43. doi: 10.19637/j.cnki.2305-7068.2022.01.004
[4]	Yu-kun Sun, Feng Liu, Hua-jun Wang, Xin-zhi Gao, 2022: Numerical simulation of operation performance on production and injection of a double well geothermal system in Kailu Basin, Inner Mongolia, Journal of Groundwater Science and Engineering, 10, 196-208. doi: 10.19637/j.cnki.2305-7068.2022.02.008
[5]	Hui-feng Yang, Rui-fang Meng, Xi-lin Bao, Wen-geng Cao, Ze-yan Li, Bu-yun Xu, 2022: Assessment of water level threshold for groundwater restoration and over-exploitation remediation the Beijing-Tianjin-Hebei Plain, Journal of Groundwater Science and Engineering, 10, 113-127. doi: 10.19637/j.cnki.2305-7068.2022.02.002
[6]	Feng LIU, Gui-ling WANG, Wei ZHANG, Chen YUE, Li-bo TAO, 2020: Using TOUGH2 numerical simulation to analyse the geothermal formation in Guide basin, China, Journal of Groundwater Science and Engineering, 8, 328-337. doi: 10.19637/j.cnki.2305-7068.2020.04.003
[7]	Chun-chao ZHANG, Xin-wei HOU, Xiang-quan LI, Zhen-xing WANG, Chun-lei GUI, Xue-feng ZUO, Jian-fei MA, Ming GAO, 2020: Numerical simulation and environmental impact prediction of karst groundwater in Sangu Spring Basin, China, Journal of Groundwater Science and Engineering, 8, 210-222. doi: 10.19637/j.cnki.2305-7068.2020.03.002
[8]	XU Jun-xiang, WANG Shao-juan, LI Chang-suo, XING Li-ting, 2019: Numerical analysis and evaluation of groundwater recession in a flood detention basin, Journal of Groundwater Science and Engineering, 7, 253-263. doi: DOI: 10.19637/j.cnki.2305-7068.2019.03.006
[9]	LI Wen-yon, FU Li, ZHU Zheng-feng, 2019: Numerical simulation and land subsidence control for deep foundation pit dewatering of Longyang Road Station on Shanghai Metro Line 18, Journal of Groundwater Science and Engineering, 7, 133-144. doi: 10.19637/j.cnki.2305-7068.2019.02.004
[10]	ZHAN Jiang, LI Wu-jin, LI Zhi-ping, ZHAO Gui-zhang, 2018: Indoor experiment and numerical simulation study of ammonia-nitrogen migration rules in soil column, Journal of Groundwater Science and Engineering, 6, 205-219. doi: 10.19637/j.cnki.2305-7068.2018.03.006
[11]	ZHU Heng-hua, JIA Chao, XU Yu-liang, YU Ze-min, YU Wei-jiang, 2018: Study on numerical simulation of organic pollutant transport in groundwater northwest of Laixi, Journal of Groundwater Science and Engineering, 6, 293-305. doi: 10.19637/j.cnki.2305-7068.2018.04.005
[12]	LI Lu-lu, SU Chen, HAO Qi-chen, SHAO Jing-li, 2018: Numerical simulation of response of groundwater flow system in inland basin to density changes, Journal of Groundwater Science and Engineering, 6, 7-17. doi: 10.19637/j.cnki.2305-7068.2018.01.002
[13]	TAO Hong, ZHENG Miao-miao, FAN Li-min, LI Wen-li, DING Jia, LI Hui, HE Xu-bo, TAO Fu-ping, 2017: Research on quality changes and influencing factors of groundwater in the Guanzhong Basin, Journal of Groundwater Science and Engineering, 5, 296-302.
[14]	MA Zhi-yuan, XU Yong, ZHAI Mei-jing, WU Min, 2017: Clogging mechanism in the process of reinjection of used geothermal water: A simulation research on Xianyang No.2 reinjection well in a super-deep and porous geothermal reservoir, Journal of Groundwater Science and Engineering, 5, 311-325.
[15]	MA Luan, WANG Guang-cai, SHI Zhe-ming, GUO Yu-ying, XU Qing-yu, HUANG Xu-juan, 2016: Simulation of groundwater level recovery in abandoned mines, Fengfeng coalfield, China, Journal of Groundwater Science and Engineering, 4, 344-353.
[16]	LIU Jun-qiu, XIE Xin-min, 2016: Numerical simulation of groundwater and early warnings from the simulated dynamic evolution trend in the plain area of Shenyang, Liaoning Province (P.R. China), Journal of Groundwater Science and Engineering, 4, 367-376.
[17]	CHENG Tang-pei, LIU Xing-wei, SHAO Jing-Li, CUI Ya-li, 2016: Review of the algebraic linear methods and parallel implementation in numerical simulation of groundwater flow, Journal of Groundwater Science and Engineering, 4, 12-17.
[18]	WEI Jia-hua, CHU Hai-bo, WANG Rong, JIANG Yuan, 2015: Numerical simulation of karst groundwater system for discharge prediction and protection design of spring in Fangshan District, Beijing, Journal of Groundwater Science and Engineering, 3, 316-330.
[19]	MA Shao-bing, ZHOU Jun, LIANG Peng, SU Yao-ming, 2014: Characteristics-based classification research on typical petroleum contaminants of groundwater, Journal of Groundwater Science and Engineering, 2, 41-47.
[20]	ZHANG Shao-cai, LIU Li-jun, LIU Zhi-gang, WANG Jun-jie, CUI Qiu-ping, WANG Juan, 2014: Method for groundwater research in bedrock of mountainous area of Hebei, Journal of Groundwater Science and Engineering, 2, 97-104.