|Water Science and Engineering 2018, 11(1) 1-7 DOI: https://doi.org/10.1016/j.wse.2018.03.003 ISSN: 1674-2370 CN: 32-1785/TV|
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Understanding groundwater table using a statistical model
Shao-feng Yan a,b, Shuang-en Yu a,*, Yu-bai Wu a,c, De-feng Pan d, Jia-gen Dong e
Shao-feng Yan, Shuang-en Yu, Yu-bai Wu, De-feng Pan, Jia-gen Dong
In this study, a statistical model was established to estimate the groundwater table using precipitation, evaporation, the river stage of the Liangduo River, and the tide level of the Yellow Sea, as well as to predict the groundwater table with easily measurable climate data in a coastal plain in eastern China. To achieve these objectives, groundwater table data from twelve wells in a farmland covering an area of 50 m 150 m were measured over a 12-month period in 2013 in Dongtai City, Jiangsu Province. Trend analysis and correlation analysis were conducted to study the patterns of changes in the groundwater table. In addition, a linear regression model was established and regression analysis was conducted to understand the relationships between precipitation, evaporation, river stage, tide level, and groundwater table. The results are as follows: (1) The groundwater table was strongly affected by climate factors (e.g., precipitation and evaporation), and river stage was also a significant factor affecting the groundwater table in the study area ( p < 0.01, where p is the probability value). (2) The groundwater table was especially sensitive to precipitation. The significance of the factors of the groundwater table were ranked in the following descending order: precipitation, evaporation, and river stage. (3) A triple linear regression model of the groundwater table, precipitation, evaporation, and river stage was established. The linear relationship between the groundwater table and the main factors was satisfied by the actual values versus the simulated values of the groundwater table (R2 ? 0.841, where R2 is the coefficient of determination).
|Keywords： Groundwater table Precipitation Evaporation Climate factors Regression statistics Coastal plain|
|Received 2017-03-26 Revised 2017-11-27 Online: 2018-01-31|
This work was supported by the Sate Key Program of the National Natural Science Foundation of China (Grant No. 51479063), the Public Welfare Industry Special Funds for Scientific Research Projects of the Ministry of Water Resources (Grant No. 200801025), and the Innovative Projects of Scientific Research for Postgraduates in Ordinary Universities in Jiangsu Province (Grant No. CXZZ13_0267).
|Corresponding Authors: email@example.com (Shuang-en Yu)|
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Apaydin, A., 2010. Response of groundwater to climate variation: Fluctuations of groundwater level and well yields in the Halacli aquifer (Cankiri, Turkey). Environmental Monitoring and Assessment. 165(1-4), 653–663. http://dx.doi.org/10.1007/s10661-009-0976-8.
Du, W., Wei, X.M., Li, P., Li, P., Han, Y.Z., 2013. Dynamic evolutionary tendency of groundwater in irrigation district in changing environment and its driving factors. Journal of Drainage and Irrigation Machinery Engineering. 31(11), 993–999. http://dx.doi.org/10.3969/j.issn.1674-8530.2013.11.014.
Ferdowsian, R., Pannell, D.J., McCarron, C., Ryder, A., Crossing, L., 2001. Explaining groundwater hydrographs: Separating atypical rainfall events from time trends. Soil Research. 39(4), 861-876. http://dx.doi.org/10.1071/SR00037.
Gong, Z.N, Gong, H.L., Deng, W., Zhao, W.J., 2006. An overview of water movement in groundwater-soil-plant-atmosphere continuum with shallow water table. Journal of Agro-Environment Science. 25, 365–373 (in Chinese).
Hu, H.B., Lin, W.D., Zhang, J.C., 1992. The research of soil erosion regularities in Jiangsu coastal plain sandy area. Journal of Nanjing Forestry University (Natural Science Edition). 16(2), 25–30. http://dx.doi.org/10.3969/j.jssn.1000-2006.1992.02.006 (in Chinese).
Jan, C.D., Chen, T.H., Huang, H.M., 2013. Analysis of rainfall-induced quick groundwater-level response by using a Kernel function. Paddy and Water Environment. 11(1-4), 135–144. http://dx.doi.org/10.1007/s10333-011-0299-6.
Kong, J., Xin, P., Hua, G.F., Luo, Z.Y., Shen, C.J., Chen, D., Li, L., 2015. Effects of vadose zone on groundwater table fluctuations in unconfined aquifers. Journal of Hydrology. 528, 397-407. http://dx.doi.org/10.1016/j.jhydrol.2015.06.045.
Nayak, P.C., Satyaji Rao, Y.R., Sudheer, K.P., 2006. Groundwater level forecasting in a shallow aquifer using artificial neural network approach. Water Resources Management. 20(1), 77-90. http://dx.doi.org/10.1007/s11269-006-4007-z.
Praveena, S.M., Abdullah, M.H., Bidin, K., Aris, A.Z., 2011. Understanding of groundwater salinity using statistical modeling in a small tropical island, East Malaysia. The Environmentalist. 31(3), 279-287. http://dx.doi.org/10.1007/s10669-011-9332-y.
Salameh, E., El-Naser, H., 2000. Changes in the Dead Sea level and their impacts on the surrounding groundwater bodies. Acta hydrochim. hydrobiol. 28(1), 24–33. http://dx.doi.org/10.1002/(SICI)1521-401X(200001)28:1<24::AID-AHEH24>3.0.CO;2-6.
She, D.L., Fei, Y.H., Liu, Z.P., Liu, D.D., Shao, G.C., 2014. Soil erosion characteristics of ditch banks during reclamation of a saline/sodic soil in a coastal region of China: Field investigation and rainfall simulation. Catena. 121(5), 176–185. http://dx.doi.org/10.1016/j.catena.2014.05.010.
Sherif, M.M., Singh, V.P., 1999. Effect of climate change on sea water intrusion in coastal aquifers. Hydrological Processes. 13(8), 1277–1287. http://dx.doi.org/10.1002/(SICI)1099-1085(19990615)13:8<1277::AID-HYP765>3.0.CO;2-W.
Wang, S.Q., Song, X.F., Wang, Q.X., Xiao, G.Q., Wang, Z.M., Liu, X., Wang, P., 2012. Shallow groundwater dynamics and origin of salinity at two sites in salinated and water-deficient region of North China Plain, China. Environmental Earth Sciences. 66(3), 729–739. http://dx.doi.org/10.1007/s12665-011-1280-9.
Wang, Y.N., Gao, G.Q., Cai, M.K., 2010. Dynamic prediction for groundwater level in Baoji Urban District based on multiple regression analysis. Journal of Water Resources and Architectural Engineering. 8(5), 101–102 (in Chinese).
Xi, H.Y., Feng, Q., Si, J.H., Chang, Z.Q., Cao, S.K., 2010. Impacts of river recharge on groundwater level and hydrochemistry in the lower reaches of Heihe River Watershed, northwestern China. Hydrogeology Journal. 18(3), 791–801. http://dx.doi.org/10.1007/s10040-009-0562-8.
Yang, J.F., Li, T.B, Li, Y., 1997. The application of zero flux plane method in groundwater resources evaluation in Shenyang area. World Geology. 16(2), 55–60 (in Chinese).
Yu, X., Ghasemizadeh, R., Padilla, I.Y., Kaeli, D., Alshawabkeh, A., 2016. Patterns of temporal scaling of groundwater level fluctuation. Journal of Hydrology. 536, 485-495. http://dx.doi.org/10.1016/j.jhydrol.2016.03.018.
Zhou, P.P., Li, G.M., Lu, Y.D., Li, M., 2013. Numerical modeling of the effects of beach slope on water-table fluctuation in the unconfined aquifer of Donghai Island, China. Hydrogeology Journal. 22(2), 383–396. http://dx.doi.org/10.1007/s10040-013-1045-5.
Zhou, X., Ruan, C.X., Yang, Y.Y., Fang, B., Ou, Y.C., 2006. Tidal effects of groundwater levels in the coastal aquifers near Beihai, China. Environmental Geology. 51(4), 517–525. http://dx.doi.org/10.1007/s00254-006-0348-4.
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