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Volume 2017, Article ID 5192473, 11 pages
Research Article

Modelling of River-Groundwater Interactions under Rainfall Events Based on a Modified Tank Model

1State Key Laboratory of Geo-Hazard Prevention and Geo-Environment Protection, Chengdu University of Technology, Chengdu 610059, China
2Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362200, China
3State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
4College of Science, Southwest Petroleum University, Chengdu, Sichuan 610500, China
5College of Hydrometeorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China

Correspondence should be addressed to Wen Nie; moc.liamg@6201newein

Received 12 January 2017; Revised 8 May 2017; Accepted 28 May 2017; Published 2 July 2017

Academic Editor: Kundan Kumar

Copyright © 2017 Wen Nie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A multitank model experiment is employed to simulate the river-groundwater interaction under rainfall events. These experiments involve coarse and fine materials and rainfall events of 45 and 65 mm/hr. We developed a modified tank model for estimation of the groundwater table and river levels in these experiments. Parameter training of our tank model includes two algorithms: (i) the nonincremental learning algorithm-based model can predict the pore water pressure (PWP) in a slope and river under a 65 mm/hr rainfall event (coarse material) with Nash–Sutcliffe efficiency (NSE) = 0.427 and −0.909 and (ii) the incremental learning algorithm-based model can predict the PWP in a slope and river with NSE = 0.994 and 0.995. Then, the river-groundwater interaction was reproduced by a numerical case. The results of the deterministic method of the numerical case and optimized method of the modified tank model matched well.