Groundwater Level Prediction Using Artificial Neural Networks: A Case Study in Tra Noc Industrial Zone, Can Tho City, Vietnam

Abstract

The objective of this study is to predict groundwater levels (GWLs) under different impact factors using Artificial Neural Network (ANN) for a case study in Tra Noc Industrial Zone, Can Tho City, Vietnam. This can be achieved by evaluating the current state of groundwater resources (GWR) exploitation, use and dynamics; setting-up, calibrating and validating the ANN; and then predicting GWLs at different lead times. The results show that GWLs in the study area have been found to reduce rapidly from 2000 to 2015, especially in the Middle-upper Pleistocene (qp2-3) and upper Pleistocene (qp3) due to the over-withdrawals from the enterprises for production purposes. Concerning this problem, an Official Letter of the People's Committee of Can Tho City was issued and taken into enforcement in 2012 resulting in the reduction of exploitation. The calibrated ANN structures have successfully demonstrated that the GWLs can be predicted considering different impact factors. The predicted results will help to raise awareness and to draw an attention of the local/central government for a clear GWR management policy for the Mekong delta, especially the industrial zones in the urban areas such as Can Tho city.

Evaluation of groundwater level, quality and recharge: a case study of Can Tho City, Viet Nam

“…This may be the result of groundwater exploitation being gradually phased-out due to the expansion of the water supply network from surface water. In addition, due to lack of data on GWR exploitation for the whole city, based on the assessment of the exploitation rate of GWR in Tra Noc Industrial Zone carried out by Ty et al (2018) [22], a total exploitation rate of GWR from 2004 to 2016 is shown in Figure 4. The [30].…”

“…It was found that the trend of this dropdown in deep wells was highly associated with extraction rates. In addition, Ty et al (2018) conducted research in the Tra Noc Industrial Zone of Can Tho city to assess the current status of exploitation, GWLs changes and management of GWR, from which a relationship between groundwater extraction, the water level in the Hau River (CTH-039803 station) and GWLs at monitoring stations/wells was established [21,22]. The results showed that the extraction of groundwater in the Tra Noc Industrial Zone led to an over-exploitation of GWR.…”