Study and applications the svm method in groundwater level forecast at some well in Hanoi region

https://tapchi.humg.edu.vn/en/archives?article=1131
  • Affiliations:

    1 Khoa Công nghệ Thông tin, Trường Đại học Mỏ - Địa chất, Việt Nam;
    2 Hội Địa chất thủy văn Việt Nam, Việt Nam

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  • Received: 20th-June-2017
  • Revised: 20th-Aug-2017
  • Accepted: 30th-Oct-2017
  • Online: 30th-Oct-2017
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Abstract:

Groundwater is widely used in the national economy, so it is important to forecast the change in groundwater reserves that characterize it as water level. In this paper we use SVM (Support Vector Machine) method to forecast groundwater table for wells in Hanoi area. The test was conducted with 2 forecasting options. The first is that we predict future water levels based on current and past water levels. The second option, according to hydrological studies, data on rain, also has a huge impact on future groundwater reserves. Forecasting needs both current rainfall and past rainfall.

How to Cite
Dang, N.Huu, Dang, P.Dinh and Bui, A.Van Thi 2017. Study and applications the svm method in groundwater level forecast at some well in Hanoi region (in Vietnamese). Journal of Mining and Earth Sciences. 58, 5 (Oct, 2017).