Assessment of Hellwig Method for Predictors’ Selection in Groundwater Level Time Series Forecasting
Joanna Kajewska-Szkudlarek , Wojciech Łyczko
AbstractEffective groundwater planning and management should be based on the prediction of available water volume. The complex nature of groundwater systems makes this complicated and requires the use of complex methods. Data-driven models using computational intelligence are becoming increasingly popular in that field. The key issue in predictive modelling is the selection of input variables. Wrocław-Osobowice irrigation fields were a wastewater treatment plant until 2013. The monitoring of groundwater levels is being continued to assess the water relations in that area after the end of their exploitation. The aim of the study was to assess the Hellwig method for predictors’ selection in groundwater level forecasting with support vector regression models. Data covered the daily time series of groundwater level in the period 2015–2019. Obtained models with a root mean squared error (RMSE) of 0.024–0.292 m and r2 of 0.7–0.9 were considered as high quality. Moreover, they showed good prediction ability for high as well as low groundwater values. Additionally, the proposed method is simple, and its implementation only requires access to groundwater level measurement data. It may be useful in groundwater management and planning in terms of actual climate change and threat of water deficits.
|Journal series||Water, [Water (Switzerland)], ISSN 2073-4441, (N/A 70 pkt)|
|Publication size in sheets||0.6|
|Keywords in English||Hellwig method; input variables selection; groundwater level forecasting; support vector regression; time series reconstruction; wetlands for wastewater treatment|
|ASJC Classification||; ; ;|
|License||Journal (articles only); published final; ; with publication|
|Score||= 70.0, 16-03-2021, ArticleFromJournal|
|Publication indicators||: 2017 = 1.007; : 2018 = 2.524 (2) - 2018=2.721 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.