Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Hossein

Hossein Hashemi

Senior lecturer

Hossein

Cartografía del potencial de agua subterránea utilizando un nuevo modelo de conjuntos de minería de datos

Groundwater potential mapping using a novel data-mining ensemble model

Author

  • Mojtaba Dolat Kordestani
  • Seyed Amir Naghibi
  • Hossein Hashemi
  • Kourosh Ahmadi
  • Bahareh Kalantar
  • Biswajeet Pradhan

Summary, in English

Freshwater scarcity is an ever-increasing problem throughout the arid and semi-arid countries, and it often results in poverty. Thus, it is necessary to enhance understanding of freshwater resources availability, particularly for groundwater, and to be able to implement functional water resources plans. This study introduces a novel statistical approach combined with a data-mining ensemble model, through implementing evidential belief function and boosted regression tree (EBF-BRT) algorithms for groundwater potential mapping of the Lordegan aquifer in central Iran. To do so, spring locations are determined and partitioned into two groups for training and validating the individual and ensemble methods. In the next step, 12 groundwater-conditioning factors (GCFs), including topographical and hydrogeological factors, are prepared for the modeling process. The mentioned factors are employed in the application of the EBF model. Then, the EBF values of the GCFs are implemented as input to the BRT algorithm. The results of the modeling process are plotted to produce spring (groundwater) potential maps. To verify the results, the receiver operating characteristics (ROC) test is applied to the model’s output. The findings of the test indicated that the areas under the ROC curves are 75 and 82% for the EBF and EBF-BRT models, respectively. Therefore, it can be inferred that the combination of the two techniques could increase the efficacy of these methods in groundwater potential mapping.

Department/s

  • Division of Water Resources Engineering
  • Middle Eastern Studies
  • MECW: The Middle East in the Contemporary World
  • Centre for Advanced Middle Eastern Studies

Publishing year

2019

Language

Spanish

Pages

211-224

Publication/Series

Hydrogeology Journal

Volume

27

Issue

1

Document type

Journal article

Publisher

Springer

Topic

  • Water Engineering

Keywords

  • Data mining
  • Geographic information system (GIS)
  • Groundwater management
  • Iran

Status

Published

ISBN/ISSN/Other

  • ISSN: 1431-2174