SELF-ORGANIZING MAP WITH NGUYEN-WIDROW INITIALIZATION ALGORITHM FOR GROUNDWATER VULNERABILITY ASSESSMENT

Authors

  • Maureen Nettie Linan
  • Bobby Gerardo
  • Ruji Medina

DOI:

https://doi.org/10.47839/ijc.19.1.1694

Keywords:

Clustering algorithm, DRASTIC, Groundwater assessment, Self-organizing map, Small island.

Abstract

Assessment of groundwater vulnerability to contamination plays a vital role in the utilization and protection of groundwater resource. In this study, a vulnerability map for Boracay Island, Philippines was developed using a modified self-organizing map algorithm to determine groundwater vulnerability in light of massive tourism developments in the island. Self-organizing map using the Nguyen-Widrow initialization algorithm was used to cluster DRASTIC data which were pre-processed using data cleaning normalization schemes. The vulnerability map developed showed that groundwater resource in the island is susceptible to contamination as confirmed by groundwater quality analysis. The result of the study demonstrates the effectiveness of the improved SOM algorithm as a tool for assessment of groundwater vulnerability and is comparable with the traditional DRASTIC method. The developed methodology allows grouping of datasets into clusters that represent the level of vulnerability to contamination of the groundwater. Further, this approach can be applied to other islands to ensure the balance between tourism developments and ecological integrity of the scarce groundwater resource.

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Published

2020-03-31

How to Cite

Linan, M. N., Gerardo, B., & Medina, R. (2020). SELF-ORGANIZING MAP WITH NGUYEN-WIDROW INITIALIZATION ALGORITHM FOR GROUNDWATER VULNERABILITY ASSESSMENT. International Journal of Computing, 19(1), 63-69. https://doi.org/10.47839/ijc.19.1.1694

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