PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Prioritizing Countermeasures for Reducing Seawater-Intrusion Area by Considering of Regional Characteristics Using SEAWAT and a Multi-Criteria Decision-Making Method
Version 1
: Received: 30 March 2018 / Approved: 30 March 2018 / Online: 30 March 2018 (08:53:05 CEST)
How to cite:
Yang, J.; Kim, I.H.; Chung, E. Prioritizing Countermeasures for Reducing Seawater-Intrusion Area by Considering of Regional Characteristics Using SEAWAT and a Multi-Criteria Decision-Making Method. Preprints2018, 2018030261. https://doi.org/10.20944/preprints201803.0261.v1
Yang, J.; Kim, I.H.; Chung, E. Prioritizing Countermeasures for Reducing Seawater-Intrusion Area by Considering of Regional Characteristics Using SEAWAT and a Multi-Criteria Decision-Making Method. Preprints 2018, 2018030261. https://doi.org/10.20944/preprints201803.0261.v1
Yang, J.; Kim, I.H.; Chung, E. Prioritizing Countermeasures for Reducing Seawater-Intrusion Area by Considering of Regional Characteristics Using SEAWAT and a Multi-Criteria Decision-Making Method. Preprints2018, 2018030261. https://doi.org/10.20944/preprints201803.0261.v1
APA Style
Yang, J., Kim, I.H., & Chung, E. (2018). Prioritizing Countermeasures for Reducing Seawater-Intrusion Area by Considering of Regional Characteristics Using SEAWAT and a Multi-Criteria Decision-Making Method. Preprints. https://doi.org/10.20944/preprints201803.0261.v1
Chicago/Turabian Style
Yang, J., Il Hwan Kim and Eun-Sung Chung. 2018 "Prioritizing Countermeasures for Reducing Seawater-Intrusion Area by Considering of Regional Characteristics Using SEAWAT and a Multi-Criteria Decision-Making Method" Preprints. https://doi.org/10.20944/preprints201803.0261.v1
Abstract
Coastal areas are increasingly being damaged with the expansion of seawater intrusion areas. We suggest a three-step method for reducing seawater intrusion areas by predicting future damage to groundwater being used continuously. First, the area most vulnerable to seawater intrusion damage is selected from among 25 areas on the west coast of the Republic of Korea. Having identified the Taean area as the region in question in the second step, we use RCP 4.5 and 8.5 as future sea level rise scenarios and predict the future usage of groundwater using linear-regression analysis of data for the past 10 years. Consequently, for RCP 8.5 (groundwater-usage scenario 1.0), 68.5% of the total Taean area is projected to be influenced by seawater intrusion. In the third step, the effectiveness of seawater intrusion reduction measures is analyzed considering the projected future situation and the local characteristics of the Taean area. After considering the effects of alternative locations, as well as seawater intrusion related data, alternatives were prioritized using a multi-criteria decision-making method. Consequently, 3, 5, and 4 were prioritized in the listed order, and we judged that by applying seawater intrusion area reduction measures according to this result, we will achieve the biggest effect.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
