An Optimal Solution for Locating Tide Station Locations in Internal Gulf of Thailand by Using Location Allocation models (P – median)
Main Article Content
Abstract
The aim of this study is to utilize a location allocation model (P-median) to determine the optimal locations for tide stations in the Historic Bay of Thailand, based on three factors: variation in tide elevation, the number of ports, and population density. Two scenarios were considered: (1) adding new tide stations while retaining all existing ones; and (2) not retaining the existing tide stations but instead rearranging and adding new stations. The results indicated that the second scenario—rearranging the tide stations and adding new ones without retaining the existing stations—provides a more optimal long-term solution in terms of budget efficiency and coverage. This study can serve as a guideline for hydrographic offices to adopt when planning the construction of tide stations.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The author has the sole responsibility for the material published in RTNA Journal of Science and Technology, which the editorial board may not agree on that material.
RTNA Journal of Science and Technology owns the copyright of the text, the illustration, or other material published in the journal. No parts or the whole of the material published may be disseminated or used in any form without first obtaining written permission from the academy.
References
Center for Operational Oceanographic Products and Services (U.S.). Tide and Current Glossary [Internet]. Silver Spring, MD: U.S. National Oceanic and Atmospheric Administration, National Ocean Service; 2000 Jan. Available from: https://tidesandcurrents.noaa.gov/ publications/glossary2.pdf
International Hydrographic Organization. Manual on Hydrography. Publication C-13 [Internet]. 1st ed. Monaco: International Hydrographic Bureau; 2005 May. Available from: https://iho.int/uploads/user/pubs/cb/c-13/english/C-13_Chapter_1_and _ contents.pdf
Church R, Murray A. Business Site Selection, Location Analysis and GIS [Internet]. 2008. Available from: https://doi.org/10.1002/9780470432761
Crookes D, Blignaut J. An approach to determine the extinction risk of exploited populations. J Nat Conserv [Internet]. 2019;52:125750. Available from: https://doi.org/ 10.1016/j.jnc.2019.125750
Hydrographic Department of Royal Thai Navy. Thailand 1:45 000 Nautical Chart: Number 112, Mae Num Chao Phraya [Map]. Hydrographic Department of Royal Thai Navy; 2009.
สำนักบริหารการทะเบียน กรมการปกครอง. สถิติประชากรทางการทะเบียนราษฎร(รายเดือน) [อินเทอร์เน็ต]. กรมการปกครอง; [date unknown] [cited 2025 Jun 2]. Available from: https://stat.bora.dopa.go.th/ stat/statnew/statMONTH/statmonth/#/mainpage
สำนักแผนงาน กลุ่มสถิติวิเคราะห์ กรมเจ้าท่า. รายงานท่าเทียบเรือที่กรมเจ้าท่าดำเนินการก่อสร้างแล้วเสร็จ ณ ปี งบประมาณ 2562 [อินเทอร์เน็ต]. กรมเจ้าท่า; 2019 Jun [cited 2025 Jun 20]. Available from: https://md.go.th/wp-content/uploads/2021/11/report_port_MD_ build2562.pdf
Tanaka H. Muography for a dense tide monitoring network. Sci Rep [Internet]. 2022 Apr 25;12(1):6725. Available from: https://doi.org/10.1038/s41598-022-10373-y