ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Storm Surge in the Gulf of Thailand Generated by Typhoon Linda in 1997 Using Princeton Ocean Model (POM))

ผู้เขียน:ดร.จิตราภรณ์ ฟักโสภา, ผู้ช่วยศาสตราจารย์, Pramot Sojisuporn

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Abstract

Princeton Ocean Model (POM) was applied to simulate tidal circulation in the Gulf of Thailand. The model grid space was 0.1? ? 0.1? (11?11 km2). The model was forced by eight tidal components (M2, K1, O1, S2, Q1, P1, K2, and N2) at the open boundary. The model results were verified using tidal data from 23 tide gauges in the Gulf of Thailand. The results showed that the calculated values from POM corresponded well with the observed ones. Then, the model was used to simulate sea level fluctuation in response to typhoon Linda which entered the Gulf in November 1997. In addition to tidal forcing at the open boundary, 12-hours predicted atmospheric pressure and wind field from Navy Operational Global Atmosphere Prediction System (NOGAPS) were forced above the model surface. The model results showed that POM can simulate Linda’s storm-surge even though the model underestimated the peak rise and sea level fluctuation was out of phase by approximately 1 hour sometimes. The reason for this might be that coarse grid, average atmospheric and wind fields were used in this study. In addition, the unreal of land-sea boundary and depth value from ETOPO5 might give rise to abnormal high sea level at some area in the model.

Article Info

Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 040, Issue 5, Jan 06 - Jun 06, Page 260 - 268 |  PDF |  Page

ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Dissolved Oxygen Dispersion Model Within Green Mussel Farming Area in Sri Racha Bay, Chonburi Province, Thailand)

ผู้เขียน:ดร.มณฑล อนงค์พรยศกุล, ผู้ช่วยศาสตราจารย์, Sunthari Tharapan, นายอลงกต อินทรชาติ, ดร.ภูวดล โดยดี, ผู้ช่วยศาสตราจารย์, Pramot Sojisuporn

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Abstract

Dissolved oxygen (DO) is a major parameter in the aquatic environment and it is also necessary for all marine organisms, including mollusks. Thus, a case study was developed to model the DO distribution within a green mussel farming area in Sri Racha Bay, Chonburi province, Thailand. The model indicated that the water was well mixed, based on a mass balancing equation. The DO concentration varied depending on the sources and sinks of the DO which were applied to the model. A solution for the model was considered by an implicit method of successive over relaxation. In the model, the velocity of water was computed by the Princeton Ocean Model (POM). The output of the POM revealed that the seawater moved northward during the flood tide, while during the ebb tide, it moved southward with a maximum speed approximately 1 m.sec-1. The model was applied by adding and removing DO terms which were obtained from empirical experiments. On 29 January 2010 at 2100 hours, when low tide occurred, the DO concentration in the center of a floating raft of green mussel (Perna viridis) was lowest while the advection of water was dramatically slackened. Moreover, during night time, when there was no photosynthesis, the DO concentration was lowest. The results obtained from the model were acceptable compared with actual field observations. Similarly, the pattern of DO dispersion from the prediction at low tide also corresponded to the pattern of DO dispersion from the survey at low tide. Thus, the model could be used as a tool for predicting and estimating the amount of DO in a marine culture area in order to increase production and the preservation of the environment.

Article Info

Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 046, Issue 4, Jul 12 - Aug 12, Page 565 - 572 |  PDF |  Page