Integrated Operational Modeling of the Harmful Algal Blooms(HABs) Using R

Title
Integrated Operational Modeling of the Harmful Algal Blooms(HABs) Using R
Author(s)
이기섭; 조홍연; 최진용; 강돈혁
KIOST Author(s)
Lee, Gi Seop(이기섭)Cho, Hong Yeon(조홍연)Choi, Jin Yong(최진용)Kang, Don Hyug(강돈혁)
Publication Year
2019-07-09
Abstract
Harmful algal blooms(HABs) are critical issues on the coastal ocean. Government agencies and ocean scientists are struggling to reduce the damage of coastal aquaculture by HABs. As a part of the effort, ocean scientists are conducting researches on how to cope with HABs and how to predict it before HABs occur. In this study, a model to predict the route and range of HABs was constructed to prevent damage caused by HABs. As with most ecological models, the major parts of the HABs model including physical, chemical, and biological factors are fundamental, but technical processes for efficient operation of the model are also important. The open source language, R, has a great advantage in performing comprehensivemodeling research because a wide range of libraries which are wellverified can be available. Whole modeling processes including data acquisition using API(Application Programming Interface) from government, localized physical model data input, rasterizing and computing spatial data and visualization of prediction results were integrated into the R and implemented with satisfaction. The integrated R code calculates the 72-hour forecast results everyday through the batch process.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22556
Bibliographic Citation
Use R 2019, 2019
Publisher
R Foundation
Type
Conference
Language
English
Publisher
R Foundation
Related Researcher
Research Interests

Operational Oceanography,Numerical Modeling,운용해양,수치모델링

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