Air Pollution Dispersion Analysis and Wind Resource Characterization  in Coastal Bengkulu Using Meteorological Observation Data of 2021-2024

Yosef Barita Sar Manik; Arifah Arsanti; Arjuna Nayaka; Azka Leona Mayriza; Ivander Adonis Amei; Miftakhul Syafina; Rolia Sesna Hutahaean

Authors

Yosef Barita Sar Manik Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.
Arifah Arsanti Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.
Arjuna Nayaka Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.
Azka Leona Mayriza Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.
Ivander Adonis Amei Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.
Miftakhul Syafina Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.
Rolia Sesna Hutahaean Environmental Engineering, Faculty of Engineering, President University, Kota Jababeka, Cikarang, 17550, Indonesia.

Keywords:

Windrose Analysis, WRPlot, Bengkulu, Seasonal Wind, Wind Speed Distribution

Abstract

Air pollution risk in coastal Bengkulu, influenced by monsoonal system-shifting wind patterns and increasing anthropogenic necessitates, requires wind pattern analysis at the areas of Muko-Muko, Pulau Baai, and Seluma, which are influenced by open land, airport activities, industrial emissions, and marine-terrestrial interactions, which require WRPlot for accurate dispersion simulation and eco-friendly spatial planning. The aim of this study is to examine the characteristics of the wind and prevailing directions of dispersion in three selected points that represents pollution-prone area at coastal regions of Bengkulu Province: Muko-Muko, Baai Island, and Seluma. The data analysis involved processing daily wind speed and direction hourly data obtained from NASA's POWER period of 2021 to 2024. Wind rose plots of directional frequencies and distributions of the wind classes were created using WRPlot 8.0.2. Results indicate predominant wind directions at all three selected points are 57% of the resultant vector during dry season and 68% of the resultant vector during wet season, with wind speeds ranging from 0.50 to 2.10 m/s, accounting for up to 88.4% of records. Calms varied from 3.1% to 10.8%, and wind speeds above 5.70 m/s were not recorded. These findings suggest that Bengkulu’s coastal wind regime is characterized by persistently light winds. Although such conditions limit the potential for large-scale wind energy utilization, they play a critical role in air pollution dispersion modelling and environmental risk assessment.

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