Arif Rohman, Adam Irwansyah Fauzi, Nesya Hafiza Ardani, Muhammad Ulin Nuha, Redho Surya Perdana, Rian Nurtyawan, Aynaz Lotfata
Maninjau Lake is one of Indonesia's lakes used for hydroelectric power plants, tourism, and fish farming activities. Some activities around the lake cause pollution, leading to massive fish kills. Therefore, it is nec-essary to monitor water quality regularly. One of the critical water quality parameters is biochemical oxygen demand (BOD). This study aimed to analyze BOD changes using a remote sensing approach during massive fish kills in Maninjau Lake, Indonesia. Multi-temporal Landsat-8 satellite images are processed to estimate the BOD level based on Wang's Algorithm. The estimated BOD value is then validated using in situ data measurements. The results show that the average BOD concentration in Lake Maninjau was 1.85 mg/L with an R2 of 0.8334, and the standard error was 0.076 between the estimated BOD and the in-situ data. Further-more, the average concentration of BOD obtained on 23rd August 2017, 13th December 2017, 30th January 2018, 19th March 2018, and 7th July 2018 are 4.96 mg/L, 4.82 mg/L, 5.31 mg/L, 6.94 mg/L, and 6.60 mg/L, respectively. Increased BOD concentration in January 2018 indicates moderate pollution in the waters. BOD concentration increases after the massive fish kills due to the fish decaying across the lake. © 2023 by the authors.
Department of Geomatics Engineering, Faculty of Regional and Infrastructure Technology, Institut Teknologi Sumatera, Terusan Ryacudu Street, Lampung Selatan, 35365, Indonesia; Department of Geodesy Engineering, National Institute of Technology, 23 PH.H. Mustofa Street, Bandung, 40124, Indonesia; School of Veterinary Medicine, Department of Veterinary Pathology, University of California, Davis, United States
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