It is very important to monitor water quality to find out the extent to which human activities affect the quality of water used to support human life. The existence of the Mandalika Circuit, which is now the Indonesian MotoGP circuit, has boosted tourism in the Kuta area of South Lombok. The quality of the waters in the Kuta area of South Lombok will undoubtedly decline due to this tourism activity. Using remote sensing methods to measure water quality, this research examines the level of pollution and changes in water quality in Kuta, South Lombok, before the 2020 MotoGP event and after the 2023 MotoGP event. Using the TSS algorithm from Sentinel-2A imagery in 2020 and 2023, this study determines changes in water quality. There was a significant increase in the content of TSS in the waters of Kuta, South Lombok from 2020 and 2023. Pollution meeting quality standards in 2020 was 0.027mg/L l which is below the detection limit (Detection limit = 0.5 mg/L), but increased in 2023 by 21.79 mg/L. Furthermore, the level of pollution is classified using the pollution index issued by the State Minister for the Environment Number 1 year 2010 that the waters of Kuta, South Lombok are still clean and awake


Water quality, Kuta area of South Lombok, Sentinel-2n image

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Brockmann, C., Doerffer, R., Peters, M., Stelzer, k., Embacher, S., Ruescas and Ana. (2016). Evolution of the C2RCC Neural Network for Sentinel 2 and 3 for the Retrieval of Ocean Colour Products in Normal and Extreme Optically Complex Waters.

Ismunarti,D.H. and Rochaddi, B. (2013). Study of Current Patterns in West Nusa Tenggara Waters and Its Simuloation Using a Mathematical Model Approach. Oceaography Marina Buletin Vol.2 (3), pp 1-11.

Emiyati, Kuncoro,T.S., Anneke,K.S.M., Budhiman,S., Hasyim,B. (2014). Multitemporal Analysis of SeaSurface Temperature Distribution in Lombok Waters Using MODIS Remote Sensing Data. Remote Sensing National Seminar.

Fardiaz, S. (2011). Air and Water Pollution. Yogyakarta: Kanisius Published.

Indeswari, L., Heriyanto,T., Pribadi, C.B. (2018). Mapping Total Suspended Solid (TSS) Distribution Using Multi-Temporal Landsat Imagery and In Situ Data (Case Study: Porong River Estuary, Sidoarjo). ITS Engineering Journal, 7(1) ISSN 2337-3520 (2310-928X Print).

Huovinen, P. J. Ramírez. L. Caputo dan I. Gómez. (2019). Mapping of Spatial and Temporal Variation of Water Characteristics Through Satellite Remote Sensing in Lake Panguipulli, Chile. Journal Science of the Total Environment. (679) : 196- 208

Lacaux, J.p., Tourre, Y., Vignolles, C., Ndione, J.A., and Lafaye, M. (2007). Classification of Ponds from High-Spatial Resolution Remote Sensing: Application to Rift Valley Fever Epidemics in Senegal, Remote Sensing of Environment, Vo., 106 (1), pp.66-74

Liu, J., Li, Q., Shi, T., Hu, S., Wu, G., and Zhou, Q. (2017). Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Consentration in Poyang Lake. Remote Sensing Vol. 9, No.761, pp.1-19.

Minister of Environment Republic of Indonesia. (2010). Regulation of the Minister of Environment Number 1 of 2010 concerning Procedures for Controlling Water Pollution.

Susanto, Dwi., Thomas S.M., John Marra. (2006). Ocean Color Variability in the Indonesian Seas During the SeaWiFs Era. Electronic Journal of The Earth Sciences

Wudianto. (2001). Analysis of Distribution and Abundance of Lemuru Fish (Sardinella lemuru Bleeker 1853) in the Bali Strait Waters: Relation to Optimization of Catch. Bogor. Postgraduate Program, Bogor Agricultural Institute.

Wyrtki K. (1961). Physical Oceaography of South East Asia Waters. Naga Report. Vol 2. Scripps Institution of Oceanography La Jolla California. The University of California.

Wyrtki K. (1962). The Upwelling In The Region Between Java And Australia During The Southeast Monsoon. J, Mar Freshw Res.

Xu, H. (2006). Modification of Normalized Difference Water Index (NDWI) to Enhance Open Water Features in Remotely SensedImagery. International Journal of Remote Sensing Vol. 27 (14), pp.3025-3033.



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