DETECTION OF TOTAL SUSPENDED SOLIDS DISTRIBUTION USING EMPIRICAL AND SEMI-ANALYTICAL MODELS IN BEKASI

  • Pingkan Mayestika Afgatiani Indonesian National Institute of Aeronanutics and Space (LAPAN) https://orcid.org/0000-0003-2630-8137
  • Maryani Hartuti Indonesian National Institute Aeronautics and Space (LAPAN)
  • Syarif Budhiman Indonesian National Institute Aeronautics and Space (LAPAN)
Keywords: Bekasi, Google Earth Engine, Landsat 8, TTS, water quality

Abstract

One of the parameters in water quality is total suspended solids (TSS). TSS consists of mud and microorganisms caused by erosion of soil flowed into water bodies. This study aimed to detect suspended sediments in Bekasi coastal water by comparing empirical and semi-analytic models. Landsat 8 was used for analysis of suspended solids using the Google Earth Engine platform. The workflow of this study consisted of land masking by area delineation using surface reflectance image data, TSS analysis, and visualization. Then validation was done with in situ data, model selection and time series implementation. TSS detection results were displayed with a different color display according to the concentration. Validation test results with in situ data showed that the value of the Semi-Analytical Absolute Error (NMAE) model was closer to the minimum requirement of 66.8%, far different from the empirical model of 43768%. The value of Root Mean Square Error (RMSE) also showed that the semi-analytic model produced a much smaller value of 51.4 and the empirical model of 58577.2. This showed that the semi-analytic model has a better value in detecting the distribution of TSS. Time series analysis showed that the distribution of MPT in 2015 - 2019 in coastal waters had a very high TSS distribution, due to the number of ponds and river estuaries. Therefore, semi-analytical model was more recommended for estimating TSS concentrations than empirical model.

Downloads

Download data is not yet available.

References

Adawiah, S.W., R. Faristyawan, N. Suwargana, E. Parwati, & M. Arief. 2018. Pengembangan model pemanfaatan penginderaan jauh untuk ekstraksi informasi kualitas perairan. Laporan Kegiatan Litbangyasa (Tidak Dipublikasikan). Lembaga Penerbangan dan Antariksa Nasional. Jakarta. 59 p.

Arief, M., S.W. Adawiah, M. Hartuti, & E. Parwati. 2017. Algoritma dua dimensi untuk estimasi muatan padatan tersuspensi menggunakan data satelit landsat-8, studi kasus: Teluk Lampung. J. Penginderaan Jauh dan Pengolahan Data Citra Digital, 13(2): 109–120. https://doi.org/10.30536/j.pjpdcd.2016.v13.a2517

Arifelia, D., G. Dianysah, & H. Surbakti. 2017. Analisis kondisi perairan ditinjau dari konsentrasi Total Suspended Solid (TSS) dan sebaran klorofil-a di muara Sungai Lumpur, Sumatera Selatan. J. Masparil - Marine Science Research, 9(2): 95–104. https://doi.org/10.36706/maspari.v9i2.4475

Badan Pusat Statistik Karawang. 2018. Kabupaten Karawang dalam angka. Badan Pusat Statistik Kabupaten Karawang. Karawang. 432 p.

Baird, R.B., A.D. Eaton, & E.W. Rice. 2017. Standard methods for the examination of water and wastewater. American Public Health Association. Wasington DC. 1546 p.

Bernardo, N., A. Carmo, & E. Park. 2019. Retrieval of suspended particulate matter in inland waters with widely differing optical properties using a semi-analytical scheme. Remote Sensing, 11(19): 1–22. https://doi.org/10.3390/rs11192283

Budhiman, S., T.W. Hobma, & Z. Vekerdy. 2004. Remote sensing for mapping TSM concentration in Mahakam Delta: an analytical approach. In: Liu et al. (eds.). Proceeding of The Thirteen OMISAR Workshop on Validation and Application of Satellite Data for Marine Resources Conservation 2004, Bali, October 5-9 2004. 1-15 pp.

Camiolo, M.D., E. Cozzolino, A.I. Dogliotti, C.G. Simionato, & C.A. Lasta. 2019. An empirical remote sensing algorithm for retrieving total suspended matter in a large estuarine region. Scientia Marina, 83(1): 53–60. https://doi.org/10.3989/scimar.04847.22A

Dolara, A., F. Grimaccia, S. Leva, M. Mussetta, & E. Ogliari. 2018. Comparison of training approaches for photovoltaic forecasts by means of machine learning. Applied Sciences (Switzerland), 8(2): 1–16. https://doi.org/10.3390/app8020228

Dorji, P., P. Fearns, & M. Broomhall. 2016. A semi-analytic model for estimating total suspended sediment concentration in turbid coastal waters of northern Western Australia using MODIS-Aqua 250 m data. Remote Sensing, 8(7): 33–38. https://doi.org/10.3390/rs8070556

Hariyanto, T., T.C. Krisna, Khomsin, C.B. Pribadi, & N. Anwar. 2017. Development of total suspended sediment model using Landsat-8 OLI and in-situ data at the Surabaya Coast, East Java, Indonesia. Indonesian J. of Geography, 49(1): 73-79. http://doi.org/10.22146/ijg.12010

Indeswari, L., T. Hariyanto, & P.C. Bekti. 2018. Pemetaan sebaran Total Suspended Solid (TSS) menggunakan citra landsat multitemporal dan data in situ (studi kasus: perairan muara Sungai Porong, Sidoarjo). J. Teknik ITS, 7(1): 2337–3520. https://doi.org/10.12962/j23373539.v7i1.28698

Kong, J.L., X.M. Sun, D.W. Wong, Y. Chen, J. Yang, Y. Yan, & L.X. Wang. 2015. A semi-analytical model for remote sensing retrieval of suspended sediment concentration in the Gulf of Bohai, China. Remote Sensing, 7(5): 5373–5397. https://doi.org/10.3390/rs70505373

Ligi, M., T. Kutser, K. Kallio, J. Attila, S. Koponen, B. Paavel, T. Soomets, & A. Reinart. 2017. Testing the performance of empirical remote sensing algorithms in the Baltic Sea waters with modelled and in situ reflectance data. Oceanologia, 59(1): 57–68. https://doi.org/10.1016/j.oceano.2016.08.002

Menteri Lingkungan Hidup. 2004. Keputusan Menteri Negara Lingkungan Hidup Nomor 51 Tahun 2004. Kementrian Lingkungan Hidup. Jakarta. 1498 p.

Mustofa, A., U. Islam, & N. Ulama. 2017. Kandungan total zat padat tersuspensi dari outlet tambak. J. DISPROTEK, 8(1): 34–45. https://doi.org/10.34001/jdpt.v8i1.484

Parwati, E. 2014. Analisis dinamika fluktuasi tss (total suspended solid) sepanjang DAS-muara-laut di perairan Berau Kalimantan. Dalam: Hasyim et al. (eds.). Prosiding Seminar Nasional Penginderaan Jauh 2014, IPB International Convention Center, Bogor, 21 April 2014. 662–670 pp. https://doi.org/10.12962/j23373539.v7i1.28698

Parwati, E. & A.D. Purwanto. 2017. Time series analysis of total suspended solid (TSS) using landsat data in Berau Coastal Area, Indonesia. International J. of Remote Sensing and Earth Sciences (IJReSES), 14(1): 61–70. https://doi.org/10.30536/j.ijreses.2017.v14.a2676

Purba, R.H., Mubarak, & M. Galib. 2018. Sebaran Total Suspended Solid (TSS) di kawasan muara Sungai Kampar Kabupaten Pelalawan Provinsi Riau. J. Perikanan dan Kelautan, 23(1): 21–30.

Sholihah, I., L.M. Jaelani, & T. Salam. 2016. Analisis sebaran padatan tersuspensi dan transparansi perairan menggunakan landsat 8. J. Teknik ITS, 5(2): 5–8. https://doi.org/10.12962/j23373539.v5i2.17175

Published
2020-08-31