Total Suspended Solid (TSS) Study in Gajah Mungkur Reservoir Based on Landsat Image Analysis

Nurul Astuti; Sigit Heru Murti; Prima Widayani

doi:10.20527/flux.v21i2.17749

Total Suspended Solid (TSS) Study in Gajah Mungkur Reservoir Based on Landsat Image Analysis

Nurul Astuti, Sigit Heru Murti, Prima Widayani

Abstract

Total Suspended Solid (TSS), as one of the physical parameters of water quality, can also become an indicator in more comprehensive research themes. TSS is closely related to the process of erosion and sedimentation. One of the reservoirs that is experiencing serious problems with sedimentation is WGM. In terms of physical changes, alterations in water quality involve the introduction of both organic and inorganic solid particles, leading to elevated water turbidity and diminished penetration of sunlight into the water body. Remote sensing techniques can indirectly estimate and map TSS in bodies of water. Landsat imagery has been widely used in TSS studies. Not only is it able to identify water turbidity, but it also has a long time series and convenient data accessibility. The purpose of this research is to examine the TSS equation in the form of Normalised Suspended Material Index (NSMI) and the Syarif Budhiman Algorithm to obtain a comparison of results that are suitable for application to the waters of WGM using Landsat imagery. The results showed that the Syarif Budhiman Algorithm is considered more suitable to be applied to the study site based on statistical analysis using Landsat image data and field TSS sample data. The accuracy test results for the two equations did not show significant differences. The Syarif Budhiman equation showed a value of 37.87, and the NSMI equation of 37.47. However, the coefficient of model determination was 0.251 for NSMI and 0.340 for Syarif Budhiman. The distribution of TSS at the study site is generally homogeneously distributed with small concentrations ranging from 0-20 mg/L in the middle side of the reservoir. While the TSS class > 100 mg/L is scattered on the edge of the reservoir in Pondok, Keduang, Kepuh Wiroko, Temon, Bengawan Solo Hulu, Alang, and Kedungguling sub-watersheds

Keywords

Syarif Budhiman algorithm; normalized suspended material index; Gajah Mungkur reservoir

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References

Arisanty, D., & Nur Saputra, A. (2017). Remote Sensing Studies of Suspended Sediment Concentration Variation in Barito Delta. IOP Conference Series: Earth and Environmental Science, 98, 012058. https://doi.org/10.1088/1755-1315/98/1/012058

Balasubramanian, S. V., Pahlevan, N., Smith, B., Binding, C., Schalles, J., Loisel, H., Gurlin, D., Greb, S., Alikas, K., Randla, M., Bunkei, M., Moses, W., Nguyễn, H., Lehmann, M. K., O’Donnell, D., Ondrusek, M., Han, T.-H., Fichot, C. G., Moore, T., & Boss, E. (2020). Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters. Remote Sensing of Environment, 246, 111768. https://doi.org/10.1016/j.rse.2020.111768

Bilotta, G. S., & Brazier, R. E. (2008). Understanding the influence of suspended solids on water quality and aquatic biota. Water Research, 42(12), 2849–2861. https://doi.org/10.1016/j.watres.2008.03.018

Chen, X., Lu, J., Cui, T., Jiang, W., Tian, L., Chen, L., & Zhao, W. (2010). Coupling remote sensing retrieval with numerical simulation for SPM study—Taking Bohai Sea in China as a case. International Journal of Applied Earth Observation and Geoinformation, 12, S203–S211. https://doi.org/10.1016/j.jag.2009.10.002

Danoedoro, Projo.(2012). Pengantar Penginderaan Jauh Digital. Yogyakarta: ANDI

Kustiyo, Dewanti, R., & Sari, I. L. (2014). Pengembangan Metoda Koreksi Radiometrik Citra Spot 4 Multi-Spektral dan Multi-Temporal untuk Mosaik Citra.

Du, Y., Song, K., Wang, Q., Li, S., Wen, Z., Liu, G., Tao, H., Shang, Y., Hou, J., Lyu, L., Zhang, B., 2022. Total Suspended Solids Characterization and Management Implications for Lakes in East China. Science of The Total Environment 806, 151374. https://doi.org/10.1016/j.scitotenv.2021.151374

Havens, K. E., Beaver, J. R., Casamatta, D. A., East, T. L., James, R. T., Mccormick, P., Phlips, E. J., & Rodusky, A. J. (2011). Hurricane effects on the planktonic food web of a large subtropical lake. Journal of Plankton Research, 33(7), 1081–1094. https://doi.org/10.1093/plankt/fbr002

Hou, X., Feng, L., Duan, H., Chen, X., Sun, D., & Shi, K. (2017). Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China. Remote Sensing of Environment, 190, 107–121. https://doi.org/10.1016/j.rse.2016.12.006

Indeswari, L., Hariyanto, T., & Bekti Pribadi, C. (2018). Pemetaan Sebaran Total Suspended Solid (TSS) Menggunakan Citra Landsat Multitemporal dan Data In Situ (Studi Kasus: Perairan Muara Sungai Porong, Sidoarjo). Jurnal Teknik ITS, 7(1), 71–76. https://doi.org/10.12962/j23373539.v7i1.28698

Iswari, M. Y. (2016). Perbandingan Indeks Sedimen Tersuspensi untuk Identifikasi Total Suspended Solids (TSS) di Muara Sungai Opak Yogyakarta. 147.

Mair, P. (2020). Robust statistical methods in R using the WRS2 package.

Mishra, D. R., Ogashawara, I., & Gitelson, A. A. (Eds.). (2017). Bio-optical modelling and remote sensing of inland waters. Elsevier.

Montalvo, L. G. (2010). Spectral analysis of suspended material in coastal waters: A comparison between band math equations. Department of Geology, University of Puerto Rico, Mayaguez.

Opdyke, D. (2008). Hydrodynamics and Water Quality: Modeling Rivers, Lakes, and Estuaries. Eos, Transactions American Geophysical Union, 89(39), 366–366. https://doi.org/10.1029/2008EO390008

Priscoli, D. (2008). Managing and Transforming Water Conflicts. 382.

Sukmono, A. (2018). Pemantauan Total Suspended Solid (Tss) Waduk Gajah Mungkur Periode 2013-2017 Dengan Citra Satelit Landsat-8. Elipsoida : Jurnal Geodesi dan Geomatika, 1(01). https://doi.org/10.14710/elipsoida.2018.2812

DOI: http://dx.doi.org/10.20527/flux.v21i2.17749