Utilization of Multitemporal Land Cover Data and GIS for SWAT-Based Sedimentation and Runoff Modeling in the Lasolo Watershed, Indonesia
Abstract
Sedimentation and surface runoff are two vital processes occurring in a watershed, and calculating the constituent transports of sediments and surface water is the initial step in planning. This research was intended to model surface runoff and sedimentation temporally (2008, 2013, 2018, and 2021) on hydrological response unit (HRU) and subwatershed levels for the Lasolo Watershed in Southeast Sulawesi, Indonesia. Soil and Water Assessment Tool (SWAT), a physically based hydrological modeling instrument, was selected for the simulation using these input data: SRTM DEM, land cover, soil type, and several climatological data sourced from ERA5, NASA GLDAS, and the NASA POWER Project. Results showed fluctuating surface runoff and sediment yield throughout the simulation time frame. The mean surface runoff peaked at a capacity of 216.6 mm/year in 2013, and the mean sediment yield was also the highest this year, 10.8 tonnes/ha/year. In 2021, there was a significant reduction to 18.2 mm/year for surface runoff and 0.91 tonnes/ha/year for sediment yield. Simulations suggested that the watershed’s surface runoff capacity is directly proportional to the sediment yield produced.
References
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[2] Abry, A. 2022. Status Kualitas Air Sungai Sekitar Lokasi Pertambangan Nikel di Kecamatan Langgikima Kabupaten Konawe Utara. Jurnal Teluk, 2(1): 1–5.
[3] Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R. 1998. Large area hydrologic modeling and assessment part I: Model development. In Journal of the American Water Resources Association, 34(1): 73–89. DOI: https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
[4] Ayana, A. B., Edossa, D. C., and Kositsakulchai, E. 2012. Simulation of sediment yield using SWAT model in Fincha watershed, Ethiopia. Kasetsart Journal - Natural Science, 46(2): 283–297.
[5] Chauchat, J., Guillou, S., Pham Van Bang, D., and Dan Nguyen, K. 2013. Modelling sedimentation-consolidation in the framework of a one-dimensional two-phase flow model. Journal of Hydraulic Research, 51(3): 293–305. DOI: https://doi.org/10.1080/00221686.2013.768798
[6] de Oliveira Fagundes, H., et al. 2020. Sediment modeling of a large-scale basin supported by remote sensing and in-situ observations. Catena, 190(February), 104535. DOI: https://doi.org/10.1016/j.catena.2020.104535
[7] Firdausy, A. P., and Sudaryatno. 2017. Remote Sensing and GIS Application for Sedimentation Modeling in Porong River Estuary as an Impact of Lapindo Mudflow, Sidoarjo. IOP Conference Series: Earth and Environmental Science, 98(1). DOI: https://doi.org/10.1088/1755-1315/98/1/012022
[8] Foteh, R., et al. 2018. Reservoir Sedimentation Assessment through Remote Sensing and Hydrological Modelling. Journal of the Indian Society of Remote Sensing, 46(11): 1893–1905. DOI:https://doi.org/10.1007/s12524-018-0843-6
[9] Green, M. O. 2013. Catchment sediment load limits to achieve estuary sedimentation targets. New Zealand Journal of Marine and Freshwater Research, 47(2): 153–180. DOI:https://doi.org/10.1080/00288330.2012.757241
[10] Gull, D. S., and Dar, A. M. 2020. Modeling Runoff and Sediment Yield in Highly Gullied Regions of Kashmir using SWAT Model: A Case Study of Lolab Watershed. Journal of the Civil Engineering Forum, 6(3): 247. DOI: https://doi.org/10.22146/jcef.55298
[11] Hadian, M., and Mosaedi, A. 2021. Application of Remote Sensing Technology in Sediment Estimating Entering the Dam Reservoirs due to Floods. Shock and Vibration, 2021. DOI:https://doi.org/10.1155/2021/4469744
[12] Jain, S. K., Tyagi, J., and Singh, V. 2010. Simulation of Runoff and Sediment Yield for a Himalayan Watershed Using SWAT Model. Journal of Water Resource and Protection, 02(03): 267–281. DOI:https://doi.org/10.4236/jwarp.2010.23031
[13] Kuti, I. A., and Ewemoje, T. A. 2021. Modelling of sediment yield using the soil and water assessment tool (SWAT) model: A case study of the Chanchaga Watersheds, Nigeria. Scientific African, 13: e00936. DOI:https://doi.org/10.1016/j.sciaf.2021.e00936
[14] Lee, M. S., and Oda, K. 2019. Sedimentation properties and modeling of dredged soil. Marine Georesources and Geotechnology, 37(2): 223–235. DOI: https://doi.org/10.1080/1064119X.2017.1420714
[15] Liu, Y., and Jiang, H. 2019. Sediment Yield Modeling Using SWAT Model: Case of Changjiang River Basin. IOP Conference Series: Earth and Environmental Science, 234(1). DOI: https://doi.org/10.1088/1755-1315/234/1/012031
[16] Middelkoop, H., and Van der perk, M. 1998. Modelling spatial patterns of overbank sedimentation on embanked floodplains. Geografiska Annaler: Series A, Physical Geography, 80(2): 95–109. DOI:https://doi.org/10.1111/j.0435-3676.1998.00029.x
[17] Mohamed, M. J., Omran, I. I., and Abidalla, W. A. 2018. Evaluation of the soil moisture content using GIS technique and SWAT model, (Wadi Al-Naft region: As a case study). IOP Conference Series: Materials Science and Engineering, 454(1). DOI: https://doi.org/10.1088/1757-899X/454/1/012021
[18] Mohammad, M. E., Al-Ansari, N., and Knutsson, S. 2016. Application of SWAT model to estimate the annual runoff and sediment of Duhok reservoir watershed. Scour and Erosion - Proceedings of the 8th International Conference on Scour and Erosion, ICSE 2016, 1129–1136. DOI: https://doi.org/10.1201/9781315375045-145
[19] Peterson, K. T., et al. 2018. Suspended sediment concentration estimation from landsat imagery along the lower Missouri and middle Mississippi Rivers using an extreme learning machine. Remote Sensing, 10(10). DOI: https://doi.org/10.3390/rs10101503
[20] Principe, J. A., and Blanco, A. C. 2012. Integrated use of remote sensing, GIS and swat model to explore climate change effects on river discharge in the Cagayan River Basin and land cover-based adaptation measures. 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, 2(November), 1509–1518.
[21] Rahman, M. M., Thompson, J. R., and Flower, R. J. 2016. An enhanced SWAT wetland module to quantify hydraulic interactions between riparian depressional wetlands, rivers and aquifers. Environmental Modelling and Software, 84: 263–289. DOI: https://doi.org/10.1016/j.envsoft.2016.07.003
[22] Regmi, R. K. 2021. Sedimentation Modeling of Karnali Chisapani Multipurpose Project Reservoir, Nepal. Journal of The Institution of Engineers (India): Series A, 102(3): 815–827. DOI:https://doi.org/10.1007/s40030-021-00550-z
[23] Salsabilla, A., and Kusratmoko, E. 2017. Assessment of soil erosion risk in Komering Watershed, South Sumatera, using SWAT model. AIP Conference Proceedings, 1862. DOI: https://doi.org/10.1063/1.4991296
[24] Schmalz, B., et al. 2015. Modelling spatial distribution of surface runoff and sediment yield in a Chinese river basin without continuous sediment monitoring. Hydrological Sciences Journal, May, 1–24. DOI:https://doi.org/10.1080/02626667.2014.967245
[25] Shafaie, M., Ghodosi, H., and Mostofi, K. H. 2015. River sediment monitoring using remote sensing and GIS (case study KARAJ watershed). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(1W5): 675–680. DOI: https://doi.org/10.5194/isprsarchives-XL-1-W5-675-2015
[26] Song, X., Duan, Z., Kono, Y., and Wang, M. 2011. Integration of remotely sensed C factor into SWAT for modelling sediment yield. Hydrological Processes, 25(22): 3387–3398. DOI: https://doi.org/10.1002/hyp.8066
[27] Umugwaneza, A., et al. 2022. Integrating a GIS-based approach and a SWAT model to identify potential suitable sites for rainwater harvesting in Rwanda. Aqua Water Infrastructure, Ecosystems and Society, 71(4): 415–432. DOI: https://doi.org/10.2166/aqua.2022.111
[28] Wagh, S., and Manekar, V. 2021. Assessment of Reservoir Sedimentation using Satellite Remote Sensing Technique (SRS). Journal of The Institution of Engineers (India): Series A, 102(3): 851–860. DOI:https://doi.org/10.1007/s40030-021-00539-8
[29] Worku, T., Khare, D., and Tripathi, S. K. 2017. Modeling runoff–sediment response to land use/land cover changes using integrated GIS and SWAT model in the Beressa watershed. Environmental Earth Sciences, 76(16): 1–14. DOI: https://doi.org/10.1007/s12665-017-6883-3
[30] Zalaki-badil, N., Eslamian, S., Sayyad, G., and Hosseini, S. 2017. Using SWAT Model to Determine Runoff, Sediment Yield in Maroon-Dam Catchment. International Journal of Research Studies in Agricultural Sciences, 3(12): 31–41. DOI: https://doi.org/10.20431/2454-6224.0312004
Published
2023-06-02
How to Cite
YASIDI, Farid et al.
Utilization of Multitemporal Land Cover Data and GIS for SWAT-Based Sedimentation and Runoff Modeling in the Lasolo Watershed, Indonesia.
Journal of Environmental Management and Tourism, [S.l.], v. 14, n. 3, p. 678 - 688, june 2023.
ISSN 2068-7729.
Available at: <https://journals.aserspublishing.eu/jemt/article/view/7793>. Date accessed: 25 apr. 2024.
doi: https://doi.org/10.14505/jemt.v14.3(67).07.
Section
Article
Copyright© 2023 The Author(s). Published by ASERS Publishing 2023. This is an open access article distributed under the terms of CC-BY 4.0 license.