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Spatial Assessment and Mapping of Water Quality in Lake Sentani (Indonesia) Using In-Situ Data and Satellite Imagery

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aims to examine the water quality of Lake Sentani using both in-situ data and satellite remote sensing data. In-situ data was taken in July 2023 at 18 sampling sites, including temperature, DO, pH, TDS, and water transparency. In-situ data is also used to develop and validate algorithms for estimating water quality from satellite remote sensing data. Multi-temporal Landsat-8 satellite imagery was used to spatially and temporally map the surface water quality of Lake Sentani. In-situ data showed temperature, DO, pH, TDS, and water transparency ranging from 29.3°C to 31.8°C, 1.7 mg/L to 7.9 mg/L, 7.75 to 8.64, 23 mg/L to 46 mg/L, and 2.28 m to 2.94 m, respectively. Only water transparency does not meet the quality standards for water quality (class 1 and class 2), while the other parameters meet class 1 to class 3 quality standards for surface water samples. The accuracy of the algorithm used and the resulting one has a low Mean Absolute Error value, namely 0.81 (temperature), 0.37 (DO), 4.84 (TDS), and 0.12 (water transparency). The temperature and TDS concentrations from the satellite imagery data ranged from 28.110°C to 33.918°C, and 7.829 mg/L to 102.702 mg/L, respectively. Both of these parameters still meet water quality standards. The DO concentrations ranged from 2.228 mg/L to 12.562 mg/L, and water transparency ranged from 0.424 m to 3.151 m. The concentration of DO and water transparency do not meet quality standards in several parts of Lake Sentani, especially in November and August.
Słowa kluczowe
Twórcy
  • Department of Biology, Cenderawasih University, Jl. Kamp Wolker, Jayapura City 99333, Papua Province, Indonesia
  • Department of Marine Science and Fisheries, Cenderawasih University, Jl. Kamp Wolker, Jayapura City 99333, Papua Province, Indonesia
autor
  • Department of Marine Science and Fisheries, Cenderawasih University, Jl. Kamp Wolker, Jayapura City 99333, Papua Province, Indonesia
  • Department of Marine Science and Fisheries, Cenderawasih University, Jl. Kamp Wolker, Jayapura City 99333, Papua Province, Indonesia
autor
  • Department of Fisheries, University of Papua, Jl. Gunung Salju Amban, Manokwari 98312, West Papua Province, Indonesia
Bibliografia
  • 1. Akkoyunlu A., Akiner M.E. 2012. Pollution evaluation in streams using water quality indices: A case study from Turkey’s Sapanca Lake Basin. Ecological Indicators, 18(1)5, 01–511.
  • 2. Arief M., Adawiah S.W., Parwati E., Hamzah R., Prayogo T., Harsanugraha W.K. 2015. Development model of sea surface temperature extraction using Landsat-8 satellite data, case study: Lampung Bay. Jurnal Penginderaan Jauh, 12(2), 107–122. [in Indonesian].
  • 3. Astusti L.P., Warsa A., Satria H. 2009. Water quality and plankton abundance at Lake Sentani, Jayapura Regency. Jurnal Perikanan, 11(1), 66–77. [in Indonesian].
  • 4. Blix K., Pálffy K., To ́th V.R., Eltoft T. 2018. Remote Sensing of Water Quality Parameters Over Lake Balaton by Using Sentinel-3 OLCI. Water, 10(10), 1428.
  • 5. Cao Q., Tu G., Qiao Z. 2023. Application and recent progress of inland water monitoring using remote sensing techniques. Environmental Monitoring and Assessment, 195(1), 125.
  • 6. Chatziantoniou A., Spondylidis S.C., Stavrakidis-Zachou O., Papandroulakis N., Topouzelis K. 2022. Dissolved oxygen estimation in aquaculture sites using remote sensing and machine learning. Remote Sensing Applications: Society and Environment, 28, 100865.
  • 7. Childs C. 2004. Interpolating Surfaces in ArcGIS Spatial Analyst, Esri Education Series. Available at: https://www.esri.com/news/arcuser/0704/files/interpolating.pdf
  • 8. Cruz-Montes E.E., Durango-Banquett M.M., Torres-Bejarano F.M., Campo-Daza G.A., Padilla-Mendoza C. 2023. Remote sensing application using Landsat 8 images for water quality assessments. Journal of Physics: Conference Series, 2475, 012007.
  • 9. Gholizadeh M.H., Melesse A.M., Reddi L. 2016. A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques. Sensors, 16(8), 1298.
  • 10. Haerati W., Walukow A.F. 2022. Determination of the water quality of the Kampwolker River Jayapura using the STORET method. Dinamika Lingkungan Indonesia, 9(1), 58–63. [in Indonesian].
  • 11. Hamuna B., Tanjung R.H.R. 2021. Heavy metal content and spatial distribution to determine the water pollution index in Depapre Waters, Papua, Indonesia. Current Applied Science and Technology, 21(1), 1–11.
  • 12. Han Y., Bu H. 2023. The impact of climate change on the water quality of Baiyangdian Lake (China) in the past 30 years (1991-2020). Science of The Total Environment, 870, 161957.
  • 13. Hofierka J., Parajka J., Mitasova H., Mitas L. 2002. Multivariate interpolation of precipitation using regularized spline with tension. Transaction in GIS, 6(2), 135–150.
  • 14.Indrayani E., Nitimulyo K.H., Hadisusanto S., Rustadi R. 2015. Analysis of nitrogen, phosphor and organic carbon content at Lake Sentani-Papua. Jurnal Manusia dan Lingkungan, 22(2), 217–225. [in Indonesian].
  • 15. Irianto E.W., Triweko R.W. 2019. Eutrophication of Reservoirs and Lakes: Problems, Modeling and Control Efforts. ITP Press, Bandung. [in Indonesian].
  • 16.Jaelani L.M., Ratnaningsih R.Y. 2019. Multi-temporal chlorophyll-a monitoring in Lake Matano and Towuti using Landsat 8 OLI imagery. Journal of Applied Geospatial Information, 3(1), 190–194.
  • 17.Jaffar A., Thamrin N.M., Ali M.S.A.M., Misnan M.F., Yassin A.I.M., Zan N.M. 2022. Spatial interpolation method comparison for physico-chemical parameters of river water in Klang River using MATLAB. Bulletin of Electrical Engineering and Informatics, 11(4), 2368–2377.
  • 18. Kamaruddin S.A., Hashim A.R., Zainol Z.E., Ahmad A., Aziz K.A.A., Roslani M.A., Shuhaemi N. Tajam J., Hamid H.A., Nazir E.N.M. 2022. Evaluation of the performance of spline interpolation method in mapping and estimating the total suspended solids over the coastal water of Pulau Tuba, Kedah. IOP Conf. Series: Earth and Environmental Science, 1051, 012018.
  • 19. Kamaruddin S.A., Nasir N.A.H.A., Rahim N.S., Shuhaemi N., Hashim M.A., Khaza; I A.S., Aziz K.N.A., Roslani M.A. 2021. A comparative accuracy of regularized and tension spline methods to estimate and model the surface water pH of Pulau Tuba, Langkawi, Kedah. Science Letter, 15(2), 116–134.
  • 20. Kangabam R.D., Bhoominathan S.D., Kanagaraj S., Govindaraju M. 2017. Development of a water quality index (WQI) for the Loktak Lake in India. Applied Water Science, 7, 2907–2918.
  • 21. Karakaya N., Evrendilek F.G., Aslan G., Gungor K., Karaka S.D. 2011. Monitoring of lake water quality along with trophic gradient using Landsat data. International journal of Environmental Science and Technology, 8(4), 817–822.
  • 22. Lin J., Tang D., Alpers W., Wang S. 2014. Response of dissolved oxygen and related marine ecological parameters to a tropical cyclone in the South China Sea. Advanced in Space Research, 53(7), 1081–1091.
  • 23. Mushtaq F., Lala M.G.N. 2016. Remote estimation of water quality parameters of Himalayan Lake (Kashmir) using Landsat 8 OLI imagery. Geocarto International, 32(3), 274–285.
  • 24. Musliu M., Bilalli A., Durmishi B., Ismaili M., Ibrahimi H. 2018. Water quality assessment of the Morava e Binçës River based on the physicochemical parameters and water quality index. Journal of Ecological Engineering, 19(6), 104–112.
  • 25. North R.P., Livingstone D.M. 2013. Comparison of linier and cubic spline methods of interpolating lake water column profiles. Limnology and Oceanography: Methods, 11, 213–224.
  • 26. Pemerintah Republik Indonesia. 2021. Government Regulation of the Republic of Indonesia Number 22 of 2021 Concerning the Implementation of Environmental Protection and Management. Kementerian Sekretariat Negara Republik Indonesia, Jakarta. [in Indonesian].
  • 27. Pereira O.J.R., Merino E.R., Montes C.R., Barbiero L., Rezende-Filho A.T., Lucas Y., Melfi A.J. 2020. Estimating water pH using cloud-based Landsat images for a new classification of the Nhecolândia Lakes (Brazilian Pantanal). Remote Sensing, 12, 1090.
  • 28. Politi E., Cutler M.E.J., Rowan J.S. 2015. Evaluating the spatial transferability and temporal repeatability of remotesensing-based lake water quality retrieval algorithms at the European scale: A metaanalysis approach. International Journal of Remote Sensing, 36(11), 2995–3023.
  • 29. Prasetia A., Walukow A.F. 2021. Analysis of water quality in the Lake Area of the Expo Arena with the pollution index method in Jayapura City. Dinamika Lingkungan Indonesia, 8(1), 42–47. [in Indonesian].
  • 30. Purwanto P., Surbakti S.B.R., Tanjung R.H.R. 2013. The study of the water quality of Lake Sentani uses macrobenthos bioindicators. Jurnal Biologi Papua, 5(2), 53–59. [in Indonesian].
  • 31. Seleem T., Bafi D., Karantzia M., Parcharidis I. 2022. Water quality monitoring using Landsat 8 and Sentinel-2 satellite data (2014-2020) in Timsah Lake, Ismailia, Suez Canal Region (Egypt). Journal of the Indian Society of Remote Sensing, 50(12), 2411–2428.
  • 32. Shin S., Her Y., Muňoz-Carpena R., Yu X. 2023. Quantifying the contribution of external loading and internal hydrodynamic processes to the water quality of Lake Okeechobee. Science of The Total Environment, 883, 163713.
  • 33. Song J., Wang J. 2019. Application of high-resolution satellite imagery in water quality monitoring of rivers and lakes. IOP Conference Series: Materials Science and Engineering, 592, 012160.
  • 34. Sulawesty F., Suryono T. 2016. Phytoplankton community in relation to water quality of Lake Sentani. LIMNOTEK: Perairan Darat Tropis di Indonesia, 23(2), 61–74. [in Indonesian].
  • 35. Tanjung R.H.R., Yonas M.N., Suwito S., Maury H.K., Sarungu Y., Hamuna B. 2022. Analysis of surface water quality of four rivers in Jayapura Regency, Indonesia: CCME-WQI approach. Journal of Ecological Engineering, 23(1), 73–82.
  • 36. United States Geological Survey. 2019. Landsat 8 (L8) Data Users Handbook. LSDS-1574 Version 5.0. U.S. Geological Survey, South Dakota.
  • 37. Walukow A.F. 2016. Analysis of metal concentrations of copper (Cu) in water at Sentani Lake in Jayapura-Papua. Der Pharmacia Lettre, 8(2), 303–308.
  • 38. Walukow A.F., Djokosetiyanto D., Kholip K., Soedharma D. 2008. Analysis the Pollution Load and the Assimilation Capacity of Lake Sentani, Papua for Conservation of Aquaculture Environment. Berita Biologi, 9(3), 229–236. [in Indonesian].
  • 39. Walukow A.F., Triwiyono T., Sukarta I.N. 2021. Analysis of the level of water pollution in the Kampwolker River as an inlet to the waters of Sentani Lake using the pollution index method. Jurnal Sains dan Teknologi, 10(1), 68–74. [in Indonesian].
  • 40. Walukow A.F., Triwiyono T., Lumbu A., Gultom M., Sukarta I.N. 2023. Policy priority model for management of Lake Sentani waters degradation after flash floods using the A’WOTMIC method. Journal of Ecological Engineering, 24(6), 239–248.
  • 41. Wang W., Yang P., Xia J., Huang H., Li J. 2023. Impact of land use on water quality in buffer zones at different scales in the Poyang Lake, middle reaches of the Yangtze River basin. Science of The Total Environment, 896, 165161.
  • 42. Wang X., Deng Y., Tuo Y., Cao R., Zhou Z., Xiao Y. 2021. Study on the temporal and spatial distribution of chlorophyll-a in Erhai Lake based on multispectral data from environmental satellites. Ecological Informatics, 61, 1574–9541.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c36f10d3-d1bb-4f4c-ac18-1959b53f4cba
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