Analisis Variasi Spasial dan Temporal Parameter Kualitas Air Sungai Kahayan: Implikasi Terhadap Proses Self-Purification

Authors

  • Regina Wahyudyah Sonata Ayu Universitas Palangka Raya https://orcid.org/0000-0003-4078-1297
  • Yuniarta Basani Universitas Palangka Raya
  • Kadek Ayu Cintya Adelia Universitas Palangka Raya
  • Mega Yumia Universitas Palangka Raya

DOI:

https://doi.org/10.59632/magnetic.v5i1.491

Keywords:

MANOVA, PCA, Self-Purification, Sungai Kahayan

Abstract

Sungai Kahayan, sebagai salah satu sungai utama di Kalimantan Tengah, memiliki peran krusial dalam kehidupan masyarakat setempat. Namun, aktivitas manusia di sekitar sungai ini, seperti pembuangan limbah rumah tangga dan industri, mengakibatkan potensi pencemaran yang signifikan. Penelitian ini menggali variasi spasial dan temporal dari 11 parameter kualitas air Sungai Kahayan selama periode 2021–2023. Hasil analisis menggunakan teknik statistika multivariat,  Analisis Klaster Hierarki (HCA) dan Analisis Komponen Utama (PCA), mengidentifikasi hubungan kompleks antar parameter. Hasil PCA menunjukkan bahwa parameter kualitas air dapat direduksi menjadi dua komponen utama (PC1 dan PC2), menjelaskan sekitar 84,24% variabilitas data. PC1 merepresentasikan tingkat polusi organik dan anorganik, sementara PC2 mencerminkan aspek-aspek kimia dan keseimbangan kimia dalam air. Analisis spasial menggunakan HCA mengelompokkan lokasi pengambilan sampel ke dalam dua klaster utama, menunjukkan perbedaan signifikan dalam kualitas air. Analisis temporal menggunakan MANOVA mengungkapkan perbedaan yang signifikan setiap tahun, terutama pada parameter pH, DO, BOD, NH3-N, TDS, TSS, dan Fe. Kemampuan self-purification Sungai Kahayan dievaluasi melalui analisis tren dengan melibatkan parameter DO, BOD, dan COD. Meskipun terjadi pemurnian diri, sungai belum mencapai zona air bersih pada titik terakhir pengambilan sampel. Penelitian ini memberikan pemahaman mendalam tentang variasi spasial dan temporal kualitas air Sungai Kahayan, serta implikasinya terhadap proses self-purification. Hasilnya dapat menjadi dasar untuk pengelolaan sumber daya air yang berkelanjutan dan peningkatan pemahaman terhadap kondisi ekosistem sungai.

Downloads

Download data is not yet available.

References

[1] BPS Provinsi Kalimantan Tengah, “Provinsi Kalimantan Tengah dalam Angka 2023,” Palangka Raya, 2023.

[2] Y. O. R. Wainarisi and S. N. Tumbol, “Pergeseran Makna Sungai Kahayan bagi Masyarakat Dayak Ngaju di Desa Bukit Rawi Kabupaten Pulang Pisau,” J. Moral Civ. Educ., vol. 6, no. 1, pp. 181–194, 2022, doi: 10.24036/8851412612022627.

[3] Novrianti, “Pengaruh Aktivitas Masyarakat di pinggir Sungai (Rumah Terapung) terhadap Pencemaran Lingkungan Sungai Kahayan Kota Palangka Raya Kalimantan Tengah,” Media Ilm. Tek. Lingkung., vol. 1, no. 2, pp. 35–39, 2016.

[4] Leonardo, R. Elvince, and Ardianor, “Pengaruh Air Limbah Kota Palangka Raya Pada Kualitas Air Sungai Kahayan,” J. Environ. Manag., vol. 1, no. 2, pp. 124–133, 2020.

[5] Badan Pusat Statistik, Statistika Lingkungan Hidup Indonesia 2023. Jakarta: BPS, 2023.

[6] V. Šaulys, O. Survil, and R. Stankevi, “An Assessment of Self-Purification in Streams,” Water, vol. 12, no. 1, p. 87, 2020, doi: 10.3390/w12010087.

[7] R. Kaushik, “Mathematical Modelling on water pollution and Self-purification of River Ganges,” Adv. Appl. Sci. Res., vol. 6, no. 7, pp. 57–64, 2015.

[8] S. O. González, C. A. Almeida, M. Calderón, M. A. Mallea, and P. González, “Assessment of the water self-purification capacity on a river affected by organic pollution: application of chemometrics in spatial and temporal variations,” Environ. Sci. Pollut. Res., vol. 21, no. 18, pp. 10583–93, 2014, doi: 10.1007/s11356-014-3098-y.

[9] I. M. Aho, G. D. Akpen, and C. C. Aniakor, “Modelling Self Purification of River Benue Within Makurdi,” Arid Zo. J. Eng. Technol. Environ., vol. 17, no. 3, pp. 347–356, 2021.

[10] S. M. Nezad, K. Ebrahimi, and R. Kerachian, “Investigation of Seasonal Self-purification Variations of Karun River, Iran,” Amirkabir J. Civ. Eng., vol. 49, no. 4, pp. 193–196, 2018, doi: 10.22060/ceej.2016.866.

[11] W. D. Nugraha, A. Sarminingsih, and B. Alfisya, “The Study of Self Purification Capacity Based on Biological Oxygen Demand (BOD) and Dissolved Oxygen (DO) Parameters,” IOP Conf. Ser. Earth Environ. Sci., vol. 448, p. 012105, 2020, doi: 10.1088/1755-1315/448/1/012105.

[12] N. Y. H. Salih, A. O. Mohammad, and F. O. Mohammed, “Study on the Self-purification of Tanjaro River,” Tikrit J. Agric. Sci., vol. 21, no. 4, pp. 54–62, 2021.

[13] J. I. Obianyo, E. E. Ohazurike, O. O. Onyeike, I. Ije, S. Eboh, and L. I. Nwobia, “A Study of Self-purification Capacity of Anyim Stream,” Niger. J. Technol., vol. 41, no. 2, pp. 359–364, 2022, doi: 10.4314/njt.v41i2.17.

[14] B. O. L. Demars and J. R. Manson, “Temperature Dependence of Stream Aeration Coefficients and The Effect of Water Turbulence: A Critical Review,” Water Res., vol. 47, no. 1, pp. 1–15, 2013, doi: 10.1016/j.watres.2012.09.054.

[15] S. N. Zainurin et al., “Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review,” Int. J. Environ. Res. Public Heal., vol. 19, no. 21, p. 14080, 2022, doi: 10.3390/ijerph192114080.

[16] S. Chidiac, P. El Najjar, N. Ouaini, Y. El Rayess, and D. El Azzi, “A Comprehensive Review of Water Quality Indices (WQIS): History, Models, Attempts and Perspectives,” Rev. Environ. Sci. Bio/Technology, vol. 22, pp. 349–395, 2023, doi: 10.1007/s11157-023-09650-7.

[17] T. C. Ogwueleka, “Use of Multivariate Statistical Techniques For The Evaluation of Temporal and Spatial Variations in Water Quality of The Kaduna River, Nigeria,” Environ. Monit. Assess., vol. 187, p. 137, 2015, doi: 10.1007/s10661-015-4354-4.

[18] D. Phung et al., “Temporal and Spatial Assessment of River Surface Water Quality Using Multivariate Statistical Techniques: A Study in Can Tho City, a Mekong Delta Area, Vietnam,” Environ. Monit. Assess., vol. 187, p. 229, 2015, doi: doi.org/10.1007/s10661-015-4474-x.

[19] D. Pratiwi, D. Sumiarsa, D. Oktavia, and S. Sunardi, “Water Quality Influences Self-Purification in the Cihawuk and Majalaya Segments Upstream of the Citarum River, West Java, Indonesia,” Water, vol. 15, no. 16, p. 2998, 2023, doi: 10.3390/w15162998.

[20] M. Rezaali, A. Karimi, N. M. Yekta, and R. F. Fard, “Identification of Temporal and Spatial Patterns of River Water Quality Parameters Using NLPCA and Multivariate Statistical Techniques,” Int. J. Environ. Sci. Technol., vol. 17, pp. 2977–2994, 2020, doi: 10.1007/s13762-019-02572-4.

[21] N. S. Nathan, R. Saravanane, and T. Sundararajan, “Spatial Variability of Ground Water Quality Using HCA, PCA and MANOVA at Lawspet, Puducherry in India,” Comput. Water, Energy, Environ. Eng., vol. 6, no. 3, pp. 243–268, 2017, doi: 10.4236/cweee.2017.63017.

[22] E. V. Yanti, “Dinamika Musiman Kualitas Air di Daerah Sungai Kahayan Kalimantan Tengah,” Ziraa’ah, vol. 42, no. 2, pp. 107–118, 2017, doi: 10.31602/zmip.v42i2.774.

[23] Abdurrahman, R. Kentkhute, and L. N. Hasinah, “Kualitas Air Sungai Kahayan, Palangka Raya, Kalimantan Tengah,” BALANGA J. Pendidik. Teknol. dan Kejuru., vol. 11, no. 1, pp. 56–63, 2023, doi: 10.37304/ balanga.v11i2.10747.

[24] I. T. Jolliffe and J. Cadima, “Principal Component Analysis: A Review and Recent Developments,” Phil.Trans.R.Soc., vol. 374, no. 2065, p. 20150202, 2016, doi: 10.1098/rsta.2015.0202.

[25] Triyani and Syarpin, “Pemberdayaan masyarakat Daerah Aliran Sungai (DAS) Kahayan di Kelurahan Palangka Kota Palangka Raya Melalui Program Ecoliteracyr,” Unri Conf. Ser. Community Engagem., vol. 4, pp. 78–85, 2022, doi: 10.31258/unricsce.4.78-85.

Downloads

Published

2025-03-26

How to Cite

Analisis Variasi Spasial dan Temporal Parameter Kualitas Air Sungai Kahayan: Implikasi Terhadap Proses Self-Purification. (2025). Magnetic: Research Journal of Physics and It’s Application, 5(1), 411-419. https://doi.org/10.59632/magnetic.v5i1.491