Analysis of the Carrying Capacity and the Total Maximum Daily Loads of the Karang Mumus Sub-watershed in Samarinda City Using the WASP Method

Achmad Diansyukma(1*), Sri Puji Saraswati(2), Ahmad Tawfiequrrahman Yuliansyah(3)

(1) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(2) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(3) Department of Chemical Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(*) Corresponding Author


Watershed is a multi-aspect ecological system, which functions as a source of water resources, in order to meet daily needs. It also motivates both economical and life matters, as well as serve as a sanitary channel for the surrounding community. Watershed also generates pollutants, which are known to potentially cause a decrease in river water quality. The degradation of river habitats that are caused by high pollutants penetration into the water body, decreases the capacity to carry out self-purification of toxic loads. The water pollutant load-carrying capacity is then calculated through various methods, one of which is the use of a computerized numerical modeling simulation called WASP (Water Quality Analysis Simulation Program). This method was developed by the ES-EPA, in order to process TMDLs (Total Maximum Daily Loads) data on river bodies, as well as examine each part of the water quality, based on spatial and temporal inputs. This study was conducted at the Karang Mumus Sub-watershed flowing through the centre of Samarinda City, with aims to determine the pollutants' carrying capacity, existing load, and toxic waste allocation, via the use of the BOD (Biological Oxygen Demand) technique as a parameter of water quality. The calculation was carried out by segmenting the river into five parts, based on the number of districts it passes through, during pollutant loads inventory. The WASP modeling simulation showed that the total pollutant load-carrying capacity of the whole segments was 5,670 kg/day. It also showed the existing loads of about 3,605 kg/day, with the margin having the ability to receive pollutants at 2,065 kg/day. Moreover, the allocation of pollutant loads varies for each segment, with 2, 3, and 4 observed to reduce the pollutant by 390, 220, and 10 kg/day, respectively. However, segments 1 and 5 were still allowed to receive pollutant loads up to 1,740 and 945 kg/day, respectively.


Watershed; Pollutant Load Capacity; TMDL; WASP; BOD

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Abdi, Z., Hadi, M. P. and Widiyastuti, M., 2011. ‘Kajian Daya Tampung Beban Pencemaran Sungai Batanghari Pada Penggal Gasiang - Sungai Langkok Sumatera Barat’, Majalah Geografi Indonesia, 25(1), pp. 70–94. Available at:

Asdak, C., 2010. Hidrologi dan Pengelolaan Daerah Aliran Sungai. 5th edn. Yogyakarta: Gadjah Mada University Press.

BPS, 2019. Kota Samarinda Dalam Angka 2019. Samarinda: BPS Kota Samarinda.

C Montgomery, D., 2012. Design and Analysis of Experiments. New York: Jhon Wiley and Sons.

Chapra, S. C., 2008. Surface water-quality modeling. Long Grove, Illinois: Waveland press.

Djoharam, V., Riani, E. and Yani, M., 2018. ‘Analisis Kualitas Air Dan Daya Tampung Beban Pencemaran Sungai Pesanggrahan Di Wilayah Provinsi DKI JAKARTA’, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 8(1), pp. 127–133. doi: 10.29244/jpsl.8.1.127-133.

Flotemersch, J. E. et al., 2015. ‘A Watershed Integrity Definition and Assessment Approach to Support Strategic Management of Watersheds’, River Research and Applications. doi: 10.1002/rra.2978.

Hindriani, H. et al., 2013. ‘Identifikasi daya tampung beban pencemaran sungai ciujung dengan model wasp dan strategi pengendaliannya’, Jurnal Bumi Lestari, 13(2), pp. 275–287.

Iskandar, I., 2007. ‘Panduan Pelatihan Pengelolaan Kualitas Air’, Jakarta: Puslitbang Sumberdaya Air Kementerian Pekerjaan Umum.(in bahasa Indonesia).

Juwana, I. and Nugroho, D. P., 2020. ‘Calculation of Pollutant Load in Cipunagara River: Livestock Sector’, Journal of the Civil Engineering Forum. doi: 10.22146/jcef.52675.

Laili, F. N. and Sofyan, A., 2017. ‘Identifikasi Daya Tampung Beban Pencemaran Sungai Citarum Hilir Di Karawang Dengan WASP’, Jurnal Tehnik Lingkungan, 23(1), pp. 1–12. doi: 10.5614/

Lestari, S. et al., 2019. ‘Study of carrying capacity of Karang Mumus River using the QUAL2Kw Program’, International Journal of Agriculture & Environmental Science, 6(6), pp. 67–72. doi: 10.14445/23942568/ijaes-v6i6p110.

Liang, S. et al., 2015. ‘A pollutant load hierarchical allocation method integrated in an environmental capacity management system for Zhushan Bay, Taihu Lake’, Science of the Total Environment, 533, pp. 223–237. doi: 10.1016/j.scitotenv.2015.06.116.

Meeker, W. Q. and Escobar, L. A., 1998. Statistical Methods for Reliability Data. Canada: Wiley (Wiley Series in Probability and Statistics).

Pramaningsih, V., Suprayogi, S. and Setyawan Purnama, I. L., 2017. ‘Kajian Persebaran Spasial Kualitas Air Sungai Karang Mumus, Samarinda, Kalimantan Timur’, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 7(3), pp. 211–218. doi: 10.19081/jpsl.2017.7.3.211.

Saraswati, S. P. et al., 2019. ‘Water Quality Index Performance for River Pollution Control Based on Better Ecological Point of View (A Case Study in Code, Winongo, Gadjah Wong Streams)’, Journal of the Civil Engineering Forum, 5(1), pp. 47–56. doi: 10.22146/jcef.41165.

Soewarno, 2014. Aplikasi Metode Statistika Untuk Analisis Data Hidrologi. Yogyakarta: Graha Ilmu.

Triatmodjo, B., 2008. Hidrologi Terapan. Yogyakarta: Beta Offset.

Wardhana, W. A., 2004. ‘Dampak Pencemaran Lingkungan (Edisi Revisi)’, Yogyakarta: Penerbit Andi.

Wen, Y., Schoups, G. and Van De Giesen, N., 2017. Organic pollution of rivers: Combined threats of urbanization, livestock farming and global climate change, Scientific Reports. doi: 10.1038/srep43289.

Wijaya, D. S. and Juwana, I., 2018. ‘Identification and Calculation of Pollutant Load in Ciwaringin Watershed, Indonesia: Domestic Sector’, in IOP Conference Series: Materials Science and Engineering. doi: 10.1088/1757-899X/288/1/012049.

Wool, T. et al., 2020. ‘WASP 8: The next generation in the 50-year evolution of USEPA’s water quality model’, Water (Switzerland), 12(5), pp. 1–33. doi: 10.3390/W12051398.


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