The Self-Purification Ability in the Rivers of Banjarmasin, Indonesia

• Autorzy: Zubaidah Tien , Karnaningroem Nieke , Slamet Agus

Identyfikatory

DOI

10.12911/22998993/97286

• Języki publikacji: EN

Abstrakty

EN

The self-purification capacity of river water is an essential indicator for a healthy river. Various organic and inorganic pollutants, both from point sources and nonpoint sources, in most streams in Banjarmasin were beyond the river self-purification capacity, which caused a decrease in the river water quality. This study attempted to identify the river water pollution distribution in the city of Banjarmasin and determined the self-purification points. We used the purposive sampling technique to carry out river water sampling, with criteria for pollutant sources and distance of pollution taken into consideration. By using the trend analysis techniques, we analyzed the parameters concentration to relate it to the range of pollution so that we were able to identify the pollution distribution and determine the self-purification distances. The results indicated that the self-purification process could take place on the river flow in of Banjarmasin even though it did not reach the clean water zone. The river in Banjarmasin requires a longer purification distance so that the self-purification process can run correctly.

Słowa kluczowe

EN

self-purification; river water pollution; Banjarmasin river

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2019
• Tom: Vol. 20, nr 2
• Strony: 177--182
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Zubaidah Tien

• Environmental Engineering Department, Faculty of Civil, Environmental, and Geo-Engineering, Institut Teknologi Sepuluh Nopember, ITS Str. Sukolilo, Surabaya 60111, Indonesia
• Enviromental Department, Banjarmasin Health Polytechnic of Ministry of Health, Mistar Cokrokusumo Str 1A, Banjar Baru 70714, Indonesia

autor

Karnaningroem Nieke

• Environmental Engineering Department, Faculty of Civil, Environmental, and Geo-Engineering, Institut Teknologi Sepuluh Nopember, ITS Str. Sukolilo, Surabaya 60111, Indonesia

autor

Slamet Agus

• Environmental Engineering Department, Faculty of Civil, Environmental, and Geo-Engineering, Institut Teknologi Sepuluh Nopember, ITS Str. Sukolilo, Surabaya 60111, Indonesia

Bibliografia

• 1. Bagchi, B., 2013. The pH of water. In: Water in Biological and Chemical Processes: From Structure and Dynamics to Function, Cambridge Molecular Science. Cambridge University Press, Cambridge, pp. 71–78.
• 2. Dallas, L.J., Jha, A.N., 2015. Applications of biological tools or biomarkers in aquatic biota: A case study of the Tamar estuary, South West England. Marine Pollution Bulletin, The English Channel and it’s catchments: Status and Responses to Contaminants 95, 618–633.
• 3. Effendi, H., 2016. River Water Quality Preliminary Rapid Assessment Using Pollution Index. Procedia Environmental Sciences, The 2nd International Symposium on LAPAN-IPB Satellite (LISAT) for Food Security and Environmental Monitoring 33, 562–567.
• 4. Gooch, J.W., 2007. Biochemical Oxygen Demand (BOD). In: Encyclopedic Dictionary of Polymers. Springer, New York, NY, pp. 108–108.
• 5. Kaul, S.N., 2005. Wastewater Management: With Special Reference to Tanneries. Discovery Publishing House.
• 6. Lewis, R.A., 2016. Hawley’s Condensed Chemical Dictionary. John Wiley & Sons.
• 7. Morrill, J.C., Bales, R.C., Conklin, M.H., 2005. Estimating Stream Temperature from Air Temperature: Implications for Future Water Quality. Journal of Environmental Engineering 131, 139–146.
• 8. Müller, B., Berg, M., Yao, Z.P., Zhang, X.F., Wang, D., Pfluger, A., 2008. How polluted is the Yangtze river? Water quality downstream from the Three Gorges Dam. Science of The Total Environment 402, 232–247.
• 9. Zubaidah, T., Karnaningroem, N., Slamet, A., 2018. K-Means Method for Clustering Water Quality Status on The Rivers of Banjarmasin, Indonesia. ARPN Journal of Engineering and Applied Sciences 13, 6.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).