scholarly journals Determination of Deoxygenation Rate Coefficient as Component in Water Quality Modeling of Middle Segment of Citarum River, Indonesia

2019 ◽  
Vol 8 (2) ◽  
pp. 1057-1061
Keyword(s):  
Water Quality ◽  
Empirical Formula ◽  
Water Quality Modeling ◽  
Middle Segment ◽  
Rate Range ◽  
Decomposition Of Organic Matter ◽  
Quality Modeling ◽  
River Quality ◽  
Winkler Method ◽  
The Difference

Citarum River is a river that passes in the Purwakarta City at its middle segment. The riverbank is overflowing with people's houses with its wastewater outlet leading directly to the river. Various efforts can be implemented in order to improve the environmental conditions of the Citarum River. One of the activities that can be conducted is the prediction of water quality through the modeling of river quality. This domestic waste polluted river model generally uses BOD and DO equations which require the coefficient of deoxygenation rate in its calculations. This study aims to determine the value of the coefficient of deoxygenation rate using the method of laboratory experiment and using the empirical formula. The coefficient will gives more accurate result of urban river quality modeling. Samplings were carried out at two locations that are considered to represent river condition. The laboratory analysis method used in the calculation of deoxygenation rate is using Winkler Method and Slope Method, while Empirical Formula is used in calculating deoxygenation rate using Hydroscience Equation. The results of the analysis and calculations show that the value of the deoxygenation rate range (K1) in the middle segment of Citarum River ranges from 0.10 to 0.17 per day and the BOD Ultimate (La) concentration ranges from 18.46 to 24.43 mg/L. As for the value of deoxygenation rate range (K1) on Citarum River using empirical formula ranged from 0.270 to 0.278 per day. The difference in value can be attributed to the actual deoxygenation rate in the Citarum River is hampered by the factors that disrupt the process of decomposition of organic matter and its capability on self purification process.

scholarly journals DETERMINATION OF DEOXYGENATION RATE OF URBAN RIVER USING MODIFICATION METHODS FOR CITEPUS RIVER WATER, BANDUNG, INDONESIA

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Yonik Meilawati Yustiani ◽  
Mia Nurkanti ◽  
Fadhlan Khusyairi Tarigan ◽  
Gatut Sudarjanto
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Modeling ◽  
Time Span ◽  
Urban River ◽  
Test Time ◽  
Short Term ◽  
Middle Segment ◽  
Tropical Country ◽  
Quality Modeling

<span id="docs-internal-guid-9f43cecc-7fff-332e-09a3-ed0af9ff66fe"><span>River water quality modeling needs appropriate and suitable coefficients especially in application for specific river like urban river. </span><span>Aim:</span><span> This study aims to determine the value of the coefficient with a short term duration and a variable test time span.  Several ways and methods of determining the rate of deoxygenation are developed according to the characteristics of the river and the environment. Modification method was applied in this research in which the test time span was unequal. The river chosen in this study is the Citepus River, Bandung, Indonesia representing an urban river in a tropical country. </span><span>Methodology and Results:</span><span> Sampling was carried out in the dry season. The laboratory analysis method used in determining the rate of deoxygenation uses the Slope Method of data from the short term incubation, which is ten days. The results showed that the Thomas Slope method's deoxygenation rate (K1) was 0.095 per day in the upstream segment, 0.917 per day in the middle segment, and 0.180 per day in the downstream segment. While the Ultimate BOD (La) value is 46.95 mg/l in the upstream segment, 38.70 mg/l in the middle segment, and 37.60 mg/l in the downstream segment. </span><span>Conclusion, significance, and impact of study:</span><span> The results of this study show that the value of the deoxygenation rate is similar to the theoretical surface water conditions. However, in the upstream segment, there is still a low deoxygenation rate value due to non-optimal activity of microorganisms. This findings will be very useful both in water quality modeling and river management.</span></span>

Hydrodynamic and Water Quality Modeling of Lake Eğirdir

2014 ◽  
Vol 42 (11) ◽  
pp. 1573-1582 ◽  
Author(s):  
Meltem Kaçıkoç ◽  
Mehmet Beyhan
Keyword(s):  
Water Quality ◽  
Water Quality Modeling ◽  
Quality Modeling

Water quality modeling in the watershed-based approach for waste load allocations

1998 ◽  
Vol 38 (10) ◽  
pp. 165-172 ◽  
Author(s):  
Ruochuan Gu ◽  
Mei Dong
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Water Quality Modeling ◽  
Point Sources ◽  
Low Flow ◽  
Quality Analysis ◽  
Management Approach ◽  
Water Quality Control ◽  
Quality Modeling ◽  
Waste Load

The conventional method for waste load allocations (WLA) employs spatial-differentiation, considering individual point sources, and temporal-integration, using a constant flow, typically 7Q10 low flow. This paper presents a watershed-based seasonal management approach, in which non-point source as well as point sources are incorporated, seasonal design flows are used for water quality analysis, and WLA are performend in a watershed scale. The strategy for surface water quality modeling in the watershed-based approach is described. The concept of seasonal discharge management is discussed and suggested for the watershed-based approach. A case study using the method for the Des Moines River, Iowa, USA is conducted. Modeling considerations and procedure are presented. The significance of non-point source pollutant load and its impact on water quality of the river is evaluated by analyzing field data. A water quality model is selected and validated against field measurements. The model is applied to projections of future water quality situations under different watershed management and water quality control scenarios with respect to river flow and pollutant loading rate.

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