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

Author(s):  
Yonik Meilawati Yustiani ◽  
Mia Nurkanti ◽  
Fadhlan Khusyairi Tarigan ◽  
Gatut Sudarjanto

<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>

1987 ◽  
Vol 19 (9) ◽  
pp. 119-124
Author(s):  
M. A. Santos ◽  
J. R. Costa

A research project on “Methodologies for Water Resources Policy Analysis” is under current development at the National Laboratory for Civil Engineering, Portugal. Its main objectives are to develop and test techniques, computational tools and procedures which may help in the design of water resources plans, in the comparison and evaluation of alternative strategies and in real time drainage basin management and operation. In order to achieve these objectives the technical activity of the project has tackled such water resources problems as the assessment of water availability and demands, the characterization of river water quality and wastewater, water pollution control and river water quality modeling. Also, effective technology transfer from technicians to local, regional and national managers and decision-makers has been tried. In this paper, the main project activities are summarized, some of the achievements are pointed out and its most significant results are presented.


2007 ◽  
Vol 56 (1) ◽  
pp. 155-162 ◽  
Author(s):  
K.S. Jun ◽  
J.W. Kang ◽  
K.S. Lee

Diffuse pollution sources along a stream reach are very difficult to both monitor and estimate. In this paper, a systematic method using an optimal estimation algorithm is presented for simultaneous estimation of diffuse pollution and model parameters in a stream water quality model. It was applied with the QUAL2E model to the South Han River in South Korea for optimal estimation of kinetic constants and diffuse loads along the river. Initial calibration results for kinetic constants selected from a sensitivity analysis reveal that diffuse source inputs for nitrogen and phosphorus are essential to satisfy the system mass balance. Diffuse loads for total nitrogen and total phosphorus were estimated by solving the expanded inverse problem. Comparison of kinetic constants estimated simultaneously with diffuse sources to those estimated without diffuse loads, suggests that diffuse sources must be included in the optimization not only for its own estimation but also for adequate estimation of the model parameters. Application of the optimization method to river water quality modeling is discussed in terms of the sensitivity coefficient matrix structure.


2021 ◽  
Author(s):  
André Fonseca ◽  
Cidália Botelho ◽  
Rui Boaventura ◽  
Vitor Vilar

Abstract The uncertainty on model predictions to evaluate river water quality is often high to delineate appropriate conclusions. This study presents the statistical evaluation of the water quality modeling system Hydrologic Simulation Program FORTRAN as a tool to improve monitoring planning and mitigate uncertainty in water quality predictions. It also presents findings in determining HSPF model’s sensitivity analysis concerning water quality predictions. The computer model was applied to Ave River watershed, Portugal. The hydrology was calibrated at two stations from January 1990 to December 1994 and validated from January 1995 to December 1999. A two-step statistical evaluation framework is presented based on the most common hydrology criteria for model calibration and validation and, a Monte Carlo methodology uncertainty evaluation approach coupled with multi parametric sensitivity analyses to assess model uncertainty and parameter sensitivity. Fourteen HSPF water quality parameters probability distributions are used as input factors for the Monte Carlo simulation. The simulation results for in stream fecal coliform concentrations was found to be most sensitive to parameters that represent first order decay rate and surface runoff that removes 90 percent of fecal coliform from pervious land surface rather than accumulation and maximum storage rates. Regarding oxygen governing process (DO, BOD, NO3, PO4), benthal oxygen demand and nitrification/denitrification rates were the most sensitive parameters.


2019 ◽  
Vol 8 (2) ◽  
pp. 1057-1061

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.


2021 ◽  
pp. 157-204
Author(s):  
Clark C.K. Liu ◽  
Pengzhi Lin ◽  
Hong Xiao

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