Water Quality Modeling For Pollutant Carrying Capacity Assessment Using Qual2Kw In Bedog River (original) (raw)

WATER QUALITY MODELLING AND ASSESSMENT OF THE BURIGANGA RIVER USING QUAL2K

Global Mainstream Journal

The Buriganga River runs through Dhaka's south and west sides. Due to the anthropogenic involvement of essential pollutants such as industrial effluents, urban sewage, and solid wastes in this area, the water quality of this river has been a source of worry. The Dissolved Oxygen of the river water showed a variation from 0.50 mg/L to 3.5 mg/l. The BOD of the river water was shown in a variation of 27.50 mg/L to 129.7 mg/L, where the mean value was 78.6 mg/L. Although Biochemical Oxygen Demand (BOD) is not a water quality parameter, it is the most widely utilized indicator of a surface water body's overall health. The COD of water from the river Buriganga was 65.

SIMULATION OF POLLUTION LOAD CAPACITY USING QUAL2Kw IN BABON RIVER

2015

Babon River is one of the important rivers in Central Java through the Semarang Regency, Semarang City and Demak Regency. However, the amount of domestic, agricultural and industrial waste dumped into Babon River leads to increased pollution load and decrease in capacity. This study aimed to calculate the pollution load capacity using the Streeter Phelps method with appllied QUAL2Kw program to describing the quality of river water through the profiles of BOD, COD and TSS. And then it was compared with the standard stream due to Government Regulation No. 82/2001 about Management of Water Quality and Water Pollution Control. The study area includes Babon River from upstream to downstream that divided into 8 segments. The simulation BOD’s curve, COD’s curve and TSS’s curve results that maximum pollution load capacity of the Babon River for BOD and COD parameters contained in the segment 8 and the TSS parameter is in segment 2, while for the minimum pollution load capacity for BOD...

Application of QUAL2Kw for water quality modeling and dissolved oxygen control in the river Bagmati

Environmental Monitoring and Assessment, 2007

A stream water quality model, QUAL2Kw, was calibrated and validated for the river Bagmati of Nepal. The model represented the field data quite well with some exceptions. The influences of various water quality management strategies have on DO concentrations were examined considering: (i) pollution loads modification; (ii) flow augmentation; (iii) local oxygenation. The study showed the local oxygenation is effective in raising DO levels. The combination of wastewater modification, flow augmentation and local oxygenation is necessary to ensure minimum DO concentrations. This reasonable modeling guarantees the use of QUAL2Kw for future river water quality policy options.

Determination of Pollution Load Capacity Using QUAL2Kw Program on The Musi River Palembang

Civil and Environmental Science

The Object of this research is a river named Musi, located in Palembang City, South of Sumatera, which is one of the longest and the biggest river in Indonesia. The condition of water quality in this river must be concerned because the high demand is not balanced with a good water quality. So, the aim of this study is to determine the value of the pollution load capacity, which is useful for consideration to government on water quality improvement policy. QUAL2Kw is used as an application to calculate the pollution capacity which entered to each river segment. There are 3 scenarios in this study, simulation 1 is calibrated model, simulation 2 is maximum of pollutant load condition, and simulation 3 is minimum of pollutant load condition. The value of pollutant load capacity is obtained from the difference between simulation 2 and simulation 3. The results show that the pollution load capacity on Musi River (particularly segment Pulokerto-PT. Baja Baru) in 2016 sequentially 12948 kgDO/day, 25205 kgBOD5/day, 3207 kg/ NH3-N day, 642 kg PO4/day.

Water Quality Modelling Qual 2KW for River Tungabhadra (India).

International Journal of Recent Technology and Engineering (IJRTE), 2020

 Abstract: The River Tungabhadra takes its course through the Davangere district of Karnataka state of India. Along this course lies Harihar, the administrative headquarters of Harihar Taluk and other villages which are linear settlements on the bank of the River. These human settlements discharge untreated domestic waste and industrial effluent into the water as it flows. Therefore, it is imperative to study the degree of pollution of this water and ascertain its suitability for various uses. In this study, we shall make use of QUAL2Kw water quality model to predict the quality of water in the sections of the River that have been polluted. While making use of this Model, it was calibrated and validated for Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), and Total Nitrogen (TN) during the pre-monsoon season. The data derived from the field and laboratory measurements were applied for the calibration and validation. The statistical method applied for the evaluation of the model performance was Standard Errors (SE) and Mean Multiplicative Error (MME). It was found that the Model is a good representation of the field data, but there are some minor exceptions. Although there are differences between the simulated data and the one measured in some instances, the results of the calibration and validation data are still acceptable. This type of result is applicable, especially in developing nations, where there are insufficient funds for frequent monitoring campaigns or more accurate research methodologies.

Application of QUAL2K for Water Quality Modeling and Management in the lower reach of the Diyala river

Iraqi Journal of Civil Engineering, 2017

The current study includes application of QUAL2K model to predict the dissolved oxygen (DO) and Biochemical Oxygen Demand (BOD5) of lower reach of the Diyala River in a stretch of 16.90km using hydraulic and water quality data collected from Ministry of Water Resources for the period (January-April 2014). Google Earth and Arc-GIS technique were used in this study as supported tools to provide some QUAL2K input hydro-geometric data. The model parameters were calibrated for the dry flow period by trial and error until the simulated results agreed well with the observed data. The model performance was measured using different statistical criteria such as mean absolute error (MAE), root mean square error (RMSE) and relative error (RE). The results showed that the simulated values were in good agreement with the observed values. Model output for calibration showed that DO and CBOD concentration were not within the allowable limits for preserving the ecological health of the river with range values (2.51-4.80 mg/L) and (18.75-25.10 mg/L) respectively. Moreover, QUAL2K was used to simulate different scenarios (pollution loads modification, flow augmentation and local oxygenation) in order to manage the water quality during critical period (low flow), and to preserve the minimum requirement of DO concentration in the river. The scenarios results showed the pollution loads modification and local oxygenation are effective in raising DO levels. While flow augmentation does not give significant results in which the level of DO decrease even with reduction in the BOD5 for point sources. The combination of wastewater modification and local oxygenation (BOD5 of the discharged effluent from point sources should not exceed 15 mg/L and weir construction at critical positions 6.67km from the beginning of the study region with 1m height) is necessary to ensure minimum DO concentrations.

Application of Automated QUAL2Kw for Water Quality Modeling in the Kabini River, Mysuru

International Journal of Scientific Research in Science and Technology, 2021

River Kabini, during its course through Sutturu village, Mysuru district in Karnataka state (India), receives agricultural runoff and untreated domestic waste on the bank of the river. The present study involves the application of water quality model QUAL2Kw to predict the water quality of the selected river stretch. The model was calibrated and validated for Dissolved Oxygen, Organic Nitrogen, Ammonium Nitrogen, Nitrate Nitrogen, Organic Phosphorus, and Inorganic Phosphorus in pre-monsoon season. Data for calibration and validation were obtained after the field and laboratory measurements. The performance of the model was evaluated using statistics based on Root mean square errors (RMSE). The RMSE for Dissolved Oxygen, Organic Nitrogen, Ammonium Nitrogen, Nitrate Nitrogen, Organic Phosphorus, and Inorganic Phosphorus during calibration are 2.86, 11.42, 14.11, 12.68, 3.25 and 12.70. Corresponding values for the validation are 1.04, 1.16, 0.05, 0.04, 0.29 and 0.68. In spite of some differences between the measured and simulated data sets at some points, the calibration and validation results are acceptable.

Assessment of Surface Water Quality Using Qual2k Software: A Case Study of River Yamuna, India

In current years, water quality degradation related with rapid socioeconomic development in the River Yamuna, India has attracted increasing attention from both public and Indian government. The principal sources of pollution in River Yamuna are effluent discharge from the industries and domestic sewage. The effective water environmental management strategies required to be implement in this river to upgrade the water quality and to ensure sustainable development in the region. The aim of this work was to provide a basis for water environmental management in process of making important decisions. In this study Qual2k is used as model to identify the processes that underlie river and stream water quality problems in a basin. This will be applied to predict the water quality parameters such as Temperature, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD) and pH and the most sensitive parameter of the model that influence Yamuna River. The scope of the research is from Delhi Stretch of Wazirabad to Oklah route of the river.

Spatial Distribution of Potential Pollution Load Point Source of Bedadung River in the Urban Area Segment

Forum Geografi, 2022

Land use influences the water quality of rivers. The variety of community activities in urban areas and a poor domestic sewage system are thought to affect the water quality of the Bedadung River, Jember Regency, Indonesia. Point source pollution is the dominant cause of degradation in the quality of the water in the Bedadung River, as identified by dissolved oxygen (DO) and Biochemical Oxygen Demand (BOD). This study was conducted to determine the potential point source pollution load of the Bedadung River in an urban area using land use information and pollution load-BOD data. All data were combined and processed using a Geographical Information System (GIS). The data were analyzed and plotted on a map depicting the distribution of potential point source pollutant loads in the Bedadung River urban area segment in Jember Regency. The results of the land use analysis in the urban area segment show that paddy fields accounted for 18.97% of the total study area, with fields at 5.98%, gardens at 12.85%, and rivers at 12.25%, while settlements covered the largest land area, on 49.96%. The results for the potential point source pollution load show that Kaliwates village had the highest potential pollution load value, at 13.966 kg/day. The lowest was Antirogo village, at 0.004 kg/day, while the total point source pollution load was 36.31 kg/day. An evaluation of point source pollution impact is required to control river pollution in urban areas, namely the development of communal Waste Water Treatment Plant (WWTP) in urban area segments.