ABSTRACT:
The study was aimed to sequential calibration for any water quality model using reach-specific estimates of model parameters, which would aid in the prediction of sophisticated river or stream water quality characteristics and accounts for the heterogeneity of stream reaches as diverse estimates. The QUAL2K water quality model with computing MATLAB software provides sequential estimation of reach-wise parameters using a grid-based weighted mean optimization. The Sheetalpur (Saran) segment of the Pattipul stream is selected as river stretch in this study and observations of DO and BOD are used to calibrate and validate QUAL2K model, where desired performance measures are obtained during the calibration and the validation period. This technique proves superior to the existing methods and also captures the system behavior as systematic and efficient approach. This study is expected to help decision-makers in formulating better reach-wise management decisions and treatment policies by providing a simpler and efficient tool to simulate water quality parameters.
Cite this article:
Prashant Kumar, Suman Saurabh. Calibration of QUAL2K water quality model in Pattipul stream (Saran) with Site-specific Parameters. Research Journal of Science and Technology. 2023; 15(2):105-0. doi: 10.52711/2349-2988.2023.00018
Cite(Electronic):
Prashant Kumar, Suman Saurabh. Calibration of QUAL2K water quality model in Pattipul stream (Saran) with Site-specific Parameters. Research Journal of Science and Technology. 2023; 15(2):105-0. doi: 10.52711/2349-2988.2023.00018 Available on: https://rjstonline.com/AbstractView.aspx?PID=2023-15-2-6
REFERENCES:
1. Bowie GL, Mills WB, Porcella DB, Campbell CL, Pagenkopf JR, Rupp GL, Johnson KM, Chan PWH, Gherini SA and Chamberlin CE (1985): Rates, Constants, and Kinetics Formulations in Surface Water Quality Modeling. US Environmental Protection Agency, EPA/600/ 3-85/040.
2. Chapra SC, Pelletier GJ and Tao H (2005): QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality: Documentation and Users Manual, Civil and Environmental Engineering Department, Tufts University Medford, USA.
3. Chapra SC, Pelletier GJ and Tao H (2008): QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality: Documentation and Users Manual, Civil and Environmental Engineering Department, Tufts University, Medford, MA, USA.
4. Chiu YC, Chiang CW and Lee TY (2016): Time series modeling of biochemical oxygen demand at the upstream catchment of Feitsui Reservoir, Taiwan. Hydrology Research 47 (5): 1069-1085.
5. Lazar AN, Wade AJ, Whitehead PG, Neal C and Loewenthal M (2012): Reconciling observed and modeled phytoplankton dynamics in a major lowland UK river, the Thames. Hydrology Research 43 (5), 576–588.
6. Lindstrom G (2010): Lake water levels for calibration of the S-HYPE model. Hydrology Research 47 (4): 672-682.
7. Lindström G, Pers C, Rosberg J, Strömqvist J and Arheimer B (2016): Development and testing to the HYPE (Hydrological predictions for the environment) water quality model for different spatial scales. Hydrology Research 41 (3-4): 295-319.
8. Liu S, Butler D, Brazier R, Heathwaite L and Khu ST (2007): Using genetic algorithms to calibrate a water quality model. Science of the Total Environment, 374 (2): 260-272.
9. Ng AWM and Perera BJC (2003): Selection of genetic algorithm operators for river water quality model calibration. Engineering Applications of Artificial Intelligence, 165 (6): 529-541.
10. Paliwal R, Sharma P and Kansal A (2007): Water quality modeling of the river Yamuna (India) using QUAL2E-UNCAS. Journal of Environmental Management, 83 (2): 131-144.
11. Parmar DL and Keshari AK (2012): Sensitivity analysis of water quality of the River Yamuna, India. Environmental Monitoring Assessment 184, 1487-1508.
12. Rehana S and Mujumdar PP (2011): River water quality response under hypothetical climate change scenarios in Tunga-Bhadra River, India. Hydrological Processes 25 (22): 3373-386.
13. Sharma D and Singh RK (2009): DO-BOD modeling of River Yamuna for national capital territory, India using STREAM II: A 2D water quality model. Environmental Monitoring Assessment 159 (1-4): 231-240.
14. Singh AP, Ghosh SK and Sharma P (2007): Water quality management of a stretch of river Yamuna: an interactive fuzzy multi-objective approach. Water Resources Management 21 (2): 515-553.
15. USEPA (1985): Rates, Constants and Kinetics Formulations in Surface Water Quality (2nd Edn), EPA 600/3-85-040, US Environmental Protection Agency Athens USA.
16. Walling B (2014): Impact of climate change on river water quality: A case study on Yamuna River. M. Tech Thesis, Department of Civil Engineering, Indian Institute of Technology, Delhi.
17. Walling B, Chaudhary S, Dhanya CT and Kumar A (2017): Estimation of environmental flow incorporated water quality and hypothetical climate change scenario. Environment monitoring assessment,189:225.
18. Wang A, Tang L and Yang D (2016): Spatial and temporal variability of nitrogen load from catchment and retention along a river network: A case study in the upper Xinanjiang catchment of China. Hydrology Research 47 (4): 869-887.
19. Zhang R, Qian X, Yuan X, Ye R, Xia B and Wang Y (2012): Simulation of water environmental capacity and pollution load reduction using QUAL2K for water environmental management. International Journal of Environmental Research and Public Health, 9: 4504-4521.