Paper
20 October 2022 Simulation of total amount of pollutants into river based on MATLAB software
Kun You, Xin Wen, Zhenpeng Liu, Zhendong Gao
Author Affiliations +
Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124510R (2022) https://doi.org/10.1117/12.2656047
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
Total amount accounting of pollutants into river is the key link of total amount control system,under the condition that non-point source pollution has not been monitored effectively,according to the principle of pollutant input-output balance, MATLAB software is used to optimize the solution function, the Qing He river basin was taken as the demonstration area,the water quality monitoring data、 pollution source census data and monitoring data from 2009 to 2013 were used to build a binary statistical model for the total amount of pollutants discharged into the river. Nash efficiency coefficient (NSE) was used to verify the model coefficients, the statistical model is established and four model coefficients are proposed. The simulation results can accurately calculate the monthly amount of ammonia nitrogen into the river,the established statistical model has strong data assimilation ability, it can accurately calculate the annual amount of ammonia nitrogen into the river, the test results can meet the needs of practical research.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kun You, Xin Wen, Zhenpeng Liu, and Zhendong Gao "Simulation of total amount of pollutants into river based on MATLAB software", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124510R (20 October 2022); https://doi.org/10.1117/12.2656047
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KEYWORDS
Nitrogen

Data modeling

Binary data

MATLAB

Pollution

Statistical analysis

Computer programming

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