Multi-objective optimization of biological nitrogen removal process in industrial wastewater based on GPS-X simulation and entropy-weighted TOPSIS

Shishan Zhou

doi:10.1016/j.jwpe.2026.110743

Multi-objective optimization of biological nitrogen removal process in industrial wastewater based on GPS-X simulation and entropy-weighted TOPSIS

2026-08-11

0

PRE

AI

S

Shishan Zhou

Y

Yongchao Zhao

J

Jiangli Lin *

S

Shuailian Zhao

X

Xiaojing Yao

X

Xiuling Zhu

X

Xiangyun Wei

Z

Zhen Su

DOI：10.1016/j.jwpe.2026.110743

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Abstract

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• GPS-X/RSM/entropy-weighted TOPSIS optimized N removal for high-ammonia, low-C/N coal chemical wastewater. • Optimization of five key parameters improved TN removal from 62.31% to 91.45% and aeration power by 25.3%. • Entropy-weighted TOPSIS balanced effluent quality and energy, with COD and TN as the dominant factors.

Keywords:

Low C/N ratio wastewater

GPS-X simulation

Total nitrogen removal

Entropy-weighted TOPSIS

Multi-objective optimization

Multi-objective optimization of biological nitrogen removal process in industrial wastewater based on GPS-X simulation and entropy-weighted TOPSIS

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