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Earth Science Informatics

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15.01.2024 | RESEARCH

Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms

verfasst von: Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, Ozgur Kisi

Erschienen in: Earth Science Informatics | Ausgabe 2/2024

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Abstract

Substantial deterioration of surface water quality, mainly caused by human activities and climate change, makes the assessment of water quality a global priority. Thus, in this study, four metaheuristic algorithms, namely the particle swarm optimization (PSO), differential evolution (DE), ant colony optimization algorithm (ACOR), and genetic algorithm (GA), were employed to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in the evaluation of surface water total dissolved solids (TDS). Monthly and annual TDS were considered as target variables in the analysis. In order to evaluate and compare the authenticity of the models, an economic factor (convergence time) and statistical indices of the coefficient of determination (R2), Kling Gupta efficiency (KGE), root mean squared error (RMSE), mean absolute error (MAE), and Nash-Sutcliff efficiency (NSE) were utilized. The results revealed that the hybrid methods used in this study could enhance the classical ANFIS performance in the analysis of the monthly and annual TDS of both stations. For more clarification, the models were ranked using the TOPSIS approach by simultaneously applying the effects of statistical parameters, temporal and spatial change factors, and convergence time. This approach significantly facilitated decision-making in ranking models. The ANFIS-ACOR annual model considering discharge had the best performance in the Vanyar Station; Furthermore, the ANFIS-ACOR monthly model ignoring discharge was outstanding in the Gotvand Station. In total, after utilizing two defined and proposed temporal and spatial change factors, the ANFIS-ACOR and ANFIS-DE hybrid models had the best and worst performance in TDS prediction, respectively.

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Vorheriger Artikel Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method

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Titel: Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
verfasst von: Mahdieh Jannatkhah
Rouhollah Davarpanah
Bahman Fakouri
Ozgur Kisi
Publikationsdatum: 15.01.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 2/2024
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-024-01220-x

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