Application of water quality models to rivers in Johor

Chii, Puah Lih; Rahman, Haliza Abd.

doi:10.1063/1.4995941

Cited by 1 publication

(2 citation statements)

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“…Although the appearance of more complex models, the Streeter-Phelps model (and its extensions) continues to be one of the most widely used, since it is a relatively simple mathematical model. However, it injects much essential information; despite almost a century since its presentation, it continues to be used [4][5][6][7][8][9][10]: Under some assumptions, Streeter-Phelps model helps to estimate and measure the main variables for environmental studies, such as BOD and DO, via aquatic robots and algorithms observers programmed, thus improving the environmental monitoring of rivers. Together, BOD and DO are the parameters that represent the largest number of pollutants in water bodies.…”

Section: Mathematical Model and Problem Statementmentioning

confidence: 99%

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A Fractional High-Gain Nonlinear Observer Design—Application for Rivers Environmental Monitoring Model

Rodríguez-Mata

Bustos-Terrones

Gonzalez-Huitron

et al. 2020

MCA

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The deterioration of current environmental water sources has led to the need to find ways to monitor water quality conditions. In this paper, we propose the use of Streeter–Phelps contaminant distribution models and state estimation techniques (observer) to be able to estimate variables that are very difficult to measure in rivers with online sensors, such as Biochemical Oxygen Demand (BOD). We propose the design of a novel Fractional Order High Gain Observer (FOHO) and consider the use of Lyapunov convergence functions to demonstrate stability, as it is compared to classical extended Luenberger Observer published in the literature, to study the convergence in BOD estimation in rivers. The proposed methodology was used to estimated Dissolved oxygen (DO) and BOD monitoring of River Culiacan, Sinaloa, Mexico. The use of fractional order in high-gain observers has a very effective effect on BOD estimation performance, as shown by our numerical studies. The theoretical results have shown that robust observer design can help solve problems in estimating complex variables.

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Section: Mathematical Model and Problem Statementmentioning

confidence: 99%

“…Therefore, almost all modern timeline researchers have done an enormous amount of research in improving and developing water quality models [4]. Due to their relevance, experts in environmental river control are still employing it to obtain mathematical models of water quality from rivers and lakes [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%