Application of Ant-Colony-Optimization algorithm for improved management of first flush effects in urban wastewater systems

Verdaguer, Marta; Clara, Narcis; Gutiérrez, Oriol; Poch, M.

doi:10.1016/j.scitotenv.2014.02.140

Cited by 28 publications

(12 citation statements)

References 32 publications

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“…A relevant characteristic of precipitation waters is that the pollutant load discharge within a unit of time is nonuniform. The initial period of stormwater runoff, in which the pollutant concentrations are substantially higher than later, is called the first flush phenomenon (or simply the first flush) [21][22][23]. The phenomenon is most often defined by comparing the total mass of pollutants (M) and cumulative runoff volume (V).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Precipitation Characteristics on the Washout of Pollutants Based on the Example of an Urban Catchment in Kielce

Szeląg

Górski

Bąk

et al. 2021

Water

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This paper reports the results of studies on the concentrations of total suspended solids (TSS) and heavy metals (HMs) (Cu, Zn, Cr, Ni, Cd, Pb) in stormwater. Pollutant loads were calculated for the observed high water stages. Pollutographs showing M/Mc = f(V/Vc) relationships were generated. In the description of the relationships, two functions, namely the exponential and the power functions, were employed. These represented the dynamics of the pollutant washout from the surface of the catchment area. The analyses demonstrated that the exponential function provides a slightly better description of the course of the process compared with the power function. In the former case, correlation coefficients (R) ranged from 0.900 to 0.999, whereas in the latter they ranged from 0.864 to 0.999. The analyses of correlations between the characteristics describing discharge hydrographs and the values of pollutant washout coefficients indicate that the strongest statistical relationships were identified for TSS. It was demonstrated that the value of the washout coefficient for total suspended solids (kTSS) drops with an increase in rain intensity (q). This also depends on the 10-min precipitation (Ptd=10). Regarding the studied heavy metals, a statistically significant impact of the dry period (tbd) on the washout coefficient was observed only for lead (kPb). Taking into account the washout coefficient in the first flush model makes it possible to improve the accuracy of calculations. This is important for understanding the studied phenomenon.

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Section: Introductionmentioning

confidence: 99%

The Impact of Precipitation Characteristics on the Washout of Pollutants Based on the Example of an Urban Catchment in Kielce

Szeląg

Górski

Bąk

et al. 2021

Water

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“…When there are more and more ants passing a path, the residual pheromone concentration of this path will increase gradually and the probability for the ants to choose this path also increases, suggesting the positive feedback of information. In the meanwhile, with the increase of time, the pheromone intensity will decrease gradually [13,14].…”

Section: Basic Principle Of Ant Colony Algorithmmentioning

confidence: 99%

Image Restoration Based on Hybrid Ant Colony Algorithm

2015

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Image restoration is the process to eliminate or reduce the image quality degradation in the digital image formation, transmission and recording and its purpose is to process the observed degraded image Keywords: Image Restoration, Ant Colony Algorithm, Genetic AlgorithmCopyright © 2015 Universitas Ahmad Dahlan. All rights reserved. IntroductionImage restoration is to research how to restore the degraded image into real image, or to research how to invert the information obtained into the information related to the real objective [1]. Certain degree of degradation and distortion are inevitable in the formation, transmission, storage, recording and display of the image. Since image quality degradation may be caused in every link of the formation of digital image, in many cases, the image needs to be restored in order to get high-quality digital image [2].In the past decades, domestic and foreign scholars have made extensive and in-depth research in image restoration technology. Many one-dimensional signal processing and estimation theories, including inverse filtering, minimum mean error estimation and Bayesian estimation, have been used in the field of image restoration, thus forming numerous restoration algorithms. In terms of certain specific restoration problems, the scholars usually integrate many ideas and methods [3]. With the continuous development of signal processing theories, many new processing ideas and restoration methods keep emerging. In drastic contrast with the typical mathematical programming principles, some bionic intelligent optimization algorithms such as ant colony algorithm, genetic algorithm, artificial neural network technology, artificial immune algorithm and swarm intelligence algorithm, have been raised and studied by simulating the natural eco-system to seek the complicated optimization problems. These algorithms have greatly enriched modern optimization technology and provided feasible solutions to those optimization problems which are difficult to be handled by traditional optimization technology. Ant colony algorithm is a heuristic bionic evolutionary system based on population. By adopting distributed plus-feedback parallelization, this algorithm is easy to combine with other methods and it also has strong robustness, however, this algorithm requires long search time and it is easy to result in pre-mature and stagnation behaviors, slowing its convergence rate. On the other hand, genetic algorithm is a randomized adaptive search algorithm by referring to the natural selection and natural genetic mechanism and it can compute the non-linear multi-dimensional data space in a quick and effective manner. Therefore, the integration of these two techniques or algorithms can eliminate their own shortcomings and setbacks and utilize their own advantages in the image restoration [4,5]. This paper firstly summarizes the theory of image restoration systematically and analyzes the basic principle of ant colony algorithm. Then, it focuses on the research of the

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“…In [41], the work is extended while considering the quality, social and travel logistics of the cosubstrates, analysing its importance to the overall optimisation. In addition, ACO has been implemented in real-world waste sector case studies, e.g., [48,49]. Here, the work is extended to a similar real-world case study considering multiple receptors in the geographical area of the Besòs River basin (Catalonia, Spain).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Optimisation Algorithms for Centralised Anaerobic Co-Digestion in a Real River Basin Case Study in Catalonia

Palma-Heredia

Verdaguer

Puig

et al. 2022

Sensors

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Anaerobic digestion (AnD) is a process that allows the conversion of organic waste into a source of energy such as biogas, introducing sustainability and circular economy in waste treatment. AnD is an intricate process because of multiple parameters involved, and its complexity increases when the wastes are from different types of generators. In this case, a key point to achieve good performance is optimisation methods. Currently, many tools have been developed to optimise a single AnD plant. However, the study of a network of AnD plants and multiple waste generators, all in different locations, remains unexplored. This novel approach requires the use of optimisation methodologies with the capacity to deal with a highly complex combinatorial problem. This paper proposes and compares the use of three evolutionary algorithms: ant colony optimisation (ACO), genetic algorithm (GA) and particle swarm optimisation (PSO), which are especially suited for this type of application. The algorithms successfully solve the problem, using an objective function that includes terms related to quality and logistics. Their application to a real case study in Catalonia (Spain) shows their usefulness (ACO and GA to achieve maximum biogas production and PSO for safer operation conditions) for AnD facilities.

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Application of Ant-Colony-Optimization algorithm for improved management of first flush effects in urban wastewater systems

Cited by 28 publications

References 32 publications

The Impact of Precipitation Characteristics on the Washout of Pollutants Based on the Example of an Urban Catchment in Kielce

The Impact of Precipitation Characteristics on the Washout of Pollutants Based on the Example of an Urban Catchment in Kielce

Image Restoration Based on Hybrid Ant Colony Algorithm

Comparison of Optimisation Algorithms for Centralised Anaerobic Co-Digestion in a Real River Basin Case Study in Catalonia

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