Current European approaches in highway runoff management: A review

Mooselu, Mehrdad Ghorbani; Liltved, Helge; Hindar, Atle; Amiri, Hamid

doi:10.1016/j.envc.2022.100464

Cited by 4 publications

(2 citation statements)

References 161 publications

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“…The correct characteristic depends on the sampling strategy chosen and the analytical methods used. Since runoff from roads is associated with precipitation, it is recommended to carry out sampling during such weather events [8].…”

Section: Analysis Of the Scientific Literature On The Formation Of Pe...mentioning

confidence: 99%

The Results of Surface Wastewater Treatment of a Machine-Building Enterprise From Petroleum Product Contamination

2024

IJOMAM

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Section: Analysis Of the Scientific Literature On The Formation Of Pe...mentioning

confidence: 99%

The Results of Surface Wastewater Treatment of a Machine-Building Enterprise From Petroleum Product Contamination

2024

IJOMAM

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“…Among them, the uncertainty definition of a random variable is used to describe the amount of information of the variable. The more information required to describe the variable, the greater the uncertainty of the variable and the greater the information entropy (Monache et al, 2008;Retzer et al, 2009;Mooselu et al, 2020). Based on the above research progress, this paper establishes the SWMM pipe network model; uses the SWMM model to simulate the result under the condition of determining the initial monitoring time, monitoring interval, and monitoring times; takes the information entropy as the evaluation index to calculate the optimal monitoring schemes under different monitoring types; screens and selects the monitoring scheme that takes into account the monitoring cost and monitoring accuracy; and finally, operates with the selected monitoring scheme To summarize, the optimal design of a drainage pipe network monitoring network that can provide accurate information is very important to improve our understanding of complex pipe network systems and reduce heavy and unnecessary capital expenditure (Zhang et al, 2015;Yang et al, 2020).…”

Section: Optimal Design Of the Monitoring Points Based On Information...mentioning

confidence: 99%

Intelligent optimal layout of drainage pipe network monitoring points based on information entropy theory

He,

Zhang,

et al. 2024

Front. Environ. Sci.

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The rapid expansion of urban drainage pipe networks, driven by economic development, poses significant challenges for efficient monitoring and management. The complexity and scale of these networks make it difficult to effectively monitor and manage the discharge of urban domestic sewage, rainwater, and industrial effluents, leading to illegal discharges, leakage, environmental pollution, and economic losses. Efficient management relies on a rational layout of drainage pipe network monitoring points. However, existing research on optimal monitoring point layout is limited, primarily relying on manual analysis and fuzzy clustering methods, which are prone to human bias and ineffective monitoring data. To address these limitations, this study proposes a coupled model approach for the automatic optimization of monitoring point placement in drainage pipe networks. The proposed model integrates the information entropy index, Bayesian reasoning, the Monte Carlo method, and the stormwater management model (SWMM) to optimize monitoring point placement objectively and measurably. The information entropy algorithm is utilized to quantify the uncertainty and complexity of the drainage pipe network, facilitating the identification of optimal monitoring point locations. Bayesian reasoning is employed to update probabilities based on observed data, while the Monte Carlo method generates probabilistic distributions for uncertain parameters. The SWMM is utilized to simulate stormwater runoff and pollutant transport within the drainage pipe network. Results indicate that (1) the relative mean error of the parameter inversion simulation results of the pollution source tracking model is linearly fitted with the information entropy. The calculation shows that there is a good positive linear correlation between them, which verifies the feasibility of the information entropy algorithm in the field of monitoring node optimization; (2) the information entropy algorithm can be well applied to the optimal layout of a single monitoring node and multiple monitoring nodes, and it can correspond well to the inversion results of the tracking model parameters; (3) the constructed monitoring point optimization model can well realize the optimal layout of monitoring points of a drainage pipe network. Finally, the pollution source tracking model is used to verify the effectiveness of the optimal layout of monitoring points, and the whole process has less human participation and a high degree of automation. The automated monitoring point optimization layout model proposed in this study has been successfully applied in practical cases, significantly improving the efficiency of urban drainage network monitoring and reducing the degree of manual participation, which has important practical significance for improving the level of urban water environment management.

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From the highway to receiving water bodies: identification and simultaneous quantification of small microplastics (< 100 µm) in highway stormwater runoff

Rosso,

Vezzaro,

Bravo

et al. 2024

Environ Sci Pollut Res

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Current European approaches in highway runoff management: A review

Cited by 4 publications

References 161 publications

The Results of Surface Wastewater Treatment of a Machine-Building Enterprise From Petroleum Product Contamination

The Results of Surface Wastewater Treatment of a Machine-Building Enterprise From Petroleum Product Contamination

Intelligent optimal layout of drainage pipe network monitoring points based on information entropy theory

From the highway to receiving water bodies: identification and simultaneous quantification of small microplastics (< 100 µm) in highway stormwater runoff

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