Testing of new stormwater pollution build-up algorithms informed by a genetic programming approach

Zhang, Kefeng; Deletić, Ana; Bach, Peter M.; Shi, Baiqian; Hathaway, Jon M.; McCarthy, David Thomas

doi:10.1016/j.jenvman.2019.04.009

Cited by 18 publications

(8 citation statements)

References 37 publications

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“…The saved money can help with increasing the total number of sites of a distributed sensing network without breaking the limited budget. Therefore, for monitoring purpose like future stormwater model development that requires better understanding of the flow dynamic within one catchment [ 4 , 36 ], more than 10 developed low-cost sensors can be installed at different locations by spending the same amount of money as installing one high-end sensing station at the catchment outlet.…”

Section: Resultsmentioning

confidence: 99%

A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks

Shi

Catsamas

Kolotelo

et al. 2021

Sensors

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High-resolution data collection of the urban stormwater network is crucial for future asset management and illicit discharge detection, but often too expensive as sensors and ongoing frequent maintenance works are not affordable. We developed an integrated water depth, electrical conductivity (EC), and temperature sensor that is inexpensive (USD 25), low power, and easily implemented in urban drainage networks. Our low-cost sensor reliably measures the rate-of-change of water level without any re-calibration by comparing with industry-standard instruments such as HACH and HORIBA’s probes. To overcome the observed drift of level sensors, we developed an automated re-calibration approach, which significantly improved its accuracy. For applications like monitoring stormwater drains, such an approach will make higher-resolution sensing feasible from the budget control considerations, since the regular sensor re-calibration will no longer be required. For other applications like monitoring wetlands or wastewater networks, a manual re-calibration every two weeks is required to limit the sensor’s inaccuracies to ±10 mm. Apart from only being used as a calibrator for the level sensor, the conductivity sensor in this study adequately monitored EC between 0 and 10 mS/cm with a 17% relative uncertainty, which is sufficient for stormwater monitoring, especially for real-time detection of poor stormwater quality inputs. Overall, our proposed sensor can be rapidly and densely deployed in the urban drainage network for revolutionised high-density monitoring that cannot be achieved before with high-end loggers and sensors.

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Section: Resultsmentioning

confidence: 99%

A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks

Shi

Catsamas

Kolotelo

et al. 2021

Sensors

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“…It has been utilized in many production and service industries [86]. The GP has been frequently used in many timing problems such as dynamic job shop scheduling(JSS) [8], [87] production scheduling [88], action scheduling [89] scheduling in heterogeneous network [90], [91] Environmental, natural disasters and agriculture: GP methods have used especially for data modeling and forecasting in many areas such as carbon emission [92], monitoring of volcanoes [93], earthquake prediction [94], atmosphere studies [95], airflow measurement [96], modeling rainwater quality [97], analysis of agricultural yield response [98], reservoir operations and irrigation [9]. Classification: The relevance of the selected features is one of the important factors that can affect the classification performance.…”

Section: Artificial Neural Network (Ann) Design: a Corporation Of Artificial Neural Network (Ann)mentioning

confidence: 99%

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Ari

Alagöz

2021

Sakarya University Journal of Science

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Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed with great interest by many researchers. When GP first appeared, it has become a popular computational intelligence method because of its successful applications and its potentials to find effective solutions for difficult practical problems of many different disciplines. With the use of GP in a wide variety of areas, numerous variants of GP methods have emerged to provide more effective solutions for computation problems of diverse application fields. Therefore, GP has a very rich literature that is progressively growing. Many GP software tools developed along with process of GP algorithms. There is a need for an inclusive survey of GP literature from the beginning to today of GP in order to reveal the role of GP in the computational intelligence field. This survey study aims to provide an overview of the growing GP literature in a systematic way. The researchers, who need to implement GP methods, can gain insight of potentials in GP methods, their essential drawbacks and prevalent superiorities. Accordingly, taxonomy of GP methods is given by a systematic review of popular GP methods. In this manner, GP methods are analyzed according to two main categories, which consider the discrepancies in their program (chromosome) representation styles and their methodologies. Besides, GP applications in diverse problems are summarized. This literature survey is especially useful for new researchers to gain the required broad perspective before implementing a GP method in their problems.

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“…This was hypothesized to be due to site‐specific extrinsic factors, such as street sweeping, wind, and particle distribution. In an effort to improve the prediction of the buildup process, a genetic programming (GP) approach was explored to develop buildup algorithms for TSS, TP, and TN (Zhang et al, 2019). The GP models outperformed traditional approaches but still struggled to predict buildup (max NSE of 0.54 during validation).…”

Section: General Stormwatermentioning

confidence: 99%

Urban stormwater characterization, control, and treatment

Rodak

Jayakaran

Moore

et al. 2020

Water Environment Research

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This review summarizes over 280 studies published in 2019 related to the characterization, control, and management of urban stormwater runoff. A summary of quantity and quality concerns is provided in the first section of the review, serving as the foundation for the following sections which focus on the control and treatment of stormwater runoff. Finally, the impact of stormwater control devices at the watershed scale is discussed. Each section provides a self-contained overview of the 2019 literature, common themes, and future work. Several themes emerged from the 2019 literature including exploration of substrate amendments for improved water quality effluent from stormwater controls, the continued study of the role of vegetation in green infrastructure practices, and a call to action for the development of new models which generate reliable, computationally efficient results under the physical, chemical, biological, and social complexity of stormwater management. © 2020 Water Environment Federation • Practitioner points • Over 280 studies were published in 2019 related to the characterization, control, and treatment of urban stormwater. • Studies on bioretention and general stormwater characteristics represented the two most common subtopics in 2019. • Trends in 2019 included novel substrate amendments, studies on the role of vegetation, and advancements in computational models.

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Testing of new stormwater pollution build-up algorithms informed by a genetic programming approach

Cited by 18 publications

References 37 publications

A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks

A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Urban stormwater characterization, control, and treatment

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