A database and model to support proactive management of sediment-related sewer blockages

Rodríguez, Juan ́Pablo; McIntyre, Neil; Díaz-Granados, Mario; Maksimović, Č.

doi:10.1016/j.watres.2012.06.037

Cited by 67 publications

(51 citation statements)

References 42 publications

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“…Information on sewer systems inspections is sparse (coverage is low) and the quality of the information is not guaranteed (Rodríguez et al, 2012). For example the coverage of inspection per year in Bogota's sewer system is estimated to be 2 %, meaning that the average time between two inspections is 50 years, which is very low compared to international standards (Alluche & Freure, 2002, U.S. EPA, 1999.…”

Section: Introductionmentioning

confidence: 99%

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Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

2016

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Sewer deterioration is a problem that affects many cities of the world. This affects the structural state of the sewer systems, as well as its hydraulic capacity and the service level. As a consequence, the sewer system stakeholders are working on the development of a proactive sewer management to make decision in time and avoid public emergencies. Therefore, the objective of this work was to predict the variable state using a clustering algorithm (k-means) in Bogotá's sewer pipes based on its physical characteristics. Among the most representative results was to find a relationship between pipes' characteristics and their structural state (chi-squared). Furthermore, the slope and ground level variables were the most related ones to the state of the pipes. The detected relationships are linear and can be used to make management decisions when pipes are clustered and the clusters are mapped on a principal component plane.Keywords: k-means, sewer asset management, cluster analysis, principal components analysis (PCA), proactive sewer management, sewer pipes, structural pipes state, Bogota's sewer system. RESUMENEl deterioro de los sistemas de alcantarillado es un problema que afecta a las ciudades, no solo en su estado estructural sino también en su capacidad hidráulica y nivel de servicio. En consecuencia, los encargados del sistema de alcantarillado están trabajando en el desarrollo de una gestión proactiva para tomar decisiones a tiempo y evitar emergencias públicas. Es por esto que el objetivo de este trabajo fue predecir la condición de las tuberías en la ciudad de Bogotá utilizando algoritmos tipo cluster (k -means), para discriminar las tuberías que tienen buena condición estructural de las que no. Entre los resultados más sobresalientes se encontró una relación entre las características estructurales de las tuberías y su estado (prueba Chi -cuadrado) siendo la pendiente y la profundidad las variables más relacionadas con el estado de las tuberías. Adicionalmente, estas relaciones encontradas resultaron lineales al agrupar las tuberías en un plano de componentes principales.Palabras clave: k-means, gestión de sistemas de alcantarillado, cluster, análisis de componentes principales (ACP), gestión proactiva de alcantarillados, tuberías de alcantarillado, condición estructural de tuberías de alcantarillado, sistema de alcantarillado de Bogotá.

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Section: Introductionmentioning

confidence: 99%

“…Nevertheless, experiences show that this approach can be more expensive than using a proactive one (Rodríguez et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

2016

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“…Sedimentation in the urban drainage system leads to reduction in the hydraulic capacity of the drain, which in return can cause ash ooding [1]. One of the essential issues in sediment transport is determining the minimum velocity needed in order for the sediment to start to transport from a stagnant state (incipient motion).…”

Section: Introductionmentioning

confidence: 99%

Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

et al. 2017

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Abstract. Sediment transport is a prevalent vital process in uvial and coastal environments, and \incipient motion" is an issue inseparably bound to this topic. This study utilizes a novel hybrid method based on Group Method of Data Handling (GMDH) and Genetic Algorithm (GA) to design GMDH structural (GMDH-GA). Also, Singular Value Decomposition (SVD) was utilized to compute the linear coe cient vectors. In order to predict the densimetric Froude number (Fr), the ratio of median diameter of particle size to hydraulic radius (d=R) and the ratio of sediment deposit thickness to hydraulic radius (t s =R) are utilized as e ective parameters. Using three di erent sources of experimental data and GMDH-GA model, a new equation is proposed to predict incipient motion. The performance of development equation is compared using GMDH-GA and traditional equations . The results indicate that the presented equation is more accurate (RMSE = 0:18 and MAP E = 6:48%) than traditional methods. Also, a sensitivity analysis is presented to study the performance of each input combination in predicting incipient motion.

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“…Ana and Bauwens (2010) and Rajani and Kleiner (2001)). Therefore, Rodríguez, McIntyre, Díaz-Granados, and Maksimović (2012) opted for a statistical approach to analyse blockage events. Several studies have been devoted to deterioration modelling of main sewers through empirical equations based on physical properties such as pipe material, diameter, slope, age and depth (see e.g.…”

Section: Introductionmentioning

confidence: 99%

Analysing spatial patterns in lateral house connection blockages to support management strategies

Post

Langeveld

Clemens

2016

Structure and Infrastructure Engineering

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a faculty of civil engineering and geosciences, Section Sanitary engineering, delft university of technology, delft, the netherlands; b Partners4urbanwater, nijmegen, the netherlands; c deltares, delft, the netherlands ABSTRACTThe performance of lateral house connections has a direct impact on sewer serviceability. Despite the potential consequences of a blockage, these components are generally maintained with a reactive approach. As inspection data on the condition of lateral house connections are scarce, this study adopts a statistical procedure to support proactive strategies by analysing spatial blockage patterns to identify system parts with higher blockage incidences. First, a Monte Carlo simulation test provides insight into whether the spatial variation of the blockage likelihood is significant. This justifies the identification of explanatory factors by means of a bootstrapped generalised additive model. Application of the procedure to two databases containing 10 years of lateral house connection blockage data, revealed factors such as building age, sewer system type and ground settlement rate to explain spatial differences in the blockage likelihood. Furthermore, a likelihood ratio test demonstrated that the addition of a spatial smoother improved model performance. This smoother was able to account for additional spatial variation caused by explaining factors for which no data were available. The procedure provides key information for inspection and rehabilitation strategies by taking into account the model performance in assessing the trade-off between costs and benefits in terms of serviceability.

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A database and model to support proactive management of sediment-related sewer blockages

Cited by 67 publications

References 42 publications

Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

Analysing spatial patterns in lateral house connection blockages to support management strategies

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