Pub Date : 2023-08-01DOI: 10.1080/1573062X.2023.2239782
M. Saravanabalaji, N. Sivakumaran, S. Ranganthan, V. Athappan
ABSTRACT Water supply pipeline leakage is a major issue around the world. Leak detection and remediation can prevent water scarcity and some other problems. As a result, investigating pipeline leak-detecting technology has a high practical value. This study employs a promising technique for detecting pipeline leaks using Acoustic Emission (AE) signals. A dytran acceleration sensor was used to collect leakage signals in the time domain. The time-domain signal is transformed into a frequency domain by employing Fast Fourier Transform (FFT). The produced frequency signal has many dimensions which can be reduced to 17 by Principal Component Analysis (PCA). Intelligent leakage diagnosis techniques should eliminate time, and human intervention, and increase effectiveness. Machine learning (ML) models come into play at this point. To detect leakage, the hybrid ML model is proposed and it is compared with the conventional ML models. The best model for detecting water leakage is identified using the classification metrics.
{"title":"Acoustic signal based water leakage detection system using hybrid machine learning model","authors":"M. Saravanabalaji, N. Sivakumaran, S. Ranganthan, V. Athappan","doi":"10.1080/1573062X.2023.2239782","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2239782","url":null,"abstract":"ABSTRACT Water supply pipeline leakage is a major issue around the world. Leak detection and remediation can prevent water scarcity and some other problems. As a result, investigating pipeline leak-detecting technology has a high practical value. This study employs a promising technique for detecting pipeline leaks using Acoustic Emission (AE) signals. A dytran acceleration sensor was used to collect leakage signals in the time domain. The time-domain signal is transformed into a frequency domain by employing Fast Fourier Transform (FFT). The produced frequency signal has many dimensions which can be reduced to 17 by Principal Component Analysis (PCA). Intelligent leakage diagnosis techniques should eliminate time, and human intervention, and increase effectiveness. Machine learning (ML) models come into play at this point. To detect leakage, the hybrid ML model is proposed and it is compared with the conventional ML models. The best model for detecting water leakage is identified using the classification metrics.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1123 - 1139"},"PeriodicalIF":2.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49625459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-25DOI: 10.1080/1573062X.2023.2240309
Felix Schmid, J. Leandro
ABSTRACT Stormwater surcharge events are unavoidable above a certain rainfall intensity. Thus, for protection and damage mitigation, forecast systems are of outstanding importance. This study develops an ensemble forecast system (EFS) to predict the beginning and end of sewer surcharge events. It applies a nonlinear autoregressive with exogenous inputs (NARX) network to each member of the ensemble, making it suitable for real-time predictions. The fundamental idea is the forecast of water depth time series within manholes based on the given rainfall. The novelty lies in the consideration of uncertainty through the ensemble structure for which the numbers of neurons in the hidden layer, the weights, and biases are considered to be uncertain. The results are evaluated based on observed values captured within the uncertainty band ), and the width of the band ). The varied between 74% and 94% and the between 1.36 and 10.68.
{"title":"An ensemble data-driven approach for incorporating uncertainty in the forecasting of stormwater sewer surcharge","authors":"Felix Schmid, J. Leandro","doi":"10.1080/1573062X.2023.2240309","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2240309","url":null,"abstract":"ABSTRACT Stormwater surcharge events are unavoidable above a certain rainfall intensity. Thus, for protection and damage mitigation, forecast systems are of outstanding importance. This study develops an ensemble forecast system (EFS) to predict the beginning and end of sewer surcharge events. It applies a nonlinear autoregressive with exogenous inputs (NARX) network to each member of the ensemble, making it suitable for real-time predictions. The fundamental idea is the forecast of water depth time series within manholes based on the given rainfall. The novelty lies in the consideration of uncertainty through the ensemble structure for which the numbers of neurons in the hidden layer, the weights, and biases are considered to be uncertain. The results are evaluated based on observed values captured within the uncertainty band ), and the width of the band ). The varied between 74% and 94% and the between 1.36 and 10.68.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1140 - 1156"},"PeriodicalIF":2.7,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45026559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-21DOI: 10.1080/1573062X.2023.2229289
M. Monadi, M. Mohammadi
ABSTRACT To investigate the sedimentation through urban wastewater pipelines a semicircular polyethylene pipeline of diameter 0.40 m and length 18 m in nearly horizontal orientation with a longitudinal slope of 0.01 for a discharge capacity of 0.0147 m3/s and a volumetric flow concentration of 30% has been used. The solid phase consists of three different particle sizes i.e. 0.25 × 10−3m, 0.35 × 10−3 m and 0.50 × 10−3m with the greatest frequency in the wastewater flow being a density of 2650 kg/m3. The flow has been simulated by Ansys-Fluent (2020) software. The effects of particle size on various slurry flow parameters such as pressure drop, solid phase velocity distribution, friction factor, granular pressure, turbulent viscosity, turbulent kinetic energy and its dissipation all have been analyzed. The location of maximum deposition is also determined and it occurred at x/R = 77.5. Finally, a relationship between the thickness of sedimentation and volume concentration has been proposed.
{"title":"Sedimentation in heavy laden urban combined sewer conduits using a multi-phase Eulerian-Eulerian model","authors":"M. Monadi, M. Mohammadi","doi":"10.1080/1573062X.2023.2229289","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2229289","url":null,"abstract":"ABSTRACT To investigate the sedimentation through urban wastewater pipelines a semicircular polyethylene pipeline of diameter 0.40 m and length 18 m in nearly horizontal orientation with a longitudinal slope of 0.01 for a discharge capacity of 0.0147 m3/s and a volumetric flow concentration of 30% has been used. The solid phase consists of three different particle sizes i.e. 0.25 × 10−3m, 0.35 × 10−3 m and 0.50 × 10−3m with the greatest frequency in the wastewater flow being a density of 2650 kg/m3. The flow has been simulated by Ansys-Fluent (2020) software. The effects of particle size on various slurry flow parameters such as pressure drop, solid phase velocity distribution, friction factor, granular pressure, turbulent viscosity, turbulent kinetic energy and its dissipation all have been analyzed. The location of maximum deposition is also determined and it occurred at x/R = 77.5. Finally, a relationship between the thickness of sedimentation and volume concentration has been proposed.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"979 - 994"},"PeriodicalIF":2.7,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47314306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-21DOI: 10.1080/1573062X.2023.2237944
E. Rokstad, C. Makropoulos, M. M. Rokstad
ABSTRACT Resilience in water distribution systems is the ability to detect, respond and recover from disruptive events and calamities, such as extreme weather, natural disasters, human errors, and malicious attacks. A system’s resilience can be influenced by its topology. This study applies a novel network generation procedure based on the C-town benchmark network to produce 296 network variants with similar structures yet unique topological features. Then, a stress-testing procedure is applied to expose these variants to a set of substance intrusion scenarios. Finally, their performance is ranked according to a set of resilience metrics, and their relationship to the network design is evaluated based on topological attributes through correlation analysis. The results suggest that specific topological attributes, often characterized as a branched network design, tend to be more resilient when exposed to quality-related failures. As such, it provides insights into the relationship between topology and resilience of water distribution systems.
{"title":"Resilience assessment of water distribution networks exposed to substance intrusion","authors":"E. Rokstad, C. Makropoulos, M. M. Rokstad","doi":"10.1080/1573062X.2023.2237944","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2237944","url":null,"abstract":"ABSTRACT Resilience in water distribution systems is the ability to detect, respond and recover from disruptive events and calamities, such as extreme weather, natural disasters, human errors, and malicious attacks. A system’s resilience can be influenced by its topology. This study applies a novel network generation procedure based on the C-town benchmark network to produce 296 network variants with similar structures yet unique topological features. Then, a stress-testing procedure is applied to expose these variants to a set of substance intrusion scenarios. Finally, their performance is ranked according to a set of resilience metrics, and their relationship to the network design is evaluated based on topological attributes through correlation analysis. The results suggest that specific topological attributes, often characterized as a branched network design, tend to be more resilient when exposed to quality-related failures. As such, it provides insights into the relationship between topology and resilience of water distribution systems.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1110 - 1122"},"PeriodicalIF":2.7,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46573495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.1080/1573062X.2023.2233494
A. D. Ortega Sandoval, J. P. Rodríguez Sánchez, L. Bharati
ABSTRACT Rapid population growth and urban sprawl have expanded built-up areas, affecting flood patterns in cities. Sustainable urban drainage systems (SUDS) have gained significant attention by attempting to replicate natural pre-development drainage conditions. This paper presents a new transdisciplinary methodology for assessing the potential feasibility of 12 different SUDS typologies by considering physical restrictions and six types of contextual barriers. The approach integrates input from academic and non-academic actors, fuzzy logic, geographic information system tools, and multi-criteria decision analysis. A neighborhood in Bogotá, Colombia, was selected as the unit of analysis, framing a relevant case study for highly urbanized areas. The findings demonstrate the differential impact of local context constraints and emphasize the importance of comprehensive approaches to SUDS planning that consider criteria other than technical. The methodology is a tool to support architects, engineers, urban planners, and urban water decision-makers in the planning of sustainable and flood-resilient cities.
{"title":"A transdisciplinary approach for assessing the potential feasibility of Sustainable Urban Drainage Systems: case study, Bogotá, Colombia","authors":"A. D. Ortega Sandoval, J. P. Rodríguez Sánchez, L. Bharati","doi":"10.1080/1573062X.2023.2233494","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2233494","url":null,"abstract":"ABSTRACT Rapid population growth and urban sprawl have expanded built-up areas, affecting flood patterns in cities. Sustainable urban drainage systems (SUDS) have gained significant attention by attempting to replicate natural pre-development drainage conditions. This paper presents a new transdisciplinary methodology for assessing the potential feasibility of 12 different SUDS typologies by considering physical restrictions and six types of contextual barriers. The approach integrates input from academic and non-academic actors, fuzzy logic, geographic information system tools, and multi-criteria decision analysis. A neighborhood in Bogotá, Colombia, was selected as the unit of analysis, framing a relevant case study for highly urbanized areas. The findings demonstrate the differential impact of local context constraints and emphasize the importance of comprehensive approaches to SUDS planning that consider criteria other than technical. The methodology is a tool to support architects, engineers, urban planners, and urban water decision-makers in the planning of sustainable and flood-resilient cities.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1081 - 1094"},"PeriodicalIF":2.7,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45656144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-13DOI: 10.1080/1573062X.2023.2229301
P. Mohan Doss, M. M. Rokstad, D. Steffelbauer, F. Tscheikner-Gratl
ABSTRACT In recent decades, research on leak detection and localization in water distribution networks has been an area of growing interest in both water management and fault detection. In the literature, numerous leak localization techniques were developed from model-based methods (such as steady-state and quasi-steady state) and data-driven/machine learning models (e.g. time series modeling, prediction, and classification). However, there is still a need for study on the definition and enumeration of various sources, types, and nature of uncertainties in leak localization modelling processes. In the context of steady-state analysis, this review paper’s main objective is to list the uncertainties related to model-based, data-driven and hybrid methods. This review outlines that, for the three classes of methods, the interplay of uncertainties with the modelling approximations jointly influences the localization performance and are often overlooked. Furthermore, realization of modelling assumptions and error propagation is needed for a successful real-world implementation.
{"title":"Uncertainties in different leak localization methods for water distribution networks: a review","authors":"P. Mohan Doss, M. M. Rokstad, D. Steffelbauer, F. Tscheikner-Gratl","doi":"10.1080/1573062X.2023.2229301","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2229301","url":null,"abstract":"ABSTRACT In recent decades, research on leak detection and localization in water distribution networks has been an area of growing interest in both water management and fault detection. In the literature, numerous leak localization techniques were developed from model-based methods (such as steady-state and quasi-steady state) and data-driven/machine learning models (e.g. time series modeling, prediction, and classification). However, there is still a need for study on the definition and enumeration of various sources, types, and nature of uncertainties in leak localization modelling processes. In the context of steady-state analysis, this review paper’s main objective is to list the uncertainties related to model-based, data-driven and hybrid methods. This review outlines that, for the three classes of methods, the interplay of uncertainties with the modelling approximations jointly influences the localization performance and are often overlooked. Furthermore, realization of modelling assumptions and error propagation is needed for a successful real-world implementation.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"953 - 967"},"PeriodicalIF":2.7,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46923527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1080/1573062X.2023.2233489
A. Gamal, Lailatul Rohmah, Cynthia Adelina Perangin Angin, Widya Laksmi Larasati, Ahmad Aki Muhaimin, Risty Khoirunisa, Dwinanti Rika Marthanty
ABSTRACT This research tries to fill the gap of empirical studies to demonstrate how water, both in terms of its role as a resource and disaster, is integrally related to the value of land. This study involves four water-related measures categories: source, disaster, supply, and infrastructure. The eight independent variables were tested upon Jakarta’s 3,725 land value zone samples. It is found that areas with more accessibility to wastewater management infrastructure have land value of IDR 476 per square meter higher than average. In contrast, land value in areas with higher risk of being affected by a flood is IDR 470.91 per square meter lower than average. This research signifies the importance of integral policy of clean water provision as well as water-related disaster prevention in urban areas.
{"title":"Quantitative study of water impact on land value in Jakarta","authors":"A. Gamal, Lailatul Rohmah, Cynthia Adelina Perangin Angin, Widya Laksmi Larasati, Ahmad Aki Muhaimin, Risty Khoirunisa, Dwinanti Rika Marthanty","doi":"10.1080/1573062X.2023.2233489","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2233489","url":null,"abstract":"ABSTRACT This research tries to fill the gap of empirical studies to demonstrate how water, both in terms of its role as a resource and disaster, is integrally related to the value of land. This study involves four water-related measures categories: source, disaster, supply, and infrastructure. The eight independent variables were tested upon Jakarta’s 3,725 land value zone samples. It is found that areas with more accessibility to wastewater management infrastructure have land value of IDR 476 per square meter higher than average. In contrast, land value in areas with higher risk of being affected by a flood is IDR 470.91 per square meter lower than average. This research signifies the importance of integral policy of clean water provision as well as water-related disaster prevention in urban areas.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1063 - 1080"},"PeriodicalIF":2.7,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43715183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-05DOI: 10.1080/1573062X.2023.2229298
S. R. Pokhrel, Gyan Chhipi-Shrestha, Haroon R. Mian, Kasun Hewage, R. Sadiq
ABSTRACT Performance assessment of Small and Medium-Sized Water Systems (SMWSs) is important for operational, tactical, and strategic decision-making. In this study, a performance assessment method has been developed and applied to five drinking water, three wastewater, and two stormwater utilities using 39, 30 and 27 Key Performance Indicators (KPIs) in a semi-arid region. The KPIs were aggregated to determine a performance index using a Technique for Order of Preference by Similarity to Ideal Solution method. K-nearest neighbors and penalty methods were used to estimate missing KPIs data. The results indicated that only two drinking water utilities and one wastewater utility had been rated as ‘high’ performance. None of the utilities in stormwater performance was rated as ‘high’. The developed method can assist decision-makers in evaluating SMWSs performance holistically, build operational management strategies, and identify necessary interventions in overcoming water systems challenges across each urban water system component.
{"title":"Performance Assessment Method for Small- and Medium-Sized Urban Water Systems: Development and Implementation","authors":"S. R. Pokhrel, Gyan Chhipi-Shrestha, Haroon R. Mian, Kasun Hewage, R. Sadiq","doi":"10.1080/1573062X.2023.2229298","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2229298","url":null,"abstract":"ABSTRACT Performance assessment of Small and Medium-Sized Water Systems (SMWSs) is important for operational, tactical, and strategic decision-making. In this study, a performance assessment method has been developed and applied to five drinking water, three wastewater, and two stormwater utilities using 39, 30 and 27 Key Performance Indicators (KPIs) in a semi-arid region. The KPIs were aggregated to determine a performance index using a Technique for Order of Preference by Similarity to Ideal Solution method. K-nearest neighbors and penalty methods were used to estimate missing KPIs data. The results indicated that only two drinking water utilities and one wastewater utility had been rated as ‘high’ performance. None of the utilities in stormwater performance was rated as ‘high’. The developed method can assist decision-makers in evaluating SMWSs performance holistically, build operational management strategies, and identify necessary interventions in overcoming water systems challenges across each urban water system component.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1021 - 1037"},"PeriodicalIF":2.7,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44508690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1080/1573062X.2023.2229292
C. Allende-Prieto, J. Roces-García, C. Recondo, L. A. Sañudo-Fontaneda, M. R. González-Moradas
ABSTRACT Sustainable Drainage Systems (SuDS) monitoring is very often intrusive and need onsite personnel to be carried out. The application of remote sensing in SuDS still is an area for further development, especially in vegetation-based techniques, representing a gap in the field. This research proposes an exploratory method combining Synthetic Aperture Radar (SAR) images data and onsite measurements to develop models of performance. Linear regression models were obtained for the computing of the soil moisture using the following variables: backscatter coefficient (σ°), temperature, normalized difference vegetation index (NDVI) and topographic wetness index (TWI), reaching medium to high values for its predictive capacity, ranging from 0.53 and 0.66 using σ° and temperature. The most influential variable was found to be the temperature. This investigation opens the path for future research in the use of remote sensing tools in vegetation-based SuDS monitoring with homogeneous plant species, highlighting the need for further research.
{"title":"An exploratory methodology based on high resolution remote sensing techniques for soil moisture determination with prospective applications in vegetative SuDS","authors":"C. Allende-Prieto, J. Roces-García, C. Recondo, L. A. Sañudo-Fontaneda, M. R. González-Moradas","doi":"10.1080/1573062X.2023.2229292","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2229292","url":null,"abstract":"ABSTRACT Sustainable Drainage Systems (SuDS) monitoring is very often intrusive and need onsite personnel to be carried out. The application of remote sensing in SuDS still is an area for further development, especially in vegetation-based techniques, representing a gap in the field. This research proposes an exploratory method combining Synthetic Aperture Radar (SAR) images data and onsite measurements to develop models of performance. Linear regression models were obtained for the computing of the soil moisture using the following variables: backscatter coefficient (σ°), temperature, normalized difference vegetation index (NDVI) and topographic wetness index (TWI), reaching medium to high values for its predictive capacity, ranging from 0.53 and 0.66 using σ° and temperature. The most influential variable was found to be the temperature. This investigation opens the path for future research in the use of remote sensing tools in vegetation-based SuDS monitoring with homogeneous plant species, highlighting the need for further research.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1006 - 1020"},"PeriodicalIF":2.7,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42980488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1080/1573062X.2023.2229291
N. van Aalderen, S. Brouwer, S. Koop, D. Hegger, Heleen L. P. Mees
ABSTRACT The importance of stakeholder engagement in asset management is widely accepted and emphasised. Nonetheless, in asset management practice, stakeholder engagement is still often applied in an unsystematised and ad hoc manner. By proposing a framework of considerations for the deliberate design of stakeholder engagement, this study aims to contribute to the realisation of integrated asset management by offering a means to explicate the often implicit considerations regarding stakeholder engagement. By providing a conceptual exploration, as well as an analysis of three asset management cases in the Netherlands, this article provides building blocks for deliberate stakeholder engagement, guided by consideration of the mission, local context, and available time. Taking the daily reality of asset managers as a reference, this study develops a synthesis between literature on stakeholder engagement and asset management, hereby showing that both material and relational considerations should be made deliberately in all phases of an asset management project.
{"title":"Deliberate stakeholder engagement: a framework of considerations for integrated asset management of water utilities","authors":"N. van Aalderen, S. Brouwer, S. Koop, D. Hegger, Heleen L. P. Mees","doi":"10.1080/1573062X.2023.2229291","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2229291","url":null,"abstract":"ABSTRACT The importance of stakeholder engagement in asset management is widely accepted and emphasised. Nonetheless, in asset management practice, stakeholder engagement is still often applied in an unsystematised and ad hoc manner. By proposing a framework of considerations for the deliberate design of stakeholder engagement, this study aims to contribute to the realisation of integrated asset management by offering a means to explicate the often implicit considerations regarding stakeholder engagement. By providing a conceptual exploration, as well as an analysis of three asset management cases in the Netherlands, this article provides building blocks for deliberate stakeholder engagement, guided by consideration of the mission, local context, and available time. Taking the daily reality of asset managers as a reference, this study develops a synthesis between literature on stakeholder engagement and asset management, hereby showing that both material and relational considerations should be made deliberately in all phases of an asset management project.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"995 - 1005"},"PeriodicalIF":2.7,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46527414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：