scholarly journals Sustainable Urban Drainage Systems in Spain: A Diagnosis

2021 ◽  
Vol 13 (5) ◽  
pp. 2791
Author(s):  
Ignacio Andrés-Doménech ◽  
Jose Anta ◽  
Sara Perales-Momparler ◽  
Jorge Rodriguez-Hernandez
Keyword(s):  
National Standards ◽  
Three Dimensions ◽  
Urban Drainage ◽  
New Paradigm ◽  
National Scale ◽  
Drainage Systems ◽  
Global Context ◽  
Technical Performance ◽  
Urban Drainage Systems ◽  
The Right

Sustainable urban drainage systems (SUDS) were almost unknown in Spain two decades ago; today, urban drainage in the country is transitioning towards a more sustainable and regenerative management in a global context where green policies are gaining prominence. This research establishes a diagnosis of SUDS in Spain and examines the extent to which the country is moving towards the new paradigm in three dimensions: (a) the governance and social perception of the community, (b) the regulative background, and (c) the implementation and the technical performance of SUDS. The diagnosis identifies barriers that hinder the change. Then, we define the challenges that Spain has to face to overcome obstacles that delay the transition. Barriers to the governance sphere are related to the lack of involvement, knowledge, and organisational responsibilities. Within the regulative framework, the absence of national standards hinders the general implementation at the national scale, although few regional and local authorities are taking steps in the right direction with their own regulations. From the technical perspective, SUDS performance within the Spanish context was determined, although some shortcomings are still to be investigated. Despite the slowdown caused by the hard recession periods and the more recent political instability, SUDS implementation in Spain is today a fact, and the country is close to reaching the stabilisation stage.

scholarly journals Machine Learning and Urban Drainage Systems: State-of-the-Art Review

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3545
Author(s):  
Soon-Ho Kwon ◽  
Joong-Hoon Kim
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Urban Drainage ◽  
Complex Data ◽  
New Paradigm ◽  
Neural Network Models ◽  
Drainage Systems ◽  
Time Operation ◽  
Urban Drainage Systems ◽  
Scientific Engineering

In the last decade, machine learning (ML) technology has been transforming daily lives, industries, and various scientific/engineering disciplines. In particular, ML technology has resulted in significant progress in neural network models; these enable the automatic computation of problem-relevant features and rapid capture of highly complex data distributions. We believe that ML approaches can address several significant new and/or old challenges in urban drainage systems (UDSs). This review paper provides a state-of-the-art review of ML-based UDS modeling/application based on three categories: (1) operation (real-time operation control), (2) management (flood-inundation prediction) and (3) maintenance (pipe defect detection). The review reveals that ML is utilized extensively in UDSs to advance model performance and efficiency, extract complex data distribution patterns, and obtain scientific/engineering insights. Additionally, some potential issues and future directions are recommended for three research topics defined in this study to extend UDS modeling/applications based on ML technology. Furthermore, it is suggested that ML technology can promote developments in UDSs. The new paradigm of ML-based UDS modeling/applications summarized here is in its early stages and should be considered in future studies.

Assessment of urban flooding by dual drainage simulation model RisUrSim

2005 ◽  
Vol 52 (5) ◽  
pp. 257-264 ◽  
Author(s):  
T.G. Schmitt ◽  
M. Thomas ◽  
N. Ettrich
Keyword(s):  
Simulation Model ◽  
Surface Flow ◽  
Water Levels ◽  
Model Verification ◽  
Urban Drainage ◽  
Urban Flooding ◽  
Insurance Company ◽  
Drainage Systems ◽  
Engineering Research ◽  
Urban Drainage Systems

The European research project in the EUREKA framework, RisUrSim is presented with its overall objective to develop an integrated planning tool to allow cost effective management for urban drainage systems. The project consortium consisted of industrial mathematics and water engineering research institutes, municipal drainage works as well as an insurance company. The paper relates to the regulatory background of European Standard EN 752 and the need of a more detailed methodology to simulate urban flooding. The analysis of urban flooding caused by surcharged sewers in urban drainage systems leads to the necessity of a dual drainage modeling. A detailed dual drainage simulation model is described based upon hydraulic flow routing procedures for surface flow and pipe flow. Special consideration is given to the interaction between surface and sewer flow during surcharge conditions in order to most accurately compute water levels above ground as a basis for further assessments of possible damage costs. The model application is presented for a small case study in terms of data needs, model verification and first simulation results.

Long-term versus Real-time Optimal Operation for Gate Regulation during Flood in Urban Drainage Systems

2018 ◽  
Vol 15 (8) ◽  
pp. 750-759 ◽  
Author(s):  
Fatemeh Jafari ◽  
S. Jamshid Mousavi ◽  
Jafar Yazdi ◽  
Joong Hoon Kim
Keyword(s):  
Real Time ◽  
Optimal Operation ◽  
Urban Drainage ◽  
Drainage Systems ◽  
Urban Drainage Systems ◽  
Time Optimal

scholarly journals Using ensemble weather forecast in a risk based real time optimization of urban drainage systems

2015 ◽  
pp. 101-107 ◽  
Author(s):  
Vianney Courdent ◽  
Luca Vezzaro ◽  
Peter Steen Mikkelsen ◽  
Ane Loft Mollerup ◽  
Morten Grum
Keyword(s):  
Real Time ◽  
Weather Forecast ◽  
Urban Drainage ◽  
Drainage Systems ◽  
Time Optimization ◽  
Urban Drainage Systems ◽  
Real Time Optimization
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