The use of urban drainage systems in sustainable cities

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.

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

Urban Water Journal ◽

10.1080/1573062x.2018.1556307 ◽

2018 ◽

Vol 15 (8) ◽

pp. 750-759 ◽

Cited By ~ 4

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

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Decentralized Control for Urban Drainage Systems via population dynamics: Bogotá case study

2015 European Control Conference (ECC) ◽

10.1109/ecc.2015.7330902 ◽

2015 ◽

Cited By ~ 13

Author(s):

J. Barreiro-Gomez ◽

G. Obando ◽

G. Riano-Briceno ◽

N. Quijano ◽

C. Ocampo-Martinez

Keyword(s):

Population Dynamics ◽

Decentralized Control ◽

Urban Drainage ◽

Drainage Systems ◽

Urban Drainage Systems

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

La Houille Blanche ◽

10.1051/lhb/20150025 ◽

2015 ◽

pp. 101-107 ◽

Cited By ~ 4

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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Water Reuse and Sustainable Urban Drainage Systems

Urban Water Reuse Handbook ◽

10.1201/b19646-9 ◽

2016 ◽

pp. 73-78

Keyword(s):

Water Reuse ◽

Urban Drainage ◽

Drainage Systems ◽

Urban Drainage Systems

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Accounting for sensor calibration, concentration heterogeneity, measurement and sampling uncertainties in monitoring urban drainage systems

Water Science & Technology ◽

10.2166/wst.2003.0094 ◽

2003 ◽

Vol 47 (2) ◽

pp. 95-102 ◽

Cited By ~ 28

Author(s):

J.-L. Bertrand-Krajewski ◽

J.-P. Bardin ◽

M. Mourad ◽

Y. Béranger

Keyword(s):

Performance Indicator ◽

Sensor Calibration ◽

Urban Drainage ◽

Experimental Conditions ◽

Flow Rates ◽

Rainfall Events ◽

Drainage Systems ◽

Methods And Techniques ◽

Urban Drainage Systems ◽

Online Measurements

Assessing the functioning and the performance of urban drainage systems on both rainfall event and yearly time scales is usually based on online measurements of flow rates and on samples of influent and effluent for some rainfall events per year. In order to draw pertinent scientific and operational conclusions from the measurement results, it is absolutely necessary to use appropriate methods and techniques in order to i) calibrate sensors and analytical methods, ii) validate raw data, iii) evaluate measurement uncertainties, iv) evaluate the number of rainfall events to sample per year in order to determine performance indicator with a given uncertainty. Based on previous work, the paper gives a synthetic review of required methods and techniques, and illustrates their application to storage and settling tanks. Experiments show that, despite controlled and careful experimental conditions, relative uncertainties are about 20% for flow rates in sewer pipes, 6-10% for volumes, 25-35% for TSS concentrations and loads, and 18-276% for TSS removal rates. In order to evaluate the annual pollutant interception efficiency of storage and settling tanks with a given uncertainty, efforts should first be devoted to decrease the sampling uncertainty by increasing the number of sampled events.

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