Next Article in Journal
Future of Water Supply and Demand in the Middle Drâa Valley, Morocco, under Climate and Land Use Change
Next Article in Special Issue
Effects of Rainfall Intensity and Duration on the First Flush from Parking Lots
Previous Article in Journal
Characterization of a Flood Event through a Sediment Analysis: The Tescio River Case Study
Previous Article in Special Issue
Spatial and Temporal Variation in Local Stormwater Infrastructure Use and Stormwater Management Paradigms over the 20th Century
Article Menu

Export Article

Open AccessArticle
Water 2016, 8(8), 312; doi:10.3390/w8080312

Evaluation of the Performance and the Predictive Capacity of Build-Up and Wash-Off Models on Different Temporal Scales

1
LEESU, MA 102, Ecole des Ponts, AgroParisTech, UPEC, UPE 77455 Champs-sur-Marne, France
2
Faculty of Engineering III, Lebanese University, Beirut, Lebanon
*
Author to whom correspondence should be addressed.
Academic Editor: Brigitte Helmreich
Received: 25 May 2016 / Revised: 7 July 2016 / Accepted: 12 July 2016 / Published: 23 July 2016
(This article belongs to the Special Issue Urban Drainage and Urban Stormwater Management)
View Full-Text   |   Download PDF [3463 KB, uploaded 23 July 2016]   |  

Abstract

Stormwater quality modeling has arisen as a promising tool to develop mitigation strategies. The aim of this paper is to assess the build-up and wash-off processes and investigate the capacity of several water quality models to accurately simulate and predict the temporal variability of suspended solids concentrations in runoff, based on a long-term data set. A Markov Chain Monte-Carlo (MCMC) technique is applied to calibrate the models and analyze the parameter’s uncertainty. The short-term predictive capacity of the models is assessed based on inter- and intra-event approaches. Results suggest that the performance of the wash-off model is related to the dynamic of pollutant transport where the best fit is recorded for first flush events. Assessment of SWMM (Storm Water Management Model) exponential build-up model reveals that better performance is obtained on short periods and that build-up models relying only on the antecedent dry weather period as an explanatory variable, cannot predict satisfactorily the accumulated mass on the surface. The predictive inter-event capacity of SWMM exponential model proves its inability to predict the pollutograph while the intra-event approach based on data assimilation proves its efficiency for first flush events only. This method is very interesting for management practices because of its simplicity and easy implementation. View Full-Text
Keywords: urban stormwater; concentrations; suspended solids; modeling; build-up; wash-off; data assimilation; MCMC; water quality urban stormwater; concentrations; suspended solids; modeling; build-up; wash-off; data assimilation; MCMC; water quality
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Al Ali, S.; Bonhomme, C.; Chebbo, G. Evaluation of the Performance and the Predictive Capacity of Build-Up and Wash-Off Models on Different Temporal Scales. Water 2016, 8, 312.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top