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Parsimonious hydrological modeling of urban sewer and river catchments

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TLDR
In this paper, a parsimonious model of flow capable of simulating flow in natural/engineered catchments and at WWTP (Wastewater Treatment Plant) inlets was developed.
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This article is published in Journal of Hydrology.The article was published on 2012-09-25 and is currently open access. It has received 36 citations till now. The article focuses on the topics: Impervious surface & Combined sewer.

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Improving uncertainty estimation in urban hydrological modeling by statistically describing bias

TL;DR: A structured approach to select, among five variants, the optimal bias de- scription for a given urban or natural case study and results clearly show that flow simulations are much more reliable when bias is accounted for than when it is neglected.
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Considering rating curve uncertainty in water level predictions

TL;DR: The results of the case study indicate that the uncertainty in calibration data derived by the rating curve method may be of the same relevance as rainfall-runoff model parameters themselves.
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A stochastic model of streamflow for urbanized basins

TL;DR: In this article, the authors present two stochastic models, with different levels of complexity, that link the key physical features of urbanized basins with rainfall variability to determine the resulting flow duration curves.
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Substance flow analysis as a tool for mitigating the impact of pharmaceuticals on the aquatic system

TL;DR: In this particular case, ciprofloxacin was found to be the most problematic compound, with a risk quotient far above 1, and a treatment at the WWTP is not sufficient to reduce the risk, and additional measures at the CSO or at the hospital should be considered.
References
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Principles of snow hydrology

TL;DR: In this article, the authors proposed a model for modeling snowmelt runoff processes and applied it to ground-based and remote sensing measurements of the snowpack in order to understand the topographic and forest effects of snowpack energy exchange.
Journal ArticleDOI

Transport in the hydrologic response: Travel time distributions, soil moisture dynamics, and the old water paradox

TL;DR: In this article, the authors propose a mathematical framework for the general definition and computation of travel time distributions defined by the closure of a catchment control volume, where the input flux is an arbitrary rainfall pattern and the output fluxes are green and blue water flows (namely, evapotranspiration and hydrologic response embedding runoff production through soil water dynamics).
Journal ArticleDOI

A conceptual glacio-hydrological model for high mountainous catchments

TL;DR: In this paper, the authors describe the structure and calibration of a semi-lumped conceptual glacio-hydrological model for the joint simulation of daily discharge and annual glacier mass balance that represents a better integrator of the water balance.
Journal ArticleDOI

Hillslope runoff processes and models

TL;DR: A number of significant field studies have revealed the great range in both climatic and hillslope conditions as discussed by the authors, and there is a need to respond to the variety of climatic responses, and to spatial variability on and beneath the surface, including the role of seepage macropores and pipes.
Journal ArticleDOI

Rainfall-runoff modeling — Past, present and future

Ezio Todini
- 30 Jul 1988 - 
TL;DR: A brief review of the historical development of mathematical methods used in rainfall-runoff modeling is presented in this paper, where a simple classification of the current available models based upon both a priori knowledge and problem requirements is proposed in order to assess the state of the art.
Related Papers (5)
Frequently Asked Questions (11)
Q1. What are the main physical processes driving the discharge at the two basin end-points in this?

The dominant physical processes driving water discharge at the two basin end-points in this study are Hortonian runoff, evapotranspiration, and gravity-driven percolation to groundwater. 

Two important modeling assumptions are: (i) the pipe network is replaced by an underground impervious area and thus overland flow and pipe discharge can be together modeled as a fast discharge linear reservoir, and (ii) the water diverted out of the sewer system through the different CSOs can be combined together through the hydraulic discharge function of a representative CSO. 

Most popular urban hydrological models used in research and engineering (e.g., MOUSE (Hernebring et al., 2002), SWMM3) are spatially distributed with link-node drainage networks. 

In this study, a hierarchical physically based storage and transmission model was designed as an alternative means for simulating continuous flow dynamics in complex engineered urban basins. 

In addition, the hydrological model integrates functions that aim to reproduce characteristic daily variations of dry weather flow to the WWTP. 

Detailed modeling of drainage systems is often deemed necessary because of the complexity of flow paths in urban catchments (Cantone and Schmid, 2011; Gironás et al., 2009). 

The type of precipitation is determined based on a temperature threshold (DeWalle and Rango, 2008; Schaefli et al., 2005): when T is above the threshold Tcr , precipitation occurs as rain, otherwise precipitation is frozen. 

This CSO, the closest CSO to the WWTP, is responsible for more than a third of all CSO discharge, and is typically the first to become operational in storms (e-dric.ch, 2008). 

During dry weather, discharges arriving at the WWTP inlet are determined mainly by two phenomena: (i) infiltration of groundwater into the pipe network (see Section 2.2 and Dupont et al. (2006); Göbel et al. (2004)) and, (ii) water use and consequent wastewater production. 

It is a typical urban catchment, where much water comes from toilets, washing, industry and other uses, rather than directly from natural sources. 

Saturation excess was not implemented in their modeling scheme as the authors considered an unlimited reservoir height – i.e., the reservoir is never full – and this could lead to underestimation of surface runoff (Buda et al., 2009; MartínezMena et al., 1998; Nachabe et al., 1997).