Reverse flood and pollution routing with the lag-and-route model

Koussis, Antonis D.; Mazi, Katerina

doi:10.1080/02626667.2015.1061194

Cited by 3 publications

(3 citation statements)

References 37 publications

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“…Nevertheless, to circumvent the oscillations in the simulated inflows, Koussis et al. (2012) and Koussis and Mazi (2016) used low pass filter in the Muskingum and lag‐and‐route based reverse routing frameworks, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…However, it failed to perform for short-period flood waves like flash floods. Nevertheless, to circumvent the oscillations in the simulated inflows, Koussis et al (2012) and Koussis and Mazi (2016) used low pass filter in the Muskingum and lag-and-route based reverse routing frameworks, respectively. Contrary to the first type, the second type approaches involve the optimization of several parameters; hence, they are sometimes computationally intensive.…”

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confidence: 99%

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A Physically‐Based Reverse‐Stage Routing Model Considering Lateral Flow for Establishing Normal Rating Curves at Ungauged Upstream River Sections

Pati

Sahoo

Perumal

2023

Water Resources Research

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The development of water resource projects of a river often requires information on stage and discharge to design hydraulic control structures at desired locations across the river. However, the rivers of many countries are often ungauged or poorly gauged due to inadequate streamflow monitoring networks. Even with the available limited monitoring stations, only a few of them monitor both stage and discharge data. To arrive at this information at the desired locations along a river, one may estimate this information by transferring the related information from nearby monitored gauging stations.Generally, a river reach is termed ungauged if the discharge measurements are unavailable, even if the associated stage information is available (Hrachowitz et al., 2013). As a limited number of stations are gauged along the rivers, conventionally, the downstream stage and discharge hydrographs are estimated by the forward routing models with the known upstream stage or discharge hydrographs. There are many river basins worldwide

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

A Physically‐Based Reverse‐Stage Routing Model Considering Lateral Flow for Establishing Normal Rating Curves at Ungauged Upstream River Sections

Pati

Sahoo

Perumal

2023

Water Resources Research

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“…Eli et al, 1974;Szymkiewicz, 1993;Dooge and Bruen, 2005;Bruen and Dooge, 2007) and the back-oriented application of hydrological routing schemes (e.g. Das, 2009;Koussis et al, 2012;Koussis and Mazi, 2016). Beyond the approximations introduced by the hydrological routing schemes, the aforementioned procedures were applied to simplified reach geometries and flow conditions.…”

Section: Introductionmentioning

confidence: 99%

Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model

Ferrari

D’Oria

Vacondio

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. This paper presents a novel methodology for estimating the unknown discharge hydrograph at the entrance of a river reach when no information is available. The methodology couples an optimization procedure based on the Bayesian geostatistical approach (BGA) with a forward self-developed 2-D hydraulic model. In order to accurately describe the flow propagation in real rivers characterized by large floodable areas, the forward model solves the 2-D shallow water equations (SWEs) by means of a finite volume explicit shock-capturing algorithm. The two-dimensional SWE code exploits the computational power of graphics processing units (GPUs), achieving a ratio of physical to computational time of up to 1000. With the aim of enhancing the computational efficiency of the inverse estimation, the Bayesian technique is parallelized, developing a procedure based on the Secure Shell (SSH) protocol that allows one to take advantage of remote high-performance computing clusters (including those available on the Cloud) equipped with GPUs. The capability of the methodology is assessed by estimating irregular and synthetic inflow hydrographs in real river reaches, also taking into account the presence of downstream corrupted observations. Finally, the procedure is applied to reconstruct a real flood wave in a river reach located in northern Italy.

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Algebraic estimation of the specific storage from slug tests in confined aquifers in the overdamped case

2021

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Reverse flood and pollution routing with the lag-and-route model

Cited by 3 publications

References 37 publications

A Physically‐Based Reverse‐Stage Routing Model Considering Lateral Flow for Establishing Normal Rating Curves at Ungauged Upstream River Sections

A Physically‐Based Reverse‐Stage Routing Model Considering Lateral Flow for Establishing Normal Rating Curves at Ungauged Upstream River Sections

Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model

Algebraic estimation of the specific storage from slug tests in confined aquifers in the overdamped case

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