Bayesian estimation of inflow hydrographs in ungauged sites of multiple reach systems

D’Oria, Marco; Mignosa, Paolo; Tanda, Maria Giovanna

doi:10.1016/j.advwatres.2013.11.007

Cited by 24 publications

(21 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…D'Oria et al () applied a Bayesian geostatistical approach (BGA) to evaluate the unknown upstream flow hydrographs in multiple reach systems starting from stages recorded at the downstream end. In this case, Bayesian geostatistical approach is (tightly) coupled with the hydraulic model in which, however, the hydraulic roughness is assumed known (D'Oria et al, ), thus driving the assessment of discharge hydrograph. Moreover, the procedure requires hydraulic modelling of the entire river network, including the main channel tributaries.…”

Section: Introductionmentioning

confidence: 99%

Assessment of river flow with significant lateral inflow through reverse routing modeling

Spada

Sinagra

Tucciarelli

et al. 2017

Hydrological Processes

View full text Add to dashboard Cite

The discharge hydrograph estimation in rivers based on reverse routing modeling and using only water level data at two gauged sections is here extended to the most general case of significant lateral flow contribution, without needing to deploy rainfall–runoff procedures. The proposed methodology solves the Saint‐Venant equations in diffusive form also involving the lateral contribution using a “head‐driven” modeling approach where lateral inflow is assumed to be function of the water level at the tributary junction. The procedure allows to assess the discharge hydrograph at ends of a selected river reach with significant lateral inflow, starting from the stage recorded there and without needing rainfall data. Specifically, the MAST 1D hydraulic model is applied to solve the diffusive wave equation using the observed stage hydrograph at the upstream section as upstream boundary condition. The other required data are (a) the observed stage hydrograph at the downstream section, as benchmark for the parameter calibration, and (b) the bathymetry of the river reach, from the upstream section to a short distance after the downstream gauged section. The method is validated with different flood events observed in two river reaches with a significant intermediate basin, where reliable rating curves were available, selected along the Tiber River, in central Italy, and the Alzette River, in Luxembourg. Very good performance indices are found for the computed discharge hydrographs at both the channel ends and along the tributaries. The mean Nash‐Sutcliffe value (NSq) at the channel ends of two rivers is found equal to 0.99 and 0.86 for the upstream and downstream sites, respectively. The procedure is also validated on a longer stretch of the Tiber River including three tributaries for which appreciable results are obtained in terms of NSq for the computed discharge hydrographs at both the channel ends for three investigated flood events.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessment of river flow with significant lateral inflow through reverse routing modeling

Spada

Sinagra

Tucciarelli

et al. 2017

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…Koussis et al (2012) reoriented the Muskingum routing scheme to step back sequentially; they found also in this case grid design to be important, although that routing scheme is more robust than reverse solvers of the St. Venant equations. D' Oria andTanda (2012) andD'Oria et al (2014) determined the upstream hydrograph via a geostatistical Bayesian optimisation approach applied to the equations of St. Venant that does not entail a back-stepping procedure. Szöllósi-Nagy (1987) treated the related case of optimal flood control for minimising downstream flood damage and Leonhardt et al (2014) reversecalculated the rainfall causing an observed flow event.…”

Section: Reverse Routing Of Flood Wavesmentioning

confidence: 99%

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

Koussis

Mazi

2016

Hydrological Sciences Journal

View full text Add to dashboard Cite

“…The inversion is also constrained by means of prior information about the structure of the unknowns making use of geostatistical autocorrelation functions. The BGA has been developed and mainly tested in spatial field estimation problems, e.g., references [10,28,29], but performs well also in the context of autocorrelated time functions [30][31][32][33][34]. In the following, only an introduction of the inverse methodology is provided; for more mathematical details see, for example, references [13,35,36].…”

Section: Inverse Approachmentioning

confidence: 99%

Characterization of Hydraulic Heterogeneity of Alluvial Aquifer Using Natural Stimuli: A Field Experience of Northern Italy

D’Oria

Zanini

2019

Water

Self Cite

View full text Add to dashboard Cite

This study investigates the hydraulic heterogeneity of the alluvial aquifer underneath the dam and the stilling basin of a flood protection structure in Northern Italy. The knowledge of the interactions between the water in the reservoir upstream of the dam and the groundwater levels is relevant for the stability of the structure. A Bayesian Geostatistical Approach (BGA) combined with a groundwater flow model developed in MODFLOW 2005 has been used to estimate the hydraulic conductivity (HK) field in a context of a highly parameterized inversion. The transient hydraulic heads collected in 14 monitoring points represent the calibration dataset; these observations are the results of the hydraulic stresses induced by the variations of the lake stage upstream of the dam (natural stimuli). The geostatistical inversion was performed by means of a computer code, bgaPEST, developed according to the free PEST software concept. The results of the inversion show a moderate degree of heterogeneity of the estimated HK field, consistent with the alluvial nature of the aquifer and the other information available. The calibrated groundwater model is useful for simulating the interactions between the reservoir and the studied aquifer under different flood scenarios and for forecasting the hydraulic head levels due to strong flood events. The use of natural stimuli is useful for obtaining information for aquifer heterogeneity characterization.

show abstract

Bayesian estimation of inflow hydrographs in ungauged sites of multiple reach systems

Cited by 24 publications

References 28 publications

Assessment of river flow with significant lateral inflow through reverse routing modeling

Assessment of river flow with significant lateral inflow through reverse routing modeling

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

Characterization of Hydraulic Heterogeneity of Alluvial Aquifer Using Natural Stimuli: A Field Experience of Northern Italy

Contact Info

Product

Resources

About