Application of Machine Learning to Characterize the Permeate Quality in Pilot-Scale Vacuum-Assisted Air Gap Membrane Distillation Operation

Autor: Isabel Requena, Juan Antonio Andrés-Mañas, Juan Diego Gil, Guillermo Zaragoza

Publikováno v: Membranes, Vol 13, Iss 11, p 857 (2023)

Membrane distillation (MD) is a thermal desalination technique proposed for the valorization of residual brines that other operations such as reverse osmosis cannot treat. Previous studies have shown that vacuum-assisted air gap (V-AGMD) operation in

Externí odkaz: https://doaj.org/article/1591d1648f3c466593fd10925b52e244

A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites

Autor: Fateh Chebana, Ana Isabel Requena, Taha B. M. J. Ouarda

Publikováno v: Advances in Water Resources. 113:328-340

Flow duration curves (FDC) are used to obtain daily streamflow series at ungauged sites. In this study, functional multiple regression (FMR) is proposed for FDC estimation. Its natural framework for dealing with curves allows obtaining the FDC as a w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2459bc1d89ff322866eca8e71a97117b
https://doi.org/10.1016/j.advwatres.2018.01.019

A bivariate trend analysis to investigate the effect of increasing urbanisation on flood characteristics

Autor: Luis Mediero, Ana Isabel Requena, Ilaria Prosdocimi, Thomas Kjeldsen

Publikováno v: Requena, A I, Prosdocimi, I, Kjeldsen, T R & Mediero, L 2017, ' A bivariate trend analysis to investigate the effect of increasing urbanisation on flood characteristics ', Hydrology Research, vol. 48, no. 3, pp. 802-821 . https://doi.org/10.2166/nh.2016.105

Flood frequency analyses are usually based on the assumption of stationarity, which might be unrealistic if changes in climate, land uses or urbanisation impact the study catchment. Moreover, most non-stationarity studies only focus on peak flows, ig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14470535833383692e40c58aa09cf631
https://doi.org/10.2166/nh.2016.105

Extension of Observed Flood Series by Combining a Distributed Hydro-Meteorological Model and a Copula-Based Model

Autor: Luis Garrote, Ana Isabel Requena, Isabel Flores, Luis Mediero

Publikováno v: Stochastic Environmental Research And Risk Assessment, ISSN 1436-3259, 2016-05, Vol. 30, No. 5
Archivo Digital UPM
Universidad Politécnica de Madrid

Long flood series are required to accurately estimate flood quantiles associated with high return periods, in order to design and assess the risk in hydraulic structures such as dams. However, observed flood series are commonly short. Flood series ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bf5242739aa5efd79999fc798d090d1
http://oa.upm.es/51369/

A bivariate return period based on copulas for hydrologic dam design: accounting for reservoir routing in risk estimation

Autor: Ana Isabel Requena, Luis Mediero, Luis Garrote

Publikováno v: Hydrology and Earth System Sciences, ISSN 1027-5606, 2013-08, Vol. 17, No. 8
Archivo Digital UPM
Universidad Politécnica de Madrid
Hydrology and Earth System Sciences, Vol 17, Iss 8, Pp 3023-3038 (2013)

A multivariate analysis on flood variables is needed to design some hydraulic structures like dams, as the complexity of the routing process in a reservoir requires a representation of the full hydrograph. In this work, a bivariate copula model was u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25e54dc6eae514be6bcc643a01d35bb0
https://oa.upm.es/29130/