Pau Martí
Polytechnic University of Valencia
48 Papers
163 Citations
Pau Martí is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Evapotranspiration & Environmental science. The author has an hindex of 20, co-authored 44 publications.
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Papers
Global performance ranking of temperature-based approaches for evapotranspiration estimation considering Köppen climate classes
TL;DR: In this article, the applicability of different TET approaches was evaluated in relation to the Koppen climate classification of the stations, considering a monthly timescale and FAO56 Penman Monteith benchmarks (PM56).
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Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran
Jalal Shiri,Amir Hossein Nazemi,Ali Ashraf Sadraddini,Gorka Landeras,Ozgur Kisi,Ahmad Fakheri Fard,Pau Martí +6 more
TL;DR: In this paper, a comprehensive comparison of empirical and semi empirical ET0 equations with the corresponding Heuristic Data Driven (HDD) models in a wide range of weather stations in Iran is presented.
164
Modeling reference evapotranspiration with calculated targets. Assessment and implications
TL;DR: In this paper, an application of a gene expression programming (GEP) based approach for estimating ETo is presented considering calculated and lysimetric targets fed with two different input combinations and assessed through k-fold testing.
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Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran
Jalal Shiri,Ali Ashraf Sadraddini,Amir Hossein Nazemi,Ozgur Kisi,Gorka Landeras,Ahmad Fakheri Fard,Pau Martí +6 more
TL;DR: The present work evaluates the performance of Gene Expression Programming (GEP) based models for estimating reference evapotranspiration (ET 0) according to temporal and spatial criteria and data set scanning procedures in coastal environments of Iran.
105
Artificial neural networks vs. Gene Expression Programming for estimating outlet dissolved oxygen in micro-irrigation sand filters fed with effluents
Pau Martí,Jalal Shiri,M. Duran-Ros,Gerard Arbat,Francesc Ramírez de Cartagena,Jaume Puig-Bargués +5 more
TL;DR: In this article, Artificial Neural Networks (ANN), Gene Expression Programming (GEP) and Multi Linear Regression (MLR) based models were trained for estimating DOo using data from 769 experimental filtration cycles.
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