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Emmanouil A. Varouchakis

Researcher at Technical University of Crete

Publications -  61
Citations -  890

Emmanouil A. Varouchakis is an academic researcher from Technical University of Crete. The author has contributed to research in topics: Kriging & Variogram. The author has an hindex of 15, co-authored 50 publications receiving 607 citations.

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A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation

TL;DR: This algorithm was implemented and applied for predicting, spatially and temporally, the hydraulic head in an area located in Bavaria, Germany and can be characterized as favorable, since the RMSE of the method is in the order of magnitude of 10−2 m.
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Improvement of groundwater level prediction in sparsely gauged basins using physical laws and local geographic features as auxiliary variables

TL;DR: In this article, the authors present new modeling tools that help to better monitor and predict the groundwater level in sparsely gauged basins, such as the Mires basin of Mesara valley in Greece.
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An approach to characterise spatio-temporal drought dynamics

TL;DR: In this article, the authors proposed a method to build the spatial tracks and paths of drought, which can enhance its monitoring, using grid data from the Standardized Precipitation Evaporation Index (SPEI) Global Drought Monitor over India (1901-2013), as an example.
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Spatial variability of the relationships of runoff and sediment yield with weather types throughout the Mediterranean basin

Dhais Peña-Angulo, +88 more
- 01 Apr 2019 - 
TL;DR: In this article, the relationship between synoptic atmospheric patterns (i.e., weather types, WTs) and runoff, erosion and sediment yield throughout the Mediterranean basin was investigated.
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An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood

TL;DR: In this article, a technoeconomic methodology for the monetary estimation of crop losses due to flash flooding is presented, which takes into account flood depth and flow velocity, as provided by MIKE FLOOD, as well as the season of flood occurrence, and provides monetary estimates of crop damage based on synthetic logistic flow velocity-flood depth-crop damage surfaces.