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29
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Introduction
I am a consultant engineer in Hydraulic Engineering and Geoinformatics and have 16+ years of experience on independent expertise in engineering to the Greek government, developers and construction firms as sole practitioner. My research interests include Hydrology, Water Resources Management and Machine Learning.
Skills and Expertise
Publications
Publications (29)
A future variation of precipitation characteristics, due to climate change, will affect the ability of rainfall to precipitate soil loss. In this paper, the monthly and annual values of rainfall erosivity (R) in Greece are calculated, for the historical period 1971-2000, using precipitation records that suffer from a significant volume of missing v...
To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which mode...
Rainfall erosivity concerns the ability of rainfall to cause erosion on the surface of the earth. The difficulty in modeling the distribution, the size, and the terminal velocity of raindrops in relation to the detachment of soil particles led to the use of more tractable rainfall indices. Thus, in the universal soil loss equation (USLE), the coeff...
Most well-known sediment transport formulas have been derived using specific field or laboratory data, and this hinders their applicability worldwide. Indeed, the success of some of the top-used sediment transport formulas, in certain applications, is comparable only with their failure in others. The adaptation of established formulas to specific d...
The present paper deals with the applicability of the Meyer–Peter and Müller (MPM) bed load transport formula. The performance of the formula is examined on data collected in a particular location of Nestos River in Thrace, Greece, in comparison to a proposed Εnhanced MPM (EMPM) formula and to two typical machine learning methods, namely Random For...
The identification and recognition of temporal rainfall patterns is important and useful not only for climatological studies, but mainly for supporting rainfall–runoff modeling and water resources management. Clustering techniques applied to rainfall data provide meaningful ways for producing concise and inclusive pattern classifications. In this p...
Rainfall time series analysis using clustering involves the identification of temporal patterns, with each data item representing an individual storm. This analysis results in clusters of data items that trend in a common way and can be utilized in stochastic simulation, water resources planning and the identification of future directions due to cl...
To gain a better understanding of the global application of soil erosion prediction models, we comprehensively
reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017.
We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions
within which mod...
Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics tha...
One of the most important natural process responsible for soil loss is rainfall induced erosion. The calculation of rainfall erosivity, as defined in the Universal Soil Loss Equation, requires the availability of continuous breakpoint, or pluviograph, with sampling intervals in the order of minutes, rainfall data. Due to the limited temporal covera...
Systematic bibliometric investigations are useful to evaluate and compare the scientific impact of journal papers, book chapters and conference proceedings. Such studies allow the detection of emerging research topics, the analyses of cooperation networks, and the collection of in-depth insights into a specific research topic. In the presented work...
This dataset contains the raster files of the differences between projected and historical mean average values of R in Greece from the paper:
Vantas, K.; Sidiropoulos, E.; Loukas, A. Estimating Current and Future Rainfall Erosivity in Greece Using Regional Climate Models and Spatial Quantile Regression Forests. Water 2020, 12, 687, DOI: https://d...
Estimated mean annual erosivity values over Greece in (Mj.mm/ha/h/y) using precipitation records that suffered from a significant volume of missing values. As an intermediate step the creation of monthly precipitation and erosivity density models was utilized.
A novel method that utilizes a combination of statistical and clustering techniques is presented in order to classify statistically independent heavy rainstorm events and create a limited number of representative intra-storm temporal distribution curves. These curves represent the centers of many dimensionless cumulative rainstorm events and expres...
R interface to the Greek National Data Bank for Hydrological and Meteorological Information http://www.hydroscope.gr/. It covers Hydroscope's data sources and provides functions to transliterate, translate and download them into tidy dataframes.
Soil erosion is affected by rainfall, among other factors, and it is likely to increase in the future due to climate change impacts, resulting in higher rainfall intensities. This paper evaluates the impact of the missing values ratio on the computation of the rainfall erosivity factor, R, and erosivity density, ED. The paper also investigates the...
The identification of temporal rainfall patterns is important both in hydrological studies and in water resources management. Computational methods employed for such identification are briefly reviewed with emphasis on design hyetographs. In the sequel, the computational processes of this paper are described and are summarized here as follows: Raw...
The identification of temporal rainfall patterns is important both in hydrological studies and in water resources management. Computational methods employed for such identification are briefly reviewed with emphasis on design hyetographs.
1. Raw Pluviograph data were acquired from the Greek National Bank of Hydrological and Meteorological Informat...
The spatial allocation of groundwater resources gives rise to problems of larger scale compared to the ones originating solely from the extraction of groundwater. The spatial extension that complements extraction produces problems of greater complexity. More general spatial optimization problems, such as land use management and resource allocation...
This paper presents certain characteristics of trends in rainfall erosivity density (ED), that have not been so far investigated in depth in the current literature. Raw pluviograph data were acquired from the Greek National Bank of Hydrological and Meteorological Information for 108 stations. Precipitation time series values were cleared from noise...
This paper presents certain characteristics of trends in rainfall erosivity density (ED), that have not been so far investigated in depth in the current literature. Raw pluviograph data were acquired from the Greek National Bank of Hydrological and Meteorological Information for 108 stations. Precipitation time series values were cleared from noise...
hydroscoper is an R interface to the Greek National Data Bank for Hydrological and Meteorological Information, Hydroscope. For more details checkout the package’s website: https://ropensci.github.io/hydroscoper/
An unsupervised method that utilizes a combination of statistical and machine learning techniques is presented in order to classify statistically independent rainstorm events and create a limited number of design hyetographs for the Water Division of Thrace in Greece. The whole process includes the necessary steps from importing raw precipitation t...
An unsupervised method that utilizes a combination of statistical and machine learning techniques is presented in order to classify statistically independent rainstorm events and create a limited number of design hyetographs for the Water Division of Thrace in Greece. The whole process includes the necessary steps from importing raw precipitation t...
hydroscoper provides functionality for automatic retrieval and translation of data from the Greek National Data Bank for Hydrological and Meteorological Information for use in R. The main functions can be utilized to easily download JSON and TXT files as tidy data frames. The internal databases of the package can be used to run queries on the avail...
In this article, a comparison is presented of empirical equations to machine learning methods for the estimation and imputation of rainfall erosivity values, associated with significant amounts of rainfall measurements that are missing in the available recording rain gauge data of the Greek Hydroscope database. The empirical equations are mainly ba...
Simulation of the water quality in water distribution networks is an internationally accepted tool for the plan and the design of new systems and the evaluation of old ones in order to keep the drinking water clean and wholesome. Directive 98/83/EC has established specifications for the basic and preventive parameters and also, for the priority dan...
Questions
Question (1)
Does anyone know how to use the NetCDF files coming from CORDEX regional climate model data on single levels for Europe?
1. I downloaded a single nc file using the ecmwfr package using the attached code successfully
2. When I used the brick function from the raster package to load the data I got the warning messages:
==============
Warning messages:
1: In .getCRSfromGridMap4(atts) : cannot process these parts of the CRS:
grid_north_pole_latitude=39.25
grid_north_pole_longitude=-162
2: In .getCRSfromGridMap4(atts) : cannot create a valid CRS
grid_north_pole_latitude=39.25
grid_north_pole_longitude=-162
==============
Consequently the brick object has no CRS. And all my attempts to set CRS manually failed. An email sent to C3S/CAMS User Support returned the answer:
==============
I would recommend you use Panoply to visualize the data. We do not provide support for the use of our data in packages such as R or GrADS I'm afraid. But Panoply usually can handle our data. The link to Panoply is available from What are NetCDF files and how can I read them.
==============
Am I missing something obvious?
Projects
Projects (4)
The identification of temporal rainfall patterns is important both in hydrological studies and in water resources management. The goal of this project the identification of heavy rainfall patterns using machine learning methods.
This forum is used by the working group created to brainstorm and publicly discuss the ongoing activities and challenges of the joined meta-analysis study.
This is to be considered as the first collaborative research activity following the "Soil erosion modelling Workshop (Global Alliance)". Hopefully, this is going to be the first initiative of a long series of scientific collaborations.
