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Dive into the research topics where Péter Tanos is active.

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Featured researches published by Péter Tanos.


Environmental Modelling and Software | 2014

Classification into homogeneous groups using combined cluster and discriminant analysis

József Kovács; Solt Kovács; Norbert Magyar; Péter Tanos; István Gábor Hatvani; Angéla Anda

Abstract The classification of observations into groups is a general procedure in modern research. However, when searching for homogeneous groups the difficulty of deciding whether further division of a classification is necessary or not to obtain the desired homogeneous groups arises. The presented method, Combined cluster and discriminant analysis (CCDA), aims to facilitate this decision. CCDA consists of three main steps: (I) a basic grouping procedure; (II) a core cycle where the goodness of preconceived and random classifications is determined; and (III) an evaluation step where a decision has to be made regarding division into sub-groups. These steps of the proposed method were implemented in R in a package, under the name of ccda. To present the applicability of the method, a case study on the water quality samples of Neusiedler See is presented, in which CCDA classified the 33 original sampling locations into 17 homogeneous groups, which could provide a starting point for a later recalibration of the lakes monitoring network.


Archive | 2012

Analysis of Water Quality Data for Scientists

József Kovács; Péter Tanos; János Korponai; Ilona Kovácsné Székely; Károly Gondár; Katalin Gondár-Sőregi; István Gábor Hatvani

The most often used models are deterministic, although they are prepared from one sampling event. It must be stated that the statistics and model results obtained from this sampling event can significantly change if the sampling is to be reproduced because their results are probability variables (Kovacs & Szekely, 2006). In the case of deterministic models this problem is solved by means of sensitivity analyses, thus the uncertainty in the applied model remains. This may be the reason why the following can be found in the international literature regarding this question: “The future is stochastic modeling” (Kovacs & Szanyi, 2005; Wilkinson, 2006).


Water Resources Management | 2015

Spatial Optimization of Monitoring Networkson the Examples of a River, a Lake-Wetland System and a Sub-Surface Water System

József Kovács; Solt Kovács; István Gábor Hatvani; Norbert Magyar; Péter Tanos; János Korponai; Alfred Paul Blaschke

Monitoring systems in general have to meet numerous requirements, the most important of which are representativeness and cost efficiency. The aim of the study, therefore, was to present the spatial optimization of the monitoring networks of a river (the Danube), a wetland-lake system (Kis-Balaton & Lake Balaton), and a sub-surface water system in the watershed of Lake Neusiedl/Fertő over a period of approximately two decades using a novel method, Combined cluster and discriminant analysis (CCDA). In the case of the river the results show that the monitoring network yields redundant information on certain sections, so that of 12 sampling sites 3 can be discarded. It was not, however, enough to consider just the tributaries when it comes to optimization. In the case of the wetland (Kis-Balaton) one pair of sampling sites out of 12, while in the case of Lake Balaton 5 out of 10 can be abandoned. For the sub-surface water system, however, all the 50 sites contained exclusive information; hence, all of these were shown to be necessary. In addition, neighboring sampling sites were compared pairwise using CCDA and the corresponding results were visualized in diagrams or so called “difference maps” indicating the location of the biggest differences. This approach also indicates the researcher where to place new sampling sites should the possibility arise. The discussed methodology proved to be highly useful in the optimization of the monitoring networks of the presented water systems.


Environmental Science & Policy | 2016

Developments in water quality monitoring and management in large river catchments using the Danube River as an example

Deborah V. Chapman; Chris Bradley; Gretchen M. Gettel; István Gábor Hatvani; Thomas Hein; József Kovács; Igor Liska; David M. Oliver; Péter Tanos; Balázs Trásy; Gábor Várbíró


Environmental Monitoring and Assessment | 2015

Optimization of the monitoring network on the River Tisza (Central Europe, Hungary) using combined cluster and discriminant analysis, taking seasonality into account

Péter Tanos; József Kovács; Solt Kovács; Angéla Anda; István Gábor Hatvani


Ecological Engineering | 2017

Application of artificial neural networks to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube

Anita Csábrági; Sándor Molnár; Péter Tanos; József Kovács


Central European Geology | 2011

Exploratory data analysis on the Upper-Tisza section using single and multi-variate data analysis methods

Péter Tanos; József Kovács; Ilona Kovácsné Székely; István Gábor Hatvani


Hydrogeology Journal | 2018

Investigation of the climate-driven periodicity of shallow groundwater level fluctuations in a Central-Eastern European agricultural region

Tamás Garamhegyi; József Kovács; Rita Pongrácz; Péter Tanos; István Gábor Hatvani


Ecological Indicators | 2017

The role of annual periodic behavior of water quality parameters in primary production – Chlorophyll-a estimation

József Kovács; Péter Tanos; Gábor Várbíró; Angéla Anda; Sándor Molnár; István Gábor Hatvani


Acta Carsologica | 2016

Analysis of drip water in an urban karst cave beneath the Hungarian capital (Budapest)

Katalin Fehér; József Kovács; László Márkus; Edit Borbás; Péter Tanos; István Gábor Hatvani

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József Kovács

Eötvös Loránd University

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Norbert Magyar

Eötvös Loránd University

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Balázs Trásy

Eötvös Loránd University

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Tamás Garamhegyi

Eötvös Loránd University

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Gábor Várbíró

Hungarian Academy of Sciences

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