S.Kozanis@itia.ntua.gr
+30-2107722859
http://itia.ntua.gr/stefanos/
OpenMI Life
Duration: January 2006–December 2010
The project's rationale lies in the Water Framework Directive,which demands an integrated approach to water management. This requires an ability to predict how catchment processes will interact. In most contexts, it is not feasible to build a single predictive model that adequately represents all the processes; therefore, a means of linking models of individual processes is required.The FP5 HarmonIT project's innovative and acclaimed solution, the Open Modelling Interface and Environment (OpenMI) met this need by simplifying the linking of hydrology related models.Its establishment will support and assist the strategic planning and integrated catchment management.
P. Kossieris, S. Kozanis, A. Hashmi, E. Katsiri, L. Vamvakeridou-Lyroudia, R. Farmani, C. Makropoulos, and D. Savic, A web-based platform for water efficient households, Procedia Engineering, 89, 1128–1135, 2014.
The advent of ICT services on water sector offers new perspective towards sustainable water management. This paper presents an innovative web-based platform, targeting primarily the household end-users. The platform enables consumers to monitor and control, on real-time basis, the water and energy consumption of their household providing valuable information and feedback. At the same time, the platform further supports end-users to modify and improve their consumption profile via an interactive educational process that comprises a variety of online tools and applications. This paper discusses the rationale, structure and technologies upon which the platform has been developed and presents an early prototype of the various tools, applications and facilities.
Full text: http://www.itia.ntua.gr/en/getfile/1590/1/documents/kossieris_procedia2014.pdf (1131 KB)
A. Efstratiadis, Y. Dialynas, S. Kozanis, and D. Koutsoyiannis, A multivariate stochastic model for the generation of synthetic time series at multiple time scales reproducing long-term persistence, Environmental Modelling and Software, 62, 139–152, doi:10.1016/j.envsoft.2014.08.017, 2014.
A time series generator is presented, employing a robust three-level multivariate scheme for stochastic simulation of correlated processes. It preserves the essential statistical characteristics of historical data at three time scales (annual, monthly, daily), using a disaggregation approach. It also reproduces key properties of hydrometeorological and geophysical processes, namely the long-term persistence (Hurst-Kolmogorov behaviour), the periodicity and intermittency. Its efficiency is illustrated through two case studies in Greece. The first aims to generate monthly runoff and rainfall data at three reservoirs of the hydrosystem of Athens. The second involves the generation of daily rainfall for flood simulation at five rain gauges. In the first emphasis is given to long-term persistence – a dominant characteristic in the management of large-scale hydrosystems, comprising reservoirs with carry-over storage capacity. In the second we highlight to the consistent representation of intermittency and asymmetry of daily rainfall, and the distribution of annual daily maxima.
Additional material:
See also: http://dx.doi.org/10.1016/j.envsoft.2014.08.017
Works that cite this document: View on Google Scholar or ResearchGate
Other works that reference this work (this list might be obsolete):
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H. Tyralis, D. Koutsoyiannis, and S. Kozanis, An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters, Computational Statistics, 28 (4), 1501–1527, doi:10.1007/s00180-012-0364-7, 2013.
We derive a new algorithm for calculating an exact confidence interval for a parameter of location or scale family, based on a two-sided hypothesis test on the parameter of interest, using some pivotal quantities. We use this algorithm to calculate approximate confidence intervals for the parameter or a function of the parameter of one-parameter continuous distributions. After appropriate heuristic modifications of the algorithm we use it to obtain approximate confidence intervals for a parameter or a function of parameters for multi-parameter continuous distributions. The advantage of the algorithm is that it is general and gives a fast approximation of an exact confidence interval. Some asymptotic (analytical) results are shown which validate the use of the method under certain regularity conditions. In addition, numerical results of the method compare well with those obtained by other known methods of the literature on the exponential, the normal, the gamma and the Weibull distribution.
Additional material:
See also: http://dx.doi.org/10.1007/s00180-012-0364-7
Works that cite this document: View on Google Scholar or ResearchGate
Other works that reference this work (this list might be obsolete):
| 1. | Campos, J. N.B., F. A. Souza Filho and H. V.C. Lima, Risks and uncertainties in reservoir yield in highly variable intermittent rivers: Case of the Castanhão Reservoir in semi-arid Brazil, Hydrological Sciences Journal, 59 (6), 1184-1195, 2014. |
C. Makropoulos, P. Kossieris, S. Kozanis, E. Katsiri, and L. Vamvakeridou-Lyroudia, From smart meters to smart decisions: web-based support for the water efficient household, 11th International Conference on Hydroinformatics, New York, 2014.
Smart water metering technologies for residential buildings offer, in principle, great opportunities for sustainable urban water management. However, much of this potential is as yet unrealized. Despite several ICT solutions having already been deployed aiming at optimum operations on the water utilities side (e.g. real time control for water networks, dynamic pump scheduling etc.), little work has been done to date on the consumer side. This paper presents two closely related web platforms targeting primarily the household end user. The first one, termed the household analytics platform, enables consumers to monitor and control, on a real-time basis, the water demand of their household providing feedback not only on the total water consumption and relevant costs but also on the efficiency (or otherwise) of specific indoor and outdoor uses. At the same time, the second platform, the eLearning platform aims to support and motivate users to understand and change their water consumption through a simple and gradually engaging educational process. This paper discusses the rationale, structure and technologies upon which these platforms have been based and presents an early prototype of the various tools, applications and facilities. It is suggested that the combined strength of such developments is in closing the gap between technology availability and usefulness to end users and could help both the uptake of smart metering and awareness raising, leading, potentially, to significant reductions of urban water consumption.
S. Kozanis, A. Christofides, N. Mamassis, and D. Koutsoyiannis, openmeteo.org: a web service for the dissemination of free meteorological data, Advances in Meteorology, Climatology and Atmospheric Physics, edited by C.G. Helmis and P. Nastos, Athens, 203–208, doi:10.1007/978-3-642-29172-2_29, Springer, Athens, 2012.
Individuals or organisations managing meteorological or hydrological stations typically need to either collect the data on personal computers or bear the costs required to setup a server. As an alternative, the openmeteo.org database provides users and organisations the option to upload their time series, on condition that their data will be available to the public under a free license (the Open Database License and the Creative Commons Attribution-ShareAlike License, depending on the type of data). Each user has write access to his own data, whereas the public has read access to all the data. Enhydris, the software that powers openmeteo.org, is also free, available under the GNU General Public License v.3, and provides several useful features like time series graphs and plots, display of online data, maps etc. The purpose of openmeteo.org is not only to enable people to manage their data more easily, but also to bring people into a community and encourage a spirit of openness and sharing.
Additional material:
S. Kozanis, A. Christofides, A. Efstratiadis, A. Koukouvinos, G. Karavokiros, N. Mamassis, D. Koutsoyiannis, and D. Nikolopoulos, Using open source software for the supervision and management of the water resources system of Athens, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 7158, doi:10.13140/RG.2.2.28468.04482, European Geosciences Union, 2012.
The water supply of Athens, Greece, is implemented through a complex water resource system, extending over an area of around 4 000 km2 and including surface water and groundwater resources. It incorporates four reservoirs, 350 km of main aqueducts, 15 pumping stations, more than 100 boreholes and 5 small hydropower plants. The system is run by the Athens Water Supply and Sewerage Company (EYDAP). Over more than 10 years we have developed, information technology tools such as GIS, database and decision support systems, to assist the management of the system. Among the software components, “Enhydris”, a web application for the visualization and management of geographical and hydrometeorological data, and “Hydrognomon”, a data analysis and processing tool, are now free software. Enhydris is entirely based on free software technologies such as Python, Django, PostgreSQL, and JQuery. We also created http://openmeteo.org/, a web site hosting our free software products as well as a free database system devoted to the dissemination of free data. In particular, “Enhydris” is used for the management of the hydrometeorological stations and the major hydraulic structures (aqueducts, reservoirs, boreholes, etc.), as well as for the retrieval of time series, online graphs etc. For the specific needs of EYDAP, additional GIS functionality was introduced for the display and monitoring of the water supply network. This functionality is also implemented as free software and can be reused in similar projects. Except for “Hydrognomon” and “Enhydris”, we have developed a number of advanced modeling applications, which are also generic-purpose tools that have been used for a long time to provide decision support for the water resource system of Athens. These are “Hydronomeas”, which optimizes the operation of complex water resource systems, based on a stochastic simulation framework, “Castalia”, which implements the generation of synthetic time series, and “Hydrogeios”, which employs conjunctive hydrological and hydrogeological simulation, with emphasis to human-modified river basins. These tools are currently available as executable files that are free for download though the ITIA web site (http://itia.ntua.gr/). Currently, we are working towards releasing their source code as well, through making them free software, after some licensing issues are resolved.
Full text:
Additional material:
A. Christofides, S. Kozanis, G. Karavokiros, and A. Koukouvinos, Enhydris, Filotis & openmeteo.org: Free software for environmental management, FLOSS Conference 2011, Athens, http://conferences.ellak.gr/2011/, 2011.
A presentation of two free software application for environmental management, developed in National Technical University of Athens. Enhydris is an Information system - server software for the management, storage and retrieval of hydrometeorological data, accessible through the internet. Enhydris is used by the National Data Bank of Hydrometeorolical Information (Hydroscope) and it also used by other agencies in Greece and European Union. In addition it is provided as a service of free content under the web address: openmeteo.org where individuals can download or upload their data. The Information System for the Greek Nature "Filotis", contains biotopes and species of flora and fauna of Greece.
The development of the application is based on Python Computer Language and Django. Finally applications are providing geospatial data in a Web-GIS form by using free software GIS tools.
Speach video is here: http://www.vimeo.com/25340067
Related works:
Full text: http://www.itia.ntua.gr/en/getfile/1145/1/documents/2011_FLOSS_Enhydris_presentation.pdf (3847 KB)
Additional material:
See also: http://conferences.ellak.gr/2011/
Y. Dialynas, S. Kozanis, and D. Koutsoyiannis, A computer system for the stochastic disaggregation of monthly into daily hydrological time series as part of a three–level multivariate scheme, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-290, doi:10.13140/RG.2.2.23814.98885, European Geosciences Union, 2011.
Castalia is a software package (Koutsoyiannis, D., and A. Efstratiadis, A stochastic hydrology framework for the management of multiple reservoir systems, Geophysical Research Abstracts, Vol. 3, European Geophysical Society, 2001) that uses an original two-level multivariate scheme (from annual to monthly time scale) appropriate for preserving the most important statistics of the historical time series and reproducing characteristic peculiarities of hydrological processes such as long-term persistence, periodicity and skewness. A module was developed as an expansion of Castalia, which implements a methodology for the multivariate stochastic simulation and disaggregation of monthly hydrological time series into daily series. This upgraded version of Castalia uses a three-level multivariate scheme that simultaneously preserves the above characteristics for the annual, monthly and daily time scale. Moreover, this module efficiently handles additional difficulties due to peculiarities which frequently appear in daily hydrological series, such as high variation coefficients, high values of skewness and intermittency (preservation of probability dry in rainfall). The computer system was applied for the generation of synthetic hydrological time series within simulation models that are components of a decision support system for hydrosystem management.
Full text:
D. Koutsoyiannis, S. Kozanis, and H. Tyralis, A general Monte Carlo method for the construction of confidence intervals for a function of probability distribution parameters, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-1489, doi:10.13140/RG.2.2.33147.31527, European Geosciences Union, 2011.
We derive an algorithm which calculates an exact confidence interval for a distributional parameter of location or scale family, based on a two-sided hypothesis test on the parameter of interest, using some pivotal quantities. We use this algorithm to calculate approximate confidence intervals for the parameter or a function of the parameter of one-parameter distributions. We show that these approximate intervals are asymptotically exact. We modify the algorithm and use it to obtain approximate confidence intervals for a parameter or a function of parameters for multi-parameter distributions. We compare the results of the method with those obtained by known methods of the literature for the normal, the gamma and the Weibull distribution and find them satisfactory. We conclude that the proposed method can yield approximate confidence intervals, based on Monte Carlo simulations, in a generic way, irrespectively of the distribution function, as well as of the type of the parameters or the function of parameters.
Full text:
A. Christofides, S. Kozanis, G. Karavokiros, Y. Markonis, and A. Efstratiadis, Enhydris: A free database system for the storage and management of hydrological and meteorological data, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, 8760, European Geosciences Union, 2011.
Enhydris is a database system for the storage and management of hydrological and meteorological data. It allows the storage and retrieval of raw data, processed time series, model parameters, curves and meta-information such as measurement stations overseers, instruments, events etc. The database is accessible through a web interface, which includes several data representation features such as tables, graphs and mapping capabilities. Data access is configurable to allow or to restrict user groups and/or privileged users to contribute or to download data. With these capabilities, Enhydris can be used either as a public repository of free data or as a fully secured – restricted system for data storage. Time series can be downloaded in plain text format that can be directly loaded to Hydrognomon (http://hydrognomon.org/), a free tool for analysis and processing of meteorological time series. Enhydris can optionally work in a distributed way. Many organisations can install one instance each, but an additional instance, common to all organisations, can be setup as a common portal. This additional instance can be configured to replicate data from the other databases, but without the space consuming time series, which it retrieves from the other databases on demand. A user can transparently use this portal to access the data of all participating organisations collectively. Enhydris is free software, available under the terms of the GNU General Public License version 3. It is developed with Python, Django, and C. Its modular design allows adding new features through the development of small applications. Enhydris is hosted by the Openmeteo project (http://openmeteo.org/), which aims to provide free tools and data.
Full text:
Other works that reference this work (this list might be obsolete):
| 1. | #Papathanasiou C., C. Makropoulos, E. Baltas, and M. Mimikou, The Hydrological Observatory of Athens: A state-of-the-art network for the assessment of the hydrometeorological regime of Attica, Proceedings of the 13th International Conference on Environmental Science and Technology, Athens, 2013. |
| 2. | #Makropoulos, C., P. Kossieris, S. Kozanis, E. Katsiri, and L. Vamvakeridou-Lyroudia, From smart meters to smart decisions: Web-based support for the water efficient household, Proceedings of 11th International Conference on Hydroinformatics (HIC 2014), New York City, 2014. |
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S. Kozanis, A. Christofides, N. Mamassis, A. Efstratiadis, and D. Koutsoyiannis, Hydrognomon – open source software for the analysis of hydrological data, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, 12419, doi:10.13140/RG.2.2.21350.83527, European Geosciences Union, 2010.
Hydrognomon is a software tool for the processing of hydrological data. It is an open source application running on standard Microsoft Windows platforms, and it is part of the openmeteo.org framework. Data are imported through standard text files, spreadsheets or by typing. Standard hydrological data processing techniques include time step aggregation and regularization, interpolation, regression analysis and infilling of missing values, consistency tests, data filtering, graphical and tabular visualisation of time series, etc. It supports several time steps, from the finest minute scales up to decades; specific cases of irregular time steps and offsets are also supported. The program also includes common hydrological applications, such as evapotranspiration modelling, stage-discharge analysis, homogeneity tests, areal integration of point data series, processing of hydrometric data, as well as lumped hydrological modelling with automatic calibration facilities. Here the emphasis is given on the statistical module of Hydrognomon, which provides tools for data exploration, fitting of distribution functions, statistical prediction, Monte-Carlo simulation, determination of confidence limits, analysis of extremes, and construction of ombrian (intensity-duration-frequency) curves. Hydrognomon is available for download from http://hydrognomon.org/.
Full text:
See also: http://dx.doi.org/10.13140/RG.2.2.21350.83527
Other works that reference this work (this list might be obsolete):
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| 2. | #Mineo, C., S. Sebastianelli, L. Marinucci, and F. Russo, Assessment of the watershed DEM mesh size influence on a large dam design hydrograph, AIP Conference Proceedings, 1738, 430003, 2016. |
| 3. | Tsitroulis, I., K. Voudouris, A. Vasileiou, C. Mattas, M. Sapountzis, and F. Maris, Flood hazard assessment and delimitation of the likely flood hazard zones of the upper part in Gallikos river basin, Bulletin of the Geological Society of Greece, 50(2), 995-1005, doi:10.12681/bgsg.11804, 2016. |
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| 6. | Vargas, M. M., S. Beskow, T. L. Caldeira, L. de Lima Corrêa, and Z. Almeida da Cunha, SYHDA – System of Hydrological Data Acquisition and Analysis, Brazilian Journal of Water Resources, 24, e11, doi:10.1590/2318-0331.241920180152, 2019. |
| 7. | Houessou-Dossou, E. A. Y., J. M. Gathenya, M. Njuguna, and Z. A. Gariy, Flood frequency analysis using participatory GIS and rainfall data for two stations in Narok Town, Kenya, Hydrology, 6(4), 90, doi:10.3390/hydrology6040090, 2019. |
| 8. | López Díez, A., P. Máyer Suárez, J. Díaz Pacheco, and P. Dorta Antequera, Rainfall and flooding in coastal tourist areas of the Canary Islands (Spain), Atmosphere, 10(12), 809, doi:10.3390/atmos10120809, 2019. |
| 9. | Pamirbek, M., X. Chen, S. Aher, A. Salamat, P. Deshmukh, and C. Temirbek, Analysis of discharge variability in the Naryn river basin, Kyrgyzstan, Hydrospatial Analysis, 3(2), 90-106, doi:10.21523/gcj3.19030204, 2019. |
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| 12. | Bekri, E. S., P. Economou, P. C. Yannopoulos, and A. C. Demetracopoulos, Reassessing existing reservoir supply capacity and management resilience under climate change and sediment deposition, Water, 13(13), 1819, doi:10.3390/w13131819, 2021. |
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A. Efstratiadis, G. Karavokiros, S. Kozanis, A. Christofides, A. Koukouvinos, E. Rozos, N. Mamassis, I. Nalbantis, K. Noutsopoulos, E. Romas, L. Kaliakatsos, A. Andreadakis, and D. Koutsoyiannis, The ODYSSEUS project: Developing an advanced software system for the analysis and management of water resource systems, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 03910, doi:10.13140/RG.2.2.24942.20805, European Geosciences Union, 2006.
The ODYSSEUS project (from the Greek acronym of its full title "Integrated Management of Hydrosystems in Conjunction with an Advanced Information System") aims at providing support to decision-makers towards integrated water resource management. The end-product comprises a system of co-operating software applications, suitable to handle a wide spectrum of water resources problems. The key methodological concepts are the holistic modelling approach, through the conjunctive representation of processes regarding water quantity and quality, man-made interventions, the parsimony of both input data requirements and system parameterization, the assessment of uncertainties and risks, and the extended use of optimization both for modelling (within various scales) and derivation of management policies. The core of the system is a relational database, named HYDRIA, for storing hydrosystem information; this includes geographical data, raw and processed time series, characteristics of measuring stations and facilities, and a variety of economic, environmental and water quality issues. The software architecture comprises various modules. HYDROGNOMON supports data retrieval, processing and visualization, and performs a variety of time series analysis tasks. HYDROGEIOS integrates a conjunctive hydrological model within a systems-oriented water management scheme, which estimates the available water resources at characteristic sites of the river basin and at the underlying aquifer. HYDRONOMEAS is the hydrosystem control module and locates optimal operation policies that minimize the risk and cost of decision-making. Additional modules are employed to prepare input data. DIPSOS estimates water needs for various uses (water supply, irrigation, industry, etc.), whereas RYPOS estimates pollutant loads from point and non-point sources, at a river basin scale. A last category comprises post-processing modules, for evaluating the proposed management policies by means of economical efficiency and water quality requirements. The latter include sophisticated models that estimate the space and time variation of specific pollutants within rivers (HERIDANOS) and lakes (LERNE), as well as simplified versions of them to be used within the hydrosystem simulation scheme. An interactive framework enables the exchange of data between the various modules, either off-line (through the database) or on-line, via appropriate design of common information structures. The whole system is in the final phase of its development and parts of it have been already tested in operational applications, by water authorities, organizations and consulting companies.
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Additional material:
S. Kozanis, A. Christofides, N. Mamassis, A. Efstratiadis, and D. Koutsoyiannis, Hydrognomon - A hydrological data management and processing software tool, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 04644, doi:10.13140/RG.2.2.34222.10561, European Geosciences Union, 2005.
Hydrognomon is a software tool for the management and analysis of hydrological data. It is built on a standard Windows platform based on client-server architecture; a database server is holding hydrological data whereas several workstations are executing Hydrognomon, sharing common data. Data retrieval, processing and visualisation are supported by a multilingual Graphical User Interface. Data management is based on geographical organisation to entities such as measuring stations, river basins, and reservoirs. Each entity may possess time series, physical properties, calculation parameters, multimedia content, etc. The main part of hydrological data analysis consists of time series processing applications, such as time step aggregation and regularisation, interpolation, regression analysis and filling in of missing values, consistency tests, data filtering, graphical and tabular visualisation of time series, etc. The program supports also specific hydrological applications, including evapotranspiration modelling, stage-discharge analysis, homogeneity tests, water balance methods, etc. The statistical module provides tools for sampling analysis, distribution functions, statistical forecast, Monte-Carlo simulation, analysis of extreme events and construction of intensity-duration-frequency curves. A final module is a lumped hydrological model, with alternative configurations, also supported by automatic calibration facilities. Hydrognomon is operationally used by the largest water organisation as well as technical corporations in Greece.
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See also: http://dx.doi.org/10.13140/RG.2.2.34222.10561
Other works that reference this work (this list might be obsolete):
| 1. | #Zarris, D., Analysis of the environmental flow requirement incorporating the effective discharge concept, Proceedings of the 6th International Symposium on Environmental Hydraulics, Athens, 1125–1130, International Association of Hydraulic Research, National Technical University of Athens, 2010. |
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| 3. | Radevski, I., S. Gorin, O. Dimitrovska, I. Milevski, B. Apostolovska-Toshevska, M. Taleska, and V. Zlatanoski, Estimation of maximum annual discharges by frequency analysis with four probability distributions in case of non-homogeneous time series (Kazani karst spring in Republic of Macedonia), Acta Carsologica, 45(3), 253-262, doi:10.3986/ac.v45i3.1544, 2016. |
| 4. | #Mineo, C., S. Sebastianelli, L. Marinucci, and F. Russo, Assessment of the watershed DEM mesh size influence on a large dam design hydrograph, AIP Conference Proceedings, 1863, 470005, doi:10.1063/1.4992636, 2017. |
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| 6. | #Ummah, R., A. A. Kuntoro, and H. Alamsyah, Effect of water level elevation in Madiun river on flooding in Jeroan river, Proceedings of the 3rd ITB Graduate School Conference “Enhancing Creativity in Research Through Developing Innovative Capabilities”, 2(2), 315-328, 2022. |
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S. Kozanis, GeoSpatial systems in Python - How to spatially enable an application written in Django with GeoDjango, PyGr meetup - Greek Python Users Meetup, Athens, http://lanyrd.com/2011/pygr-june/, 2011.
A brief introduction to django.contrib.gis AKA GeoDjango. GeoDjango allows the Django Models to include georeference. Presentations includes a demonstration of the transformation of a conventional Django application to a geographical (GIS) application with map, distance lookups etc. Demonstration application is available for dowload from current page.
Related works:
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Additional material:
See also: http://lanyrd.com/2011/pygr-june/
N. Mamassis, E. Tiligadas, D. Koutsoyiannis, M. Salahoris, G. Karavokiros, S. Mihas, K. Noutsopoulos, A. Christofides, S. Kozanis, A. Efstratiadis, E. Rozos, and L. Bensasson, HYDROSCOPE: National Databank for Hydrological, Meteorological and Geographical Information, Towards a rational handling of current water resource problems: Utilizing Data and Informatics for Information, Hilton Hotel, Athens, 2010.
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E. Safiolea, A. Efstratiadis, S. Kozanis, I. Liagouris, and C. Papathanasiou, Integrated modelling of a River-Reservoir system using OpenMI, OpenMI-LIFE Pinios Workshop, Volos, 2009.
Full text: http://www.itia.ntua.gr/en/getfile/920/1/documents/Moore_Pinios_Workshop_part1.pdf (2349 KB)
See also: http://www.openmi-life.org/events/pinios-workshop.php?lang=0
E. Safiolea, I. Liagouris, A. Efstratiadis, and S. Kozanis, Impact of climate change scenarios on the reliability of a reservoir, 2nd OpenMI-Life and Association Workshops On Integrated Modelling for Integrated Water Management, CEH, Wallingford, UK, 2007.
Full text: http://www.itia.ntua.gr/en/getfile/842/1/documents/2007OpenMIWallingford.pdf (1638 KB)
See also: http://www.openmi-life.org/events/secondWorkshop.php?lang=0
A. Efstratiadis, S. Kozanis, I. Liagouris, and E. Safiolea, Migration of a reservoir management model (RMM-NTUA), 1st OpenMI Life Workshop, Aquafin, Aartselaar, Belgium, 2007.
Full text: http://www.itia.ntua.gr/en/getfile/834/1/documents/2007OpenMI_RMM.pdf (1401 KB)
See also: http://www.openmi-life.org/events/workshop.php?lang=0
S. Kozanis, and A. Efstratiadis, Zygos: A basin processes simulation model, 21st European Conference for ESRI Users, Athens, Greece, 2006.
ZYGOS models the main hydrological processes of a watershed, using a lumped approach. It implements a conceptual soil moisture accounting scheme, based on a generalisation of the standard Thornthwaite model, extended with a groundwater tank. A visual representation of modeling components helps the implementation of different configurations. A global optimization procedure, implementing the evolutionary annealing-simplex algorithm, is included for the automatic estimation of model parameters.
Related works:
Full text: http://www.itia.ntua.gr/en/getfile/754/1/documents/2006ESRIZygosFullPoster.pdf (625 KB)
Other works that reference this work (this list might be obsolete):
| 1. | Bekri, E., M. Disse, P. Yannopoulos, Optimizing water allocation under uncertain system conditions in Alfeios River Basin (Greece), Part B: Fuzzy-boundary intervals combined with multi-stage stochastic programming model, Water, 7(10), 6427-6466, doi:10.3390/w7116427, 2015. |
| 2. | Charizopoulos, N., A. Psilovikos, and E. Zagana, A lumped conceptual approach for modeling hydrological processes: the case of Scopia catchment area, Central Greece, Environmental Earth Sciences, 76:18, doi:10.1007/s12665-017-6967-0, 2017. |
| 3. | Rozos, E., A methodology for simple and fast streamflow modelling, Hydrological Sciences Journal, 65(7), 1084-1095, doi:10.1080/02626667.2020.1728475, 2020. |
| 4. | Bekri, E. S., P. Economou, P. C. Yannopoulos, and A. C. Demetracopoulos, Reassessing existing reservoir supply capacity and management resilience under climate change and sediment deposition, Water, 13(13), 1819, doi:10.3390/w13131819, 2021. |
S. Kozanis, HYDROGNOMON: Computer system for management and processing of hydrological data, 15th meeting of the Greek users of Geographical Information Systems (G.I.S.) ArcInfo - ArcView - ArcIMS, Athens, Marathon Data Systems, 2005.
Full text: http://www.itia.ntua.gr/en/getfile/687/1/documents/2005GIShydrognomon.pdf (1892 KB)
E. Rozos, S. Kozanis, and C. Makropoulos, Integrated Modelling System, BGD internal project report, 31 January 2014.
Guidelines on the implementation of OpenMI standard at the BGD models.
Full text: http://www.itia.ntua.gr/en/getfile/1435/1/documents/BGD_IMS.pdf (649 KB)
S. Kozanis, and A. Christofides, A webservice API to access free data from hydroscope and openmeteo.org projects, Athens Green Hackathon, Athens, http://athens.greenhackathon.com/, 2012.
Full text: http://www.itia.ntua.gr/en/getfile/1313/1/documents/2012-12-13_AthensGreenHackathon.pdf (60 KB)
See also: http://athens.greenhackathon.com/
N. Mamassis, A. Efstratiadis, G. Karavokiros, S. Kozanis, and A. Koukouvinos, Final report, Maintenance, upgrading and extension of the Decision Support System for the management of the Athens water resource system, Contractors: , Report 2, 84 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, November 2011.
Related project: Maintenance, upgrading and extension of the Decision Support System for the management of the Athens water resource system
S. Kozanis, A. Christofides, and A. Efstratiadis, Scientific documentation of the Hydrognomon software (version 4 ), Development of Database and software applications in a web platform for the "National Databank for Hydrological and Meteorological Information" , Contractor: Department of Water Resources and Environmental Engineering – National Technical University of Athens, 173 pages, Athens, June 2010.
Hydrognomon software version 4 scientific documentation
"Hydrognomon" is an application for the analysis of hydrological data. Hydrological data analysis consists of time series processing applications, such as time step aggregation and regularisation, interpolation, regression analysis and filling in of missing values, consistency tests, data filtering, graphical and tabular visualisation of time series, etc.
The program supports also specific hydrological applications, including evapotranspiration modelling, stage-discharge and discharge-sediment discharge analysis, homogeneity tests, water balance methods, hydrometry, etc. The statistical module provides tools for sampling analysis, distribution functions, statistical forecast, Monte-Carlo simulation, analysis of extreme events and construction of intensity-duration-frequency curves.
A final module is a lumped hydrological model, with alternative configurations, also supported by automatic calibration facilities.
Document source in Microsoft Word Format: http://www.itia.ntua.gr/~soulman/hydrognomon/2009HydrognomonTheory.doc
Remarks:
Document version 1.02 - 2010-06-23 (Greek)
Related works:
Related project: Development of Database and software applications in a web platform for the "National Databank for Hydrological and Meteorological Information"
Full text: http://www.itia.ntua.gr/en/getfile/928/1/documents/HydrognomonV4TheoryGR-v1.02.pdf (3356 KB)
See also: http://hydrognomon.org/
Other works that reference this work (this list might be obsolete):
| 1. | Tsanis, I. K., M. G. Grillakis, and A. G. Koutroulis, Climate change impact on the hydrology of Spencer Creekwatershed in Southern Ontario, Canada, Journal of Hydrology, 409(1-2), 1-19, doi:10.1016/j.jhydrol.2011.06.018, 2011. |
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| 3. | Bekri, E., M. Disse, P. Yannopoulos, Optimizing water allocation under uncertain system conditions in Alfeios River Basin (Greece), Part A: Two-stage stochastic programming model with deterministic boundary intervals, Water, 7(10), 5305-5344, doi:10.3390/w7105305, 2015. |
| 4. | Bekri, E., M. Disse, P. Yannopoulos, Optimizing water allocation under uncertain system conditions in Alfeios River Basin (Greece), Part B: Fuzzy-boundary intervals combined with multi-stage stochastic programming model, Water, 7(10), 6427-6466, doi:10.3390/w7116427, 2015. |
| 5. | Ahmed, S., and I. Tsanis, Climate change impact on design storm and performance of urban storm-water management system – A case study on West Central Mountain drainage area in Canada, Hydrology Current Research, 7(1), 229, doi:10.4172/2157-7587.1000229, 2016. |
| 6. | Charizopoulos, N., and A. Psilovikos, Hydrologic processes simulation using the conceptual model Zygos: the example of Xynias drained Lake catchment (central Greece), Environmental Earth Sciences, 75:777, doi:10.1007/s12665-016-5565-x, 2016. |
| 7. | Charizopoulos, N., A. Psilovikos, and E. Zagana, A lumped conceptual approach for modeling hydrological processes: the case of Scopia catchment area, Central Greece, Environmental Earth Sciences, 76:18, doi:10.1007/s12665-017-6967-0, 2017. |
| 8. | Mentzafou, A., S. Wagner, and E. Dimitriou, Historical trends and the long-term changes of the hydrological cycle components in a Mediterranean river basin, Science of The Total Environment, 636, 558-568, doi:10.1016/j.scitotenv.2018.04.298, 2018. |
| 9. | #Πετροπούλου, Μ., Ε. Ζαγγάνα, Ν. Χαριζόπουλος, Μ. Μιχαλοπούλου, Α. Μυλωνάς, και Κ. Περδικάρης, Εκτίμηση του υδρολογικού ισοζυγίου της λεκάνης απορροής του Πηνειού ποταμού Ηλείας με χρήση του μοντέλου «Ζυγός», 14ο Πανελλήνιο Συνέδριο της Ελληνικής Υδροτεχνικής Ένωσης (ΕΥΕ), Βόλος, 2019. |
| 10. | Bemmoussat, A., K. Korichi, D. Baahmed, N. Maref, O. Djoukbala, Z. Kalantari, and S. M. Bateni, Contribution of satellite-based precipitation in hydrological rainfall-runoff modeling: Case study of the Hammam Boughrara region in Algeria, Earth Systems and Environment, doi:10.1007/s41748-021-00256-z, 2021. |
| 11. | Renima, M., A. Zeroual, Y. Hamitouche, A. Assani, S. Zeroual, A. A. Soltani, C. Mulowayi Mubulayi, S. Taibi, S. Bouabdelli, S. Kabli, A. Ghammit, I. Bara, A. Kastali, and R. Alkama, Improving future estimation of Cheliff-Mactaa-Tafna streamflow via an ensemble of bias correction approaches, Climate, 10(8), 123, doi:10.3390/cli10080123, 2022. |
D. Koutsoyiannis, A. Andreadakis, R. Mavrodimou, A. Christofides, N. Mamassis, A. Efstratiadis, A. Koukouvinos, G. Karavokiros, S. Kozanis, D. Mamais, and K. Noutsopoulos, National Programme for the Management and Protection of Water Resources, Support on the compilation of the national programme for water resources management and preservation, 748 pages, doi:10.13140/RG.2.2.25384.62727, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, February 2008.
Related project: Support on the compilation of the national programme for water resources management and preservation
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Works that cite this document: View on Google Scholar or ResearchGate
Other works that reference this work (this list might be obsolete):
| 1. | Baltas, E. A., Climatic conditions and availability of water resources in Greece, International Journal of Water Resources Development, 24(4), 635-649, 2008 |
| 2. | Gikas, P., and G.Tchobanoglous, Sustainable use of water in the Aegean Islands, Journal of Environmental Management, 90(8), 2601-2611, 2009. |
| 3. | Gikas, P., and A.N.Angelakis, Water resources management in Crete and in the Aegean Islands, with emphasis on the utilization of non-conventional water sources, Desalination, 248 (1-3), 1049-1064, 2009. |
| 4. | Agrafioti, E., and E. Diamadopoulos, A strategic plan for reuse of treated municipal wastewater for crop irrigation on the Island of Crete, Agricultural Water Management, 105,57-64, 2012. |
| 5. | #Zafirakis, D., C. Papapostolou, E. Kondili, and J. K. Kaldellis, Water use in the electricity generation sector: A regional approach evaluation for Greek thermal power plants, Protection and Restoration of the Environment XI, 1459-1468, 2012. |
| 6. | Pisinaras, V., C. Petalas, V. A. Tsihrintzis and G. P. Karatzas, Integrated modeling as a decision-aiding tool for groundwater management in a Mediterranean agricultural watershed, Hydrological Processes, 27 (14), 1973-1987, 2013. |
| 7. | Efstathiou, G.A., C. J. Lolis, N. M. Zoumakis, P. Kassomenos and D. Melas, Characteristics of the atmospheric circulation associated with cold-season heavy rainfall and flooding over a complex terrain region in Greece, Theoretical and Applied Climatology, 115 (1-2), 259-279, 2014. |
| 8. | #Antoniou, G. P., Residential rainwater cisterns in Ithaki, Greece, IWA Regional Symposium on Water, Wastewater & Environment: Traditions & Culture (ed. by I. K. Kalavrouziotis and A. N. Angelakis), Patras, Greece, 675-685, International Water Association & Hellenic Open University, 2014. |
| 9. | Kougioumoutzis, K., S.M. Simaiakis, and A. Tiniakou, Network biogeographical analysis of the central Aegean archipelago, Journal of Biogeography, 41 (10) 848-1858, 2014. |
| 10. | Zafirakis, D., C. Papapostolou, E. Kondili, and J. K. Kaldellis, Evaluation of water‐use needs in the electricity generation sector of Greece, International Journal of Environment and Resource, 3(3), 39-45, doi:10.14355/ijer.2014.0303.01, 2014. |
| 11. | Manakos, I., K. Chatzopoulos-Vouzoglanis, Z. I. Petrou, L. Filchev, and A. Apostolakis, Globalland30 Mapping capacity of land surface water in Thessaly, Greece, Land, 4 (1), 1-18, doi:10.3390/land4010001, 2015. |
| 12. | Kallioras, A., and P. Marinos, Water resources assessment and management of karst aquifer systems in Greece, Environmental Earth Sciences, 74(1), 83-100, doi:10.1007/s12665-015-4582-5, 2015. |
| 13. | #Grimpylakos , G., K. Albanakis, and T. S. Karacostas, Watershed size, an alternative or a misguided parameter for river’s waterpower? Implementation in Macedonia, Greece, Perspectives on Atmospheric Sciences, Springer Atmospheric Sciences, 295-301, doi:10.1007/978-3-319-35095-0_41, 2017. |
| 14. | Tsangaratos, P. A. Kallioras , Th. Pizpikis, E. Vasileiou, I. Ilia, and F. Pliakas, Multi-criteria Decision Support System (DSS) for optimal locations of Soil Aquifer Treatment (SAT) facilities, Science of The Total Environment, 603–604, 472–486, doi:10.1016/j.scitotenv.2017.05.238, 2017. |
| 15. | Soulis, K. X., and D. E. Tsesmelis, Calculation of the irrigation water needs spatial and temporal distribution in Greece, European Water, 59, 247-254, 2017. |
| 16. | Piria, M., P. Simonović, E. Kalogianni, L. Vardakas, N. Koutsikos, D. Zanella, M. Ristovska, A. Apostolou, A. Adrović, D. Mrdak, A. S. Tarkan, D. Milošević, L. N. Zanella, R. Bakiu, F. G. Ekmekçi, M. Povž, K. Korro, V. Nikolić, R. Škrijelj, V. Kostov, A. Gregori, and M. K. Joy, Alien freshwater fish species in the Balkans — Vectors and pathways of introduction, Fish and Fisheries, 19(1), 138–169, doi:10.1111/faf.12242, 2018. |
| 17. | Falalakis, G. and A. Gemitzi, A simple method for water balance estimation based on the empirical method and remotely sensed evapotranspiration estimates, Journal of Hydroinformatics, 22(2), 440-451, doi:10.2166/hydro.2020.182, 2020. |
| 18. | Laspidou, C. S., N. Mellios, A. Spyropoulou, D. Kofinas, and M. P. Papadopoulou, Systems thinking on the resource nexus: Modeling and visualisation tools to identify critical interlinkages for resilient and sustainable societies and institutions, Science of The Total Environment, 717, 137264, doi:10.1016/j.scitotenv.2020.137264, 2020. |
| 19. | Tzanakakis, V. A., A. N. Angelakis, N. V. Paranychianakis, Y. G. Dialynas, and G. Tchobanoglous, Challenges and opportunities for sustainable management of water resources in the island of Crete, Greece, Water, 12(6), 1538, doi:10.3390/w12061538, 2020. |
| 20. | Skrimizea, E., and C. Parra, An adaptation pathways approach to water management and governance of tourist islands: the example of the Southern Aegean Region in Greece, Water International, 45(7-8), 746-764, doi:10.1080/02508060.2020.1791683, 2020. |
| 21. | Alamanos, A., P. Koundouri, L. Papadaki, and T. Pliakou, A system innovation approach for science-stakeholder interface: theory and application to water-land-food-energy nexus, Frontiers in Water, 3, 744773, doi:10.3389/frwa.2021.744773, 2022. |
| 22. | Zafeirakou, A., A. Karavi, A. Katsoulea, A. Zorpas, and I. Papamichael, Water resources management in the framework of the circular economy for touristic areas in the Mediterranean: case study of Sifnos Island in Greece, Euro-Mediterranean Journal for Environmental Integration, doi:10.1007/s41207-022-00319-1, 2022. |
| 23. | Alamanos, A., P. Koundouri, L. Papadaki, T. Pliakou, and E. Toli, Water for tomorrow: A living lab on the creation of the science-policy-stakeholder interface, Water, 14(18), 2879, doi:10.3390/w14182879, 2022. |
I. Vazimas, S. Kozanis, B. Graff, and G. Karavokiros, [No English title available], Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Report 18, 91 pages, NAMA, Athens, December 2006.
The final report is part of Work Package 9 with title "Software development - Implementation of operational product" and includes three parts: (a) the conclusions from the installation of the prototype for the organisations of Karditsa and Kalymnos; (b) beta testing results, including the trial of software so its correctness, plenitude, subjects of safety and quality are checked and (c) the results of the inspection and evaluation of the final product by SOGREAH.
Related project: Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS)
Full text: http://www.itia.ntua.gr/en/getfile/771/1/documents/report_18.pdf (5102 KB)
A. Efstratiadis, D. Koutsoyiannis, and S. Kozanis, Theoretical documentation of stochastic simulation of hydrological variables model "Castalia", Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, Report 3, 61 pages, doi:10.13140/RG.2.2.30224.40966, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 2005.
This report describes a system for the stochastic simulation and forecast of hydrologic variables. More specifically, an original two-level multivariate scheme was introduced, appropriate for preserving the most important statistics of the historical time series and reproducing characteristic peculiarities of hydrologic processes such as persistence, periodicity and skewness. The mathematical model was implemented in a computer package, named Castalia, and it was applied for the generation of synthetic hydrologic time series within the simulation models the are components of the decision support systems for the management of hydro-systems.
Related project: Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS)
Full text: http://www.itia.ntua.gr/en/getfile/742/1/documents/report_3.pdf (1377 KB)
See also: http://dx.doi.org/10.13140/RG.2.2.30224.40966
Other works that reference this work (this list might be obsolete):
| 1. | Bekri, E., M. Disse, P. Yannopoulos, Optimizing water allocation under uncertain system conditions in Alfeios River Basin (Greece), Part A: Two-stage stochastic programming model with deterministic boundary intervals, Water, 7(10), 5305-5344, doi:10.3390/w7105305, 2015. |
| 2. | Bekri, E., M. Disse, P. Yannopoulos, Optimizing water allocation under uncertain system conditions in Alfeios River Basin (Greece), Part B: Fuzzy-boundary intervals combined with multi-stage stochastic programming Model, Water, 7(10), 6427-6466, doi:10.3390/w7116427, 2015. |
D. Koutsoyiannis, and S. Kozanis, A simple Monte Carlo methodology to calculate generalized approximate confidence intervals, Research report, Contractor: [Not funded], doi:10.13140/RG.2.2.33579.85286, Hydrologic Research Center, 2005.
Determination of confidence limits of distributional parameters (either marginal or dependence) and derivative quantities (e.g. distribution quantiles) is crucial for estimation of uncertainty and risk. Analytical determination is possible in few cases only. Monte Carlo simulation is a numerical method with the potential to determine confidence limits without restrictions. However, even Monte Carlo simulation is not as direct, general and easily applicable as it may seem. Existing direct solutions are exact only in limited cases whereas if applied in other cases may result in significant errors. Extending and generalizing existing solutions, a simple Monte Carlo simulation technique is studied that can determine good approximations of confidence limits in a general setting. The proposed method is partly heuristic and simultaneously so general that needs no assumptions about the statistical behavior of the statistics under study, i.e. it can perform for any distribution with any number of parameters, and for any distributional or derivative parameter. Only the theoretical probabilistic model is needed and all other calculations are done by a number of Monte Carlo simulations without additional assumptions. Some tests of the method in cases with analytically determined confidence limits indicate impressively good performance. Even though the method has been tested for independent sequences of random variables (random samples) its general formulation allows direct application in stochastic processes with any dependence structure, provided that a stochastic generator of the process of interest exists.
Remarks:
See the newer peer-reviewed version of this study:
An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters
Related project: Research report
Full text: http://www.itia.ntua.gr/en/getfile/692/1/documents/TN_25.pdf (295 KB)
S. Kozanis, A. Christofides, and A. Efstratiadis, Description of the data management and processing system "Hydrognomon", Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, Report 2, 141 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 2005.
"Hydrognomon" is a software tool for the management and analysis of hydrological data. It is built on a standard Windows platform based on client-server architecture; a database server is holding hydrological data whereas several workstations are executing Hydrognomon, sharing common data. Data retrieval, processing and visualisation are supported by a multilingual Graphical User Interface. Data management is based on geographical organisation to entities such as measuring stations, river basins, and reservoirs. Each entity may possess time series, physical properties, calculation parameters, multimedia content, etc. The main part of hydrological data analysis consists of time series processing applications, such as time step aggregation and regularisation, interpolation, regression analysis and filling in of missing values, consistency tests, data filtering, graphical and tabular visualisation of time series, etc. The program supports also specific hydrological applications, including evapotranspiration modelling, stage-discharge analysis, homogeneity tests, water balance methods, etc. The statistical module provides tools for sampling analysis, distribution functions, statistical forecast, Monte-Carlo simulation, analysis of extreme events and construction of intensity-duration-frequency curves. A final module is a lumped hydrological model, with alternative configurations, also supported by automatic calibration facilities. This report is the scientific documentation of the "Hydrognomon" system.
Related project: Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS)
Full text: http://www.itia.ntua.gr/en/getfile/676/1/documents/report_2.pdf (5332 KB)
Other works that reference this work (this list might be obsolete):
| 1. | #Psarianou, P., I. Nalbantis, and I. Kydonaki, Data inadequacy in water quality modelling: the case of Lake Pamvotis, Proceedings of the 12th International Conference on Environmental Science and Technology (CEST2011), A1513-A1520, Rhodes, 2011. |
| 2. | Papagiannis, N., I. Koumantakis, and E. Vasileiou, Karstic aquifer of Orfana-Iperia of West Thessaly. The research and analysis of the hydrodynamic and hydrochemical status before the application of artificial ground water recharge, Bulletin of the Geological Society of Greece, 50, 917-926, doi:10.12681/bgsg.14398, 2016. |
| 3. | #Πετροπούλου, Μ., Ε. Ζαγγάνα, Ν. Χαριζόπουλος, Μ. Μιχαλοπούλου, Α. Μυλωνάς, και Κ. Περδικάρης, Εκτίμηση του υδρολογικού ισοζυγίου της λεκάνης απορροής του Πηνειού ποταμού Ηλείας με χρήση του μοντέλου «Ζυγός», 14ο Πανελλήνιο Συνέδριο της Ελληνικής Υδροτεχνικής Ένωσης (ΕΥΕ), Βόλος, 2019. |
A. Christofides, and S. Kozanis, Hydrognomon (version 1.0) - Software for data management, Modernisation of the supervision and management of the water resource system of Athens, Report 22, 90 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2004.
This report documents the "Hydrognomon" software and constitutes its user manual. First, the features of the software are briefly presented. Then, the user is introduced to essential operations and options and to the functionality that is common to all components. Next, the Timeseries processing module is presented, including details of the interpolation functions (calculation of discharge and of reservoir volume and surface) and of evaporation calculation. Next, the functionality concerning the management of geographical entities is presented. Finally, the application for the calculation of reservoir balance is explained. Appendices describe helper software, certain data processing operations, and file format.
Related project: Modernisation of the supervision and management of the water resource system of Athens
Full text: http://www.itia.ntua.gr/en/getfile/618/1/documents/report22.pdf (2153 KB)
G. Karavokiros, and S. Kozanis, Software tool for generating reports, Modernisation of the supervision and management of the water resource system of Athens, Report 20, 60 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2004.
This software tool creates printable reports of the following two categories of information: (a) reports related to projects of the Water Resources Decision Support System Hydronomeas including a summary of the project, the input data and the main results of the calculations; (b) bulletins with reservoir storage variation and information concerning water consumption related to the water treatment plants of the Athens' water supply resources system (EYDAP). The Central Data Base Hydria supplies all data needed for the reports.
Related project: Modernisation of the supervision and management of the water resource system of Athens
Full text: http://www.itia.ntua.gr/en/getfile/616/1/documents/report20.pdf (1057 KB)
S. Kozanis, and A. Koukouvinos, Presentation of "Filotis", an Information System for the natural environment of Greece, Athens, April 2011.
A brief presentation of "Filotis", an Information System for the natural environment of Greece. Several biotopes and sites are in the main database as well species of flora and fauna of Greece.
Full text: http://www.itia.ntua.gr/en/getfile/1141/1/documents/filotis_leaf.pdf (2125 KB)
Other works that reference this work (this list might be obsolete):
| 1. | Jiang, P., M. R. Gautam, J. Zhu, and Z. Yu, How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States?, Journal of Hydrology, 2012. |
S. Kozanis, and Y. Markonis, Hydrognomon version 4 - User manual, 141 pages, Athens, 25 November 2009.
User manual for the fourth version of Hydrognomon software. Visit the webpage of the software for more information and / or download the scientific documentation.
Related works:
Full text: http://www.itia.ntua.gr/en/getfile/934/1/documents/HydrognomonV4ManualGR-v1.00.pdf (9473 KB)
See also: http://www.hydrognomon.org/