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Dr. Konstantinos Ioannou
Forest Research Institute, Hellenic Agricultural Organization “DEMETER”, Thessaloniki, Greece

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0 Expert Systems
0 sensor networks
0 Decision Support Systems
0 Forest informatics
0 Spatial planning of RES multicriteria decision analysis

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Artificial neural networks and computing
Expert Systems
Decision Support Systems
Spatial planning of RES multicriteria decision analysis

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Journal article
Published: 22 July 2021 in Information
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Grazing has long been recognized as an effective means of modifying natural habitats and, by extension, as a wildlife and protected area management tool, in addition to the obvious economic value it has for pastoral communities. A holistic approach to grazing management requires the estimation of grazing timing, frequency, and season length, as well as the overall grazing intensity. However, traditional grazing monitoring methods require frequent field visits, which can be labor intensive and logistically demanding to implement, especially in remote areas. Questionnaire surveys of farmers are also widely used to collect information on grazing parameters, however there can be concerns regarding the reliability of the data collected. To improve the reliability of grazing data collected and decrease the required labor, we tested for the first time whether a novel combination of autonomous recording units and the semi-automated detection algorithms of livestock vocalizations could provide insight on grazing activity at the selected areas of the Greek Rhodope mountain range. Our results confirm the potential of passive acoustic monitoring (PAM) techniques as a cost-efficient method for acquiring high resolution spatiotemporal data on grazing patterns. Additionally, we evaluate the three algorithms that we developed for detecting cattle, sheep/goat, and livestock bell sounds, and make them available to the broader scientific community. We conclude with suggestions on ways that acoustic monitoring can further contribute to managing legal and illegal grazing, and offer a list of priorities for related future research.

ACS Style

Ilias Karmiris; Christos Astaras; Konstantinos Ioannou; Ioakim Vasiliadis; Dionisios Youlatos; Nikolaos Stefanakis; Aspassia Chatziefthimiou; Theodoros Kominos; Antonia Galanaki. Estimating Livestock Grazing Activity in Remote Areas Using Passive Acoustic Monitoring. Information 2021, 12, 290 .

AMA Style

Ilias Karmiris, Christos Astaras, Konstantinos Ioannou, Ioakim Vasiliadis, Dionisios Youlatos, Nikolaos Stefanakis, Aspassia Chatziefthimiou, Theodoros Kominos, Antonia Galanaki. Estimating Livestock Grazing Activity in Remote Areas Using Passive Acoustic Monitoring. Information. 2021; 12 (8):290.

Chicago/Turabian Style

Ilias Karmiris; Christos Astaras; Konstantinos Ioannou; Ioakim Vasiliadis; Dionisios Youlatos; Nikolaos Stefanakis; Aspassia Chatziefthimiou; Theodoros Kominos; Antonia Galanaki. 2021. "Estimating Livestock Grazing Activity in Remote Areas Using Passive Acoustic Monitoring." Information 12, no. 8: 290.

Journal article
Published: 10 May 2021 in Sustainability
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The number of solar photovoltaic (PV) arrays in Greece has increased rapidly during the recent years. As a result, there is an increasing need for high quality updated information regarding the status of PV farms. This information includes the number of PV farms, power capacity and the energy generated. However, access to this data is obsolete, mainly due to the fact that there is a difficulty tracking PV investment status (from licensing to investment completion and energy production). This article presents a novel approach, which uses free access high resolution satellite imagery and a deep learning algorithm (a convolutional neural network—CNN) for the automatic detection of PV farms. Furthermore, in an effort to create an algorithm capable of generalizing better, all the current locations with installed PV farms (data provided from the Greek Energy Regulator Authority) in the Greek Territory (131,957 km2) were used. According to our knowledge this is the first time such an algorithm is used in order to determine the existence of PV farms and the results showed satisfying accuracy.

ACS Style

Konstantinos Ioannou; Dimitrios Myronidis. Automatic Detection of Photovoltaic Farms Using Satellite Imagery and Convolutional Neural Networks. Sustainability 2021, 13, 5323 .

AMA Style

Konstantinos Ioannou, Dimitrios Myronidis. Automatic Detection of Photovoltaic Farms Using Satellite Imagery and Convolutional Neural Networks. Sustainability. 2021; 13 (9):5323.

Chicago/Turabian Style

Konstantinos Ioannou; Dimitrios Myronidis. 2021. "Automatic Detection of Photovoltaic Farms Using Satellite Imagery and Convolutional Neural Networks." Sustainability 13, no. 9: 5323.

Review
Published: 29 March 2021 in Information
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Automatic Weather Stations (AWS) are extensively used for gathering meteorological and climatic data. The World Meteorological Organization (WMO) provides publications with guidelines for the implementation, installation, and usages of these stations. Nowadays, in the new era of the Internet of Things, there is an ever-increasing necessity for the implementation of automatic observing systems that will provide scientists with the real-time data needed to design and apply proper environmental policy. In this paper, an extended review is performed regarding the technologies currently used for the implementation of Automatic Weather Stations. Furthermore, we also present the usage of new emerging technologies such as the Internet of Things, Edge Computing, Deep Learning, LPWAN, etc. in the implementation of future AWS-based observation systems. Finally, we present a case study and results from a testbed AWS (project AgroComp) developed by our research team. The results include test measurements from low-cost sensors installed on the unit and predictions provided by Deep Learning algorithms running locally.

ACS Style

Konstantinos Ioannou; Dimitris Karampatzakis; Petros Amanatidis; Vasileios Aggelopoulos; Ilias Karmiris. Low-Cost Automatic Weather Stations in the Internet of Things. Information 2021, 12, 146 .

AMA Style

Konstantinos Ioannou, Dimitris Karampatzakis, Petros Amanatidis, Vasileios Aggelopoulos, Ilias Karmiris. Low-Cost Automatic Weather Stations in the Internet of Things. Information. 2021; 12 (4):146.

Chicago/Turabian Style

Konstantinos Ioannou; Dimitris Karampatzakis; Petros Amanatidis; Vasileios Aggelopoulos; Ilias Karmiris. 2021. "Low-Cost Automatic Weather Stations in the Internet of Things." Information 12, no. 4: 146.

Journal article
Published: 01 August 2020 in Sustainability
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The ongoing economic development and prosperity have led not only to the exhaustion of the planet’s natural resources but also to numerous environmental problems. To address these problems, it is necessary that more individuals adopt energy saving practices while promoting alternative energy sources. In other words, future generations ought to adopt behaviors that will involve the sustainable management of energy. To that end, sustainable education can create citizens who not only have knowledge and awareness about the environment and the severe environmental issues but are also willing to take action to address these issues. Hence, the aim of the present study is to investigate the environmental attitudes and behaviors among primary school students and their parents in the municipality of Orestiada, in Greece. To achieve this objective, a structured questionnaire with closed-ended questions was used. Results showed that both students and parents had adequate levels of environmental awareness while their beliefs were translated into actual behaviors as they had adopted, to a significant extent, energy saving habits and practices.

ACS Style

Ioanna Zerinou; Evangelia Karasmanaki; Konstantinos Ioannou; Veronika Andrea; Georgios Tsantopoulos. Energy Saving: Views and Attitudes among Primary School Students and Their Parents. Sustainability 2020, 12, 6206 .

AMA Style

Ioanna Zerinou, Evangelia Karasmanaki, Konstantinos Ioannou, Veronika Andrea, Georgios Tsantopoulos. Energy Saving: Views and Attitudes among Primary School Students and Their Parents. Sustainability. 2020; 12 (15):6206.

Chicago/Turabian Style

Ioanna Zerinou; Evangelia Karasmanaki; Konstantinos Ioannou; Veronika Andrea; Georgios Tsantopoulos. 2020. "Energy Saving: Views and Attitudes among Primary School Students and Their Parents." Sustainability 12, no. 15: 6206.

Journal article
Published: 28 July 2020 in Resources Policy
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In Greece, lignite has played a key role in energy security and has delivered notable social benefits such as local employment. Since mining projects affect profoundly the life of residents living in the vicinity of these projects, the understanding of residents' attitudes to lignite mining assumes a great importance as it can guide the design of policies. Hence, this study investigates the attitudes towards new investments in lignite mining among residents living near Greece's largest lignite center which is located in Western Macedonia. Results showed that a considerable share of residents desired new lignite projects and categorical regression analysis revealed that men desired new lignite plants more than women while, in terms of occupation, workers, undergraduate students, unemployed and private employees desired new lignite investments more than public employees and farmers. In addition, this study segmented survey respondents into three attitude groups (positive, neutral and negative) based on their desire for new lignite plants in their vicinity to indicate how the views of each attitude group on various topics related to resource extraction differentiate. As lignite phase-out is approaching in Greece, the findings of the present study may be particularly useful to policymakers in order to design a more socially acceptable decommissioning plan.

ACS Style

Evangelia Karasmanaki; Konstantinos Ioannou; Konstantinos Katsaounis; Georgios Tsantopoulos. The attitude of the local community towards investments in lignite before transitioning to the post-lignite era: The case of Western Macedonia, Greece. Resources Policy 2020, 68, 101781 .

AMA Style

Evangelia Karasmanaki, Konstantinos Ioannou, Konstantinos Katsaounis, Georgios Tsantopoulos. The attitude of the local community towards investments in lignite before transitioning to the post-lignite era: The case of Western Macedonia, Greece. Resources Policy. 2020; 68 ():101781.

Chicago/Turabian Style

Evangelia Karasmanaki; Konstantinos Ioannou; Konstantinos Katsaounis; Georgios Tsantopoulos. 2020. "The attitude of the local community towards investments in lignite before transitioning to the post-lignite era: The case of Western Macedonia, Greece." Resources Policy 68, no. : 101781.

Editorial
Published: 25 September 2019 in Sustainability
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This editorial aims to introduce the themes and approaches covered in this special issue on education, communication, and decision-making on renewable and sustainable energy. At first, I discuss the themes and topics that have informed the creation of this special issue. Then, I provide an overview of the content of each paper that is included on the special issue. Additionally, this editorial provides a solid background on the relationships between the factors affecting decision-making on renewable energy sources as well as on the degree of influence education and communication takes part in the attitudes of the public towards renewable energy sources.

ACS Style

Konstantinos Ioannou. Education, Communication and Decision-Making on Renewable and Sustainable Energy. Sustainability 2019, 11, 5262 .

AMA Style

Konstantinos Ioannou. Education, Communication and Decision-Making on Renewable and Sustainable Energy. Sustainability. 2019; 11 (19):5262.

Chicago/Turabian Style

Konstantinos Ioannou. 2019. "Education, Communication and Decision-Making on Renewable and Sustainable Energy." Sustainability 11, no. 19: 5262.

Journal article
Published: 27 May 2019 in Energy Policy
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The optimization of spatial planning in order to identify the most suitable places for the installation of wind farms is one of the most difficult problems mainly due to the need of identification and calculation of a variety of qualitative and quantitative parameters as well as their effect on the final solution. Multi Criteria Decision Making Methods (MCDM) are commonly used in order to solve this problem and are combined with Geographic Information Systems (GIS) to spatially represent the results from the application of the MCDM methodology. This paper presents a methodology which is based on the combination of a MCDM methodology called Analytical Hierarch Process (AHP) and GIS in order to determine the most suitable locations for wind farms installation. The calculated locations are then ranked using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in order to rank the locations based on installation suitability. The application of this methodology can help decision makers to easily overcome conflicting parameters and propose optimal solutions which are acceptable from citizens and stake holders while at the same time are economical and environmental friendly.

ACS Style

Ioannou Konstantinos; Tsantopoulos Georgios; Arabatzis Garyfalos. A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece. Energy Policy 2019, 132, 232 -246.

AMA Style

Ioannou Konstantinos, Tsantopoulos Georgios, Arabatzis Garyfalos. A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece. Energy Policy. 2019; 132 ():232-246.

Chicago/Turabian Style

Ioannou Konstantinos; Tsantopoulos Georgios; Arabatzis Garyfalos. 2019. "A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece." Energy Policy 132, no. : 232-246.

Journal article
Published: 24 December 2018 in Water
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Urban expansion substantially alters the impervious areas in a catchment, which in turn affects surface runoff and sediment yield in the downstream areas. In this study, the Land Transformation Model (LTM) was used to forecast the urban land expansion in a catchment, whilst future land use maps were employed according to the Soil Conservation Service Curve Number method (SCS-CN) and the Modified Universal Soil Loss Equation (MUSLE) model, so as to examine the urbanization effects on runoff and sediment yield production respectively. Compared to pristine conditions, urban land is anticipated to increase from 6% in 1979 to 31% by 2027. The latter expansion pointed to an increase of peak discharge by 2.2–2.6 times and of flood volume by 1.6–2.1 times, with the sediment yield ranging between 0.47 to 1.05 t/ha for the upcoming 2027 period. Furthermore, the urban sprawl effects on all the latter variables were more profound during short duration storm events. Forecasting urban expansion through integrated artificial neural networks (ANN) and geographic information system (GIS) techniques, in order to calculate the associated design storm hydrograph and sediment yield, is of great importance, in order to properly plan and design hydraulic works that can sustain future urban development.

ACS Style

Dimitrios Myronidis; Konstantinos Ioannou. Forecasting the Urban Expansion Effects on the Design Storm Hydrograph and Sediment Yield using Artificial Neural Networks. Water 2018, 11, 31 .

AMA Style

Dimitrios Myronidis, Konstantinos Ioannou. Forecasting the Urban Expansion Effects on the Design Storm Hydrograph and Sediment Yield using Artificial Neural Networks. Water. 2018; 11 (1):31.

Chicago/Turabian Style

Dimitrios Myronidis; Konstantinos Ioannou. 2018. "Forecasting the Urban Expansion Effects on the Design Storm Hydrograph and Sediment Yield using Artificial Neural Networks." Water 11, no. 1: 31.

Articles
Published: 10 December 2018 in Hydrological Sciences Journal
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Ten notable meteorological drought indices were compared on tracking the effect of drought on streamflow. A 730-month dataset of precipitation, temperature and evapotranspiration for 88 catchments in Oregon, USA, representing pristine conditions, was used to compute the drought indices. These indices were correlated with the monthly streamflow datasets of the minimum, maximum and mean discharge, and the discharge monthly fluctuation; it was revealed that the 3-month Z-score drought index (Z3) has the best association with the four streamflow variables. The Mann-Kendall trend detection test applied to the latter index time series mainly highlighted a downward trend in the autumn and winter drought magnitude (DM) and an upward trend in the spring and summer DM (p = 0.05). Finally, the Pettitt test indicated an abrupt decline in the annual and autumn DM, which began in 1984 and 1986, respectively.

ACS Style

Dimitrios Myronidis; Dimitrios Fotakis; Konstantinos Ioannou; Konstantina Sgouropoulou. Comparison of ten notable meteorological drought indices on tracking the effect of drought on streamflow. Hydrological Sciences Journal 2018, 63, 2005 -2019.

AMA Style

Dimitrios Myronidis, Dimitrios Fotakis, Konstantinos Ioannou, Konstantina Sgouropoulou. Comparison of ten notable meteorological drought indices on tracking the effect of drought on streamflow. Hydrological Sciences Journal. 2018; 63 (15-16):2005-2019.

Chicago/Turabian Style

Dimitrios Myronidis; Dimitrios Fotakis; Konstantinos Ioannou; Konstantina Sgouropoulou. 2018. "Comparison of ten notable meteorological drought indices on tracking the effect of drought on streamflow." Hydrological Sciences Journal 63, no. 15-16: 2005-2019.

Journal article
Published: 01 November 2018 in Renewable Energy
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In the study two typologies of regional units in Greece were developed that were based on their energy characteristics, such as electricity consumption in variable energy sectors–including the domestic, industrial, commercial, and agricultural– as well as the number and the respective installed power of renewable energy sources (RES) plants for electricity generation. These typologies’ deployment aim at developing administrative tools that will draw the decision planning towards future energy policy in Greece. The statistical methodology adopted was a hierarchical cluster analysis. Particularly, two analyses were materialized, in line to the aforementioned energy characteristics. Under this methodological framework, the hierarchical cluster analysis resulted in four clusters, each featuring different characteristics. Specifically, in the first analysis the first cluster consists mainly of the lowest energy consumption regional units, while the fourth cluster consists mainly of the highest energy consumption regional units. Besides, the second and the third cluster consist of regional units where the RES penetration is significant, enabling the wider energy autonomy and independence from other, mainly fossil-fuelled, sources of energy production, whereas in the fourth cluster the participative role of RES in energy production was noted as very low.

ACS Style

Grigorios L. Kyriakopoulos; Garyfallos Arabatzis; Panagiotis Tsialis; Konstantinos Ioannou. Electricity consumption and RES plants in Greece: Typologies of regional units. Renewable Energy 2018, 127, 134 -144.

AMA Style

Grigorios L. Kyriakopoulos, Garyfallos Arabatzis, Panagiotis Tsialis, Konstantinos Ioannou. Electricity consumption and RES plants in Greece: Typologies of regional units. Renewable Energy. 2018; 127 ():134-144.

Chicago/Turabian Style

Grigorios L. Kyriakopoulos; Garyfallos Arabatzis; Panagiotis Tsialis; Konstantinos Ioannou. 2018. "Electricity consumption and RES plants in Greece: Typologies of regional units." Renewable Energy 127, no. : 134-144.

Journal article
Published: 07 March 2018 in Sustainability
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Education makes it possible for students to become familiar with the rational management of energy as well as learn to implement energy saving practices in their everyday life. The study of certain student characteristics helps in the direction of applying strategies of behavioural change. The aim of this research is to record the knowledge and attitudes of elementary school students in the Prefecture of Evros with regard to energy saving. The collection of research data was done through the use of a structured and anonymous questionnaire with closed questions. The method used for the collection of the research data was cluster sampling. This involved 17 elementary schools of the continental part of the prefecture. 612 questionnaires were completed by students of the 5th and 6th grade of these schools. The evaluation of the research data showed that 69.6% of the students think that the most appropriate house temperature is 20°C with 79.1% of the students keeping the thermostat switched off while the house is aired. With regard to the use of TV, stereo, play station and PC the research showed that 93.8% of the students switch off the above devices when these are not in use. In parallel, 86.6% of the respondents usually or always switch off the lights when coming out of a room and 46.2% of the students use energy saving bulbs. Also, 93% of the students recycle because they believe that doing so contributes to the protection of the environment while 41% always chooses to walk to school. With regard to the significance of reasons concerning energy saving 85.9% thinks that energy saving is important to very important for reducing environmental pollution.

ACS Style

Sideri Lefkeli; Evangelos Manolas; Konstantinos Ioannou; Georgios Tsantopoulos. Socio-Cultural Impact of Energy Saving: Studying the Behaviour of Elementary School Students in Greece. Sustainability 2018, 10, 737 .

AMA Style

Sideri Lefkeli, Evangelos Manolas, Konstantinos Ioannou, Georgios Tsantopoulos. Socio-Cultural Impact of Energy Saving: Studying the Behaviour of Elementary School Students in Greece. Sustainability. 2018; 10 (3):737.

Chicago/Turabian Style

Sideri Lefkeli; Evangelos Manolas; Konstantinos Ioannou; Georgios Tsantopoulos. 2018. "Socio-Cultural Impact of Energy Saving: Studying the Behaviour of Elementary School Students in Greece." Sustainability 10, no. 3: 737.

Journal article
Published: 16 February 2018 in Sustainability
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Renewable Energy Sources are expected to play a very important role in energy production in the following years. They constitute an energy production methodology which, if properly enabled, can ensure energy sufficiency as well as the protection of the environment. Energy production from biomass in particular is a very common method, which exploits a variety of resources (wood and wood waste, agricultural crops and their by-products after cultivation, animal wastes, Municipal Solid Waste (MSW) and food processing wastes) for the production of energy. This paper presents a Spatial Decision Support System, which enables managers to locate the most suitable areas for biomass power plant installation. For doing this, fuzzy logic and fuzzy membership functions are used for the creation of criteria layers and suitability maps. In this paper, we use a Multicriteria Decision Analysis methodology (Analytical Hierarchy Process) combined with fuzzy system elements for the determination of the weight coefficients of the participating criteria. Then, based on the combination of fuzzy logic and theAnalytic Hierarchy Process (AHP), a final proposal is created thatdivides the area into four categories regarding their suitability forsupporting a biomass energy production power plant. For the two optimal locations, the biomass is also calculated.The framework is applied to theRegional Unit of Drama, which is situated in Northern Greece and is very well known for the area’s forest and agricultural production.

ACS Style

Konstantinos Ioannou; Georgios Tsantopoulos; Garyfallos Arabatzis; Zacharoula Andreopoulou; Eleni Zafeiriou. A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece. Sustainability 2018, 10, 531 .

AMA Style

Konstantinos Ioannou, Georgios Tsantopoulos, Garyfallos Arabatzis, Zacharoula Andreopoulou, Eleni Zafeiriou. A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece. Sustainability. 2018; 10 (2):531.

Chicago/Turabian Style

Konstantinos Ioannou; Georgios Tsantopoulos; Garyfallos Arabatzis; Zacharoula Andreopoulou; Eleni Zafeiriou. 2018. "A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece." Sustainability 10, no. 2: 531.

Article
Published: 12 January 2018 in Water Resources Management
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The persistent water shortage in Cyprus has been alleviated by importing freshwater from neighbouring countries, and severe droughts have been met with financial reimbursement from the EU at least twice. The goal of this research is to investigate and perform short-term forecasting of both streamflow and hydrological drought trends over the island. Eleven hydrometric stations with a 34-year common record length of the mean daily discharge from 10/1979 to 09/2013 are used for this purpose, with the relevant upstream catchments considered to represent pristine conditions. The Streamflow Drought Index (SDI) successfully captures the hydrological drought conditions over the island, and the performance of the index is validated based on both the historic drought archives and results from other drought indices for the island. The Mann–Kendall (M-K) test reveals that the annual and seasonal time series of the discharge volumes always illustrate a decreasing but insignificant trend at a significance level of a = 0.05; additionally, the decrease per decade in the average annual streamflow volume based on Sen’s slope statistic is approximately −9.4%. The M-K test on the SDI reveals that drought conditions intensified with time. Ten autoregressive integrated moving average (ARIMA) models are built and used to forecast the mean monthly streamflow values with moderate accuracy; the best ARIMA forecast model in each catchment is derived by comparing two model-performance statistical measures for the different (p,d,q) model parameters. The predicted discharge values are processed by the SDI-3 index, revealing that non-drought conditions are expected in most catchments in the upcoming three months, although mild-drought conditions are anticipated for catchments 7, 8 and 9.

ACS Style

Dimitrios Myronidis; Konstantinos Ioannou; Dimitrios Fotakis; Gerald Dörflinger. Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus. Water Resources Management 2018, 32, 1759 -1776.

AMA Style

Dimitrios Myronidis, Konstantinos Ioannou, Dimitrios Fotakis, Gerald Dörflinger. Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus. Water Resources Management. 2018; 32 (5):1759-1776.

Chicago/Turabian Style

Dimitrios Myronidis; Konstantinos Ioannou; Dimitrios Fotakis; Gerald Dörflinger. 2018. "Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus." Water Resources Management 32, no. 5: 1759-1776.

Conference paper
Published: 12 August 2014 in Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014)
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Droughts on the island of Cyprus are more frequently occurring during the last decades. This has and will have major impacts on natural resources, particularly on semi-aquatic and aquatic ecosystems. Wetlands are very important aquatic ecosystems with many functions and values, especially in semi-arid regions. The study area is the Wetland of the Larnanca Salt Lake that belongs to the Natura 2000 Network and the Ramsar Convention. It hosts thousands of migratory birds every year. Forecasting accurately the future climatic conditions of an area can greatly enhance the ability to provide the best possible managerial practices regarding a natural resource (e.g. wetland). These climate forecasts can provide significant information on future conditions of the Wetland of Larnaca Salt Lake, particularly when forecasting when and how long the drying conditions could last. In this study, an Artificial Neural Networks (ANN) was used as a tool for short term prediction of the precipitation in the study area. The methodology used two time series (temperature and precipitation) in order to train the ANN. Temperatures were used as the input variable to the ANN while precipitation was used as the output variables. The forecast was based on data from the period between 1993 and 2013. In order to estimate the accuracy of the produced results the correlation coefficient, the Root Mean Square Error (RMSE) and the Mean Absolute Percentage Error (MAPE) was correlated. Overall, this tool can help the responsible authorities of the wetland to manage it more efficiently.

ACS Style

Georgios Spanou; Konstantinos K. Ioannou; Valasia Iakovoglou; George N. Zaimes. Forecasting precipitation and temperatures at the island of Cyprus to enhance wetland management. Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014) 2014, 9229, 92291N .

AMA Style

Georgios Spanou, Konstantinos K. Ioannou, Valasia Iakovoglou, George N. Zaimes. Forecasting precipitation and temperatures at the island of Cyprus to enhance wetland management. Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014). 2014; 9229 ():92291N.

Chicago/Turabian Style

Georgios Spanou; Konstantinos K. Ioannou; Valasia Iakovoglou; George N. Zaimes. 2014. "Forecasting precipitation and temperatures at the island of Cyprus to enhance wetland management." Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014) 9229, no. : 92291N.

Journal article
Published: 01 January 2014 in International Journal of Green Economics
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The present study aims to examine the views and attitudes of Burgas' residents in Bulgaria. The research was carried out with the help of structured questionnaire; and the method of personal interview was used. In particular, it explores the views and attitudes of residents of Burgas on recycling, their views and attitudes on the cleanliness and waste management in the city and their knowledge regarding these issues, as well their willingness to pay for higher municipal taxes in order to support the paper recycling programmes. Totally 385 questionnaires were answered. From the results it was proven that the residents of Burgas are sensitive to the issue of recycling. The use of recycled paper is accepted for most part of the population. The majority of residents of Burgas are willing to support financially the recycling programmes.

ACS Style

Garyfallos Arabatzis; Viktoriya Treneva; Chrisovaladis Malesios; Konstantinos Ioannou. Views and attitudes of Burgas's residents (Bulgaria) for paper recycling. International Journal of Green Economics 2014, 8, 49 .

AMA Style

Garyfallos Arabatzis, Viktoriya Treneva, Chrisovaladis Malesios, Konstantinos Ioannou. Views and attitudes of Burgas's residents (Bulgaria) for paper recycling. International Journal of Green Economics. 2014; 8 (1):49.

Chicago/Turabian Style

Garyfallos Arabatzis; Viktoriya Treneva; Chrisovaladis Malesios; Konstantinos Ioannou. 2014. "Views and attitudes of Burgas's residents (Bulgaria) for paper recycling." International Journal of Green Economics 8, no. 1: 49.

Journal article
Published: 01 September 2013 in Renewable and Sustainable Energy Reviews
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ACS Style

Garyfallos Arabatzis; Konstantinos Petridis; Spyros Galatsidas; Konstantinos Ioannou. A demand scenario based fuelwood supply chain: A conceptual model. Renewable and Sustainable Energy Reviews 2013, 25, 687 -697.

AMA Style

Garyfallos Arabatzis, Konstantinos Petridis, Spyros Galatsidas, Konstantinos Ioannou. A demand scenario based fuelwood supply chain: A conceptual model. Renewable and Sustainable Energy Reviews. 2013; 25 ():687-697.

Chicago/Turabian Style

Garyfallos Arabatzis; Konstantinos Petridis; Spyros Galatsidas; Konstantinos Ioannou. 2013. "A demand scenario based fuelwood supply chain: A conceptual model." Renewable and Sustainable Energy Reviews 25, no. : 687-697.

Journal article
Published: 01 January 2013 in International Journal of Data Analysis Techniques and Strategies
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ACS Style

Giorgos Tigas; Panagiotis Lefakis; Konstantinos Ioannou; Athanasios Hasekioglou. Evaluation of artificial neural networks as a model for forecasting consumption of wood products. International Journal of Data Analysis Techniques and Strategies 2013, 5, 38 .

AMA Style

Giorgos Tigas, Panagiotis Lefakis, Konstantinos Ioannou, Athanasios Hasekioglou. Evaluation of artificial neural networks as a model for forecasting consumption of wood products. International Journal of Data Analysis Techniques and Strategies. 2013; 5 (1):38.

Chicago/Turabian Style

Giorgos Tigas; Panagiotis Lefakis; Konstantinos Ioannou; Athanasios Hasekioglou. 2013. "Evaluation of artificial neural networks as a model for forecasting consumption of wood products." International Journal of Data Analysis Techniques and Strategies 5, no. 1: 38.

Journal article
Published: 01 January 2013 in Procedia Technology
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ACS Style

Konstantinos Ioannou; Panagiotis Lefakis; George N. Zaimes; Dimitrios Emmanouloudis. Development of a Wireless Erosion Measuring Network. Procedia Technology 2013, 8, 520 -525.

AMA Style

Konstantinos Ioannou, Panagiotis Lefakis, George N. Zaimes, Dimitrios Emmanouloudis. Development of a Wireless Erosion Measuring Network. Procedia Technology. 2013; 8 ():520-525.

Chicago/Turabian Style

Konstantinos Ioannou; Panagiotis Lefakis; George N. Zaimes; Dimitrios Emmanouloudis. 2013. "Development of a Wireless Erosion Measuring Network." Procedia Technology 8, no. : 520-525.

Journal article
Published: 09 October 2012 in Water Resources Management
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During the last decades, a progressive decrease of water level in shallow Mediterranean lakes was recorded. This contribution tried to identify whether the rapid decrease of the Lake Doiran (N. Greece) water level was associated with drought phenomena. Drought characteristics over the study area were revealed by employing the Standardized Precipitation Index (SPI) in different time scales. Negative trends of the SPI drought index were recognized by using the Mann-Kendall non parametric test, which suggested that drought conditions were intensified through time. The impact of the intense drought phenomena to the lake’s water level became evident by employing the Pearson correlation coefficient. A year ahead forecast of future drought conditions was achieved by training a hybrid ARIMA/ANN model. The predicted results indicated that mild drought conditions should be anticipated in the future and the water level would further drop as well.

ACS Style

Dimitrios Myronidis; Dimitrios Stathis; Konstantinos Ioannou; Dimitris Fotakis. An Integration of Statistics Temporal Methods to Track the Effect of Drought in a Shallow Mediterranean Lake. Water Resources Management 2012, 26, 4587 -4605.

AMA Style

Dimitrios Myronidis, Dimitrios Stathis, Konstantinos Ioannou, Dimitris Fotakis. An Integration of Statistics Temporal Methods to Track the Effect of Drought in a Shallow Mediterranean Lake. Water Resources Management. 2012; 26 (15):4587-4605.

Chicago/Turabian Style

Dimitrios Myronidis; Dimitrios Stathis; Konstantinos Ioannou; Dimitris Fotakis. 2012. "An Integration of Statistics Temporal Methods to Track the Effect of Drought in a Shallow Mediterranean Lake." Water Resources Management 26, no. 15: 4587-4605.

Journal article
Published: 01 August 2012 in Forest Policy and Economics
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ACS Style

Dimitris Fotakis; Epameinondas Sidiropoulos; Dimitrios Myronidis; Konstantinos Ioannou. Spatial genetic algorithm for multi-objective forest planning. Forest Policy and Economics 2012, 21, 12 -19.

AMA Style

Dimitris Fotakis, Epameinondas Sidiropoulos, Dimitrios Myronidis, Konstantinos Ioannou. Spatial genetic algorithm for multi-objective forest planning. Forest Policy and Economics. 2012; 21 ():12-19.

Chicago/Turabian Style

Dimitris Fotakis; Epameinondas Sidiropoulos; Dimitrios Myronidis; Konstantinos Ioannou. 2012. "Spatial genetic algorithm for multi-objective forest planning." Forest Policy and Economics 21, no. : 12-19.