Email:
v.pisinaras@elgo.gr
Ο Βασίλειος Πισιναράς είναι Ερευνητής (Βαθμίδα Β’) στο Ινστιτούτο Εδαφικών και Υδατικών Πόρων (ΙΕΥΠ) του Ελληνικού Γεωργικού Οργανισμού–ΔΗΜΗΤΡΑ (ΕΛΓΟ). Το επιστημονικό του έργο επικεντρώνεται στη μοντελοποίηση υδρολογικών και υδρογεωλογικών διεργασιών, στη διαχείριση και βελτιστοποίηση υδατικών πόρων, στο Νέξους Νερού–Ενέργειας–Τροφίμων–Κλίματος, στην παρακολούθηση του περιβάλλοντος με αισθητήρες, στον προγραμματισμό άρδευσης, στην αξιολόγηση των επιπτώσεων της κλιματικής αλλαγής και στον σχεδιασμό και την εφαρμογή Λύσεων που Βασίζονται στη Φύση στον αγροτικό τομέα.
Από τον Μάιο του 2017 υπηρετεί ως Ερευνητής στο ΙΕΥΠ, με εγγεγραμμένο ερευνητικό αντικείμενο τη Διαχείριση Υδατικών Πόρων στην Γεωργία. Από το 2003 έως το 2017 εργάστηκε ως συμβασιούχος ερευνητής, συμμετέχοντας σε δεκατέσσερα ερευνητικά έργα με το Δημοκρίτειο Πανεπιστήμιο Θράκης, το Πανεπιστήμιο Πατρών, το Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης και τον ΕΛΓΟ.
Το επιστημονικό του έργο περιλαμβάνει 46 δημοσιεύσεις σε διεθνή περιοδικά και 82 δημοσιεύσεις σε πρακτικά συνεδρίων, με h-index 22 και 1.590 ετεροαναφορές στο Google Scholar. Έχει συμμετάσχει σε περισσότερα από τριάντα ευρωπαϊκά και διεθνή ερευνητικά έργα, αναλαμβάνοντας ρόλο Επιστημονικού Υπεύθυνου ή Αναπληρωτή Υπευθύνου στα PRIMA NexusLabs, HEurope SpongeWorks, H2020 REXUS, PRIMA LENSES, H2020 ATLAS και LIFE AgroClimaWater. Από το 2015 είναι ο Επικεφαλής Επιστήμονας του Υδρολογικού Παρατηρητηρίου Πηνειού που βρίσκεται στην Αγιά της Λάρισας και ανήκει στο ελληνικό και το Παγκόσμιο δίκτυο μακρόχρονης οικολογικής έρευνας (LTER, https://www.lter-greece.gr/sites/pinios-hydrologic-observatory/).
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Pagano, A., Coletta, V. R., Portoghese, I., Panagopoulos, A., Pisinaras, V., Chatzi, A., Malamataris, D., Babakos, K., Lilli, M. A., Nikolaidis, N. P., & Giordano, R. (2025). On the use of Participatory System Dynamics Modelling for WEF Nexus management: Hints from two case studies in the Mediterranean region. Environmental Impact Assessment Review, 115. https://doi.org/10.1016/j.eiar.2025.108012
Morianou, G., Karatzas, G. P., Arampatzis, G., Pisinaras, V., & Kourgialas, N. N. (2025). Assessing Soil Water Dynamics in a Drip-Irrigated Grapefruit Orchard Using the HYDRUS 2D/3D Model: A Comparison of Unimodal and Bimodal Hydraulic Functions. Agronomy, 15(2). https://doi.org/10.3390/agronomy15020504
Malamataris, D., Pisinaras, V., Pagano, A., Baratella, V., Vanino, S., Bea, M., Babakos, K., Chatzi, A., Fabiani, S., Giordano, R., Kafkias, P., López-Moya, E., Papadaskalopoulou, C., Portoghese, I., Tassopoulos, D., & Panagopoulos, A. (2025). Managing Water-Ecosystem-Food Nexus using participatory approaches: insights from an innovative methodological approach developed in two Mediterranean areas. Frontiers in Water, 7. https://doi.org/10.3389/frwa.2025.1469762
Coletta, V. R., Pluchinotta, I., Pisinaras, V., Panagopoulos, A., Giordano, R., Pagano, A., Fratino, U., & Montanari, A. (2025). Leverage Points and Cascading Impacts Analysis in Nexus Systems Using System Dynamics Modeling. Earth’s Future, 13(7). https://doi.org/10.1029/2025EF006190
Dombrowski, O., Brogi, C., Hendricks Franssen, H.-J., Pisinaras, V., Panagopoulos, A., Swenson, S., & Bogena, H. (2024). Land Surface Modeling as a Tool to Explore Sustainable Irrigation Practices in Mediterranean Fruit Orchards. Water Resources Research, 60(7). https://doi.org/10.1029/2023WR036139
Babakos, K., Papamichail, D., Pisinaras, V., Tziachris, P., Demertzi, K., & Aschonitis, V. (2024). Using a random cross-validation technique to compare typical regression vs. Random Forests for modelling pan evaporation. Italian Journal of Agrometeorology, 2024(1), 59–72. https://doi.org/10.36253/ijam-2043
Alfio, M. R., Pisinaras, V., Panagopoulos, A., & Balacco, G. (2024). Groundwater level response to precipitation at the hydrological observatory of Pinios (central Greece). Groundwater for Sustainable Development, 24. https://doi.org/10.1016/j.gsd.2024.101081
Vanino, S., Baratella, V., Pirelli, T., Ferrari, D., Di Fonzo, A., Pucci, F., Nikolaidis, N. P., Lilli, M. A., Doğan, Z. A., Topdemir, T., Awabdeh, S., Al-Hadidi, L., Bani Hani, N., Panagopoulos, A., Pisinaras, V., Chatzi, A., López, E., Papadaskalopoulou, C., Tassopoulos, D., … Fabiani, S. (2024). Nature-Based Solutions for Optimizing the Water–Ecosystem–Food Nexus in Mediterranean Countries. Sustainability (Switzerland), 16(10). https://doi.org/10.3390/su16104064
Sismani, G., Pisinaras, V., & Arampatzis, G. (2024). Water Governance for Climate-Resilient Agriculture in Mediterranean Countries. Water (Switzerland), 16(8). https://doi.org/10.3390/w16081103
Keramitsoglou, I., Sismanidis, P., Sykioti, O., Pisinaras, V., Tsakmakis, I., Panagopoulos, A., Argyriou, A., & Kiranoudis, C. T. (2023). SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days. Agriculture (Switzerland), 13(5). https://doi.org/10.3390/agriculture13051108
Malamataris, D., Chatzi, A., Babakos, K., Pisinaras, V., Hatzigiannakis, E., Willaarts, B. A., Bea, M., Pagano, A., & Panagopoulos, A. (2023). A Participatory Approach to Exploring Nexus Challenges: A Case Study on the Pinios River Basin, Greece. Water (Switzerland), 15(22). https://doi.org/10.3390/w15223949
Brogi, C., Pisinaras, V., Köhli, M., Dombrowski, O., Hendricks Franssen, H.-J., Babakos, K., Chatzi, A., Panagopoulos, A., & Bogena, H. R. (2023). Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors. Sensors, 23(5). https://doi.org/10.3390/s23052378
Pisinaras, V., Herrmann, F., Panagopoulos, A., Tziritis, E., McNamara, I., & Wendland, F. (2023). Fully Distributed Water Balance Modelling in Large Agricultural Areas—The Pinios River Basin (Greece) Case Study. Sustainability (Switzerland), 15(5). https://doi.org/10.3390/su15054343
Alfio, M. R., Pisinaras, V., Panagopoulos, A., & Balacco, G. (2023). A comprehensive assessment of RCP4.5 projections and bias-correction techniques in a complex coastal karstic aquifer in the Mediterranean. Frontiers in Earth Science, 11. https://doi.org/10.3389/feart.2023.1231296
Bogena, H. R., Schrön, M., Jakobi, J., Ney, P., Zacharias, S., Andreasen, M., Baatz, R., Boorman, D., Duygu, M. B., Eguibar-Galán, M. A., Fersch, B., Franke, T., Geris, J., González Sanchis, M., Kerr, Y., Korf, T., Mengistu, Z., Mialon, A., Nasta, P., … Vereecken, H. (2022). COSMOS-Europe: a European network of cosmic-ray neutron soil moisture sensors. Earth System Science Data, 14(3), 1125–1151. https://doi.org/10.5194/essd-14-1125-2022
Kourgialas, N. N., Psarras, G., Morianou, G., Pisinaras, V., Koubouris, G., Digalaki, N., Malliaraki, S., Aggelaki, K., Motakis, G., & Arampatzis, G. (2022). Good Agricultural Practices Related to Water and Soil as a Means of Adaptation of Mediterranean Olive Growing to Extreme Climate-Water Conditions. Sustainability (Switzerland), 14(20). https://doi.org/10.3390/su142013673
Kaffas, K., Pisinaras, V., Al Sayah, M. J., Santopietro, S., & Righetti, M. (2021). A USLE-based model with modified LS-factor combined with sediment delivery module for Alpine basins. Catena, 207. https://doi.org/10.1016/j.catena.2021.105655
Morianou, G., Kourgialas, N. N., Psarras, G., Pisinaras, V., & Arambatzis, G. (2021). Assessing desertification sensitivity map under climate change and agricultural practices scenarios: The island of Crete case study. Water Science and Technology: Water Supply, 21(6), 2916–2934. https://doi.org/10.2166/ws.2021.132
Skoulikidis, N. T., Nikolaidis, N. P., Panagopoulos, A., Ficher-Kowalski, M., Zogaris, S., Petridis, P., Pisinaras, V., Efstathiou, D., Petanidou, T., Maneas, G., Mihalopoulos, N., & Mimikou, M. (2021). The LTER-Greece environmental observatory network: Design and initial achievements. Water (Switzerland), 13(21). https://doi.org/10.3390/w13212971
Pisinaras, V., Paraskevas, C., & Panagopoulos, A. (2021). Investigating the effects of agricultural water management in a mediterranean coastal aquifer under current and projected climate conditions. Water (Switzerland), 13(1). https://doi.org/10.3390/w13010108
Tziritis, E., Pisinaras, V., Panagopoulos, A., & Arampatzis, G. (2021). RIVA: a new proposed method for assessing intrinsic groundwater vulnerability. Environmental Science and Pollution Research, 28(6), 7043–7067. https://doi.org/10.1007/s11356-020-10872-3
Demertzi, K., Pisinaras, V., Lekakis, E., Tziritis, E., Babakos, K., & Aschonitis, V. (2021). Assessing annual actual evapotranspiration based on climate, topography and soil in natural and agricultural ecosystems. Climate, 9(2), 1–16. https://doi.org/10.3390/cli9020020
Doulgeris, Ch., Pisinaras, V., Argyroudi, A., Tziritis, E., Hatzigiannakis, E., & Panagopoulos, A. (2020). Impacts on water level fluctuation in lake vegoritida: Insights for the historical and projected climate period. Desalination and Water Treatment, 194, 358–368. https://doi.org/10.5004/dwt.2020.25756
Bogena, H. R., Herrmann, F., Jakobi, J., Brogi, C., Ilias, A., Huisman, J. A., Panagopoulos, A., & Pisinaras, V. (2020). Monitoring of Snowpack Dynamics With Cosmic-Ray Neutron Probes: A Comparison of Four Conversion Methods. Frontiers in Water, 2. https://doi.org/10.3389/frwa.2020.00019
Babakos, K., Papamichail, D., Tziachris, P., Pisinaras, V., Demertzi, K., & Aschonitis, V. (2020). Assessing the robustness of pan evaporation models for estimating reference crop evapotranspiration during recalibration at local conditions. Hydrology, 7(3), 1–17. https://doi.org/10.3390/hydrology7030062
Georgoulis, I., Giantsis, I. A., Lattos, A., Pisinaras, V., Feidantsis, K., Michaelidis, B., Delis, G. A., & Theodoridis, A. (2020). The influence of climatic-oceanographic changes in aquaculture. A case review concerning mussel farming from Vistonikos Bay, Greece. In V. G & K. S (Eds.), CEUR Workshop Proceedings (Vol. 2761, pp. 51–61). CEUR-WS. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097541236&partnerID=40&md5=fb204ec0bde38db748794b6293a55f15
Tsakmakis, I. D., Kokkos, N. P., Gikas, G. D., Pisinaras, V., Hatzigiannakis, E., Arampatzis, G., & Sylaios, G. K. (2019). Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns. Agricultural Water Management, 213, 419–432. https://doi.org/10.1016/j.agwat.2018.10.029
Arampatzis, G., Pisinaras, V., Doulgeris, C., Tziritis, E., Sismani, G., & Panagopoulos, A. (2019). ESTIMATING EROSION ON TWO MEDITERRANEAN WATERSHEDS OF DIFFERENT HYDROLOGICAL REGIMES. In C. L (Ed.), Proceedings of the IAHR World Congress (pp. 4477–4485). International Association for Hydro-Environment Engineering and Research. https://doi.org/10.3850/38WC092019-1292
Kalpakis, V., Kokkos, N., Pisinaras, V., & Sylaios, G. (2019). An integrated coastal zone observatory at municipal level: the case of Kavala Municipality, NE Greece. Journal of Coastal Conservation, 23(1), 149–162. https://doi.org/10.1007/s11852-018-0646-5
Arampatzis, G., Hatzigiannakis, E., Pisinaras, V., Kourgialas, N., Psarras, G., Kinigopoulou, V., Panagopoulos, A., & Koubouris, G. (2018). Soil water content and olive tree yield responses to soil management, irrigation, and precipitation in a hilly mediterranean area. Journal of Water and Climate Change, 9(4), 672–678. https://doi.org/10.2166/wcc.2018.224
Pisinaras, V., Panagopoulos, A., Herrmann, F., Bogena, H. R., Doulgeris, C., Ilias, A., Tziritis, E., & Wendland, F. (2018). Hydrologic and geochemical research at pinios hydrologic observatory: Initial results. Vadose Zone Journal, 17(1). https://doi.org/10.2136/vzj2018.05.0102
Arampatzis, G., Panagopoulos, A., Pisinaras, V., Tziritis, E., & Wendland, F. (2018). Identifying potential effects of climate change on the development of water resources in Pinios River Basin, Central Greece. Applied Water Science, 8(2). https://doi.org/10.1007/s13201-018-0690-1
Tsakmakis, I., Kokkos, N., Pisinaras, V., Papaevangelou, V., Hatzigiannakis, E., Arampatzis, G., Gikas, G. D., Linker, R., Zoras, S., Evagelopoulos, V., Tsihrintzis, V. A., Battilani, A., & Sylaios, G. (2017). Operational Precise Irrigation for Cotton Cultivation through the Coupling of Meteorological and Crop Growth Models. Water Resources Management, 31(1), 563–580. https://doi.org/10.1007/s11269-016-1548-7
Panagopoulos, A., Arampatzis, G., Tziritis, E., Pisinaras, V., Herrmann, F., Kunkel, R., & Wendland, F. (2016). Assessment of climate change impact in the hydrological regime of River Pinios Basin, central Greece. Desalination and Water Treatment, 57(5), 2256–2267. https://doi.org/10.1080/19443994.2014.984926
Pisinaras, V., Polychronis, C., & Gemitzi, A. (2016). Intrinsic groundwater vulnerability determination at the aquifer scale: a methodology coupling travel time estimation and rating methods. Environmental Earth Sciences, 75(1), 1–12. https://doi.org/10.1007/s12665-015-4965-7
Pisinaras, V., Wei, Y., Bärring, L., & Gemitzi, A. (2014). Conceptualizing and assessing the effects of installation and operation of photovoltaic power plants on major hydrologic budget constituents. Science of the Total Environment, 493, 239–250. https://doi.org/10.1016/j.scitotenv.2014.05.132
Groenendijk, P., Heinen, M., Klammler, G., Fank, J., Kupfersberger, H., Pisinaras, V., Gemitzi, A., Peña-Haro, S., García-Prats, A., Pulido-Velazquez, M., Perego, A., Acutis, M., & Trevisan, M. (2014). Performance assessment of nitrate leaching models for highly vulnerable soils used in low-input farming based on lysimeter data. Science of the Total Environment, 499, 463–480. https://doi.org/10.1016/j.scitotenv.2014.07.002
Pisinaras, V., Petalas, C., Tsihrintzis, V. A., & Karatzas, G. P. (2013). Integrated modeling as a decision-aiding tool for groundwater management in a Mediterranean agricultural watershed. Hydrological Processes, 27(14), 1973–1987. https://doi.org/10.1002/hyp.9331
Boskidis, I., Pisinaras, V., Petalas, C., & Tsihrintzis, V. A. (2012). Monitoring and modeling of two alluvial aquifers in lower Nestos river basin, Northern Greece. Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering, 47(12), 1849–1868. https://doi.org/10.1080/10934529.2012.689552
Pisinaras, V., Tsihrintzis, V. A., Petalas, C., & Ouzounis, K. (2010). Erratum: Soil salinization in the agricultural lands of Rhodope District, northeastern Greece (Environmental Monitoring and Assessment DOI: 10.1007/s10661-009-0986-6). Environmental Monitoring and Assessment, 166(1–4), 689. https://doi.org/10.1007/s10661-009-1253-6
Boskidis, I., Gikas, G. D., Pisinaras, V., & Tsihrintzis, V. A. (2010). Spatial and temporal changes of water quality, and SWAT modeling of Vosvozis river basin, North Greece. Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering, 45(11), 1421–1440. https://doi.org/10.1080/10934529.2010.500936
Pisinaras, V., Tsihrintzis, V. A., Petalas, C., & Ouzounis, K. (2010). Soil salinization in the agricultural lands of Rhodope District, northeastern Greece. Environmental Monitoring and Assessment, 166(1–4), 79–94. https://doi.org/10.1007/s10661-009-0986-6
Pisinaras, V., Petalas, C., Gikas, G. D., Gemitzi, A., & Tsihrintzis, V. A. (2010). Hydrological and water quality modeling in a medium-sized basin using the Soil and Water Assessment Tool (SWAT). Desalination, 250(1), 274–286. https://doi.org/10.1016/j.desal.2009.09.044
Gemitzi, A., Petalas, C., Pisinaras, V., & Tsihrintzis, V. A. (2009). Spatial prediction of nitrate pollution in groundwaters using neural networks and GIS: An application to South Rhodope aquifer (Thrace, Greece). Hydrological Processes, 23(3), 372–383. https://doi.org/10.1002/hyp.7143
Petalas, C., Pisinaras, V., Gemitzi, A., Tsihrintzis, V. A., & Ouzounis, K. (2009). Current conditions of saltwater intrusion in the coastal Rhodope aquifer system, northeastern Greece. Desalination, 237(1–3), 22–41. https://doi.org/10.1016/j.desal.2007.12.020
Pisinaras, V., Petalas, C., Tsihrintzis, V. A., & Zagana, E. (2007). A groundwater flow model for water resources management in the Ismarida plain, North Greece. Environmental Modeling and Assessment, 12(2), 75–89. https://doi.org/10.1007/s10666-006-9040-z
Gemitzi, A., Petalas, C., Tsihrintzis, V. A., & Pisinaras, V. (2006). Assessment of groundwater vulnerability to pollution: A combination of GIS, fuzzy logic and decision making techniques. Environmental Geology, 49(5), 653–673. https://doi.org/10.1007/s00254-005-0104-1
[projects member="Βασίλης Πισινάρας"]
