Aims
Green-Digi-Basin project is targeted to find the most effective green solutions for the boreal-subarctic river basins and improve existing calculations for river connectivity, i.e. nutrient and carbon loads to surface water systems from different land uses.
Project is developing a concept called Green-Digi-Basin
Green= Aiming to study the effects of climate and land-use changes to the river basins, nutrients, suspended matter and carbon loads, and study the greener, ecosystem-based solutions for managing the upcoming challenges.
Digi= aiming to create a digital twin of river basins, in particular three supersites (Vantaanjoki river, Oulanka River and Tana river), to develop next generation modeling research for fluvial environments in the context of water amount and quality.
Basin= Wide-ranging expertise from peatland & ground water hydrology to fluvial dynamics & state-of-the-art 3D mapping and modeling of the river basin and the catchment area.
Connection to Freshwater Competence Centre
Green-Digi-Basin project is closely connected to the Freshwater Competence Centre which has two other projects as well:
Scientific publications of the project
- Guigues, N., Uysal, E., Raveau, S., Magar, J., Billon, G., Kahiluoto, J., Schneider, R.J., Liv, L., Tosun, S.G., Canteau, G., Lalere, B. 2024. Insights on the validation of alternative tools for water quality monitoring: the case of on-site test kits, portable devices and continuous measuring devices. Accreditation and Quality Assurance 29: 163-173.
- Malekmohammadi B., C B Uvo, N Tayebzadeh Moghadam, R Noori, S Abolfathi Environmental Risk Assessment of Wetland Ecosystems Using Bayesian Belief Networks. Hydrology 2023, 10(1), 16.
- Eva Skarbøvik, Sofie Gyritia Madsen van't Veen, Emma E. Lannergård, Hannah Wenng, Marc Stutter, Magdalena Bieroza, Kevin Atcheson, Philip Jordan, Jens Fölster, Per-Erik Mellander, Brian Kronvang, Hannu Marttila, Øyvind Kaste, Ahti Lepistö, Maria Kämäri, 2023 Comparing in situ turbidity sensor measurements as a proxy for suspended sediments in North-Western European streams, CATENA, Volume 225.
- Cao, J., Liu, X., Su, X., Hædahl, J.H., Fjellestad, T.B., Haziri, D., Vu A.H., Koskiaho J., Karjalainen, S.M., Ronkanen, A-K., Tarkoma, S., Hui, P. 2023. Head-mounted display-based augmented reality for water quality visualization. Water Science and Engineering.
- Autio, A., Ala-Aho, P., Rossi, P.M., Ronkanen, A.-K., Aurela, M., Lohila, A., Korpelainen, P., Kumpula, T., Klöve, B., Marttila, H. 2023. Groundwater exfiltration pattern determination in the sub-arctic catchment using thermal imaging, stable water isotopes and fully-integrated groundwater-surface water modelling. Journal of Hydrology, 626, 130342.
- Ikkala, L., Ronkanen, A.-K., Ilmonen, J., Similä, M., Rehell, S., Kumpula, T., Päkkilä, L., Kløve, B., Marttila, H. 2022. Unmanned Aircraft System (UAS) Structure-From-Motion (SfM) for Monitoring the Changed Flow Paths and Wetness in Minerotrophic Peatland Restoration. Remote Sens. 2022, 14(13), 3169.
- Marttila, H., Laudon, H., Tallaksen, L.M., Jaramillo, F., Alfredsen, K., Ronkanen, A.-K., Kronvang, B., Lotsari, E., Kämäri, M., Ala-Aho, P., Nousu, J., Silander, J., Koivusalo, H., Kløve, B. 2022. Nordic hydrological frontier in the 21st century. Hydrology Research, nh2022120.
- Heikkinen, K., Saari, M., Heino, J., Ronkanen, A.-K., Kortelainen, P., Joensuu, S., Vilmi, A., Karjalainen S.-M., Hellsten, S., Visuri, M., Marttila, H. 2022. Iron in boreal river catchments: biochemical, ecological and management implications, Science of Total Environment, 805, 150256.
- Wade, A. J., Skeffington, R. A., Couture, R.-M., Erlandsson Lampa, M., Groot, S., Halliday, S. J., Harezlak, V., Hejzlar, J., Jackson-Blake, L. A., Lepistö, A., Papastergiadou, E., Riera, J. L., Rankinen, K., Shahgedanova, M., Trolle, D., Whitehead, P. G., Psaltopoulos, D., & Skuras, D. 2022. Land use change to reduce freshwater nitrogen and phosphorus will be effective even with projected climate change. Water, 14(5), 829.
- Gonzales-Inca, C., Calle, M., Croghan, D., Torabi Haghighi, A., Marttila, H., Silander, J., Alho, P. 2022. Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends. Water 14.
More information
Development manager Anna-Kaisa Ronkanen, Finnish Environment Institute (Syke), firstname.surname@syke.fi