Evaluating Nature-Based Solution for Flood Reduction in Spercheios River Basin Part 2: Early Experimental Evidence

Abstract

A number of Nature Based Solutions (NBS) are being used around the world in order to address various hydrometeorological hazards as a more environmentally friendly alternative to hard structures. Such a solution has been created in the Spercheios river basin in Central Greece, which is susceptible to heavy rainfall and river bank overflow due to flood water from upstream, in order to mitigate flood and drought impacts under current and future climate conditions. Here a first attempt is made to use actual measurements taken from various sources in the river, including in-situ and satellite data, in order to establish early experimental evidence of the NBS efficiency in the area. The measurements include data from automated hydrological stations from the OpenHi network, satellite remote sensing data and field measurements performed along the Spercheios River basin. For each measurement used, different analysis has been performed based on data availability and pertinence to the NBS efficiency. Preliminary results presented here show that the NBS functions as designed and provides protection against flooding in the area, and can potentially diminish the risk of drought. The results are in agreement with the numerical outputs already presented in our previous work.

Soluciones Basadas en La Naturaleza: Un Análisis Bibliométrico De Tendencias Pasadas, Presentes Y Futuras

“…These results especially for hydrometeorological hazards are in concordance with the thematic map developed considering this theme as an opportunity to develop further research. In this regard, research conducted by Kuriqi & Hysa (2021) as well as Spyrou et al (2022) deal with the evaluation of efficiency NbS for flood reduction using in-situ information, satellite data and numerical simulations. Our analysis through the network and factorial approaches showed that only one article discusses the use of artificial intelligence in NbS research that was conducted by Sarabi et al (2022).…”