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个人简介
María Díaz Redondo’s career has always revolved around river restoration science, developing her scientific understanding, practical expertise and contact networking in the international context, and incorporating new and emerging digital technologies.
As project manager during her predoctoral stage, she led 25 river restoration projects and plans. During her PhD in River Management and Restoration (2014-2018), she developed international training and research work, which she combined with scientific advisory work in Spain. In her postdoctoral stage, both as research officer in Ireland and as researcher in Spain, she has developed her own research lines in process-based river restoration. Her research has always strived for a constant knowledge transfer across all relevant stakeholders and wider public, for a proper link between science and society.
Maria’s research applies process-based restoration measures to fluvial benchmarks and biogeomorphic deficits in the context of anthropogenic constraints. Her original methodological approach includes an initial diachronic analysis, using GIS tools, and the subsequent testing of process-based restoration scenarios, using modelling techniques. She has implemented this approach, fully or in part, in different European case studies. Her studies uncovered a lack of natural rejuvenation processes, thus requiring practices conducive to natural river processes with more resilient river systems as an outcome.
Her initial methodology has been broadened with complementary research on urban rivers, extended knowledge on fish habitat requirements and new eco-hydraulic modelling, and development of new biogeomorphic indices and multicriteria assessment (physical, social and natural variables) to help in decision-making.
Her pursuing in further research includes: i) implementation of her methodology in other fluvial contexts; ii) process-based restoration approach applied to urban settings; iii) research on the link between process-based restoration and flood risk reduction; iv) complementary modelling tools (fish habitat and vegetation models); and v) potentiality of new technologies (e.g. drone applications).
研究兴趣
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Proceedings of the 39th IAHR World Congress (2022)
Proceedings of the 39th IAHR World Congress (2022)
Proceedings of the 39th IAHR World Congress (2022)
Revista de Lenguas para Fines Específicospp.140-156, (2021)
LFE-REVISTA DE LENGUAS PARA FINES ESPECIFICOSno. 1 (2021): 140-156
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