Koopaeidar, Mehdi ; Schmalz, Britta (2023)
Concept of a smart environmental monitoring and flood warning system.
Tag der Hydrologie 2023: Nachhaltiges Wassermanagement - Regionale und Globale Strategien. Bochum, Germany (21.03.-23.03.2023)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In the course of river basin investigation initiated by cities and municipalities of the state of Hessen, there is a need for local and regional flood protection measures. For this reason, we have established a research project within the LOEWE center emergenCITY with the aim of developing an environmental monitoring and warning system for early assessment and warning of floods and low flow based on real-time measurement data with data fusion from various sources using artificial intelligence. The project includes three main stages. First is developing a model including hydrological and hydraulic processes to estimate water amounts spatially and temporally. Thereafter combine the model with the artificial intelligence methods to create a smart flood forecast system. And at last, creation of a smart communication system for transferring data and alarm levels to authorities, emergency services and citizens. The integrated assessment and warning system will be developed according to cooperative governance. The research project has started in July 2022 and currently is on its first stage. The Schwarzbach catchment (Nauheim gauge) in the state of Hessen has been chosen as the study area. Moreover, the catchment has been divided to 11 sub-catchments and a lumped hydrological model developed based on a digital elevation model with a resolution of 1 meter using the HEC-HMS program. Furthermore, precipitation data obtained the German weather service (DWD) and discharge data from the Hessian State Agency for Nature Conservation, Environment and Geology (HLNUG) with resolutions of 10 and 15 minutes, respectively, were used. Eventually, within the research, we are going to look into different aspects of innovative and sustainable measures for improving the resilient infrastructures of digital cities that can withstand crises and disasters related to weather extremes.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Koopaeidar, Mehdi ; Schmalz, Britta |
| Art des Eintrags: | Bibliographie |
| Titel: | Concept of a smart environmental monitoring and flood warning system |
| Sprache: | Englisch |
| Publikationsjahr: | März 2023 |
| Veranstaltungstitel: | Tag der Hydrologie 2023: Nachhaltiges Wassermanagement - Regionale und Globale Strategien |
| Veranstaltungsort: | Bochum, Germany |
| Veranstaltungsdatum: | 21.03.-23.03.2023 |
| Kurzbeschreibung (Abstract): | In the course of river basin investigation initiated by cities and municipalities of the state of Hessen, there is a need for local and regional flood protection measures. For this reason, we have established a research project within the LOEWE center emergenCITY with the aim of developing an environmental monitoring and warning system for early assessment and warning of floods and low flow based on real-time measurement data with data fusion from various sources using artificial intelligence. The project includes three main stages. First is developing a model including hydrological and hydraulic processes to estimate water amounts spatially and temporally. Thereafter combine the model with the artificial intelligence methods to create a smart flood forecast system. And at last, creation of a smart communication system for transferring data and alarm levels to authorities, emergency services and citizens. The integrated assessment and warning system will be developed according to cooperative governance. The research project has started in July 2022 and currently is on its first stage. The Schwarzbach catchment (Nauheim gauge) in the state of Hessen has been chosen as the study area. Moreover, the catchment has been divided to 11 sub-catchments and a lumped hydrological model developed based on a digital elevation model with a resolution of 1 meter using the HEC-HMS program. Furthermore, precipitation data obtained the German weather service (DWD) and discharge data from the Hessian State Agency for Nature Conservation, Environment and Geology (HLNUG) with resolutions of 10 and 15 minutes, respectively, were used. Eventually, within the research, we are going to look into different aspects of innovative and sustainable measures for improving the resilient infrastructures of digital cities that can withstand crises and disasters related to weather extremes. |
| Freie Schlagworte: | emergenCITY |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut Wasserbau und Wasserwirtschaft 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut Wasserbau und Wasserwirtschaft > Fachgebiet Ingenieurhydrologie und Wasserbewirtschaftung LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| Hinterlegungsdatum: | 26 Apr 2024 19:25 |
| Letzte Änderung: | 26 Apr 2024 19:25 |
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