Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jens Grundmann"'
Flood forecasting and warning for small catchments are challenging due to the short response time of the catchments on heavy rainfall events. Thus, disaster managers are interested in extended lead times to initiate flood defence measures, which can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab9aae49fe29a8fa9aecde751fa092a5
https://doi.org/10.5194/egusphere-egu23-9645
https://doi.org/10.5194/egusphere-egu23-9645
Autor:
Michael Wagner, Jens Grundmann
Flash floods often lead to significant damages and human suffering. To mitigate this, hydrological forecasting models provide extended warning time and allow for better preparedness in the affected areas.Among other data, hydrological modeling highly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9849994655d1adf8b3ad426972ff20ea
https://doi.org/10.5194/egusphere-egu23-8978
https://doi.org/10.5194/egusphere-egu23-8978
Floods are among the most frequently occurring natural disasters in Germany. Therefore, predicting their occurrence is a crucial task for efficient disaster management and for the protection of life, property, infrastructure and cultural assets. In r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d20145e1cfce7ef058d3f0d15513bbd
https://doi.org/10.5194/egusphere-egu23-9726
https://doi.org/10.5194/egusphere-egu23-9726
The measuring of flood events is associated with many challenges. Among them is the determination of flow velocities for the derivation of discharge. Most of the applied methods for velocity determination the disadvantage that they work in direct con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46d1f8541344202e60dc43701d0fe2ad
https://doi.org/10.5194/egusphere-egu23-9946
https://doi.org/10.5194/egusphere-egu23-9946
Obtaining real-time water level estimations is crucial for effective monitoring and response during emergencies caused by heavy rainfall and rapid flooding. Typically, this type of monitoring can be a difficult task, requiring river reach preparation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fc434e5fb2400968965e59a12ff317
https://doi.org/10.5194/egusphere-egu23-6745
https://doi.org/10.5194/egusphere-egu23-6745
Autor:
Gesche Reumann, Jens Grundmann, Diana Burghardt, Corina Hauffe, Christine Stevens, Christin Jahns
Publikováno v:
Grundwasser. 27:97-111
ZusammenfassungDie Freiberger Mulde, die einen Teil des Freiberger Reviers entwässert, weist hohe Schwermetall‑, Arsen- und Sulfatbelastungen auf. Besonders der Abschnitt zwischen Berthelsdorf und Siebenlehn ist stark durch den Alterzbergbau sowie
Publikováno v:
Earth Surface Processes and Landforms. 46:2773-2787
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 717-722 (2021)
This study assesses the suitability to use RGB and thermal infrared imagery acquired from an UAV to measure surface flow velocities of rivers. The reach of a medium-scale river in Hungary is investigated. Image sequences with a frame rate of 2 Hz wer
Reliable warnings and forecasts of extreme precipitation and resulting floods are important for disaster mangers to initiate flood defence measures. Thus, disaster managers are interested in extended lead times, which can be obtained by employing for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c8fcbfe7a67e12ddd43ad34e494e88a
https://doi.org/10.5194/ems2022-679
https://doi.org/10.5194/ems2022-679
Reliable forecasts of water level and discharge are necessary for efficient disaster management in case of a flood event. The methods of flood forecasting are rapidly developing, part of this being artificial neural networks (ANN). These belong to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3a7209fe656aba2c2b86cf7c544fa9b
https://doi.org/10.5194/egusphere-egu22-6362
https://doi.org/10.5194/egusphere-egu22-6362