Výsledky vyhledávání - "Andre, Niemann"

Akademický článek

A Temporal Fusion Transformer Model to Forecast Overflow from Sewer Manholes during Pluvial Flash Flood Events

Autor: Benjamin Burrichter, Juliana Koltermann da Silva, Andre Niemann, Markus Quirmbach

Publikováno v: Hydrology, Vol 11, Iss 3, p 41 (2024)

This study employs a temporal fusion transformer (TFT) for predicting overflow from sewer manholes during heavy rainfall events. The TFT utilised is capable of forecasting overflow hydrographs at the manhole level and was tested on a sewer network wi

Externí odkaz: https://doaj.org/article/311b2720b4a34d6fbe4f67c0dd38374a

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Akademický článek

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Conference report 7th JSWA/EWA/WEF Specialty Conference 'Resilience of Water Service'

Autor: Nora, Pankow, Andre, Niemann, Torsten, Frehmann, Tatano, Fabio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3656::6cb182605c3830097cecb98dfbc1a898
https://hdl.handle.net/11576/2712891

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A Spatiotemporal Deep Learning Approach for Urban Pluvial Flood Forecasting with Multi-Source Data

Autor: Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, Andre Niemann, Markus Quirmbach

Publikováno v: Water 15(9), 1760 (2023). doi:10.3390/w15091760 special issue: "Special Issue "The Application of Artificial Intelligence in Hydrology, Volume II" / Special Issue Editor: Dr. Gonzalo Astray, Guest Editor"
Water; Volume 15; Issue 9; Pages: 1760

Water 15(9), 1760 (2023). doi:10.3390/w15091760 special issue: "Special Issue "The Application of Artificial Intelligence in Hydrology, Volume II" / Special Issue Editor: Dr. Gonzalo Astray, Guest Editor"
Published by MDPI, Basel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1f5c1b48a23b402ca3406e1f3026039
https://doi.org/10.3390/w15091760

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Probabilistic water demand forecasting focussing on the impact of climate change and the quantification of uncertainties in the short- and mid-term

Autor: Gregor Johnen, Jens Kley-Holsteg, Andre Niemann, Florian Ziel

As could be seen in recent years, the impact of climate change is already detectable in water demand patterns and results in new challenges for the water supply sector. Demand peaks caused by changing climate conditions such as longer dry periods for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::798ce834fd0560315849b17848b1b13a
https://doi.org/10.5194/egusphere-egu22-10025

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AI-based hydromorphological assessment of river restoration using UAV-remote sensing

Autor: Felix Dacheneder, Karen Schulz, Andre Niemann

Many hydromorphological restoration measures have been applied on German water courses since 2000 the European water framework directive has been induced. The measures aim to improve the diversity of habitat alteration. Often a positive effect on aqu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd459b737be20802871d1ae75c4d05c

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