Efficient job list creation for long-term statistical modelling of combined sewer overflows

Autor: Kiara Marie Allen, Ane Loft Mollerup, Søren Feilberg Rasmussen, Hjalte Jomo Danielsen Sørup

Publikováno v: Water Science and Technology, Vol 85, Iss 5, Pp 1424-1433 (2022)

The modelling of urban drainage systems is an important aspect of their design process and long-term statistical modelling using historical rain series is commonly used. The objective of this study is to determine whether logistic regression models t

Externí odkaz: https://doaj.org/article/445c213483314ee7bdb43825279169d6

Principles for Distributing Infiltration-Based Stormwater Control Measures in Series

Autor: Hjalte Jomo Danielsen Sørup, Sara Maria Lerer

Publikováno v: Water, Vol 13, Iss 8, p 1029 (2021)

Infiltration-based stormwater control measures are often implemented in a dispersed manner across catchments, making it difficult to assess their combined effect. This study proposes a set of principles that can guide planners in distributing stormwa

Externí odkaz: https://doaj.org/article/8019eceae7f64a1b8ed406bde5b8e93e

Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers:A case study from Copenhagen, Denmark

Autor: Nafsika Antoniadou, Hjalte Jomo Danielsen Sørup, Jonas Wied Pedersen, Ida Bülow Gregersen, Torben Schmith, Karsten Arnbjerg-Nielsen

Publikováno v: Antoniadou, N, Sørup, H J D, Pedersen, J W, Gregersen, I B, Schmith, T & Arnbjerg-Nielsen, K 2023, ' Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers : A case study from Copenhagen, Denmark ', EGU General Assembly 2023, Vienna, Austria, 23/04/2023-28/04/2023 . https://doi.org/10.5194/egusphere-egu23-5074

Extreme precipitation events can lead to severe negative consequences on society, the economy, and the environment. To mitigate related risks, it is crucial to understand their natural causes. There is a vast number of methods in the literature analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98f0202523abd215fbee2a1f1e016d4b
https://orbit.dtu.dk/en/publications/9f8232ba-2880-4340-9178-2b9d661157bb

Identifying a regional model for extreme rainfall in current climates – quo vadis?

Autor: Ida Bülow Gregersen, Karsten Arnbjerg-Nielsen, Hjalte Jomo Danielsen Sørup, Henrik Madsen

Establishing a regional model for intensity-duration-frequency (IDF) curves remain a vital task for design of urban infrastructures such as sewer systems and storm water detention ponds. However, identifying a suitable model remains tricky as subject

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04c1aec9db7c53b3684189069466c37d
https://doi.org/10.5194/egusphere-egu22-3117

Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses

Autor: Emma Dybro Thomassen, Søren Liedtke Thorndahl, Christoffer Bang Andersen, Ida Bülow Gregersen, Karsten Arnbjerg-Nielsen, Hjalte Jomo Danielsen Sørup

Publikováno v: Thomassen, E D, Thorndahl, S L, Andersen, C B, Gregersen, I B, Arnbjerg-Nielsen, K & Sørup, H J D 2022, ' Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses ', Journal of Hydrology, vol. 610, 127915 . https://doi.org/10.1016/j.jhydrol.2022.127915

The representation of extreme precipitation at small spatio-temporal scales is of major importance in urban hydrology. The present study compares point and radar observations to reanalyse climate model output data for a period of 14 years where there

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c98d4b1ab45c29d4616976cce69eed
https://orbit.dtu.dk/en/publications/b252dd36-f8f0-44b7-ae72-400a2fe567a4