Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Liam Wotherspoon"'
Publikováno v:
Geoscience Letters, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Reliable flood damage models are informed by detailed damage assessments. Damage models are critical in flood risk assessments, representing an elements vulnerability to damage. This study evaluated residential building damage for the July 2
Externí odkaz:
https://doaj.org/article/c73bf949b847499b8f036fdf74b5cecc
Publikováno v:
Hydrology, Vol 11, Iss 9, p 144 (2024)
This paper applied the fuzzy function approach, combined with the ridge regression model, to produce daily rainfall projections from large-scale climate variables. This study developed a statistical downscaling model based on principal components, c-
Externí odkaz:
https://doaj.org/article/0ab8a847460a4c02b63258b3c95f65a3
Publikováno v:
Journal of Flood Risk Management, Vol 16, Iss 4, Pp n/a-n/a (2023)
Abstract Flood damage arises from complex interactions between flooding processes and socio‐economic elements. Damage assessments for elements such as residential buildings rely on a modelled representation of local damage factors. Multivariable mo
Externí odkaz:
https://doaj.org/article/5b6011e5e9f748b7993346809e88f680
Publikováno v:
Journal of Flood Risk Management, Vol 15, Iss 4, Pp n/a-n/a (2022)
Abstract Flood damage assessments provide critical insights on processes controlling building damage and loss. Here, we present a novel damage assessment approach to develop an empirical residential building damage database from five flood events in
Externí odkaz:
https://doaj.org/article/e106a94333e74148871c677112c6a63c
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 7, p 1420 (2023)
This study investigates the direct and indirect impacts of extreme sea level (ESL) flooding on critical infrastructure. While methods to quantify the direct impacts of ESL flooding on coastal areas are well established, the indirect impacts that exte
Externí odkaz:
https://doaj.org/article/116d0c0cfad742cd8db89fea9fe95615
Publikováno v:
Journal of Flood Risk Management, Vol 15, Iss 2, Pp n/a-n/a (2022)
Abstract Flooding is New Zealand's most frequent natural hazard, responsible for the highest number of declared civil defence emergencies and greatest regular economic loss. Stopbanks (levees) perform a critical flood protection function in all regio
Externí odkaz:
https://doaj.org/article/b674ba6b61b045e98b3cd44623f00577
Publikováno v:
Bulletin of the New Zealand Society for Earthquake Engineering. 55:199-213
The paper uses two geospatial liquefaction models based on (1) global and (2) New Zealand specific variables such as Vs30, precipitation and water table depth to estimate liquefaction probability and spatial extent for the 2016 Kaikōura earthquake.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b66ba5f1443cf8ebcea3a815c5df98f3
https://doi.org/10.5459/bnzsee.55.4.199-213
https://doi.org/10.5459/bnzsee.55.4.199-213
Publikováno v:
Earthquake Spectra. 39:288-309
An experimental study of the fundamental period of vibration of geologic strata above multiple impedance contrasts is presented for the Canterbury Plains, a deep, complex sedimentary basin on the South Island of New Zealand. Microtremor Horizontal-to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58956fa3cffd59a7284818fcc670a5e0
https://doi.org/10.1177/87552930221130762
https://doi.org/10.1177/87552930221130762
Urbanisation changes the nature of urban catchments by altering landcover, soil conditions and runoff storage capacity, resulting in increased runoff volume and peak flow due to disruption of the hydrological cycle. Contemporary stormwater management
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b72f78532b67ac5f2ce1a0e9bd05bd87
https://doi.org/10.21203/rs.3.rs-2589585/v1
https://doi.org/10.21203/rs.3.rs-2589585/v1
This paper presents a new framework for the seismic loss prediction of residential buildings in Ōtautahi / Christchurch, New Zealand. It employs data science techniques, geospatial tools, and machine learning (ML) trained on insurance claims data fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bcff441fd6d55b1974d263962bb99bb
https://nhess.copernicus.org/articles/23/1207/2023/
https://nhess.copernicus.org/articles/23/1207/2023/