Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jeff Neal"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Flood risk modelling neglects the location of people and assets. Here the authors applied machine learning techniques and high-resolution population data to reinvestigate the impact of population distributions on flood exposure and showed that popula
Externí odkaz:
https://doaj.org/article/c14b36755011474ba2a151bf0248d457
Autor:
Oliver Wing, Niall Quinn, Pete Uhe, James Savage, Chris Sampson, Nans Addor, Natalie Lord, Tom Collings, Simbi Hatchard, Jannis Hoch, Andy Smith, Anthony Cooper, Joe Bates, Hamish Wilkinson, Sam Himsworth, Izzy Probyn, Ivan Haigh, Jeff Neal, Paul Bates
The past decade has seen considerable advances in the field of global flood modelling. In the 2010s, it began as a niche academic endeavour building models of the order 103 m horizontal resolution. In the 2020s, it is maturing into an established sci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71c4e4d4e654dcf62b7c62d767e31d8e
https://doi.org/10.5194/egusphere-egu23-6383
https://doi.org/10.5194/egusphere-egu23-6383
Global flood risk maps combine data from hydrodynamic models with gridded population or GDP data to estimate the amount of people or wealth likely to be exposed to future flood events. These estimates rarely incorporate measures of social vulnerabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccf74702751eeb1a0efad6a8ed5950d6
https://doi.org/10.5194/egusphere-egu23-3570
https://doi.org/10.5194/egusphere-egu23-3570
Autor:
Paul Bates, James Savage, Ollie Wing, Niall Quinn, Christopher Sampson, Andrew Smith, Jeff Neal
We present a climate-conditioned catastrophe flood model for the UK that simulates pluvial, fluvial and coastal flood risks at 1 arc second spatial resolution (~20-25m). Hazard layers for ten different return periods are produced over the whole UK fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7221cc4d7ac7b3676cd4171e5a3d099b
https://doi.org/10.5194/egusphere-egu23-3372
https://doi.org/10.5194/egusphere-egu23-3372
Publikováno v:
Water Resources Research. 59
Autor:
Martin G. Pomper, John Laterra, Hyo-Eun C. Bhang, Bachchu Lal, Jeff Neal, Joseph P. Bressler, Yimao Zhang
Supplementary Figures 1-5 from ABCG2/BCRP Expression Modulates d-Luciferin–Based Bioluminescence Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d42685b61c9bc8c90894b753424a56a
https://doi.org/10.1158/0008-5472.22369989.v1
https://doi.org/10.1158/0008-5472.22369989.v1
Autor:
Augustine Kiptum, Emmah Mwangi, George Otieno, Andrew Njogu, Mary Kilavi, Zacharia Mwai, Dave MacLeod, Jeff Neal, Laurence Hawker, Tom O'Shea, Halima Saado, Emma Visman, Bernard Majani, Martin C. Todd
Publikováno v:
Journal of Flood Risk Management.
Autor:
Raphael M Tshimanga, Mark A Trigg, Jeff Neal, Preksides Ndomba, Denis A Hughes, Andrew B Carr, Pierre M Kabuya, Gode B Bola, Catherine A Mushi, Jules T Beya, Felly K Ngandu, Gabriel M Mokango, Felix Mtalo, Paul Bates
Publikováno v:
American Geophysical Union Congo Monograph
Autor:
Gode B. Bola, Raphael M. Tshimanga, Jeff Neal, Mark A. Trigg, Laurence Hawker, Vincent M. Lukanda, Paul Bates
Publikováno v:
Bola, G, Tshimanga, R M, Neal, J, Trigg, M A, Hawker, L P, Lukanda, V M L & Bates, P D 2022, ' Understanding flood seasonality and flood regime shift in the Congo River Basin ', Hydrological Sciences Journal, vol. 67, no. 10, pp. 1496-1515 . https://doi.org/10.1080/02626667.2022.2083966
In the sparsely investigated region of the Congo Basin (CB), flood seasonality and flood regime shift are established through relative frequency, cluster analysis, directional statistics, and non-overlapping block methods based on block maxima and pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::079a1117e97324f17809592724885ad6
https://research-information.bris.ac.uk/ws/files/345903998/Understanding_flood_seasonality_and_flood_regime_shift_in_the_Congo_River_Basin.pdf
https://research-information.bris.ac.uk/ws/files/345903998/Understanding_flood_seasonality_and_flood_regime_shift_in_the_Congo_River_Basin.pdf
Dissemination of early warning information and effective preparedness are critical components in flood risk management and shape the dynamics of any successful early response. To enable efficient preparedness and an early response to hazards, early w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f52d2a70b435efe3e21c92e8c0ecc13f
https://doi.org/10.5194/egusphere-egu22-12207
https://doi.org/10.5194/egusphere-egu22-12207