M
M. Bernhofen
Researcher at University of Leeds
Publications - 10
Citations - 722
M. Bernhofen is an academic researcher from University of Leeds. The author has contributed to research in topics: Flood myth & Population. The author has an hindex of 2, co-authored 6 publications receiving 245 citations.
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Journal ArticleDOI
Evaluating scenarios toward zero plastic pollution
Winnie W. Y. Lau,Yonathan Shiran,Richard M. Bailey,Ed Cook,Martin R. Stuchtey,Julia Koskella,Costas A. Velis,Linda K Godfrey,Julien Boucher,Margaret B. Murphy,Richard C. Thompson,Emilia Jankowska,Arturo Castillo Castillo,Toby D. Pilditch,Ben Dixon,Laura Koerselman,Edward Kosior,Enzo Favoino,Jutta Gutberlet,Sarah Baulch,Meera E. Atreya,David S. Fischer,Kevin K. He,Milan M. Petit,U. Rashid Sumaila,Emily Neil,M. Bernhofen,Keith Lawrence,James E. Palardy +28 more
TL;DR: To avoid a massive build-up of plastic in the environment, coordinated global action is urgently needed to reduce plastic consumption; increase rates of reuse, waste collection, and recycling; expand safe disposal systems; and accelerate innovation in the plastic value chain.
Journal ArticleDOI
A first collective validation of global fluvial flood models for major floods in Nigeria and Mozambique
M. Bernhofen,Charlie Whyman,Charlie Whyman,Mark A. Trigg,P. Andrew Sleigh,Andrew M. Smith,Christopher C. Sampson,Dai Yamazaki,Philip J. Ward,Roberto Rudari,Florian Pappenberger,Francesco Dottori,Peter Salamon,Hessel Winsemius +13 more
TL;DR: In this paper, the authors introduce the first collective validation of multiple global flood models against the same events and analyse how different model structures influence performance, and evaluate the flood extent output provided by six GFMs against satellite observations of historical flood extents.
Journal ArticleDOI
Global flood exposure from different sized rivers
TL;DR: In this article, the authors calculate flood exposure to different sized rivers using a model-independent geomorphological river flood susceptibility map (RFSM) and show that limits placed on the size of river represented in global flood models result in global exposure estimates that differ by more than a factor of 2.
The Role of Global Data Sets for Riverine Flood Risk Management at National Scales
M. Bernhofen,Sarah Cooper,Mark A. Trigg,Anna Mdee,Andrew Carr,Ajay Gajanan Bhave,Yady Tatiana Solano-Correa,E. L. Pencue Fierro,Ermias Teferi,Alemseged Tamiru Haile,Zulkifli Yusop,Noraliani Alias,Zulfaqar Sa’adi,Muhamad Anwar Bin Ramzan,Chandrika Thulaseedharan Dhanya,Prabhakar Shukla +15 more
TL;DR: In this paper , the authors evaluate the usefulness of global data for assessing flood risk in five countries: Colombia, England, Ethiopia, India, and Malaysia, and find that the data sets differ substantially at the national level, and this is reflected in the national flood risk estimates.
Journal ArticleDOI
The Role of Global Data Sets for Riverine Flood Risk Management at National Scales
TL;DR: In this paper , the authors evaluate the usefulness of global data for assessing flood risk in five countries: Colombia, England, Ethiopia, India, and Malaysia, and find that the data sets differ substantially at the national level, and this is reflected in the national flood risk estimates.