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Current European flood-rich period exceptional compared with past 500 years 期刊论文
NATURE, 2020, 583 (7817) : 560-+
作者:  ;  nter Blö;  schl;  Andrea Kiss;  Alberto Viglione;  Mariano Barriendos;  Oliver Bö;  hm;  Rudolf Brá;  zdil;  Denis Coeur;  Gaston Demaré;  e;  Maria Carmen Llasat;  Neil Macdonald;  Dag Retsö;  Lars Roald;  Petra Schmocker-Fackel;  Inê;  s Amorim;  Monika Bě;  ;  nová;  Gerardo Benito;  Chiara Bertolin;  Dario Camuffo;  Daniel Cornel;  Radosł;  aw Doktor;  ;  bor Elleder;  Silvia Enzi;  Joã;  o Carlos Garcia;  ;  diger Glaser;  Julia Hall;  Klaus Haslinger;  Michael Hofstä;  tter;  ;  rgen Komma;  Danuta Limanó;  wka;  David Lun;  Andrei Panin;  Juraj Parajka;  Hrvoje Petrić;  Fernando S. Rodrigo;  Christian Rohr;  Johannes Schö;  nbein;  Lothar Schulte;  Luí;  s Pedro Silva;  Willem H. J. Toonen;  Peter Valent;  ;  rgen Waser;  Oliver Wetter
收藏  |  浏览/下载:40/0  |  提交时间:2020/08/09

There are concerns that recent climate change is altering the frequency and magnitude of river floods in an unprecedented way(1). Historical studies have identified flood-rich periods in the past half millennium in various regions of Europe(2). However, because of the low temporal resolution of existing datasets and the relatively low number of series, it has remained unclear whether Europe is currently in a flood-rich period from a long-term perspective. Here we analyse how recent decades compare with the flood history of Europe, using a new database composed of more than 100 high-resolution (sub-annual) historical flood series based on documentary evidence covering all major regions of Europe. We show that the past three decades were among the most flood-rich periods in Europe in the past 500 years, and that this period differs from other flood-rich periods in terms of its extent, air temperatures and flood seasonality. We identified nine flood-rich periods and associated regions. Among the periods richest in floods are 1560-1580 (western and central Europe), 1760-1800 (most of Europe), 1840-1870 (western and southern Europe) and 1990-2016 (western and central Europe). In most parts of Europe, previous flood-rich periods occurred during cooler-than-usual phases, but the current flood-rich period has been much warmer. Flood seasonality is also more pronounced in the recent period. For example, during previous flood and interflood periods, 41 per cent and 42 per cent of central European floods occurred in summer, respectively, compared with 55 per cent of floods in the recent period. The exceptional nature of the present-day flood-rich period calls for process-based tools for flood-risk assessment that capture the physical mechanisms involved, and management strategies that can incorporate the recent changes in risk.


Analysis of thousands of historical documents recording floods in Europe shows that flooding characteristics in recent decades are unlike those of previous centuries.


  
Rapid geomagnetic changes inferred from Earth observations and numerical simulations 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Davies, Christopher J.;  Constable, Catherine G.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/09
A multifunctional assessment of integrated and ecological farming in olive agroecosystems in southwestern Spain using the Analytic Hierarchy Process 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Rodriguez Sousa, A. A.;  Parra-Lopez, C.;  Sayadi-Gmada, S.;  Barandica, J. M.;  Rescia, A. J.
收藏  |  浏览/下载:16/0  |  提交时间:2020/08/18
Agricultural supply  Farm income  Hierarchical analysis  Management practices  Olive-growing sector  Social demand  
Uncertainties in macroeconomic assessments of low-carbon transition pathways - The case of the European iron and steel industry 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Bachner, G.;  Mayer, J.;  Steininger, K. W.;  Anger-Kraavi, A.;  Smith, A.;  Barker, T. S.
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Climate change mitigation  Uncertainty  Low carbon transition  Iron and steel  Macroeconomic modelling  Process emissions  
International evaluation of an AI system for breast cancer screening 期刊论文
NATURE, 2020, 577 (7788) : 89-+
作者:  McKinney, Scott Mayer;  Sieniek, Marcin;  Godbole, Varun;  Godwin, Jonathan;  Antropova, Natasha;  Ashrafian, Hutan;  Back, Trevor;  Chesus, Mary;  Corrado, Greg C.;  Darzi, Ara;  Etemadi, Mozziyar;  Garcia-Vicente, Florencia;  Gilbert, Fiona J.;  Halling-Brown, Mark;  Hassabis, Demis;  Jansen, Sunny;  Karthikesalingam, Alan;  Kelly, Christopher J.;  King, Dominic;  Ledsam, Joseph R.;  Melnick, David;  Mostofi, Hormuz;  Peng, Lily;  Reicher, Joshua Jay;  Romera-Paredes, Bernardino;  Sidebottom, Richard;  Suleyman, Mustafa;  Tse, Daniel;  Young, Kenneth C.;  De Fauw, Jeffrey;  Shetty, Shravya
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/03

Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatment can be more successful(1). Despite the existence of screening programmes worldwide, the interpretation of mammograms is affected by high rates of false positives and false negatives(2). Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. To assess its performance in the clinical setting, we curated a large representative dataset from the UK and a large enriched dataset from the USA. We show an absolute reduction of 5.7% and 1.2% (USA and UK) in false positives and 9.4% and 2.7% in false negatives. We provide evidence of the ability of the system to generalize from the UK to the USA. In an independent study of six radiologists, the AI system outperformed all of the human readers: the area under the receiver operating characteristic curve (AUC-ROC) for the AI system was greater than the AUC-ROC for the average radiologist by an absolute margin of 11.5%. We ran a simulation in which the AI system participated in the double-reading process that is used in the UK, and found that the AI system maintained non-inferior performance and reduced the workload of the second reader by 88%. This robust assessment of the AI system paves the way for clinical trials to improve the accuracy and efficiency of breast cancer screening.


  
A Process-Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tarasova, L.;  Basso, S.;  Wendi, D.;  Viglione, A.;  Kumar, R.;  Merz, R.
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
event classification  event type  rainfall-runoff events  event typology  event characteristics  runoff generation mechanisms  
The Drivers of River Temperatures Below a Large Dam 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Daniels, Miles E.;  Danner, Eric M.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
river temperature  sensitivity analysis  meteorology  dam operations  
Extracellular electron transfer-dependent anaerobic oxidation of ammonium by anammox bacteria 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Shaw, Dario R.;  Ali, Muhammad;  Katuri, Krishna P.;  Gralnick, Jeffrey A.;  Reimann, Joachim;  Mesman, Rob;  van Niftrik, Laura;  Jetten, Mike S. M.;  Saikaly, Pascal E.
收藏  |  浏览/下载:6/0  |  提交时间:2020/05/13
The evolution of household-induced value chains and their environmental implications 期刊论文
ECOLOGICAL ECONOMICS, 2020, 174
作者:  Solis, Alberto Franco;  Avelino, Andre F. T.;  Carrascal-Incera, Andre
收藏  |  浏览/下载:6/0  |  提交时间:2020/05/13
Temporal Leontief Inverse  Time-series analysis  Trade  Consumption-based accounting  Greenhouse gases emissions  
A Model Analysis of the Tidal Engine That Drives Nitrogen Cycling in Coastal Riparian Aquifers 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Wallace, Corey D.;  Sawyer, Audrey H.;  Barnes, Rebecca T.;  Soltanian, Mohamad Reza;  Gabor, Rachel S.;  Wilkins, Michael J.;  Moore, Myles T.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
surface water-groundwater interactions  tidal  hyporheic  riparian  nitrogen  numerical modeling