Low‐Probability Flood Risk Modeling for New York City

Article Properties
  • Language
    English
  • DOI (url)
    10.1111/risa.12008
  • Publication Date
    2013/02/05
  • Journal
    Risk Analysis
  • Indian UGC (journal)
  • Refrences
    62
  • Citations
    88
  • Jeroen C. J. H. Aerts Institute for Environmental Studies (IVM) VU University Amsterdam Amsterdam The Netherlands
  • Ning Lin The Department of Civil and Environmental Engineering Princeton University Princeton NJ USA
  • Wouter Botzen Institute for Environmental Studies (IVM) VU University Amsterdam Amsterdam The Netherlands
  • Kerry Emanuel Massachusetts Institute of Technology (MIT) Cambridge MA USA
  • Hans de Moel Institute for Environmental Studies (IVM) VU University Amsterdam Amsterdam The Netherlands
Abstract
Cite
Aerts, Jeroen C. J. H., et al. “Low‐Probability Flood Risk Modeling for New York City”. Risk Analysis, vol. 33, no. 5, 2013, pp. 772-88, https://doi.org/10.1111/risa.12008.
Aerts, J. C. J. H., Lin, N., Botzen, W., Emanuel, K., & de Moel, H. (2013). Low‐Probability Flood Risk Modeling for New York City. Risk Analysis, 33(5), 772-788. https://doi.org/10.1111/risa.12008
Aerts JCJH, Lin N, Botzen W, Emanuel K, de Moel H. Low‐Probability Flood Risk Modeling for New York City. Risk Analysis. 2013;33(5):772-88.
Journal Categories
Medicine
Internal medicine
Special situations and conditions
Industrial medicine
Industrial hygiene
Science
Mathematics
Social Sciences
Social Sciences
Sociology (General)
Social Sciences
Statistics
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The potential of global coastal flood risk reduction using various DRR measures

 Natural Hazards and Earth System Sciences
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Statistical and hydrodynamic numerical modeling to quantify storm surge hazard: Comparison of approaches applied to U.S. North Atlantic coast Weather and Climate Extremes
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Who bears the indirect costs of flood risk? An economy-wide assessment of different insurance systems in Europe under climate change Economic Systems Research
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Assessment of TRMM rainfall data for flood modelling in three contrasting catchments in Java, Indonesia

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Citations Analysis
Category Category Repetition
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)40
Geography. Anthropology. Recreation: Environmental sciences38
Technology: Environmental technology. Sanitary engineering37
Science: Geology32
Science: Biology (General): Ecology30
Science: Physics: Meteorology. Climatology24
Technology: Engineering (General). Civil engineering (General)16
Social Sciences8
Science: Science (General)6
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene5
Social Sciences: Statistics5
Science: Mathematics5
Social Sciences: Sociology (General)5
Social Sciences: Economic theory. Demography: Economics as a science5
Technology: Engineering (General). Civil engineering (General): Environmental engineering4
Science4
Social Sciences: Commerce: Business3
Geography. Anthropology. Recreation: Geography (General)3
Geography. Anthropology. Recreation: Oceanography3
Geography. Anthropology. Recreation3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Photography2
Technology: Manufactures: Production management. Operations management2
Technology: Technology (General): Industrial engineering. Management engineering2
Medicine1
Technology: Engineering (General). Civil engineering (General): Transportation engineering1
Social Sciences: Transportation and communications1
Political science: Political institutions and public administration (General)1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Technology1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Science: Physics: Geophysics. Cosmic physics1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Social Sciences: Industries. Land use. Labor: Management. Industrial management1
Technology: Mechanical engineering and machinery1
Science: Mathematics: Probabilities. Mathematical statistics1
Agriculture1
Agriculture: Agriculture (General)1
Agriculture: Plant culture1
Technology: Ocean engineering1
Social Sciences: Finance1
Philosophy. Psychology. Religion: Psychology1
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry1
Science: Botany: Plant ecology1
Agriculture: Forestry1
The category Technology: Hydraulic engineering: River, lake, and water-supply engineering (General) 40 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Model projections of atmospheric steering of Sandy-like superstorms and was published in 2013. The most recent citation comes from a 2024 study titled The potential of global coastal flood risk reduction using various DRR measures. This article reached its peak citation in 2020, with 11 citations. It has been cited in 57 different journals, 17% of which are open access. Among related journals, the Natural Hazards cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year