Quantifying the impact of nuisance flooding on urban coastal communities under present and future climatic conditions: Norfolk, Virginia as a case study
Jiwoo Jeong , Sergio A. Barbosa , Jonathan L. Goodall
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引用次数: 0
Abstract
Study region
Norfolk, Virginia, United States
Study focus
Nuisance flooding, characterized by frequent but minor floods, has been on the rise and the trend is expected to continue due to climate change. Utilizing a two-dimensional surface flow / one-dimensional pipe hydrodynamic model, this study presents a methodology for simulating flooding from low return period tidal and rainfall events to quantify the impact of nuisance flooding on urban coastal communities under present and future climatic conditions. Applying the methodology, the results show the impact of nuisance flooding from tidal alone and compound (i.e., rainfall and tide) events.
New hydrologic insights for the region
Using 2020 as a base year, the model suggests tidal nuisance flooding (TNF) impacts approximately 4 % (1.87 km2) of the study area. With a projected 1-meter sea-level rise by 2100, the TNF extent is projected to increase to approximately 12 % (5.85 km2) — more than tripling the 2020 TNF extent. For the 2020 base year, when rainfall and high tide occur simultaneously, compound nuisance flooding (CNF) leads to 11 % (5.15 km2) of the study area being inundated. By 2100, the projected inundated area by CNF is estimated to be 20 % (9.41 km2). Overall, sea level rise drives the expansion of TNF along riverbanks and adjacent areas, while submerging many urban drainage system outlets. This prevents efficient rainfall drainage, which causes CNF on inland low-lying areas.
期刊介绍:
Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.