Nothing Special   »   [go: up one dir, main page]

Lin et al., 2021 - Google Patents

Hurricane freshwater flood risk assessment model for residential buildings in southeast US coastal states considering climate change

Lin et al., 2021

Document ID
15344190581397056117
Author
Lin C
Cha E
Publication year
Publication venue
Natural Hazards Review

External Links

Snippet

A significant amount of hurricane losses are caused by rainfall-induced freshwater flooding, and hurricane precipitation is expected to increase in the warming climate. However, the climate change impact on the hurricane rainfall-induced flood risk has not been investigated …
Continue reading at ascelibrary.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management

Similar Documents

Publication Publication Date Title
Umar et al. Flooding in Nigeria: a review of its occurrence and impacts and approaches to modelling flood data
Ali et al. Spatial–temporal characterization of rainfall in Pakistan during the past half-century (1961–2020)
Jung et al. Uncertainty quantification in flood inundation mapping using generalized likelihood uncertainty estimate and sensitivity analysis
Forestieri et al. The impact of climate change on extreme precipitation in Sicily, Italy
Pradhan et al. A 100‐year maximum flood susceptibility mapping using integrated hydrological and hydrodynamic models: Kelantan River Corridor, Malaysia
Yang et al. Physics-based assessment of climate change impact on long-term regional bridge scour risk using hydrologic modeling: Application to Lehigh river watershed
Li et al. Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): An urban-level analysis of Shenzhen, China
Karamouz et al. Combined impact of inland and coastal floods: Mapping knowledge base for development of planning strategies
Fleming et al. Development and operational testing of a super‐ensemble artificial intelligence flood‐forecast model for a Pacific Northwest river
Gomez et al. Skill of ensemble flood inundation forecasts at short-to medium-range timescales
Sopelana et al. A continuous simulation approach for the estimation of extreme flood inundation in coastal river reaches affected by meso-and macrotides
El Alaoui El Fels et al. Rainfall regionalization and variability of extreme precipitation using artificial neural networks: a case study from western central Morocco
Rahman et al. Regional extreme rainfall mapping for Bangladesh using L-moment technique
Markus et al. Communicating the impacts of projected climate change on heavy rainfall using a weighted ensemble approach
Sharma et al. Deriving spatially distributed precipitation data using the artificial neural network and multilinear regression models
Vogel et al. Climate, streamflow and water supply in the northeastern United States
Yuan et al. Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins
Karamouz et al. Distributed hydrologic modeling of coastal flood inundation and damage: nonstationary approach
Booth et al. Hydrologic metrics for status‐and‐trends monitoring in urban and urbanizing watersheds
Sawaf et al. Extent of detection of hidden relationships among different hydrological variables during floods using data-driven models
Wang et al. Evaluation of multi‐source precipitation data in a watershed with complex topography based on distributed hydrological modeling
Osheen et al. Evaluation of an urban drainage system using functional and structural resilience approach
Lin et al. Hurricane freshwater flood risk assessment model for residential buildings in southeast US coastal states considering climate change
Sušanj et al. Methodology for developing hydrological models based on an artificial neural network to establish an early warning system in small catchments
McGauley et al. A complete water balance of a rain garden