Predicting Flash Flood Economic Damage at the Community Scale: Empirical Zero-Inflated Model with Semicontinuous Data-Reference-Cited by-同舟云学术

Predicting Flash Flood Economic Damage at the Community Scale: Empirical Zero-Inflated Model with Semicontinuous Data

Published:2023-11 Issue:4 Volume:24 Page:
ISSN:1527-6988
Container-title:Natural Hazards Review
language:en
Short-container-title:Nat. Hazards Rev.

Author:

Chang Shi¹^ORCID,Singh Wilkho Rohan²,Gharaibeh Nasir³,Lyle Stacey⁴,Zou Lei⁵

Affiliation:

1. Graduate Research Assistant, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843 (corresponding author). ORCID: .

2. Graduate Research Assistant, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843.

3. Professor, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843.

4. Associate Professor of Practice, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843.

5. Assistant Professor, Dept. of Geography, Texas A&M Univ., College Station, TX 77843.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/NHREFO.NHENG-1729

Reference50 articles.

1. Appraisers and Toxic Mold: Legal and Valuation Issues

2. A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017

3. A new look at the statistical model identification

4. Leveraging machine learning for predicting flash flood damage in the Southeast US

5. Flood Fatalities in the United States

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