Antonia Sebastian

ORCID: 0000-0002-4309-2561
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Tropical and Extratropical Cyclones Research
  • Disaster Management and Resilience
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Coastal and Marine Dynamics
  • Climate variability and models
  • Infrastructure Resilience and Vulnerability Analysis
  • Hydrological Forecasting Using AI
  • Landslides and related hazards
  • Meteorological Phenomena and Simulations
  • Disaster Response and Management
  • Precipitation Measurement and Analysis
  • Ocean Waves and Remote Sensing
  • Urban Stormwater Management Solutions
  • Coastal wetland ecosystem dynamics
  • Housing Market and Economics
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Big Data Technologies and Applications
  • Maritime Navigation and Safety
  • Soil erosion and sediment transport
  • Climate Change and Health Impacts
  • Risk and Safety Analysis
  • Species Distribution and Climate Change
  • Reservoir Engineering and Simulation Methods

University of North Carolina at Chapel Hill
2020-2025

University of Colorado Boulder
2022

Cooperative Institute for Research in Environmental Sciences
2022

Texas A&M University at Galveston
2019-2021

ORCID
2021

Rice University
2011-2020

Delft University of Technology
2017-2020

During August 25–30, 2017, Hurricane Harvey stalled over Texas and caused extreme precipitation, particularly Houston the surrounding area on 26–28. This resulted in extensive flooding with 80 fatalities large economic costs. It was an extremely rare event: return period of highest observed three-day precipitation amount, 1043.4 mm 3dy−1 at Baytown, is more than 9000 years (97.5% one-sided confidence interval) periods exceeded 1000 yr (750 3dy−1) a current climate. Observations since 1880...

10.1088/1748-9326/aa9ef2 article EN cc-by Environmental Research Letters 2017-12-01

Adverse consequences of floods change in time and are influenced by both natural socio-economic trends interactions. In Europe, previous studies historical flood losses corrected for demographic economic growth ('normalized') have been limited temporal spatial extent, leading to an incomplete representation over time. Here we utilize a gridded reconstruction exposure 37 European countries new database damaging since 1870. Our results indicate that, after correcting changes exposure, there...

10.1038/s41467-018-04253-1 article EN cc-by Nature Communications 2018-05-14

Characteristics of the built environment and overall local-level land use patterns are increasingly being attributed to greater surface runoff, flooding resulting economic losses from flood events. Specific configurations impervious surfaces cover may be as important determining a community's risk baseline environmental conditions. This study addresses this issue by statistically examining impacts adjacent (LULC) on damage recorded parcels within coastal watershed in southeast Texas. We...

10.1080/09640568.2013.802228 article EN Journal of Environmental Planning and Management 2013-06-06

The 100-year floodplain is the traditional indicator of flood risk and area in which specific mitigation requirements are required to occur United States. However, recent studies have indicated that there a growing disconnect between location actual losses. As result, strong need understand what undermining efficacy generate more accurate depiction risk. been few examine characteristics insured claims occurring outside how advanced hydrologic models may improve delineation. This study...

10.1061/(asce)nh.1527-6996.0000242 article EN Natural Hazards Review 2017-01-23

Traditional flood hazard analyses often rely on univariate probability distributions; however, in many coastal catchments, flooding is the result of complex hydrodynamic interactions between multiple drivers. For example, synoptic meteorological conditions can produce considerable rainfall-runoff, while also generating wind-driven elevated sea-levels. When these drivers interact space and time, they exacerbate impacts, a phenomenon known as compound flooding. In this paper, we build Bayesian...

10.3390/w10091190 article EN Water 2018-09-04

Abstract Flooding is a function of hydrologic, climatologic, and land use characteristics. However, the relative contribution these factors to flood risk over long-term uncertain. In response this knowledge gap, study quantifies how urbanization climatological trends influenced flooding in greater Houston region during Hurricane Harvey. The region—characterized by extreme precipitation events, low topographic relief, clay-dominated soils—is naturally prone, but it also one fastest growing...

10.1088/1748-9326/ab5234 article EN cc-by Environmental Research Letters 2019-10-29

Abstract. Pre-disaster planning and mitigation necessitate detailed spatial information about flood hazards their associated risks. In the US, Federal Emergency Management Agency (FEMA) Special Flood Hazard Area (SFHA) provides important areas subject to flooding during 1 % riverine or coastal event. The binary nature of hazard maps obscures distribution property risk inside SFHA residual outside SFHA, which can undermine efforts. Machine learning techniques provide an alternative approach...

10.5194/nhess-21-807-2021 article EN cc-by Natural hazards and earth system sciences 2021-03-01

Abstract Floods are the leading cause of natural disaster damages in United States, with billions dollars incurred every year form government payouts, property damages, and agricultural losses. The Federal Emergency Management Agency oversees delineation floodplains to mitigate but disparities exist between locations designated as high risk where flood occur due land use climate changes incomplete floodplain mapping. We harnessed publicly available geospatial datasets random forest...

10.1088/1748-9326/ac4f0f article EN cc-by Environmental Research Letters 2022-02-21

Abstract. An analysis was made of the loss life caused by Hurricane Harvey. Information collected for 70 fatalities that occurred due to event and were recovered within first 2 weeks after landfall. Most drowning (81 %), particularly in around vehicles. Males (70 %) people over 50 years old (56 overrepresented dataset. More than half greater Houston area (n = 37), where heavy rainfall dam releases unprecedented urban flooding. The majority outside designated 100- 500-year flood hazard areas.

10.5194/nhess-18-1073-2018 article EN cc-by Natural hazards and earth system sciences 2018-04-19

Abstract Despite the increasing economic losses from floods in coastal communities, little observational research has been done at a fine spatial scale to identify relative influence of residential location predicting adverse impacts. In response, this study conducts parcel‐level analysis flood specific location‐based variables on property damage multiple events. We statistically isolate effect characteristics insured claims associated with two major storms for over 7813 properties within...

10.1111/jfr3.12184 article EN Journal of Flood Risk Management 2015-05-29

Abstract In this study, we compare the ability of two riverine flood control approaches: channelization and stream preservation/setbacks, to alleviate adverse impacts rapid urbanization. To study effects structural intervention urban development on evolution floodplain, have chosen neighboring watersheds in Houston, TX: Brays Bayou Buffalo Bayou. While are similar size, topography, level, they contrasting management approaches. is channelized, whereas remains mostly unchannelized. We use...

10.1111/jfr3.12604 article EN cc-by Journal of Flood Risk Management 2020-03-06

Abstract Effective assessment of flood vulnerability and risk is essential for communities to manage hazards. This paper presents an empirical modeling methodology predict risk, considering factors hazard distribution, property exposure, built environment, socio‐demographic economic characteristics a community. Vulnerability empirically modeled as the expected fraction loss that uninsured within community (i.e., census tract) given water depth. Risk derived annual ratio. The proposed...

10.1111/jfr3.12739 article EN cc-by Journal of Flood Risk Management 2021-07-04

Abstract Direct damage from flooding at residential properties has typically been categorized as insured, with liabilities accruing to insurers, or uninsured, costs property owners. However, can also expose lenders and local governments financial risk, though the distribution of this risk is not well understood. Flood losses are limited direct damages, but include indirect effects such decreases in values, which be substantial, rarely quantified. The combination value decrease influences...

10.1029/2022ef003206 article EN cc-by-nc Earth s Future 2023-03-29

Abstract. Dynamic vulnerability, driven by changing social, economic, physical, and environmental characteristics, is critical to understanding flood risk. Despite its importance, existing risk assessment research often overlooks the mechanisms that drive dynamic vulnerability interactions between underlying characteristics. In this study, we systematically review methods used assess in context of floods compile their findings about drivers effects dynamics a dataset. We identify 28 relevant...

10.5194/egusphere-2025-850 preprint EN cc-by 2025-03-06

Abstract Estimates of flood inundation generated by runoff and coastal processes during tropical cyclones (TCs) are needed to better understand how exposure varies inland at the coast. While reduced‐complexity models have been previously shown efficiently simulate TC across large regions, a lack detailed validation studies these models, which being applied globally, has led uncertainty about quality predictions depth extent this translates exposure. In study, we complete comprehensive...

10.1029/2023wr036727 article EN cc-by-nc-nd Water Resources Research 2025-03-01

The purpose of this study is to analyze the combined effects storm surge and inland rainfall on floodplain a coastal bayou in Houston area by using dynamic hydraulic modeling. Most existing floodplains are defined only as an input into steady-state models do not consider impact hurricane-induced floodplain. HEC-RAS, one-dimensional flow model, was run for both steady- unsteady-states additional effect has Storm data from Hurricane Ike were utilized unsteady model Horsepen Bayou near...

10.1061/(asce)hy.1943-7900.0000398 article EN Journal of Hydraulic Engineering 2011-10-01

Although the 100-year floodplain is traditional indicator of risk from flooding and a catalyst for mitigation decisions in United States, increasing evidence indicates that this boundary not sufficient representing actual economic losses caused by floods. studies have demonstrated up to 50% occur outside boundaries, as writing it believed little or no research has been conducted on precise spatial characteristics these offers an alternative approach depicting flood exposure at local level....

10.1061/(asce)nh.1527-6996.0000091 article EN Natural Hazards Review 2012-08-20

Predicting coastal infrastructure reliability during hurricane events is important for risk-based design and disaster planning, including delineating viable emergency response routes. Previous research has focused on either vulnerability to sea-level rise flooding, or the impact of changing sea level landforms surge dynamics. This paper represents a multidisciplinary effort provide an integrative model combined impacts rise, landscape changes, flooding highway bridges—the only access points...

10.1061/(asce)nh.1527-6996.0000265 article EN Natural Hazards Review 2017-10-26

Abstract Rescue requests during large‐scale urban flood disasters can be difficult to validate and prioritise. High‐resolution aerial imagery is often unavailable or lacks the necessary geographic extent, making it obtain real‐time information about where flooding occurring. In this paper, we present a novel approach map extent of in Harris County, Texas Hurricane Harvey (August 25–30, 2017) identify people were most likely need immediate emergency assistance. Using Maximum Entropy, predict...

10.1111/jfr3.12549 article EN publisher-specific-oa Journal of Flood Risk Management 2019-05-29
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