- Flood Risk Assessment and Management
- Tropical and Extratropical Cyclones Research
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Disaster Management and Resilience
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Hybrid Renewable Energy Systems
- Ocean Waves and Remote Sensing
- Earthquake and Tsunami Effects
- Smart Agriculture and AI
- Climate variability and models
- Infrastructure Resilience and Vulnerability Analysis
- Climate change and permafrost
- Remote Sensing in Agriculture
- Environmental and Agricultural Sciences
- Energy and Environment Impacts
- Coastal wetland ecosystem dynamics
- Soil Moisture and Remote Sensing
- Neural Networks and Applications
- Pomegranate: compositions and health benefits
- Water-Energy-Food Nexus Studies
- Genetics and Plant Breeding
- Land Use and Ecosystem Services
Dartmouth College
2023-2025
Dartmouth Hospital
2025
University of Alabama
2019-2023
ORCID
2021
Portland State University
2017
Abstract Flash flood is a recurrent natural hazard with substantial impacts in the Southeast US (SEUS) due to frequent torrential rainfalls that occur region, which are triggered by tropical storms, thunderstorms, and hurricanes. floods costly hazards, primarily their rapid onset. Therefore, predicting property damage of flash imperative for proactive disaster management. Here, we present systematic framework considers variety features explaining different components risk (i.e. hazard,...
Abstract Flash floods are common natural hazards in the southeast United States (SEUS) as a consequence of frequent torrential rainfall caused by tropical storms, thunderstorms, and hurricanes. Understanding flash flood characteristics is essential for mitigating associated risks implementing proactive risk management strategies. In this study, including frequency, duration, intensity assessed addition to their property damages. The National Oceanic Atmospheric Administration (NOAA) Storm...
Abstract The global increase in the frequency, intensity, and adverse impacts of natural hazards on societies economies necessitates comprehensive vulnerability assessments at regional to national scales. Despite considerable research conducted this subject, current risk are implemented relatively coarse resolution, they subject significant uncertainty. Here, we develop a block-level Socio-Economic-Infrastructure Vulnerability (SEIV) index that helps characterize spatial variation across...
Climate change is altering the frequency and intensity of physical hazards worldwide, magnifying risks to critical systems such as agriculture. Designing adaptive measures mitigate these challenging due large uncertainties in modeling both future climate associated sectoral impacts. Here, we help address this challenge a hydrologic context by examining combined role shaping projections soil moisture. By encoding simple conceptual water balance model differentiable programming framework,...
Abstract Tropical cyclones are among the most devastating natural disasters that pose risk to people and assets all around globe. The Saffir-Simpson scale is commonly used inform threatened communities about severity of hazard, but lacks consideration other potential drivers a hazardous situation (e.g. terrestrial coastal flooding). Here, we propose an alternative approach accounts for multiple components their likelihood coincidence appropriate characterization hurricane hazard. We assess...
Abstract The current Tropical Cyclones (TCs) scaling system, Saffir‐Simpson Hurricane Wind Scale (SSHWS), characterizes the hazardousness of these events solely based on wind speed. This is despite fact that TCs are classic examples compound hazards during which multiple hazard drivers wind, storm surge, and intense rainfall interact yield in impacts greater than sum individuals. Studies have shown people's decision to evacuate highly related estimated SSHWS category. Thus, ‐based...
Designing strategies to manage flood risks is complicated by the often large uncertainty surrounding risk projections. Uncertainty riverine can stem from choices regarding boundary and initial conditions, model structures, parameters as well interactions among hazards, exposures, vulnerabilities. Here we analyze a case study rank drivers of uncertainties hazards risks. Using Sobol sensitivity analysis with number simulations, thoroughly explore different sources uncertainty. We find that...
Wetlands are endangered ecosystems that provide vital habitats for flora and fauna worldwide. They serve as water carbon storage units regulating the global climate cycle, act natural barriers against storm-surge among other benefits. Long-term analyses crucial to identify wetland cover change support protection/restoration programs. However, such deal with insufficient validation data limit land classification pattern recognition tasks. Here, we analyze dynamics associated urbanization, sea...
Abstract This research aims to present a general framework by which the most appropriate wavelet parameters including mother wavelet, vanishing moment, and decomposition level can be chosen for joint transform machine learning model. study is organized in 2 parts: first part presents an evolutionary Levenberg‐Marquardt neural network (ELMNN) model as effective configuration, second describes how effectively embedded with developed ELMNN In this research, rainfall runoff time series data of...
Large population around the globe live in close proximity to freshwater-influenced coastal regions. These regions are, though, increasingly threatened by extreme hazards. Tropical Cyclones (TCs) are classic examples of compound hazards during which coincidence/concurrence two or more hazard drivers intensify impacts expected from each those isolation. Challenges for appropriate modeling floods can be summarized under three main categories: (1) multidimensionality processes, (2) nonlinearity...
Abstract Flooding drives considerable risks. Designing strategies to manage these risks is complicated by the often-large uncertainty surrounding flood risk projections. Uncertainty riverine can stem, for example, from choices regarding boundary conditions, model structures, and parameters as well interactions among hazards, exposures, vulnerabilities. A quantitative understanding of which factors drive uncertainties hazards inform design mission-oriented research. Here we analyze a case...
Abstract Flooding drives considerable risks. Designing strategies to manage these risks is complicated by the often large uncertainty surrounding flood risk projections. Uncertainty riverine can stem from choices regarding boundary conditions, model structures, and parameters as well interactions among hazards, exposures, vulnerabilities. Flood assessment involves multiple research disciplines including fields of atmospheric science, hydrology, socioeconomics. A quantitative understanding...
<p>Flash floods, as a result of frequent torrential rainfalls caused by tropical storms, thunderstorms,<br>and hurricanes, are prevalent natural disaster in the southeast U.S. (SEUS), which frequently<br>threaten human lives and properties region. According to National Weather<br>Service (NWS), flash floods generally initiate within less than six hours an intense rainfall<br>onset. Therefore, there is limited chance for...