A5069527755- Flood Risk Assessment and Management
- Tropical and Extratropical Cyclones Research
- Hydrology and Watershed Management Studies
- Infrastructure Resilience and Vulnerability Analysis
- Meteorological Phenomena and Simulations
- Ocean Waves and Remote Sensing
- Hydrology and Drought Analysis
- Climate variability and models
- Water Systems and Optimization
- Land Use and Ecosystem Services
- Hydrological Forecasting Using AI
- Disaster Management and Resilience
- Water resources management and optimization
- Housing Market and Economics
- Spatial and Panel Data Analysis
- Geological Modeling and Analysis
- Coastal wetland ecosystem dynamics
- Energy Load and Power Forecasting
- Hydrology and Sediment Transport Processes
- Coastal and Marine Management
- Impact of Light on Environment and Health
- Smart Grid Security and Resilience
- Probabilistic and Robust Engineering Design
- Dam Engineering and Safety
- Precipitation Measurement and Analysis
Pacific Northwest National Laboratory
2015-2024
Lawrence Berkeley National Laboratory
2023
Government of the United States of America
2023
NASA Earth Science
2021
University of Utah
2007-2020
Battelle
2017-2020
Los Alamos National Laboratory
2007-2015
Tennessee Technological University
2011
Several pathways for how climate change may influence the U.S. coastal hurricane risk have been proposed, but physical mechanisms and possible connections between various remain unclear. Here, future projections of activity (1980-2100), downscaled from multiple models using a synthetic model, show an enhanced frequency Gulf lower East coast regions. The increase in is driven primarily by changes steering flow, which can be attributed to development upper-level cyclonic circulation over...
The Battle of the Water Networks II (BWN-II) is latest a series competitions related to design and operation water distribution systems (WDSs) undertaken within Distribution Systems Analysis (WDSA) Symposium series. BWN-II problem specification involved broadly defined for an existing network that has be upgraded increased future demands, addition new development area. decisions parallel pipes, storage, operational controls pumps valves, sizing backup power supply. Design criteria hydraulic,...
Abstract While power outages caused by tropical cyclones (TCs) already pose a great threat to coastal communities, how—and why—these risks will change in warming climate is poorly understood. To address this need, we develop robust machine learning model capture TC-induced outage risk. When applied 900 000 synthetic TCs downscaled from simulated historical and future conditions under strong scenario, find risk the United States Puerto Rico expected increase broadly end of century, with some...
Abstract Reducing tropical cyclone (TC) intensity forecast errors is a challenging task that has interested the operational forecasting and research community for decades. To address this, we developed deep learning (DL)-based Multilayer Perceptron (MLP) TC prediction model. The model was trained using global Statistical Hurricane Intensity Prediction Scheme (SHIPS) predictors to change in maximum wind speed Atlantic Basin. In first experiment, 24-hour period considered. overcome sample size...
Low-lying coastal areas in the mid-Atlantic region are prone to compound flooding resulting from co-occurrence of river floods and storm surges. To better understand contribution nonlinear tide-surge-river interactions flooding, unstructured-grid Finite Volume Community Ocean Model was applied simulate surge Delaware Bay Estuary USA. The model validated with tide gauge data estuary for selected hurricane events. Nonlinear between were investigated using a nonstationary tidal analysis method,...
Abstract Historical records in the Delaware River Basin reveal complex and spatially diverse flood generating mechanisms influenced by region's mountains‐to‐plains gradients. This study focuses on predicting future hazards understanding underlying drivers of changes across region. Using a process‐based hydrological model, we analyzed hydrometeorological condition each historical event. For event, at subbasin scale, identified dominant mechanism, including snowmelt, rain‐on‐snow,...
Abstract. Based on the projected increase in hurricane landfall frequency middle to lower US east coast, we examined crucial role of estuarine wind field exacerbating coastal flooding. A regionally refined atmospheric and two high-resolution hydrology ocean models are integrated provide plausible physically consistent ensembles events associated flooding inside Delaware Bay River, a mid-Atlantic estuary. Model results show that propagation direction, geometry, remote surge from open ocean,...
Abstract This study presents a new M onte C arlo‐based flood inundation modelling framework for estimating probability weighted risk using computationally efficient graphics processing unit ( GPU ) two dimensional 2D hydraulic model. The model is programmed in the providing unique ability to run numerous simulations short period of time, permitting integration into arlo analysis. operates by performing many randomly sampled input parameters develop spatially varied hazard map. probabilistic...
Abstract In low‐lying estuarine regions, compound flooding (CF) is caused by the co‐occurrence of extreme precipitation, river and storm surge. recent decades, there has been a rise in frequency intensity pluvial‐coastal CF events different parts U.S. due to increased intense precipitation surge events. However, deltaic characteristics depend mainly on tide flow interaction. Understanding how fluvial‐coastal may respond changes watershed essential for future hazard prediction. This study...
Abstract Tropical Cyclones (TCs) cause significant socio-economic damages to the US and Caribbean coastal regions annually, making it important understand TC risk at local-to-regional scales. However, short length of observed record substantial computational expense associated with high-resolution climate models make difficult assess using either approach. To overcome these challenges, we developed a database synthetic TCs Risk Analysis Framework for (RAFT). The includes 40,000 tracks,...
Water cyber-physical systems (CPSs) have gained increasing interest to improve operational efficiency and reliability. However, due growing exposure attacks, cybersecurity resilience against the attacks become significant concerns. Efforts been made in water CPSs, but only a few attempts investigate attacks. This study contributes characterizing of CPS investigating potential strategies. An advanced measure that integrates withstanding, absorptive, adaptive, restorative capabilities system...
Extreme climate events or tails of natural hazard distributions tend to be the most damaging in terms societal impacts. While traditional physics-based approaches are suitable for gaining mechanistic understanding and process-based studies, they may not adequate characterizing probabilistic risk from extreme events. Here, we demonstrate a ML/AI-based approach estimating tropical cyclones (TCs) associated coastal flooding. First, simulate nearly one million TCs current future climates using...
Abstract River floods threaten life and economic stability, with risks increasing globally, especially in densely populated coastal areas. In mountainous watersheds like the Delaware Basin, rising temperature is projected to reduce snowpack, reshaping upstream–downstream flood dynamics. However, impact on synchronization between upland tributaries estuarine mainstems remains poorly understood. Using multidecadal streamflow simulations from a high-resolution hydrological model, we find...
Abstract Sea surface temperature (SST) and tropical cyclone heat potential (TCHP) are metrics used to incorporate the ocean’s influence on hurricane intensification into National Hurricane Center’s Statistical Intensity Prediction Scheme (SHIPS). While both SST TCHP serve as useful measures of upper-ocean content, they do not accurately represent ocean stratification effects. Here, it is shown that replacing within SHIPS framework with a dynamic Tdy, which accounts for oceanic negative...
Flooding is a prevalent natural disaster with both short and long-term social, economic, infrastructure impacts. Changes in intensity frequency of precipitation (including rain, snow, rain-on-snow) events create challenges for the planning management resilient communities. While there general acknowledgment that new design should account future climate change, no clear methods or actionable information are available to community planners designers ensure designs considering an uncertain...
Research efforts related to landfalling tropical cyclones (TCs) and their hydrological impacts have focused mostly on the continental or regional scales, whereas many coastal management infrastructure decisions are made at much finer spatial scales. In this context, study aims provide local-scale understandings of climatological characteristics TCs (from 1950 2019) over Mid-Atlantic region defined as Delaware River Basin (DRB) Susquehanna (SRB). The analysis is based analyzing long-term,...
Emergency flood management is enhanced by using models that can estimate the timing and location of flooding. Typically, routing inundation prediction accomplished one-dimensional (1D) models. These have been choice because they are computationally simple quick. However, these do not adequately represent complex physical processes present for shallow flows located in floodplain or urban areas. Two-dimensional (2D) developed on basis full hydrodynamic equations be used to flow phenomena exist...
Agent-based models (ABMs) have been increasingly used for flood risk analysis, driven by the recognition that commonly analyses typically neglect adaptive human behavior in relation to hazards. However, ABM simulation results can be highly sensitive a number of modeling choices. Here, we introduce an agent-based framework explore impact structural versus parametric choices household aversion on modeled outcomes hypothetical urban environment. We deploy three variants model fundamentally...
Abstract This study presents an analysis approach using existing M onte C arlo ( MC ) flood risk framework to compare annualised reductions from control alternatives targeting various recurrence interval events. The is demonstrated by analysing the relative mitigation benefits of proofing in Swannanoa watershed, N orth arolina. Using framework, 54 design flows are sampled flow distribution and used drive a graphics card based two‐dimensional model. computed depths create damage frequency...
The vulnerability of US offshore wind energy to tropical cyclones is a pressing concern, particularly along the Atlantic and Gulf Coasts, key areas for development. Assessing impact projected climate change on cyclones, consequently resources, thus critical effective risk management. Herein, we investigate evolving turbines posed by in non-stationary using synthetic cyclone model. Integrated with model simulations, projections show widespread increases exposure, historical 20-year storms...
This study introduces an approach using Modern Portfolio Theory (MPT) to consider hydraulic resilience and economic consequence of a water distribution system (WDS) identify critical assets. ECLIPS (Economic Consequence Linked Interruption in Providing Service), way represent loss provision as loss, is used measure following reduction WDS functionality. The demonstrated hypothetical tested for pipe breakage replacement scenarios EPANET simulations. First, the correlation between was...
Multi-temporal and spatially explicit population data are vital in many fields, such as demography, urban planning, disaster prevention,economics, environmental modeling. Population used these studies typically aggregated at census enumeration units, which too coarse for applications. Accurate downscaling methods needed to obtain finer spatial resolutions. We use a novel settlement-related database, Built-Up Property Records (BUPR) from the Historical Settlement Data Compilation United...