A5085701082- Flood Risk Assessment and Management
- Tropical and Extratropical Cyclones Research
- Coastal and Marine Dynamics
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Climate variability and models
- Disaster Management and Resilience
- Coastal wetland ecosystem dynamics
- Geophysics and Gravity Measurements
- Water-Energy-Food Nexus Studies
- Hydraulic flow and structures
- Hydrological Forecasting Using AI
- Ocean Waves and Remote Sensing
- Dam Engineering and Safety
- Climate change impacts on agriculture
- Water resources management and optimization
- Oceanographic and Atmospheric Processes
- Soil and Unsaturated Flow
- Fire effects on ecosystems
- Landslides and related hazards
- Coastal and Marine Management
- Agricultural risk and resilience
- Precipitation Measurement and Analysis
- demographic modeling and climate adaptation
University of Alabama
2018-2025
Tufts University
2025
Charlottesville Medical Research
2023
City University of New York
2023
Duke University
2023
Florida International University
2023
Indian Institute of Technology Kharagpur
2023
New York City College of Technology
2023
Sydney Water
2022
UNSW Sydney
2022
Climate extremes threaten human health, economic stability, and the well-being of natural built environments (e.g., 2003 European heat wave). As world continues to warm, climate hazards are expected increase in frequency intensity. The impacts extreme events will also be more severe due increased exposure (growing population development) vulnerability (aging infrastructure) settlements. models attribute part projected increases intensity disasters anthropogenic emissions changes land use...
Sea level rise (SLR), a well-documented and urgent aspect of anthropogenic global warming, threatens population assets located in low-lying coastal regions all around the world. Common flood hazard assessment practices typically account for one driver at time (e.g., either fluvial flooding only or ocean only), whereas cities vulnerable to SLR are risk from multiple drivers extreme high tide, storm surge, river flow). Here, we propose bivariate approach that accounts compound flow water...
Abstract Traditional, mainstream definitions of drought describe it as deficit in water‐related variables or water‐dependent activities (e.g., precipitation, soil moisture, surface and groundwater storage, irrigation) due to natural variabilities that are out the control local decision‐makers. Here, we argue within coupled human‐water systems, must be defined understood a process opposed product help better frame complex interrelated dynamics both human‐induced changes define anthropogenic...
Abstract Compound extremes correspond to events with multiple concurrent or consecutive drivers (e.g., ocean and fluvial flooding, drought, heat waves) leading substantial impacts such as infrastructure failure. In many risk assessment design applications, however, multihazard scenarios of compound are ignored. this paper, we review the existing multivariate hazard scenario concepts introduce a novel copula‐based weighted average threshold for an expected event drivers. The model can be used...
Abstract The cumulative cost of frequent events (e.g., nuisance floods) over time may exceed the costs extreme but infrequent for which societies typically prepare. Here we analyze likelihood exceedances above mean higher high water and corresponding property value exposure minor, major, coastal floods. Our results suggest that, in response to sea level rise, flooding (NF) could generate comparable to, or larger than, events. Determining whether (and when) low cost, incidents aggregate into...
Abstract Mean sea level has risen tenfold in recent decades compared to the most millennia, posing a serious threat for population and assets flood‐prone coastal zones over next century. An increase frequency of nuisance (minor) flooding also been reported due reduced gap between high tidal datums flood stage, rate rise (SLR) is expected based on current trajectories anthropogenic activities greenhouse gases emissions. Nuisance (NF), however nondestructive, causes public inconvenience,...
Abstract Nuisance flooding (NF) refers to low levels of inundation that do not pose significant threats public safety or cause major property damage, but can disrupt routine day‐to‐day activities, put added strain on infrastructure systems such as roadways and sewers, minor damage. NF has received some attention in the context low‐lying coastal cities exposed increasingly higher high tides, a consequence sea level rise, which exceeds heights topography. However, are widespread deserve...
Abstract Over the past decades, scientific community has made significant efforts to simulate flooding conditions using a variety of complex physically based models. Despite all advances, these models still fall short in accuracy and reliability are often considered computationally intensive be fully operational. This could attributed insufficient comprehension causative mechanisms flood processes, assumptions model development inadequate consideration uncertainties. We suggest adopting an...
Flooding is one of the most frequent and disastrous natural hazards triggered by extreme precipitation, high river runoff, hurricane storm surges, compounding effects various flood drivers. This study introduces a new multisource remote sensing approach that leverages both multispectral optical imagery weather- illumination-independent characteristics synthetic aperture radar (SAR) data to streamline, automate, map geographically reliable inundation extents. Utilizing near real-time cloud...
This study explores a general framework for quantifying anthropogenic influences on groundwater budget based normalized human outflow (hout) and inflow (hin). The is useful sustainability assessment of systems allows investigating the effects different water abstraction scenarios overall aquifer regime (e.g., depleted, natural flow-dominated, flow-dominated). We apply this approach to selected regions in USA, Germany Iran evaluate current regime. subsequently present two changes withdrawals...
The rapid shrinkage of Lake Urmia, one the world's largest saline lakes located in northwestern Iran, is a tragic wake-up call to revisit principles water resources management based on socio-economic and environmental dimensions sustainable development. overarching goal this paper set framework for deriving dynamic, climate-informed inflows drying considering both meteorological/climatic anthropogenic conditions. We report compounding effects meteorological drought unsustainable resource...
Abstract Compound flooding frequently threatens life and assets of people who live in low‐lying coastal regions. Co‐occurrence or sequence extremes (e.g., high river discharge extreme water level) is paramount importance as it may result flood hazards with potential impacts larger than each isolation. Here, we use a coupled approach, that is, bivariate statistical analysis linked to hydrodynamic modeling, quantify compounding effects drivers generate hazard maps near Savannah, Georgia. Also,...
Existing needs to manage flood risk in the United States are underserved by available hazard information. This contributes an alarming escalation of impacts amounting hundreds billions dollars per year and countless disrupted lives affected communities. Making information about hazards useful for range decisions that dictate consequences flooding poses many challenges. Here, we describe collaborative modeling, whereby researchers end-users at two coastal sites co-develop fine-resolution...
Abstract Design of coastal defense structures like seawalls and breakwaters can no longer be based on stationarity assumption. In many parts the world, an anticipated sea‐level rise (SLR) due to climate change will constitute present‐day extreme sea levels inappropriate for future flood risk assessments since it significantly increase their probability occurrence. Here, we first show that global annual maxima (AMSLs) have been increasing in magnitude over last decades, primarily a positive...
Abstract Extreme sea levels impact coastal society, property, and the environment. Various mitigation measures are engineered to reduce these impacts, which require extreme event probabilities typically estimated site-by-site. The site-by-site estimates usually have high uncertainty, conditionally independent, do not provide for ungauged locations. In contrast, max-stable process explicitly incorporates spatial dependence structure produces more realistic surfaces. We leverage compute at...
Abstract Sea‐level rise (SLR) increasingly threatens coastal communities around the world. However, not all are equally threatened, and realistic estimation of hazard is difficult. Understanding SLR impacts on extreme sea level challenging due to interactions between multiple tidal non‐tidal flood drivers. We here use global hourly data show how why tides surges interact with mean (MSL) fluctuations. At most locations world, amplitude at least one constituent and/or residual have changed in...
Abstract. Compound flood (CF) modeling enables the simulation of nonlinear water level dynamics in which concurrent or successive drivers synergize, producing larger impacts than those from individual drivers. However, CF is subject to four main sources uncertainty: (i) initial condition, (ii) forcing (or boundary) conditions, (iii) model parameters, and (iv) structure. These uncertainty, if not quantified effectively reduced, cascade series throughout chain compromise accuracy hazard...