A5040539090- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Climate variability and models
- Water resources management and optimization
- Hydrological Forecasting Using AI
- Balance, Gait, and Falls Prevention
- Diverticular Disease and Complications
- Diabetic Foot Ulcer Assessment and Management
- Corneal surgery and disorders
- Intraperitoneal and Appendiceal Malignancies
- Water-Energy-Food Nexus Studies
- Appendicitis Diagnosis and Management
Tufts University
2021-2024
Cornell University
2023
Abstract Deterministic watershed models (DWMs) are used in nearly all hydrologic planning, design, and management activities, yet they cannot generate streamflow ensembles needed for risk (HRM). The stochastic component of DWMs is often ignored practice, leading to a systematic bias extreme events. Since traditional HRM struggle account anthropogenic change, there need convert into (SWMs) use HRM. A DWM can be converted an SWM using post‐processing (pp) approach add error the predictions....
Abstract Stochastic Watershed Models (SWMs) are emerging tools in hydrologic modeling used to propagate uncertainty into model predictions by adding samples of error deterministic simulations. One the most promising uses SWMs is propagation for simulations under climate change. However, a core challenge that historical predictive may not correctly characterize distribution future climate. For example, frequency physical processes (e.g., snow accumulation and melt) change change, so too...
Abstract There is significant uncertainty in how global water supply will evolve the future, due to uncertain climate, socioeconomic, and land use change drivers variability of hydrologic processes. It critical characterize potential impacts future given its importance for food energy production. In this work, we introduce a framework that integrates stochastic hydrology human-environmental systems multisector impacts. We develop watershed model demonstrate can generate large ensemble...
Roughly 1/3 of adults older than 65 fall each year, resulting in more 3 million emergency room visits, thousands deaths, and over $50 Billion direct costs. The Centers for Disease Control Prevention (CDC) estimate that falls are preventable with effective mitigation strategies, particularly imbalance. Therefore, quantification imbalance is being studied extensively recent years. In this study we investigate the feasibility plantar pressure mapping balance assessment through a healthy human...
First posted March 19, 2024 For additional information, contact: Director, New England Water Science CenterU.S. Geological Survey10 Bearfoot RoadNorthborough, MA 01532 Communities throughout Massachusetts face the potential effects of climate change, ranging from more extreme rainfall to pronounced and frequent droughts. Understanding change on hydrology is important State community officials evaluate infrastructure water systems. To better understand hydrology, U.S. Survey, in partnership...
Water resources planning and management requires the estimation of extreme design events. Anticipated climate change is playing an increasingly prominent role in long-lived infrastructure, as changes to forcings are expected alter distribution extremes ways extents that difficult predict. One approach use projections force hydrologic models, but this raises two challenges. First, global models generally focus on much larger scales than relevant design, regional better capture small scale...
<p>There is an increasing need to develop stochastic watershed models using post-processing methods generate streamflow ensembles from deterministic (DWMs).  Stochastic are needed for a wide variety of water resource planning applications relating both short-term forecasting and long-range simulation. Current often involve ordinary, differenced residuals defined as the difference between simulations (S) observations (O). However, daily sub-daily DWMs exhibit high...
Stochastic Watershed Models (SWMs) are emerging tools in hydrologic modeling used to propagate uncertainty into model predictions by adding samples of error deterministic simulations. One the most promising uses SWMs is propagation for simulations under climate change. However, a core challenge with this approach that predictive inferred from errors historical record may not correctly characterize distribution future climate. For example, frequency physical processes (e.g., snow accumulation...
Water resources planning and management requires the estimation of extreme design events. Anticipated climate change is playing an increasingly prominent role in long-lived infrastructure, as changes to forcing are expected alter distribution extremes ways extents that difficult predict. One approach use projects force hydrologic models, but this raises two challenges. First, global models general focus on much larger scales than relevant design, regional better capture small scale dynamics...