Competition for freshwater resources is intense as global populations increase. This is evident in the Western United States, where developmental pressures are stressing the already limited water resources, exacerbated by substantial year-to-year (i.e., interannual) variability. My research program is an interdisciplinary effort to address these problems. This entails three interconnected themes – (1) Understanding the causes for spatial and temporal variability of the water cycle; (2) Forecasting and Scenario generation tools for water resource management that incorporate understanding of climatic variability and change, and (3) Evaluating decision strategies (this calls for knowledge of the decision making process of various resource management systems – water resources, agriculture, drinking water etc.).
keywords
Hydrology, Hydroclimatology, Stochsatic Hydrology, Hydrologic projection on seasonal and interdecadal time scales, Indian monsoon climate variability, use of paleo-climate information in hydrologic and climate diagnostics, Functional estimation, weather generators, Water resources management, statistical water quality and demand modeling, incorporating climate variability and change into water quantity and quality modeling and management
CVEN 4899 - Civil Engineering Senior Project Design
Primary Instructor
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Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021
Provides a simulated real world design and construction planning experience where teams integrate across multiple civil engineering sub-disciplines to create a solution that satisfies multiple constraints, including design, client requirements, budget, schedule, technical, regulatory, and societal. Final deliverables include: detailed design drawings, specifications, cost estimate, project schedule, construction plan, oral and written presentation.
CVEN 5454 - Statistical Methods for Natural and Engineered Systems
Primary Instructor
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Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021
Applies traditional and modern probability and statistical methods to environmental, hydrological, climatological and engineering data analysis. Topics include: basic probability, data visualization, fitting univariate and multivariate distributions, Monte Carlo simulations, extreme value distributions, confidence intervals and hypothesis testing, nonparametric density estimators, linear regression, and Bayesian analysis. The data analysis tool, R, is used throughout the course.
CVEN 6393 - Hydrologic Sciences and Water Resources Engineering Seminar
Primary Instructor
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Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021
Provides a broad introduction to a variety of research topics from hydrologic sciences and water resources engineering. Offered as a one-hour weekly seminar by the departmental water faculty, graduate students,and external speakers.
