{"id":21,"date":"2025-03-13T16:17:47","date_gmt":"2025-03-13T16:17:47","guid":{"rendered":"https:\/\/faculty.eng.fau.edu\/hrl\/?page_id=21"},"modified":"2025-08-07T19:29:23","modified_gmt":"2025-08-07T19:29:23","slug":"research","status":"publish","type":"page","link":"https:\/\/faculty.eng.fau.edu\/hrl\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n

_______________<\/em><\/p>\n\n\n\n

Research at HRL is aimed at improving our fundamental understanding of hydrologic systems and processes, their manifestation and evolution in space and time. Methodologies developed in several research studies at HRL have led to unique blend of methods drawn from different disciplines that quantify and qualify complex processes of hydrologic systems, water and environmental systems and address modeling and management issues.  Many studies at HRL also focus on understanding these processes from two different perspectives of ever changing climate and natural rhythms of climate variability. Contributions in research, education and professional  practice through HRL are expected to address multitude of problems plaguing our terrestrial environment. <\/em><\/p>\n\n\n\n

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[Joint probability approach]. Adopted from a research study conducted at HRL.<\/em><\/h6>\n\n\n\n

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Research Interests<\/strong><\/em>: Climate Change  .  Climate Variability  .  Water Resources Systems. Watershed Modeling  .  Hydrologic Modeling . Precipitation Processes  .  Stormwater Modeling and Management .  Monitoring Networks .  Hydrometeorology .  Statistical Hydrology .  Decision Support Systems .  Hydroinformatics .<\/p>\n\n\n

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Extreme precipitation and climate change and variability.<\/strong> Understanding the trends<\/em> precipitation extremes over time and changes in characteristics. Statistical analysis of extremes. Current research is focused on evolving precipitation\/streamflow extremes individually and jointly and influences of coupled oceanic-atmospheric oscillations.<\/em><\/p>\n\n\n

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Development of new deterministic and stochastic spatial and temporal interpolation<\/strong> methods for reconstruction of missing precipitation records. Statistical corrections, optimal methods with selection of control points in space. Several methods are available in RAIN software developed by Dr. T.  Current research is focused on development of proximity metric-based methods.<\/em><\/p>\n\n\n

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Development of statistical downscaling of hydro-climatic variables<\/strong> at different temporal and spatial scales. Optimal selection of predictor variables. Current focus is on the improved function approximation methods.<\/em><\/p>\n\n\n

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<\/a>
Climate Variability and Teleconnections: <\/em><\/strong>Spatial and temporal influences<\/em>
of coupled oceanic-atmospheric oscillations on precipitation extremes. Indentification<\/em>
of spatial extent of these influences considering regional hydroclimatology.<\/em><\/p>\n\n\n

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\"r-5\"<\/figure><\/div>\n\n\n


<\/a>Focus is on evaluation of statistical evaluation of extremes\/climate change trends<\/strong>. Development of parametric and nonparametric approaches for assessment of extremes in space and time.<\/em><\/p>\n\n\n

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<\/strong><\/a>Extreme Precipitation and Floods: Evaluation of streamflow extremes<\/strong> under<\/em>
changing climate, climate variability, joint evaluation of precipitation and streamflow extremes.<\/em><\/p>\n\n\n

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\"r-9\"<\/figure><\/div>\n\n\n


<\/a>Radar and Satellite-based Precipitation estimation and analysis<\/strong> using optimal function approximation methods. Bias analysis and corrections.<\/em><\/p>\n\n\n

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<\/a>Climate Change and Future Trends in Hydroclimatic Variables:<\/strong> Variation of essential climatic variables over time, development of indices to quantify the changes, statistical tests to evaluate trends.<\/em><\/p>\n\n\n

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\"r-10\"<\/figure><\/div>\n\n\n


<\/strong><\/a>Watershed Modeling\/Water Quality Fate and Transport Modeling:<\/strong><\/em>
Simulation models for modeling fate and transport of nutrients and pathogens at different<\/em> spatial scales under data poor conditions, optimal reduction in pollutant loads.<\/em><\/p>\n\n\n

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\"r-11\"<\/figure><\/div>\n\n\n


<\/a>Catastrophic Floods: Animation and Visualization.<\/strong> 4-D visualization<\/em>
schemes are developed to evaluating the impacts of extreme floods in urban environments. Research is focused on development of metrics for assessment of flood risk in space and time.<\/em><\/p>\n\n\n

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<\/a>Water Resources\/Environmental Systems Optimization:<\/strong><\/em>
Development of optimization using linear and nonlinear formulation for<\/em>
optimization of water resource systems under environmental, ecosystem and monetary constraints.  Studies include: hydropower systems, Lake operations, irrigation systems,<\/em>
stormwater management systems.<\/em><\/p>\n\n\n

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\"r-14\"<\/figure><\/div>\n\n\n


<\/a>Uncertainty Analyses Approaches in Hydrologic Modeling:<\/strong> Methods for addressing<\/em>
different types of uncertainties in hydrologic\/hydraulic modeling inputs and results.<\/em><\/p>\n\n\n

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<\/a>Environmental and Water: Intelligent\/Knowledge-based Decision Support Systems:<\/strong><\/em> Knowledge-based decision support systems for real-time operation of water resource systems, stream quality evaluation, leachate management and environmental systems.<\/em><\/p>\n\n\n

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<\/a>
<\/a>Spatial analysis and Geographical Information Systems.<\/strong> Spatial interpolation and analysis of evaluation of hydrometeorological parameters, geostatistics, monitoring network design and methods of missing data estimation in space and time.<\/em><\/p>\n\n\n

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\"r-7\"<\/figure><\/div>\n\n\n


<\/a>Hydrologic Design and Water Resources Management under Changing Climate.<\/strong><\/em>
Focus is on sustainable and climate-change sensitive optimal hydrologic design considering uncertainties associated with future precipitation extremes derived from<\/em>
GCM-based models.<\/em><\/p>\n\n\n\n

Hydroanalytics<\/em><\/strong> deals with use of statistical, visualization, computer and data sciences to analyze hydrological and meteorological data in space and time for understanding hidden patterns, variations, anomalies, outliers, trends and all the characteristics of data to develop descriptive and prescriptive models for hydrological processes<\/em><\/p>\n\n\n\n

The icons with graphics are created by Dr. T. and are copyrighted.<\/p>\n\n\n\n

Publications<\/strong><\/p>\n\n\n\n

Books<\/a>
Journal Publications<\/a>
Conference Publications<\/a>
Poster Presentations<\/a>
Oral Presentations<\/a>
Technical Reports<\/a><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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