Richard Vogel | Tufts University (original) (raw)
In September 2016, Professor Vogel converted from professor to professor emeritus and research professor in the department of civil and environmental engineering after 33 years on the faculty at Tufts University. He is the former director of the interdisciplinary graduate program in Water: Systems, Science and Society. Professor Vogel’s research experience has covered a broad range of topics relating to: hydrology, water resource engineering, natural hazards and environmental statistics. Most of his research involves the application of statistical and systems approaches to the solution of applied problems in the field of hydrology and water resources engineering. He has advanced the practice and science of hydrology and water resource planning and management by providing statistical foundations for solving problems relating to a range of problems relating to: reservoir operations, water supply, floods, droughts, water quality, watershed modeling, watershed management and environmental statistics. He has also extended and transferred basic innovations in the field of hydrology and water resource engineering to advance the state of practice for the frequency analysis of a range of related natural hazards including earthquakes, landslides, winds, sea levels as well as bird and plant extinctions. In 2020 was elected Distinguished Member of American Society of Civil Engineers “for a lifetime of fundamental contributions to stochastic hydrology and its novel applications” and he received the Ven Te Chow Award from ASCE Environmental and Water Resources Institute for “his extensive contributions in the fields of probabilistic and stochastic methods in hydrology, environmental engineering and water resources.” In 2017 he was elected a Fellow of AGU (see video). In 2017 he was awarded the Maass-White visiting fellowship from the Institute for Water Resources of the U.S. Army Corps of Engineers. In 2009, he was awarded the Julian Hinds award from the American Society of Civil Engineers for his advancement of the practice and science of water resources planning and management. He was the contributing editor for the ASCE Journal of Water Resources Planning and Management for over a decade. He was editor of the American Geophysical Union (AGU) Water Resource Monograph series and editor of the AGU National Report to the IUGG – Contributions in Hydrology.
Phone: 6174121542
Address: richard.vogel@tufts.edu
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Papers by Richard Vogel
AGU Fall Meeting Abstracts, Dec 1, 2017
Water International, 2015
Household interviews were conducted in the Palestinian West Bank to examine the relationship betw... more Household interviews were conducted in the Palestinian West Bank to examine the relationship between price elasticity, water insecurity and domestic water demand. Water insecurity weights were defined and quantified for each household for use in a multivariate regression model. The model demonstrated that (1) a water insecurity variable improves the ability to estimate price elasticity and that (2) increased water insecurity leads to higher levels of household water demand. The findings suggest that policy-makers can influence domestic water demand by addressing the supply constraints that underlie domestic water insecurity.
Watershed Models, 2005
1. INTRODUCTION As watershed models become increasingly sophisticated and useful, there is a need... more 1. INTRODUCTION As watershed models become increasingly sophisticated and useful, there is a need to extend their applicability to locations where they cannot be calibrated or validated. It is only natural that as watershed models, computer technology and hydrometeorologic data sources continue to evolve, there will be an ever increasing need to apply watershed models where streamflow data is unavailable for calibration. Without streamflow data, a watershed model cannot be calibrated or validated, hence regional methods are needed which relate easily measured watershed characteristics to watershed model parameters. The focus of this chapter is on a review of the various approaches which have been taken for estimating watershed model parameters in situations when streamflow data is unavailable for model calibration and validation. In the past decade, there has been a significant increase in research relating to the regional calibration of watershed models to enable their use at ungauged sites. The increased importance of regional methods for estimating watershed model parameters is influenced by and related to the following emerging themes:
EGU General Assembly Conference Abstracts, Apr 1, 2015
AGU Fall Meeting Abstracts, Dec 1, 2015
2015 AGU Fall Meeting, Dec 14, 2015
Water 99: Joint Congress; 25th Hydrology & Water Resources Symposium, 2nd International Conference on Water Resources & Environment Research; Handbook and Proceedings, 1999
L-moment ratio diagrams are increasingly being used in the literature for selecting a probability... more L-moment ratio diagrams are increasingly being used in the literature for selecting a probability distribution function for frequency analysis. Generally two methods are used in the distribution selection process, the sample average and, more recently, a line of best fit through the sample L-moment ratios which is then compared to the theoretical curve of each candidate distribution. Monte Carlo simulations of homogeneous and heterogeneous samples were used to investigate these two selection methods. The sample average performed well in all homogeneous scenarios and poorly in all heterogeneous scenarios. The line of best fit performed poorly in all homogeneous scenarios and with mixed results in the heterogeneous scenarios. Distribution selection, using L-moment ratio diagrams, for homogeneous data is best based on the sample average and not on a line of best fit through the data points. For heterogeneous data, L-moment ratio diagrams are in theory useful for distribution selection only when data are drawn from a single distribution function with evenly mixed parent values of the shape parameter. Under this condition, the line of best fit tends to follow the theoretical curve of the parent distribution function. In practice, however, there are no means of knowing whether real data are drawn as such.
AGU Fall Meeting Abstracts, Dec 1, 2017
Water International, 2015
Household interviews were conducted in the Palestinian West Bank to examine the relationship betw... more Household interviews were conducted in the Palestinian West Bank to examine the relationship between price elasticity, water insecurity and domestic water demand. Water insecurity weights were defined and quantified for each household for use in a multivariate regression model. The model demonstrated that (1) a water insecurity variable improves the ability to estimate price elasticity and that (2) increased water insecurity leads to higher levels of household water demand. The findings suggest that policy-makers can influence domestic water demand by addressing the supply constraints that underlie domestic water insecurity.
Watershed Models, 2005
1. INTRODUCTION As watershed models become increasingly sophisticated and useful, there is a need... more 1. INTRODUCTION As watershed models become increasingly sophisticated and useful, there is a need to extend their applicability to locations where they cannot be calibrated or validated. It is only natural that as watershed models, computer technology and hydrometeorologic data sources continue to evolve, there will be an ever increasing need to apply watershed models where streamflow data is unavailable for calibration. Without streamflow data, a watershed model cannot be calibrated or validated, hence regional methods are needed which relate easily measured watershed characteristics to watershed model parameters. The focus of this chapter is on a review of the various approaches which have been taken for estimating watershed model parameters in situations when streamflow data is unavailable for model calibration and validation. In the past decade, there has been a significant increase in research relating to the regional calibration of watershed models to enable their use at ungauged sites. The increased importance of regional methods for estimating watershed model parameters is influenced by and related to the following emerging themes:
EGU General Assembly Conference Abstracts, Apr 1, 2015
AGU Fall Meeting Abstracts, Dec 1, 2015
2015 AGU Fall Meeting, Dec 14, 2015
Water 99: Joint Congress; 25th Hydrology & Water Resources Symposium, 2nd International Conference on Water Resources & Environment Research; Handbook and Proceedings, 1999
L-moment ratio diagrams are increasingly being used in the literature for selecting a probability... more L-moment ratio diagrams are increasingly being used in the literature for selecting a probability distribution function for frequency analysis. Generally two methods are used in the distribution selection process, the sample average and, more recently, a line of best fit through the sample L-moment ratios which is then compared to the theoretical curve of each candidate distribution. Monte Carlo simulations of homogeneous and heterogeneous samples were used to investigate these two selection methods. The sample average performed well in all homogeneous scenarios and poorly in all heterogeneous scenarios. The line of best fit performed poorly in all homogeneous scenarios and with mixed results in the heterogeneous scenarios. Distribution selection, using L-moment ratio diagrams, for homogeneous data is best based on the sample average and not on a line of best fit through the data points. For heterogeneous data, L-moment ratio diagrams are in theory useful for distribution selection only when data are drawn from a single distribution function with evenly mixed parent values of the shape parameter. Under this condition, the line of best fit tends to follow the theoretical curve of the parent distribution function. In practice, however, there are no means of knowing whether real data are drawn as such.