Search Results - "Arhonditsis, G B"

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  1. 1

    Exploring ecological patterns with structural equation modeling and Bayesian analysis by Arhonditsis, G.B., Stow, C.A., Steinberg, L.J., Kenney, M.A., Lathrop, R.C., McBride, S.J., Reckhow, K.H.

    Published in Ecological modelling (25-02-2006)
    “…Structural equation modeling is a multivariate statistical method that allows evaluation of a network of relationships between manifest and latent variables…”
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  2. 2

    A Predictive Approach to Nutrient Criteria by Reckhow, K. H, Arhonditsis, G. B, Kenney, M. A, Hauser, L, Tribo, J, Wu, C, Elcock, K. J, Steinberg, L. J, Stow, C. A, McBride, S. J

    Published in Environmental science & technology (01-05-2005)
    “…Violation of a water quality standard triggers the need for a total maximum daily load (TMDL); this should result in actions that improve water quality, but…”
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  3. 3

    Application of Bayesian structural equation modeling for examining phytoplankton dynamics in the Neuse River Estuary (North Carolina, USA) by Arhonditsis, G.B., Paerl, H.W., Valdes-Weaver, L.M., Stow, C.A., Steinberg, L.J., Reckhow, K.H.

    Published in Estuarine, coastal and shelf science (01-03-2007)
    “…We introduce a Bayesian structural equation modeling framework to explore the spatiotemporal phytoplankton community patterns in the Neuse River Estuary (study…”
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  5. 5

    Technical note: Bayesian calibration of dynamic ruminant nutrition models by Reed, K F, Arhonditsis, G B, France, J, Kebreab, E

    Published in Journal of dairy science (01-08-2016)
    “…Mechanistic models of ruminant digestion and metabolism have advanced our understanding of the processes underlying ruminant animal physiology. Deterministic…”
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  6. 6

    Evaluation of the current state of mechanistic aquatic biogeochemical modeling by Arhonditsis, George B., Brett, Michael T.

    “…The need for predictive process-oriented planktonic ecosystem models is widely recognized by the aquatic science community. We conducted a meta-analysis of…”
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  7. 7

    Patterns and mechanisms of phytoplankton variability in Lake Washington (USA) by Arhonditsis, George B., Winder, Monika, Brett, Michael T., Schindler, Daniel E.

    Published in Water research (Oxford) (01-11-2004)
    “…Temporal variability in lake phytoplankton is controlled largely by a complex interplay between hydrodynamic and chemical factors, and food web interactions…”
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  8. 8

    Examination of the uncertainty in contaminant fate and transport modeling: A case study in the Venice Lagoon by Sommerfreund, J., Arhonditsis, G.B., Diamond, M.L., Frignani, M., Capodaglio, G., Gerino, M., Bellucci, L., Giuliani, S., Mugnai, C.

    Published in Ecotoxicology and environmental safety (01-03-2010)
    “…A Monte Carlo analysis is used to quantify environmental parametric uncertainty in a multi-segment, multi-chemical model of the Venice Lagoon. Scientific…”
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  9. 9

    Multiple regression models: A methodology for evaluating trihalomethane concentrations in drinking water from raw water characteristics by Golfinopoulos, Spyros K., Arhonditsis, George B.

    Published in Chemosphere (Oxford) (01-06-2002)
    “…The presence of trihalomethanes (THMs) in drinking water has attracted the attention of both researchers and professionals, because of the harmful effects of…”
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  10. 10

    Effects of Climatic Variability on the Thermal Properties of Lake Washington by Arhonditsis, George B., Brett, Michael T., DeGasperi, Curtis L., Schindler, Daniel E.

    Published in Limnology and oceanography (01-01-2004)
    “…We conducted a statistical analysis of a long-term (1964-1998) record of intra- and interannual temperature fluctuations in Lake Washington, Washington. Lake…”
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  11. 11

    Factors affecting the formation of organic by-products during water chlorination: A bench-scale study by NIKOLAOU, Anastasia D, GOLFINOPOULOS, Spyros K, LEKKAS, Themistokles D, ARHONDITSIS, George B

    Published in Water, air, and soil pollution (01-11-2004)
    “…The formation of chlorination by-products (CBPs) was investigated through bench-scale chlorination experiments with river water. The compounds selected for…”
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  12. 12

    Aquatic ecosystem dynamics following petroleum hydrocarbon perturbations: A review of the current state of knowledge by Perhar, G., Arhonditsis, G.B.

    Published in Journal of Great Lakes research (2014)
    “…Petroleum hydrocarbon spills in aquatic environments are among the worst ecological disasters resultant of global trade and commerce. History has shown that…”
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  13. 13

    Quantitative assessment of trihalomethane formation using simulations of reaction kinetics by Golfinopoulos, Spyros K, Arhonditsis, George B

    Published in Water research (Oxford) (01-06-2002)
    “…A modelling procedure with a time discretisation of 1 min is developed in order to study and simulate the kinetics of formation of total trihalomethanes (TTHM)…”
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  14. 14

    effects of seston lipids on zooplankton fatty acid composition in Lake Washington, Washington, USA by Ravet, Joseph L., Brett, Michael T., Arhonditsis, George B.

    Published in Ecology (Durham) (2010)
    “…We collected suspended particulate matter (seston) and zooplankton samples from Lake Washington in Seattle, Washington, USA, over a 10‐month period to…”
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  15. 15

    Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management by Arhonditsis, George B., Papantou, Dimitra, Zhang, Weitao, Perhar, Gurbir, Massos, Evangelia, Shi, Molu

    Published in Journal of marine systems (01-09-2008)
    “…Aquatic biogeochemical models have been an indispensable tool for addressing pressing environmental issues, e.g., understanding oceanic response to climate…”
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  16. 16

    Eutrophication risk assessment using Bayesian calibration of process-based models: Application to a mesotrophic lake by Arhonditsis, George B., Qian, Song S., Stow, Craig A., Lamon, E. Conrad, Reckhow, Kenneth H.

    Published in Ecological modelling (10-11-2007)
    “…We introduce the Bayesian calibration of process-based models to address the urgent need for robust modeling tools that can effectively support environmental…”
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  17. 17

    A Bayesian hierarchical framework for calibrating aquatic biogeochemical models by Zhang, Weitao, Arhonditsis, George B.

    Published in Ecological modelling (24-09-2009)
    “…Model practitioners increasingly place emphasis on rigorous quantitative error analysis in aquatic biogeochemical models and the existing initiatives range…”
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  18. 18

    Probability of Tornado Occurrence across Canada by Cheng, Vincent Y. S., Arhonditsis, George B., Sills, David M. L., Auld, Heather, Shephard, Mark W., Gough, William A., Klaassen, Joan

    Published in Journal of climate (01-12-2013)
    “…The number of tornado observations in Canada is believed to be significantly lower than the actual occurrences. To account for this bias, the authors propose a…”
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  19. 19

    Plankton community patterns across a trophic gradient: The role of zooplankton functional groups by Zhao, Jingyang, Ramin, Maryam, Cheng, Vincent, Arhonditsis, George B.

    Published in Ecological modelling (24-05-2008)
    “…We use a complex aquatic biogeochemical model to examine competition patterns and structural shifts in plankton communities under nutrient enrichment…”
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  20. 20

    Structural changes in lake functioning induced from nutrient loading and climate variability by Law, Tony, Zhang, Weitao, Zhao, Jingyang, Arhonditsis, George B.

    Published in Ecological modelling (10-04-2009)
    “…Climate variability is increasingly recognized as an important regulatory factor, capable of influencing the structural properties of aquatic ecosystems. Lakes…”
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