Chapter
Feb 24, 2022
Chapter 8

Model Calibration and Validation

Publication: Total Maximum Daily Load Development and Implementation: Models, Methods, and Resources

Abstract

This chapter presents the state-of-the-art in model calibration and validation approaches found in the literature as guidance for applications of models in total maximum daily load (TMDL) studies. It also presents data and sources of the data including maintained databases as required in TMDL modeling, followed by data management resources, calibration guidelines including manual and auto-calibration lists of hydrologic and water quality parameters needing calibration in the watershed models, and model performance testing criteria or protocols. The primary models used in TMDL studies are the watershed models simulating hydrologic, hydraulic, and water quality processes, and receiving waterbody models simulating hydrodynamic and water quality processes. The calibration of a model is generally based on a combination of qualitative and quantitative assessments of relative model performance. Manual calibration is widely used in the practice and is especially useful if model run times are prolonged. Pre-calibration checks are strongly recommended to identify primary goals.

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Acknowledgments

Reviews, edits, and comments provided by Steven C. McCutcheon, Deva K. Borah, and G. Padmanabhan in this chapter are greatly appreciated.

Disclaimer

This document was not reviewed by the USEPA. The views expressed in this article are those of the authors and do not necessarily represent the views or the policies of USEPA.

References

Abbaspour, K. C. 2015. SWAT-CUP: SWAT calibration and uncertainty programs—A user manual. Dübendorf, Switzerland: Eawag Swiss Federal Institute of Aquatic Science and Technology.
Ahmadisharaf, E., and B. L. Benham. 2020. “Risk-based decision making to evaluate pollutant reduction scenarios.” Sci. Total Environ. 702: 135022.
Ahmadisharaf, E., R. A. Camacho, H. X. Zhang, M. Hantush, and M. M. Yusuf. 2019. “Calibration and validation of watershed models and advances in uncertainty analysis in TMDL studies.” J. Hydrol. Eng. 24 (7): 03119001.
Aitkin, A. S. 1973. “Assessing systematic errors in rainfall-runoff models.” J. Hydrol. 20 (2): 121–136.
Alamdari, N., D. J. Sample, P. Steinberg, A. C. Ross, and Z. M. Easton. 2017. “Assessing the effects of climate change on water quantity and quality in an urban watershed using a calibrated stormwater model.” Water 9 (7): 464.
Allen, J. I., P. J. Somerfield, and F. J. Gilbert. 2007. “Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models.” Journal of Marine Systems 64(1-4), 3–14.
Ambrose, R. B., T. A. Wool, and J. L. Martin. 1993. The water quality analysis simulation program, WASP5, Part A: Model documentation. EPA Center for Exposure Assessment Modeling. Athens, GA: USEPA.
Aquatic Informatics. 2017. AQUARIUS WebPortal version 2017.1 user manual. Vancouver, BC, Canada: Aquatic Informatics.
Arnold, J. G., D. N. Moriasi, P. W. Gassman, K. C. Abbaspour, M. J. White, R. Srinivasan et al. 2012. “SWAT: Model use, calibration, and validation.” Trans. ASABE 55 (4): 1491–1508.
ASCE. 2017. Total maximum daily load analysis and modeling: Assessment of the practice. Prepared by TMDL Analysis and Modeling Task Committee of the Environmental and Water Resources Institute of ASCE. Reston, VA: ASCE.
Baffaut, C., and A. Sadeghi. 2010. “Bacteria modeling with SWAT for assessment and remediation studies: A review.” Trans. ASABE 53 (5): 1585–1594.
Beasley, D. B., L. F. Huggins, and E. J. Monke. 1980. “ANSWERS: A model for watershed planning.” Trans. ASAE 23 (4): 938–944.
Bicknell, B., J. Imhoff, J. Kittle Jr, T. Jobes, and A. Donigian Jr. 2005. Hydrological simulation program: Fortran (HSPF) user's manual for release 12.2. Athens, GA: USEPA.
Bingner, R., and F. Theurer. 2001. AnnAGNPS technical processes: Documentation version 3. Oxford, MS: Agricultural Research Service, US Dept. of Agriculture.
Borah, D. K., E. Ahmadisharaf, G. Padmanabhan, S. Imen, and M. M. Yusuf. 2019. “Watershed models for development and implementation of total maximum daily loads.” J. Hydrol. Eng. 24 (1): 03118001.
Borah, D. K., R. Xia, and M. Bera. 2002. “DWSM—A dynamic watershed simulation model.” In Mathematical models of small watershed hydrology and applications, edited by V. P. Singh and D. K. Frevert, 113–166. Highlands Ranch, CO: Water Resources Publications.
Bouraoui, F. 1994. “Development of a continuous, physically-based, distributed parameter, nonpoint source model.” Ph.D. thesis, Virginia Tech, Dept. of Civil and Environmental Engineering.
Bowie, G. L., W. B. Mills, D. B. Porcella, C. L. Campbell, J. R. Pagenkopf, G. L. Rupp et al. 1985. Rates, constants, and kinetics formulations in surface water quality modeling. 2nd ed. EPA/600/3-85/040. Athens, GA: Environmental Research Laboratory, Office of Research and Development, USEPA.
Camacho, R. A., J. L. Martin, J. Diaz, W. H. McAnally, H. Rodriguez, P. Suscy, and S. Zhang. 2014. “Uncertainty analysis of estuarine hydrodynamic models: An evaluation of input data uncertainty in the Weeks Bay estuary, Alabama.” Appl. Ocean Res. 47: 138–153.
Chahor, Y., J. Casalí, R. Giménez, R. L. Bingner, M. A. Campo, and M. Goñi. 2014. “Evaluation of the AnnAGNPS model for predicting runoff and sediment yield in a small Mediterranean agricultural watershed in Navarre (Spain).” Agric. Water Manage. 134: 24–37.
Chapra, S. C. 2003. “Engineering water quality models and TMDLs.” J. Water Resour. Plann. Manage. 129 (4): 247–256.
Chen, C. W., J. Herr, and L. Ziemelis. 1998. Watershed analysis risk management framework—A decision support system for watershed approach and TMDL calculation. Palo Alto, CA: Electric Power Research Institute.
Cho, K. H., Y. Pachepsky, J. H. Kim, A. Guber, D. Shelton, and R. Rowland. 2010. “Release of Escherichia coli from the bottom sediment in a first-order creek: Experiment and reach-specific modeling.” J. Hydrol. 391 (3–4): 322–332.
Clough, J. S. 2018. AQUATOX (Release 3.2) Modeling environmental fate and ecological effects in aquatic systems. Vol. 1: User's manual. Rep. No. EPA/600/B-18/233. Washington, DC: Office of Research and Development, USEPA.
Coffey, R., Dorai-Raj, S., O'Flaherty, V., Cormican, M., Cummins, E., 2013. “Modeling of pathogen indicator organisms in a small-scale agricultural catchment using SWAT.” Hum. Ecological Risk Assessment: Int. J. 19, 232–253.
Criss, R. E., and W. E. Winston. 2008. “Do Nash values have value? Discussion and alternate proposals.” Hydrol. Processes Int. J. 22 (14): 2723–2725.
Daggupati, P., N. Pai, S. Ale, K. R. Douglas-Mankin, R. W. Zeckoski, J. Jeong et al. 2015. “A recommended calibration and validation strategy for hydrologic and water quality models.” Trans. ASABE 58 (6): 1705–1719.
DHI (Danish Hydraulic Institute). 2017a. MIKE SHE. Vol. 2: Reference guide. Hørsholm, Denmark: DHI.
DHI. 2017b. MIKE SHE. Vol. 1: User guide. Hørsholm, Denmark: DHI.
Donigian, A. 2002. “Watershed model calibration and validation: The HSPF experience.” In Proc., Water Environ. Fed. 2002 (8): 44–73.
Dorner, S. M., W. B. Anderson, R. M. Slawson, N. Kouwen, and P. M. Huck. 2006. “Hydrologic modeling of pathogen fate and transport.” Environ. Sci. Technol. 40 (15): 4746–4753.
Downer, C. W., and F. L. Ogden. 2004. “GSSHA: A model for simulating diverse streamflow generating processes.” J. Hydrol. Eng. 9 (3): 161–174.
Downer, C.W., N. R. Pradhan, F. L. Ogden, and A. R. Byrd. 2014. “Testing the effects of detachment limits and transport capacity formulation on sediment runoff predictions using the US Army Corps of Engineers GSSHA model.” J. Hydrol. Eng. 20 (7): 04014082.
Duan, Q. Y., V. K. Gupta, and S. Sorooshian. 1993. “Shuffled complex evolution approach for effective and efficient global minimization.” J. Optim. Theor. Appl. 76 (3): 501–521.
Duda, P., P. Hummel, A. Donigian Jr, and J. Imhoff. 2012. “BASINS/HSPF: Model use, calibration, and validation.” Trans. ASABE 55 (4): 1523–1547.
Gao, P., D. Borah, and C. Yi. 2015. “Storm event flow and sediment simulations in a Central New York watershed: Model testing and parameter analyses.” Trans. ASABE 85 (5): 1241–1252.
García, A., J. A. Juanes, C. Álvarez, J. A. Revilla, and R. Medina. 2010. “Assesment of the response of a shallow macrotidal estuary to changes in hydrological and wastewater inputs through numerical modelling.” Ecol. Modell. 221 (8): 1194–1208.
Gitau, M. W., and I. Chaubey. 2010. “Regionalization of SWAT model parameters for use in ungauged watersheds.” Water 2 (4): 849–871.
Goodrich, D., I. Burns, C. Unkrich, D. Semmens, D. Guertin, M. Hernandez et al. 2012. “KINEROS2/AGWA: Model use, calibration, and validation.” Trans. ASABE 55 (4): 1561–1574.
Gupta, H. V., and H. Kling. 2011. “On typical range, sensitivity, and normalization of mean squared error and Nash-Sutcliffe efficiency type metrics.” Water Resour. Res. 47: W10601.
Gupta, H. V., H. Kling, K. K. Yilmaz, and G. F. Martinez. 2009. “Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling.” J. Hydrol. 377 (1–2): 80–91.
Hadjimichael, A., D. Gold, D. Hadka, and P. Reed. 2020. “Rhodium: Python library for many-objective robust decision making and exploratory modeling.” J. Open Res. Software 8 (1): 12.
Hadka, D., and P. Reed. 2013. “Borg: An auto-adaptive many-objective evolutionary computing framework.” Evol. Comput. 21 (2): 231–259.
Haith, D. A., R. Mandel, and R. S. Wu. 1992. GWLF, generalized watershed loading functions, version 2.0, user's manual. Ithaca, NY: Cornell University.
Hantush, M. M., and L. Kalin. 2005. “Uncertainty and sensitivity analysis of runoff and sediment yield in a small agricultural watershed with KINEROS2.” Hydrol. Sci. J. 50 (6): 1171.
Harmel, R. D., and P. K. Smith. 2007. “Consideration of measurement uncertainty in the evaluation of goodness-of-fit in hydrologic and water quality modeling.” J. Hydrol. 337 (3): 326–336.
Harmel, R., P. Smith, K. Migliaccio, I. Chaubey, K. Douglas-Mankin, B. Benham et al. 2014. “Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations.” Environ. Modell. Software 57: 40–51.
Hernandez-Suarez, J. S., S. A. Woznicki, and A. P. Nejadhashemi. 2019. “Multi-site watershed model calibration for evaluating best management practice effectiveness in reducing fecal pollution.” Hum. Ecol. Risk Assess. Int. J. 26 (10): 2690–2715.
Herr, J., and C. Chen. 2012. “WARMF: Model use, calibration, and validation.” Trans. ASABE 55 (4): 1387–1394.
Jaber, F., and S. Shukla. 2012. “MIKE SHE: Model use, calibration, and validation.” Trans. ASABE 55 (4): 1479–1489.
Kim, S. M., B. L. Benham, K. M. Brannan, R. W. Zeckoski, and G. R. Yagow. 2007. “Water quality calibration criteria for bacteria TMDL development.” Appl. Eng. Agric. 23 (2): 171–176.
KISTERS. 2013. WISKI hydrological data management software (user manual). Citrus Heights, CA: KISTERS.
KLEMEŠ V. 1986. “Operational testing of hydrological simulation models.” Hydrol. Sci. J. 31 (1): 13–24.
Kling, H., M. Fuchs, and M. Paulin. 2012. “Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios.” J. Hydrol. 424–425: 264–277.
Knoben, W. J., J. E. Freer, and R. A. Woods. 2019. “Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores.” Hydrol. Earth Syst. Sci. 23 (10): 4323–4331.
Krause, P., D. P. Boyle, and F. Base. 2005. “Comparison of different efficiency criteria for hydrological model assessment.” Adv. Geosci. 5: 89–97.
Larabi, S., A. St-Hilaire, F. Chebana, and M. Latraverse. 2018. “Using functional data analysis to calibrate and evaluate hydrological model performance.” J. Hydrol. Eng. 23 (7): 04018026.
Lee, K. Y., T. R. Fisher, T. E. Jordan, D. L. Correll, and D. E. Weller. 2000. “Modeling the hydrochemistry of the Choptank River Basin using GWLF and Arc/Info: 1. Model calibration and validation.” Biogeochemistry 49 (2): 143–173.
Legates, D. R., and G. J. McCabe. 1999. “Evaluating the use of “goodness of fit” measures in hydrologic and hydroclimatic model validation.” Water Resour. Res. 35 (1): 233–241.
Lin, J., L. Xie, L. J. Pietrafesa, J. S. Ramus, and H. W. Paerl. 2007. “Water quality gradients across Albemarle-Pamlico estuarine system: Seasonal variations and model applications.” J. Coastal Res. 231: 213–229.
Lin, J., L. Xie, L. J. Pietrafesa, H. Xu, W. Woods, M. A. Mallin et al. 2008. “Water quality responses to simulated flow and nutrient reductions in the Cape Fear River Estuary and adjacent coastal region, North Carolina.” Ecol. Modell. 212 (3–4): 200–217.
Linsley, R. K., M. A. Kohler, and J. L. H. Paulhus. 1975. Hydrology for engineers. 2nd ed. New York: McGraw-Hill.
Maréchal, D. 2004. “A soil-based approach to rainfall-runoff modelling in ungauged catchments for England and Wales.” PhD Thesis, Cranfield University, UK. 157 pp.
Martin, J. L., and S. C. McCutcheon. 1999. Hydrodynamics and transport for water quality modeling. Boca Raton, FL: CRC Press.
Martinec, J., and A. Rango. 1989. “Merits of statistical criteria for the performance of hydrological models.” J. Am. Water Resour. Assoc. 25 (2): 421–432.
McCutcheon, S. C. 1989. Water quality modeling: Vol. I, river transport and surface exchange. Boca Raton, FL: CRC Press.
McCutcheon, S. C., Z. Donwei, and S. Bird. 1990. Model calibration, validation and use, 5.1–5.77. Manual for Performing Waste Load Allocations, Book III (Estuaries), Part 2, EPA-823-R-92-003. Washington, DC: USEPA.
Mishra, A., E. Ahmadisharaf, B. L. Benham, M. L. Wolfe, S. C. Leman, D. L. Gallagher et al. 2018. “Generalized likelihood uncertainty estimation and Markov chain Monte Carlo simulation to prioritize TMDL pollutant allocations.” J. Hydrol. Eng. 23 (12): 05018025.
Mishra, A., B. R. Bicknell, P. Duda, T. Donigian, and M. H. Gray. 2017. “HSPEXP+: An enhanced expert system for HSPF model calibration—A case study of the Snake River Watershed in Minnesota.” J. Water Manage. Model. 25: C422.
Moriasi, D., J. Arnold, M. Van Liew, R. Bingner, R. Harmel, and T. Veith. 2007. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE 50(3), 885–900.
Moriasi, D., M. W. Gitau, N. Pai, and P. Daggupati. 2015. “Hydrologic and water quality models: Performance measures and evaluation criteria.” Trans. ASABE 58 (6): 1763–1785.
Nash, J. E., and J. V. Sutcliffe. 1970. “River flow forecasting through conceptual models. Part I—A discussion of principles.” J. Hydrol. 10 (3): 282–290.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams. 2011. Soil and water assessment tool theoretical documentation version 2009. College Station, TX: Texas Water Resources Institute.
Niazi, M., C. Obropta, R. Miskewitz. 2015. “Pathogen transport and fate modeling in the Upper Salem River Watershed using SWAT model.” J. Environ. Manage. 151, 167–177.
NRCS (National Resources Conservation Services). 1986. Urban hydrology for small watersheds. Conservation Engineering Division, NRCS, Tech. Release 55. Washington, DC: USDA.
Pandey, P. K., M. L. Soupir, M. Haddad, and J. J. Rothwell. 2012. “Assessing the impacts of watershed indexes and precipitation on spatial in-stream E. coli concentrations.” Ecol. Indic. 23: 641–652.
Pak, J., K. Ramos, M. Fleming, W. Scharffenberg, and S. Gibson. 2015. “Sensitivity analysis for sediment transport in the hydrologic modeling system (HEC-HMS).” In Proc., Joint Federal Interagency Conf. April 19–23, 2015, Reno, Nevada. Accessed November 13, 2021. http://www.sedhyd.org/2015/proceedings.
Parajuli, P. B., K. Douglas-Mankin, P. L. Barnes, and C. Rossi. 2009. “Fecal bacteria source characterization and sensitivity analysis of SWAT 2005.” Trans. ASABE 52 (6): 1847–1858.
Park, K., H.-S. Jung, H.-S. Kim, and S.-M. Ahn. 2005. “Three-dimensional hydrodynamic-eutrophication model (HEM-3D): Application to Kwang-Yang Bay, Korea.” Mar. Environ. Res. 60 (2): 171–193.
Park, Y. S., D. H. Kum, Y. H. Jung, J. P. Cho, K. J. Lim, and K. S. Kim. 2014. “Simulation of the best management practice impacts on nonpoint source pollutant reduction in agricultural area using STEPL WEB model.” J. Korean Soc. Agric. Eng. 56 (5): 21–27.
Paul, S., P. Haan, M. Matlock, S. Mukhtar, and S. Pillai. 2004. “Analysis of the HSPF water quality parameter uncertainty in predicting peak in-stream fecal coliform concentrations.” Trans. ASAE 47 (1): 69–78.
Pechlivanidis, I. G., B. M. Jackson, N. R. McIntyre, and H. S. Wheater. 2011. “Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications.” Global NEST J. 13 (3): 193–214.
Perdikaris, J., B. Gharabaghi, and R. Rudra. 2018. “Reference time of concentration estimation for ungauged catchments.” Earth Sci. Res. 7 (2): 58–73.
Pool, S., M. Vis, and J. Seibert. 2018. “Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency.” Hydrol. Sci. J. 63(13-14), 1941–1953.
Pushpalatha, R., C. Perrin, N. Le Moine, and V. Andréassian. 2012. “A review of efficiency criteria suitable for evaluating low-flow simulations.” J. Hydrol. 420–421: 171–182.
Refsgaard, J. C., and H. J. Henriksen. 2004. “Modelling guidelines—Terminology and guiding principles.” Adv. Water Resour. 27 (1): 71–82.
Ritter, A., and R. Muñoz-Carpena. 2013. “Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments.” J. Hydrol. 480: 33–45.
Rossman, L. A. 2015a. Storm water management model reference manual. Vol. I. Cincinnati, OH: National Risk Management Research Laboratory, Office of Research and Development, EPA.
Rossman, L. A. 2015b. Storm water management model user's manual, version 5.1. Cincinnati: National Risk Management Research Laboratory, Office of Research and Development, USEPA.
Rossman, L. A. 2016. Storm water management model reference manual. Vol. III. Cincinnati, OH: National Risk Management Research Laboratory, Office of Research and Development, USEPA.
Saleh, A., and B. Du. 2004. “Evaluation of SWAT and HSPF within BASINS program for the upper North Bosque River watershed in central Texas.” Trans. ASAE 47 (4): 1039–1049.
Santhi, C., J. G. Arnold, J. R. Williams, W. A. Dugas, R. Srinivasan, and L. M. Hauck. 2001. “Validation of the swat model on a large RWER basin with point and nonpoint sources 1.” J. Am. Water Resour. Assoc. 37 (5): 1169–1188.
Schaefli, B., and H. V. Gupta. 2007. “Do Nash values have value?” Hydrol. Processes 21 (15): 2075–2080.
Schnoor, J. L. 1996. Environmental modeling: Fate and transport of pollutants in water, air, and soil. Hoboken, NJ: John Wiley & Sons.
Sharifi, A., L. Kalin, M. M. Hantush, S. Isik, and T. E. Jordan. 2013. “Carbon dynamics and export from flooded wetlands: A modeling approach.” Ecol. Model. 263: 196–210.
Stow, C. A., C. Roessler, M. E. Borsuk, J. D. Bowen, and K. H. Reckhow. 2003. “Comparison of estuarine water quality models for total maximum daily load development in Neuse River Estuary.” J. Water Resour. Plann. Manage. 129 (4): 307–314.
Sutanudjaja, E. H., R. van Beek, N. Wanders, Y. Wada, J. H. C. Bosmans, N. Drost et al. 2018. “PCR-GLOBWB 2: A 5 arcmin global hydrological and water resources model.” Geosci. Model Dev. 11 (6): 2429–2453.
Tedela, N. H., S. C. McCutcheon, T. C. Rasmussen, R. H. Hawkins, W. T. Swank, J. L. Campbell et al. 2011. “Runoff Curve Numbers for 10 small forested watersheds in the mountains of the Eastern United States.” J. Hydrol. Eng. 17 (11): 1188–1198.
Tolson, B. A., and C. A. Shoemaker. 2007. “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration.” Water Resour. Res. 43 (1): W01413.
Towner, J., H. L. Cloke, E. Zsoter, Z. Flamig, J. M. Hoch, J. Bazo et al. 2019. “Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin.” Hydrol. Earth Syst. Sci. 23: 3057–3080.
USACE (United States Army Corps of Engineers). 2010. HEC-DSS add-in excel data exchange for excel 2007–2010. User's manual. Davis, CA: USACE. Institute for Water Resources. Hydrologic Engineering Center.
USACE. 2016. Hydrologic modeling system HEC-HMS: User's manual. Davis, CA: Hydraulic Engineering Cener.
USEPA (United States Environmental Protection Agency). 1991. Guidance for water quality-based decisions: The TMDL process. Washington, DC: USEPA.
USEPA. 2000. BASINS technical note 6: Estimating hydrology and hydraulic parameters for HSPF. Washington, DC: Office of Water.
USEPA. 2002. Guidance for quality assurance project plans for modeling. Washington, DC: USEPA.
USEPA. 2006. BASINS technical note 8: Sediment parameter and calibration guidance for HSPF. Washington, DC: USEPA.
USEPA. 2013. Better assessment science integrating point and nonpoint sources. Washington, DC: USEPA.
Willmott, C. J. 1981. “On the validation of models.” Phys. Geogr. 2 (2): 184–194.
Woolhiser, D. A., R. Smith, and D. C. Goodrich. 1990. KINEROS: A kinematic runoff and erosion model: Documentation and user manual. USDA-ARS-77. Fort Collins, CO: USDA.
Yen, H., S. Park, J. G. Arnold, R. Srinivasan, C. J. Chawanda, R. Wang et al. 2019. “IPEAT+: A built-in optimization and automatic calibration tool of SWAT+.” Water 11 (8): 1681.
Yuan, Y., W. Nie, E. V. Taguas, and S. C. McCutcheon. 2013. “Initial abstraction and curve numbers in semiarid watersheds in southeastern Arizona.” Hydrol. Processes 28 (3): 774–783.

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Go to Total Maximum Daily Load Development and Implementation
Total Maximum Daily Load Development and Implementation: Models, Methods, and Resources
Pages: 215 - 269
Editors: Harry X. Zhang, Ph.D., Nigel W.T. Quinn, Ph.D. https://orcid.org/0000-0003-3333-4763, Deva K. Borah, Ph.D. https://orcid.org/0000-0002-2107-9390, and G. Padmanabhan, Ph.D. https://orcid.org/0000-0002-3209-1379
ISBN (Print): 978-0-7844-1594-8
ISBN (Online): 978-0-7844-8382-4

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