Joel Ducoste Wu, J., Wan, J., Yu, L., Zhang, M., & Ducoste, J. J. (2021). The effect of activated sludge floc morphology on the measurement of biomass half-saturation coefficient: a 2D CFD biofilm model-based evaluation and experimental verification. Biochemical Engineering Journal. https://doi.org/10.1016/j.bej.2021.107931 Eslamiamirabadi, M., Burton, J. D., Reyes, III, & Ducoste, J. J. (2020). Assessment of alternative herbicides for residential sewer root treatment and their effects on downstream treatment plant nitrification. Journal of Environmental Management, 258, 110058. https://doi.org/10.1016/j.jenvman.2019.110058 Hao, Z., Barlaz, M. A., & Ducoste, J. J. (2020). Finite-Element Modeling of Landfills to Estimate Heat Generation, Transport, and Accumulation. Journal of Geotechnical and Geoenvironmental Engineering. https://doi.org/10.1061/(ASCE)GT.1943-5606.0002403 Wang, L., Hossen, E. H., Aziz, T. N., Ducoste, J. J., & de los Reyes, F. L., III. (2020). Increased loading stress leads to convergence of microbial communities and high methane yields in adapted anaerobic co-digesters. Water Research, 169, 115155. https://doi.org/10.1016/j.watres.2019.115155 Wu, J., Reyes, III, & Ducoste, J. J. (2020). Modeling cell aggregate morphology during aerobic granulation in activated sludge processes reveals the combined effect of substrate and shear. Water Research, 170, 115384. https://doi.org/10.1016/j.watres.2019.115384 Kusum, S. A., Pour-Ghaz, M., & Ducoste, J. J. (2020). Reducing fat, oil, and grease (FOG) deposits formation and adhesion on sewer collection system structures through the use of fly ash replaced cement-based materials. Water Research, 186, 116304. https://doi.org/10.1016/j.watres.2020.116304 Wang, D., Lai, Y.-C., Karam, A. L., Reyes, III, & Ducoste, J. J. (2019). Dynamic Modeling of Microalgae Growth and Lipid Production under Transient Light and Nitrogen Conditions. Environmental Science & Technology, 9(19), 11560–11568. https://doi.org/10.1021/acs.est.9b02908 Koryachko, A., Matthiadis, A., Haque, S., Muhammad, D., Ducoste, J. J., Tuck, J. M., … Williams, C. M. (2019). Dynamic modelling of the iron deficiency modulated transcriptome response in Arabidopsis thaliana roots. In Silico Plants, 1(1). https://doi.org/10.1093/insilicoplants/diz005 Wang, J. P., Matthews, M. L., Naik, P. P., Williams, C. M., Ducoste, J. J., Sederoff, R. R., & Chiang, V. L. (2019). Flux modeling for monolignol biosynthesis. Current Opinion in Biotechnology, 56, 187–192. https://doi.org/10.1016/j.copbio.2018.12.003 Monroe, J. G., Ducoste, J., & Berglund, E. Z. (2019). Genetic Algorithm–Genetic Programming Approach to Identify Hierarchical Models for Ultraviolet Disinfection Reactors. Journal of Environmental Engineering, 145(2), 04018139. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001492 Weaver, J. E., Williams, J. C., Ducoste, J., & Reyes, F. L. (2019). Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2019(143). https://doi.org/10.3791/58963 Lai, Y.-C., Karam, A. L., Sederoff, H. W., Ducoste, J. J., & de los Reyes, F. L. (2019). Relating nitrogen concentration and light intensity to the growth and lipid accumulation of Dunaliella viridis in a photobioreactor. Journal of Applied Phycology, 31(6), 3397–3409. https://doi.org/10.1007/s10811-019-01897-4 Blaney, L., Perlinger, J. A., Bartelt-Hunt, S. L., Kandiah, R., & Ducoste, J. J. (2018). Another Grand Challenge: Diversity in Environmental Engineering. Environmental Engineering Science, 35(6), 568–572. https://doi.org/10.1089/ees.2017.0337 Naik, P., Wang, J. P., Sederoff, R., Chiang, V., Williams, C., & Ducoste, J. J. (2018). Assessing the impact of the 4CL enzyme complex on the robustness of monolignol biosynthesis using metabolic pathway analysis. PLOS ONE, 13(3), e0193896. https://doi.org/10.1371/journal.pone.0193896 Weaver, J. E., Hong, H., Ducoste, J. J., & Reyes, III. (2018). Controlling aerobic biological floc size using Couette-Taylor Bioreactors. Water Research, 147, 177–183. https://doi.org/10.1016/j.watres.2018.09.060 Karam, A. L., Reyes, III, & Ducoste, J. J. (2018). Development of Photochemical Microsensors for Evaluating Photosynthetic Light Dose Distributions in Microalgal Photobioreactors. Environmental Science & Technology, 10(21), 12538–12545. https://doi.org/10.1021/acs.est.8b02056 Wang, J. P., Matthews, M. L., Williams, C. M., Shi, R., Yang, C., Tunlaya-Anukit, S., … Chiang, V. L. (2018). Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis. Nature Communications, 9(1). https://doi.org/10.1038/s41467-018-03863-z Curran, T. P., Broderick, C., & Ducoste, J. (2018). Preliminary tests of sensors to detect sewer network blockages. ASABE 2018 Annual International Meeting. https://doi.org/10.13031/aim.201801691 He, X., de los Reyes, F. L., III, & Ducoste, J. J. (2017). A critical review of fat, oil, and grease (FOG) in sewer collection systems: Challenges and control. Critical Reviews in Environmental Science and Technology, 47(13), 1191–1217. https://doi.org/10.1080/10643389.2017.1382282 Hao, Z. S., Sun, M., Ducoste, J., & Barlaz, M. (2017). A model to describe heat generation and accumulation at municipal solid waste landfills. Geotechnical frontiers 2017: waste containment, barriers, remediation, and sustainable geoengineering, (276), 281–288. https://doi.org/10.1061/9780784480434.030 Hao, Z. S., Malyala, D., Dean, L., & Ducoste, J. (2017). Attenuated total reflectance fourier transform infrared spectroscopy for determination of long chain free fatty acid concentration in oily wastewater using the double wavenumber extrapolation technique. Talanta, 165, 526–532. https://doi.org/10.1016/j.talanta.2017.01.006 Karam, A. L., McMillan, C. C., Lai, Y.-C., de los Reyes, F. L., III, Sederoff, H. W., Grunden, A. M., … Ducoste, J. J. (2017). Construction and Setup of a Bench-scale Algal Photosynthetic Bioreactor with Temperature, Light, and pH Monitoring for Kinetic Growth Tests. Journal of Visualized Experiments, 6(124). https://doi.org/10.3791/55545 Hao, Z., Sun, M., Ducoste, J. J., Benson, C. H., Luettich, S., Castaldi, M. J., & Barlaz, M. A. (2017). Heat Generation and Accumulation in Municipal Solid Waste Landfills. Environmental Science & Technology, 51(21), 12434–12442. https://doi.org/10.1021/acs.est.7b01844 Yousefelahiyeh, R., Dominic, C. C. S., & Ducoste, J. (2017). Modeling fats, oil and grease deposit formation and accumulation in sewer collection systems. Journal of Hydroinformatics, 19(3), 443–455. https://doi.org/10.2166/hydro.2017.016 Sadler, M., Wischer, B., Gordon, J., Wilkerson, C., Tabor, C., Fredericks, D., & Ducoste, J. (2017). Unintended consequences of a local limits revision: One utility's experience with fats, oils, and grease. Water Environment Federation Technical Exhibition and Conference 2017, WEFTEC 2017, 8, 5522–5534. Wang, J. P., Tunlaya-Anukit, S., Shi, R., Yeh, T.-F., Chuang, L., Isik, F., … Chiang, V. L. (2016). A Proteomic-Based Quantitative Analysis of the Relationship Between Monolignol Biosynthetic Protein Abundance and Lignin Content Using TransgenicPopulus trichocarpa. In Recent Advances in Polyphenol Research (Vol. 5, pp. 89–107). https://doi.org/10.1002/9781118883303.ch4 Samstag, R. W., Ducoste, J. J., Griborio, A., Nopens, I., Batstone, D. J., Wicks, J. D., … al. (2016). CFD for wastewater treatment: An overview. Water Science and Technology, 74(3), 549–563. https://doi.org/10.2166/wst.2016.249 Weaver, J. E., Ducoste, J. J., & Reyes, F. L. (2016). Fluid shear variation potentially plays a role in aerobic granular sludge formation. WEFTEC 2016 - 89th Water Environment Federation Annual Technical Exhibition and Conference, 3, 5737–5744. Wicklein, E., Batstone, D. J., Ducoste, J., Laurent, J., Griborio, A., Wicks, J., … al. (2016). Good modelling practice in applying computational fluid dynamics for WWTP modelling. Water Science and Technology, 73(5), 969–982. https://doi.org/10.2166/wst.2015.565 Iasmin, M., Dean, L. O., & Ducoste, J. (2016). Quantifying fat, oil, and grease deposit formation kinetics. Water Research, 88, 786–795. https://doi.org/10.1016/j.watres.2015.11.009 Xiong, J. L., Fu, D. F., Singh, R. P., & Ducoste, J. (2016). Structural characteristics and development of the cake layer in a dynamic membrane bioreactor. Separation and Purification Technology, 167, 88–96. https://doi.org/10.1016/j.seppur.2016.04.040 Blaney, L., Kandiah, R., Ducoste, J., Perlinger, J. A., & Bartelt-Hunt, S. L. (2016). Trends in population and demographics of US environmental engineering students and faculty from 2005 to 2013. Environmental Engineering Science, 33(8), 578–590. https://doi.org/10.1089/ees.2016.0063 Koryachko, A., Matthiadis, A., Muhammad, D., Foret, J., Brady, S. M., Ducoste, J., … Williams, C. (2015). Clustering and differential alignment algorithm: Identification of early stage regulators in the Arabidopsis thaliana iron deficiency response. PLoS One, 10(8). https://doi.org/10.1371/journal.pone.0136591 Koryachko, A., Matthiadis, A., Ducoste, J. J., Tuck, J., Long, T. A., & Williams, C. (2015). Computational approaches to identify regulators of plant stress response using high-throughput gene expression data. Current Plant Biology, 3-4, 20–29. https://doi.org/10.1016/j.cpb.2015.04.001 Ducoste, J., & Alpert, S. M. (2015). Computational fluid dynamics modeling alternatives for UV-initiated advanced oxidation processes. Water Quality Research Journal of Canada, 50(1), 4–20. https://doi.org/10.2166/wqrjc.2014.035 Jenny, R. M., Jasper, M. N., Simmons, O. D., Shatalov, M., & Ducoste, J. (2015). Heuristic optimization of a continuous flow point-of-use UV-LED disinfection reactor using computational fluid dynamics. Water Research, 83, 310–318. https://doi.org/10.1016/j.watres.2015.06.031 Wang, L., Hossen, E. H., Aziz, T. N., Ducoste, J. J., & De Los Reyes, F. L. (2015). How to train your digester - Using step and pulse feeding of grease waste to increase community resistance and methane yield by up to 336%. Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA, 3, 1581–1589. Nopens, I., Torfs, E., Ducoste, J., Vanrolleghem, P. A., & Gernaey, K. V. (2015). Population balance models: a useful complementary modelling framework for future WWTP modelling. Water Science and Technology, 71(2), 159–167. https://doi.org/10.2166/wst.2014.500 Wang, L., Hossen, E. H., Aziz, T. N., Ducoste, J., & Reyes, F. L. (2015). Using 16s metagenomics to determine microbial population shifts associated with a 336% boost in methane yield during anaerobic co-digestion of grease waste. 88th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2015, 8, 6112–6118. Laurent, J., Samstag, R. W., Ducoste, J., Griborio, A., Nopens, I., Batstone, D. J., … Potier, O. (2014). A protocol for the use of computational fluid dynamics as a supportive tool for wastewater treatment plant modelling. Water Science and Technology, 70(10), 1575–1584. https://doi.org/10.2166/wst.2014.425 Wang, J. P., Naik, P. P., Chen, H.-C., Shi, R., Lin, C.-Y., Liu, J., … Chiang, V. L. (2014). Complete Proteomic-Based Enzyme Reaction and Inhibition Kinetics Reveal How Monolignol Biosynthetic Enzyme Families Affect Metabolic Flux and Lignin in Populus trichocarpa. The Plant Cell, 26(3), 894–914. https://doi.org/10.1105/tpc.113.120881 Fu, D. F., Kai, H., Singh, R. P., & Ducoste, J. J. (2014). Enhanced Nitrogen Removal by Rice Husk Amended Dynamic Membrane Bioreactors. Journal of Environmental Engineering, 140(11), 04014035. https://doi.org/10.1061/(asce)ee.1943-7870.0000840 Yousefelahiyeh, Roya, Dominic, Sandeep, C. C., Ducoste, & Joel, J. (2014). FOGISEW: Modeling FOG Deposit Formation in Sewer Collection System. Proceedings of the Water Environment Federation, 2014(4), 1–10. https://doi.org/10.2175/193864714816099365 Iasmin, M., Dean, L. O., Lappi, S. E., & Ducoste, J. (2014). Factors that influence properties of FOG deposits and their formation in sewer collection systems. Water Research, 49, 92–102. https://doi.org/10.1016/j.watres.2013.11.012 Jenny, R. M., Simmons, O. D., Shatalov, M., & Ducoste, J. (2014). Modeling a continuous flow ultraviolet Light Emitting Diode reactor using computational fluid dynamics. Chemical Engineering Science, 116, 524–535. https://doi.org/10.1016/j.ces.2014.05.020 Chen, H.-C., Song, J., Wang, J. P., Lin, Y.-C., Ducoste, J., Shuford, C. M., … Chiang, V. L. (2014). Systems Biology of Lignin Biosynthesis in Populus trichocarpa: Heteromeric 4-Coumaric Acid:Coenzyme A Ligase Protein Complex Formation, Regulation, and Numerical Modeling. The Plant Cell, 26(3), 876–893. https://doi.org/10.1105/tpc.113.119685 Yousefelahiyeh, R., Dominic, C. C. S., & Ducoste, J. (2013). A numerical method to simulate and assess the formation of Fats, Oils & Grease (FOG) deposits in a sewer collection system. 86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013, 8, 5063–5068. Wang, L., Hossen, E. H., Aziz, T. N., Ducoste, J., Bullard, M., & De Los Reyes, F. L. (2013). Developing Resilient Anaerobic Co-digesting Microbial Communities. 86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013, 2, 764–770. He, X., Reyes, F. L., Leming, M. L., Dean, L. O., Lappi, S. E., & Ducoste, J. (2013). Mechanisms of fat, oil and grease (FOG) deposit formation in sewer lines. Water Research, 47(13), 4451–4459. https://doi.org/10.1016/j.watres.2013.05.002 Chen, H. C., Song, J. N., Williams, C. M., Shuford, C. M., Liu, J., Wang, J. P., … Chiang, V. L. (2013). Monolignol pathway 4-coumaric acid: Coenzyme a ligases in Populus trichocarpa: Novel specificity, metabolic regulation, and simulation of coenzyme a ligation fluxes. Plant Physiology, 161(3), 1501–1516. https://doi.org/10.1104/pp.112.210971 Dominic, C. C. S., Szakasits, M., Dean, L. O., & Ducoste, J. (2013). Understanding the spatial formation and accumulation of fats, oils and grease deposits in the sewer collection system. Water Science and Technology, 68(8), 1830–1836. https://doi.org/10.2166/wst.2013.428 Karami, B., De Los Reyes, F. L., & Ducoste, J. J. (2012). Aerobic granulation can be induced by shear variability. WEFTEC 2012 - 85th Annual Technical Exhibition and Conference, 11, 6921–6926. Long, J. H., Aziz, T. N., Reyes, F. L., & Ducoste, J. (2012). Anaerobic co-digestion of fat, oil, and grease (FOG): A review of gas production and process limitations. Process Safety and Environmental Protection, 90(3), 231–245. https://doi.org/10.1016/j.psep.2011.10.001 Wang, L., Aziz, T. N., Ducoste, J., & De Los Reyes, F. L. (2012). Anaerobic co-digestion of grease trap waste. WEFTEC 2012 - 85th Annual Technical Exhibition and Conference, 9, 5428–5434. Aziz, T. N., Holt, L. M., Keener, K. M., Groninger, J. W., & Ducoste, J. (2012). Field Characterization of External Grease Abatement Devices. Water Environment Research, 84(3), 237–246. https://doi.org/10.2175/106143012x13347678384161 Long, J. H., Ducoste, J. J., & Aziz, T. N. (2012). Life cycle assessment of grease trap waste co-digestion, land application, and composting. WEFTEC 2012 - 85th Annual Technical Exhibition and Conference, 9, 5413–5418. Dominic, C. C. S., Szakasits, M., & Ducoste, J. (2012). Understanding the spatial formation and accumulation of fats, oils and grease deposits in the sewer collection system. WEFTEC 2012 - 85th Annual Technical Exhibition and Conference, 13, 7989–7994. Ducoste, J. (2012). Using computational fluid dynamics modeling to help inform assessment of low wavelength inactivation. American Water Works Association Annual Conference and Exposition 2012, ACE 2012, 6437–6451. Gallimore, E., Aziz, T. N., Movahed, Z., & Ducoste, J. (2011). Assessment of Internal and External Grease Interceptor Performance for Removal of Food-Based Fats, Oil, and Grease from Food Service Establishments. Water Environment Research, 83(9), 882–892. https://doi.org/10.2175/106143011X12989211840972 Hubbe, M. A., Hasan, S. H., & Ducoste, J. J. (2011). Cellulosic Substrates for Removal of Pollutants from Aqueous Systems: A Review 1. Metals. Bioresources, 6(2), 2161–2287. He, X., Iasmin, M., Dean, L. O., Lappi, S. E., Ducoste, J., & Reyes, F. L. (2011). Evidence for fat, oil, and grease (fog) deposit formation mechanisms in sewer lines. Environmental Science & Technology, 45(10), 4385–4391. https://doi.org/10.1021/es2001997 Bowker, C., Sain, A., Shatalov, M., & Ducoste, J. (2011). Microbial UV fluence-response assessment using a novel UV-LED collimated beam system. Water Research, 45(5), 2011–2019. https://doi.org/10.1016/j.watres.2010.12.005 Vallabh, R., Ducoste, J., Seyam, A.-F., & Banks-Leel, P. (2011). Modeling tortuosity in thin fibrous porous media using computational fluid dynamics. Journal of Porous Media, 14(9), 791–804. https://doi.org/10.1615/jpormedia.v14.i9.40 Bowker, C., & Ducoste, J. (2011). Numerical and experimental evaluation of UV light emitting diodes for drinking water disinfection. American Water Works Association Annual Conference and Exposition 2011, ACE 2011, 5666–5696. Olukanni, D. O., & Ducoste, J. (2011). Optimization of waste stabilization pond design for developing nations using computational fluid dynamics. Ecological Engineering, 37(11), 1878–1888. https://doi.org/10.1016/j.ecoleng.2011.06.003 Aziz, T. N., Holt, L. M., Keener, K. M., Groninger, J. W., & Ducoste, J. (2011). Performance of grease abatement devices for removal of fat, oil, and grease. Journal of Environmental Engineering (New York, N.Y.), 137(1), 84–92. https://doi.org/10.1061/(asce)ee.1943-7870.0000295 Santoro, D., Raisee, M., Moghaddami, M., Ducoste, J., Sasges, M., Liberti, L., & Notarnicola, M. (2010). Modeling hydroxyl radical distribution and trialkyl phosphates oxidation in UV-H2O2 photoreactors using computational fluid dynamics. Environmental Science & Technology, 44(16), 6233–6241. https://doi.org/10.1021/es1000962 Alpert, S. M., Knappe, D. R. U., & Ducoste, J. (2010). Modeling the UV/hydrogen peroxide advanced oxidation process using computational fluid dynamics. Water Research, 44(6), 1797–1808. https://doi.org/10.1016/j.watres.2009.12.003 Alpert, S. M., & Ducoste, J. J. (2009). A CFD modeling protocol for simulating the UV/H2O2 advanced oxidation process. Water Quality Technology Conference and Exposition 2009, 1795–1816. Zhao, X., Alpert, S. M., & Ducoste, J. (2009). Assessing the impact of upstream hydraulics on the dose distribution of ultraviolet reactors using fluorescence microspheres and computational fluid dynamics. Environmental Engineering Science, 26(5), 947–959. https://doi.org/10.1089/ees.2008.0139 Nopens, I., Briesen, H., & Ducoste, J. (2009). Celebrating a milestone in population balance modeling. Chemical Engineering Science, 64(4), 627–627. https://doi.org/10.1016/j.ces.2009.01.004 Zhao, X., & Ducoste, J. (2008). Analysis of a LPHO UV reactor under multiple upstream elbow configurations using UV sensitive fluorescent microspheres. American Water Works Association - American Water Works Association Association Annual Conference and Exposition, ACE 2008, 179–190. Richards, B., & Ducoste, J. (2008). Application of non-biological surrogates for analysis of sequential disinfection continuous flow systems. Aqua (London, England), 57(4), 225–238. https://doi.org/10.2166/aqua.2008.042 Keener, K. M., Ducoste, J., & Holt, L. M. (2008). Properties influencing fat, oil, and grease deposit formation. Water Environment Research, 80(12), 2241–2246. https://doi.org/10.2175/193864708X267441 Richards, B. H., & Ducoste, J. J. (2007). Evaluating sequential disinfection in continuous flow water treatment systems. American Water Works Association - Water Quality Technology Conference and Exposition 2007: Fast Tracks to Water Quality, 2074–2081. Alpert, S. M., Knappe, D., & Ducoste, J. (2007). Incorporation of micromixing models within CFD simulations describing UV-initiated advanced oxidation processes. American Water Works Association - AWWA Annual Conference and Exposition, ACE 2007, 388–401. Alpert, S. M., & Ducoste, J. J. (2007). Modeling organics degradation with the UV/H2O2 advanced oxidation process using computational fluid dynamics. American Water Works Association - Water Quality Technology Conference and Exposition 2007: Fast Tracks to Water Quality, 3077–3093. Liu, D., Wu, C., Linden, K., & Ducoste, J. (2007). Numerical simulation of UV disinfection reactors: Evaluation of alternative turbulence models. Applied Mathematical Modelling, 31(9), 1753–1769. https://doi.org/10.1016/j.apm.2006.06.004 Prat, O. P., & Ducoste, J. (2007). Simulation of flocculation in stirred vessels - Lagrangian versus Eulerian. Chemical Engineering Research & Design, 85(A2), 207–219. https://doi.org/10.1205/cherd05001 Bohrerova, Z., Mamane, H., Ducoste, J., & Linden, K. G. (2006). Comparative inactivation of Bacillus subtilis spores and MS-2 coliphage in a UV reactor: Implications for validation. Journal of Environmental Engineering (New York, N.Y.), 132(12), 1554–1561. https://doi.org/10.1061/(asce)0733-9372(2006)132:12(1554) Mamane, H., Ducoste, J., & Linden, K. G. (2006). Effect of particles on ultraviolet light penetration in natural and engineered systems. Applied Optics, 45(8), 1844–1856. https://doi.org/10.1364/AO.45.001844 Liu, Y. J., & Ducoste, J. (2006). Impact of turbulent mixing on the performance of a CFD chloramine model. Environmental Engineering Science, 23(2), 341–356. https://doi.org/10.1089/ees.2006.23.341 Prat, O. P., & Ducoste, J. (2006). Modeling spatial distribution of floc size in turbulent processes using the quadrature method of moment and computational fluid dynamics. Chemical Engineering Science, 61(1), 75–86. https://doi.org/10.1016/j.ces.2004.11.070 Liu, Y. J., & Ducoste, J. (2006). Numerical simulation of chloramines formation in turbulent flow using a multi-fluid micromixing model. Environmental Modelling Review & Software: With Environmental Data News, 21(8), 1198–1213. https://doi.org/10.1016/j.envsoft.2005.06.007 Liu, Y., & Ducoste, J. (2006). Numerical simulation of chloramines formation in turbulent flow using a multi-fluid micromixing model. Environmental Modelling and Software, 21(8), 1198–1213. https://doi.org/10.1016/j.chaos.2005.08.200 Ducoste, J., Liu, D., & Linden, K. (2005). Alternative approaches to modeling fluence distribution and microbial inactivation in ultraviolet reactors: Lagrangian versus Eulerian. Journal of Environmental Engineering (New York, N.Y.), 131(10), 1393–1403. https://doi.org/10.1061/(asce)0733-9372(2005)131:10(1393) Ducoste, J., Linden, K., Rokjer, D., & Liu, D. (2005). Assessment of reduction equivalent fluence bias using computational fluid dynamics. Environmental Engineering Science, 22(5), 615–628. https://doi.org/10.1089/ees.2005.22.615 Ducoste, J., & Linden, K. (2005). Determination of ultraviolet sensor location for sensor set-point monitoring using computational fluid dynamics. Journal of Environmental Engineering and Science, 4(SUPPL. 1), S33–43. https://doi.org/10.1139/S04-025 Bohrerova, Z., Bohrer, G., Mohanraj, S. M., Ducoste, J., & Linden, K. G. (2005). Experimental measurements of fluence distribution in a UV reactor using fluorescent microspheres. Environmental Science & Technology, 39(22), 8925–8930. https://doi.org/10.1021/es050034c Bohrerova, Z., Bohrer, G., Linden, K. G., Ducoste, J. J., & Mohan Mohanraj, S. (2005). Experimental measurements of fluence distribution in a UV reactor using fluorescent microspheres. 2005 Water Quality Technology Conference Proceedings, WQTC 2005. Jin, S. S., Linden, K. G., Ducoste, J., & Liu, D. (2005). Impact of lamp shadowing and reflection on the fluence rate distribution in a multiple low-pressure UV lamp array. Water Research, 39(12), 2711–2721. https://doi.org/10.1016/j.watres.2005.04.071 Ormeci, B., Ducoste, J., & Linden, K. G. (2005). UV disinfection of chlorinated water: impact on chlorine concentration and UV dose delivery. Aqua (London, England), 54(3), 189–199. https://doi.org/10.2166/aqua.2005.0018 Baeza, C., & Ducoste, J. (2004). A non-biological surrogate for sequential disinfection processes. Water Research, 38(14-15), 3400–3410. https://doi.org/10.1016/j.watres.2004.04.029 Liu, D., Ducoste, J., Jin, S., & Linden, K. (2004). Evaluation of alternative fluence rate distribution models. Aqua (London, England), 53(6), 391–408. https://doi.org/10.2166/aqua.2004.0031 Peplinski, D. K., & Ducoste, J. J. (2004). Lessons for applying computational fluid dynamics modeling to disinfection clearwells. Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001, 111. https://doi.org/10.1061/40569(2001)22 Ortiz, V., & Ducoste, J. (2004). Modeling low-energy mixers for chemical dispersion in water treatment. Environmental Engineering Science, 21(2), 241–261. https://doi.org/10.1089/109287504773087408 System-wide optimization of wastewater treatment plants using genetic algorithms. (2004). Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001, 111. https://doi.org/10.1061/40569(2001)106 Hopkins, D. C., & Ducoste, J. (2003). Characterizing flocculation under heterogeneous turbulence. Journal of Colloid and Interface Science, 264(1), 184–194. https://doi.org/10.1016/S0021-9797(03)00446-6 Chaiprapat, S., Cheng, J. Y., Classen, J. J., Ducoste, J., & Liehr, S. K. (2003). Modeling nitrogen transport in duckweed pond for secondary treatment of swine wastewater. Journal of Environmental Engineering (New York, N.Y.), 129(8), 731–739. https://doi.org/10.1061/(asce)0733-9372(2003)129:8(731) Ducoste, J. (2002). A two-scale PBM for modeling turbulent flocculation in water treatment processes. Chemical Engineering Science, 57(12), 2157–2168. https://doi.org/10.1016/S0009-2509(02)00108-2 Ducoste, J. J., & Ortiz, V. (2002). Characterization of drinking water treatment chemical mixing performance using CFD. Conference Proceedings - Joint 2002 CSCE/ASCE International Conference on Environmental Engineering - An International Perspective on Environmental Engineering, 427–443. Peplinski, D. K., & Ducoste, J. (2002). Modeling of disinfection contactor hydraulics under uncertainty. Journal of Environmental Engineering (New York, N.Y.), 128(11), 1056–1067. https://doi.org/10.1061/(asce)0733-9372(2002)128:11(1056) Doby, T. A., Loughlin, D. H., De Los Reyes, F. 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