Choosing the right model (structure) for a given purpose, catchment, and data situation is a critical task in the modeling chain. However, despite model intercomparison studies, hypothesis testing approaches with flexible modelling frameworks, and continuous efforts in model development/improvement, there are still no clear guidelines for choosing an optimal model structure. We introduce a framework for Automatic Model Structure Identification (AMSI) based on the combination of the flexible hydrological model Raven and the heuristic global optimization algorithm DDS. It is the first demonstration of mixed-integer optimization algorithms to simultaneously optimize model structure choices (integer decision variables) and parameter values (continuous decision variables) in hydrologic modelling. Thus, AMSI is able to sift through a vast number of combinations for a given model and parameter space in order to …
%B Geophysical Research Abstracts %V 21 %G eng %0 Journal Article %J Canadian Water Resources Journal %D 2019 %T Comparing single and multi-objective hydrologic model calibration considering reservoir inflow and streamflow observations %A Bomhof, J. %A Tolson, B.A. %A Kouwen, N. %B Canadian Water Resources Journal %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067439137&doi=10.1080%2f07011784.2019.1623077&partnerID=40&md5=ce928a2eabec424b267472e5be26ba28 %R 10.1080/07011784.2019.1623077 %0 Journal Article %J AGU Fall Meeting Abstracts %D 2019 %T Discretization strategies for distributed models of mountainous watersheds %A H Liu %A G. Brown %A J. Craig %A B. Tolson %A A. Newman %A A. Wood %XDistributed hydrological models are based on the discretization of spatial information into homogeneous computational units (eg, sub-catchment, grid). Watershed discretization attempts to capture the important spatial variability which controls the hydrological response of a basin, while simultaneously minimizing model complexity. This process may result in a level of information loss relative to the raw data (eg, DEM information) and thus the structure uncertainty of a hydrological model. To justify a discretization scheme, it is important to understand the impacts of the associated information loss.
%B AGU Fall Meeting Abstracts %V 2019 %P H42B-04 %G eng %0 Journal Article %J Journal of Hydrology %D 2019 %T Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset %A Liu, H. %A Thiboult, A. %A Tolson, B. %A Anctil, F. %A Mai, J. %B Journal of Hydrology %V 568 %P 985-996 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057491666&doi=10.1016%2fj.jhydrol.2018.11.047&partnerID=40&md5=c7d6707b957487bc1dc4d0973edd1bf6 %R 10.1016/j.jhydrol.2018.11.047 %0 Journal Article %J Environmental Modelling and Software %D 2019 %T Introductory overview: Optimization using evolutionary algorithms and other metaheuristics %A Maier, H.R. %A Razavi, S. %A Kapelan, Z. %A Matott, L.S. %A Kasprzyk, J. %A Tolson, B.A. %B Environmental Modelling and Software %P 195-213 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061316090&doi=10.1016%2fj.envsoft.2018.11.018&partnerID=40&md5=a600dd34069734f982e5c223f31013b9 %R 10.1016/j.envsoft.2018.11.018 %0 Journal Article %J AGU Fall Meeting Abstracts %D 2019 %T Machine Learning for Streamflow Prediction: Current Status and Future Prospects %A M. Gauch %A R. Tang %A J. Mai %A B. Tolson %A S. Gharari %A J. Lin %XAccurate streamflow prediction is an open challenge in hydrology. We show that approaches based on machine learning can provide more accurate predictions than physically-based models and discuss potential for improvement in hybrid approaches.
%B AGU Fall Meeting Abstracts %V 2019 %P H33L-2127 %G eng %0 Journal Article %J Water Resources Research %D 2019 %T Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results %A Mai, J. %A Tolson, B.A. %B Water Resources Research %V 55 %P 2631-2651 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063767508&doi=10.1029%2f2018WR023382&partnerID=40&md5=ffeff92977886e5c038c2ad16f7bc2be %R 10.1029/2018WR023382 %0 Journal Article %J AGU Fall Meeting Abstracts %D 2019 %T Recoupling the Livestock Nutrient Economy across the Continental US %A N. Basu %A A. Werenka %A K. Meter %A B. Tolson %XIncreased use of nutrients in intensive farming operations has led to higher crop yields and greater food security. At the same time, widespread use of commercial nitrogen (N) and phosphorus (P) fertilizers and large-scale livestock production have led to unintended environmental consequences, including eutrophication of both coastal and inland waters, threats to drinking water, and increased production of N 2 O, a potent greenhouse gas. In the past, crop and livestock production were typically more integrated, allowing most livestock to be fed by local crops, and most livestock manure to be applied directly to nearby cropland. Under current intensive agriculture practices, however, there is frequently a spatial decoupling of crops and livestock, leading to hot spots of manure production and a lack of opportunities for cost-efficient and environmentally sensitive disposal. In recent years, there has also been increased …
%B AGU Fall Meeting Abstracts %P H41F-08 %G eng %0 Journal Article %J AGU Fall Meeting Abstracts %D 2019 %T The runoff model-intercomparison project over Lake Erie and the Great Lakes %A J. Mai %A B. Tolson %A H. Shen %A E. Gaborit %A V. Fortin %A M. Dimitrijevic %A N. Gasset %A D. Durnford %A Y. Shin %A T. Stadnyk %A O. Awoye %A L. Fry %A E. Bradley %A T. Hunter %A A. Gronewall %A J. Smith %A L. Mason %A L. Read %A K. FitzGerald %A K. Sampsn %A A. Hamlet %A F. Seglenieks %A A. Temgoua %A S. Gharari %A S. Razavi %A A. Haghnegahdar %A M. Elshamy %A D. Princz %A A. Pietroniro %A X. Ni %A Y. Yuan %A M. Najafi %A M. Rahimimovaghar %A M. Gauch %A J. Lin %A R. Tang %XThe Great Lakes Runoff Inter-comparison Project (GRIP) includes a wide range of lumped and distributed models that are used operationally and/or for research purposes across Canada and the United States. Participating models are GEM-Hydro, WRF-Hydro, MESH, VIC, WATFLOOD, Noah-MP, HYPE, LBRM, GR4J, and a purely statistical model. As part of the Integrated Modelling Program for Canada (IMPC) under the Global Water Futures (GWF) program, the project is aiming to run all these models over several regions in Canada. We started with the Lake Erie watershed and then extended the study to the whole Great Lakes domain.
%B AGU Fall Meeting Abstracts %V 2019 %P H32E-03 %G eng %0 Journal Article %J Geophysical Research Abstracts %D 2019 %T A sequential assimilation strategy to improve short-and long-term forecasts in a hydropower application. %A J. Mai %A R. Arsenault %A B. Tolson %A M. Latraverse %A K. Demeester %XHydropower producers rely on hydrologic models and reliable forecasts of incoming water volumes to operate power plants and dams efficiently. These models are parameterized and, as such, are mere approximations of the real hydrologic system. Hence, initial states of the model might not always match the current states of the system after more than a few days of open-loop simulations. An analyst therefore usually adjusts model states or input variables such that the model meets the current states of the system. The automatized version of this process is called data assimilation. The short-term impacts of such adjustments are mostly predictable while long-term effects are harder to foresee. The performance of the assimilation is measured by comparing the improvement of forecasts compared to an open-loop simulation where no adjustment is applied. We will present a new strategy to update states of the …
%B Geophysical Research Abstracts %V 21 %G eng %0 Journal Article %J Geophysical Research Abstracts %D 2019 %T Trading off data and parameter uncertainty versus model structure uncertainty: a case study comparing single-model and multi-model ensemble streamflow forecasting. %A B. Tolson %A H. Liu %A A. Thiboult %A F. Anctil %XDeveloping an ensemble hydrologic forecasting is difficult and time consuming work and choices are often required to determine how much effort is worth expending on one aspect versus another. Assuming an ensemble forecasting system uses ensemble weather forecasts, the key decision at hand is what other sources of uncertainty should be reflected in the ensemble forecast. Options include model structural uncertainty, model parameter uncertainty and model calibration period data uncertainty (eg, climate inputs or streamflow measurements). A related decision involves whether or not to utilize a distributed/semi-distributed hydrological model in the forecast system in place of an ensemble of easier to construct lumped parameter hydrologic models. On one hand, using an ensemble of lumped models enables consideration of model structural uncertainty in the forecasts. On the other hand, using a more …
%B Geophysical Research Abstracts %V 21 %G eng %0 Journal Article %J Geophysical Research Abstracts %D 2019 %T Using calibration period ensembles of climate and flow data to optimize the characterization of hydrologic model prediction uncertainty. %A H. Liu %A B. Tolson %XCurrent modelling practice to account for calibration period climate uncertainty or flow measurement uncertainty relies upon relatively simple stochastic measurement error models that are often calibrated in conjunction with hydrologic model parameters. Continued advances in uncertainty-based model calibration to account for data uncertainty, either through formal Bayesian inference, Approximate Bayesian Computation (ABC), or informal approaches like the limits of acceptability approach in GLUE, require that such calibration approaches can be applied using more complex stochastic measurement error models that are developed independent of hydrologic model application. Two such recent examples are 1) the Newman et al.(2015) gridded ensemble historical precipitation and temperature data set for the continental United States and parts of Canada and the 2) the hydraulics-based Bayesian rating curve …
%B Geophysical Research Abstracts %V 21 %G eng %0 Journal Article %J Advances in Water Resources %D 2018 %T Event-based model calibration approaches for selecting representative distributed parameters in semi-urban watersheds %A Awol, F.S. %A Coulibaly, P. %A Tolson, B.A. %B Advances in Water Resources %V 118 %P 12-27 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048227518&doi=10.1016%2fj.advwatres.2018.05.013&partnerID=40&md5=5a9243d48327befc85052a10ad393464 %R 10.1016/j.advwatres.2018.05.013 %0 Journal Article %J Journal of Water Resources Planning and Management %D 2018 %T PADDS algorithm assessment for biobjective water distribution system benchmark design problems %A Jahanpour, M. %A Tolson, B.A. %A Mai, J. %B Journal of Water Resources Planning and Management %V 144 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039991962&doi=10.1061%2f%28ASCE%29WR.1943-5452.0000875&partnerID=40&md5=4fe98f98804b418477207006bdd66085 %R 10.1061/(ASCE)WR.1943-5452.0000875 %0 Journal Article %J IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing %D 2017 %T Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada's MESH Model %A Xu, X. %A Tolson, B.A. %A Li, J. %A Davison, B. %B IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing %V 10 %P 1317-1327 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016762023&doi=10.1109%2fJSTARS.2016.2626256&partnerID=40&md5=caa1ea22e543b3943d254b16446fc66c %R 10.1109/JSTARS.2016.2626256 %0 Journal Article %J IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing %D 2017 %T Comparison of X-Band and L-Band Soil Moisture Retrievals for Land Data Assimilation %A Xu, X. %A Tolson, B.A. %A Li, J. %A Davison, B. %B IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing %V 10 %P 3850-3860 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019875709&doi=10.1109%2fJSTARS.2017.2703988&partnerID=40&md5=23af66779127bdc054067e5f540411fb %R 10.1109/JSTARS.2017.2703988 %0 Journal Article %J Journal of Great Lakes Research %D 2017 %T Great Lakes Runoff Inter-comparison Project, phase 2: Lake Ontario (GRIP-O) %A Gaborit, E. %A Fortin, V. %A Tolson, B. %A Fry, L. %A Hunter, T. %A Gronewold, A.D. %B Journal of Great Lakes Research %V 43 %P 217-227 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007413465&doi=10.1016%2fj.jglr.2016.10.004&partnerID=40&md5=97f8a24965ef2a239d7980b037b7b591 %R 10.1016/j.jglr.2016.10.004 %0 Journal Article %J Hydrology and Earth System Sciences %D 2017 %T A hydrological prediction system based on the SVS land-surface scheme: Efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin %A Gaborit, E. %A Fortin, V. %A Xu, X. %A Seglenieks, F. %A Tolson, B. %A Fry, L.M. %A Hunter, T. %A Anctil, F. %A Gronewold, A.D. %B Hydrology and Earth System Sciences %V 21 %P 4825-4839 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030527453&doi=10.5194%2fhess-21-4825-2017&partnerID=40&md5=f0f377abe51884cab3c58504eeb5be0b %R 10.5194/hess-21-4825-2017 %0 Journal Article %J Journal of Water Resources Planning and Management %D 2016 %T Comparing optimization techniques with an engineering judgment approach to WDN design %A Khedr, A. %A Tolson, B. %B Journal of Water Resources Planning and Management %V 142 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964614624&doi=10.1061%2f%28ASCE%29WR.1943-5452.0000611&partnerID=40&md5=f5f3a0e5f9aa839ee08a19e1b028a936 %R 10.1061/(ASCE)WR.1943-5452.0000611 %0 Journal Article %J Journal of Hydrology %D 2016 %T A priori discretization error metrics for distributed hydrologic modeling applications %A Liu, H. %A Tolson, B.A. %A Craig, J.R. %A Shafii, M. %B Journal of Hydrology %V 543 %P 873-891 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85003856343&doi=10.1016%2fj.jhydrol.2016.11.008&partnerID=40&md5=1267bcd910b18e04bea8ece20796e55a %R 10.1016/j.jhydrol.2016.11.008 %0 Journal Article %J Journal of Hydrology %D 2015 %T Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall-runoff model calibration %A Shafii, M. %A Tolson, B. %A Shawn Matott, L. %B Journal of Hydrology %V 523 %P 693-705 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923172339&doi=10.1016%2fj.jhydrol.2015.01.051&partnerID=40&md5=505473c1a57a6df79a5a4d377e831889 %R 10.1016/j.jhydrol.2015.01.051 %0 Journal Article %J Hydrological Processes %D 2015 %T Assessing the performance of a semi-distributed hydrological model under various watershed discretization schemes %A Haghnegahdar, A. %A Tolson, B.A. %A Craig, J.R. %A Paya, K.T. %B Hydrological Processes %V 29 %P 4018-4031 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939470353&doi=10.1002%2fhyp.10550&partnerID=40&md5=6f61597fe904dc75f2d1ef5eb1b5f81d %R 10.1002/hyp.10550 %0 Journal Article %J Remote Sensing of Environment %D 2015 %T Assimilation of SMOS soil moisture over the Great Lakes basin %A Xu, X. %A Tolson, B.A. %A Li, J. %A Staebler, R.M. %A Seglenieks, F. %A Haghnegahdar, A. %A Davison, B. %B Remote Sensing of Environment %V 169 %P 163-175 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940193379&doi=10.1016%2fj.rse.2015.08.017&partnerID=40&md5=be0ef2702445846b07cba034625537bf %R 10.1016/j.rse.2015.08.017 %0 Journal Article %J Journal of Hydroinformatics %D 2015 %T Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption %A Shafii, M. %A Tolson, B. %A Matott, L.S. %B Journal of Hydroinformatics %V 17 %P 763-770 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940666239&doi=10.2166%2fhydro.2015.043&partnerID=40&md5=6fade8f9a06f5deb89e6000248c4e459 %R 10.2166/hydro.2015.043 %0 Journal Article %J Journal of Water Supply: Research and Technology - AQUA %D 2015 %T Minimizing water residence time in Quebec City's main distribution network using hybrid discrete dynamically dimensioned search (HD-DDS): Part II %A Delisle, F.-J. %A Rochette, S. %A Pelletier, G. %A Asadzadeh, M. %A Tolson, B.A. %A Rodriguez, M.J. %B Journal of Water Supply: Research and Technology - AQUA %V 64 %P 378-390 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929314646&doi=10.2166%2faqua.2014.054&partnerID=40&md5=73a8d8acb7e4de153cc9a15c51b22a2f %R 10.2166/aqua.2014.054 %0 Journal Article %J Water Resources Research %D 2015 %T Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives %A Shafii, M. %A Tolson, B.A. %B Water Resources Research %V 51 %P 3796-3814 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027944980&doi=10.1002%2f2014WR016520&partnerID=40&md5=ff6459db180f8cb83298234184ad8bfb %R 10.1002/2014WR016520 %0 Conference Paper %B Procedia Engineering %D 2015 %T Water distribution system calibration: Manual versus optimization-based approach %A Khedr, A. %A Tolson, B. %A Ziemann, S. %B Procedia Engineering %V 119 %P 725-733 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941075316&doi=10.1016%2fj.proeng.2015.08.926&partnerID=40&md5=c8152d259b35ce389a98e46ddf9d4d39 %R 10.1016/j.proeng.2015.08.926 %0 Conference Paper %B International Geoscience and Remote Sensing Symposium (IGARSS) %D 2014 %T Assimilation of SMOS soil moisture in the MESH model with the ensemble Kalman filter %A Xu, X. %A Li, J. %A Tolson, B.A. %A Staebler, R.M. %A Seglenieks, F. %A Davison, B. %A Haghnegahdar, A. %A Soulis, E.D. %B International Geoscience and Remote Sensing Symposium (IGARSS) %P 3766-3769 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911365722&doi=10.1109%2fIGARSS.2014.6947303&partnerID=40&md5=c10da043499916004e75ee875f45ba7d %R 10.1109/IGARSS.2014.6947303 %0 Conference Paper %B Procedia Engineering %D 2014 %T Battle of Background Leakage Assessment for Water Networks (BBLAWN): An incremental savings approach %A Tolson, B.A. %A Khedr, A. %B Procedia Engineering %V 89 %P 69-77 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949134598&doi=10.1016%2fj.proeng.2014.11.161&partnerID=40&md5=d6d1bab9e87588620baf131ee61d4155 %R 10.1016/j.proeng.2014.11.161 %0 Journal Article %J Journal of Water Resources Planning and Management %D 2014 %T Battle of the Water Networks II %A Marchi, A. %A Salomons, E. %A Ostfeld, A. %A Kapelan, Z. %A Simpson, A.R. %A Zecchin, A.C. %A Maier, H.R. %A Wu, Z.Y. %A Elsayed, S.M. %A Song, Y. %A Walski, T. %A Stokes, C. %A Wu, W. %A Dandy, G.C. %A Alvisi, S. %A Creaco, E. %A Franchini, M. %A Saldarriaga, J. %A Páez, D. %A Hernández, D. %A Bohorquez, J. %A Bent, R. %A Coffrin, C. %A Judi, D. %A McPherson, T. %A van Hentenryck, P. %A Matos, J.P. %A Monteiro, A.J. %A Matias, N. %A Yoo, D.G. %A Lee, H.M. %A Kim, J.H. %A Iglesias-Rey, P.L. %A Martínez-Solano, F.J. %A Mora-Meliá, D. %A Ribelles-Aguilar, J.V. %A Guidolin, M. %A Fu, G. %A Reed, P. %A Wang, Q. %A Liu, H. %A McClymont, K. %A Johns, M. %A Keedwell, E. %A Kandiah, V. %A Jasper, M.N. %A Drake, K. %A Shafiee, E. %A Barandouzi, M.A. %A Berglund, A.D. %A Brill, D. %A Mahinthakumar, G. %A Ranjithan, R. %A Zechman, E.M. %A Morley, M.S. %A Tricarico, C. %A de Marinis, G. %A Tolson, B.A. %A Khedr, A. %A Asadzadeh, M. %B Journal of Water Resources Planning and Management %V 140 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923096575&doi=10.1061%2f%28ASCE%29WR.1943-5452.0000378&partnerID=40&md5=20662d05e9ff551473f61eaaaf06afaf %R 10.1061/(ASCE)WR.1943-5452.0000378 %0 Journal Article %J Atmosphere - Ocean %D 2014 %T Calibrating environment Canada's MESH modelling system over the Great Lakes Basin %A Haghnegahdar, A. %A Tolson, B.A. %A Davison, B. %A Seglenieks, F.R. %A Klyszejko, E. %A Soulis, E.D. %A Fortin, V. %A Matott, L.S. %B Atmosphere - Ocean %V 52 %P 281-293 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908503906&doi=10.1080%2f07055900.2014.939131&partnerID=40&md5=f7a11392be7f55abfebbe64f6d9af185 %R 10.1080/07055900.2014.939131 %0 Journal Article %J Journal of Water Resources Planning and Management %D 2014 %T Evaluation of new control structures for regulating the great lakes system: Multiscenario, multireservoir optimization approach %A Razavi, S. %A Asadzadeh, M. %A Tolson, B. %A Fay, D. %A Moin, S. %A Bruxer, J. %A Fan, Y. %B Journal of Water Resources Planning and Management %V 140 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929151137&doi=10.1061%2f%28ASCE%29WR.1943-5452.0000375&partnerID=40&md5=37df5d5c7cbf3414598de478dccc015d %R 10.1061/(ASCE)WR.1943-5452.0000375 %0 Journal Article %J Water Resources Research %D 2014 %T A new selection metric for multiobjective hydrologic model calibration %A Asadzadeh, M. %A Tolson, B.A. %A Burn, D.H. %B Water Resources Research %V 50 %P 7082-7099 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906803568&doi=10.1002%2f2013WR014970&partnerID=40&md5=b4877c5cb41339d086494a0fda92c111 %R 10.1002/2013WR014970 %0 Journal Article %J Environmental Modelling and Software %D 2014 %T Pre-emption strategies for efficient multi-objective optimization: Application to the development of Lake Superior regulation plan %A Asadzadeh, M. %A Razavi, S. %A Tolson, B.A. %A Fay, D. %B Environmental Modelling and Software %V 54 %P 128-141 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892872839&doi=10.1016%2fj.envsoft.2014.01.005&partnerID=40&md5=c76a1c2f041da1cbf5ee91e0911b8b3e %R 10.1016/j.envsoft.2014.01.005 %0 Journal Article %J Progress in Physical Geography %D 2014 %T Progress in integrating remote sensing data and hydrologic modeling %A Xu, X. %A Li, J. %A Tolson, B.A. %B Progress in Physical Geography %V 38 %P 464-498 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923022592&doi=10.1177%2f0309133314536583&partnerID=40&md5=502998f6f0cf9da2236490988fdfa2b5 %R 10.1177/0309133314536583 %0 Journal Article %J Journal of Hydrology %D 2014 %T Quantitative global sensitivity analysis of the RZWQM to warrant a robust and effective calibration %A Esmaeili, S. %A Thomson, N.R. %A Tolson, B.A. %A Zebarth, B.J. %A Kuchta, S.H. %A Neilsen, D. %B Journal of Hydrology %V 511 %P 567-579 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896709979&doi=10.1016%2fj.jhydrol.2014.01.051&partnerID=40&md5=9375f5806e54b7c9eaba4ab4b8a9ef16 %R 10.1016/j.jhydrol.2014.01.051 %0 Journal Article %J Stochastic Environmental Research and Risk Assessment %D 2014 %T Uncertainty-based multi-criteria calibration of rainfall-runoff models: A comparative study %A Shafii, M. %A Tolson, B. %A Matott, L.S. %B Stochastic Environmental Research and Risk Assessment %V 28 %P 1493-1510 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903552202&doi=10.1007%2fs00477-014-0855-x&partnerID=40&md5=103c3230acc7f84c992e838f4a435bb3 %R 10.1007/s00477-014-0855-x %0 Journal Article %J Water Resources Research %D 2013 %T An efficient framework for hydrologic model calibration on long data periods %A Razavi, S. %A Tolson, B.A. %B Water Resources Research %V 49 %P 8418-8431 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896738115&doi=10.1002%2f2012WR013442&partnerID=40&md5=68233671bb6d7248a7a7f85a1a3cfa1e %R 10.1002/2012WR013442 %0 Journal Article %J Engineering Optimization %D 2013 %T Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization %A Asadzadeh, M. %A Tolson, B. %B Engineering Optimization %V 45 %P 1489-1509 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886092828&doi=10.1080%2f0305215X.2012.748046&partnerID=40&md5=2e5d3e252ab01e483a898458069ccafa %R 10.1080/0305215X.2012.748046 %0 Conference Paper %B 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012 %D 2012 %T Assessing the impact of alternative pipe groupings on multiobjective water distribution network calibration %A Asadzadeh, M. %A Tolson, B. %B 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012 %V 1 %P 19-27 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883079041&partnerID=40&md5=aca00af487fead2687cea62c7668f5ab %0 Journal Article %J Journal of Water Resources Planning and Management %D 2012 %T Battle of the water calibration networks %A Ostfeld, A. %A Salomons, E. %A Ormsbee, L. %A Uber, J.G. %A Bros, C.M. %A Kalungi, P. %A Burd, R. %A Zazula-Coetzee, B. %A Belrain, T. %A Kang, D. %A Lansey, K. %A Shen, H. %A McBean, E. %A Wu, Z.Y. %A Walski, T. %A Alvisi, S. %A Franchini, M. %A Johnson, J.P. %A Ghimire, S.R. %A Barkdoll, B.D. %A Koppel, T. %A Vassiljev, A. %A Kim, J.H. %A Chung, G. %A Yoo, D.G. %A Diao, K. %A Zhou, Y. %A Li, J. %A Liu, Z. %A Chang, K. %A Gao, J. %A Qu, S. %A Yuan, Y. %A Prasad, T.D. %A Laucelli, D. %A Lyroudia Vamvakeridou, L.S. %A Kapelan, Z. %A Savic, D. %A Berardi, L. %A Barbaro, G. %A Giustolisi, O. %A Asadzadeh, M. %A Tolson, B.A. %A McKillop, R. %B Journal of Water Resources Planning and Management %V 138 %P 523-532 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859988603&doi=10.1061%2f%28ASCE%29WR.1943-5452.0000191&partnerID=40&md5=54d52d07ff0b6ad1d50558585716c9ce %R 10.1061/(ASCE)WR.1943-5452.0000191 %0 Conference Paper %B 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012 %D 2012 %T The battle of the water networks (BWN-II): Padds based solution approach %A Tolson, B.A. %A Khedr, A. %A Asadzadeh, M. %B 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012 %V 1 %P 291-304 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883057490&partnerID=40&md5=fa04bfc0e9894dc9eb2986b5debf4e5d %0 Journal Article %J Environmental Modelling and Software %D 2012 %T A benchmarking framework for simulation-based optimization of environmental models %A Matott, L.S. %A Tolson, B.A. %A Asadzadeh, M. %B Environmental Modelling and Software %V 35 %P 19-30 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860151277&doi=10.1016%2fj.envsoft.2012.02.002&partnerID=40&md5=2379917a1427a282274852bf7a38a78f %R 10.1016/j.envsoft.2012.02.002 %0 Journal Article %J Hydrogeology Journal %D 2012 %T Conceptual and numerical models for sustainable groundwater management in the Thaphra area, Chi River Basin, Thailand [Modèles conceptuels numériques de gestion durable de la nappe dans la région de Thaphra, Bassin de la Rivière Chi, Thaïlande] %A Nettasana, T. %A Craig, J. %A Tolson, B. %B Hydrogeology Journal %V 20 %P 1355-1374 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867794660&doi=10.1007%2fs10040-012-0887-6&partnerID=40&md5=018a66312cf59abe19ad0e757fbc7ff1 %R 10.1007/s10040-012-0887-6 %0 Journal Article %J Journal of Hydroinformatics %D 2012 %T Hybrid Pareto archived dynamically dimensioned search for multi-objective combinatorial optimization: Application to water distribution network design %A Asadzadeh, M. %A Tolson, B. %B Journal of Hydroinformatics %V 14 %P 192-205 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865045057&doi=10.2166%2fhydro.2011.098&partnerID=40&md5=c5d10d955736efea24fac2cda6660aa7 %R 10.2166/hydro.2011.098 %0 Journal Article %J Environmental Modelling and Software %D 2012 %T Numerical assessment of metamodelling strategies in computationally intensive optimization %A Razavi, S. %A Tolson, B.A. %A Burn, D.H. %B Environmental Modelling and Software %V 34 %P 67-86 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859099633&doi=10.1016%2fj.envsoft.2011.09.010&partnerID=40&md5=40ba0e594cfd554e1d642899ebce017b %R 10.1016/j.envsoft.2011.09.010 %0 Journal Article %J Water Resources Research %D 2012 %T Review of surrogate modeling in water resources %A Razavi, S. %A Tolson, B.A. %A Burn, D.H. %B Water Resources Research %V 48 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864535862&doi=10.1029%2f2011WR011527&partnerID=40&md5=2749b1cfb2ed96fc0d9bf23f44c717cd %R 10.1029/2011WR011527 %0 Conference Paper %B Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010 %D 2012 %T A two stage Optimization approach for calibrating water distribution systems %A Asadzadeh, M. %A Tolson, B.A. %A McKillop, R. %B Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010 %P 1682-1694 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856141165&doi=10.1061%2f41203%28425%29148&partnerID=40&md5=a3e508d80bc66c32fd1a22b301cabd14 %R 10.1061/41203(425)148 %0 Journal Article %J IEEE Transactions on Neural Networks %D 2011 %T A new formulation for feedforward neural networks %A Razavi, S. %A Tolson, B.A. %B IEEE Transactions on Neural Networks %V 22 %P 1588-1598 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053625918&doi=10.1109%2fTNN.2011.2163169&partnerID=40&md5=11551c30f2e0a77069bd7254a5e0824b %R 10.1109/TNN.2011.2163169 %0 Journal Article %J Canadian Journal of Civil Engineering %D 2011 %T Risk assessment of a water supply system under climate variability: A stochastic approach %A Yung, B.B. %A Tolson, B.A. %A Burn, D.H. %B Canadian Journal of Civil Engineering %V 38 %P 252-262 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953905144&doi=10.1139%2fL10-132&partnerID=40&md5=93ffbb20c986faa9284ba1959e99d169 %R 10.1139/L10-132 %0 Journal Article %J Water Resources Research %D 2010 %T Reducing the computational cost of automatic calibration through model preemption %A Razavi, S. %A Tolson, B.A. %A Matott, L.S. %A Thomson, N.R. %A MacLean, A. %A Seglenieks, F.R. %B Water Resources Research %V 46 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649414983&doi=10.1029%2f2009WR008957&partnerID=40&md5=cc6bd1dd7a1a7b318a97189fb968e98e %R 10.1029/2009WR008957 %0 Journal Article %J Journal of Hydraulic Engineering %D 2010 %T Sensitivity of field data estimates in one-dimensional hydraulic modeling of channels %A Kuta, R.W. %A Annable, W.K. %A Tolson, B.A. %B Journal of Hydraulic Engineering %V 136 %P 379-384 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953276871&doi=10.1061%2f%28ASCE%29HY.1943-7900.0000187&partnerID=40&md5=f88ca714e0f75170fc5a22cb3f16a2bd %R 10.1061/(ASCE)HY.1943-7900.0000187 %0 Journal Article %J Water Resources Research %D 2009 %T Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization %A Tolson, B.A. %A Asadzadeh, M. %A Maier, H.R. %A Zecchin, A. %B Water Resources Research %V 45 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-79958022381&doi=10.1029%2f2008WR007673&partnerID=40&md5=7ae279c0e7236d137cf777fda6858c4b %R 10.1029/2008WR007673 %0 Journal Article %J Canadian Journal of Civil Engineering %D 2009 %T Probabilistic design of a riverine early warning source water monitoring system %A Sim, H.P. %A Burn, D.H. %A Tolson, B.A. %B Canadian Journal of Civil Engineering %V 36 %P 1095-1106 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349196064&doi=10.1139%2fL09-041&partnerID=40&md5=e60832e561a572ebf2386126ab31ed41 %R 10.1139/L09-041 %0 Journal Article %J Water Resources Research %D 2008 %T Efficient prediction uncertainty approximation in the calibration of environmental simulation models %A Tolson, B.A. %A Shoemaker, C.A. %B Water Resources Research %V 44 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-44349166240&doi=10.1029%2f2007WR005869&partnerID=40&md5=5ef1db22a088ba5e14bdfb9209e2c475 %R 10.1029/2007WR005869 %0 Conference Paper %B World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008 %D 2008 %T A new algorithm for water distribution system optimization: Discrete dynamically dimensioned search %A Tolson, B.A. %A Esfahani, M.A. %A Zecchin, A.C. %A Maier, H.R. %B World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008 %V 316 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-79251476250&doi=10.1061%2f40976%28316%29494&partnerID=40&md5=51284b04ec304fb04f6da9e33c481de4 %R 10.1061/40976(316)494 %0 Journal Article %J Physics and Chemistry of the Earth %D 2008 %T Regionalisation of land surface hydrological model parameters in subarctic and arctic environments %A Dornes, P.F. %A Tolson, B.A. %A Davison, B. %A Pietroniro, A. %A Pomeroy, J.W. %A Marsh, P. %B Physics and Chemistry of the Earth %V 33 %P 1081-1089 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949112971&doi=10.1016%2fj.pce.2008.07.007&partnerID=40&md5=5108929fbda4e5ec87b27553fad8499f %R 10.1016/j.pce.2008.07.007 %0 Journal Article %J Water Resources Research %D 2008 %T Reply to comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Ali Behrangi et al. %A Tolson, B.A. %A Shoemaker, C.A. %B Water Resources Research %V 44 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-59649101857&doi=10.1029%2f2008WR006862&partnerID=40&md5=50e44c706239224768ab33c7e107d018 %R 10.1029/2008WR006862 %0 Journal Article %J Journal of Hydrology %D 2007 %T Cannonsville Reservoir Watershed SWAT2000 model development, calibration and validation %A Tolson, B.A. %A Shoemaker, C.A. %B Journal of Hydrology %V 337 %P 68-86 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-33947576866&doi=10.1016%2fj.jhydrol.2007.01.017&partnerID=40&md5=43fc27210b0508c4923fbda7d9d20f44 %R 10.1016/j.jhydrol.2007.01.017 %0 Journal Article %J Water Resources Research %D 2007 %T Dynamically dimensioned search algorithm for computationally efficient watershed model calibration %A Tolson, B.A. %A Shoemaker, C.A. %B Water Resources Research %V 43 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847618256&doi=10.1029%2f2005WR004723&partnerID=40&md5=a9d84e262c74350bbb83fd1b1dde153f %R 10.1029/2005WR004723 %0 Conference Paper %B Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006 %D 2007 %T New dynamically dimensioned search algorithm for automatic calibration with application to phosphorous transport in northeast watershed %A Shoemaker, C.A. %A Tolson, B. %B Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858595384&doi=10.1061%2f40856%28200%29316&partnerID=40&md5=42cb78dac99ceb742d950dad97e96f08 %R 10.1061/40856(200)316 %0 Conference Paper %B Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management %D 2004 %T Assessing TMDL's and management of phosphorous pollution using data and model for the Cannonsville Watershed, NY %A Shoemaker, C. %A Tolson, B. %B Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management %P 409-418 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-23844455023&partnerID=40&md5=68618cf60fa9dfba171b1fab657f3a30 %0 Conference Paper %B Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management %D 2004 %T Automatic calibration and uncertainty analysis of a watershed model %A Shoemaker, C. %A Tolson, B. %A Mendez, F. %B Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management %P 1768-1772 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-23844447099&partnerID=40&md5=f3a91e9b074becc1bb4c11ddcc959c90 %0 Journal Article %J Journal of Water Resources Planning and Management %D 2004 %T Genetic algorithms for reliability-based optimization of water distribution systems %A Tolson, B.A. %A Maier, H.R. %A Simpson, A.R. %A Lence, B.J. %B Journal of Water Resources Planning and Management %V 130 %P 63-72 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-1642538303&doi=10.1061%2f%28ASCE%290733-9496%282004%29130%3a1%2863%29&partnerID=40&md5=f2af479344ff6855fd6a2d421c082177 %R 10.1061/(ASCE)0733-9496(2004)130:1(63) %0 Conference Paper %B Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001 %D 2004 %T Water distribution network reliability estimation using the First-Order Reliability Method %A Tolson, B.A. %A Maier, H.R. %A Simpson, A.R. %B Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001 %V 111 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-75649090841&doi=10.1061%2f40569%282001%29413&partnerID=40&md5=312c929bc19adc93ea9b57168e896af7 %R 10.1061/40569(2001)413 %0 Conference Paper %B World Water and Environmental Resources Congress %D 2003 %T Future Phosphorus Loading to the Cannonsville Reservoir %A Tolson, B.A. %A Shoemaker, C.A. %B World Water and Environmental Resources Congress %P 2355-2363 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-0942279343&partnerID=40&md5=13bf6644f8d19abd396d383ce9f89c34 %0 Journal Article %J Water Resources Research %D 2001 %T First-order reliability method for estimating reliability, vulnerability, and resilience %A Maier, H.R. %A Lence, B.J. %A Tolson, B.A. %A Foschi, R.O. %B Water Resources Research %V 37 %P 779-790 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034988129&doi=10.1029%2f2000WR900329&partnerID=40&md5=1fac95b762d00caf40850bdf33ebd3d1 %R 10.1029/2000WR900329 %0 Journal Article %J Journal of Environmental Engineering %D 2000 %T Achieving water quality system reliability using genetic algorithms %A Vasquez, J.A. %A Maier, H.R. %A Lence, B.J. %A Tolson, B.A. %A Foschi, R.O. %B Journal of Environmental Engineering %V 126 %P 954-962 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034302507&doi=10.1061%2f%28ASCE%290733-9372%282000%29126%3a10%28954%29&partnerID=40&md5=a9d8d22794bbf52462f5441fbcd97940 %R 10.1061/(ASCE)0733-9372(2000)126:10(954) %0 Conference Paper %B 2000 Annual Conference Abstracts - Canadian Society for Civil Engineering %D 2000 %T Genetic algorithms for reliability-based optimization in water quality management %A Tolson, B.A. %A Lence, B.J. %B 2000 Annual Conference Abstracts - Canadian Society for Civil Engineering %P 39 %G eng %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-21844467524&partnerID=40&md5=f5f221a32119c567eae2b4516c1be11d