@article {29244, title = {Automatic Model Structure Identification: Using Mixed-Integer Calibration for Model Development.}, journal = {Geophysical Research Abstracts}, volume = {21}, year = {2019}, abstract = {
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\ {\textellipsis}
}, author = {D. Spieler and J. Mai and J.Craig and B. Tolson and N. Schutze} } @article {Bomhof2019, title = {Comparing single and multi-objective hydrologic model calibration considering reservoir inflow and streamflow observations}, journal = {Canadian Water Resources Journal}, year = {2019}, note = {cited By 0}, doi = {10.1080/07011784.2019.1623077}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067439137\&doi=10.1080\%2f07011784.2019.1623077\&partnerID=40\&md5=ce928a2eabec424b267472e5be26ba28}, author = {Bomhof, J. and Tolson, B.A. and Kouwen, N.} } @article {29241, title = {Discretization strategies for distributed models of mountainous watersheds}, journal = {AGU Fall Meeting Abstracts}, volume = {2019}, year = {2019}, pages = {H42B-04}, abstract = {Distributed 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.
}, author = {H Liu and G. Brown and J. Craig and B. Tolson and A. Newman and A. Wood} } @article {Liu2019985, title = {Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset}, journal = {Journal of Hydrology}, volume = {568}, year = {2019}, note = {cited By 1}, pages = {985-996}, doi = {10.1016/j.jhydrol.2018.11.047}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057491666\&doi=10.1016\%2fj.jhydrol.2018.11.047\&partnerID=40\&md5=c7d6707b957487bc1dc4d0973edd1bf6}, author = {Liu, H. and Thiboult, A. and Tolson, B. and Anctil, F. and Mai, J.} } @article {Maier2019195, title = {Introductory overview: Optimization using evolutionary algorithms and other metaheuristics}, journal = {Environmental Modelling and Software}, year = {2019}, note = {cited By 2}, pages = {195-213}, doi = {10.1016/j.envsoft.2018.11.018}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061316090\&doi=10.1016\%2fj.envsoft.2018.11.018\&partnerID=40\&md5=a600dd34069734f982e5c223f31013b9}, author = {Maier, H.R. and Razavi, S. and Kapelan, Z. and Matott, L.S. and Kasprzyk, J. and Tolson, B.A.} } @article {29243, title = {Machine Learning for Streamflow Prediction: Current Status and Future Prospects}, journal = {AGU Fall Meeting Abstracts}, volume = {2019}, year = {2019}, pages = {H33L-2127}, abstract = {Accurate 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.
}, author = {M. Gauch and R. Tang and J. Mai and B. Tolson and S. Gharari and J. Lin} } @article {Mai20192631, title = {Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results}, journal = {Water Resources Research}, volume = {55}, number = {4}, year = {2019}, note = {cited By 0}, pages = {2631-2651}, doi = {10.1029/2018WR023382}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063767508\&doi=10.1029\%2f2018WR023382\&partnerID=40\&md5=ffeff92977886e5c038c2ad16f7bc2be}, author = {Mai, J. and Tolson, B.A.} } @article {29242, title = {Recoupling the Livestock Nutrient Economy across the Continental US}, journal = {AGU Fall Meeting Abstracts}, year = {2019}, pages = {H41F-08}, abstract = {Increased 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\ {\textellipsis}
}, author = {N. Basu and A. Werenka and K. Meter and B. Tolson} } @article {29248, title = {The runoff model-intercomparison project over Lake Erie and the Great Lakes}, journal = {AGU Fall Meeting Abstracts}, volume = {2019}, year = {2019}, pages = {H32E-03}, abstract = {The 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.
}, author = {J. Mai and B. Tolson and H. Shen and E. Gaborit and V. Fortin and M. Dimitrijevic and N. Gasset and D. Durnford and Y. Shin and T. Stadnyk and O. Awoye and L. Fry and E. Bradley and T. Hunter and A. Gronewall and J. Smith and L. Mason and L. Read and K. FitzGerald and K. Sampsn and A. Hamlet and F. Seglenieks and A. Temgoua and S. Gharari and S. Razavi and A. Haghnegahdar and M. Elshamy and D. Princz and A. Pietroniro and X. Ni and Y. Yuan and M. Najafi and M. Rahimimovaghar and M. Gauch and J. Lin and R. Tang} } @article {29247, title = {A sequential assimilation strategy to improve short-and long-term forecasts in a hydropower application.}, journal = {Geophysical Research Abstracts}, volume = {21}, year = {2019}, abstract = {Hydropower 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\ {\textellipsis}
}, author = {J. Mai and R. Arsenault and B. Tolson and M. Latraverse and K. Demeester} } @article {29246, title = {Trading off data and parameter uncertainty versus model structure uncertainty: a case study comparing single-model and multi-model ensemble streamflow forecasting.}, journal = {Geophysical Research Abstracts}, volume = {21}, year = {2019}, abstract = {Developing 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\ {\textellipsis}
}, author = {B. Tolson and H. Liu and A. Thiboult and F. Anctil} } @article {29245, title = {Using calibration period ensembles of climate and flow data to optimize the characterization of hydrologic model prediction uncertainty.}, journal = {Geophysical Research Abstracts}, volume = {21}, year = {2019}, abstract = {Current 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\ {\textellipsis}
}, author = {H. Liu and B. Tolson} } @article {Awol201812, title = {Event-based model calibration approaches for selecting representative distributed parameters in semi-urban watersheds}, journal = {Advances in Water Resources}, volume = {118}, year = {2018}, note = {cited By 1}, pages = {12-27}, doi = {10.1016/j.advwatres.2018.05.013}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048227518\&doi=10.1016\%2fj.advwatres.2018.05.013\&partnerID=40\&md5=5a9243d48327befc85052a10ad393464}, author = {Awol, F.S. and Coulibaly, P. and Tolson, B.A.} } @article {Jahanpour2018, title = {PADDS algorithm assessment for biobjective water distribution system benchmark design problems}, journal = {Journal of Water Resources Planning and Management}, volume = {144}, number = {3}, year = {2018}, note = {cited By 1}, doi = {10.1061/(ASCE)WR.1943-5452.0000875}, url = {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}, author = {Jahanpour, M. and Tolson, B.A. and Mai, J.} } @article {Xu20171317, title = {Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada{\textquoteright}s MESH Model}, journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, volume = {10}, number = {4}, year = {2017}, note = {cited By 1}, pages = {1317-1327}, doi = {10.1109/JSTARS.2016.2626256}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016762023\&doi=10.1109\%2fJSTARS.2016.2626256\&partnerID=40\&md5=caa1ea22e543b3943d254b16446fc66c}, author = {Xu, X. and Tolson, B.A. and Li, J. and Davison, B.} } @article {Xu20173850, title = {Comparison of X-Band and L-Band Soil Moisture Retrievals for Land Data Assimilation}, journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, volume = {10}, number = {9}, year = {2017}, note = {cited By 2}, pages = {3850-3860}, doi = {10.1109/JSTARS.2017.2703988}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019875709\&doi=10.1109\%2fJSTARS.2017.2703988\&partnerID=40\&md5=23af66779127bdc054067e5f540411fb}, author = {Xu, X. and Tolson, B.A. and Li, J. and Davison, B.} } @article {Gaborit2017217, title = {Great Lakes Runoff Inter-comparison Project, phase 2: Lake Ontario (GRIP-O)}, journal = {Journal of Great Lakes Research}, volume = {43}, number = {2}, year = {2017}, note = {cited By 3}, pages = {217-227}, doi = {10.1016/j.jglr.2016.10.004}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007413465\&doi=10.1016\%2fj.jglr.2016.10.004\&partnerID=40\&md5=97f8a24965ef2a239d7980b037b7b591}, author = {Gaborit, E. and Fortin, V. and Tolson, B. and Fry, L. and Hunter, T. and Gronewold, A.D.} } @article {Gaborit20174825, title = {A hydrological prediction system based on the SVS land-surface scheme: Efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin}, journal = {Hydrology and Earth System Sciences}, volume = {21}, number = {9}, year = {2017}, note = {cited By 6}, pages = {4825-4839}, doi = {10.5194/hess-21-4825-2017}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030527453\&doi=10.5194\%2fhess-21-4825-2017\&partnerID=40\&md5=f0f377abe51884cab3c58504eeb5be0b}, author = {Gaborit, E. and Fortin, V. and Xu, X. and Seglenieks, F. and Tolson, B. and Fry, L.M. and Hunter, T. and Anctil, F. and Gronewold, A.D.} } @article {Khedr2016, title = {Comparing optimization techniques with an engineering judgment approach to WDN design}, journal = {Journal of Water Resources Planning and Management}, volume = {142}, number = {5}, year = {2016}, note = {cited By 4}, doi = {10.1061/(ASCE)WR.1943-5452.0000611}, url = {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}, author = {Khedr, A. and Tolson, B.} } @article {Liu2016873, title = {A priori discretization error metrics for distributed hydrologic modeling applications}, journal = {Journal of Hydrology}, volume = {543}, year = {2016}, note = {cited By 1}, pages = {873-891}, doi = {10.1016/j.jhydrol.2016.11.008}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85003856343\&doi=10.1016\%2fj.jhydrol.2016.11.008\&partnerID=40\&md5=1267bcd910b18e04bea8ece20796e55a}, author = {Liu, H. and Tolson, B.A. and Craig, J.R. and Shafii, M.} } @article {Shafii2015693, title = {Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall-runoff model calibration}, journal = {Journal of Hydrology}, volume = {523}, year = {2015}, note = {cited By 11}, pages = {693-705}, doi = {10.1016/j.jhydrol.2015.01.051}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923172339\&doi=10.1016\%2fj.jhydrol.2015.01.051\&partnerID=40\&md5=505473c1a57a6df79a5a4d377e831889}, author = {Shafii, M. and Tolson, B. and Shawn Matott, L.} } @article {Haghnegahdar20154018, title = {Assessing the performance of a semi-distributed hydrological model under various watershed discretization schemes}, journal = {Hydrological Processes}, volume = {29}, number = {18}, year = {2015}, note = {cited By 11}, pages = {4018-4031}, doi = {10.1002/hyp.10550}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939470353\&doi=10.1002\%2fhyp.10550\&partnerID=40\&md5=6f61597fe904dc75f2d1ef5eb1b5f81d}, author = {Haghnegahdar, A. and Tolson, B.A. and Craig, J.R. and Paya, K.T.} } @article {Xu2015163, title = {Assimilation of SMOS soil moisture over the Great Lakes basin}, journal = {Remote Sensing of Environment}, volume = {169}, year = {2015}, note = {cited By 12}, pages = {163-175}, doi = {10.1016/j.rse.2015.08.017}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940193379\&doi=10.1016\%2fj.rse.2015.08.017\&partnerID=40\&md5=be0ef2702445846b07cba034625537bf}, author = {Xu, X. and Tolson, B.A. and Li, J. and Staebler, R.M. and Seglenieks, F. and Haghnegahdar, A. and Davison, B.} } @article {Shafii2015763, title = {Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption}, journal = {Journal of Hydroinformatics}, volume = {17}, number = {5}, year = {2015}, note = {cited By 2}, pages = {763-770}, doi = {10.2166/hydro.2015.043}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940666239\&doi=10.2166\%2fhydro.2015.043\&partnerID=40\&md5=6fade8f9a06f5deb89e6000248c4e459}, author = {Shafii, M. and Tolson, B. and Matott, L.S.} } @article {Delisle2015378, title = {Minimizing water residence time in Quebec City{\textquoteright}s main distribution network using hybrid discrete dynamically dimensioned search (HD-DDS): Part II}, journal = {Journal of Water Supply: Research and Technology - AQUA}, volume = {64}, number = {3}, year = {2015}, note = {cited By 4}, pages = {378-390}, doi = {10.2166/aqua.2014.054}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929314646\&doi=10.2166\%2faqua.2014.054\&partnerID=40\&md5=73a8d8acb7e4de153cc9a15c51b22a2f}, author = {Delisle, F.-J. and Rochette, S. and Pelletier, G. and Asadzadeh, M. and Tolson, B.A. and Rodriguez, M.J.} } @article {Shafii20153796, title = {Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives}, journal = {Water Resources Research}, volume = {51}, number = {5}, year = {2015}, note = {cited By 44}, pages = {3796-3814}, doi = {10.1002/2014WR016520}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027944980\&doi=10.1002\%2f2014WR016520\&partnerID=40\&md5=ff6459db180f8cb83298234184ad8bfb}, author = {Shafii, M. and Tolson, B.A.} } @conference {Khedr2015725, title = {Water distribution system calibration: Manual versus optimization-based approach}, booktitle = {Procedia Engineering}, volume = {119}, number = {1}, year = {2015}, note = {cited By 2}, pages = {725-733}, doi = {10.1016/j.proeng.2015.08.926}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941075316\&doi=10.1016\%2fj.proeng.2015.08.926\&partnerID=40\&md5=c8152d259b35ce389a98e46ddf9d4d39}, author = {Khedr, A. and Tolson, B. and Ziemann, S.} } @conference {Xu20143766, title = {Assimilation of SMOS soil moisture in the MESH model with the ensemble Kalman filter}, booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS)}, year = {2014}, note = {cited By 3}, pages = {3766-3769}, doi = {10.1109/IGARSS.2014.6947303}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911365722\&doi=10.1109\%2fIGARSS.2014.6947303\&partnerID=40\&md5=c10da043499916004e75ee875f45ba7d}, author = {Xu, X. and Li, J. and Tolson, B.A. and Staebler, R.M. and Seglenieks, F. and Davison, B. and Haghnegahdar, A. and Soulis, E.D.} } @conference {Tolson201469, title = {Battle of Background Leakage Assessment for Water Networks (BBLAWN): An incremental savings approach}, booktitle = {Procedia Engineering}, volume = {89}, year = {2014}, note = {cited By 3}, pages = {69-77}, doi = {10.1016/j.proeng.2014.11.161}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949134598\&doi=10.1016\%2fj.proeng.2014.11.161\&partnerID=40\&md5=d6d1bab9e87588620baf131ee61d4155}, author = {Tolson, B.A. and Khedr, A.} } @article {Marchi2014, title = {Battle of the Water Networks II}, journal = {Journal of Water Resources Planning and Management}, volume = {140}, number = {7}, year = {2014}, note = {cited By 58}, doi = {10.1061/(ASCE)WR.1943-5452.0000378}, url = {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}, author = {Marchi, A. and Salomons, E. and Ostfeld, A. and Kapelan, Z. and Simpson, A.R. and Zecchin, A.C. and Maier, H.R. and Wu, Z.Y. and Elsayed, S.M. and Song, Y. and Walski, T. and Stokes, C. and Wu, W. and Dandy, G.C. and Alvisi, S. and Creaco, E. and Franchini, M. and Saldarriaga, J. and P{\'a}ez, D. and Hern{\'a}ndez, D. and Bohorquez, J. and Bent, R. and Coffrin, C. and Judi, D. and McPherson, T. and van Hentenryck, P. and Matos, J.P. and Monteiro, A.J. and Matias, N. and Yoo, D.G. and Lee, H.M. and Kim, J.H. and Iglesias-Rey, P.L. and Mart{\'\i}nez-Solano, F.J. and Mora-Meli{\'a}, D. and Ribelles-Aguilar, J.V. and Guidolin, M. and Fu, G. and Reed, P. and Wang, Q. and Liu, H. and McClymont, K. and Johns, M. and Keedwell, E. and Kandiah, V. and Jasper, M.N. and Drake, K. and Shafiee, E. and Barandouzi, M.A. and Berglund, A.D. and Brill, D. and Mahinthakumar, G. and Ranjithan, R. and Zechman, E.M. and Morley, M.S. and Tricarico, C. and de Marinis, G. and Tolson, B.A. and Khedr, A. and Asadzadeh, M.} } @article {Haghnegahdar2014281, title = {Calibrating environment Canada{\textquoteright}s MESH modelling system over the Great Lakes Basin}, journal = {Atmosphere - Ocean}, volume = {52}, number = {4}, year = {2014}, note = {cited By 22}, pages = {281-293}, doi = {10.1080/07055900.2014.939131}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908503906\&doi=10.1080\%2f07055900.2014.939131\&partnerID=40\&md5=f7a11392be7f55abfebbe64f6d9af185}, author = {Haghnegahdar, A. and Tolson, B.A. and Davison, B. and Seglenieks, F.R. and Klyszejko, E. and Soulis, E.D. and Fortin, V. and Matott, L.S.} } @article {Razavi2014, title = {Evaluation of new control structures for regulating the great lakes system: Multiscenario, multireservoir optimization approach}, journal = {Journal of Water Resources Planning and Management}, volume = {140}, number = {8}, year = {2014}, note = {cited By 3}, doi = {10.1061/(ASCE)WR.1943-5452.0000375}, url = {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}, author = {Razavi, S. and Asadzadeh, M. and Tolson, B. and Fay, D. and Moin, S. and Bruxer, J. and Fan, Y.} } @article {Asadzadeh20147082, title = {A new selection metric for multiobjective hydrologic model calibration}, journal = {Water Resources Research}, volume = {50}, number = {9}, year = {2014}, note = {cited By 13}, pages = {7082-7099}, doi = {10.1002/2013WR014970}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906803568\&doi=10.1002\%2f2013WR014970\&partnerID=40\&md5=b4877c5cb41339d086494a0fda92c111}, author = {Asadzadeh, M. and Tolson, B.A. and Burn, D.H.} } @article {Asadzadeh2014128, title = {Pre-emption strategies for efficient multi-objective optimization: Application to the development of Lake Superior regulation plan}, journal = {Environmental Modelling and Software}, volume = {54}, year = {2014}, note = {cited By 13}, pages = {128-141}, doi = {10.1016/j.envsoft.2014.01.005}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892872839\&doi=10.1016\%2fj.envsoft.2014.01.005\&partnerID=40\&md5=c76a1c2f041da1cbf5ee91e0911b8b3e}, author = {Asadzadeh, M. and Razavi, S. and Tolson, B.A. and Fay, D.} } @article {Xu2014464, title = {Progress in integrating remote sensing data and hydrologic modeling}, journal = {Progress in Physical Geography}, volume = {38}, number = {4}, year = {2014}, note = {cited By 32}, pages = {464-498}, doi = {10.1177/0309133314536583}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923022592\&doi=10.1177\%2f0309133314536583\&partnerID=40\&md5=502998f6f0cf9da2236490988fdfa2b5}, author = {Xu, X. and Li, J. and Tolson, B.A.} } @article {Esmaeili2014567, title = {Quantitative global sensitivity analysis of the RZWQM to warrant a robust and effective calibration}, journal = {Journal of Hydrology}, volume = {511}, year = {2014}, note = 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network calibration}, booktitle = {14th Water Distribution Systems Analysis Conference 2012, WDSA 2012}, volume = {1}, year = {2012}, note = {cited By 0}, pages = {19-27}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883079041\&partnerID=40\&md5=aca00af487fead2687cea62c7668f5ab}, author = {Asadzadeh, M. and Tolson, B.} } @article {Ostfeld2012523, title = {Battle of the water calibration networks}, journal = {Journal of Water Resources Planning and Management}, volume = {138}, number = {5}, year = {2012}, note = {cited By 62}, pages = {523-532}, doi = {10.1061/(ASCE)WR.1943-5452.0000191}, url = {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}, author = {Ostfeld, A. and Salomons, E. and Ormsbee, L. and Uber, J.G. and Bros, C.M. and Kalungi, P. and Burd, R. and Zazula-Coetzee, B. and Belrain, T. and Kang, D. and Lansey, K. and Shen, H. and McBean, E. and 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simulation-based optimization of environmental models}, journal = {Environmental Modelling and Software}, volume = {35}, year = {2012}, note = {cited By 21}, pages = {19-30}, doi = {10.1016/j.envsoft.2012.02.002}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860151277\&doi=10.1016\%2fj.envsoft.2012.02.002\&partnerID=40\&md5=2379917a1427a282274852bf7a38a78f}, author = {Matott, L.S. and Tolson, B.A. and Asadzadeh, M.} } @article {Nettasana20121355, title = {Conceptual and numerical models for sustainable groundwater management in the Thaphra area, Chi River Basin, Thailand [Mod{\`e}les conceptuels num{\'e}riques de gestion durable de la nappe dans la r{\'e}gion de Thaphra, Bassin de la Rivi{\`e}re Chi, Tha{\"\i}lande]}, journal = {Hydrogeology Journal}, volume = {20}, number = {7}, year = {2012}, note = {cited By 4}, pages = {1355-1374}, doi = {10.1007/s10040-012-0887-6}, url = 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doi = {10.1016/j.envsoft.2011.09.010}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859099633\&doi=10.1016\%2fj.envsoft.2011.09.010\&partnerID=40\&md5=40ba0e594cfd554e1d642899ebce017b}, author = {Razavi, S. and Tolson, B.A. and Burn, D.H.} } @article {Razavi2012, title = {Review of surrogate modeling in water resources}, journal = {Water Resources Research}, volume = {48}, number = {7}, year = {2012}, note = {cited By 249}, doi = {10.1029/2011WR011527}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864535862\&doi=10.1029\%2f2011WR011527\&partnerID=40\&md5=2749b1cfb2ed96fc0d9bf23f44c717cd}, author = {Razavi, S. and Tolson, B.A. and Burn, D.H.} } @conference {Asadzadeh20121682, title = {A two stage Optimization approach for calibrating water distribution systems}, booktitle = {Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010}, year = {2012}, note = {cited By 4}, pages = {1682-1694}, doi = 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{cited By 2}, pages = {1095-1106}, doi = {10.1139/L09-041}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349196064\&doi=10.1139\%2fL09-041\&partnerID=40\&md5=e60832e561a572ebf2386126ab31ed41}, author = {Sim, H.P. and Burn, D.H. and Tolson, B.A.} } @article {Tolson2008, title = {Efficient prediction uncertainty approximation in the calibration of environmental simulation models}, journal = {Water Resources Research}, volume = {44}, number = {4}, year = {2008}, note = {cited By 43}, doi = {10.1029/2007WR005869}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-44349166240\&doi=10.1029\%2f2007WR005869\&partnerID=40\&md5=5ef1db22a088ba5e14bdfb9209e2c475}, author = {Tolson, B.A. and Shoemaker, C.A.} } @conference {Tolson2008, title = {A new algorithm for water distribution system optimization: Discrete dynamically dimensioned search}, booktitle = {World Environmental and Water Resources Congress 2008: Ahupua{\textquoteright}a - Proceedings of the World Environmental and Water Resources Congress 2008}, volume = {316}, year = {2008}, note = {cited By 1}, doi = {10.1061/40976(316)494}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79251476250\&doi=10.1061\%2f40976\%28316\%29494\&partnerID=40\&md5=51284b04ec304fb04f6da9e33c481de4}, author = {Tolson, B.A. and Esfahani, M.A. and Zecchin, A.C. and Maier, H.R.} } @article {Dornes20081081, title = {Regionalisation of land surface hydrological model parameters in subarctic and arctic environments}, journal = {Physics and Chemistry of the Earth}, volume = {33}, number = {17-18}, year = {2008}, note = {cited By 22}, pages = {1081-1089}, doi = {10.1016/j.pce.2008.07.007}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949112971\&doi=10.1016\%2fj.pce.2008.07.007\&partnerID=40\&md5=5108929fbda4e5ec87b27553fad8499f}, author = {Dornes, P.F. and Tolson, B.A. and Davison, B. and Pietroniro, A. and Pomeroy, J.W. and Marsh, P.} } @article {Tolson2008, title = {Reply to comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Ali Behrangi et al.}, journal = {Water Resources Research}, volume = {44}, number = {12}, year = {2008}, note = {cited By 9}, doi = {10.1029/2008WR006862}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-59649101857\&doi=10.1029\%2f2008WR006862\&partnerID=40\&md5=50e44c706239224768ab33c7e107d018}, author = {Tolson, B.A. and Shoemaker, C.A.} } @article {Tolson200768, title = {Cannonsville Reservoir Watershed SWAT2000 model development, calibration and validation}, journal = {Journal of Hydrology}, volume = {337}, number = {1-2}, year = {2007}, note = {cited By 108}, pages = {68-86}, doi = {10.1016/j.jhydrol.2007.01.017}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33947576866\&doi=10.1016\%2fj.jhydrol.2007.01.017\&partnerID=40\&md5=43fc27210b0508c4923fbda7d9d20f44}, author = {Tolson, B.A. and Shoemaker, C.A.} } @article {Tolson2007, title = {Dynamically dimensioned search algorithm for computationally efficient watershed model calibration}, journal = {Water Resources Research}, volume = {43}, number = {1}, year = {2007}, note = {cited By 298}, doi = {10.1029/2005WR004723}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847618256\&doi=10.1029\%2f2005WR004723\&partnerID=40\&md5=a9d84e262c74350bbb83fd1b1dde153f}, author = {Tolson, B.A. and Shoemaker, C.A.} } @conference {Shoemaker2007, title = {New dynamically dimensioned search algorithm for automatic calibration with application to phosphorous transport in northeast watershed}, booktitle = {Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006}, year = {2007}, note = {cited By 0}, doi = {10.1061/40856(200)316}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858595384\&doi=10.1061\%2f40856\%28200\%29316\&partnerID=40\&md5=42cb78dac99ceb742d950dad97e96f08}, author = {Shoemaker, C.A. and Tolson, B.} } @conference {Shoemaker2004409, title = {Assessing TMDL{\textquoteright}s and management of phosphorous pollution using data and model for the Cannonsville Watershed, NY}, booktitle = {Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management}, year = {2004}, note = {cited By 0}, pages = {409-418}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-23844455023\&partnerID=40\&md5=68618cf60fa9dfba171b1fab657f3a30}, author = {Shoemaker, C. and Tolson, B.} } @conference {Shoemaker20041768, title = {Automatic calibration and uncertainty analysis of a watershed model}, booktitle = {Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management}, year = {2004}, note = {cited By 0}, pages = {1768-1772}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-23844447099\&partnerID=40\&md5=f3a91e9b074becc1bb4c11ddcc959c90}, author = {Shoemaker, C. and Tolson, B. and Mendez, F.} } @article {Tolson200463, title = {Genetic algorithms for reliability-based optimization of water distribution systems}, journal = {Journal of Water Resources Planning and Management}, volume = {130}, number = {1}, year = {2004}, note = {cited By 158}, pages = {63-72}, doi = {10.1061/(ASCE)0733-9496(2004)130:1(63)}, url = {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}, author = {Tolson, B.A. and Maier, H.R. and Simpson, A.R. and Lence, B.J.} } @conference {Tolson2004, title = {Water distribution network reliability estimation using the First-Order Reliability Method}, booktitle = {Bridging the Gap: Meeting the World{\textquoteright}s Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001}, volume = {111}, year = {2004}, note = {cited By 4}, doi = {10.1061/40569(2001)413}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-75649090841\&doi=10.1061\%2f40569\%282001\%29413\&partnerID=40\&md5=312c929bc19adc93ea9b57168e896af7}, author = {Tolson, B.A. and Maier, H.R. and Simpson, A.R.} } @conference {Tolson20032355, title = {Future Phosphorus Loading to the Cannonsville Reservoir}, booktitle = {World Water and Environmental Resources Congress}, year = {2003}, note = {cited By 1}, pages = {2355-2363}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0942279343\&partnerID=40\&md5=13bf6644f8d19abd396d383ce9f89c34}, author = {Tolson, B.A. and Shoemaker, C.A.} } @article {Maier2001779, title = {First-order reliability method for estimating reliability, vulnerability, and resilience}, journal = {Water Resources Research}, volume = {37}, number = {3}, year = {2001}, note = {cited By 64}, pages = {779-790}, doi = {10.1029/2000WR900329}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034988129\&doi=10.1029\%2f2000WR900329\&partnerID=40\&md5=1fac95b762d00caf40850bdf33ebd3d1}, author = {Maier, H.R. and Lence, B.J. and Tolson, B.A. and Foschi, R.O.} } @article {Vasquez2000954, title = {Achieving water quality system reliability using genetic algorithms}, journal = {Journal of Environmental Engineering}, volume = {126}, number = {10}, year = {2000}, note = {cited By 49}, pages = {954-962}, doi = {10.1061/(ASCE)0733-9372(2000)126:10(954)}, url = {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}, author = {Vasquez, J.A. and Maier, H.R. and Lence, B.J. and Tolson, B.A. and Foschi, R.O.} } @conference {Tolson200039, title = {Genetic algorithms for reliability-based optimization in water quality management}, booktitle = {2000 Annual Conference Abstracts - Canadian Society for Civil Engineering}, year = {2000}, note = {cited By 0}, pages = {39}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-21844467524\&partnerID=40\&md5=f5f221a32119c567eae2b4516c1be11d}, author = {Tolson, B.A. and Lence, B.J.} }