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44. A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers A. Neumann et al. 10.1139/er-2020-0070
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53. Can a simple water quality model effectively estimate runoff-driven nutrient loads to estuarine systems? A national-scale comparison of STEPLgrid and SPARROW L. Montefiore & N. Nelson 10.1016/j.envsoft.2022.105344
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55. Synthesizing models useful for ecohydrology and ecohydraulic approaches: An emphasis on integrating models to address complex research questions S. Brewer et al. 10.1002/eco.1966
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58. Projections of salt intrusion in a mega-delta under climatic and anthropogenic stressors S. Eslami et al. 10.1038/s43247-021-00208-5
59. Simulating climate change and socio-economic change impacts on flows and water quality in the Mahanadi River system, India L. Jin et al. 10.1016/j.scitotenv.2018.04.349
60. Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain) C. Puertes et al. 10.1016/j.agsy.2020.103029
61. Dynamic modelling of multiple phytoplankton groups in rivers with an application to the Thames river system in the UK P. Whitehead et al. 10.1016/j.envsoft.2015.09.010
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63. Rapid development of fast and flexible environmental models: the Mobius framework v1.0 M. Norling et al. 10.5194/gmd-14-1885-2021
64. Water quality assessment and catchment-scale nutrient flux modeling in the Ramganga River Basin in north India: An application of INCA model D. Pathak et al. 10.1016/j.scitotenv.2018.03.022
65. Land Use Change to Reduce Freshwater Nitrogen and Phosphorus will Be Effective Even with Projected Climate Change A. Wade et al. 10.3390/w14050829
66. Nitrogen in river basins: Sources, retention in the surface waters and peatlands, and fluxes to estuaries in Finland A. Lepistö et al. 10.1016/j.scitotenv.2006.02.053
67. Improving Urban Runoff in Multi-Basin Hydrological Simulation by the HYPE Model Using EEA Urban Atlas: A Case Study in the Sege River Basin, Sweden H. Tanouchi et al. 10.3390/hydrology6010028
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75. Planning and Evaluating Nature-Based Solutions for Watershed Investment Programs with a SMART Perspective Using a Distributed Modeling Tool M. Jiménez et al. 10.3390/w15193388
76. Over-parameterised, uncertain ‘mathematical marionettes’ — How can we best use catchment water quality models? An example of an 80-year catchment-scale nutrient balance A. Wade et al. 10.1016/j.scitotenv.2008.04.030
77. Nitrate as a predictor of cyanobacteria biomass in eutrophic lakes in a climate change context F. Cremona et al. 10.1016/j.scitotenv.2021.151807
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81. Predicting dissolved inorganic nitrogen leaching in European forests using two independent databases N. Dise et al. 10.1016/j.scitotenv.2008.11.003
82. Modelling heavy metals in the Buriganga River System, Dhaka, Bangladesh: Impacts of tannery pollution control P. Whitehead et al. 10.1016/j.scitotenv.2019.134090
83. The value of instream stable water isotope and nitrate concentration data for calibrating a travel time‐based water quality model A. Borriero et al. 10.1002/hyp.15154
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120. Assessment of potential suspended sediment yield in Japan in the 21st century with reference to the general circulation model climate change scenarios G. Mouri et al. 10.1016/j.gloplacha.2013.01.002
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