164 citations as recorded by crossref.

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18. Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment J. Exbrayat et al. 10.5194/hess-14-2383-2010
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26. Framework to Study the Effects of Climate Change on Vulnerability of Ecosystems and Societies: Case Study of Nitrates in Drinking Water in Southern Finland K. Rankinen et al. 10.3390/w13040472
27. Using the INCA-Hg model of mercury cycling to simulate total and methyl mercury concentrations in forest streams and catchments M. Futter et al. 10.1016/j.scitotenv.2012.02.048
28. An INCA model for pathogens in rivers and catchments: Model structure, sensitivity analysis and application to the River Thames catchment, UK P. Whitehead et al. 10.1016/j.scitotenv.2016.01.128
29. Field drains as a route of rapid nutrient export from agricultural land receiving biosolids A. Heathwaite et al. 10.1016/j.scitotenv.2006.02.033
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31. Is Biomass Accumulation in Forests an Option to Prevent Climate Change Induced Increases in Nitrate Concentrations in the North German Lowland? S. Fleck et al. 10.3390/f8060219
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33. Bayesian uncertainty assessment of a semi-distributed integrated catchment model of phosphorus transport J. Starrfelt & Ø. Kaste 10.1039/C3EM00619K
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37. Nitrate dynamics in agricultural catchments deduced from groundwater dating and long-term nitrate monitoring in surface‐ and groundwaters L. Aquilina et al. 10.1016/j.scitotenv.2012.06.028
38. Nitrogen sources, processes, and associated impacts of climate and land-use changes in a coastal China watershed: Insights from the INCA-N model A. Ervinia et al. 10.1016/j.marpolbul.2020.111502
39. Assessing the effectiveness of actions to mitigate nutrient loss from agriculture: A review of methods K. Cherry et al. 10.1016/j.scitotenv.2008.07.015
40. Discriminating surface soil inorganic nitrogen cycling under various land uses in a watershed with simulations of energy balanced temperature and slope introduced moisture X. Lin et al. 10.1016/j.jhydrol.2020.124950
41. A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments S. Liu et al. 10.5194/hess-25-2663-2021
42. An elevation-based regional model for interpolating sulphur and nitrogen deposition J. Kopáček et al. 10.1016/j.atmosenv.2011.12.017
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45. What impact might mitigation of diffuse nitrate pollution have on river water quality in a rural catchment? M. Hutchins 10.1016/j.jenvman.2012.04.045
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47. Tidal intrusion within a mega delta: An unstructured grid modelling approach L. Bricheno et al. 10.1016/j.ecss.2016.09.014
48. Upland streamwater nitrate dynamics across decadal to sub-daily timescales: a case study of Plynlimon, Wales S. Halliday et al. 10.5194/bg-10-8013-2013
49. Modelling the effects of climate on long-term patterns of dissolved organic carbon concentrations in the surface waters of a boreal catchment M. Futter et al. 10.5194/hess-12-437-2008
50. The application of Artificial Neural Network (ANN) model to the simulation of denitrification rates in mesocosm-scale wetlands K. Song et al. 10.1016/j.ecoinf.2013.04.002
51. Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN M. Lee et al. 10.5194/bg-11-5809-2014
52. An adaptive design and interpolation technique for extracting highly nonlinear response surfaces from deterministic models D. Shahsavani & A. Grimvall 10.1016/j.ress.2008.10.013
53. 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
54. Dynamic modeling of the Ganga river system: impacts of future climate and socio-economic change on flows and nitrogen fluxes in India and Bangladesh P. Whitehead et al. 10.1039/C4EM00616J
55. Modelling nitrogen in the Yeşilirmak River catchment in Northern Turkey: Impacts of future climate and environmental change and implications for nutrient management M. Hadjikakou et al. 10.1016/j.scitotenv.2011.02.038
56. Impacts of Climate Change and Population Growth on River Nutrient Loads in a Data Scarce Region: The Upper Awash River (Ethiopia) G. Bussi et al. 10.3390/su13031254
57. A review of catchment-scale water quality and erosion models and a synthesis of future prospects B. Fu et al. 10.1016/j.envsoft.2018.12.008
58. N Leaching from Small Upland Headwater Catchments in Southwestern Norway A. Sjøeng et al. 10.1007/s11270-006-9236-5
59. Simulation of nitrogen dynamics in lowland polders using a new coupled modelling approach: Insights into management R. Yan et al. 10.1016/j.jclepro.2021.127753
60. Simulated watershed mercury and nitrate flux responses to multiple land cover conversion scenarios H. Golden & C. Knightes 10.1002/etc.449
61. Simulating high frequency water quality monitoring data using a catchment runoff attenuation flux tool (CRAFT) R. Adams et al. 10.1016/j.scitotenv.2016.01.045
62. Modeling the Stream Water Nitrate Dynamics in a 60,000-km2 European Catchment, the Garonne, Southwest France C. Tisseuil et al. 10.2134/jeq2007.0507
63. Modeling the terrestrial N processes in a small mountain catchment through INCA-N: A case study in Taiwan M. Lu et al. 10.1016/j.scitotenv.2017.03.178
64. The nitrogen cascade from agricultural soils to the sea: modelling nitrogen transfers at regional watershed and global scales G. Billen et al. 10.1098/rstb.2013.0123
65. Steady-state distributed modeling of dissolved oxygen in data-poor, sewage dominated river systems using drainage networks M. Pilotti et al. 10.1016/j.envsoft.2018.08.027
66. How well can we model stream phosphorus concentrations in agricultural catchments? L. Jackson-Blake et al. 10.1016/j.envsoft.2014.11.002
67. In-stream net uptake regulates inorganic nitrogen export from catchments under base flow conditions S. Bernal et al. 10.1029/2012JG001985
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72. Curative vs. preventive management of nitrogen transfers in rural areas: Lessons from the case of the Orgeval watershed (Seine River basin, France) J. Garnier et al. 10.1016/j.jenvman.2014.04.030
73. Modelling Microplastics in the River Thames: Sources, Sinks and Policy Implications P. Whitehead et al. 10.3390/w13060861
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75. A model based on dimensional analysis for prediction of nitrogen and phosphorus concentrations at the river station Ižkovce, Slovakia M. Zeleňáková et al. 10.5194/hess-17-201-2013
76. A New Multibranch Model for Metals in River Systems: Impacts and Control of Tannery Wastes in Bangladesh P. Whitehead et al. 10.3390/su13063556
77. THE SENSITIVITY OF WATER QUALITY IN A RESERVOIR TO SEASONAL CHANGES OF AIR TEMPERATURE H. YAJIMA et al. 10.2208/jscejhe.68.I_1645
78. Modeling future flows of the Volta River system: Impacts of climate change and socio-economic changes L. Jin et al. 10.1016/j.scitotenv.2018.04.350
79. The INCA-Pathogens model: An application to the Loimijoki River basin in Finland K. Rankinen et al. 10.1016/j.scitotenv.2016.05.043
80. Ecological recycling agriculture can reduce inorganic nitrogen losses – model results from three Finnish catchments K. Granlund et al. 10.1016/j.agsy.2014.10.015
81. 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
82. Climate change effects on nitrogen loading from cultivated catchments in Europe: implications for nitrogen retention, ecological state of lakes and adaptation E. Jeppesen et al. 10.1007/s10750-010-0547-6
83. An assessment of the fine sediment dynamics in an upland river system: INCA-Sed modifications and implications for fisheries A. Lazar et al. 10.1016/j.scitotenv.2010.02.030
84. Towards the development of a modeling framework to track nitrogen export from lowland artificial watersheds (polders) J. Huang et al. 10.1016/j.watres.2018.01.011
85. Modeling impacts of climate and land use change on streamflow, nitrate, and ammonium in the Kor River, southwest of Iran A. Vaighan et al. 10.2166/wcc.2018.098
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88. Modelling the non-linear hydrological behaviour of a small Mediterranean forested catchment C. Medici et al. 10.1002/hyp.6991
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90. Effects of climate change and agricultural adaptation on nutrient loading from Finnish catchments to the Baltic Sea I. Huttunen et al. 10.1016/j.scitotenv.2015.05.055
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96. Restoring water quality in the polluted Turag-Tongi-Balu river system, Dhaka: Modelling nutrient and total coliform intervention strategies P. Whitehead et al. 10.1016/j.scitotenv.2018.03.038
97. 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
98. Impacts of climate change and socio-economic scenarios on flow and water quality of the Ganges, Brahmaputra and Meghna (GBM) river systems: low flow and flood statistics P. Whitehead et al. 10.1039/C4EM00619D
99. Linked models to assess the impacts of climate change on nitrogen in a Norwegian river basin and fjord system Ø. Kaste et al. 10.1016/j.scitotenv.2006.02.035
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101. 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
102. Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model, SimplyP, and INCA-P L. Jackson-Blake et al. 10.1002/2016WR020132
103. Eutrophication In Lake Rotorua. 2. Using ROTAN and OVERSEER to model historic, present and future nitrogen loads J. Rutherford et al. 10.1080/00288330.2018.1505643
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111. 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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116. Land Use Change to Reduce Freshwater Nitrogen and Phosphorus will Be Effective Even with Projected Climate Change A. Wade et al. 10.3390/w14050829
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118. 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
119. 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
120. Water quality modelling of the Mekong River basin: Climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta P. Whitehead et al. 10.1016/j.scitotenv.2019.03.315
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132. Climate and land-use change impact on faecal indicator bacteria in a temperate maritime catchment (the River Conwy, Wales) G. Bussi et al. 10.1016/j.jhydrol.2017.08.011
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134. Long-term dynamics of dissolved organic carbon: Implications for drinking water supply J. Ledesma et al. 10.1016/j.scitotenv.2012.05.071
135. A New Fully Distributed Model of Nitrate Transport and Removal at Catchment Scale X. Yang et al. 10.1029/2017WR022380
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137. 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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149. 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
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162. Evaluierung von Nährstoff- bilanzmodellen für die zukünftige Flussgebietsbewirtschaftung M. Rode et al. 10.1007/s35152-018-0031-6
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