183 citations as recorded by crossref.

1. Seasonal and interannual behaviour of groundwater catchment boundaries in a Chalk aquifer S. Parker et al. 10.1002/hyp.10540
2. Modelling nitrogen fluxes from the land to the coastal zone in European systems: a perspective from the INCA project A. Wade et al. 10.1016/j.jhydrol.2004.07.041
3. Monitoring and modelling the impacts of global change on European freshwater ecosystems A. Wade 10.1016/j.scitotenv.2006.02.054
4. A model-based assessment of the effects of projected climate change on the water resources of Jordan A. Wade et al. 10.1098/rsta.2010.0207
5. Modeling the mechanisms that control in‐stream dissolved organic carbon dynamics in upland and forested catchments M. Futter et al. 10.1029/2006WR004960
6. Characterizing the impacts of macrophyte-dominated ponds on nitrogen sources and sinks by coupling multiscale models Z. Cui et al. 10.1016/j.scitotenv.2021.152208
7. A National-Scale Nutrient Loading Model for Finnish Watersheds—VEMALA I. Huttunen et al. 10.1007/s10666-015-9470-6
8. Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment J. Exbrayat et al. 10.5194/hess-14-2383-2010
9. Modeling nitrogen export from 2539 lowland artificial watersheds in Lake Taihu Basin, China: Insights from process-based modeling J. Huang et al. 10.1016/j.jhydrol.2019.124428
10. Advances in the simulation of nutrient dynamics in cold climate agricultural basins: Developing new nitrogen and phosphorus modules for the Cold Regions Hydrological Modelling Platform D. Costa et al. 10.1016/j.jhydrol.2021.126901
11. Modelling the effects of climate and land-use change on the hydrochemistry and ecology of the River Wye (Wales) G. Bussi et al. 10.1016/j.scitotenv.2018.01.295
12. Pulling the rabbit out of the hat: Unravelling hidden nitrogen legacies in catchment‐scale water quality models S. Lutz et al. 10.1002/hyp.14682
13. Predicting Dynamic Riverine Nitrogen Export in Unmonitored Watersheds: Leveraging Insights of AI from Data-Rich Regions R. Xiong et al. 10.1021/acs.est.2c02232
14. Modelling the inorganic nitrogen behaviour in a small Mediterranean forested catchment, Fuirosos (Catalonia) C. Medici et al. 10.5194/hess-14-223-2010
15. 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
16. 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
17. A review on modelling forest biogeochemistry and the coupled forest – soil interactions in a changing world F. Sauke et al. 10.1016/j.envsoft.2025.106381
18. 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
19. Linking global terrestrial and ocean biogeochemistry with process-based, coupled freshwater algae–nutrient–solid dynamics in LM3-FANSY v1.0 M. Lee et al. 10.5194/gmd-17-5191-2024
20. Impacts and adaptation options of climate change on ecosystem services in Finland: a model based study M. Forsius et al. 10.1016/j.cosust.2013.01.001
21. Towards an improved understanding of biogeochemical processes across surface-groundwater interactions in intermittent rivers and ephemeral streams L. Gómez-Gener et al. 10.1016/j.earscirev.2021.103724
22. Assessing the model performance of an integrated hydrological and biogeochemical model for discharge and nitrate load predictions T. Pohlert et al. 10.5194/hess-11-997-2007
23. 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
24. 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
25. 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
26. Impacts of droughts on low flows and water quality near power stations G. Bussi & P. Whitehead 10.1080/02626667.2020.1724295
27. Assessing ammonium pollution and mitigation measures through a modified watershed non-point source model F. Han et al. 10.1016/j.watres.2024.121372
28. Can created tidal marshes reduce nitrate export to downstream estuaries? J. Etheridge et al. 10.1016/j.ecoleng.2017.05.009
29. How Do River Nitrate Concentrations Respond to Changes in Land-use? A Modelling Case Study of Headwaters in the River Derwent Catchment, North Yorkshire, UK M. Hutchins et al. 10.1007/s10666-009-9218-2
30. Tidal intrusion within a mega delta: An unstructured grid modelling approach L. Bricheno et al. 10.1016/j.ecss.2016.09.014
31. 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
32. 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
33. Idrijca and Soča/Isonzo river discharges estimation for modelling mercury pollution M. Škerjanec et al. 10.15292/acta.hydro.2024.09
34. 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
35. 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
36. 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
37. 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
38. 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
39. N Leaching from Small Upland Headwater Catchments in Southwestern Norway A. Sjøeng et al. 10.1007/s11270-006-9236-5
40. Simulated watershed mercury and nitrate flux responses to multiple land cover conversion scenarios H. Golden & C. Knightes 10.1002/etc.449
41. 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
42. Using long time series of agricultural-derived nitrates for estimating catchment transit times O. Fovet et al. 10.1016/j.jhydrol.2015.01.030
43. A review of the potential impacts of climate change on surface water quality P. WHITEHEAD et al. 10.1623/hysj.54.1.101
44. 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
45. A New Multibranch Model for Metals in River Systems: Impacts and Control of Tannery Wastes in Bangladesh P. Whitehead et al. 10.3390/su13063556
46. Nutrient loading and stream order shape benthic and pelagic spring algal biomass in a large, temperate river basin (Elbe River) N. Heinemann et al. 10.1016/j.jenvman.2025.125440
47. 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
48. 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
49. 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
50. Using process-based models to filter out natural variability in observed concentrations of nitrogen and phosphorus in river water A. Grimvall et al. 10.1007/s10661-014-3765-y
51. Exploring the Role of Weather and Forest Management on Nutrient Export in Boreal Forested Catchments Using Spatially Distributed Model A. Salmivaara et al. 10.3390/f14010089
52. Nitrate transport in Chalk catchments: monitoring, modelling and policy implications B. Jackson et al. 10.1016/j.envsci.2007.10.006
53. Dynamic response of land use and river nutrient concentration to long-term climatic changes G. Bussi et al. 10.1016/j.scitotenv.2017.03.069
54. Variance-based sensitivity analysis of model outputs using surrogate models D. Shahsavani & A. Grimvall 10.1016/j.envsoft.2011.01.002
55. Solute transfer in the unsaturated zone-groundwater continuum of a headwater catchment C. Legout et al. 10.1016/j.jhydrol.2006.07.017
56. 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
57. Catchment‐scale sensitivity and uncertainty in water quality modelling B. Hankin et al. 10.1002/hyp.10976
58. 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
59. Management tools for the river‐aquifer interface J. Tellam & D. Lerner 10.1002/hyp.7243
60. Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling X. Yang et al. 10.1029/2019WR025575
61. Projections of salt intrusion in a mega-delta under climatic and anthropogenic stressors S. Eslami et al. 10.1038/s43247-021-00208-5
62. 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
63. 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
64. 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
65. The INtegrated CAtchment model of phosphorus dynamics (INCA-P): Description and demonstration of new model structure and equations L. Jackson-Blake et al. 10.1016/j.envsoft.2016.05.022
66. Evaluation of the performance and complexity of water quality models for peatlands E. Opoku-Agyemang et al. 10.1016/j.jhydrol.2024.132421
67. Rapid development of fast and flexible environmental models: the Mobius framework v1.0 M. Norling et al. 10.5194/gmd-14-1885-2021
68. 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
69. Land Use Change to Reduce Freshwater Nitrogen and Phosphorus will Be Effective Even with Projected Climate Change A. Wade et al. 10.3390/w14050829
70. 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
71. 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
72. Simulation of Nitrogen Dynamics and Fluxes in Contrasting Catchments in Norway by Applying the Integrated Nitrogen Model for Catchments (INCA) Ø. Kaste 10.1023/B:WAFO.0000028347.99606.08
73. Assessing Heavy Metal Contamination Using Biosensors and a Multi-Branch Integrated Catchment Model in the Awash River Basin, Ethiopia L. Jin et al. 10.3390/w15234073
74. Current concepts in nitrogen dynamics for mesoscale catchments L. BREUER et al. 10.1623/hysj.53.5.1059
75. An integrated watershed-scale framework to model nitrogen transport and transformations H. Qiu et al. 10.1016/j.scitotenv.2023.163348
76. Evaluation of the Current State of Distributed Watershed Nutrient Water Quality Modeling C. Wellen et al. 10.1021/es5049557
77. PERSiST: a flexible rainfall-runoff modelling toolkit for use with the INCA family of models M. Futter et al. 10.5194/hess-18-855-2014
78. Multibranch Modelling of Flow and Water Quality in the Dhaka River System, Bangladesh: Impacts of Future Development Plans and Climate Change G. Bussi et al. 10.3390/w15173027
79. Long-term dynamics of dissolved organic carbon: Implications for drinking water supply J. Ledesma et al. 10.1016/j.scitotenv.2012.05.071
80. 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
81. 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
82. 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
83. Modelling nitrogen transformations in waters receiving mine effluents S. Chlot et al. 10.1016/j.scitotenv.2011.07.024
84. Modelling of the Discharge Response to Climate Change under RCP8.5 Scenario in the Alata River Basin (Mersin, SE Turkey) Ü. Yıldırım et al. 10.3390/w13040483
85. Development and application of a nitrogen simulation model in a data scarce catchment in South China G. Zhao et al. 10.1016/j.agwat.2010.10.022
86. Predicting dissolved inorganic nitrogen leaching in European forests using two independent databases N. Dise et al. 10.1016/j.scitotenv.2008.11.003
87. 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
88. 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
89. An interdisciplinary modelling approach assessing the cost-effectiveness of agri-environmental measures on reducing nutrient concentration to WFD thresholds under climate change: the case of the Louros catchment D. Skuras et al. 10.1007/s12351-014-0158-5
90. Trends in Water Quality in Laborec River, Slovakia M. Zeleňáková et al. 10.1016/j.proeng.2015.08.967
91. Mathematical model to identify nitrogen variability in large rivers E. Ani et al. 10.1002/rra.1418
92. Functional Multi‐Scale Integration of Agricultural Nitrogen‐Budgets Into Catchment Water Quality Modeling X. Yang et al. 10.1029/2021GL096833
93. Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective A. Janssen et al. 10.1007/s10452-015-9544-1
94. Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
95. Capability and limitations of a simple grid-based model for simulating land use influences on stream nitrate concentrations S. Dunn et al. 10.1016/j.jhydrol.2013.10.016
96. Impact of dams and climate change on suspended sediment flux to the Mekong delta G. Bussi et al. 10.1016/j.scitotenv.2020.142468
97. A multi-scale framework for strategic management of diffuse pollution C. Hewett et al. 10.1016/j.envsoft.2008.05.006
98. Evaluierung von Nährstoff- bilanzmodellen für die zukünftige Flussgebietsbewirtschaftung M. Rode et al. 10.1007/s35152-018-0031-6
99. Modelling spatial dynamics of cropping systems to assess agricultural practices at the catchment scale J. Salmon-Monviola et al. 10.1016/j.compag.2011.10.020
100. Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change R. Cakir et al. 10.3390/w12010115
101. Toward more mechanistic representations of biogeochemical processes in river networks: Implementation and demonstration of a multiscale model A. Jan et al. 10.1016/j.envsoft.2021.105166
102. Land use, water management and future flood risk H. Wheater & E. Evans 10.1016/j.landusepol.2009.08.019
103. Nutrient Load Mitigation with Wintertime Cover as Estimated by the INCA Model K. Rankinen et al. 10.3390/w13040450
104. Using land-use management policies to reduce the environmental impacts of livestock farming G. Mouri & N. Aisaki 10.1016/j.ecocom.2015.03.003
105. Impacts of climate change on in-stream nitrogen in a lowland chalk stream: An appraisal of adaptation strategies P. Whitehead et al. 10.1016/j.scitotenv.2006.02.040
106. Mainstreaming ecosystem services into EU policy J. Maes et al. 10.1016/j.cosust.2013.01.002
107. A simple model of variable residence time flow and nutrient transport in the chalk B. Jackson et al. 10.1016/j.jhydrol.2006.04.045
108. Controlling nitrate pollution: An integrated approach L. O’Shea & A. Wade 10.1016/j.landusepol.2008.10.017
109. Modelling flow and inorganic nitrogen dynamics on the Hampshire Avon: Linking upstream processes to downstream water quality L. Jin et al. 10.1016/j.scitotenv.2016.02.156
110. Bridging mapping and simulation modelling in the ecosystem service assessments of boreal forests: effects of bioenergy production on carbon dynamics A. Akujärvi et al. 10.1186/s40663-021-00283-2
111. Forms and subannual variability of nitrogen and phosphorus loading to global river networks over the 20th century L. Vilmin et al. 10.1016/j.gloplacha.2018.02.007
112. Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis S. Jiang et al. 10.1016/j.jhydrol.2015.09.009
113. 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
114. Integrated Nitrogen and Flow Modelling (INCA) in a Boreal River Basin Dominated by Forestry: Scenarios of Environmental Change K. Rankinen et al. 10.1023/B:WAFO.0000028352.88480.6a
115. 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
116. Modelling impacts of climate change and socio-economic change on the Ganga, Brahmaputra, Meghna, Hooghly and Mahanadi river systems in India and Bangladesh P. Whitehead et al. 10.1016/j.scitotenv.2018.04.362
117. Bayesian uncertainty assessment of a semi-distributed integrated catchment model of phosphorus transport J. Starrfelt & Ø. Kaste 10.1039/C3EM00619K
118. Natural and anthropogenic sources of salinity in the Awash River and Lake Beseka (Ethiopia): Modelling impacts of climate change and lake-river interactions L. Jin et al. 10.1016/j.ejrh.2021.100865
119. Real-time water quality forecasting in rivers using satellite data and dynamic models: an online system for operational management, control and citizen science P. Whitehead et al. 10.3389/fenvs.2024.1331783
120. 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
121. 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
122. An elevation-based regional model for interpolating sulphur and nitrogen deposition J. Kopáček et al. 10.1016/j.atmosenv.2011.12.017
123. 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
124. 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
125. 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
126. 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
127. 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
128. 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
129. 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
130. 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
131. 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
132. How well can we model stream phosphorus concentrations in agricultural catchments? L. Jackson-Blake et al. 10.1016/j.envsoft.2014.11.002
133. Adapting HYDRUS‐1D to Simulate Overland Flow and Reactive Transport during Sheet Flow Deviations J. Liang et al. 10.2136/vzj2016.11.0113
134. An application of the GLUE methodology for estimating the parameters of the INCA-N model K. Rankinen et al. 10.1016/j.scitotenv.2006.02.034
135. 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
136. Modelling Microplastics in the River Thames: Sources, Sinks and Policy Implications P. Whitehead et al. 10.3390/w13060861
137. Green infrastructure and climate change impacts on the flows and water quality of urban catchments: Salmons Brook and Pymmes Brook in north-east London G. Bussi et al. 10.2166/nh.2022.013
138. Towards an improved understanding of the nitrate dynamics in lowland, permeable river-systems: Applications of INCA-N A. Wade et al. 10.1016/j.jhydrol.2006.04.023
139. THE SENSITIVITY OF WATER QUALITY IN A RESERVOIR TO SEASONAL CHANGES OF AIR TEMPERATURE H. YAJIMA et al. 10.2208/jscejhe.68.I_1645
140. 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
141. The INCA-Pathogens model: An application to the Loimijoki River basin in Finland K. Rankinen et al. 10.1016/j.scitotenv.2016.05.043
142. 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
143. 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
144. 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
145. Saline intrusion in the Ganges-Brahmaputra-Meghna megadelta L. Bricheno et al. 10.1016/j.ecss.2021.107246
146. Modelling the non‐linear hydrological behaviour of a small Mediterranean forested catchment C. Medici et al. 10.1002/hyp.6991
147. 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
148. Soil erosion and phosphorus losses under variable land use as simulated by the INCA‐P model C. Farkas et al. 10.1111/j.1475-2743.2012.00430.x
149. 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
150. 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
151. 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
152. Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model,SimplyP, andINCA‐P L. Jackson‐Blake et al. 10.1002/2016WR020132
153. 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
154. Modelling water, nutrients, and organic carbon in forested catchments: a HYPE application C. Pers et al. 10.1002/hyp.10830
155. Modelling the future impacts of climate and land-use change on suspended sediment transport in the River Thames (UK) G. Bussi et al. 10.1016/j.jhydrol.2016.09.010
156. Assessment of Risks to Public Water Supply From Low Flows and Harmful Water Quality in a Changing Climate M. Mortazavi‐Naeini et al. 10.1029/2018WR022865
157. Water quality of treated sewage effluent in a rural area of the upper Thames Basin, southern England, and the impacts of such effluents on riverine phosphorus concentrations C. Neal et al. 10.1016/j.jhydrol.2004.07.025
158. 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
159. Nutrient dynamics in European water systems – the management perspective emerging from ELOISE, a European cluster of Land – Ocean interaction studies V. Escaravage et al. 10.1080/15693430600659113
160. MODELING DENITRIFICATION IN TERRESTRIAL AND AQUATIC ECOSYSTEMS AT REGIONAL SCALES E. Boyer et al. 10.1890/1051-0761(2006)016[2123:MDITAA]2.0.CO;2
161. Atmospheric pollution histories of three Cumbrian surface waters E. TIPPING & J. CHAPLOW 10.1111/j.1365-2427.2011.02617.x
162. Catchment effects of a future Nordic bioeconomy: From land use to water resources E. Skarbøvik et al. 10.1007/s13280-020-01391-z
163. Biogeochemical hotspots: Role of small water bodies in landscape nutrient processing F. Cheng & N. Basu 10.1002/2016WR020102
164. Information synthesis to identify water quality issues and select applicable in-stream water quality model for the Awash River basin in Ethiopia: A perspective from developing countries E. Zinabu et al. 10.1016/j.sciaf.2024.e02063
165. Estimation of Nitrogen Load with Multi-pollution Sources Using the SWAT Model: a Case Study in the Cau River Basin in Northern Vietnam V. Tran et al. 10.2965/jwet.16-052
166. Disentangling the Influence of Landscape Characteristics, Hydroclimatic Variability and Land Management on Surface Water NO3‐N Dynamics: Spatially Distributed Modeling Over 30 yr in a Lowland Mixed Land Use Catchment S. Wu et al. 10.1029/2021WR030566
167. A hillslope-scale aquifer-model to determine past agricultural legacy and future nitrate concentrations in rivers L. Guillaumot et al. 10.1016/j.scitotenv.2021.149216
168. 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
169. Application of catchment scale sediment delivery model INCA-Sed to four small study catchments in Finland K. Rankinen et al. 10.1016/j.catena.2010.07.005
170. A New Fully Distributed Model of Nitrate Transport and Removal at Catchment Scale X. Yang et al. 10.1029/2017WR022380
171. Integrated Nitrogen Modeling in a Boreal Forestry Dominated River Basin: N Fluxes and Retention in Lakes and Peatlands A. Lepistö et al. 10.1023/B:WAFO.0000028349.82505.39
172. Catchment-scale modelling of flow and nutrient transport in the Chalk unsaturated zone B. Jackson et al. 10.1016/j.ecolmodel.2007.07.005
173. Relative Magnitude and Controls of in Situ N2 and N2O Fluxes due to Denitrification in Natural and Seminatural Terrestrial Ecosystems Using 15N Tracers F. Sgouridis & S. Ullah 10.1021/acs.est.5b03513
174. Integrating watershed and ecosystem service models to assess best management practice efficiency: guidelines for Lake Erie managers and watershed modellers C. Arnillas et al. 10.1139/er-2020-0071
175. Sensitivity analysis of a catchment-scale nitrogen model N. McIntyre et al. 10.1016/j.jhydrol.2005.04.010
176. Mitigating Soil Erosion Caused by Artificial Disturbances in Hilly Lake Environs: Scenario Approach to LID Planning T. Yang et al. 10.1061/JSWBAY.0000839
177. Modelling nutrient dynamics in cold agricultural catchments: A review D. Costa et al. 10.1016/j.envsoft.2019.104586
178. A cost-effectiveness analysis of water security and water quality: impacts of climate and land-use change on the River Thames system P. Whitehead et al. 10.1098/rsta.2012.0413
179. Assessment of soil-groundwater nitrogen cycling processes in the agricultural region through flux model, stable isotope Y. Deng et al. 10.1016/j.jhydrol.2024.131604
180. Modeling geogenic and atmospheric nitrogen through the East River Watershed, Colorado Rocky Mountains T. Maavara et al. 10.1371/journal.pone.0247907
181. Modeling continental US stream water quality using long-short term memory and weighted regressions on time, discharge, and season K. Fang et al. 10.3389/frwa.2024.1456647
182. Integrated modelling of climate change impacts on water resources and quality in a lowland catchment: River Kennet, UK R. Wilby et al. 10.1016/j.jhydrol.2006.04.033
183. Technical Note: Alternative in-stream denitrification equation for the INCA-N model J. Etheridge et al. 10.5194/hess-18-1467-2014