104 citations as recorded by crossref.

1. Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge C. Minaudo et al. 10.1002/2017WR020590
2. Detecting dominant changes in irregularly sampled multivariate water quality data sets C. Lehr et al. 10.5194/hess-22-4401-2018
3. Sampling frequency for water quality variables in streams: Systems analysis to quantify minimum monitoring rates N. Chappell et al. 10.1016/j.watres.2017.06.047
4. A Lab-on-Chip Analyzer for in Situ Measurement of Soluble Reactive Phosphate: Improved Phosphate Blue Assay and Application to Fluvial Monitoring G. Clinton-Bailey et al. 10.1021/acs.est.7b01581
5. QUAL-NET, a high temporal-resolution eutrophication model for large hydrographic networks C. Minaudo et al. 10.5194/bg-15-2251-2018
6. Understanding the impact of the changes in weather conditions on surface water quality P. Bhurtun et al. 10.1016/j.scitotenv.2018.10.246
7. High-resolution monitoring of nutrients in groundwater and surface waters: process understanding, quantification of loads and concentrations, and management applications F. van Geer et al. 10.5194/hess-20-3619-2016
8. Land Use Change to Reduce Freshwater Nitrogen and Phosphorus will Be Effective Even with Projected Climate Change A. Wade et al. 10.3390/w14050829
9. Estimating nitrate-nitrogen retention in a large constructed wetland using high-frequency, continuous monitoring and hydrologic modeling C. Drake et al. 10.1016/j.ecoleng.2018.03.014
10. Rain Pattern Deeply Reshaped Total Phosphorus Load Pattern in Watershed: A Case Study from Northern China H. Ding et al. 10.3390/w15162910
11. Citizen-led sampling to monitor phosphate levels in freshwater environments using a simple paper microfluidic device S. Richardson et al. 10.1371/journal.pone.0260102
12. Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration–flow relationships M. Bowes et al. 10.1016/j.scitotenv.2014.12.086
13. Climate change and water in the UK – past changes and future prospects G. Watts et al. 10.1177/0309133314542957
14. In situ Determination of Nitrate and Hydrogen Sulfide in the Baltic Sea Using an Ultraviolet Spectrophotometer D. Meyer et al. 10.3389/fmars.2018.00431
15. Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
16. Combining multi-scale geophysical techniques for robust hydro-structural characterisation in catchments underlain by hard rock in post-glacial regions R. Cassidy et al. 10.1016/j.jhydrol.2014.06.004
17. Predicting nitrate discharge dynamics in mesoscale catchments using the lumped StreamGEM model and Bayesian parameter inference S. Woodward et al. 10.1016/j.jhydrol.2017.07.021
18. Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data J. Sáinz-Pardo Díaz et al. 10.1016/j.watres.2023.120726
19. Recent trends in water quality in an agricultural catchment in Eastern Scotland: elucidating the roles of hydrology and land use S. Dunn et al. 10.1039/c3em00698k
20. Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform M. Bowes et al. 10.5194/essd-10-1637-2018
21. A Virtual Sensing Concept for Nitrogen and Phosphorus Monitoring Using Machine Learning Techniques T. Paepae et al. 10.3390/s22197338
22. Seasonal variability of stream water quality response to storm events captured using high-frequency and multi-parameter data O. Fovet et al. 10.1016/j.jhydrol.2018.02.040
23. Hydrogeophysical investigations for assessment of groundwater aquifer at Wadi El Assuity, Egypt S. Araffa et al. 10.1080/20909977.2024.2402157
24. Estimation of the water quality of a large urbanized river as defined by the European WFD: what is the optimal sampling frequency? L. Vilmin et al. 10.1007/s11356-016-7109-z
25. Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta M. Reljić et al. 10.3390/agriculture13020369
26. Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data M. Bowes et al. 10.1016/j.scitotenv.2016.06.239
27. Identifying seasonal patterns of phosphorus storm dynamics with dynamic time warping R. Dupas et al. 10.1002/2015WR017338
28. Determination of phosphorus in natural waters: A historical review P. Worsfold et al. 10.1016/j.aca.2016.02.047
29. Impact of legacy soil phosphorus on losses in drainage and overland flow from grazed grassland soils R. Cassidy et al. 10.1016/j.scitotenv.2016.07.063
30. High-frequency monitoring reveals nutrient sources and transport processes in an agriculture-dominated lowland water system B. van der Grift et al. 10.5194/hess-20-1851-2016
31. Water quality change of rivers during rainy events in a watershed with different land uses in Southern Brazil R. Girardi et al. 10.1590/2318-0331.011615179
32. The concentration-discharge slope as a tool for water quality management M. Bieroza et al. 10.1016/j.scitotenv.2018.02.256
33. Evaluation of Continuous Monitoring as a Tool for Municipal Stormwater Management Programs W. McDonald et al. 10.1061/JSWBAY.0000842
34. The impacts of biofouling on automated phosphorus analysers during long-term deployment Y. Chen & J. Crossman 10.1016/j.scitotenv.2021.147188
35. Using high-resolution phosphorus data to investigate mitigation measures in headwater river catchments J. Campbell et al. 10.5194/hess-19-453-2015
36. Meroplanktic phytoplankton play a crucial role in responding to peak discharge events in the middle lowland section of the Loire River (France) A. Pannard et al. 10.1007/s10750-023-05420-2
37. Understanding nutrient biogeochemistry in agricultural catchments: the challenge of appropriate monitoring frequencies M. Bieroza et al. 10.1039/C4EM00100A
38. Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI A. Ba-Alawi et al. 10.1016/j.jwpe.2023.103661
39. Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements M. Bieroza et al. 10.1021/acs.est.2c07798
40. Toward an In Situ Phosphate Sensor in Natural Waters Using a Microfluidic Flow Loop Analyzer Y. Chen et al. 10.1149/2.0891814jes
41. Effects of sampling frequency on estimation accuracies of annual loadings for water quality parameters in different sized watersheds L. Gao et al. 10.2166/wqrj.2020.012
42. Understanding the relationship between nutrient availability and freshwater cyanobacterial growth and abundance M. Burford et al. 10.1080/20442041.2023.2204050
43. Nutrient inputs from subarctic rivers into Hudson Bay J. Lee et al. 10.1525/elementa.2021.00085
44. Characteristics of very-large-scale motions in natural rivers based on large eddy simulation Z. Wang et al. 10.1063/5.0202522
45. Winter runoff events pose an unquantified continental-scale risk of high wintertime nutrient export E. Seybold et al. 10.1088/1748-9326/ac8be5
46. Coupling High-Frequency Stream Metabolism and Nutrient Monitoring to Explore Biogeochemical Controls on Downstream Nitrate Delivery H. Jarvie et al. 10.1021/acs.est.8b03074
47. Seasonal variation in phosphorus concentration–discharge hysteresis inferred from high-frequency in situ monitoring M. Bieroza & A. Heathwaite 10.1016/j.jhydrol.2015.02.036
48. Effects of stream nitrate data frequency on watershed model performance and prediction uncertainty S. Jiang et al. 10.1016/j.jhydrol.2018.11.049
49. Determining the Effect of Drying Time on Phosphorus Solubilization from Three Agricultural Soils under Climate Change Scenarios K. Forber et al. 10.2134/jeq2017.04.0144
50. Perspectives on Water Quality Monitoring Approaches for Behavioral Change Research P. Jordan & R. Cassidy 10.3389/frwa.2022.917595
51. Dominant mechanisms for the delivery of fine sediment and phosphorus to fluvial networks draining grassland dominated headwater catchments M. Perks et al. 10.1016/j.scitotenv.2015.03.008
52. Hydrodynamics and phosphorus loading in an urbanized river channel influences response to future managed change: Insights from advection-dispersion modelling M. Borota et al. 10.1016/j.scitotenv.2024.171958
53. Water quality status and trends in agriculture-dominated headwaters; a national monitoring network for assessing the effectiveness of national and European manure legislation in The Netherlands J. Rozemeijer et al. 10.1007/s10661-014-4059-0
54. Identifying Flow Pathways for Phosphorus Transport Using Observed Event Forensics and the CRAFT (Catchment Runoff Attenuation Flux Tool) R. Adams et al. 10.3390/w12041081
55. Riparian shading controls instream spring phytoplankton and benthic algal growth S. Halliday et al. 10.1039/C6EM00179C
56. Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring R. Girardi et al. 10.1590/2318-0331.011616055
57. Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods M. Castrillo & Á. García 10.1016/j.watres.2020.115490
58. Diurnal Patterns in Solute Concentrations Measured with In Situ UV-Vis Sensors: Natural Fluctuations or Artefacts? S. Jacobs et al. 10.3390/s20030859
59. Projections of future deterioration in UK river quality are hampered by climatic uncertainty under extreme conditions M. Hutchins et al. 10.1080/02626667.2016.1177186
60. Using high-frequency phosphorus monitoring for water quality management: a case study of the upper River Itchen, UK G. Fones et al. 10.1007/s10661-020-8138-0
61. Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring T. Paepae et al. 10.3390/s23031061
62. Nitrate uptake in an agricultural stream estimated from high-frequency, in-situ sensors C. Jones et al. 10.1007/s10661-018-6599-1
63. Real-time monitoring of nutrients and dissolved organic matter in rivers: Capturing event dynamics, technological opportunities and future directions P. Blaen et al. 10.1016/j.scitotenv.2016.06.116
64. Unravelling organic matter and nutrient biogeochemistry in groundwater-fed rivers under baseflow conditions: Uncertainty in in situ high-frequency analysis M. Bieroza & A. Heathwaite 10.1016/j.scitotenv.2016.02.046
65. Chlorophyll-a, dissolved organic carbon, turbidity and other variables of ecological importance in river basins in southern Ontario and British Columbia, Canada K. Zolfaghari et al. 10.1007/s10661-019-7800-x
66. Aquatic ecosystem metabolism as a tool in environmental management K. Jankowski et al. 10.1002/wat2.1521
67. Analysis of Hydrochemical and Environmental Conditions of the Right-bank Tributaries of the Mezen River N. Klimovskii et al. 10.3103/S1068373922110097
68. Real-time monitoring of water quality to identify pollution pathways in small and middle scale rivers A. Meyer et al. 10.1016/j.scitotenv.2018.10.069
69. Iowa Statewide Stream Nitrate Load Calculated Using In Situ Sensor Network C. Jones et al. 10.1111/1752-1688.12618
70. Field and Laboratory Tests of Flow-Proportional Passive Samplers for Determining Average Phosphorus and Nitrogen Concentration in Rivers P. Jordan et al. 10.1021/es304108e
71. The application of high temporal resolution data in river catchment modelling and management strategies L. Crockford et al. 10.1007/s10661-017-6174-1
72. Monitoring the riverine pulse: Applying high‐frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes D. Burns et al. 10.1002/wat2.1348
73. Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction S. Jomaa et al. 10.1007/s10661-018-6700-9
74. Disentangling the influence of hydroclimatic patterns and agricultural management on river nitrate dynamics from sub-hourly to decadal time scales R. Dupas et al. 10.1016/j.scitotenv.2016.07.053
75. A Droplet Microfluidic-Based Sensor for Simultaneous in Situ Monitoring of Nitrate and Nitrite in Natural Waters A. Nightingale et al. 10.1021/acs.est.9b01032
76. High‐frequency monitoring of catchment nutrient exports reveals highly variable storm event responses and dynamic source zone activation P. Blaen et al. 10.1002/2017JG003904
77. Technical Note: Field experiences using UV/VIS sensors for high-resolution monitoring of nitrate in groundwater M. Huebsch et al. 10.5194/hess-19-1589-2015
78. Using high-frequency water quality data to assess sampling strategies for the EU Water Framework Directive R. Skeffington et al. 10.5194/hess-19-2491-2015
79. High-frequency monitoring of nitrogen and phosphorus response in three rural catchments to the end of the 2011–2012 drought in England F. Outram et al. 10.5194/hess-18-3429-2014
80. Changing climate and nutrient transfers: Evidence from high temporal resolution concentration-flow dynamics in headwater catchments M. Ockenden et al. 10.1016/j.scitotenv.2015.12.086
81. The Water Quality of the River Enborne, UK: Observations from High-Frequency Monitoring in a Rural, Lowland River System S. Halliday et al. 10.3390/w6010150
82. The implications of climate change for the water environment in England N. Arnell et al. 10.1177/0309133314560369
83. Understanding links between water-quality variables and nitrate concentration in freshwater streams using high frequency sensor data C. Kermorvant et al. 10.1371/journal.pone.0287640
84. High frequency variability of environmental drivers determining benthic community dynamics in headwater streams M. Snell et al. 10.1039/C3EM00680H
85. The Catchment Runoff Attenuation Flux Tool, a minimum information requirement nutrient pollution model R. Adams et al. 10.5194/hess-19-1641-2015
86. 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
87. Decomposing the Bulk Electrical Conductivity of Streamflow To Recover Individual Solute Concentrations at High Frequency P. Benettin & B. van Breukelen 10.1021/acs.estlett.7b00472
88. Sensors in the Stream: The High-Frequency Wave of the Present M. Rode et al. 10.1021/acs.est.6b02155
89. Small villages and their sanitary infrastructure—an unnoticed influence on water quantity and a threat to water quality in headwater catchments C. Spill et al. 10.1007/s10661-023-12051-6
90. Interpretation of river water quality data is strongly controlled by measurement time and frequency I. Elfferich et al. 10.1016/j.scitotenv.2024.176626
91. Downstream evolution of wastewater treatment plant nutrient signals using high‐temporal monitoring S. Ledford & L. Toran 10.1002/hyp.13640
92. End-user perspective of low-cost sensors for urban stormwater monitoring: a review Q. Zhu et al. 10.2166/wst.2023.142
93. High‐frequency water quality monitoring in an urban catchment: hydrochemical dynamics, primary production and implications for the Water Framework Directive S. Halliday et al. 10.1002/hyp.10453
94. Continuous field estimation of dissolved organic carbon concentration and biochemical oxygen demand using dual‐wavelength fluorescence, turbidity and temperature K. Khamis et al. 10.1002/hyp.11040
95. Dissolved oxygen and water temperature dynamics in lowland rivers over various timescales A. Rajwa-Kuligiewicz et al. 10.1515/johh-2015-0041
96. A post-event stratified random sampling scheme for monitoring event-based water quality using an automatic sampler J. Lessels & T. Bishop 10.1016/j.jhydrol.2018.12.063
97. A novel assessment considering spatial and temporal variations of water quality to identify pollution sources in urban rivers S. Yang et al. 10.1038/s41598-021-87671-4
98. Design and development of a low-cost automatic runoff sampler for time distributed sampling G. Kumar et al. 10.1016/j.jhydrol.2020.125845
99. Groundwater impacts on surface water quality and nutrient loads in lowland polder catchments: monitoring the greater Amsterdam area L. Yu et al. 10.5194/hess-22-487-2018
100. Nitrate transport and supply limitations quantified using high-frequency stream monitoring and turning point analysis C. Jones et al. 10.1016/j.jhydrol.2017.04.041
101. Uncertainties in estimated phosphorus loads as a function of different sampling frequencies and common calculation methods L. Defew et al. 10.1071/MF12097
102. Seasonal variation in phosphorus concentration–discharge hysteresis inferred from high-frequency in situ monitoring M. Bieroza & A. Heathwaite 10.1016/j.jhydrol.2015.02.036
103. Climate change and coupling of macronutrient cycles along the atmospheric, terrestrial, freshwater and estuarine continuum H. Jarvie et al. 10.1016/j.scitotenv.2012.07.051
104. Understanding nutrient biogeochemistry in agricultural catchments: the challenge of appropriate monitoring frequencies M. Bieroza et al. 10.1039/C4EM00100A