70 citations as recorded by crossref.

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2. The ebb and flow of protons: A novel approach for the assessment of estuarine and coastal acidification D. Pettay et al. 10.1016/j.ecss.2020.106627
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4. Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements M. Bieroza et al. 10.1021/acs.est.2c07798
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8. Benchmarking inference methods for water quality monitoring and status classification H. Jung et al. 10.1007/s10661-020-8223-4
9. The ‘dirty dozen’ of freshwater science: detecting then reconciling hydrological data biases and errors R. Wilby et al. 10.1002/wat2.1209
10. Estimation of long-term series of total nutrient loads flowing into a large perialpine lake (Lake Como, Northern Italy) from incomplete discrete data by governmental monitoring A. Fenocchi et al. 10.1016/j.ecolind.2023.110534
11. Impacts of sampling frequency on the estimation accuracy of exceedance for suspended solids and nitrates in streams in small to medium-sized watersheds J. Qi et al. 10.1016/j.hydroa.2022.100139
12. The effect of sampling frequency and strategy on water quality modelling driven by high-frequency monitoring data in a boreal catchment M. Piniewski et al. 10.1016/j.jhydrol.2019.124186
13. High Expectations and Open Questions: Using High-Frequency Proxy Data to Calibrate a Catchment-Scale Phosphorus Model E. Lannergård et al. 10.1021/acsestwater.3c00775
14. Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction S. Jomaa et al. 10.1007/s10661-018-6700-9
15. Nutrient and microbial water quality of the upper Ganga River, India: identification of pollution sources M. Bowes et al. 10.1007/s10661-020-08456-2
16. Enhancing water management in Northern European lowland chalk streams: A parsimonious, high-resolution hydrological model using groundwater level as a proxy for baseflow T. Homan et al. 10.1016/j.ejrh.2024.102022
17. Do current European lake monitoring programmes reliably estimate phytoplankton community changes? V. Bergkemper & T. Weisse 10.1007/s10750-017-3426-6
18. Stability of spatial patterns in water chemistry across temperate ecoregions R. Dupas et al. 10.1088/1748-9326/ab24f4
19. Large spatiotemporal variability in metabolic regimes for an urban stream draining four wastewater treatment plants with implications for dissolved oxygen monitoring S. Ledford et al. 10.1371/journal.pone.0256292
20. Linking environmental with biological data: Low sampling frequencies of chemical pollutants and nutrients in rivers reduce the reliability of model results D. Babitsch et al. 10.1016/j.scitotenv.2021.145498
21. Modeling Water Quality in Watersheds: From Here to the Next Generation B. Fu et al. 10.1029/2020WR027721
22. Analysis of Changes in the Quality of Surface Water after Filling of Hydroelectric Reservoirs in the Amazon, Brazil M. Coura et al. 10.1007/s40710-021-00508-0
23. Determining suspended solids and total phosphorus from turbidity: comparison of high-frequency sampling with conventional monitoring methods A. Villa et al. 10.1007/s10661-019-7775-7
24. High-frequency monitoring through in-situ fluorometric sensors: A supporting tool to long-term ecological research on lakes M. Rogora et al. 10.3389/fenvs.2022.1058515
25. Intensive short-term sampling with long-term consequences: characterizing pollutant transport with implications for developing monitoring E. Anderson & K. Schilling 10.1007/s10661-024-13266-x
26. Hydrological data uncertainty and its implications H. McMillan et al. 10.1002/wat2.1319
27. Bayesian inference of uncertainty in freshwater quality caused by low-resolution monitoring T. Krueger 10.1016/j.watres.2017.02.061
28. 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
29. Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta M. Reljić et al. 10.3390/agriculture13020369
30. Catchment‐scale sensitivity and uncertainty in water quality modelling B. Hankin et al. 10.1002/hyp.10976
31. Reconstruction of Sparse Stream Flow and Concentration Time‐Series Through Compressed Sensing K. Zhang et al. 10.1029/2022GL101177
32. Chemical surveillance in freshwaters: small sample sizes underestimate true pollutant loads and fail to detect environmental quality standard exceedances D. Babitsch & A. Sundermann 10.1186/s12302-019-0285-y
33. 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
34. Effects of multiple stressors on benthic invertebrates using Water Framework Directive monitoring data S. Heß et al. 10.1016/j.scitotenv.2023.162952
35. Distribution of Landscape Units Within Catchments Influences Nutrient Export Dynamics R. Dupas et al. 10.3389/fenvs.2019.00043
36. Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random Forest M. Arhab & J. Huang 10.3390/s23136057
37. Automatic real-time uncertainty estimation for online measurements: a case study on water turbidity J. Kahiluoto et al. 10.1007/s10661-019-7374-7
38. Sources and Mechanisms of Low-Flow River Phosphorus Elevations: A Repeated Synoptic Survey Approach S. Vero et al. 10.3390/w11071497
39. Water Quality Sampling Frequency Analysis of Surface Freshwater: A Case Study on Bristol Floating Harbour E. Coraggio et al. 10.3389/frsc.2021.791595
40. Water quality assessment of a small peri-urban river using low and high frequency monitoring A. Ivanovsky et al. 10.1039/C5EM00659G
41. Sensors in the Stream: The High-Frequency Wave of the Present M. Rode et al. 10.1021/acs.est.6b02155
42. Assessments of Composite and Discrete Sampling Approaches for Water Quality Monitoring R. Cassidy et al. 10.1007/s11269-018-1978-5
43. Evaluating Monitoring Strategies to Detect Precipitation-Induced Microbial Contamination Events in Karstic Springs Used for Drinking Water M. Besmer et al. 10.3389/fmicb.2017.02229
44. Influence of temperature, precipitation, and cloud cover on diel dissolved oxygen ranges among headwater streams with variable watershed size and land use attributes R. Utz et al. 10.1007/s00027-020-00756-6
45. Hydrogeological and isotope mapping of the karstic River Savica in NW Slovenia M. Brenčič & P. Vreča 10.1007/s12665-016-5479-7
46. Can Short-Term Online-Monitoring Improve the Current WFD Water Quality Assessment Regime? Systematic Resampling of High-Resolution Data from Four Saxon Catchments J. Benisch et al. 10.3390/w16060889
47. Spatial Persistence of Water Chemistry Patterns Across Flow Conditions in a Mesoscale Agricultural Catchment S. Gu et al. 10.1029/2020WR029053
48. Water quality monitoring with purpose: Using a novel framework and leveraging long-term data N. da Luz et al. 10.1016/j.scitotenv.2021.151729
49. 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
50. Examining characteristics and sampling methods of phosphor dynamics in lowland catchments H. Risch et al. 10.1007/s11356-024-33374-y
51. 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
52. Stream Solutes and Particulates Export Regimes: A New Framework to Optimize Their Monitoring F. Moatar et al. 10.3389/fevo.2019.00516
53. Optimum positioning of wastewater treatment plants in a river network: A model-based approach to minimize microbial pollution S. Mishra et al. 10.1016/j.scitotenv.2019.07.035
54. Automated high frequency monitoring of Lake Maggiore through <em>in situ</em> sensors: system design, field test and data quality control R. Tiberti et al. 10.4081/jlimnol.2021.2011
55. Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management M. Perks et al. 10.1016/j.jenvman.2017.01.045
56. Temporal hydrochemical dynamics of the River Wensum, UK: Observations from long-term high-resolution monitoring (2011–2018) R. Cooper et al. 10.1016/j.scitotenv.2020.138253
57. Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge C. Minaudo et al. 10.1002/2017WR020590
58. Evaluation of sampling frequency impact on the accuracy of water quality status as determined considering different water quality monitoring objectives C. Torres et al. 10.1007/s10661-022-10169-7
59. Insights on the validation of alternative tools for water quality monitoring: the case of on-site test kits, portable devices and continuous measuring devices N. Guigues et al. 10.1007/s00769-023-01570-x
60. Prediction of storm transfers and annual loads with data-based mechanistic models using high-frequency data M. Ockenden et al. 10.5194/hess-21-6425-2017
61. Calibration and quantifying uncertainty of daily water quality forecasts for large lakes with a Bayesian joint probability modelling approach Z. Peng et al. 10.1016/j.watres.2020.116162
62. A data fusion-based methodology for optimal redesign of groundwater monitoring networks M. Hosseini & R. Kerachian 10.1016/j.jhydrol.2017.06.046
63. 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
64. 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
65. During a winter of storms in a small UK catchment, hydrology and water quality responses follow a clear rural-urban gradient S. McGrane et al. 10.1016/j.jhydrol.2016.12.037
66. 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
67. Automatic optimization of temporal monitoring schemes dealing with daily water contaminant concentration patterns M. Gabrielli et al. 10.1039/D2EW00089J
68. Monitoring heavy metal concentrations in turbid rivers: Can fixed frequency sampling regimes accurately determine criteria exceedance frequencies, distribution statistics and temporal trends? J. Kerr et al. 10.1016/j.ecolind.2018.05.028
69. Unveiling low-to-high-frequency data sampling caveats for aquaculture environmental monitoring and management F. Sampaio et al. 10.1016/j.aqrep.2021.100764
70. Four Years of Sediment and Phosphorus Monitoring in the Kraichbach River Using Large-Volume Samplers K. Allion et al. 10.3390/w14010120