Sensors in the Stream: The High-Frequency Wave of the Present.
暂无分享,去创建一个
Michael Rode | Brian Kronvang | Karsten Rinke | Phil Jordan | George B Arhonditsis | M. Rode | J. Kirchner | A. Wade | M. Cohen | S. Jomaa | B. Kronvang | K. Rinke | M. Bowes | G. Arhonditsis | P. Jordan | S. Halliday | R. Skeffington | R. Hensley | J. Rozemeijer | A. Aubert | James W Kirchner | Michael J Bowes | Andrew J Wade | Matthew J Cohen | Robert T Hensley | Sarah J Halliday | Richard A Skeffington | Joachim C Rozemeijer | Alice H Aubert | Seifeddine Jomaa | Karsten Rinke
[1] Rodney Anthony Stewart,et al. Intelligent data mining of vertical profiler readings to predict manganese concentrations in water reservoirs , 2013 .
[2] David K. Stevens,et al. A sensor network for high frequency estimation of water quality constituent fluxes using surrogates , 2010, Environ. Model. Softw..
[3] M. Rode,et al. Disentangling the influence of hydroclimatic patterns and agricultural management on river nitrate dynamics from sub-hourly to decadal time scales. , 2016, The Science of the total environment.
[4] Ophélie Fovet,et al. Transit times—the link between hydrology and water quality at the catchment scale , 2016 .
[5] Doerthe Tetzlaff,et al. Generality of fractal 1/f scaling in catchment tracer time series, and its implications for catchment travel time distributions , 2010 .
[6] D. Smart,et al. Diurnal variability in riverine dissolved organic matter composition determined by in situ optical measurement in the San Joaquin River (California, USA) , 2007 .
[7] M. Cohen,et al. Direct and indirect coupling of primary production and diel nitrate dynamics in a subtropical spring‐fed river , 2010 .
[8] Richard A. Skeffington,et al. Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring , 2012 .
[9] D. O’Donnell,et al. Tributary Plunging in an Urban Lake (Onondaga Lake): Drivers, Signatures, and Implications 1 , 2009 .
[10] C. Lorenzen,et al. A method for the continuous measurement of in vivo chlorophyll concentration , 1966 .
[11] Kenneth S. Johnson,et al. In situ ultraviolet spectrophotometry for high resolution and long-term monitoring of nitrate, bromide and bisulfide in the ocean , 2002 .
[12] A. Appling,et al. Nutrient Limitation and Physiology Mediate the Fine-Scale (De)coupling of Biogeochemical Cycles , 2014, The American Naturalist.
[13] David P. Hamilton,et al. Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories , 2015 .
[14] G. Minshall,et al. The River Continuum Concept , 1980 .
[15] P. Hanson,et al. Seasonal dynamics, typhoons and the regulation of lake metabolism in a subtropical humic lake , 2008 .
[16] Peter Arzberger,et al. New Eyes on the World: Advanced Sensors for Ecology , 2009 .
[17] J. Kirchner,et al. Quantifying remediation effectiveness under variable external forcing using contaminant rating curves. , 2011, Environmental science & technology.
[18] J. Newbold,et al. Solute-specific scaling of inorganic nitrogen and phosphorus uptake in streams , 2013 .
[19] Colin Neal,et al. Universal fractal scaling in stream chemistry and its implications for solute transport and water quality trend detection , 2013, Proceedings of the National Academy of Sciences.
[20] C. Wellen,et al. Application of the SPARROW model in watersheds with limited information: a Bayesian assessment of the model uncertainty and the value of additional monitoring , 2014 .
[21] Martin W. Doyle,et al. Alternative Reference Frames in River System Science , 2009 .
[22] P. Hanson,et al. Wireless Sensor Networks for Ecology , 2005 .
[23] M. Bowes,et al. Weekly flow cytometric analysis of riverine phytoplankton to determine seasonal bloom dynamics. , 2014, Environmental science. Processes & impacts.
[24] Dawn Field,et al. Catchment-scale biogeography of riverine bacterioplankton , 2014, The ISME Journal.
[25] J. Kanwisher,et al. Electrode System for Measuring Dissolved Oxygen , 1959 .
[26] C. Neal,et al. An analysis of long-term trends, seasonality and short-term dynamics in water quality data from Plynlimon, Wales. , 2012, The Science of the total environment.
[27] M. R. Anis,et al. Continuous In-Stream Assimilatory Nitrate Uptake from High-Frequency Sensor Measurements. , 2016, Environmental science & technology.
[28] M. Cohen,et al. Inferring nitrogen removal in large rivers from high‐resolution longitudinal profiling , 2014 .
[29] C. Kendall,et al. Assessing the sources and magnitude of diurnal nitrate variability in the San Joaquin River (California) with an in situ optical nitrate sensor and dual nitrate isotopes , 2009 .
[30] A. Melland,et al. Quantification of phosphorus transport from a karstic agricultural watershed to emerging spring water. , 2013, Environmental science & technology.
[31] Gregory E Schwarz,et al. Differences in phosphorus and nitrogen delivery to the Gulf of Mexico from the Mississippi River Basin. , 2008, Environmental science & technology.
[32] J. Stanford,et al. The serial discontinuity concept of lotic ecosystems , 1983 .
[33] C. Wellen,et al. Quantifying the uncertainty of nonpoint source attribution in distributed water quality models: A Bayesian assessment of SWAT’s sediment export predictions , 2014 .
[34] S. Carpenter,et al. Changes in ecosystem resilience detected in automated measures of ecosystem metabolism during a whole-lake manipulation , 2013, Proceedings of the National Academy of Sciences.
[35] R. Gilliom,et al. Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation. , 2014, Environmental science & technology.
[36] W. Graham,et al. Hydrologic and biotic influences on nitrate removal in a subtropical spring‐fed river , 2010 .
[37] K. Daly,et al. Identifying contrasting influences and surface water signals for specific groundwater phosphorus vulnerability. , 2016, The Science of the total environment.
[38] John L. Campbell,et al. Quantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor Data , 2013 .
[39] James W. Kirchner,et al. The fine structure of water‐quality dynamics: the (high‐frequency) wave of the future , 2004 .
[40] A. Michalak. Study role of climate change in extreme threats to water quality , 2016, Nature.
[41] B. Bergamaschi,et al. Taking the pulse of snowmelt: in situ sensors reveal seasonal, event and diurnal patterns of nitrate and dissolved organic matter variability in an upland forest stream , 2012, Biogeochemistry.
[42] Barbara Beckingham,et al. Turbidity as a proxy for total suspended solids (TSS) and particle facilitated pollutant transport in catchments , 2013, Environmental Earth Sciences.
[43] David K. Stevens,et al. Surrogate Measures for Providing High Frequency Estimates of Total Suspended Solids and Total Phosphorus Concentrations 1 , 2011 .
[44] S. W. Chung,et al. Modelling the propagation of turbid density inflows into a stratified lake: Daecheong Reservoir, Korea , 2009, Environ. Model. Softw..
[45] Michael Rode,et al. Spatially distributed lateral nitrate transport at the catchment scale. , 2010, Journal of environmental quality.
[46] M. Roederer,et al. Flow cytometry strikes gold , 2015, Science.
[47] Chantal Gascuel-Odoux,et al. Fractal water quality fluctuations spanning the periodic table in an intensively farmed watershed. , 2014, Environmental science & technology.
[48] D. Robertson,et al. Control of nitrogen and phosphorus transport by reservoirs in agricultural landscapes , 2015, Biogeochemistry.
[49] David K. Stevens,et al. Surrogate Measures for Providing High-frequency Estimates of Total Suspended Solids and Phosphorus Concentrations , 2007 .
[50] J. Kirchner,et al. Upland streamwater nitrate dynamics across decadal to sub-daily timescales: a case study of Plynlimon, Wales , 2013 .
[51] Chad R. Foster,et al. Controls on diel metal cycles in a biologically productive carbonate-dominated river , 2013 .
[52] Matthew C. Mowlem,et al. Lab-on-chip measurement of nitrate and nitrite for in situ analysis of natural waters. , 2012, Environmental science & technology.
[53] M Loewenthal,et al. Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data. , 2016, The Science of the total environment.
[54] Kenneth S Johnson,et al. Chemical sensor networks for the aquatic environment. , 2007, Chemical reviews.
[55] M. Twiss,et al. Phytoplankton community assessment in eight Lake Ontario tributaries made using fluorimetric methods , 2008 .
[56] T. Gisiger. Scale invariance in biology: coincidence or footprint of a universal mechanism? , 2001, Biological reviews of the Cambridge Philosophical Society.
[57] Heather Wickham,et al. High‐frequency precipitation and stream water quality time series from Plynlimon, Wales: an openly accessible data resource spanning the periodic table , 2013 .
[58] J. Newman,et al. The Water Quality of the River Enborne, UK: Observations from High-Frequency Monitoring in a Rural, Lowland River System , 2014 .
[59] T. Laurila,et al. Real-time determination of metal concentrations in liquid flows using microplasma emission spectroscopy , 2012, 2012 Photonics Global Conference (PGC).
[60] Matthew C. Mowlem,et al. Trends in microfluidic systems for in situ chemical analysis of natural waters , 2015 .
[61] Serghei A. Bocaniov,et al. Reservoirs as sentinels of catchments: the Rappbode Reservoir Observatory (Harz Mountains, Germany) , 2013, Environmental Earth Sciences.
[62] A. Wade,et al. Riparian shading controls instream spring phytoplankton and benthic algal growth. , 2016, Environmental science. Processes & impacts.
[63] Jeffrey G. Arnold,et al. CUMULATIVE UNCERTAINTY IN MEASURED STREAMFLOW AND WATER QUALITY DATA FOR SMALL WATERSHEDS , 2006 .
[64] S. Carpenter,et al. Early-warning signals for critical transitions , 2009, Nature.
[65] S. Carpenter,et al. Early Warnings of Regime Shifts: A Whole-Ecosystem Experiment , 2011, Science.
[66] Carole M. Sakamoto,et al. Submersible, Osmotically Pumped Analyzer for Continuous Determination of Nitrate in situ , 1994 .
[67] V. Acuña,et al. Regulation causes nitrogen cycling discontinuities in Mediterranean rivers. , 2016, The Science of the total environment.
[68] Andrew J. Wade,et al. Using high-frequency water quality data to assess sampling strategies for the EU Water Framework Directive , 2015 .
[69] Chad R. Foster,et al. Diel phosphorus variation and the stoichiometry of ecosystem metabolism in a large spring-fed river , 2013 .
[70] Hans Peter Broers,et al. Improving load estimates for NO3 and P in surface waters by characterizing the concentration response to rainfall events. , 2010, Environmental science & technology.
[71] M. Doyle,et al. Nutrient spiraling in streams and river networks , 2006 .
[72] Rachel Cassidy,et al. Limitations of instantaneous water quality sampling in surface-water catchments: Comparison with near-continuous phosphorus time-series data , 2011 .
[73] A. Wade,et al. Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships. , 2015, The Science of the total environment.
[74] Irena Hajnsek,et al. A Network of Terrestrial Environmental Observatories in Germany , 2011 .