Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies.

[1]  S. Shupe High resolution stream water quality assessment in the Vancouver, British Columbia region: a citizen science study. , 2017, The Science of the total environment.

[2]  Ying Zhao,et al.  The incorrect usage of singular spectral analysis and discrete wavelet transform in hybrid models to predict hydrological time series , 2017 .

[3]  P. Frost,et al.  Monitoring water quality in Toronto's urban stormwater ponds: Assessing participation rates and data quality of water sampling by citizen scientists in the FreshWater Watch. , 2017, The Science of the total environment.

[4]  Bin Shi,et al.  Engineering risk assessment for emergency disposal projects of sudden water pollution incidents , 2017, Environmental Science and Pollution Research.

[5]  Sándor Molnár,et al.  Application of artificial neural networks to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube , 2017 .

[6]  M. Rode,et al.  High frequency measurements of reach scale nitrogen uptake in a fourth order river with contrasting hydromorphology and variable water chemistry (Weiße Elster, Germany) , 2017 .

[7]  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.

[8]  Michael Rode,et al.  Sensors in the Stream: The High-Frequency Wave of the Present. , 2016, Environmental science & technology.

[9]  Balaji Rajagopalan,et al.  Wavelet‐based time series bootstrap model for multidecadal streamflow simulation using climate indicators , 2016 .

[10]  Liang Guo,et al.  Evaluation and selection of emergency treatment technology based on dynamic fuzzy GRA method for chemical contingency spills. , 2015, Journal of hazardous materials.

[11]  Lubertus Bijlsma,et al.  Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis. , 2015, The Science of the total environment.

[12]  Richard A. Skeffington,et al.  High‐frequency water quality monitoring in an urban catchment: hydrochemical dynamics, primary production and implications for the Water Framework Directive , 2015 .

[13]  A. Heathwaite,et al.  Seasonal variation in phosphorus concentration–discharge hysteresis inferred from high-frequency in situ monitoring , 2015 .

[14]  F. Salerno,et al.  Surrogate measures for providing high frequency estimates of total phosphorus concentrations in urban watersheds. , 2014, Water research.

[15]  Jun Xia,et al.  Water quality variation in the highly disturbed Huai River Basin, China from 1994 to 2005 by multi-statistical analyses. , 2014, The Science of the total environment.

[16]  Richard J. Wagner,et al.  Guidelines and Standard Procedures for Continuous Water-Quality Monitors: Station Operation, Record Computation, and Data Reporting , 2014 .

[17]  Kulwinder Singh Parmar,et al.  Water quality management using statistical analysis and time-series prediction model , 2014, Applied Water Science.

[18]  Kulwinder Singh Parmar,et al.  River Water Prediction Modeling Using Neural Networks, Fuzzy and Wavelet Coupled Model , 2014, Water Resources Management.

[19]  John D. Jastram Streamflow, water quality, and aquatic macroinvertebrates of selected streams in Fairfax County, Virginia, 2007-12 , 2014 .

[20]  Barbara Beckingham,et al.  Turbidity as a proxy for total suspended solids (TSS) and particle facilitated pollutant transport in catchments , 2013, Environmental Earth Sciences.

[21]  Dibo Hou,et al.  An early warning and control system for urban, drinking water quality protection: China’s experience , 2012, Environmental Science and Pollution Research.

[22]  Mei Li,et al.  A GIS-based generic real-time risk assessment framework and decision tools for chemical spills in the river basin. , 2012, Journal of hazardous materials.

[23]  J. Kirchner,et al.  Quantifying remediation effectiveness under variable external forcing using contaminant rating curves. , 2011, Environmental science & technology.

[24]  Rachel Cassidy,et al.  Limitations of instantaneous water quality sampling in surface-water catchments: Comparison with near-continuous phosphorus time-series data , 2011 .

[25]  Taher Rajaee,et al.  Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers. , 2011, The Science of the total environment.

[26]  Regan Murray,et al.  Testing and Evaluation of Water Quality Event Detection Algorithms , 2011 .

[27]  Vladan Babovic,et al.  Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory , 2010 .

[28]  Ashantha Goonetilleke,et al.  Determination of a set of surrogate parameters to assess urban stormwater quality. , 2010, The Science of the total environment.

[29]  David K. Stevens,et al.  A sensor network for high frequency estimation of water quality constituent fluxes using surrogates , 2010, Environ. Model. Softw..

[30]  Karl Byrand Nature and History in the Potomac Country: From Hunter–Gatherers to the Age of Jefferson , 2010 .

[31]  S. Chehreh Chelgani,et al.  Prediction of coal response to froth flotation based on coal analysis using regression and artificial neural network , 2009 .

[32]  R. Haught,et al.  Real-time contaminant detection and classification in a drinking water pipe using conventional water quality sensors: techniques and experimental results. , 2009, Journal of environmental management.

[33]  Katherine A. Klise,et al.  MULTIVARIATE APPLICATIONS FOR DETECTING ANOMALOUS WATER QUALITY , 2008 .

[34]  David K. Stevens,et al.  Surrogate Measures for Providing High Frequency Estimates of Total Suspended Solids and Total Phosphorus Concentrations 1 , 2011 .

[35]  Roy C. Haught,et al.  On–Line water quality parameters as indicators of distribution system contamination , 2007 .

[36]  Jan-Tai Kuo,et al.  A hybrid neural-genetic algorithm for reservoir water quality management. , 2006, Water research.

[37]  Vladan Babovic,et al.  Data mining in hydrology , 2005 .

[38]  V. Babovic,et al.  Enhancing tidal prediction accuracy in a deterministic model using chaos theory , 2004 .

[39]  Wenrui Huang,et al.  Neural network modeling of salinity variation in Apalachicola River. , 2002, Water research.

[40]  Victoria G. Christensen Characterization of Surface-Water Quality Based on Real-Time Monitoring and Regression Analysis, Quivira National Wildlife Refuge, South-Central Kansas, December 1998 Through June 2001 , 2001 .

[41]  J. Kalkhoven,et al.  Effects of woodlot isolation on the dispersion of plants with fleshy fruits , 1991 .