From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

Zhi, Wei; Feng, Dapeng; Tsai, Wen-Ping; Sterle, Gary; Harpold, Adrian; Shen, Chaopeng; Li, Li

doi:10.1021/acs.est.0c06783

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

Journal Article · Wed Feb 03 04:00:00 EST 2021 · Environmental Science and Technology

DOI:https://doi.org/10.1021/acs.est.0c06783· OSTI ID:1852129

^[1]; Feng, Dapeng ^[2]; Tsai, Wen-Ping ^[2]; Sterle, Gary ^[3]; Harpold, Adrian ^[3]; Shen, Chaopeng ^[2]; ^[2]

Department of Civil and Environmental Engineering, The Pennsylvania State University, State College, Pennsylvania 16802, United States; OSTI
Department of Civil and Environmental Engineering, The Pennsylvania State University, State College, Pennsylvania 16802, United States
Department of Natural Resources & Environmental Science, The University of Nevada, Reno, Nevada 89557, United States

Not provided.

Research Organization:: Pennsylvania State Univ., University Park, PA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0016221

OSTI ID:: 1852129

Journal Information:: Environmental Science and Technology, Journal Name: Environmental Science and Technology Journal Issue: 4 Vol. 55; ISSN 0013-936X

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

References (77)

The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning Fang, Kuai; Pan, Ming; Shen, Chaopeng IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Issue 4 https://doi.org/10.1109/TGRS.2018.2872131	journal	April 2019
Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs) Ahmed, A. A. Masrur Journal of King Saud University - Engineering Sciences, Vol. 29, Issue 2 https://doi.org/10.1016/j.jksues.2014.05.001	journal	April 2017
Stream–air temperature relations to classify stream–ground water interactions in a karst setting, central Pennsylvania, USA O’Driscoll, Michael A.; DeWalle, David R. Journal of Hydrology, Vol. 329, Issue 1-2 https://doi.org/10.1016/j.jhydrol.2006.02.010	journal	September 2006
Emerging Tools for Continuous Nutrient Monitoring Networks: Sensors Advancing Science and Water Resources Protection Pellerin, Brian A.; Stauffer, Beth A.; Young, Dwane A. JAWRA Journal of the American Water Resources Association, Vol. 52, Issue 4 https://doi.org/10.1111/1752-1688.12386	journal	February 2016
The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere1: Oxygen solubility in seawater Benson, Bruce B.; Krause, Daniel Limnology and Oceanography, Vol. 29, Issue 3 https://doi.org/10.4319/lo.1984.29.3.0620	journal	May 1984
Use of the water quality index and dissolved oxygen deficit as simple indicators of watersheds pollution Sánchez, Enrique; Colmenarejo, Manuel F.; Vicente, Juan Ecological Indicators, Vol. 7, Issue 2 https://doi.org/10.1016/j.ecolind.2006.02.005	journal	April 2007
Predicting the Thermodynamic Stability of Solids Combining Density Functional Theory and Machine Learning Schmidt, Jonathan; Shi, Jingming; Borlido, Pedro Chemistry of Materials, Vol. 29, Issue 12 https://doi.org/10.1021/acs.chemmater.7b00156	journal	May 2017
Process‐Guided Deep Learning Predictions of Lake Water Temperature Read, Jordan S.; Jia, Xiaowei; Willard, Jared Water Resources Research, Vol. 55, Issue 11 https://doi.org/10.1029/2019WR024922	journal	November 2019
Long Short-Term Memory Hochreiter, Sepp; Schmidhuber, Jürgen Neural Computation, Vol. 9, Issue 8 https://doi.org/10.1162/neco.1997.9.8.1735	journal	November 1997
IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences Sivapalan, M.; Takeuchi, K.; Franks, S. W. Hydrological Sciences Journal, Vol. 48, Issue 6 https://doi.org/10.1623/hysj.48.6.857.51421	journal	December 2003
Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison Irby, Isaac D.; Friedrichs, Marjorie A. M.; Friedrichs, Carl T. Biogeosciences, Vol. 13, Issue 7 https://doi.org/10.5194/bg-13-2011-2016	journal	January 2016
Water and nutrient predictions in ungauged basins: set-up and evaluation of a model at the national scale Strömqvist, Johan; Arheimer, Berit; Dahné, Joel Hydrological Sciences Journal, Vol. 57, Issue 2 https://doi.org/10.1080/02626667.2011.637497	journal	January 2012
Temperature controls production but hydrology regulates export of dissolved organic carbon at the catchment scale Wen, Hang; Perdrial, Julia; Abbott, Benjamin W. Hydrology and Earth System Sciences, Vol. 24, Issue 2 https://doi.org/10.5194/hess-24-945-2020	journal	January 2020
Prediction of dissolved oxygen in a fishery pond based on gated recurrent unit (GRU) Li, Wuyan; Wu, Hao; Zhu, Nanyang Information Processing in Agriculture, Vol. 8, Issue 1 https://doi.org/10.1016/j.inpa.2020.02.002	journal	March 2021
Spatial and temporal variability of in-stream water quality parameter influence on dissolved oxygen and nitrate within a regional stream network Bailey, Ryan T.; Ahmadi, Mehdi Ecological Modelling, Vol. 277 https://doi.org/10.1016/j.ecolmodel.2014.01.015	journal	April 2014
The CAMELS data set: catchment attributes and meteorology for large-sample studies Addor, Nans; Newman, Andrew J.; Mizukami, Naoki Hydrology and Earth System Sciences, Vol. 21, Issue 10 https://doi.org/10.5194/hess-21-5293-2017	journal	January 2017
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community Shen, Chaopeng; Laloy, Eric; Elshorbagy, Amin Hydrology and Earth System Sciences, Vol. 22, Issue 11 https://doi.org/10.5194/hess-22-5639-2018	journal	January 2018
A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning Xiang, Zhongrun; Yan, Jun; Demir, Ibrahim Water Resources Research, Vol. 56, Issue 1 https://doi.org/10.1029/2019WR025326	journal	January 2020
Gulf of Mexico Hypoxia, A.K.A. “The Dead Zone” Rabalais, Nancy N.; Turner, R. Eugene; Wiseman, William J. Annual Review of Ecology and Systematics, Vol. 33, Issue 1 https://doi.org/10.1146/annurev.ecolsys.33.010802.150513	journal	November 2002
Prediction of Dissolved Oxygen from pH and Water Temperature in Aquaculture Prawn Ponds Dabrowski, Joel Janek; Rahman, Ashfaqur; George, Andrew AIW'18: Australasian Joint Conference on Artificial Intelligence - Workshops, Proceedings of the Australasian Joint Conference on Artificial Intelligence - Workshops https://doi.org/10.1145/3314487.3314488	conference	December 2018
Measuring hypoxia induced metal release from highly contaminated estuarine sediments during a 40day laboratory incubation experiment Banks, Joanne L.; Ross, D. Jeff; Keough, Michael J. Science of The Total Environment, Vol. 420 https://doi.org/10.1016/j.scitotenv.2012.01.033	journal	March 2012
A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture Hu, Zhuhua; Zhang, Yiran; Zhao, Yaochi Sensors, Vol. 19, Issue 6 https://doi.org/10.3390/s19061420	journal	March 2019
Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria Moriasi, Daniel N.; Gitau, Margaret W.; Pai, Naresh Transactions of the ASABE, Vol. 58, Issue 6, p. 1763-1785 https://doi.org/10.13031/trans.58.10715	journal	December 2015
Diverse water quality responses to extreme climate events: an introduction Kaushal, Sujay S.; Gold, Arthur J.; Bernal, Susana Biogeochemistry, Vol. 141, Issue 3 https://doi.org/10.1007/s10533-018-0527-x	journal	November 2018
Concentration-discharge relationships reflect chemostatic characteristics of US catchments Godsey, Sarah E.; Kirchner, James W.; Clow, David W. Hydrological Processes, Vol. 23, Issue 13 https://doi.org/10.1002/hyp.7315	journal	June 2009
Near-Real-Time Forecast of Satellite-Based Soil Moisture Using Long Short-Term Memory with an Adaptive Data Integration Kernel Fang, Kuai; Shen, Chaopeng Journal of Hydrometeorology, Vol. 21, Issue 3 https://doi.org/10.1175/JHM-D-19-0169.1	journal	March 2019
A review of dissolved oxygen modelling techniques for lowland rivers Cox, B. The Science of The Total Environment, Vol. 314-316 https://doi.org/10.1016/S0048-9697(03)00062-7	journal	October 2003
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks Kratzert, Frederik; Klotz, Daniel; Brenner, Claire Hydrology and Earth System Sciences, Vol. 22, Issue 11 https://doi.org/10.5194/hess-22-6005-2018	journal	January 2018
Multiple Scales of Temporal Variability in Ecosystem Metabolism Rates: Results from 2 Years of Continuous Monitoring in a Forested Headwater Stream Roberts, Brian J.; Mulholland, Patrick J.; Hill, Walter R. Ecosystems, Vol. 10, Issue 4 https://doi.org/10.1007/s10021-007-9059-2	journal	May 2007
Modeling dissolved oxygen dynamics and hypoxia Peña, M. A.; Katsev, S.; Oguz, T. Biogeosciences, Vol. 7, Issue 3 https://doi.org/10.5194/bg-7-933-2010	journal	January 2010
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets Kratzert, Frederik; Klotz, Daniel; Shalev, Guy Hydrology and Earth System Sciences, Vol. 23, Issue 12 https://doi.org/10.5194/hess-23-5089-2019	journal	January 2019
Stream Solutes and Particulates Export Regimes: A New Framework to Optimize Their Monitoring Moatar, Florentina; Floury, Mathieu; Gold, Arthur J. Frontiers in Ecology and Evolution, Vol. 7 https://doi.org/10.3389/fevo.2019.00516	journal	January 2020
Determination of lethal dissolved oxygen levels for selected marine and estuarine fishes, crustaceans, and a bivalve D., Miller; S., Poucher; L., Coiro Marine Biology, Vol. 140, Issue 2 https://doi.org/10.1007/s002270100702	journal	February 2002
Toward improved identifiability of hydrologic model parameters: The information content of experimental data: IMPROVED IDENTIFIABILITY OF HYDROLOGIC MODEL PARAMETERS Vrugt, Jasper A.; Bouten, Willem; Gupta, Hoshin V. Water Resources Research, Vol. 38, Issue 12 https://doi.org/10.1029/2001WR001118	journal	December 2002
The concentration and isotopic fractionation of gases dissolved in freshwater in equilibrium with the atmosphere. 1. Oxygen: Oxygen in freshwater Benson, Bruce B.; Krause, Daniel Limnology and Oceanography, Vol. 25, Issue 4 https://doi.org/10.4319/lo.1980.25.4.0662	journal	July 1980
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data Rahmani, Farshid; Lawson, Kathryn; Ouyang, Wenyu Environmental Research Letters https://doi.org/10.1088/1748-9326/abd501	journal	December 2020
Temporal responses of coastal hypoxia to nutrient loading and physical controls Kemp, W. M.; Testa, J. M.; Conley, D. J. Biogeosciences, Vol. 6, Issue 12 https://doi.org/10.5194/bg-6-2985-2009	journal	January 2009
Elemental properties, hydrology, and biology interact to shape concentration-discharge curves for carbon, nutrients, sediment, and major ions: SHAPES AND CAUSES OF C-Q RELATIONSHIPS Moatar, F.; Abbott, B. W.; Minaudo, C. Water Resources Research, Vol. 53, Issue 2 https://doi.org/10.1002/2016WR019635	journal	February 2017
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model Barzegar, Rahim; Aalami, Mohammad Taghi; Adamowski, Jan Stochastic Environmental Research and Risk Assessment, Vol. 34, Issue 2 https://doi.org/10.1007/s00477-020-01776-2	journal	February 2020
Predicting Redox Conditions in Groundwater at a Regional Scale Tesoriero, Anthony J.; Terziotti, Silvia; Abrams, Daniel B. Environmental Science & Technology, Vol. 49, Issue 16 https://doi.org/10.1021/acs.est.5b01869	journal	July 2015
Toward catchment hydro‐biogeochemical theories Li, Li; Sullivan, Pamela L.; Benettin, Paolo WIREs Water, Vol. 8, Issue 1 https://doi.org/10.1002/wat2.1495	journal	December 2020
Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network Fang, Kuai; Shen, Chaopeng; Kifer, Daniel Geophysical Research Letters, Vol. 44, Issue 21 https://doi.org/10.1002/2017GL075619	journal	November 2017
Control of dissolved oxygen in northern temperate lakes over scales ranging from minutes to days Langman, Oc; Hanson, Pc; Carpenter, Sr Aquatic Biology, Vol. 9, Issue 2 https://doi.org/10.3354/ab00249	journal	May 2010
Determining How Critical Zone Structure Constrains Hydrogeochemical Behavior of Watersheds: Learning From an Elevation Gradient in California's Sierra Nevada Ackerer, Julien; Steefel, Carl; Liu, Fengjing Frontiers in Water, Vol. 2 https://doi.org/10.3389/frwa.2020.00023	journal	August 2020
Large Projected Decline in Dissolved Oxygen in a Eutrophic Estuary Due to Climate Change Ni, Wenfei; Li, Ming; Ross, Andrew C. Journal of Geophysical Research: Oceans, Vol. 124, Issue 11 https://doi.org/10.1029/2019JC015274	journal	November 2019
Investigation of water quality using transfer learning, phased LSTM and correntropy loss Michieletto, Lorenzo; Ouyang, Bing; Wills, Paul Big Data II: Learning, Analytics, and Applications https://doi.org/10.1117/12.2560794	conference	May 2020
Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis Antanasijević, Davor; Pocajt, Viktor; Perić-Grujić, Aleksandra Journal of Hydrology, Vol. 519 https://doi.org/10.1016/j.jhydrol.2014.10.009	journal	November 2014
Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short‐Term Memory Models for Soil Moisture Predictions Fang, Kuai; Kifer, Daniel; Lawson, Kathryn Water Resources Research, Vol. 56, Issue 12 https://doi.org/10.1029/2020WR028095	journal	December 2020
An assessment of the predictability of column minimum dissolved oxygen concentrations in Chesapeake Bay using a machine learning model Ross, Andrew C.; Stock, Charles A. Estuarine, Coastal and Shelf Science, Vol. 221 https://doi.org/10.1016/j.ecss.2019.03.007	journal	May 2019
Dissolved oxygen model for regional lake analysis Stefan, Heinz G.; Fang, Xing Ecological Modelling, Vol. 71, Issue 1-3 https://doi.org/10.1016/0304-3800(94)90075-2	journal	January 1994
Nitrate removal and young stream water fractions at the catchment scale Benettin, Paolo; Fovet, Ophélie; Li, Li Hydrological Processes, Vol. 34, Issue 12 https://doi.org/10.1002/hyp.13781	journal	May 2020
Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales Feng, Dapeng; Fang, Kuai; Shen, Chaopeng Water Resources Research, Vol. 56, Issue 9 https://doi.org/10.1029/2019WR026793	journal	September 2020
Predicting algal blooms: Are we overlooking groundwater? Brookfield, Andrea E.; Hansen, Amy T.; Sullivan, Pamela L. Science of The Total Environment, Vol. 769 https://doi.org/10.1016/j.scitotenv.2020.144442	journal	May 2021
Deepening roots can enhance carbonate weathering by amplifying CO₂-rich recharge Wen, Hang; Sullivan, Pamela L.; Macpherson, Gwendolyn L. Biogeosciences, Vol. 18, Issue 1 https://doi.org/10.5194/bg-18-55-2021	journal	January 2021
Spreading Dead Zones and Consequences for Marine Ecosystems Diaz, R. J.; Rosenberg, R. Science, Vol. 321, Issue 5891 https://doi.org/10.1126/science.1156401	journal	August 2008
Natural variation and current reference for specific conductivity and major ions in wadeable streams of the conterminous USA Griffith, Michael B. Freshwater Science, Vol. 33, Issue 1 https://doi.org/10.1086/674704	journal	March 2014
Distinct Source Water Chemistry Shapes Contrasting Concentration‐Discharge Patterns Zhi, Wei; Li, Li; Dong, Wenming Water Resources Research, Vol. 55, Issue 5 https://doi.org/10.1029/2018WR024257	journal	May 2019
LSTM: A Search Space Odyssey Greff, Klaus; Srivastava, Rupesh K.; Koutnik, Jan IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, Issue 10 https://doi.org/10.1109/TNNLS.2016.2582924	journal	October 2017
Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance Newman, A. J.; Clark, M. P.; Sampson, K. Hydrology and Earth System Sciences, Vol. 19, Issue 1 https://doi.org/10.5194/hess-19-209-2015	journal	January 2015
Global river temperatures and sensitivity to atmospheric warming and changes in river flow: SENSITIVITY OF GLOBAL RIVER TEMPERATURES van Vliet, M. T. H.; Ludwig, F.; Zwolsman, J. J. G. Water Resources Research, Vol. 47, Issue 2 https://doi.org/10.1029/2010WR009198	journal	February 2011
Monitoring the riverine pulse: Applying high‐frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes Burns, Douglas A.; Pellerin, Brian A.; Miller, Matthew P. WIREs Water, Vol. 6, Issue 4 https://doi.org/10.1002/wat2.1348	journal	April 2019
Unexpected spatial stability of water chemistry in headwater stream networks Abbott, Benjamin W.; Gruau, Gérard; Zarnetske, Jay P. Ecology Letters, Vol. 21, Issue 2 https://doi.org/10.1111/ele.12897	journal	December 2017
Gulf of Mexico Hypoxia: Alternate States and a Legacy Turner, R. Eugene; Rabalais, Nancy N.; Justic, Dubravko Environmental Science & Technology, Vol. 42, Issue 7 https://doi.org/10.1021/es071617k	journal	April 2008
The influence of riparian shade on lowland stream water temperatures in southern England and their viability for brown trout: SHADING AND TEMPERATURE IN LOWLAND STREAMS Broadmeadow, S. B.; Jones, J. G.; Langford, T. E. L. River Research and Applications, Vol. 27, Issue 2 https://doi.org/10.1002/rra.1354	journal	February 2011
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists Shen, Chaopeng Water Resources Research, Vol. 54, Issue 11 https://doi.org/10.1029/2018WR022643	journal	November 2018
An Ecological Perspective on In-Stream Temperature: Natural Heat Dynamics and Mechanisms of Human-CausedThermal Degradation Poole, Geoffrey C.; Berman, Cara H. Environmental Management, Vol. 27, Issue 6 https://doi.org/10.1007/s002670010188	journal	June 2001
Effects of dissolved oxygen supply level on phosphorus release from lake sediments Wang, Shengrui; Jin, Xiangcan; Bu, Qinyun Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol. 316, Issue 1-3 https://doi.org/10.1016/j.colsurfa.2007.09.007	journal	March 2008
Analysis and Prediction of Water Quality Using LSTM Deep Neural Networks in IoT Environment Liu, Ping; Wang, Jin; Sangaiah, Arun Sustainability, Vol. 11, Issue 7 https://doi.org/10.3390/su11072058	journal	April 2019
The metabolic regimes of flowing waters: Metabolic regimes Bernhardt, E. S.; Heffernan, J. B.; Grimm, N. B. Limnology and Oceanography, Vol. 63, Issue S1 https://doi.org/10.1002/lno.10726	journal	October 2017
The future of Earth observation in hydrology McCabe, Matthew F.; Rodell, Matthew; Alsdorf, Douglas E. Hydrology and Earth System Sciences, Vol. 21, Issue 7 https://doi.org/10.5194/hess-21-3879-2017	journal	January 2017
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations No authors listed Transactions of the ASABE, Vol. 50, Issue 3 https://doi.org/10.13031/2013.23153	journal	January 2007
Watershed Reactive Transport Li, Li Reviews in Mineralogy and Geochemistry, Vol. 85, Issue 1 https://doi.org/10.2138/rmg.2018.85.13	journal	September 2019
Significant stream chemistry response to temperature variations in a high-elevation mountain watershed Zhi, Wei; Williams, Kenneth H.; Carroll, Rosemary W. H. Communications Earth & Environment, Vol. 1, Issue 1 https://doi.org/10.1038/s43247-020-00039-w	journal	November 2020
The Shallow and Deep Hypothesis: Subsurface Vertical Chemical Contrasts Shape Nitrate Export Patterns from Different Land Uses Zhi, Wei; Li, Li Environmental Science & Technology, Vol. 54, Issue 19 https://doi.org/10.1021/acs.est.0c01340	journal	August 2020
Oxygen solubility in seawater: Better fitting equations Garcia, Herncin E.; Gordon, Louis I. Limnology and Oceanography, Vol. 37, Issue 6 https://doi.org/10.4319/lo.1992.37.6.1307	journal	September 1992
Catchment chemostasis revisited: Water quality responds differently to variations in weather and climate Godsey, Sarah E.; Hartmann, Jens; Kirchner, James W. Hydrological Processes, Vol. 33, Issue 24 https://doi.org/10.1002/hyp.13554	journal	September 2019
Evaluating the efficiency of environmental monitoring programs Levine, Carrie R.; Yanai, Ruth D.; Lampman, Gregory G. Ecological Indicators, Vol. 39 https://doi.org/10.1016/j.ecolind.2013.12.010	journal	April 2014

Similar Records

River Dissolved Oxygen Prediction Using Machine Learning Models and Wireless Sensor Measurements

Journal Article · Mon Jul 21 20:00:00 EDT 2025 · Journal of Hydrologic Engineering · OSTI ID:2573968

Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?

Journal Article · Sat Apr 23 20:00:00 EDT 2022 · Hydrological Processes · OSTI ID:1864613

Related Subjects

Engineering
Environmental Sciences & Ecology

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

Citation Formats

References (77)

Similar Records

Related Subjects