Article
Chemistry, Analytical
Jianwen Guo, Minghu Zhang, Qingsheng Shang, Feng Liu, Adan Wu, Xin Li
Summary: The development of river basin cyberinfrastructure with the Internet of Things (IoT) as the core and the implementation of the integrated observational data control system (IODCS) have significantly improved data acquisition and sharing efficiency in watershed research. The IODCS has shown impressive performance in processing massive observational data in the middle reaches of the Heihe River Basin (HRB).
Article
Computer Science, Interdisciplinary Applications
Lennart Schmidt, David Schaefer, Juliane Geller, Peter Luenenschloss, Bert Palm, Karsten Rinke, Corinna Rebmann, Michael Rode, Jan Bumberger
Summary: This article introduces the software system SaQC for automated quality control, which transforms large volumes of raw data from environmental sensor networks into usable data for monitoring environmental changes and decision support. It focuses on achieving real-time data processing and improving data quality.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Environmental Sciences
Alexis Neven, Philippe Renard
Summary: This paper presents a methodology for integrating geological, geophysical, and hydrogeological data to develop a robust and accurate groundwater model. The methodology combines the Ensemble Smoother with Multiple Data Assimilation algorithm and hierarchical geological modeling approach. By computing forward responses in lower-dimensional spaces, the models take into account multiple data sources and regional conceptual geological knowledge.
WATER RESOURCES RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
Florian Wieser, Sarah Stryeck, Konrad Lang, Christoph Hahn, Gerhard G. Thallinger, Julia Feichtinger, Philipp Hack, Manfred Stepponat, Nirav Merchant, Stefanie Lindstaedt, Gustav Oberdorfer
Summary: Collaborative research in modern life sciences often involves researchers from multiple universities. Data needs to be stored centrally and shared, without adding too much technical burden for researchers. Additionally, data analysis needs to be reproducible, which can be a time-consuming challenge for researchers without a data science background.
JOURNAL OF BIOTECHNOLOGY
(2021)
Article
Environmental Sciences
Adam N. Wlostowski, Noah Molotch, Suzanne P. Anderson, Susan L. Brantley, Jon Chorover, David Dralle, Praveen Kumar, Li Li, Kathleen A. Lohse, John M. Mallard, Jennifer C. McIntosh, Sheila F. Murphy, Eric Parrish, Mohammad Safeeq, Mark Seyfried, Yuning Shi, Ciaran Harman
Summary: This study characterizes the hydrologic dynamics of 15 catchments in the U.S. Critical Zone Observatory (CZO) network, finding links between precipitation form, soil structure, and hydrologic characteristics.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, Niko Wanders
Summary: The study demonstrates that incorporating machine learning in hydrology can support national water management by providing necessary information efficiently, with advanced Random Forest and LSTM methods showing the best performance in simulating hydrological variables at a national scale.
ADVANCES IN WATER RESOURCES
(2021)
Review
Computer Science, Interdisciplinary Applications
Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel Tong, Wendy Hawley Carande, Xiaogang Ma, Yuhan Rao, James A. Bednar, Amanda Tan, Jianwu Wang, Sanjay Purushotham, James A. Bednar K. Amanda Tan H. Jianwu Wang L. Sanja, Thomas E. Gill, Julien Chastang, Daniel Howard, Benjamin Holt, Chandana Gangodagamage, Peisheng Zhao, Pablo Rivas, Zachary Chester, Javier Orduz, Aji John
Summary: This paper provides a comprehensive overview of AI in Earth sciences, covering the current status, technology, use cases, challenges, and opportunities. It offers a holistic perspective and guidance for the future development of Earth AI.
COMPUTERS & GEOSCIENCES
(2022)
Article
Engineering, Civil
Tomasz Niedzielski, Michal Halicki
Summary: This study proposes a method that combines linear interpolation with autoregressive integrated model (ARI) to handle missing hydrological data. The method, named LinAR, outperforms the purely linear method, especially for short no-data gaps and rivers of considerable size. The LinAR method contributes to the current state of art in gap-filling methods by removing artificial jumps and introducing irregular variability in the filled data.
WATER RESOURCES MANAGEMENT
(2023)
Review
Ecology
Cove Sturtevant, Elizabeth DeRego, Stefan Metzger, Edward Ayres, Dan Allen, Teresa Burlingame, Nora Catolico, Kaelin Cawley, Janae Csavina, David Durden, Christopher Florian, Shalane Frost, Ross Gaddie, Elizabeth Knapp, Christine Laney, Robert Lee, Dawn Lenz, Guy Litt, Hongyan Luo, Joshua Roberti, Caleb Slemmons, Kevin Styers, Chau Tran, Tanya Vance, Michael SanClements
Summary: A quality management system is critical for ensuring the quality of data and services. NEON's quality management system, based on ISO 9001:2015 principles, has achieved high-quality, comparable data through its integrated approach, serving as a model for other organizations.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Review
Environmental Sciences
Arturo A. Keller, Kendra Garner, Nalini Rao, Eladio Knipping, Jeffrey Thomas
Summary: Global changes, such as climate and land use changes, have significant impacts on water resources. In order to plan for these changes, it is necessary to make projections and evaluate different hydrologic and water quality models. Among the models evaluated, MIKE-SHE, HEC-HMS, MODHMS, SWAT, and WARMF stand out in terms of functionality, availability, applicability, and support.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Construction & Building Technology
Adrian Pickard, Helen Frape, P. A. Gentile, Tristan Komoncharoensiri, Nathan Tregger
Summary: Highway safety is crucial for society's infrastructure, and slipform paving offers an efficient way to construct concrete barriers and drainage channels. This study examines the implementation of an in-transit management system by a slipform paving company, which measures and adjusts slump during concrete delivery. Not only does the system optimize productivity and material savings, it also provides a viable method to significantly reduce carbon dioxide emissions in the concrete industry.
CEMENT AND CONCRETE RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Camilo J. Bastidas Pacheco, Joseph C. Brewer, Jeffery S. Horsburgh, Juan Caraballo
Summary: Developed CIWS is an open-source architecture to automate the process of collecting and managing high temporal resolution residential water use data. Through two case studies, it was tested for scalability and performance, proving to be reliable and effective. All elements of CIWS and the case study data are freely available for re-use.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Management
Hanzhang Qin, David Simchi-Levi, Li Wang
Summary: This study investigates the classic multiperiod joint pricing and inventory control problem in a data-driven setting. A data-driven approximation algorithm is proposed to solve the problem using precollected demand data. The algorithm's sample complexity bound is proven, and numerical study demonstrates its effectiveness and improvement over the baseline.
MANAGEMENT SCIENCE
(2022)
Article
Ecology
Friedrich Recknagel
Summary: This review highlights the importance of cyberinfrastructure in ecology and its application in adaptive management. It provides tools for monitoring, data management, knowledge discovery, and decision making to inform ecological management under the influence of regional and global change.
ECOLOGICAL INFORMATICS
(2023)
Article
Environmental Sciences
Danny Croghan, Kieran Khamis, Chris Bradley, Anne F. Van Loon, Jon Sadler, David M. Hannah
Summary: Urbanization affects the quality and quantity of Dissolved Organic Matter (DOM) fluxes, potentially impacting water quality and ecosystem function. Traditional sampling methods are insufficient for tracking DOM source dynamics. By integrating high-resolution precipitation data and fluorescence records from an urban stream, the relationship between precipitation heterogeneity and DOM dynamics was studied.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Jeffery S. Horsburgh, Richard P. Hooper, Jerad Bales, Margaret Hedstrom, Heidi J. Imker, Kerstin A. Lehnert, Lea A. Shanley, Shelley Stall
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2020)
Article
Computer Science, Interdisciplinary Applications
Tian Gan, David G. Tarboton, Jeffery S. Horsburgh, Pabitra Dash, Ray Idaszak, Hong Yi
ENVIRONMENTAL MODELLING & SOFTWARE
(2020)
Article
Computer Science, Interdisciplinary Applications
Tian Gan, David G. Tarboton, Pabitra Dash, Tseganeh Z. Gichamo, Jeffery S. Horsburgh
ENVIRONMENTAL MODELLING & SOFTWARE
(2020)
Editorial Material
Engineering, Civil
David E. Rosenberg, Yves Filion, Rebecca Teasley, Samuel Sandoval-Solis, Jory S. Hecht, Jakobus E. van Zyl, George F. McMahon, Jeffery S. Horsburgh, Joseph R. Kasprzyk, David G. Tarboton
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2020)
Article
Computer Science, Interdisciplinary Applications
Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton
Summary: To enable reproducible environmental modeling research, advanced cyberinfrastructure is needed. Recent efforts have focused on advancing online repositories for data and model sharing, online computational environments, and model APIs. Integrating these efforts can advance reproducible environmental modeling.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Water Resources
Bethany T. Neilson, Hyrum Tennant, Patrick A. Strong, Jeffery S. Horsburgh
Summary: The Logan River watershed in Northern Utah, USA, consists of a pristine mountainous area draining into a valley influenced by urban development and agriculture. The Logan River Observatory has been collecting aquatic and climate data since 2014, highlighting the importance of understanding streamflow variability in complex watersheds and the insights provided by simple flow balances for guiding future investigations.
HYDROLOGICAL PROCESSES
(2021)
Article
Engineering, Civil
Nour A. Attallah, David E. Rosenberg, Jeffery S. Horsburgh
Summary: Urban water-use monitoring and conservation research has mainly focused on residential users, while commercial, industrial, and institutional (CII) facilities pose challenges due to their diverse water use behaviors. By analyzing water use patterns in manufacturing and assisted-care facilities, this study identified differences and similarities in water use behaviors among facilities, providing valuable insights for future water conservation efforts.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2021)
Article
Chemistry, Analytical
Nour A. Attallah, Jeffery S. Horsburgh, Arle S. Beckwith, Robb J. Tracy
Summary: The datalogger presented is an open source device that can collect and analyze high temporal resolution residential water use data without disrupting the operation of existing analog residential water meters. By performing computation directly on the meter, it reduces data transmission requirements and latency, making it an efficient and effective edge computing solution.
Article
Computer Science, Interdisciplinary Applications
Camilo J. Bastidas Pacheco, Joseph C. Brewer, Jeffery S. Horsburgh, Juan Caraballo
Summary: Developed CIWS is an open-source architecture to automate the process of collecting and managing high temporal resolution residential water use data. Through two case studies, it was tested for scalability and performance, proving to be reliable and effective. All elements of CIWS and the case study data are freely available for re-use.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Amber Spackman Jones, Tanner Lex Jones, Jeffery S. Horsburgh
Summary: Sensors often report anomalies related to fouling, sensor drift and calibration, and datalogging and transmission issues. Machine learning techniques can automate the identification and correction of these anomalies, streamlining the quality control process. The study applied classical and deep learning time series regression models to identify and correct anomalies in aquatic sensor data.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Camilo J. Bastidas Pacheco, Jeffery S. Horsburgh, Arle S. Beckwith
Summary: This study investigates residential water end-use events using high temporal resolution water metering data. The results indicate that collecting data at full pulse resolution provides more accurate estimations of event features and facilitates easier and more accurate event classification.
Article
Engineering, Civil
Camilo J. Bastidas J. Pacheco, Jeffery S. Horsburgh, Nour A. Attallah
Summary: This study assessed differences in residential water use in terms of timing and distribution of end uses. The results showed that indoor water use is more influenced by frequency of use rather than the characteristics of water fixtures. Past studies may not have accurately characterized the variables of indoor and outdoor water use. Opportunities for water conservation indoors and outdoors can be achieved by adopting more efficient fixtures and promoting conservation behaviors.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2023)
Article
Engineering, Civil
Nour A. A. Attallah, Jeffery S. S. Horsburgh, Camilo J. Bastidas J. Pacheco
Summary: This paper introduces a new water end-use disaggregation and classification tool that overcomes the limitations of prior studies in terms of code and data availability. The tool is developed in Python and can be accessed through any Python programming environment. It utilizes a base disaggregation and classification model tested on high-temporal-resolution data and manually labeled end-use event data for a single home. The tool is then applied to demonstrate its generalizability across different homes and meter types, and results show its ability to accurately disaggregate and classify individual end-use events.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2023)
Article
Water Resources
Amber Spackman Jones, Jeffery S. Horsburgh, Camilo J. Bastidas Pacheco, Courtney G. Flint, Belize A. Lane
Summary: Hydroinformatics and water data science are becoming increasingly prevalent in university graduate education, with a focus on online formats and materials. The experiences of instructors in these fields can inform educational practice and the development of online resources. This study reports on surveys and interviews with hydroinformatics and water data science instructors, and presents educational modules designed to address shared topics of interest and challenges.
FRONTIERS IN WATER
(2022)