An Analysis of Water Data Systems to Inform the Open Water Data Initiative

Blodgett, D. L.; Read, Emily K.; Lucido, Jessica M.; Slawecki, Tad; Young, Dwane

doi:10.1111/1752-1688.12417

Cited by 16 publications

(18 citation statements)

References 9 publications

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“…Data from research efforts are becoming available through open‐data movements based on FAIR principles, which advocate the use of metadata and standards. Data from operational and experimental monitoring networks are now widely available through data systems such as the USGS National Water Information System, the US interagency water quality portal (Blodgett, Read, Lucido, Slawecki, & Young, 2016), and the European Union's Water Information System for Europe (Hering et al, 2010). Several repositories now enable scientists to easily archive and publish data with essential metadata and provide easy‐to‐use watershed data access mechanisms, such as interactive portals and web service application programming interfaces.…”

Section: Emerging Technologies Poised To Advance Watershed Hydrobiogementioning

confidence: 99%

Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry

Hubbard

Varadharajan

et al. 2020

Hydrological Processes

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Increasing population and resource-intensive lifestyles are driving enhanced demands for clean water, food, and energy. In parallel, landuse change, climate change, and perturbations-including drought, floods, fires, and early snowmelt-are significantly reshaping interactions within watersheds throughout the world. While watersheds are the Earth's key functional unit for assessing and managing water resources, hydrological processes in watersheds also mediate biogeochemical interactions that support terrestrial life on Earth (Kaushal, Gold, Bernal, & Tank, 2018; National Research Council, 2012). Although society is dependent upon clean water availability, tractable prediction of watershed hydrobiogeochemical behavior, including watershed response to perturbations, remains a challenge. Central to the challenge are complex, multiscale interactions between plants, microorganisms, organic matter, minerals, dissolved constituents, and migrating fluids, which occur within and across bedrock-to-canopy compartments and along extensive lateral gradients of a watershed. Several recent community reports have synthesized formidable challenges associated with watershed science and technology (AGU, 2018;Blöschl et al., 2019).Here, we discuss emerging technologies and collaboration modes that are critical for developing generalizable insights about and predictive understanding of complex watershed hydrobiogeochemical behavior, which are important for underpinning optimized natural resource management.Recent developments in field observatories and open-science principles provide foundational pillars for advancing predictive understanding of watershed hydrobiogeochemistry using emerging technologies. Field observatories have fostered crossdisciplinary collaboration and provided platforms for quantifying hydrological, biological, geological, geochemical, and atmospheric processes and their couplings (Bogena, White, Bour, Li, & Jensen, 2018). Observatory networks in the United States include the Critical Zone

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Section: Emerging Technologies Poised To Advance Watershed Hydrobiogementioning

confidence: 99%

Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry

Hubbard

Varadharajan

et al. 2020

Hydrological Processes

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“…Providing information about water consumption and water availability will increase end-user awareness and improve the quality of water management decisions and water government [6]. In addition, improving access to data and fostering open exchange of water information are crucial to solving water resources issues [17].…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Based Framework for Publishing and Exploiting Linked Open Data: A Use Case on Water Resources Management

et al. 2020

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Nowadays, the increasing demand of water for electricity production, agricultural and industrial uses are directly affecting the reduction of available quality water for human consumption in the world. Efficient and sustainable maintenance of water reservoirs and supply networks implies a holistic strategy that takes into account, as much as possible, information from the stages of water usage. Next,-generation decision-making software tools, for supporting water management, require the integration of multiple and heterogeneous data sources of different knowledge domains. In this regard, Linked Data and Semantic Web technologies enable harmonization of different data sources, as well as the efficient querying for feeding upper-level Business Intelligence processes. This work investigates the design, implementation and usage of a semantic approach driven by ontology to capture, store, integrate and exploit real-world data concerning water supply networks management. As a main contribution, the proposal helps with obtaining semantically enriched linked data, enhancing the analysis of water network performance. For validation purposes, in the use case, a series of data sources from different measures have been considered, in the scope of an actual water management system of the Mediterranean region of Valencia (Spain), throughout several years of activity. The obtained experience shows the benefits of using the proposed approach to identify possible correlations between the measures such as the supplied water, the water leaks or the population.

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“…This could be overcome by wider government adoption of an open data approach. For example, the California Open and Transparent Water Data Act requires the state Department of Water Resources to create, operate, and maintain an open-access state-wide integrated water data platform [72].…”

Section: Communitymentioning

confidence: 99%

Disruptive Technologies for Improving Water Security in Large River Basins

Harshadeep

Young

2020

Water

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Large river basins present significant challenges for water resource planning and management. They typically traverse a wide range of hydroclimatic regimes, are characterized by complex and variable hydrology, and span multiple jurisdictions with diverse water demands and values. They are often data-poor and in many developing economies are characterized by weak water governance. Rapid global change is seeing significant changes to the pressures on the water resources of large basins, exacerbating the challenge of sustainable water management. Diverse technologies have long supported water resource planning and development, from data collection, analytics, simulation, to decision-making, and real-time operations. In the last two decades however, a rapid increase in the range, capability, and accessibility of new technologies, coupled with large reductions in cost, mean there are increasing opportunities for emerging technologies to significantly “disrupt” traditional approaches to water resources management. In this paper, we consider the application of ‘disruptive technologies’ in water resources management in large river basins, through a lens of improving water security. We discuss the role of different actors and institutions for water management considering a range of emerging disruptive technologies. We consider the risks and benefits associated with the use of these technologies and discuss the barriers to their widespread adoption. We obverse a positive trend away from the reliance solely on centralized government institutions and traditional modeling for the collection and analysis of data, towards a more open and dynamic ‘data and knowledge ecosystem’ that draws upon data services at different levels (global to local) to support water planning and operations. We expect that technological advances and cost reductions will accelerate, fueling increased incremental adoption of new technologies in water resources planning and management. Large-basin analytics could become virtually free for users with global, regional, and national development agencies absorbing the costs of development and any subscription services for end users (e.g., irrigators) to help improve water management at user level and improve economic productivity. Collectively, these changes can help to ‘democratize’ water management through improved access to data and information. However, disruptive technologies can also be deployed in top-down or centralized processes, and so their use is sometimes contested or misunderstood. Increased attention therefore needs to be given to ensuring equity in technology access, and to strengthening the governance context for technology deployment. Widespread adoption of disruptive technologies will require adjustments to how water professionals are trained, increased adaptiveness in water resources planning and operations, and careful consideration of privacy and cybersecurity issues.

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An Analysis of Water Data Systems to Inform the Open Water Data Initiative

Cited by 16 publications

References 9 publications

Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry

Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry

An Ontology-Based Framework for Publishing and Exploiting Linked Open Data: A Use Case on Water Resources Management

Disruptive Technologies for Improving Water Security in Large River Basins

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