River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research DOI Creative Commons
Yusuf Sermet, Chung‐Yuan Liang, Sayan Dey

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: May 23, 2024

The study and management of river systems are increasingly challenged by the complexity volume data required to understand predict morphology changes. River Morphology Information System (RIMORPHIS) is introduced as a transformative solution these challenges, serving an open-access web-based cyberinfrastructure designed enable advanced research in dynamics support integrated, multidisciplinary analysis riverine environments. Built upon robust framework National Hydrography Dataset Plus High Resolution, RIMORPHIS integrates publicly available bathymetry third-party resources, offering comprehensive cohesive database architecture for real-time use analysis. This platform structured around PostgreSQL with PostGIS extension, providing tools Geospatial visualization using Deck.GL, analytics Python-based geospatial processing, integration eHydro Cross Section Surveys via API. paper presents development functionalities RIMORPHIS, highlighting its unique contributions field hydrological information systems, specific focus on morphology. By on-demand access relevant datasets, coupled visualization, addresses critical gaps accessibility, interoperability, disparate sources. Our contribution extends beyond technical implementation, aiming foster self-sustained community that encourages collaboration among researchers, educators, practitioners. Through this initiative, not only enhances our understanding but also supports informed decision-making basin management.

Language: Английский

PolarBytes: Advancing Polar Research with a Centralized Open-Source Data Sharing Platform DOI

Nur Haznirah Hazman,

Rohaizaazira Mohd Zawawi,

Ainin Sofia Jusoh

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106325 - 106325

Published: Jan. 1, 2025

Language: Английский

Citations

0
Geo-WC: Custom Web Components for Earth Science Organizations and Agencies DOI
Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106328 - 106328

Published: Jan. 1, 2025

Language: Английский

Citations

0
Integrating Conversational AI Agents for Enhanced Water Quality Analytics: Development of a Novel Data Expert System DOI Creative Commons

Gabriel Vald,

Muhammed Sermet,

Jerry Mount

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Despite advancements in environmental monitoring, the gap between data collection and user-friendly interpretation remains a significant challenge, especially domain of water quality management. This paper introduces Artificial Intelligence Data Expert (AI-DE), novel analytics system that is designed to facilitate on-demand analysis time-series sensor related using natural language queries. The AI-DE leverages features ChatGPT, including Named Entity Recognition, geocoding, sentiment analysis, enable intuitive language-based analysis. transformation allows for immediate, ad-hoc querying data, tailored needs diverse user groups. Key include chat controls customize interaction, bypass enabling seamless integration with an integrated information system, mode detailed enhances engagement comprehension thereby supporting informed decisions actions represents step forward increasing access complex through conversational AI technologies.

Language: Английский

Citations

3
River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research DOI
Yusuf Sermet, Chung‐Yuan Liang, Sayan Dey

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: unknown, P. 106222 - 106222

Published: Sept. 1, 2024

Language: Английский

Citations

2
Geo-WC: Custom Web Components for Earth Science Organizations and Agencies DOI Creative Commons
Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: April 16, 2024

The development of web technologies and their integration into various fields has allowed a new era in data-driven decision-making public information accessibility, especially through adoption monitoring quantification environmental data resources provided by governmental institutions. While the use given way to creation democratized applications, challenges persist dealing with non-standardized formats, considering complexities data. To overcome these obtain up-to-date from different institutions, we present Geo-WC: component framework specifically designed for earth sciences, serving as bridge across scientific domains. Geo-WC utilizes developer-friendly approach simple HTML declarative syntax unify consolidated processing interface, allowing accessibility users skill sets. integrates widely used technologies, facilitating client-side analysis, visualization, within browsers.

Language: Английский

Citations

0
Technological Trends in The Field of Hydrology and Environmental Sciences: A Bibliometric Analysis DOI Creative Commons
Carlos Erazo Ramirez,

Kevin Song,

İbrahim Demir

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: May 31, 2024

The rapid advancement and widespread adoption of technology, particularly in web applications artificial intelligence, have significantly impacted various sectors, including industry, social media, government, research. This surge technological utilization has played a pivotal role the evolution hydrogeological environmental sciences, empowering researchers to harness available technologies for data collection, analysis, communication. study presents comprehensive bibliometric analysis spanning from 2018 mid-2023, focusing on integration computing within realm hydrological sciences. Leveraging Elsevier database, we identified 3,701 manuscripts incorporating range keywords, utilizing mining techniques extract pertinent information. Through application topic detection algorithms, established correlations between primary themes papers subjects. Our findings highlight notable increase cutting-edge such as machine learning signaling promising trend towards further innovation research practices.

Language: Английский

Citations

0
River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research DOI Creative Commons
Yusuf Sermet, Chung‐Yuan Liang, Sayan Dey

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: May 23, 2024

The study and management of river systems are increasingly challenged by the complexity volume data required to understand predict morphology changes. River Morphology Information System (RIMORPHIS) is introduced as a transformative solution these challenges, serving an open-access web-based cyberinfrastructure designed enable advanced research in dynamics support integrated, multidisciplinary analysis riverine environments. Built upon robust framework National Hydrography Dataset Plus High Resolution, RIMORPHIS integrates publicly available bathymetry third-party resources, offering comprehensive cohesive database architecture for real-time use analysis. This platform structured around PostgreSQL with PostGIS extension, providing tools Geospatial visualization using Deck.GL, analytics Python-based geospatial processing, integration eHydro Cross Section Surveys via API. paper presents development functionalities RIMORPHIS, highlighting its unique contributions field hydrological information systems, specific focus on morphology. By on-demand access relevant datasets, coupled visualization, addresses critical gaps accessibility, interoperability, disparate sources. Our contribution extends beyond technical implementation, aiming foster self-sustained community that encourages collaboration among researchers, educators, practitioners. Through this initiative, not only enhances our understanding but also supports informed decision-making basin management.

Language: Английский

Citations

0