Environmental Decision Support Systems as a Service: Demonstration on CE‐QUAL‐W2 Model

Yoav Bornstein, Ben Dayan, Amir Cahn, Scott Wells, Mashor Housh

Research output: Contribution to journalArticlepeer-review

Abstract

An environmental decision support system (EDSS) can be used as an important tool for the rehabilitation and preservation of ecosystems. Nonetheless, high assimilation costs (both money and time) are one of the main reasons these tools are not widely adopted in practice. This work presents a low‐cost paradigm of “EDSS as a Service.” This paradigm is demonstrated for developing a water quality EDSS as a service that utilizes the well‐known CE‐QUAL‐W2 model as a kernel for deriving optimized decisions. The paradigm is leveraging new open‐source technologies in software development (e.g., Docker, Kubernetes, and Helm) with cloud computing to significantly reduce the assimilation costs of the EDSS for organizations and researchers working on the rehabilitation and preservation of water bodies.

Original languageEnglish
Article number885
JournalWater (Switzerland)
Volume14
Issue number6
DOIs
StatePublished - 1 Mar 2022

Bibliographical note

Funding Information:
Acknowledgments: This work was supported by the Yarqon River Authority.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • CE‐QUAL‐W2
  • EDSS
  • SaaS

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Biochemistry
  • Aquatic Science
  • Water Science and Technology

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