Skip to content
akaturk Academic measurement

Article detail · 2017

FLOODSS: Iowa flood information system as a generalized flood cyberinfrastructure

YÖKSİS OpenAlex SJR Q3 Citations 64 Top 1% Percentile 99.0% FWCI 18.78
Year
2017
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue International Journal of River Basin Management
  • Catalog match (ISSN) International Journal of River Basin Management
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

This article presents the vision, implementation, and case studies of the Iowa Flood Information System (IFIS) towards the vision for next-generation decision support systems for flooding. The IFIS is an end-to-end web-based platform that incorporates various aspects of the decision-making process for flood risk management and mitigation for the State of Iowa. The IFIS provides real-time information on streams and weather conditions, incorporates advanced hydrological models for flood prediction and mapping, and several data analytics and visualization tools to support effective decision-making process. The data analytics and visualization capabilities with critical flood information in the IFIS can support flood risk management, and disaster preparedness and response efforts in Iowa. The IFIS is designed in an integrated and modular structure and serves as a prototype for a generalized decision support system for flood-related decision-making. A detailed case study is presented in the paper to demonstrate the capabilities of the system in decision-making.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

64 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. ENES YILDIRIM GİRESUN ÜNİVERSİTESİ
  2. Ibrahim Demir
  3. Yusuf Sermet
  4. Muhammed Sit