PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 29, 2026Stolypin Annals0 citations

Identification of Wind Discomfort Zones Using Geoinformation Analysis: A Case Study of the City of Salekhard

EPEkaterina PodryadchikovaPPPolina Pandyreva

Key Points

  • The aim is to identify areas with high wind discomfort in Arctic cities through geoinformation analysis.
  • Utilized a digital elevation model (ArcticDEM) for terrain analysis
  • Assessed slope exposure, steepness, and building density
  • Developed a point-weight scale to evaluate wind load prevalence.
  • Identified specific zones with significant wind discomfort in Salekhard
  • Ranked areas based on varying degrees of wind load
  • Proposed actionable insights for urban planning based on findings.

Abstract

The article discusses a methodology for identifying wind discomfort zones in Arctic cities using geoinformation analysis and the ArcticDEM digital elevation model. An approach is proposed based on a comprehensive assessment of slope exposure and steepness, as well as building density. A point-weight scale has been developed to rank the territory according to the degree of wind load. The method was tested using materials from the city of Salekhard.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Podryadchikova et al. (2026) studied this question.

synapsesocial.com/papers/6a192df7fab5b468c4416f8ehttps://doi.org/10.55186/2713-1424-2026-47-64
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Impact Based Forecast analysis uses multi-model ensemble data and National Digital Forecast data in ArcMap 10.8.12021 · 1 citations
  2. 2Comparison of ArcticDEM with airbome laser scanning data2025 · 1 citations
  3. 3Typology and inequality between island clusters and development areas in Maluku Province2019 · 6 citations
  4. 4Developing a hazard‐impact model to support impact‐based forecasts and warnings: The Vehicle OverTurning (VOT) Model2019 · 46 citations
  5. 5Digital Terrain Analysis Based on DEM2006 · 15 citations