G NABIYEV’s scientific contributions

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Formation characteristics of the Mudflow process in Azerbaijan and the division into districts of territory based on risk level (on the example of the greater caucasus)
  • Article

January 2019

·

17 Reads

·

1 Citation

Applied Ecology and Environmental Research

G NABIYEV

In Azerbaijani part of the Greater Caucasus, which has been intensively developed in recent years in order to exploit recreational resources. Based on the interpretation of the ASP within the Azerbaijani part of the Greater Caucasus based on the derived from the effect of mudflow processes (the amount of material taken out, the erosive effect of the flow on the valley, the accounting of the mudflows and the basin as a whole, and the prevailing types and classes of mudflows, the geomorphological conditions of formation and passage mudflows, and statistical data on past mudflows) on the actual and possible damage affecting the population from mudflows a map-scheme was drawn up according to five-point scale. On the scale there are zones with a high (once in two-three years, one strong mudflow is possible) - V, with an average (possibility for one strong mudflow every three-five years) - IV, with a weak (every five-ten years is possible 1 strong mudflow) - III, with potential mudflow hazard - II and where no mudflow processes are observed - I. The synoptic-climatic conditions of mudflow formation have been studied, the mudflow links with macro forms of circulation over Europe and Siberia have been revealed.

Citations (1)


... An integration of GIS-based multi-criteria decision making (MCDM) and analytic hierarchy process (AHP) was used to identify and map mudflow-prone areas in the study area (Kasiyanchuk et al. 2015). Spatial data layers of eight factors influencing mudflow occurrence, including elevation (El), slope (Sl), rainfall (Rf), normalised difference vegetation index (NDVI), aspect (As), curvature (Cu), soil type (St), and flow accumulation (FA) data were created in raster format using GIS and remote sensing methods (Gaprindashvili et al. 2021 Muddy mudflows are widespread in the lowlands, while rocky and rocky mudflows dominate in the mountains (Yancey et al. 2013 andNabiyev et al. 2019). The slope of the Earthʼs surface controls the rate of surface water flow. ...

Reference:

Identification of mudflow-prone areas in the Shakhimardan tourist and recreation zone using multi-criteria analysis and GIS
Formation characteristics of the Mudflow process in Azerbaijan and the division into districts of territory based on risk level (on the example of the greater caucasus)
  • Citing Article
  • January 2019

Applied Ecology and Environmental Research