EventsThe 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade
Published
with-doi10.3390/IECF2021-10790 (registering DOI)
This submission belongs to the session S6. Forest Wildfire Hazards, Risks and Other Disasters of the event The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade
Published date
31 Aug, 2021
Academic Editor
author-avatarVictor Resco de Dios
Citation
Ivan Bacherikov, Anastasia Simonenkova, Mstislav Simonenkov, Dmitry Danilov, Application of DTW index in MIP model for fire ponds and access routes layout optimisation, in Proceedings of The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade, 1 September–15 September 2021, MDPI: Basel, Switzerland, doi: 10.3390/IECF2021-10790
Share
Email
Facebook
Twitter
LinkedIn

Application of DTW index in MIP model for fire ponds and access routes layout optimisation

Anastasia Simonenkova 2
Mstislav Simonenkov 3
1. LLC «Smart Digital Solutions», Russia
2. St. Petersburg State University
3. St. Petersburg State Forest Technical University
4. Leningrad Agricultural Research Institute «Belogorka» branch office of Russian Potato Research Center
Abstract

Wildfires are a significant worldwide problem. In Russia alone, they caused about 150 million euros worth of damage in 2020, therefore the development of solutions to control forest fires is particularly important. In this paper, we have proposed a Depth-To-Water index based solution to find the optimal location of fire ponds and access roads to them. Digital Depth-To-Water maps were created in a geographic information system for two datasets: in Lohusuu, Estonia and Podporozhye, Russia. Using a mixed integer programming model with spatial Depth-To-Water data, potential locations for fire ponds were derived on the basis of one fire pond of 100 m3 per forest compartment. Access routes for firefighting vehicles to ponds were generated using a mixed integer programming model, taking into account the existing road network. The results obtained in combination with the known compartments fire hazard classes allows both to reduce potential losses from wildfires and to ensure compliance with the requirements of existing Government regulations.

Keywords
wildfires
depth-to-water index
mixed integer programming
fire ponds
optimisation
Manuscript
Poster
IEFC2021.pdf
Quantification of Pinus pinea pinecone productivity using machine learning of UAV and field images
VARIATION IN FOREST COVER DUE TO FIRE IN SIERRA DE LA VENTANA, PROVINCE OF BUENOS AIRES, ARGENTINA