Assignment Problems in Wildfire Suppression: Models for Optimization of Aerial Resource Logistics
| العنوان: | Assignment Problems in Wildfire Suppression: Models for Optimization of Aerial Resource Logistics |
|---|---|
| المؤلفون: | María José Ginzo-Villamayor, Jorge Rodríguez-Veiga, José Luis Sáiz-Díaz, Balbina Casas-Méndez, Iván Gómez-Costa |
| المساهمون: | Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización |
| المصدر: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname |
| بيانات النشر: | Oxford University Press, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 040101 forestry, Wildfire suppression, Resource (biology), 010504 meteorology & atmospheric sciences, Ecology, Operations research, Linear programming, Computer science, Points, Ecological Modeling, Flight routes, Forestry, 04 agricultural and veterinary sciences, Refueling, 01 natural sciences, Integer linear programming, Aerial resources assignment, 0401 agriculture, forestry, and fisheries, Wildfire management, Integer programming, 0105 earth and related environmental sciences |
| الوصف: | This is a pre-copyedited, author-produced version of an article accepted for publication in Forest Science following peer review. The version of record Rodríguez-Veiga, J., Gómez-Costa, I., Ginzo-Villamayor, M., Casas-Méndez, B., & Sáiz-Díaz, J. (2018). Assignment Problems in Wildfire Suppression: Models for Optimization of Aerial Resource Logistics. Forest Science, 64(5), 504-514 is available online at: https://doi.org/10.1093/forsci/fxy012 Wildfire containment activities involve a combination of important decisions that affect the evolution of the fire and effective resource deployment. When aerial resources (in particular aircraft and helicopters) are used, two tasks are assigned to the aerial coordinator: the allocation of aerial resources to flight routes (circular paths that aerial resources follow such that they have common loading and discharge points) and refueling points. In this paper, we introduce two models of linear integer programming to execute these tasks. The models are written using AMPL and the Gurobi solver engine and illustrated through examples. The objective of these models is to provide automatic and rapid support for the coordination of the abovementioned tasks. In order to enhance the robustness of the models, the scheduling times and the characteristics of the aerial resources are also considered. These models aim at minimizing both the containment time of the fire and the total flight hours. The models will reduce the risk of aerial collision of resources by taking into account the maximum number of aerial resources that can simultaneously load water at the same point. Moreover, management of refueling points is also achieved This research received financial support from the Ministerio de Economía y Competitividad of Spain through grant MTM2014-53395-C3-2-P, MTM2016-76969-P, MTM2017-87197-C3-3-P, and from ITMATI, Technological Institute of Industrial Mathematics, Santiago de Compostela, Spain, through the Enjambre project SI |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0838a049a6f33a2d3decce8a9605786f https://hdl.handle.net/10347/18646 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....0838a049a6f33a2d3decce8a9605786f |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |