Storage yards allocation in management plans in the amazon in mathematics programming media
Name: EVANDRO FERREIRA DA SILVA
Publication date: 23/07/2015
Advisor:
Name |
Role |
|---|---|
| GILSON FERNANDES DA SILVA | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| ADRIANO RIBEIRO DE MENDONÇA | Co advisor * |
| GILSON FERNANDES DA SILVA | Advisor * |
Summary: SILVA, Evandro Ferreira. Storage yards allocation in management plans in the amazon in mathematics programming media.2015. Dissertation (Master in Forest Sciences) - Federal University of Espírito Santo, Jerônimo Monteiro, ES. Advisor: Prof. Dr. Gilson Fernandes da Silva. Co-advisors: Prof. Dr. Adriano Ribeiro de Mendonça and Dr. Evandro Orfanó Figueiredo.
The introduction of the concept of forest management accuracy has enabled the management of native forests a significant gain in the planning of exploration activities. The methodology enables the creation of a database with quantitative, qualitative and global positioning of each individual inventoried. Although this technique has reduced costs and environmental impacts, there are still some gaps that need to be improved, including the allocation of cargo handling areas, which so far is carried out arbitrary way in planning, guided by the coverage radius and modeling Relief in computer environment. In this light, the study aimed at planning of ideal locations to hold the wood storage, so as to minimize the distances of drag. The study was conducted in an area of 638.1783 ha, which were allocated 7.896 possible storage yards to meet the demand of 1,478 exploitable individuals, taking into account the terrain elevation model, remaining individuals, permanent preservation areas and restricted areas. Finally, it performed the division of the area into sub-areas, guided by the river network. The model identifies great places allocation yards, governed by restrictions on distance and maximum volume stored. Thus, we tested four possible scenarios. We evaluated the results by Euclidean trees-yard distance and the planning of forestry. The assessment by the Euclidean distance resulted in reductions in distances drag in all scenarios, with scenario 1 (restriction of maximum capacity and maximum distance) presented the best performance, resulting in 16.81% reductions, 21.13%, 16.36% and 7.29%, respectively, in the total sum of the distances of drag, the average maximum distance carrier, the average distances and volume drag coefficient of variation of yards. Evaluating the positioning in relation to the yard, the stage 1 decreased by 20%, 32% and 67%, respectively, the shortest distance of 258 m intervals, between 258 and 300 m and greater than 300 m. In the analysis of scenarios conducted the planning of the operation, as the planning of forest roads, only scenario 1 showed an increase of 2.83% over the planning run, and the second scenario which obtained better results in decreasing 18.48% road construction, followed by scenario 4 (-9.35%) and scenario 3 (-0.36%). The relevance of the environmental impact was crucial to determine the best scenario. Although the scenario 1 has produced an answer to 3.22 km less than skid trails that scenario 2, it generated 2.94 km over construction of forest roads, concluding thus the best scenario performance 2. When analyzed the estimation of environmental impacts, all scenarios were reductions in relation to the run, and the second scenario generated the lowest environmental impact, down 13.90% over the planning run. Thus, it can be concluded that the scenario 2 (model with restriction maximum volume capacity and patio without restricting maximum distance carrier) had the best performance and the models proposed have been successful in relation to the planning run.
Keywords: Forest management, Amazon, Operational Research
