Font Size: a A A

Study On The Assistant Decision And Visualization Of Forest-restoration After Sichuan Earthquake

Posted on:2015-01-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:R X HouFull Text:PDF
GTID:1263330431465856Subject:Forest management
Abstract/Summary:PDF Full Text Request
In Sichuan, the forestry resources is rich. In recent years,the earthquake disaster, have putforward the severe problem to forestry management and decision analysis and many otheraspects. According to the damage situation of Sichuan after the earthquake disaster of forest,the article analyed the forest resources data and business data of before and after theearthquake. Combined with forest restoration project planning, it analyzed the features ofbusiness process decision on forest restoration.And concluded the structure the auxiliarydecision system of forest restoration after the earthquake. The article analyed the relationshipwith the elements for forest restoration visualization, studied the technology to build forestrestoration simulation, and with the information service,the information service platform isestablished for forest restoration visualization.1)The forest-restoration post-earthquake in Sichuan, assistant decision systems,and threeaspects of forest-restoration visualization are the important contents in this article.According toanalysis for the post-earthquake recovery operations levels,this paper sort out the features ofassistant decision of the forest-restoration after Sichuan earthquake.According to the spatialand time scale features of forest-restoration, this paper analyzes and buildsthevisualhierarchyofforest-restoration after the earthquake.Through interaction relations of visualization andassistant decision of forest-restoration after the earthquake, decision makers are supportedtomake the optimal decision.For the four dimensions analysics of visualization service levels,business, management, functional and technical in forest-restoration after the earthquake,thevisualization decisionmodelis builded.This model is based on the forest survey data,andeffected with the visualization service levels, business, management, functional and technical.2)Analyzed hierarchy and relevance about the data such as forestland resources data,terrain data, the afforestation plan data which from the earthquake disaster situation inSichuan,comprehensive analyzed the characteristics of the various data to carry out the data to support the forest-restoration assistant decision after the earthquake,and also established a database for visualization service platform.3)Studied the information services architecture about forest-restoration policy-decisionafter the earthquake,following the progressive principle which from macroscopic tomicrocosmic level, according to business process characteristics about post-earthquakerecovery management forestplanning, put forward technology system which contain theafforestation recovery planning assistant decision-making information service,forestsmall-class job design aided decision-making information service and participatosrydecision-making information service, improved efficient and scientific in forest-restorationdecision-making after the quake.4)Analyzed the correlation, expressive, interactivity about the elements which consists ofpost-earthquake forest-restoration visual simulation scenarios,determined the relationshipbetween the space visualization describe layer in visual scene and main factors;analyzedcharacteristic about the earthquake forestland restore visual features on spatial scale and timescale,studied the trees to visualize changes of scene stands constituted with using treescompetition model, growth model and the dead model;studied the key technologies aboutefficient and dynamic forestland restoration visual information after the earthquake undermulti-scale environments,achieved and builded visualization in forestland recovery scenarios.5)Visualization information service platform is established for the sichuan earthquakeforest-restoration,provided services for post-earthquake forest resources comprehensivemanagement planning decision-making. Integrated multi-level tree models,reflected theafforestation recovery after the earthquake engineering business processes in dynamic andintuitive,provided effective support for decision-maker through two and three-dimensionallinkage integrated visualization.
Keywords/Search Tags:Forest restoration, Assistant decision, Visualization, Dataintegration, Spatio-temporal scaling
PDF Full Text Request
Related items