Research Of Geo-Informatic Tupu Model On Typical Salinization Region In The West Part Of Jilin Province

In recent years, Geo-informatic TUPU has become the hot spot in geo-informatic sciencefield, which integrates many advanced theories and technologies, such as cartography,computer science, geographic information science, remote sensing and so on. It makes gooduse of series of digital images or graphics to explore the spatial structure and thespatial-temporal rules of geographical objects or phenomena. Geo-informatic TUPU modelcan compactly, visually display the essential attributes of complicated problems and constructgraphics modes of corresponding phenomena. The most outstanding characteristics of TUPUmodel are multi-dimension, dynamic and pedigrees etc. Furthermore, it widens styles ofgeographical information multi-dimension expression and improves the weight ofgeographical TUPU information through combining geo-analysis thinking with computertechnology. Taking Changling County, Zhenlai County and Da'an City of Jilin Province as researchareas, based on remote sensing data, graphics operation and spatial analysis are carried out indifferent points of views, including temporal, spatial, scale (spatial resolution) and landscapeetc; all aspects analysis of this dissertation are abstractively expressed by digital graphics andseries of curves which are not stick to one pattern to discussing multi-dimension andcomplicated attributes of the salinized process. Linking up temporal-spatial characteristicswith landscape indices while combining mathematics model and Geo-informatic TUPUmodel, this dissertation puts forward the fundamental frame: temporal-spatial evolvementpattern, spatial extension process analysis and landscape characteristics analysis of salinizedland. Temporal-spatial evolvement pattern analysis extracts the essential quantity features andtransformation modes of salinized land, and also analyzes patches spatial geometricalparameters scale feature; spatial extending process analysis discusses the change rate andecological modes; landscape feature analysis utilizes landscape graphics indices to describesalinized land microcosmic graphics features and changes. This dissertation tries to deepenthe ability of data mining and multi-dimension expression of TUPU model and discuss therelationship between macroscopically dynamic transformation and microcosmic features inorder to provide scientific evidence for driving forces diagnosis, establishment of mechanismmodel and forecasting model for salinized land. This dissertation is divided into four chapters as follows: The first chapter summarizesthe present study of geo-informatic TUPU and soil salinization, then explains the main studycontents, significance, aims and study methods, data source and data processing methods inthis study. The second chapter illuminates the extent of study area and formation environmentof soil salinization, including natural circumstance and society economical background. Thethird chapter is composed of three parts which are the main framework of this study, andthose are essential modes of spatial-temporal changes, spatial extension process analysis andlandscape characteristics of salinized land. The fourth chapter summarizes study content ofthis paper and states the future work of this thesis.