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Study On Dynamic Change Of Wetlands In The Trans-Boundaryregionsbetween China And Russia In Ussuririver Basin

Posted on:2015-12-16Degree:MasterType:Thesis
Country:ChinaCandidate:W D ManFull Text:PDF
GTID:2181330431979965Subject:Human Geography
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Wetlands, forest and marine are called as three ecosystems of Earth three, the wetland is the largest biodiversity in natural ecosystems, as well as man’s most important habitats.Wetlands can bring enormous resources for human. It has significance for environment, economy and social. It is capable of regulating the climate and purifying water. There are plenty of animals and plants depend on wetlands, they rely on wetlands reproduction and renewal of populations. Wetlands is known as "Natural Gene Pool of the Species." Due to its significance of the Earth It was also become "kidney of the Earth" by scholars. Role of wetlands is not limited to the natural landscape and its aesthetic, educational, cultural and spiritual significance. Wetland has significance in the long run, each scholar’s focus has turned to scientific research in the field of wetland research. At present, the wetlands have become important areas of concern to research scholars.In this paper, the trans-boundary region in China and Russia in Ussuri River Basin is sued as study area. After three remote sensing images pre-processing in research region in1989,2000and2010, using interpretation of remote sensing image based on object-oriented technology to receive within the study area wetland classification results. Use GIS as research platform, quantitative methods, statistical analysis, comparison methods are used to analyse the classificatbn results and obtain wetland dynamic variation characteristics in the study area. At last, from natural and human aspects analyse driving forces of wetlands dynamic change. The main conclusions of this article are as fellows:1, Using image analysis method based on object-oriented technology, after a number of trials to determine the optimum partition parameters, in which scale Landsat image segmentation is10, scale factor and compactness are0.2and0.3, respectively. Image analysis method based on object-oriented technology to accurately achieve wetland information extraction and classificatioa From the classificatbn results, image classification method based on object to avoid the "salt and pepper". Established on the basis of the rules set by subordinate function method for classification of wetlands in the study area, we can get a high classification accuracy, and the Kappa index of wetland types are over80%.2, Wetland type includes herbaceous swamps, shrub swamps, forests, swamps, rivers, lakes, ponds and canals, reservoirs/pit/paddy field drains the eight categories in the trans-boundary region in China and Russia in Ussuri River Basin. Transformation of wetland and non-wetland, mainly of Naoli River basin in the country and-the Muling River basin, as well as Russia Hall River basins.From1989to2010, Paddy is Ussuri River area’s largest Sino-Russian cross-border areas, herbaceous wetland is the largest in area within this period of time. Changes in Naoli River basin occurs mainly in the country and the Muling River basin, as well as Russia Hall River basins..3, Wetland changes are volatile in China and wetland changes are ease in Russia. Among them, non-wetlands into wetlands in China is more dramatic. On the contrary, wetland into non-wetlandis is more dramatic in Russia. China and Russia territory between the three types of transformation are very different, mostly transformed in different ways, transformation is occurring in China’s major non-wetland into wetland conversion, and conversion of natural wetlands is constructed to human wetlands and non-wetland; in Russia transformation occurs mainly in the territory is between the wetland and non-wetland. In both countries the total area of wetlands of different types varies.4, integrated natural driving force and human driving forces-analysis of wetland change, from a long scale, natural factors and human factors to changes in wetland types have certain driving effect. But in a short time scale, human factors is undoubtedly the main drivers of wetland change. The main influencing factors of wetland change are different in different regions. There are certain differences of its main driving force. In contrast, wetland changes in trans-boundary region of Ussuri River between China and Russia are mainly paddy fields increases and herbaceous wetlands to reduce in China, and the main drivers are for human driving factors. Wetland changes in trans-boundary region of Ussuri River between China and Russia are mainly among natural wetlands in the Russia territory. The more is natural factors, and human factors is smaller.
Keywords/Search Tags:Ussuri River, Wetlands, Dynamic monitoring, Object-orientedtechniques, Trans-boundary regions, Driving forces
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