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Evaluation Of Eco-environment Fragilily With BP Artificial Neural Networks In Wulate Country, Inner Mongo Lia, China

Posted on:2010-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:G J SunFull Text:PDF
GTID:2121360278996968Subject:Physical geography
Abstract/Summary:PDF Full Text Request
Since the Industrial Revolution, the human social economy has developped swiftly, and the material wealth has satisfied greatly. Meanwhile, gradual reduction of the non-renewable resources,excessive use of the renewable resources, and substantial emissions of the toxic pollutant, depletion of these natural resources has triggled a series of the eco-enviromental problems, such as soil erosion, expansion of desertification area, grassland degradation, reduce of the forest area, biodiversity loss, etc. The vulnerable eco-enviroment has seriously affected health human depositors and development. At the international level, research on the eco-enviromental vulnerability has been made fruitful.Interioly,the most relevant research has been mainly concentrated on the oasis in northwest arid inland area.Wulate County locates in the northern farming-pastoral region, which is dryness and has little rain. Excessive human activity has made the ecological environment of the Wulate County facing soil salinization and basification, desertification and grassland degradation, which have seriously harmed people's lives and property safety, and socio-economic development, so study and protection to the eco-enviromental vulnerability has been imminent.In this paper, the territory of the eco-enviroment in Wulate County were considered to the research object, the vulnerability was evaluated by combining qualitative and quantitative methods, the reasons for causes of the vulnerability were analyzed from natural and man-made causes, and the concrete countermeasures of resuming and rebuilding were brought forward aiming at the vulnerability. This paper is trying to provide reference to restoration and construction of the eco-enviroment of Wulate County and basin outflow, and regional sustainable development. The following six parts was divided to explain the questions.The first part of this paper starts by describing the background and significance of the research, the current research, research theory and method on domestic and foreign eco-environmental vulnerability.Subsequently,the geographic profile,ecological enviroment, and driving forces analysis of the eco-enviromental vulnerability of WuLate County was summed up. First of all, the geographic environment was depicted as this aspects, such as, climate, geology, hydrology, topography, vegetation, etc. Administrative divisions and population were used to account for the social economic situation. In the next place, the principal componant analysis was employed to analyze driving forces which affected the eco-enviromental vulnerability, here, summing up as follows, levels of agricultural modernization and industrial structure, backgrounds of vegetation cover, population quantity, and climatic conditions.The third part evaluated the eco-enviromental vulnerability. For one thing, principles of the evaluation was fixed on. In succession, mainly according to the principles and the local situation, simultaneity, combining the results of the PCA, the evaluation system was contructed. Finally, eco-evironment of the status quo was estimated by the BP Artifical Neural Network.The next part mainly clarified causes of the vulnerability. To sum up, there were two aspects which made the frangibility, natural and man-made reasons. Recent years, the main reason affecting the eco-environmental degradation in Wulate County were overgrazing, over-cultivation, and exploitation of water resource.Fifthly, five countermeasures which were deemed to improve the eco-environment were advanced.The last part summarized the whole thesis and brought forward expectation . In accordance with the deficiency existing in this research, aspects which should be awaited the further amelioration and research were put forward.
Keywords/Search Tags:eco-enviroment fragility, index of assessmental system, BP Artifical Neural Networks, countermeasures research, Wulate County
PDF Full Text Request
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