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Analysis Of Coupled Human-Land Relationship Of Dingxi,Gannan And Linxia,Gansu,China

Posted on:2015-03-12Degree:DoctorType:Dissertation
Country:ChinaCandidate:X J GuoFull Text:PDF
GTID:1265330428498906Subject:Human Geography
Abstract/Summary:PDF Full Text Request
At present, environmental issues associated with rapid economic development were incorporated into government’s and people’s particular attention. This paper takes Gannan Tibetan Autonomous Prefecture, Linxia Hui Autonomous Prefecture and Dingxi City as samples, using principal component analysis to establish the coupling evolution indices of Human Land System, including human activity index, ecological environment index and policy interference index three hierarchies. On this basis, build non-parameter regression model under cultural impact and policy interference condition, to study the coupling evolution of Hum an-land system of Sino-Tibetan-Hui (STH) Ethnic Areas, revealing the space of man-land relationship differentiation law. The results indicate:(1) From1980to2008, human economic and social activities, ecological environment and policy interference of Dingxi, Linxia and Ganan have the same or similar evolutionary trajectory.(2) The coupling relationships among human activities, ecological environment and policy interference have significant regional differences, the relationship of ecological environment and human activities and policy interfere of Dingxi, Gannan and Linxia is inverted U-shaped curved surface, positive U-shaped surface and N-type surface respectively.(3) The ecological environment index fluctuated by the policy changing, the more fragile the ecological areas were, the higher the sensitivity of policy interference on its environment, so government develop environmental policies should be more cautious. In future, the government should strengthen policy guidance, mobilize the enthusiasm of citizen participation, and increase policy argumentation and publicity period, and make policy more democratization.
Keywords/Search Tags:Human-Land relationship, principal component analysis, non-parametric model, evolution, Sino-Tibetan-Hui Ethnic Areas
PDF Full Text Request
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