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Research For Land Ues Carbon Emission And Footprint Of Anhui Province Based On Low Carbon Optimization Goal

Posted on:2013-10-13Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhengFull Text:PDF
GTID:2231330377951636Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
Along with the human activities, especially with rapid development of economyand population boom, total emissions of greenhouse gas has been increasedcontinually. Decrease of greenhouse gas emission has became one of the basicalmeasures to slove climatic issues and sustainable development in the world today. Asthe world’s largest developing country, China’s energy consumption grows with eachpassing day. China has already surpassed the United States as the world’s biggestgreenhouse gas emissions superpower since2009. Developing a lowcarbon economyis the only way to realize sustainable development in our country. As the material baseof human survival and development,land is a prerequisite of sustainable developmentand also primary carbon source and sink. In2009the United Nations climate changeconference,some questions of carbon emission related with land use, land use changeand forest (LULUCF) were brought into the global climate agreement and discussed.Land use can cause direct and indirect carbon emission, elevant data reveal thatcarbon emission caused by the neglected land use is as high as1billion tons,equivalently Japan’s gross annual amount. So land use play an important role in theglobal carbon cycle. Only the optimization of land use from four aspects, which isstructure, scale, mode and layout, can really realize land lowcarbon use and promoteeconomic development and the coordinated development of the energy saving andemission reduction in our country.This paper take Anhui province as an example, from tow aspects of energyconsumption and land use, the characteristics of carbon emission and footprint fromland use of Anhui province from2000to2009are analysed and discussedsystematacially through establishing ralations beteween economy, population andcarbon emission gross and beteween energy consumption and land use structure.Influences on carbon emission from different land use patterns are discussed. Majorresearch results are as follows:(1) Ten years changes of land use and energy consumption of Anhui provinceshows that the agricultural land, especially plough, decrease obviously. The primarytype of energy consumption of Anhui province is traditional energy, it’s amount of consumption rise rapidly. The analysis of influence on carbon emission from nconomyand population based on STIRPAT model indicates that population has the biggesteffect on explaining energy consumption. Energy consumption increase accordingly4.171%as population change1%every time.(2) Crabon emission gross in whole province rose as high as111.01%in tenyears. There are significant differences among carbon emission of the variousindustries, industria is most and building industry is least. Calculation of carbonfootprint shows that ecological deficit of Anhui province is23.2954million hm2in2009.(3) The established relation between carbon emission and land use patternindicates that The highest intensity of carbon emission per unit area isspecially-designated land, Both of agricultural land and hydraulic structure land arethe lowest.(4) The calculated result of GDP per capita and per unit area of every cities inAnhui province shows that the maximum values are concentrated in cities along theYangtze River, such as Wuhu and Maanshan, the minimum values in the plain in thenorthern Yangtze River and in mountain area the southern Anhui province.(5) The analysis of carbon emission efficiency of17cities by utilizing DEAmodel indicates that the effective units of technological efficiency are only at fourcities of Anqing, Huangshan, Suzhou and Chuzhou. And on that basis,13ineffectiveunits of DEA are optimized for low carbon from two aspects of input and output.
Keywords/Search Tags:Low carbon, Carbon emission, Carbon footprint, Land use pattern, Anhui province
PDF Full Text Request
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