Abstract:

This paper took Shanghai for example， based on the remote sensing image of research area， estimated carbon emission and carbon footprint of different land use patterns by using carbon emission model and carbon footprint model. The data of land use in Shanghai area was extracted， and the characteristics of land use were analyzed by using remote sensing image of the area. Based on the default [JP2]values of IPCC Guideline for National GreenhouseGas Emission Inventory and the regional social statistical [JP]yearbooks， the different land use carbon emissions of this area were calculated. On this basis and combined with the utilization of the land in this region，carbon footprints of Shanghai in 1995， 2000 and 2010 were evaluated， and then the corresponding low carbon regulation strategy was proposed. The conclusions can be drawn as follows. The total carbon emissions rose from 33，520，600 tons in 1995 to 43，326，500 tons in 2010， while the per capita carbon footprint decreased from 0.63 hm2/ p in 1995 to 0.5 hm2/p in 2010， because of the population growth. The main carbon source was construction land，the main carbon sink was woodland， and the main carbon footprint were forest carbon footprint and coal energy carbon footprint. The carbon sinks such as forest land and grassland area also increased， but far less than the rate of increase of construction land area， thus the carbon footprint deficit had expanded each year. The results showed a great increase in carbon footprint and it was severe to reduce the carbon footprint. At last， some suggestions were put forward for further effort to reduce carbon footprint， such as improving the energy production and consumption structure， strengthening the regional ecological management， enhancing the carbon efficiency of land， which can effectively reduce the area of carbon footprint. Finally， some shortages of this research as well as suggestions for further studies on more detailed relationships between different land use patterns and carbon footprint were put forward.