Research On Low-Carbon Optimization And Control Of Land Use In Mining Area Based On DNDC And Grey Multi-objective Programming Model

China’s coal production accounts for nearly 45% of the world’s total coal production,and coal mining destroys a large amount of land to produce huge carbon emissions,and low-carbon emission reduction has become the responsibility and consensus of China and other world coal mining countries.Scientific research shows that land use optimization can greatly increase carbon sinks,which is of great significance for promoting regional and global low carbon emission reduction.However,there are few studies on the optimization of low-carbon land use in wells and coal mines at home and abroad,and there is also a lack of response theory to guide the planning and practice of low-carbon land use in the underground coal mining area.This paper takes the concentrated contiguous coal mine area in the large coal base of large-scale Jinmei Group as the research object.Firstly,based on the Landsat remote sensing image from 1986 to 2015,the land use type changes in the past 30 years are analyzed,and then the DNDC model is used.Simulate and optimize the carbon emission factors of cultivated land,forest land and grassland land use types,continuously adjust their carbon emission factors to reduce the carbon emission coefficient,and then use the carbon emission coefficient method and some IPCC algorithms to calculate each land in the mining area.Using the carbon emissions,a low-carbon scenario for land use was simulated using a grey multi-objective programming model(GMDP)and a low-carbon optimization scheme was proposed.The main conclusions are as follows:(1)The land use structure of the mining area from 1986 to 2015 was mainly based on cultivated land,forest land and grassland,but the total area of cultivated land,forest land and grassland continued to decline.The construction of transportation land and mining land is increasing,and the mining land is growing at the fastest rate.(2)After using the DNDC model for localization verification,it can be used to simulate the cultivated land,forest land and grassland ecosystem in the mining area,so as to simulate the carbon emission coefficient,the results are 3.301t/hm~2,-1.042 t/hm~2,-0.749t/hm~2 respectively,after optimization simulation,it was found that the slope,soil properties and farming measures all had important effects on it,and the optimal combination measures were proposed through continuous regulation.(3)By using the carbon emission coefficient method and the IPCC method to settle the carbon emissions of the mining area,it is found that the land use carbon emissions in the mining area increased significantly from 1986 to 2015,from 137,900 tons to 297,200 tons in 1986 to 2015,the total increase of about 159,300 tons,about 2.3 times.From 1986 to 2015,the carbon emissions of cultivated land,forest land and grassland generally showed a decreasing trend,while the carbon emissions of construction and transportation land and mining land increased significantly.It can be seen that the carbon emissions from human activities contribute greatly to the greenhouse gas emissions of the mining area.(4)By using gray multi-objective planning to optimize low-carbon land use in mining areas,this study concludes that the low-carbon land use optimization plan is the future target of land use structure adjustment and energy industry development.This optimization program achieves the goal of low carbon emission reduction while maintaining high economic efficiency.