Spatial analysis method for influence between carbon dioxide emission elements under condition of precise temporal and spatial scales

Abstract

The invention discloses a spatial analysis method for influence between carbon dioxide emission elements under the condition of precise temporal and spatial scales. The spatial analysis method includes determining carbon dioxide emission spatial ranges by the aid of carbon dioxide flux observation points; calculating carbon dioxide flux in the carbon dioxide emission spatial ranges; carrying out gridding division on the carbon dioxide emission spatial ranges; calculating carbon dioxide solid emission elements one by one in the carbon dioxide emission spatial ranges; identifying carbon dioxidesolid emission element primary attributes of each grid unit and solving carbon dioxide flux influence factors of the various carbon dioxide solid emission elements by the aid of multiple regression analysis processes according to the carbon dioxide flux and calculation data; combining the influence factors with one another, carrying out buffer analysis on the grid units and determining the influence between the carbon dioxide solid emission elements and influence on carbon dioxide flux of integral target regions.

Description

technical field [0001] The invention relates to the field of cities and the ecological environment, in particular to a spatial analysis method for the influence of carbon dioxide emission elements on a fine temporal and spatial scale. Background technique [0002] Urban areas contribute more than 70% of global carbon dioxide emissions and have already had a profound impact on the global carbon cycle and climate change. At present, the time scales of research data related to urban carbon dioxide emissions at home and abroad are mostly annual and daily scales, and the spatial scales are mostly urban scales, with low temporal and spatial precision, which cannot effectively reveal the internal carbon dioxide in large cities (here refers to cities with a population of more than 1 million). However, road traffic, population density, vegetation, and soil in different areas of large cities have great differences in the impact of urban carbon dioxide emissions. For example, the range...

AI Technical Summary

Problems solved by technology

At present, the time scales of research data related to urban carbon dioxide emissions at home and abroad are mostly annual and daily scales, and the spatial scales are mostly urban scales, with low temporal and spatial precision, which cannot effectively reveal the internal carbon dioxide in large cities (here refers to cities with a population of more than 1 million). However, road traffic, population density, vegetation, and soil in different areas of large cities have great differences in the impact of urban carbon dioxide emissions. For example, the range of carbon dioxide flux in a 10km×10km grid space scale in large cities in the United States reaches 20-160kgCm -2 yr -1 , therefore, cities urgently need to formulate policies on a finer spatial and temporal scale to significantly reduce carbon dioxide emissions

[0003] Existing flux observations in the field of ecology can determine the flux of carbon dioxide at the micro-spatial scale, but cannot effectively identify its source; human geography can calculate the carbon dioxide emissions of major carbon sources at the micro-spatial scale through household surveys, model simulations, and other methods , but what are the CO2 emissions from that space? How big is the contribution of each major carbon source? How is the spatial distribution? However, most of the studies on carbon dioxide emissions at fine spatio-temporal scales in large cities focus on the total carbon dioxide emissions in the target region or the spatio-temporal change process of carbon dioxide emissions from single carbon sources such as traffic, buildings, vegetation, and soil. , while big cities are areas with complex carbon dioxide emissions, existing research cannot objectively reveal the inherent process characteristics of carbon dioxide emissions from multiple carbon sources in urban micro-space

However, at present, the accounting ranges and methods of various elements of carbon dioxide sequestration are not uniform, which leads to large differences in the accounting results of various elements of carbon dioxide emissions.

In addition, the existing carbon dioxide emission accounting can only conduct statistics on the emissions in the region, and analyze the influence of various elements on the carbon dioxide flux in the whole region, which cannot reflect the spatial distribution of carbon dioxide emissions in the region, and it is impossible to calculate the carbon dioxide emissions based on the spatial distribution. Analysis of mutual spatial influence among solid removal elements, and determination of the degree of influence on carbon dioxide flux in the entire target area

[0004] For the above problems, there is still no feasible solution

Images