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Industrial waste discharge statistical data downscaling method

A technology of industrial waste and statistical data, applied in the field of data processing, can solve the problem that the statistical data of industrial waste cannot be obtained directly, and achieve the effect of enriching the theoretical system

Pending Publication Date: 2021-11-30
DONGGUAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the statistical data of industrial waste at the county level cannot be directly obtained, which brings challenges to the study of ecological security at the county level

Method used

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  • Industrial waste discharge statistical data downscaling method
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  • Industrial waste discharge statistical data downscaling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Example 1: Downscaling between national scale and provincial scale

[0045] Taking the downscaling of national-scale industrial waste gas emissions to provincial-scale industrial waste gas data as an example, the Environmental Kuznets Curve Downscaling Model (EKCDM) is hereinafter referred to as EKCDM. On the basis of the Environmental Kuznets Hypothesis (EKC), the independent variable is the per capita GDP at the national scale, and the annual industrial waste gas emission per capita is the dependent variable. figure 2 The shown Environmental Kuznets Downscaling Model (EKCDM), in which the ordinate is the pollution level, indicating the environmental quality; the abscissa is the national income, indicating the economic development. The parametric model of the fitted curve is:

[0046] ;

[0047]From the above formula, it can be obtained that the relationship between national-scale industrial waste gas emissions and per capita GDP conforms to the most classic inv...

Embodiment 2

[0049] Example 2: Downscaling between provincial and municipal scales

[0050] Here, the downscaling of industrial waste gas emissions in Guangdong Province to the industrial waste gas emissions of its cities is chosen as an example to introduce the downscaling process of EKCDM between provinces and cities. Similar to Example 1, first establish the EKCDM with provincial-scale per capita GDP and per capita industrial waste gas emissions, such as Figure 4 As shown, the parameter model of the fitted curve is:

[0051]

[0052] From the above formula, it can be obtained that the downscaling model of the provincial scale conforms to the classic "U" quadratic function parameter model, and the fitting accuracy is 0.96, and the fitting accuracy is good. Therefore, according to this model, the annual discharge of industrial waste gas of each city in Guangdong Province is calculated, and the calculation process is the same as that of Example 1. The verification analysis chart ...

Embodiment 3

[0054] Example 3: Downscaling between city scale and district / county scale

[0055] In Example 3, the statistical data of industrial waste gas emissions in Dongguan is downscaled to the industrial waste gas discharge data of 32 towns and streets in Dongguan as an example to illustrate the use of EKCDM to obtain data at the district and county scale.

[0056] Similar to Example 1, first establish the EKCDM based on the city-scale per capita GDP and per capita industrial waste gas emissions, such as Figure 6 As shown, the parameter model of the fitted curve is:

[0057]

[0058] From the above formula and Figure 6 It can be seen that the downscaling model of industrial waste gas in Dongguan conforms to the classic "U"-shaped quadratic function parameter model, and the fitting accuracy is 0.88, and the fitting accuracy is relatively high. Therefore, according to this model, the annual emissions of industrial waste gas in various towns and streets in Dongguan are calcul...

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Abstract

The invention discloses an industrial waste discharge statistical data downscaling method, and relates to the technical field of data processing. The method comprises the steps: taking the per capita GDP of a higher-level administrative unit as an independent variable, taking the per capita industrial waste discharge as a dependent variable, carrying out the fitting of an environment Kuznets downscaling model, and when the fitting precision is not less than 0.65, based on the environment Kuznets hypothesis, assuming that the environment Kuznets relationships of two adjacent administrative units are consistent in a certain research time period, obtaining a fitting curve of the adjacent subordinate administrative units and the total annual industrial waste discharge amount of the subordinate administrative units, comparing the fitting curve and the total annual industrial waste discharge amount with an actual value, and when an evaluation index meets a requirement, downscaling the commercial-scale industrial waste discharge amount into the district-county-scale industrial waste discharge amount data, and ending the command; and otherwise, adjusting the research time period to perform re-fitting on the index. According to the invention, downscaling of industrial waste statistical data among different scales is realized, and missing industrial waste data, especially industrial waste data of district and county scales, is obtained.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for downscaling statistical data of industrial waste discharge. Background technique [0002] Due to the contradiction between the people's ever-growing needs for a better life and unbalanced and inadequate development, what people pursue is no longer just simple survival but more emphasis on enjoying life, putting forward higher requirements for all aspects of life. As the carrier of human survival and development, the environment has received extensive attention. Scholars continue to refine the scale of the research area, hoping to find the root of the problem from a smaller unit. With the advent of urbanization and industrialization, the impact of industry on ecological security cannot be underestimated. The output of high-load environmental waste has caused great pressure on the environment and ecology. Therefore, industrial waste is included in the environme...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F30/20G06F113/08
CPCG06Q10/06393G06Q50/26G06F30/20G06F2113/08
Inventor 苏美蓉李诗婷徐超黄乾元
Owner DONGGUAN UNIV OF TECH
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