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Establishment and application of desertization dynamic simulation model

A dynamic simulation and model technology, applied in data processing applications, ICT adaptation, instruments, etc.

Inactive Publication Date: 2018-05-18
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, the ideas and methods of system dynamics have been gradually applied to the research of dynamic simulation of regional desertification and policy regulation. However, there are still few methods for dynamic simulation of desertification based on spatial system dynamics.

Method used

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  • Establishment and application of desertization dynamic simulation model
  • Establishment and application of desertization dynamic simulation model
  • Establishment and application of desertization dynamic simulation model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] Example 1: Establish a spatial system dynamic model for dynamic simulation of regional desertification coupled with natural and human elements

[0070] Based on the collection of 6 driving factors and related parameter data and rasterization (1km resolution), by quantifying the dynamic processes within and between the 6 driving factors and their influence and feedback on vegetation NPP, use ArcEngine establishes a spatial system dynamics model for dynamic simulation of regional desertification coupled with natural and human elements. The overall framework and structure of the model are as follows figure 2 Shown.

Embodiment 2

[0071] Example 2: The relationship and simulation of climate-soil water-potential vegetation NPP

[0072] The relationship structure diagram of climate, soil water, and potential vegetation NPP is shown in image 3 Shown.

[0073] The simulation method of the relationship between climate, soil water and potential vegetation NPP is:

[0074] (1) Based on the monthly rainfall and average temperature data of meteorological stations, and the maximum potential evapotranspiration (PET) data calculated according to the Penman-Monteith model, establish a monthly fitting equation of PET, rainfall and average temperature, and conduct monthly PET simulations; And according to the PET simulation results, calculate the water and temperature limiting factor data of vegetation NPP simulation;

[0075] (2) Based on rainfall, average temperature, maximum potential evapotranspiration (PET), soil sand content, and soil clay content data, according to the soil moisture module of the CASA (Carnegie Ames S...

Embodiment 3

[0081] Example 3: The relationship and simulation of economy-population-vegetation NPP

[0082] The relationship structure diagram of economy, population, and vegetation NPP is as follows Figure 4 Shown.

[0083] The simulation method of the relationship between economy, population and vegetation NPP is:

[0084] (1) Based on the data of regional gross product (GDP) and urbanization rate, establish a fitting equation between urbanization rate and GDP to simulate the impact of GDP on urbanization rate;

[0085] (2) Based on the data of regional gross product (GDP) and net migrant population, establish a fitting equation between net migrant population and GDP to simulate the impact of GDP on net migrant population;

[0086] (3) Simulate the total population based on the birth rate, death rate, and net immigration;

[0087]

[0088] (4) Based on the total population and the urbanization rate, simulate the number of urban and rural populations;

[0089] (5) Based on the number of rural popul...

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Abstract

The invention discloses establishment and application of a desertization dynamic simulation model. The method includes the steps of selecting weather, soil moisture, population, economy, animal husbandry and land utilization as driving factors of simulating dynamic evolution of region desertization, using vegetation net primary productivity (NPP) as a generality index of measuring desertization change and different driving force action; collecting data of each driving factor and performing rasterization on data of each driving factor; quantifying influence of weather and soil moisture on vegetation NPP, quantifying influence of economy and population on vegetation NPP, quantifying influence of grazing on vegetation NPP, and quantifying influence of land utilization on vegetation NPP; and summarizing data after the influence of the driving factors on vegetation NPP is quantified, calculating the value of actual NPP of the same year, and classifying desertization grades in the region according to NPP ranges corresponding to different desertization grades. Action characteristics of various driving force in different scenes in the future can be reflected, and the requirements for regional desertization dynamic simulation and policy regulation are met.

Description

Technical field [0001] The invention relates to the technical field of ecological protection, in particular to the construction and application of a dynamic simulation model of desertification. Background technique [0002] The situation of desertification prevention and control in my country is very severe. Formulating and implementing regional desertification prevention and control policies is the key to preventing the further expansion of desertification and improving the regional ecological environment. However, the current formulation of regional desertification prevention and control policies often lack the support of quantitative models and methods, and it is difficult to effectively predict and evaluate the possible future development of desertification and related effects under policy control at the beginning of policy formulation, so as to affect the desertification prevention and control policies. The scientificity and pertinence of the formulation and the implementati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/04G06Q10/067G06Q50/26Y02A90/10
Inventor 许端阳
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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