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A spatial sampling network design method for soil organic carbon considering the non-stationary characteristics of spatio-temporal distribution

A spatio-temporal distribution and spatial sampling technology, applied in design optimization/simulation, calculation, calculation model, etc., can solve the problems of inability to accurately describe the continuous non-stationary characteristics of time and space, neglect of time-varying characteristics, etc., to achieve super optimization ability, improve Investigate the effect of precision, rapid convergence and optimization capabilities

Active Publication Date: 2020-01-10
WUHAN UNIV
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Problems solved by technology

The specific performance is as follows: (1) Complete repeated sampling and complete replacement sampling can only describe the spatial non-stationarity of variables, ignoring its time-varying characteristics; (2) Adaptive sampling methods involve the use of hierarchical methods or geometric ratio methods to describe space-time Non-stationary and spatial-temporal anisotropy, but it is still unable to accurately describe the continuous non-stationary characteristics of space-time

Method used

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  • A spatial sampling network design method for soil organic carbon considering the non-stationary characteristics of spatio-temporal distribution
  • A spatial sampling network design method for soil organic carbon considering the non-stationary characteristics of spatio-temporal distribution
  • A spatial sampling network design method for soil organic carbon considering the non-stationary characteristics of spatio-temporal distribution

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Embodiment 1

[0079] 1. Extract and integrate the basic data of soil organic carbon sampling network design in a certain area. The integrated data is the 10-year sequence attribute information of each geospatial grid unit.

[0080] 2. Taking the geographic grid unit as the basic unit, the spatial-temporal regression method was used to analyze the regression of the soil organic carbon value of each unit and the land use and cover type, elevation, slope aspect, slope position and surface relief at different time nodes. Relationship, establish the space-time regression equation. The regression equation was used to calculate the estimated soil organic carbon value of the geographic grid unit, and the difference between the value and the real value was obtained to obtain the regression residual error of the soil conditional spatiotemporal regression.

[0081] 3. Establish the covariance model of soil organic carbon spatio-temporal variation, and set κ according to the variation coefficient of so...

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Abstract

The invention relates to a soil organic carbon spatial sampling network design method giving consideration to the non-stationary characteristic of spatial-temporal distribution. The soil organic carbon spatial sampling network design method comprises: firstly, extracting basic data of soil organic carbon spatial sampling network design and carrying out integration; then establishing a regression relationship between soil organic carbon spatial-temporal changes and multiple time series attributes by applying a spatial-temporal regression method, and mapping a soil organic carbon spatial-temporal changing process into a spatial-temporal stochastic process formed by a soil organic carbon multi-factor spatial-temporal regression tendency and a regression residual; finally, constructing a soil organic carbon spatial sampling network design model, using the data as model input data, evaluating a fitness function, establishing a mapping relationship between a sampling scheme design problem and a particle swarm optimization algorithm, and solving to obtain a soil organic carbon spatial sampling network optimization scheme. According to the method, investigation accuracy is greatly improved, meanwhile, rapid convergence and extra-strong optimizing capacity of the particle swarm optimization algorithm are sufficiently played, and reasonability, applicability and design efficiency of a soil organic carbon spatial sampling network are promoted.

Description

technical field [0001] The invention relates to the field of land resources investigation, in particular to a soil organic carbon spatial sampling network design method. Background technique [0002] Soil organic carbon pool is the largest active carbon pool in terrestrial ecosystems, and plays a key role in slowing down carbon release and regulating global carbon balance. Accurate determination of soil organic carbon storage has become the focus of the current scientific community and governments. In my country, with the goal of "practicing energy conservation and low carbon, and building a beautiful China", the timely implementation of high-precision soil organic carbon sampling surveys and monitoring will provide strong decision-making support for the scientific formulation of low-carbon development strategies. Facing the multi-level needs of scientific research and development, it is imperative to study efficient soil organic carbon sampling methods in time and space. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/25G06F30/18G06N3/00G06Q10/04G06Q50/26
CPCG06F30/18G06F30/20G06N3/006G06Q10/043G06Q50/26
Inventor 刘殿锋刘耀林赵翔
Owner WUHAN UNIV
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