Comprehensive analysis method for spatial and temporal distribution of environment variables
A technology of environmental variables and spatial-temporal distribution, applied in instruments, data processing applications, calculations, etc., can solve the problems of lack of analysis methods and quantitative indicators, obstacles to the application and promotion of methods, and lack of other problems, and achieve the effect of improving the accuracy of spatio-temporal prediction
Active Publication Date: 2018-01-19
HUAZHONG AGRI UNIV +1
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This hinders the application and promotion of the method
[0006] (2) Lack of consideration of spatiotemporal distribution trends: At present, most of the research and applications are based on spatiotemporal discrete measurement points for spatiotemporal modeling and prediction
[0007] (3) Lack of spatio-temporal uncertainty analysis methods: In spatial geostatistics, uncertainty analysis and mapping can obtain the probability spatial distribution map of the research object exceeding or not ex
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[0060] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0061] The definition of space-time random field is as follows: Define space-time random field Z(p)={Z(s, t)|s∈S, t∈T}, where S∈R 2 , representing the space domain, usually S={s 1 ,s 2},s 1 ,s 2 Used to represent spatial geographic coordinates; T∈R, representing the time domain. For example, under the framework of the Kriging method, the cadmium content z(p i ), p i =(s i , t i ), i=1,...,n, if you want to predict the soil heavy metal cadmium at the spatio-temporal position p 0 =(s 0 , t 0 ) at the content value z(p 0 ). Here, suppose z(p i ) is a realization of the space-time random field Z(p).
[0062] Implementation of Step S1
[0063] Under the condition of stationary assumption (intrinsic assumption), the spatio-temporal empirical variogram of R(p)=R(s, t) of the residual part of spatio-temporal geographic attributes can be e...
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The invention discloses a comprehensive analysis method for spatial and temporal distribution of environment variables, and the method comprises the steps: calculating a test variation function valueat each spatial and temporal lag distance, and carrying out the fitting of a theoretical variation function model; combining the spatial and temporal sampling point data, carrying out the spatial andtemporal Kriging interpolation, and estimating the geographic attribute value of an unmeasured spatial and temporal position; building a quantitative relation between environment variable values and aregional position, forming a trend of the spatial and temporal distribution of environment variable values, and obtaining a prediction result based on the spatial and temporal Kriging; proposing various types of spatial and temporal uncertainty estimation methods; and finally estimating the spatial and temporal distribution of environment variables visually. The method gives full consideration tothe spatial and temporal structural property and continuity of the environment variables, achieves the full simulation and analysis of the spatial and temporal distribution characteristics of the environment variables from many aspects: modeling, prediction, trend analysis, uncertainty analysis and the space and time, and provides a basis for the spatial and temporal decision making and auxiliaryanalysis for regional environment estimation and related departments.
Description
technical field [0001] The invention relates to the technical field of resource ecological environment modeling and evaluation, in particular to a comprehensive analysis method for temporal and spatial distribution of environmental variables. Background technique [0002] The ecological and environmental attributes of resources (such as soil water and salt, heavy metal content, atmospheric particulate matter concentration, etc.) generally have temporal and spatial correlations, which are manifested in the structure of spatial distribution and the continuity of changes over time. At present, with the development of monitoring means and equipment, it is possible to continuously monitor and measure the environmental attributes of regional resources, and it is possible to obtain multi-period environmental variable data. Based on these data, obtaining the spatio-temporal distribution characteristics of the researched object and mining more information contained in it is to explor...
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Inventor 杨勇郭明武黄巍傅佩红林承达李浩
Owner HUAZHONG AGRI UNIV
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