CN-120875604-B - Intelligent evaluation system and method for soil ecological function

CN120875604BCN 120875604 BCN120875604 BCN 120875604BCN-120875604-B

Abstract

The invention discloses an intelligent evaluation system and method for soil ecological functions, in particular to the field of environmental science, the system comprises a multi-source heterogeneous data acquisition layer, a multi-dimension index resolving engine, a multi-cascade analysis controller and an intelligent evaluation module. The invention innovatively builds a nonlinear cascade analysis model, accurately identifies the ecological phase transition critical point through structure-organism-environment multidimensional coupling calculation, effectively improves the ecological collapse early warning sensitivity, introduces a dynamic checking mechanism to realize analysis of chemical stress and structure degradation composite action, breaks through the limitation of traditional method parameter isolation analysis, adopts progressive toughness diagnosis architecture to fuse real-time monitoring data, establishes a space-time continuous evaluation system, remarkably enhances diagnosis universality under different environmental conditions, and provides accurate decision support for ecological restoration.

Inventors

ZHANG TING
LAN XIAODAN
SONG XIANCHONG
TANG JIAN
LIANG XINRONG
ZHANG BING
QIN ZUOYU
YANG AI

Assignees

广西壮族自治区国有七坡林场
广西壮族自治区林业科学研究院

Dates

Publication Date: 20260512
Application Date: 20250711

Claims (6)

1. An intelligent evaluation system for soil ecological functions, comprising: constructing a trans-scale soil ecological data acquisition system, integrating an optical-biochemical-thermodynamic multi-mode sensing technology, acquiring basic data of soil structure-biological cooperation, biological-chemical dynamic balance and environmental response toughness, and transmitting the basic data to a multi-dimensional index resolving engine; Constructing triple heterogeneous computing channels, wherein each channel is provided with a special pipeline architecture to realize parallel computing of an index matrix, and the triple heterogeneous computing channels comprise a structure-biological channel, a biochemical dynamic channel and an environmental response channel, and transmit the computed indexes to a multi-cascade vertical analysis controller; the structure-biological channel obtains pore structure images through CT scanning of soil slices, and fractal dimension is calculated by adopting a box counting method, and the method is specifically expressed as follows: , Representing the fractal dimension of the pore, epsilon representing the sequence of the mesh sizes, N p (epsilon) representing the number of epsilon meshes required to cover the pore structure, and after measuring the activities of 6 key enzymes, calculating the shannon entropy change rate, which is specifically expressed as: wherein , Represents the entropy change index of the enzyme activity, Representing the i-th enzyme activity ratio, A i represents 6 enzyme specific activity values, t 1 and t 2 represent continuously monitored start and stop time nodes, A j represents the j-th soil enzyme specific activity value, and the Simpson diversity index is calculated after detecting root secretions and is specifically expressed as follows: , Represents the diversity factor of root exudates, c k represents the concentration of the kth metabolite, Representing total secretion concentration, m1 representing the number of metabolite species detected, and constructing an interplanar network by metagenomic sequencing, calculating modularity, specifically expressed as: , represents the microorganism co-operation coefficient, e i (m） represents the proportion of the connecting edges inside the species i, Representing the degree duty cycle of species i, E representing the total number of edges of the network, n representing the total number of species in the microbial interaction network; the biochemical dynamic channel collects the concentration of nitrogen, phosphorus and potassium for 7 continuous days, and calculates the product of variation coefficients, which is specifically expressed as: , Representing the nutrient fluctuation index, sigma N 、σ P 、σ K representing the 7 day concentration standard deviation of element N, P, K, mu N 、μ P 、μ K representing the average concentration of the corresponding element of element N, P, K, and calculating the diurnal amplitude ratio by detecting the functional gene expression amount, specifically expressed as: , representing the circadian index of the biological metabolism, g τ representing the expression level of the metabolic gene per hour, τ representing the time variable, n representing the night, d representing the day: , represents the degradation resonance coefficient of pollutants, t DDT represents the half-life of the organic chlorine pesticide DDT, t PAHs represents the half-life of polycyclic aromatic hydrocarbon, t phthalate represents the half-life of phthalate plasticizers, and the logarithmic ratio of ARGs/MGEs gene copy number is calculated and is specifically expressed as follows: , the abundance ratio of the resistance genes is shown, Represents the copy number of the j-th class resistance gene, Representing the k-th class of mobile element copy number, q representing the total number of detected ARGs classes, r representing the total number of detected MGEs classes; the environment response channel calculates the product of skewness and kurtosis through multi-point penetration experimental data, and is specifically expressed as follows: , Represents the permeability heterogeneity coefficient, S k (h） represents the 15-point permeability skewness, K u (h） represents the corresponding kurtosis, and the product of the phase difference and the amplitude attenuation in the 24-hour temperature change experiment is calculated, specifically expressed as: , Indicating the temperature buffering hysteresis coefficient of the temperature, Indicating the environmental-soil temperature phase difference, Indicating the amplitude of the ambient temperature, The method comprises the steps of representing soil temperature amplitude, calculating aggregate particle size distribution entropy after a rainfall simulation experiment, and specifically representing: , Represents the erosion resistance entropy of the steel sheet, Representing the mass ratio of the s-th-stage aggregate, m is the mass, s epsilon {2mm, 1-2 mm, 0.5-1 mm, 0.25-0.5 mm, <0.25mm }, and calculating the integral of the inert component in thermogravimetric analysis, wherein the integral is specifically represented as follows: , The organic matter stability index is represented by the formula, Representing the thermogravimetric analysis weight loss rate, wherein the integral interval corresponds to the pyrolysis temperature of the inert component; The multi-cascade analysis controller is used for receiving the [4 multiplied by 3] index tensor output by the multi-dimensional index calculation engine, dividing the tensor into three data streams of a structure group, a biochemical group and an environment group through the format converter, adopting a cascade analysis architecture, calculating a structure-biological synergy index at a first stage, calculating a metabolism-resistance balance index at a second stage, calculating an environment toughness index at a third stage, and transmitting a calculation result to the intelligent evaluation module; the calculation method of the structure-biological synergy index specifically comprises the following steps: , Representing a structure-biological synergy index, alpha p representing a terrain regulation coefficient, beta e representing an enzyme system sensitivity coefficient, gamma d representing a root system compensation coefficient; The calculation method of the metabolism-resistance balance index is specifically expressed as follows: , Represents a metabolism-resistance balance index, lambda f is a nutrient weight coefficient, and mu r is a resistance inhibition coefficient; the calculation method of the environment toughness index specifically comprises the following steps: , Representing the environmental toughness index, v h being the hydraulic form factor, ζ t being the thermodynamic damping factor, ψ e being the mechanical dissipation factor; And the intelligent evaluation module is used for carrying out instruction evaluation by adopting a nonlinear threshold nested structure according to a soil ecological state progressive judgment system of the structure-biological coordination index, the metabolism-resistance balance index and the environment toughness index, wherein the instruction evaluation comprises basic toughness evaluation, dynamic balance diagnosis, a system optimization stage and special regulation and control situations.
2. The intelligent evaluation system for soil ecological functions according to claim 1, wherein the multi-source heterogeneous data acquisition layer is used for sampling three depths of 0-10 cm, 20-30 cm and 50-60 cm by using a stainless steel cylindrical soil sampler with a diameter of 5cm, 5 repeated samples are taken at each depth, a CT (computed tomography) combined box counting method is adopted for pore structure analysis, five gradients of 0.1mm, 0.5mm, 1mm, 5mm and 10mm are adopted for grid size, a fluorescent substrate method is adopted for enzyme activity measurement, six enzyme activities of cellulase, urease, acid phosphatase, peroxidase, dehydrogenase and protease are detected, a SpectraMax microplate reader is used for measuring the fluorescence intensity of reaction products, a rhizosphere box method is adopted for root secretion acquisition, an Agilent 7890B gas chromatography-mass spectrometer is adopted for metabolite detection, and five organic acids of targeted quantification of citric acid, malic acid, oxalic acid, succinic acid and acetic acid are adopted for metabolite detection.
3. The intelligent evaluation system for soil ecological functions according to claim 1, wherein the multi-source heterogeneous data acquisition layer is used for measuring the content of available phosphorus by a Kjeldahl nitrogen determination method and an anti-colorimetry method for measuring ammonium nitrogen, molybdenum and antimony by a flame photometry method through continuous 7 days for 09:00 days, taking a soil sample 15cm away from the ground surface, continuously acquiring total RNA of soil microorganisms 24 times every 2 hours by a Oxford Nanopore MinION sequencer for day and night metabolic data acquisition, and carrying out targeted detection on the expression level of three metabolic genes of a nitrogen fixation gene nifH, an ammoxidation gene amoA and a denitrification gene nirS, wherein the measurement of the half-life of pollutants is carried out through an indoor culture experiment, and the detection of DDT residual quantity, the detection of PAHs concentration by using Agilent 1260 HPLC, and the detection of phthalate degradation quantity by Waters ACQUITY UPLC are carried out.
4. The intelligent evaluation system for soil ecological functions according to claim 1, wherein the multisource heterogeneous data acquisition layer is carried out at a depth of 0-15 cm by using a double-loop infiltration meter, infiltration rates are recorded for 0, 5, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100 and 110 minutes, temperature monitoring is carried out by using a HOBO MX2301 embedded temperature sensor, temperature fluctuation is recorded every 2 hours at a depth of three soil layers of 5 cm, 15 cm and 25 cm for 30 diurnal cycles, erosion test is carried out by using an artificial rainfall simulation device, the rainfall intensity is set to 80mm/h for 60 minutes, five-level agglomerates of >2mm, 1-2 mm, 0.5-1 mm, 0.25-0.5 mm and <0.25mm in runoff are collected and weighed by a wet sieving method, and organic matter thermal stability analysis is carried out by using a NETZSCH 449F3 synchronous thermal analyzer at a rate of from 25 STA to 800 ℃ under nitrogen atmosphere.
5. The intelligent evaluation system for soil ecological functions according to claim 1, wherein: The basic toughness assessment triggers a primary judgment when Q 3 is lower than 1.7, when Q 3 is less than or equal to 1.2, soil is in an ecological collapse critical state and shows that the anti-jamming capability is lower than a phase change threshold value, at the moment, a permeability heterogeneity coefficient Hi is less than 1.8X10-3 mm/s and an organic matter pyrolysis inert component is less than 45%, when Q 3 is in a (1.2,1.7) interval, the system is in a fragile state, a temperature hysteresis coefficient T l is more than 0.33 radian and erosion entropy E r is more than 2.4 bit; The dynamic balance diagnosis starts a secondary evaluation when Q 3 is more than or equal to 1.7, if Q 2 < -0.8 is judged to be in a chemical stress state, the dynamic balance diagnosis is characterized in that the abundance ratio A r of a resistance gene is more than 3.2, the metabolic rhythm index B c is less than 0.15, when Q 2 is E < -0.8,0.5 > and Q 1 is less than 0.9, the dynamic balance diagnosis belongs to a structural degradation state, and the micro-organism cooperation coefficient C m is less than 0.65 and is accompanied with the fractal dimension D p of pores; In the system optimization stage, when Q 3 is more than or equal to 2.1 and Q 2 is more than or equal to 0.5, Q 1 is more than or equal to 1.8, which represents the top-level community state, and when v h ·S 0 ＞3ξ t ·T l is met and the enzyme activity entropy change delta E e ∈[-0.05,0.03]/h,Q 1 E [1.2,1.8 ], the system optimization stage is in a sub-health state, and repair is realized by lifting C m to be more than 0.75 and R d to be more than 0.6; When Q 2 is more than 1.2 and Q 1 is more than 2.0, the target soil ecology enters a biological supersaturation state, and the condition is that the microorganism network degree is more than 8.2 and the diurnal metabolism amplitude ratio is more than 4.7, and pore dredging and biomass regulation are required to be implemented.
6. An intelligent evaluation method for soil ecological functions, which is used for the intelligent evaluation system for soil ecological functions according to any one of the claims 1-5, and is characterized by comprising the following steps: S1, multisource heterogeneous data acquisition, namely constructing a trans-scale soil ecological data acquisition system, integrating an optical-biochemical-thermodynamic multi-mode sensing technology, and acquiring basic data of soil structure-biological cooperation, biological-chemical dynamic balance and environmental response toughness; S2, multidimensional index calculation, namely constructing triple heterogeneous calculation channels, wherein each channel is provided with a special pipeline architecture to realize parallel calculation of an index matrix, and the parallel calculation comprises a structure-biological channel, a biochemical dynamic channel and an environmental response channel; S3, multi-cascade analysis, namely splitting the multi-cascade analysis into three data streams of a structure group, a biochemical group and an environment group through a format converter according to the [4 multiplied by 3] index tensor output by the S2, and calculating a structure-biological synergy index at a first stage, a metabolism-resistance balance index at a second stage and an environment toughness index at a third stage by adopting a cascade analysis architecture; And S4, intelligent evaluation, namely performing instruction evaluation by adopting a nonlinear threshold nested structure according to a soil ecological state progressive judging system of the structure-biological coordination degree index, the metabolism-resistance balance index and the environment toughness index, wherein the instruction evaluation comprises basic toughness evaluation, dynamic balance diagnosis, a system optimization stage and special regulation and control situations.

Description

Intelligent evaluation system and method for soil ecological function Technical Field The invention relates to the technical field of environmental science, in particular to an intelligent evaluation system and method for soil ecological functions. Background The current technology for evaluating the ecological function of soil mainly relies on discrete data acquisition of physical and chemical detection and biological index monitoring, and combines laboratory analysis and field test to evaluate the health degree of an ecological system, the existing evaluation system generally adopts a layered sampling and spectrum analysis technology, a linear regression model is established by measuring independent parameters such as porosity, enzyme activity and the like, and a principal component analysis method is used for generating a comprehensive evaluation index. The traditional method follows a linear flow of 'sampling-laboratory detection-index weighting' in the implementation process, namely firstly, a layered sample is obtained by using a standard earth auger, structural parameters are measured by using an X-ray diffraction and chromatography combined technology, then, a microbial culture test is carried out under an in-vitro condition to obtain biological activity data, and finally, each index is weighted and summed by adopting a fixed weight model to generate a static soil quality index. The method has the obvious defects of firstly, the linear weighting model cannot represent nonlinear coupling effect of pore network and microbial activity, so that early warning and hysteresis of mutability ecological decay are caused, secondly, independent index analysis ignores dynamic antagonism relation between nutrient fluctuation and resistance gene expression, and is difficult to identify a chemical stress critical state, thirdly, a static evaluation system of traditional temperature and erosion parameters cannot reflect time-varying synergistic effect of environmental factors, so that toughness evaluation distortion is caused. Disclosure of Invention In order to overcome the defects of the prior art, the invention provides an intelligent evaluation system and an intelligent evaluation method for soil ecological functions, which solve the problems that the prior art provided in the background art cannot capture ecological mutation by relying on a linear model, the index isolation analysis ignores dynamic association, and a static evaluation system is difficult to reflect environmental time-varying effect, so that early warning lag and diagnosis distortion are caused. In order to achieve the purpose, the invention provides the following technical scheme that the intelligent evaluation system for the ecological function of the soil comprises the following components: constructing a trans-scale soil ecological data acquisition system, integrating an optical-biochemical-thermodynamic multi-mode sensing technology, acquiring basic data of soil structure-biological cooperation, biological-chemical dynamic balance and environmental response toughness, and transmitting the basic data to a multi-dimensional index resolving engine; Constructing triple heterogeneous computing channels, wherein each channel is provided with a special pipeline architecture to realize parallel computing of an index matrix, and the triple heterogeneous computing channels comprise a structure-biological channel, a biochemical dynamic channel and an environmental response channel, and transmit the computed indexes to a multi-cascade vertical analysis controller; The multi-cascade analysis controller is used for receiving the [4 multiplied by 3] index tensor output by the multi-dimensional index calculation engine, dividing the tensor into three data streams of a structure group, a biochemical group and an environment group through the format converter, adopting a cascade analysis architecture, calculating a structure-biological synergy index at a first stage, calculating a metabolism-resistance balance index at a second stage, calculating an environment toughness index at a third stage, and transmitting a calculation result to the intelligent evaluation module; And the intelligent evaluation module is used for carrying out instruction evaluation by adopting a nonlinear threshold nested structure according to a soil ecological state progressive judgment system of the structure-biological coordination index, the metabolism-resistance balance index and the environment toughness index, wherein the instruction evaluation comprises basic toughness evaluation, dynamic balance diagnosis, a system optimization stage and special regulation and control situations. The invention has the technical effects and advantages that: according to the scheme, a multi-dimension index resolving engine is constructed, the limitation of a traditional linear model is broken through, nonlinear coupling analysis of pore structure, biological metabolism and environmental response