Analysis platform and processing method based on river ecological restoration

Abstract

The present invention discloses an analysis platform based on river ecological restoration and a processing method thereof, which relates to the field of river ecological restoration. The method obtains the sampling values ​​of evaluation indicators at sampling points at a fixed sampling frequency, sets the demarcation thresholds of various evaluation indicators at the sampling points, calculates the ecological restoration effect evaluation values ​​at the sampling points according to the obtained sampling values ​​of the evaluation indicators and the demarcation thresholds, and constructs an observation value sequence (x) with the ecological restoration effect evaluation values ​​of the sampling points within the sampling period as the dependent variable. n ,y n ), by analyzing the observation sequence (x n ,y n ) to perform JPR model analysis, obtain the JPR model expression of the sampling point within the sampling period, and judge the effectiveness of the river ecological restoration measures based on the obtained JPR model of the sampling point within the sampling period. This can reflect the changing trend of the river ecology during the entire management cycle, and is conducive to adaptively adjusting the management measures according to the management effect, and formulating a more complete river management strategy.

Description

Technical Field

[0001] The present invention relates to the field of river ecological restoration, and in particular to an analysis platform based on river ecological restoration and a processing method thereof. Background Art

[0002] With the intensification of urbanization, human activities such as water resource development and utilization and flood control have changed the original topography and hydrological characteristics of rivers, leading to the continuous degradation of river ecosystem functions. In recent years, in order to restore river ecosystems, river basin ecological restoration projects have been carried out and implemented. However, ecological restoration projects are long-term dynamic processes, so a scientific and accurate evaluation system is needed to evaluate the restoration effect and ensure the efficient implementation of river ecological restoration projects.

[0003] At present, sampling survey methods are often used to conduct random inspections of river ecological environment. The relevant evaluation index parameters are collected for analysis to obtain the evaluation results of river ecological restoration effects. Due to the long-term and time-delay nature of ecological restoration projects, after the implementation of relevant restoration measures, the expected effects are often not achieved in a short period of time. Therefore, traditional random sampling tests can only reflect the state of river ecology at the time of sampling, and cannot accurately reflect the changing trend of river ecology during the entire governance cycle, resulting in the inability to adaptively adjust governance measures according to governance effects. To this end, we propose an analysis platform based on river ecological restoration and its processing method. Summary of the invention

[0004] The main purpose of the present invention is to provide an analysis platform based on river ecological restoration and a processing method thereof, which can effectively solve the problems in the background technology.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] The analysis and processing methods based on river ecological restoration include:

[0007] S1: Get the sampling value p of the jth evaluation index of the i-th category at the sampling point with a fixed sampling frequency ij , wherein the evaluation indicators include hydrological characteristic indicators, water body physical and chemical characteristic indicators, and aquatic biological status indicators;

[0008] The hydrological characteristic index includes at least one of the cross-sectional area, water depth, flow rate, and vertical average flow velocity at the sampling point;

[0009] The water body physical and chemical characteristic indicators include at least one of the pH value, dissolved oxygen content, ammonia nitrogen content, total phosphorus content, permanganate index, lead content, and suspended matter content at the sampling point;

[0010] The aquatic biological status index is characterized by the biodiversity index, wherein the calculation formula of the biodiversity index is:

[0011] H=-∑h i lnh i

[0012] Where H represents the biodiversity index; h i It is expressed as the ratio of the number of individuals of the i-th species to the total number of individuals of all species;

[0013] S2: Set the threshold value P of each evaluation index at the sampling point ij ;

[0014] S3: Calculate the ecological restoration effect evaluation value at the sampling point according to the obtained sampling value of the evaluation index and the demarcation threshold, wherein the calculation formula of the ecological restoration effect evaluation value is:

[0015]

[0016] Where D is the ecological restoration effect evaluation value at the sampling point; p' ij It is expressed as the sampling normalized value of the jth evaluation index of the i-th category at the sampling point; is represented as the weight of the j-th evaluation index of the i-th category, and is represented as the weight of the i-th evaluation index, and And the evaluation indicators that are positively correlated with the ecological restoration effect are:

[0017] If p ij ≥P ij , then p' ij =P ij ;

[0018] If p ij <P ij , then p' ij =p ij ;

[0019] Evaluation indicators that are negatively correlated with ecological restoration effects:

[0020] If p ij ≥P ij , then p' ij =p ij ;

[0021] If p ij <P ij , then p' ij =P ij ;

[0022] S4: Construct an observation sequence (x n ,y n ), where x n It is represented as the nth sampling node of the sampling point in the sampling period; n It is represented as the ecological restoration effect evaluation value of the nth sampling node of the sampling point within the sampling period;

[0023] S5: For the observation sequence (x n ,y n ) performs JPR model analysis to obtain the JPR model expression of the sampling point within the sampling period, specifically:

[0024] E[y i |x i ]=β0+β1x i +δ1(x1-τ1) + +...+δ k (x k -τ k ) +

[0025] Where i = 1, 2, ..., n; β0 is the constant parameter; β1 is the slope parameter; δ k =β n+1,1 -β n,1 , expressed as the slope parameter of the piecewise function; τ k is represented as the kth turning point; and when (x i -τ k )>0, (x i -τ k ) + =(x i -τ k ), otherwise (x i -τ k ) + =0;

[0026] S6: Based on the JPR model of the sampling point obtained during the sampling period, the effectiveness of the river ecological restoration measures is determined. The determination principles include:

[0027] If for any When k>u, there is δ k >0, then the river ecological restoration measures are effective;

[0028] If for any When k>u, there is δ k ≤0, then the river ecological restoration measures are ineffective;

[0029] Where K is the total number of turning points; λ is the correction coefficient; It is expressed as rounding up the value of K / λ; u is a positive integer; the value of the correction coefficient λ is determined according to the total number of turning points K, specifically:

[0030] When K>20, λ≤5;

[0031] When K<20, 20≥λ≥4.

[0032] The analysis platform based on river ecological restoration includes data sampling module, demarcation threshold setting module, ecological restoration effect evaluation module, evaluation index sampling result processing module, data analysis model construction module, and ecological restoration means effectiveness judgment module;

[0033] The data sampling module obtains the sampling value p of the jth evaluation index of the i-th category at the sampling point at a fixed sampling frequency. ij ;

[0034] The demarcation threshold setting module is used to set the demarcation threshold P of each evaluation index at the sampling point. ij ;

[0035] The ecological restoration effect evaluation module is used to calculate the ecological restoration effect evaluation value at the sampling point according to the acquired sampling value of the evaluation index and the demarcation threshold;

[0036] The evaluation index sampling result processing module is used to construct an observation value sequence (x) with the ecological restoration effect evaluation value of the sampling point within the sampling period as the dependent variable and the nth sampling node of the sampling point within the sampling period as the independent variable. n ,y n );

[0037] The data analysis model building module is used to analyze the observation value sequence (x n ,y n ) performing JPR model analysis, constructing a JPR model of the observation value sequence, and obtaining a JPR model expression of the sampling point within a sampling period;

[0038] The ecological restoration means effectiveness determination module is used to determine the effectiveness of the river ecological restoration means according to the JPR model of the sampling point obtained within the sampling period;

[0039] The platform further includes a memory, a processor, and an electronic program stored in the memory and capable of running on the processor.

[0040] The present invention has the following beneficial effects:

[0041] Compared with the prior art, the technical solution of the present invention obtains the sampling values ​​of the evaluation indicators at the sampling points at a fixed sampling frequency, sets the demarcation thresholds of the evaluation indicators at the sampling points, calculates the ecological restoration effect evaluation values ​​at the sampling points according to the obtained sampling values ​​of the evaluation indicators and the demarcation thresholds, and constructs an observation value sequence (x) with the ecological restoration effect evaluation values ​​of the sampling points within the sampling period as the dependent variable. n ,y n ), by analyzing the observation sequence (x n ,y n ) to perform JPR model analysis, obtain the JPR model expression of the sampling point within the sampling period, and judge the effectiveness of the river ecological restoration measures based on the obtained JPR model of the sampling point within the sampling period. This can reflect the changing trend of the river ecology during the entire management cycle, and is conducive to adaptively adjusting the management measures according to the management effect, thereby formulating a more complete river management strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the flow of the analysis and processing method based on river ecological restoration of the present invention;

[0043] Figure 2 It is a structural block diagram of the analysis platform based on river ecological restoration of the present invention;

[0044] Figure 3 Schematic diagram of sampling point location distribution.

[0045] In the figure: L is the river channel; S is the implementation section of the river ecological restoration measures; a is the location of one of the sampling points; b is the location of another sampling point. DETAILED DESCRIPTION

[0046] The present invention will be further described below in conjunction with specific implementation methods, wherein the accompanying drawings are only used for exemplary descriptions and represent only schematic diagrams rather than actual drawings, and should not be understood as limiting the present invention. In order to better illustrate the specific implementation methods of the present invention, some parts of the accompanying drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product.

[0047] The specific implementation process of the technical solution of the present invention includes the following steps:

[0048] Step 1: Set up sampling points in the river within the ecological restoration cycle;

[0049] It should be noted that the sampling points should be located in the downstream section where the governance measures are implemented. The specific spatial distance should be comprehensively considered based on factors such as the flow velocity and flow rate of the governance section. The greater the flow velocity of the river section, the greater the spatial distance between the sampling point and the location where the governance measures are implemented. When there is more than one sampling point, a certain distance should be maintained between the sampling points. Figure 3 The schematic diagrams of the position distribution are given in Figure 1 when there are one and two sampling points respectively.

[0050] Step 2: Obtain the sampling value p of the jth evaluation index of the i-th category at the sampling point with a fixed sampling frequency ij ;

[0051] It should be noted that the evaluation indicators include hydrological characteristic indicators, water body physical and chemical characteristic indicators, and aquatic biological status indicators;

[0052] The hydrological characteristic index includes at least one of the cross-sectional area, water depth, flow rate, and vertical average velocity at the sampling point. The calculation method formula of some hydrological characteristic indexes is given below, specifically:

[0053] Q=∑Q d ;

[0054] Where A represents the cross-sectional area at the sampling point (m 2 ); b is the distance from the measuring point to the bottom of the river (m); h s 、h x They are respectively represented by the width of the river channel at the measuring point (m) and the width of the river channel bottom (m); Q d It is represented by the flow rate at sampling point d; Q is represented by the total flow rate of the section at sampling point d;

[0055] The physical and chemical characteristic indicators of water bodies include at least one of the pH value, dissolved oxygen content, ammonia nitrogen content, total phosphorus content, permanganate index, lead content, and suspended solids content at the sampling point; the aquatic biological status indicators are characterized by the biodiversity index, where the calculation formula of the biodiversity index is:

[0056] H=-∑h i lnh i

[0057] In the formula, H represents the biodiversity index; h i It is expressed as the ratio of the number of individuals of the i-th species to the total number of individuals of all species.

[0058] Step 3: Set the threshold value P of each evaluation index at the sampling point ij ;

[0059] It should be noted that the hydrological characteristic indicators can be set artificially based on the historical data of the river or the management objectives. For the physical and chemical characteristic indicators of water bodies, according to the requirements of Class IV water quality water bodies in GB 3838-2002 "Surface Water Environmental Quality Standards", the specific requirements are shown in the following table:

[0060] Table 1 Requirements for Class IV water quality indicators

[0061]

[0062]

[0063] In this embodiment, the specific parameters required for Class IV water quality water bodies in the above table can be set, or they can be set manually according to the treatment objectives.

[0064] Step 4: Calculate the ecological restoration effect evaluation value at the sampling point based on the obtained sampling value of the evaluation index and the demarcation threshold, where the calculation formula of the ecological restoration effect evaluation value is:

[0065]

[0066] Where D is the ecological restoration effect evaluation value at the sampling point; p' ij It is expressed as the sampling normalized value of the jth evaluation index of the i-th category at the sampling point; is represented as the weight of the j-th evaluation index of the i-th category, and ω i is represented as the weight of the i-th evaluation index, and

[0067] It should be noted that for evaluation indicators that are positively correlated with the effect of ecological restoration, such as dissolved oxygen content, the larger the value, the better the water treatment effect, then:

[0068] If p ij ≥P ij , then p' ij =P ij ;

[0069] If p ij <P ij , then p' ij =p ij ;

[0070] For the evaluation indicators that are negatively correlated with the ecological restoration effect, such as ammonia nitrogen content, total phosphorus content, permanganate index, lead content, and suspended solids content, the larger the value, the worse the water treatment effect, then:

[0071] If p ij ≥P ij , then p' ij =p ij ;

[0072] If p ij <P ij , then p' ij =P ij ;

[0073] In addition, for interval indicators, such as pH value, the treatment effect is optimal when the pH value is in the interval range of 6.5-8.5. Once it exceeds the interval range, it means that the water quality of the water body is worse. At this time, the sampling value of the water body pH value can be judged against the interval range. If the sampling value of the water body pH value is within the interval range of 6.5-8.5, the sampling normalized value of the water body pH value is equal to the set value. If the sampling value of the water body pH value is not within the interval range of 6.5-8.5, when it is greater than 8.5, it is processed according to the above-mentioned principle of selecting the evaluation index that is positively correlated with the ecological restoration effect. Similarly, when the sampling value of the water body pH value is less than 6.5, it is processed according to the above-mentioned principle of selecting the evaluation index that is negatively correlated with the ecological restoration effect.

[0074] Step 5: Construct an observation sequence (x n ,y n ), where x n Represents the nth sampling node of the sampling point within the sampling period; y n It is expressed as the ecological restoration effect evaluation value of the nth sampling node within the sampling period;

[0075] Step 6: For the observation sequence (x n ,y n ) to perform JPR model analysis and obtain the JPR model expression of the sampling point within the sampling period, specifically:

[0076] E[y i |x i ]=β0+β1x i +δ1(x1-τ1) + +...+δ k (x k -τ k ) +

[0077] Where i = 1, 2, ..., n; β0 is the constant parameter; β1 is the slope parameter; δ k =β n+1,1 -β n,1 , expressed as the slope parameter of the piecewise function; τ k is represented as the kth turning point; and when (x i -τ k )>0, (x i -τ k ) + =(x i -τ k ), otherwise (x i -τ k ) + =0;

[0078] Step 7: Based on the JPR model of the sampling points obtained during the sampling period, the effectiveness of the river ecological restoration measures is determined. The determination principles include:

[0079] Principle 1: If for any When k>u, there is δ k >0, then the river ecological restoration measures are effective;

[0080] Principle 2: If for any When k>u, there is δ k ≤0, then the river ecological restoration measures are ineffective;

[0081] Where K is the total number of turning points; λ is the correction coefficient; It is expressed as rounding up the value of K / λ; u is a positive integer; the value of the correction coefficient λ is determined according to the total number of turning points K, specifically: when K>20, λ≤5; when K<20, 20≥λ≥4;

[0082] It should be noted that for principle 1, it indicates that during the entire restoration period, the various evaluation indicators gradually approached the set threshold values, and the ecological restoration effect evaluation values ​​at the sampling points showed an upward trend. This indicates that the governance and restoration measures implemented for the river ecology during this stage were effective.

[0083] For principle two, it explains that during the entire restoration cycle, various evaluation indicators gradually deviate from the set demarcation thresholds, and the ecological restoration effect evaluation values ​​at the sampling points all show a downward or stable trend. This means that during this stage, the management and restoration measures implemented for the river ecology have no obvious effect. Therefore, it is determined that the management and restoration measures are invalid and need to be adjusted.

[0084] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The analysis and processing method based on river ecological restoration is characterized by: include: Get the sampling value p of the jth evaluation index of the i-th category at the sampling point with a fixed sampling frequency ij ; Set the threshold value P of each evaluation index at the sampling point ij ; Calculate the ecological restoration effect evaluation value at the sampling point according to the obtained sampling value and demarcation threshold of the evaluation index; Construct an observation sequence (x n ,y n ), where x n It is represented as the nth sampling node of the sampling point in the sampling period; n It is represented as the ecological restoration effect evaluation value of the nth sampling node of the sampling point within the sampling period; For the observation sequence (x n ,y n ) performs JPR model analysis to obtain the JPR model expression of the sampling point within the sampling period, specifically: E[y i |x i ]=β0+β1x i +δ1(x1-τ1) + +...+d k (x k -t k ) + Where i = 1, 2, ..., n; β0 is the constant parameter; β1 is the slope parameter; δ k =β n+1,1 -β n,1 , expressed as the slope parameter of the piecewise function; τ k is represented as the kth turning point; and when (x i -τ k )>0, (x i -τ k ) + =(x i -τ k ), otherwise (x i -τ k ) + =0; Determine the effectiveness of river ecological restoration measures based on the JPR model of the sampling point obtained within the sampling period; The calculation formula for the ecological restoration effect evaluation value at the sampling point is: Where D is the ecological restoration effect evaluation value at the sampling point; p' ij It is expressed as the sampling normalized value of the jth evaluation index of the i-th category at the sampling point; is represented as the weight of the j-th evaluation index of the i-th category, and is represented as the weight of the i-th evaluation index, and The evaluation indicators include hydrological characteristic indicators, water body physical and chemical characteristic indicators, and aquatic biological status indicators; The hydrological characteristic index includes at least one of the cross-sectional area, water depth, flow rate, and vertical average flow velocity at the sampling point; The water body physical and chemical characteristic indicators include at least one of the pH value, dissolved oxygen content, ammonia nitrogen content, total phosphorus content, permanganate index, lead content, and suspended matter content at the sampling point; The aquatic biological status index is characterized by the biodiversity index, wherein the calculation formula of the biodiversity index is: H=-∑h i in h i In the formula, H represents the biodiversity index; h i It is expressed as the ratio of the number of individuals of the i-th species to the total number of individuals of all species; In the calculation formula of the ecological restoration effect evaluation value: Evaluation indicators that are positively correlated with ecological restoration effects: If p ij ≥P ij , then p' ij =P ij ; If p ij <P ij , then p' ij =p ij ; Evaluation indicators that are negatively correlated with ecological restoration effects: If p ij ≥P ij , then p' ij =p ij ; If p ij <P ij , then p' ij =P ij ; The principles for determining the effectiveness of river ecological restoration measures include: If for any When k>u, there is δ k >0, then the river ecological restoration measures are effective; If for any When k>u, there is δ k ≤0, then the river ecological restoration measures are ineffective; Where K is the total number of turning points; λ is the correction coefficient; It is expressed as rounding up the value of K / λ; u is a positive integer; The value of the correction coefficient λ is determined according to the total number of turning points K, specifically: When K>20, λ≤5; When K<20, 20≥λ≥4.

2. The analysis platform based on river ecological restoration is characterized by: It includes data sampling module, demarcation threshold setting module, ecological restoration effect evaluation module, evaluation index sampling result processing module, data analysis model construction module, and ecological restoration means effectiveness determination module; The data sampling module obtains the sampling value p of the jth evaluation index of the i-th category at the sampling point at a fixed sampling frequency. ij , wherein the evaluation indicators include hydrological characteristic indicators, water body physical and chemical characteristic indicators, and aquatic biological status indicators; The hydrological characteristic index includes at least one of the cross-sectional area, water depth, flow rate, and vertical average flow velocity at the sampling point; The water body physical and chemical characteristic indicators include at least one of the pH value, dissolved oxygen content, ammonia nitrogen content, total phosphorus content, permanganate index, lead content, and suspended matter content at the sampling point; The aquatic biological status index is characterized by the biodiversity index, wherein the calculation formula of the biodiversity index is: H=-∑h i in h i Where H represents the biodiversity index; h i It is expressed as the ratio of the number of individuals of the i-th species to the total number of individuals of all species; The demarcation threshold setting module is used to set the demarcation threshold P of each evaluation index at the sampling point. ij ; The ecological restoration effect evaluation module is used to calculate the ecological restoration effect evaluation value D at the sampling point according to the acquired sampling value of the evaluation index and the demarcation threshold, wherein the calculation formula is: Where p' ij It is expressed as the sampling normalized value of the jth evaluation index of the i-th category at the sampling point; is represented as the weight of the j-th evaluation index of the i-th category, and is represented as the weight of the i-th evaluation index, and The evaluation index sampling result processing module is used to construct an observation value sequence (x) with the ecological restoration effect evaluation value of the sampling point within the sampling period as the dependent variable and the nth sampling node of the sampling point within the sampling period as the independent variable. n ,y n ), where x n It is represented as the nth sampling node of the sampling point in the sampling period; n It is represented as the ecological restoration effect evaluation value of the nth sampling node of the sampling point within the sampling period; The data analysis model building module is used to analyze the observation value sequence (x n ,y n ) performs JPR model analysis, constructs a JPR model of the observation value sequence, and obtains the JPR model expression of the sampling point within the sampling period, wherein the expression of the model is: E[y i |x i ]=β0+β1x i +δ1(x1-τ1) + +...+d k (x k -t k ) + Where i = 1, 2, ..., n; β0 is the constant parameter; β1 is the slope parameter; δ k =β n+1,1 -β n,1 , expressed as the slope parameter of the piecewise function; τ k is represented as the kth turning point; and when (x i -τ k )>0, (x i -τ k ) + =(x i -τ k ), otherwise (x i -τ k ) + =0; The ecological restoration means effectiveness determination module is used to determine the effectiveness of the river ecological restoration means according to the JPR model of the sampling point obtained within the sampling period, wherein the determination principles include: If for any When k>u, there is δ k >0, then the river ecological restoration measures are effective; If for any When k>u, there is δ k ≤0, then the river ecological restoration measures are ineffective; Where K is the total number of turning points; λ is the correction coefficient; It is expressed as rounding up the value of K / λ; u is a positive integer; the value of the correction coefficient λ is determined according to the total number of turning points K, specifically: when K>20, λ≤5; when K<20, 20≥λ≥4.

3. The analysis platform based on river ecological restoration according to claim 2 is characterized in that: The platform also includes a memory, a processor, and an electronic program stored in the memory and capable of running on the processor, wherein the processor can implement the steps of the method of claim 1 when running the electronic program.

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