Basin water ecology integrated treatment method based on big data

Abstract

The invention discloses a drainage basin water ecology integrated treatment method based on big data, and the method comprises the steps: determining a water ecology treatment region on a map, setting water quality monitoring stations for surface water and underground water in the region, building a water quality monitoring station point network, collecting water quality data, and carrying out the water ecology treatment. The water quality correlation coefficient between any two adjacent surface water or underground water is calculated, and the source of the water quality pollution source between the surface water or the underground water is evaluated; after water quality monitoring stations with similar sources of all water quality pollution sources are screened out, a pollution treatment unit is selected on a map, surface water or underground water monitoring areas polluted by the wastewater discharged by the wastewater discharge points are screened out according to water quality data on the wastewater discharge points, and pollution treatment is carried out. The method is suitable for carrying out water ecological pollution source tracing treatment on a large-area and water-system-rich area, comprehensive water pollution treatment of a surface water system and an underground water system in a drainage basin is reasonably promoted, and the influence of water pollution on other ecology is reduced.

Description

Technical Field

[0001] The present invention relates to the field of water ecological management, and in particular to a method for integrated watershed water ecological management based on big data. Background Art

[0002] With the development of society and the improvement of living standards, people are paying more and more attention to the construction, restoration and governance of the ecological environment. The good development of the ecological environment is the basis of people's survival. The governance of watershed water ecology is a very important part of ecological environment construction. For areas with dense river networks and abundant groundwater, the quality of watershed water ecology will seriously affect the ecological environment of the entire flora and fauna. However, in the existing technology, the governance of watershed water ecology is not comprehensive, often point-to-point governance, and surface water governance and groundwater governance are separate, resulting in poor governance of the entire watershed water ecology. However, the pollution control of surface water and groundwater is often complementary. Surface water will infiltrate into groundwater, and the lowering of the surface water level can be supplemented by groundwater. Therefore, it is urgent to propose a method for integrated governance of watershed water ecology based on big data. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method for integrated watershed water ecological management based on big data to achieve comprehensive management of groundwater and surface water in the basin.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] A method for integrated watershed water ecology management based on big data is provided, which includes the following steps:

[0006] S1: Determine the water ecological management area on the map and mark all surface water and groundwater in the management area;

[0007] S2: Set up water quality monitoring stations along the flow direction of surface water and groundwater, collect water quality data, and calculate the water quality correlation coefficient between any two adjacent surface water or groundwater to evaluate the source of water quality pollution between surface water or groundwater;

[0008] S3: After screening out all water quality monitoring stations with similar sources of water pollution, select the pollution control unit on the map, and based on the water quality data at the wastewater discharge point, screen the surface water or groundwater contaminated by the wastewater discharged from the wastewater discharge point, and carry out pollution control.

[0009] Further, step S2 includes:

[0010] S21: water quality monitoring stations are respectively set up along the flow direction of surface water and groundwater, and the water quality monitoring stations collect water quality data of surface water and groundwater at a set time period to form a water quality data group;

[0011] S22: Obtain water quality data set A and water quality data set B collected by water quality monitoring stations on any two adjacent surface water or groundwater A and B; n is the type of water quality data, N is the number of one of the water quality monitoring stations on the surface water or groundwater, M is the number of the other water quality monitoring station on the surface water or groundwater, t1 is the time tag when the water quality monitoring station N collects the water quality data, and t2 is the time tag when the water quality monitoring station M collects the water quality data;

[0012] S23: Calculate the correlation coefficient X between the water quality data of two water quality monitoring stations N and M N～M ;

[0013]

[0014] Among them, i is the number of water quality data, is the normal value of the i-th type of water quality data collected by water quality monitoring station N, is the i-th type of water quality data collected by water quality monitoring station N, is the normal value of the i-th type of water quality data collected by water quality monitoring station M, The i-th type of water quality data collected by water quality monitoring station M;

[0015] S24: Establish a two-dimensional coordinate system on the map plane, obtain the coordinates of water quality monitoring stations N and M in the two-dimensional coordinate system, calculate the time correlation coefficient S based on the time tags of water quality data collected by water quality monitoring stations N and M, and combine the effect of water penetration in the formation N～M ;

[0016] S25: Using the correlation coefficient X N～M and time correlation coefficient S N～M Calculate the water quality correlation coefficient U of the surface water or groundwater at two water quality monitoring stations N and M N～M ;

[0017] U N～M =γ1expX N～M +γ2exp(-S N～M );

[0018] Among them, γ1 and γ2 are the influence weights of the correlation of water quality data and the correlation of collection time on the correlation of water quality in the basin, and γ1+γ2=1;

[0019] S26: Set the standard value U of the water quality correlation coefficient 标准 ;

[0020] If U N～M ≥U 标准, then the water quality correlation of the two adjacent surface water or groundwater where the water quality monitoring stations N and M are located is high, indicating that the sources of water pollution at the locations of the water quality monitoring stations N and M are similar, and step S3 is executed;

[0021] If U N～M 标准 , then the water quality correlation between the two adjacent surface waters or groundwaters where the water quality monitoring stations N and M are located is low, indicating that the sources of water pollution at the locations of the water quality monitoring stations N and M are similar.

[0022] Further, step S3 includes:

[0023] S31: After screening out all water quality monitoring stations with similar sources of water pollution, a pollution control unit is framed on the map so that the pollution control unit contains all water quality monitoring stations with similar sources of water pollution;

[0024] S32: Mark all wastewater discharge points in the pollution control unit, and set water quality sensors at the wastewater discharge points. The water quality sensors carry a GPS positioning module. The positions of the water quality sensors are marked on the map through the positioning of the GPS positioning module to obtain the coordinates (x0, y0) of the water quality sensors on the map.

[0025] S33: Calculate the distance between the water quality sensor and each water quality monitoring station according to the coordinates (x1, y1) of each water quality monitoring station in the pollution control unit Get the distance data set (l1,l2,…,l u ), l u is the distance between the water quality sensor and the u-th water quality monitoring station in the pollution control unit, and u is the number of the water quality monitoring station in the pollution control unit;

[0026] S34: Filter out the distance data group (l1, l2, ..., l u ) in the minimum value l min , and extract the minimum value l min The corresponding water quality data set {c1,c2,…,c n},c n The nth water quality data collected by water quality monitoring station C;

[0027] S35: Calculate the correlation coefficient between the water quality data collected by the water quality monitoring station C and the water quality data collected by the water quality sensor;

[0028]

[0029] Among them, c i is the i-th water quality data collected by water quality monitoring station C, d i is the i-th water quality data collected by the water quality sensor,​ is the standard value of the i-th water quality data collected by water quality monitoring station C, is the standard value of the i-th water quality data collected by the water quality sensor;

[0030] S36: Setting the threshold D of the correlation coefficient 阈值 ;

[0031] If D C～0 ≥D 阈值 , it is determined that the surface water or groundwater where the water quality monitoring station C is located is polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, and the location information corresponding to the wastewater discharge point is obtained on the map, and the pollution signal is marked to remind the staff to carry out pollution control at the wastewater discharge point;

[0032] If D C～0 <D 阈值 , it is determined that the surface water or groundwater where the water quality monitoring station C is located is not polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, and step S37 is executed;

[0033] S37: Return to step S34, and perform the distance data set (l1, l2, ..., l u ) are sorted from small to large, starting from the water quality monitoring station corresponding to the second distance value, the water quality data collected by the water quality monitoring stations in the pollution control unit are traversed to determine the surface water or groundwater polluted by the wastewater discharge point and to carry out pollution control.

[0034] Furthermore, the time correlation coefficient S N～M The calculation method is:

[0035]

[0036] Among them, s is the average permeability coefficient of water in the stratum within the treatment area, h B is the collection depth of water quality data of the water quality monitoring station above the groundwater, h A It is the collection depth of water quality data at the water quality monitoring station on surface water.

[0037] The beneficial effects of the present invention are as follows: the present invention evaluates the pollution of water ecology in the basin, conducts a comprehensive analysis of the pollution sources of surface water and groundwater, collects water quality data, calculates the similarity of water quality data to evaluate whether the pollution sources in different basins are similar, tracks similar pollution sources, and determines the pollution control unit, while locating the wastewater discharge point in combination with map data, so as to facilitate targeted control and treatment. The present invention is suitable for tracing the source of water ecological pollution in large areas with rich water systems, reasonably promoting the comprehensive water pollution control of surface water systems and groundwater systems in the basin, and reducing the impact of water pollution on other ecosystems. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of the integrated watershed water ecological management method based on big data. DETAILED DESCRIPTION

[0039] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0040] like Figure 1 As shown, a method for integrated watershed water ecology management based on big data includes the following steps:

[0041] S1: Determine the water ecology governance area on the map and mark all surface water and groundwater in the governance area. In the process of large-scale watershed water ecology governance, big data technology can be used to analyze the water ecology pollution through the collected multi-point water quality data.

[0042] S2: Set up water quality monitoring stations along the flow direction of surface water and groundwater, collect water quality data, and calculate the water quality correlation coefficient between any two adjacent surface water or groundwater to evaluate the source of water quality pollution between surface water or groundwater.

[0043] Step S2 specifically includes:

[0044] S21: water quality monitoring stations are respectively set up along the flow direction of surface water and groundwater, and the water quality monitoring stations collect water quality data of surface water and groundwater at a set time period to form a water quality data group;

[0045] S22: Obtain water quality data set A and water quality data set B collected by water quality monitoring stations on any two adjacent surface water or groundwater A and B; n is the type of water quality data, N is the number of one of the water quality monitoring stations on the surface water or groundwater, M is the number of the other water quality monitoring station on the surface water or groundwater, t1 is the time tag when the water quality monitoring station N collects the water quality data, and t2 is the time tag when the water quality monitoring station M collects the water quality data;

[0046] S23: Calculate the correlation coefficient X between the water quality data of two water quality monitoring stations N and M N～M ;

[0047]

[0048] Among them, i is the number of water quality data, is the normal value of the i-th type of water quality data collected by water quality monitoring station N, is the i-th type of water quality data collected by water quality monitoring station N, is the normal value of the i-th type of water quality data collected by water quality monitoring station M, is the i-th type of water quality data collected by water quality monitoring station M; the correlation coefficient X N～M It represents the similarity between the water quality data collected by two water quality monitoring stations. The higher the similarity, the closer the surface water quality data are and the closer the degree of pollution is. This can be used to assess whether the areas where the two water quality monitoring stations are located are polluted by the same pollution source.

[0049] S24: Establish a two-dimensional coordinate system on the map plane, obtain the coordinates of water quality monitoring stations N and M in the two-dimensional coordinate system, calculate the time correlation coefficient S based on the time tags of water quality data collected by water quality monitoring stations N and M, and combine the effect of water penetration in the formation N～M ; Time correlation coefficient S N～M The calculation method is:

[0050]

[0051] Among them, s is the average permeability coefficient of water in the stratum within the treatment area, h B is the collection depth of water quality data of the water quality monitoring station above the groundwater, h A It is the collection depth of water quality data at the water quality monitoring station on surface water.

[0052] Time correlation coefficient S N～M Characterizes the time difference of water quality data collected by two water quality monitoring stations N and M. Since the distances between two adjacent surface water or groundwater and the pollution source are different, the time for the pollution source to penetrate and reach the surface water or groundwater is also different. The present invention introduces the time correlation coefficient S N～M To characterize whether the collected water quality data is infiltrated from the same pollution source, it increases the accuracy of water quality correlation assessment.

[0053] S25: Using the correlation coefficient X N～M and time correlation coefficient S N～M Calculate the water quality correlation coefficient U of the surface water or groundwater at two water quality monitoring stations N and M N～M ;

[0054] U N～M =γ1expX N～M +γ2exp(-S N～M );

[0055] Among them, γ1 and γ2 are the influence weights of the correlation of water quality data and the correlation of collection time on the correlation of water quality in the basin, and γ1+γ2=1;

[0056] S26: Set the standard value U of the water quality correlation coefficient 标准 ;

[0057] If U N～M ≥U 标准 , then the water quality correlation of the two adjacent surface water or groundwater where the water quality monitoring stations N and M are located is high, indicating that the sources of water pollution at the locations of the water quality monitoring stations N and M are similar, and step S3 is executed;

[0058] If U N～M 标准 , then the water quality correlation between the two adjacent surface waters or groundwaters where the water quality monitoring stations N and M are located is low, indicating that the sources of water pollution at the locations of the water quality monitoring stations N and M are similar.

[0059] S3: After screening out all water quality monitoring stations with similar sources of water pollution, select the pollution control unit on the map, and based on the water quality data at the wastewater discharge point, screen the surface water or groundwater contaminated by the wastewater discharged from the wastewater discharge point, and carry out pollution control.

[0060] Step S3 specifically includes:

[0061] S31: After screening out all water quality monitoring stations with similar sources of water pollution, a pollution control unit is framed on the map so that the pollution control unit contains all water quality monitoring stations with similar sources of water pollution;

[0062] S32: Mark all wastewater discharge points in the pollution control unit, and set water quality sensors at the wastewater discharge points. The water quality sensors carry a GPS positioning module. The positions of the water quality sensors are marked on the map through the positioning of the GPS positioning module to obtain the coordinates (x0, y0) of the water quality sensors on the map.

[0063] S33: Calculate the distance between the water quality sensor and each water quality monitoring station according to the coordinates (x1, y1) of each water quality monitoring station in the pollution control unit Get the distance data set (l1,l2,…,l u ), l u is the distance between the water quality sensor and the u-th water quality monitoring station in the pollution control unit, and u is the number of the water quality monitoring station in the pollution control unit;

[0064] S34: Filter out the distance data group (l1, l2, ..., l u ) in the minimum value l min , and extract the minimum value l min The corresponding water quality data set {c1,c2,…,c n},c​n The nth water quality data collected by water quality monitoring station C;

[0065] S35: Calculate the correlation coefficient between the water quality data collected by the water quality monitoring station C and the water quality data collected by the water quality sensor;

[0066]

[0067] Among them, c i is the i-th water quality data collected by water quality monitoring station C, d i is the i-th water quality data collected by the water quality sensor, is the standard value of the i-th water quality data collected by water quality monitoring station C, is the standard value of the i-th water quality data collected by the water quality sensor;

[0068] S36: Setting the threshold D of the correlation coefficient 阈值 ;

[0069] If D C～0 ≥D 阈值 , it is determined that the surface water or groundwater where the water quality monitoring station C is located is polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, and the location information corresponding to the wastewater discharge point is obtained on the map, and the pollution signal is marked to remind the staff to carry out pollution control at the wastewater discharge point;

[0070] If D C～0 <D 阈值 , it is determined that the surface water or groundwater where the water quality monitoring station C is located is not polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, and step S37 is executed;

[0071] S37: Return to step S34, and perform the distance data set (l1, l2, ..., l u ) are sorted from small to large, starting from the water quality monitoring station corresponding to the second distance value, the water quality data collected by the water quality monitoring stations in the pollution control unit are traversed to determine the surface water or groundwater polluted by the wastewater discharge point and to carry out pollution control.

[0072] The present invention evaluates the pollution of water ecology in the basin, conducts a comprehensive analysis of the pollution sources of surface water and groundwater, collects water quality data, calculates the similarity of water quality data to evaluate whether the pollution sources in different basins are similar, tracks similar pollution sources, and determines the pollution control unit. At the same time, it is convenient to locate the wastewater discharge point in combination with map data, so as to facilitate targeted control and treatment. The present invention is suitable for tracing the source of water ecological pollution in large areas with rich water systems, reasonably promoting the comprehensive water pollution control of surface water systems and groundwater systems in the basin, and reducing the impact of water pollution on other ecosystems.

Claims

1. A method for integrated watershed water ecology management based on big data, characterized in that: The following steps are involved: S1: Determine the water ecological management area on the map and mark all surface water and groundwater in the management area; S2: Set up water quality monitoring stations along the flow direction of surface water and groundwater, collect water quality data, and calculate the water quality correlation coefficient between any two adjacent surface water or groundwater to evaluate the source of water quality pollution between surface water or groundwater; S3: After screening out all water quality monitoring stations with similar sources of water pollution, select the pollution control unit on the map, and based on the water quality data at the wastewater discharge point, screen the surface water or groundwater contaminated by the wastewater discharged from the wastewater discharge point, and carry out pollution control.

2. The method for integrated watershed water ecology management based on big data according to claim 1 is characterized in that: The step S2 comprises: S21: water quality monitoring stations are respectively set up along the flow direction of surface water and groundwater, and the water quality monitoring stations collect water quality data of surface water and groundwater at a set time period to form a water quality data group; S22: Obtain water quality data set A and water quality data set B collected by water quality monitoring stations on any two adjacent surface water or groundwater A and B; n is the type of water quality data, N is the number of one of the water quality monitoring stations on the surface water or groundwater, M is the number of the other water quality monitoring station on the surface water or groundwater, t1 is the time tag when the water quality monitoring station N collects the water quality data, and t2 is the time tag when the water quality monitoring station M collects the water quality data; S23: Calculate the correlation coefficient X between the water quality data of two water quality monitoring stations N and M N～M ; Among them, i is the number of water quality data, is the normal value of the i-th type of water quality data collected by water quality monitoring station N, is the i-th type of water quality data collected by water quality monitoring station N, is the normal value of the i-th type of water quality data collected by water quality monitoring station M, The i-th type of water quality data collected by water quality monitoring station M; S24: Establish a two-dimensional coordinate system on the map plane, obtain the coordinates of water quality monitoring stations N and M in the two-dimensional coordinate system, calculate the time correlation coefficient S based on the time tags of water quality data collected by water quality monitoring stations N and M, and combine the effect of water penetration in the formation N～M ; S25: Using the correlation coefficient X N～M and time correlation coefficient S N～M Calculate the water quality correlation coefficient U of the surface water or groundwater at two water quality monitoring stations N and M N～M ; U N～M =γ1expX N～M +γ2exp(-S N～M ); Among them, γ1 and γ2 are the influence weights of the correlation of water quality data and the correlation of collection time on the correlation of water quality in the basin, and γ1+γ2=1; S26: Set the standard value U of the water quality correlation coefficient 标准 ; If U N～M ≥U 标准 , then the water quality correlation of the two adjacent surface water or groundwater where the water quality monitoring stations N and M are located is high, indicating that the sources of water pollution at the locations of the water quality monitoring stations N and M are similar, and step S3 is executed; If U N～M 标准 , then the water quality correlation between the two adjacent surface waters or groundwaters where the water quality monitoring stations N and M are located is low, indicating that the sources of water pollution at the locations of the water quality monitoring stations N and M are similar.​ 3. The method for integrated watershed water ecology management based on big data according to claim 2 is characterized in that: The step S3 comprises: S31: After screening out all water quality monitoring stations with similar sources of water pollution, a pollution control unit is framed on the map so that the pollution control unit contains all water quality monitoring stations with similar sources of water pollution; S32: Mark all wastewater discharge points in the pollution control unit, and set water quality sensors at the wastewater discharge points. The water quality sensors carry a GPS positioning module. The positions of the water quality sensors are marked on the map through the positioning of the GPS positioning module to obtain the coordinates (x0, y0) of the water quality sensors on the map. S33: Calculate the distance between the water quality sensor and each water quality monitoring station according to the coordinates (x1, y1) of each water quality monitoring station in the pollution control unit Get the distance data set (l1,l2,…,l u ), l u is the distance between the water quality sensor and the u-th water quality monitoring station in the pollution control unit, and u is the number of the water quality monitoring station in the pollution control unit; S34: Filter out the distance data group (l1, l2, ..., l u ) in the minimum value l min , and extract the minimum value l min The corresponding water quality data set {c1,c2,…,c n },c n The nth water quality data collected by water quality monitoring station C; S35: Calculate the correlation coefficient between the water quality data collected by the water quality monitoring station C and the water quality data collected by the water quality sensor; Among them, c i is the i-th water quality data collected by water quality monitoring station C, d i is the i-th water quality data collected by the water quality sensor, is the standard value of the i-th water quality data collected by water quality monitoring station C, is the standard value of the i-th water quality data collected by the water quality sensor; S36: Setting the threshold D of the correlation coefficient 阈值 ; If D C～0 ≥D 阈值 , it is determined that the surface water or groundwater where the water quality monitoring station C is located is polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, and the location information corresponding to the wastewater discharge point is obtained on the map, and the pollution signal is marked to remind the staff to carry out pollution control at the wastewater discharge point; If D C～0 <D 阈值 , it is determined that the surface water or groundwater where the water quality monitoring station C is located is not polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, and step S37 is executed; S37: Return to step S34, and perform the distance data set (l1, l2, ..., l u ) are sorted from small to large, starting from the water quality monitoring station corresponding to the second distance value, the water quality data collected by the water quality monitoring stations in the pollution control unit are traversed to determine the surface water or groundwater polluted by the wastewater discharge point and to carry out pollution control.

4. The method for integrated watershed water ecology management based on big data according to claim 2 is characterized in that: The time correlation coefficient S N～M The calculation method is: Among them, s is the average permeability coefficient of water in the stratum within the treatment area, h B is the collection depth of water quality data of the water quality monitoring station above the groundwater, h A It is the collection depth of water quality data at the water quality monitoring station on surface water.

Images