A method for integrated management of watershed water ecology based on big data

Abstract

The present invention discloses a method for integrated management of watershed water ecology based on big data, comprising the steps of: determining the governance area of water ecology on a map, setting up water quality monitoring stations in surface water and groundwater within the area to establish a water quality monitoring station network, collecting water quality data, calculating the water quality correlation coefficient between any two adjacent surface waters or groundwater, and evaluating the sources of water quality pollution sources between surface water or groundwater; after screening out water quality monitoring stations with similar sources of all water quality pollution sources, delineating pollution control units on the map, and screening the surface water or groundwater monitoring areas polluted by the wastewater discharged from the wastewater discharge points according to the water quality data at the wastewater discharge points, and conducting pollution control. The present invention is suitable for tracing and controlling water ecological pollution in large areas with rich water systems, reasonably promoting the comprehensive water pollution control of surface water systems and groundwater systems within the watershed, and reducing the impact of water pollution on other ecosystems.

Description

Technical Field

[0001] The present invention relates to the field of water ecological governance, and particularly to an integrated governance method for basin water ecology based on big data. Background Art

[0002] With the development of society and the improvement of living standards, people pay more and more attention to the construction, restoration and governance of the ecological environment. The good development of the ecological environment is the foundation for people's survival. Basin water ecological governance is a very important part of ecological environment construction. For areas with dense river networks and rich groundwater, the quality of basin water ecology will seriously affect the entire ecological environment of animals and plants. However, in the prior art, the governance of basin water ecology is not comprehensive, often point-to-point governance, and the governance of surface water and groundwater is separated, resulting in poor governance effect of the entire basin water ecology. However, the pollution control of surface water and groundwater often complements each other. Surface water will seep into groundwater, and the lowering of the surface water level can be replenished by groundwater. Therefore, there is an urgent need to propose an integrated governance method for basin water ecology based on big data. Summary of the Invention

[0003] In view of the above deficiencies of the prior art, the present invention provides an integrated governance method for basin water ecology based on big data, realizing the comprehensive governance of groundwater and surface water in the basin.

[0004] To achieve the above invention purpose, the technical solution adopted by the present invention is as follows:

[0005] Provide an integrated governance method for basin water ecology based on big data, which includes the following steps:

[0006] S1: Determine the governance area of water ecology on the map, and mark all surface water and groundwater on the governance area;

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

[0008] S3: After screening out water quality monitoring stations with similar sources of all water quality pollution sources, frame out pollution control units on the map, and screen out surface water or groundwater polluted by the wastewater discharged from the wastewater discharge points according to the water quality data at the wastewater discharge points, and conduct pollution control.

[0009] Further, step S2 includes:

[0010] S21: Set water quality monitoring stations along the flow directions of surface water and groundwater respectively. The water quality monitoring stations collect the 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 sets A and B collected from water quality monitoring stations on any two adjacent surface waters or groundwater A and B; n is the type of water quality data, N is the number of the water quality monitoring station on one of the surface waters or groundwater, M is the number of the water quality monitoring station on the other surface water or groundwater, t1 is the time tag for the water quality data collected by the water quality monitoring station N, and t2 is the time tag for the water quality data collected by the water quality monitoring station M;

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

[0013]

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

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

[0016] S25: Use the correlation coefficient X N～M and the time correlation coefficient S N～M to calculate the water quality correlation coefficient U of the surface water or groundwater where the two water quality monitoring stations N and M are located N～M ;

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

[0018] where γ1 and γ2 are the influence weights of the correlation of water quality data and the correlation of collection time on the water quality correlation of the basin, respectively, 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, the water quality correlation between two adjacent surface waters or groundwater where water quality monitoring stations N and M are located is high, indicating that the sources of water quality pollution sources at the locations of water quality monitoring stations N and M are similar, and step S3 is executed;

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

[0022] Furthermore, step S3 includes:

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

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

[0025] S33: According to the coordinates (x1, y1) of each water quality monitoring station within the pollution control unit, calculate the distance between the water quality sensor and each water quality monitoring station to obtain a distance data set (l1, l2,..., l u ), where l u is the distance between the water quality sensor and the u-th water quality monitoring station within the pollution control unit, and u is the number of the water quality monitoring station within the pollution control unit;

[0026] S34: Screen out the minimum value l u in the distance data set (l1, l2,..., l min ), and extract the water quality data set {c1, c2,..., c min} collected by the water quality monitoring station C corresponding to the minimum value l n}, where c n is the n-th water quality data collected by the 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 the water quality monitoring station C, and 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: Set 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 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. Obtain the location information corresponding to the wastewater discharge point on the map and mark the pollution signal to remind the staff to carry out pollution control on the wastewater discharge point;

[0032] If D C～0 < D 阈值 , it is determined that the surface water or groundwater where 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, sort the distance values in the distance data group (l1, l2,..., l u ) from small to large, starting from the water quality monitoring station corresponding to the second distance value, traverse the water quality data collected by the water quality monitoring stations in the pollution control unit, determine the surface water or groundwater polluted by the wastewater discharge point, and carry out pollution control.

[0034] Furthermore, the calculation method of the time correlation coefficient S N～M is as follows;

[0035]

[0036] where s is the average permeability coefficient of water in the formation in the treatment area, h B is the collection depth of the water quality data of the water quality monitoring station on the groundwater, and h A is the collection depth of the water quality data of the water quality monitoring station on the surface water.

[0037] The beneficial effects of the present invention are as follows: The present invention evaluates the pollution situation of the water ecosystem in the basin, combines the pollution sources of surface water and groundwater for comprehensive analysis, collects water quality data, calculates the similarity of water quality data to evaluate whether the pollution sources in different basins are similar, tracks the similar pollution sources, determines the pollution control unit, and at the same time combines map data to locate the wastewater discharge point conveniently, which is convenient for targeted treatment and processing. The present invention is suitable for tracing and treating 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. Description of the Drawings

[0038] Figure 1 It is a flowchart of an integrated watershed water ecological governance method based on big data. Specific implementation manners

[0039] The specific implementation manners of the present invention will be described below to facilitate those skilled in the art of this technology to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation manners. For those of ordinary skill in the art of this technology, as long as various changes are within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are within the scope of protection.

[0040] As Figure 1 shown, an integrated watershed water ecological governance method based on big data includes the following steps:

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

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

[0043] Step S2 specifically includes:

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

[0045] S22: Obtain the water quality data groups A and B collected by the water quality monitoring stations on any two adjacent surface waters or groundwater A and B; n is the type of water quality data, N is the number of the water quality monitoring station on one surface water or groundwater, M is the number of the water quality monitoring station on another surface water or groundwater, t1 is the time tag for the water quality monitoring station N to collect water quality data, and t2 is the time tag for the water quality monitoring station M to collect water quality data;

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

[0047]

[0048] wherein, i is the number of the 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 represents the similarity degree between the water quality data collected by two water quality monitoring stations. The higher the similarity degree, the closer the surface water quality data are, and the closer the polluted degrees are. Thus, it can be used to evaluate 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, and calculate the time correlation coefficient S based on the time tags of the water quality data collected by water quality monitoring stations N and M and combined with the effect of water infiltration in the stratum. N～M ; The time correlation coefficient S N～M The calculation method is as follows;

[0050]

[0051] where s is the average infiltration coefficient of water in the stratum within the treatment area, h B is the collection depth of the water quality data of the water quality monitoring station above the groundwater, h A is the collection depth of the water quality data of the water quality monitoring station above the surface water.

[0052] The time correlation coefficient S N～M characterizes the time difference of the water quality data collected by two water quality monitoring stations N and M. Since the distances of two adjacent surface waters or groundwater from the pollution source are different, the time for the pollution source to penetrate to 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 infiltrate from the same pollution source, increasing the accuracy of water quality correlation evaluation.

[0053] S25: Use the correlation coefficient X N～M and the time correlation coefficient S N～M to calculate the water quality correlation coefficient U of the surface water or groundwater where two water quality monitoring stations N and M are located N～M ;

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

[0055] where γ1 and γ2 are the influence weights of the correlation of water quality data and the correlation of collection time on the water quality correlation of the basin, respectively, 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 between two adjacent surface waters or groundwater where water quality monitoring stations N and M are located is high, indicating that the sources of water quality pollution sources at the locations of water quality monitoring stations N and M are similar, and step S3 is executed;

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

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

[0060] Step S3 specifically includes:

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

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

[0063] S33: According to the coordinates (x1, y1) of each water quality monitoring station within the pollution control unit, calculate the distance between the water quality sensor and each water quality monitoring station to obtain a distance data set (l1, l2,..., l u ), where l u is the distance between the water quality sensor and the u-th water quality monitoring station within the pollution control unit, and u is the number of the water quality monitoring station within the pollution control unit;

[0064] S34: Screen out the minimum value l u in the distance data set (l1, l2,..., l min ), and extract the water quality data set {c1, c2,..., c min} collected by the water quality monitoring station C corresponding to the minimum value l n}, where cn 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 water quality monitoring station C and the water quality data collected by the water quality sensor;

[0066]

[0067] where, c i is the ith water quality data collected by water quality monitoring station C, and d i is the ith water quality data collected by the water quality sensor, is the standard value of the ith water quality data collected by water quality monitoring station C, is the standard value of the ith water quality data collected by the water quality sensor;

[0068] S36: Set 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 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. Obtain the location information corresponding to the wastewater discharge point on the map and mark the pollution signal to remind the staff to carry out pollution control on the wastewater discharge point;

[0070] If D C～0 < D 阈值 , it is determined that the surface water or groundwater where 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, sort the distance values in the distance data group (l1, l2,..., l u ) from small to large. Starting from the water quality monitoring station corresponding to the second distance value, traverse the water quality data collected by the water quality monitoring stations in the pollution control unit to determine the surface water or groundwater polluted by the wastewater discharge point and carry out pollution control.

[0072] The present invention evaluates the pollution situation of the water ecosystem in the basin, conducts comprehensive analysis by combining 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 the similar pollution sources, determines the pollution control unit, and at the same time combines map data to locate the wastewater discharge point conveniently, which is convenient for targeted treatment and processing. The present invention is suitable for tracing and treating 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 polluted by the wastewater discharged from the wastewater discharge point, and carry out pollution control; Step S3 includes: 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 location of the water quality sensors is marked on the map through the positioning of the GPS positioning module to obtain the coordinates of the water quality sensors on the map. ; S33: Based on the coordinates of each water quality monitoring station in the pollution control unit , calculate the distance between the water quality sensor and each water quality monitoring station , get the distance data set , For water quality sensors and pollution control units u The distance between water quality monitoring stations, u The number of the water quality monitoring station in the pollution control unit; S34: Filter out distance data groups The minimum value in , and extract the minimum value Corresponding water quality monitoring station C Water quality data set collected , For water quality monitoring stations C The collected n Water quality data; S35: Calculate water quality monitoring stations C The correlation coefficient between the collected water quality data and the water quality data collected by the water quality sensor; ； in, c i For water quality monitoring stations C The collected i Water quality data, d i The water quality sensor collects i Water quality data, For water quality monitoring stations C The collected i The standard value of water quality data, The water quality sensor collects i Standard value of water quality data; S36: Set the threshold of correlation coefficient ; like , then determine the water quality monitoring station C The surface water or groundwater is polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located. The location information of 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. like , then determine the water quality monitoring station C If the surface water or groundwater is not polluted by the wastewater discharged from the wastewater discharge point where the water quality sensor is located, execute step S37; S37: Return to step S34, and The distance values ​​in 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 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: Get any two adjacent surface water or groundwater A , B Water quality data sets collected by water quality monitoring stations on A and water quality data sets B ; , , n is the type of water quality data, N Number one of the water quality monitoring stations on the surface water or groundwater, M Identify another water quality monitoring station on surface water or groundwater, t 1 is a water quality monitoring station N Time stamp of collected water quality data, t 2 is a water quality monitoring station M Time stamp for collecting water quality data; S23: Calculate two water quality monitoring stations N , M Correlation coefficient of water quality data between ; ； in, i is the water quality data number, For water quality monitoring stations N The collected i Normal value of water quality data, For water quality monitoring stations N The collected i Water quality data, For water quality monitoring stations M The collected i Normal value of water quality data, For water quality monitoring stations M The collected i Class water quality data; S24: Establish a two-dimensional coordinate system on the map plane to obtain water quality monitoring stations N , M Coordinates in a two-dimensional coordinate system, based on water quality monitoring stations N , M Collect the time tags of water quality data and calculate the time correlation coefficient based on the effect of water penetration in the formation ; S25: Using the correlation coefficient and time correlation coefficient Calculate two water quality monitoring stations N , M Water quality correlation coefficient of the surface water or groundwater ; ； in, 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 ; S26: Set the standard value of water quality correlation coefficient ; like , then the water quality monitoring station N, M The water quality correlation between the two adjacent surface water or groundwater is high, indicating that the water quality monitoring station N, M The sources of water pollution at the locations are similar, and step S3 is executed; like , then the water quality monitoring station N, M The water quality correlation between the two adjacent surface water or groundwater is low, indicating that the water quality monitoring station N, M The sources of water pollution in different locations are not similar.

3. The method for integrated watershed water ecology management based on big data according to claim 2 is characterized in that: The time correlation coefficient The calculation method is: ； in, s is the average permeability coefficient of water in the stratum within the treatment area, The depth of water quality data collection of the water quality monitoring station above the groundwater. It is the collection depth of water quality data at the water quality monitoring station on surface water.

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