CN117361757A - Reservoir large water surface pollution treatment method and system - Google Patents
Reservoir large water surface pollution treatment method and system Download PDFInfo
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- 238000005202 decontamination Methods 0.000 description 2
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/32—Biological treatment of water, waste water, or sewage characterised by the animals or plants used, e.g. algae
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- C—CHEMISTRY; METALLURGY
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- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/06—Controlling or monitoring parameters in water treatment pH
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
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Abstract
The application discloses a reservoir large water surface pollution treatment method and system, relates to reservoir treatment technical field, includes: s011, acquiring water quality change information in the reservoir, and forming a first water quality information set according to the water quality change information; s012, acquiring aquatic animal and plant throwing conditions corresponding to the first water quality information set in the reservoir according to the first water quality information set, and acquiring a plurality of throwing sets; s013, constructing a water quality area distribution set according to the throwing set and the throwing position, and acquiring the position and the size of the water quality area distribution set; s014, acquiring sampling points during sampling of water quality change information according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points; the water quality sampling path comprises a transverse detection path and a vertical detection path; the efficiency of reservoir management can be improved, the manpower consumption when the surface of water is handled is reduced.
Description
Technical Field
The invention relates to the technical field of reservoir treatment, in particular to a method and a system for treating pollution of a large water surface of a reservoir.
Background
The pollution of reservoirs is more and more serious due to the influence of factors such as industrial pollution, agricultural pollution, domestic wastewater pollution and the like, and the pollution of reservoirs brings serious challenges to normal water supply of the reservoirs. Meanwhile, severe reservoir pollution hinders the development of social economy, and even threatens the social stability and the life safety of people to a certain extent.
The invention discloses a method and a system for treating pollution of a large water surface of a reservoir, as disclosed in China patent application No. 202210416434.4, and relates to the field of reservoir treatment, wherein the method comprises the following steps: acquiring water quality information of a first reservoir; obtaining first species information and second species information; obtaining first species number information and second species number information; carrying out water quality treatment on the first reservoir according to the first species information, the second species information, the first species number information and the second species number information; in water quality treatment, acquiring water quality change information of a first reservoir and material concentration information of a second species in real time; and according to the water quality change information and the material concentration information, the first species information, the second species information, the first species number information and the second species number information are adjusted in real time.
In the prior art, the reservoir is treated by plants and aquatic products; however, when the ecological environment is used for controlling the reservoir, the reservoir environment change condition cannot be optimized according to the reservoir control process when the change of the continuous time period is not solved, and the consumption of manpower and material resources is reduced.
Disclosure of Invention
According to the method and the system for treating the pollution of the large water surface of the reservoir, the problem that the water pollution can not be treated according to the reservoir environment in the prior art is solved, the efficiency of water pollution treatment is improved, and meanwhile, the consumption of manpower is reduced.
The embodiment of the application provides a reservoir large water surface pollution treatment method, which comprises the following steps:
s011, acquiring water quality change information in the reservoir, and forming a first water quality information set according to the water quality change information;
s012, acquiring aquatic animal and plant throwing conditions corresponding to the first water quality information set in the reservoir according to the first water quality information set, and acquiring a plurality of throwing sets;
s013, constructing a water quality area distribution set according to the throwing set and the throwing position, and acquiring the position and the size of the water quality area distribution set;
s014, acquiring sampling points during sampling of water quality change information according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points; the water quality sampling path comprises a transverse detection path and a vertical detection path;
s015, determining the pollution degree of each water quality area distribution set in the water quality sampling path according to the water quality sampling path, and outputting a water quality adjustment scheme according to the pollution degree of each water quality area distribution set.
A reservoir large water surface pollution abatement system, comprising: the system comprises a data acquisition unit, a throwing unit, a water quality area distribution unit, a path construction unit and a pollution evaluation unit;
the data acquisition unit is used for acquiring water quality change information in the reservoir;
the throwing unit is used for throwing aquatic animals and plants according to the water quality change information to obtain a plurality of throwing sets;
the water quality area distribution unit is used for constructing a water quality area distribution set according to the throwing set and the throwing position of aquatic animals and plants, and acquiring the position and size information of the sets;
the path construction unit is used for determining the distribution condition of different sampling points in water quality sampling according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points, wherein the water quality sampling path comprises a transverse detection path and a vertical detection path;
the pollution evaluation unit is used for determining the pollution degree of each water quality area distribution set, dividing the water quality area distribution set into a plurality of first pollution areas and second pollution areas and outputting a corresponding water quality adjustment scheme.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the reservoir treatment is divided into a plurality of target areas according to the water flow speed, the pollution degree and the water surface area, and grid units are arranged on the plurality of target areas, so that finer operation conditions during the pollution treatment are improved; when the moving path of the water flow is used as detection, the space-time characteristics of water surface pollution diffusion during water surface treatment can be accurately identified, and the accuracy of water surface treatment is further improved.
The water sample collection and analysis are carried out at sampling points with different depths, so that the vertical distribution condition of parameters such as dissolved oxygen, temperature, salinity, pH value and the like in the water body can be known. This helps to study stratification of the body of water, the structure of the vertical water column, and differences in the characteristics of bodies of water at different depths.
By acquiring the first pollution area and the second pollution area and continuously monitoring the water quality around the area with high pollution purification rate, the purification trend of the areas can be known, and the purification trend can be guided to the area with slow water pollution purification through the data, so that the guiding mode can promote the gradual purification of the whole pollution area.
By carrying out detailed analysis and adjustment on the water quality of the first pollution area and the second pollution area, a more refined water quality management mode is realized; according to the adjustment of the final sampling path and the sampling point, the final output water quality adjustment scheme is more reliable, and the decision risk is reduced.
Drawings
FIG. 1 is a schematic flow chart of a method for treating pollution on a large water surface of a reservoir;
FIG. 2 is a schematic flow chart of a water quality area distribution collection treatment of a reservoir large water surface pollution treatment method;
FIG. 3 is a schematic flow chart of a transverse detection path of a reservoir large water surface pollution control method;
FIG. 4 is a schematic flow chart of a method for treating large water surface pollution of a reservoir in a diffusion treatment mode;
FIG. 5 is a schematic flow chart of a fifth embodiment of a method for treating pollution on a large water surface of a reservoir;
FIG. 6 is a schematic flow chart of a treatment mode of a first pollution area and a second pollution area of a reservoir large water surface pollution treatment method;
FIG. 7 is a schematic system diagram of a reservoir large surface pollution abatement system.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings; the preferred embodiments of the present invention are illustrated in the drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein; rather, these embodiments are provided so that this disclosure will be thorough and complete.
It should be noted that the terms "vertical", "horizontal", "upper", "lower", "left", "right", and the like are used herein for illustrative purposes only and do not represent the only embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs; the terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention; the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Embodiment one: in order to solve the problem of treating the water body environment according to the water pollution treatment condition in the pollution treatment process, and adjust aquatic animals and plants put in each area, thereby achieving the treatment effect on the water body environment.
As shown in fig. 1, the method for treating the pollution of the large water surface of the reservoir comprises the following steps:
s011, acquiring water quality change information in the reservoir, and forming a first water quality information set according to the water quality change information;
s012, acquiring aquatic animal and plant throwing conditions corresponding to the first water quality information set in the reservoir according to the first water quality information set, and acquiring a plurality of throwing sets;
s013, constructing a water quality area distribution set according to the throwing set and the throwing position, and acquiring the position and the size of the water quality area distribution set;
s014, acquiring sampling points during sampling of water quality change information according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points; the water quality sampling path comprises a transverse detection path and a vertical detection path;
s015, determining the pollution degree of each water quality area distribution set in the water quality sampling path according to the water quality sampling path, and outputting a water quality adjustment scheme according to the pollution degree of each water quality area distribution set.
Specifically, when the water body is treated, the aquatic animals and plants are thrown into the water body according to the change condition of the water quality components of the water body, and sampling points are arranged on throwing places, so that the difference of throwing amounts of different areas and the change of the water quality components after throwing are detected to be regulated; and when the throwing place is sampled, the sampling position is adjusted according to the condition of water quality component change, so that the sampled data can show water quality gradient change among different positions, and the sampling path is adjusted according to the water quality gradient change, thereby reducing the manpower consumption in water pollution treatment.
Embodiment two: in order to enable the obtained areas to show different forms of treatment effects, the water body is divided into a plurality of areas, wherein each area is provided with a plurality of grids, the plurality of grids are evenly divided according to the surface area of the water body, for example, an area with the highest median value in the area is selected as a central area in each water body area, each area with one high or low index is set as a grid, each water body area is divided into a plurality of areas according to the index of the components, each water body is continuously monitored, corresponding aquatic animals and plants are continuously thrown in, and the water bodies are sequentially detected until all the areas are treated.
As shown in fig. 2, a specific implementation manner of the water quality area distribution set treatment is as follows:
s021, acquiring a water quality area distribution set, and acquiring a target area corresponding to each throwing set according to the water quality area distribution set.
When a target area is divided for the water quality area distribution set, dividing the water surface of the reservoir into a plurality of transverse target areas according to factors such as the shape, the water flow direction, the water quality pollution degree and the like of the reservoir; different biological species are selected for placement according to the water quality characteristics and pollution conditions of different target areas.
Each target area is divided into target areas according to three dimensions of pollution degree, water flow speed and water surface area, and the number, the size and the positions of the divided target areas are determined according to the specific gravity occupied by water quality change information in each dimension.
For example, the water surface may be divided into three types of areas of different sizes, such as a small area, a medium area, and a large area, according to the scale and actual conditions of the reservoir.
Small area: the area is below 1000 square meters;
medium area: the area is between 1000 and 5000 square meters;
large area: the area is more than 5000 square meters.
The pollution degree is divided into a light pollution area, a moderate pollution area and a heavy pollution area:
lightly contaminated area: COD (chemical oxygen demand) concentration is 10-50mg/L, and TP (total phosphorus) concentration is 0.1-0.3mg/L.
Moderate contamination zone: COD concentration is 50-100mg/L and TP concentration is 0.3-0.5mg/L.
Heavy contaminated areas: COD concentration exceeds 100mg/L and TP concentration exceeds 0.5mg/L.
The water flow speed divides into a slow flow area, a medium flow speed area and a fast flow speed area:
and a slow flow area: the water flow rate is less than 0.5 m/s.
Medium flow region: the water flow speed is between 0.5 and 1.0 m/s.
Rapid flow rate zone: the water flow rate exceeds 1.0 m/s.
Specifically, the number of the target areas is determined according to the water surface area, the proper number of the target areas is determined by determining the size of the reservoir, the position of each target area is determined according to the pollution degree in the reservoir, the pollution condition corresponding to each target area can be processed specifically, the size of the target area is determined according to the water flow speed, the area where water flow is likely to spread is predicted by calculating the water flow speed at the moment, and therefore the effect of fixed-point directional treatment of water quality pollution can be achieved.
Specifically, a first water surface threshold value A1, a second water surface threshold value A2, a first target area number B1, a second target area number B2 and a third target area number B3 corresponding to the water surface area are set for the number of the target areas; acquiring a reservoir area A0 and a target area quantity B0 corresponding to the current reservoir area; wherein A1 is less than A2, B1 is less than B2 and less than B3;
when A0 > A1, the target area is a small area, and the number of target areas b0=b1;
when A1 is less than or equal to A0 and less than A2, the target area is a medium area, and the number of the target areas is B0=B2;
when A0 is more than or equal to A2, the target area is a large area, and the number of the target areas is B0=B3;
after the size of the water reservoir area is determined, the number of target areas to be divided is set according to the size of the water reservoir area, and the number of the target areas is determined by the set water surface area threshold value.
Preferably, a first pollution level threshold C1, a second pollution level threshold C2 and a third pollution level threshold C3 corresponding to the pollution level are arranged for the position of the target area; obtaining pollution degree C0 corresponding to a target area; wherein C1 is more than C2 and less than C3;
when C1 is less than or equal to C0 and less than or equal to C2, the target area is a light pollution area;
when C2 is more than C0 and less than or equal to C3, the target area is a moderate pollution area;
when C0 is more than C3, the target area is a heavy pollution area;
the method for adjusting the position of the target area according to the pollution degree is as follows: and selecting the position with the highest pollution degree and gradually progressive pollution degree in the target area as the central position of the target area.
Preferably, a first water flow speed threshold E1, a second water flow speed threshold E2, a third water flow speed threshold E3, a first water flow speed adjustment factor D1, a second water flow speed adjustment factor D2 and a third water flow speed adjustment factor D3 are set for the water flow speed of the target area; acquiring the water flow speed E0 of a current target area, and adjusting the number Bn of the target areas; wherein D1 is more than D2 and less than D3, E1 is more than E2 and less than E3;
when E1 is less than or equal to E0 and less than or equal to E2, the target area is a slow flow area, and the number Bn of the regulated target areas=B0×D1;
when E2 is less than E0 and less than or equal to E3, the target area is a medium flow speed area, and the number Bn of the regulated target areas=B0×D2;
when E0 > E3, the target area is a rapid flow velocity area, and the adjusted target area quantity bn=b0×d3;
specifically, the number of the target areas is adjusted by selecting the water flow speed in the target areas, so that the number of the target areas divided by the areas with urgent water flow and the areas with slow water flow is different, and the target areas with different sizes are formed.
S022, performing gridding calculation on the target area, and dividing the target area into a plurality of grid units.
Preferably, the target area is uniformly divided into grid cells according to the position coordinates, and the size of each grid cell is the same, so that the pollution area can be more accurately positioned, and the water surface area for treatment can be conveniently reduced or enlarged later.
S023, determining a transverse detection path of the sampling point according to the water quality characteristics and pollution conditions of each grid unit.
Preferably, as shown in fig. 3, determining the lateral detection path of the sampling point includes:
s031, selecting a flow path which is the same as the flow direction of water flow according to the flow direction of the water flow of the reservoir, arranging corresponding detection equipment on the flow path, collecting water quality parameters of each set point on the flow path according to the detection equipment, and simultaneously knowing the time-space change characteristics of the water quality.
S032, analyzing according to the water quality parameters of each flow path, and estimating the change trend and pollution condition of water quality through the set data model, when the water quality is abnormal or the pollutants exceed the standard, triggering an early warning mechanism in time, and notifying related personnel to prevent.
S033, judging whether each set point on the flow path is in the same grid unit, if so, calculating water quality change information between the current set points to perform weighted averaging, and writing the average value into the current grid unit; if not, acquiring the water quality change information around the set point, and writing the average value of the water quality change information into the corresponding grid unit.
S034, when all grid cells are completed through average value interpolation, calculating a distance difference value between the current set point and the edge position of the grid cell, and when the distance difference value is smaller than a preset threshold value, taking the flow path as a transverse detection path.
Further, the correlation between the transverse detection path and the grid unit is determined, whether the center point of the grid unit is located on the flow path is judged, and if the center point of the grid unit is located on the flow path, the center point of the grid unit is regarded as being located at the grid unit; if not, the transverse detection path is adjusted according to the distance between the set point and the grid unit.
The reservoir treatment is divided into a plurality of target areas according to the water flow speed, the pollution degree and the water surface area, and grid units are arranged on the plurality of target areas, so that finer operation conditions during the pollution treatment are improved; when the moving path of the water flow is used as detection, the space-time characteristics of water surface pollution diffusion during water surface treatment can be accurately identified, and the accuracy of water surface treatment is further improved.
Embodiment III: after the transverse detection paths of all the sampling points are obtained, in order to improve the accuracy of detection data, the set water depth of the sampling equipment is adjusted when the water body is sampled, so that the change of water quality components in different vertical directions is obtained, and the vertical detection paths of the sampling points are determined.
Acquiring the component detection degree of each sampling point, and determining the water depth of the sampling point according to the component detection degree of the sampling point; the component detection level is used to represent the data case related between the pollution level of the sample and the water component.
Preferably, when component data of the sampling points are summarized, component detection degrees of the sampling points at different water depths are compared, and the component detection degrees are compared with preset component values to obtain component characteristics of each water depth sample;
and determining a vertical detection path of the sampling point according to the component characteristics of each water depth sample.
The water sample collection and analysis are carried out at sampling points with different depths, so that the vertical distribution condition of parameters such as dissolved oxygen, temperature, salinity, pH value and the like in the water body can be known. This helps to study stratification of the body of water, the structure of the vertical water column, and differences in the characteristics of bodies of water at different depths. Therefore, the quantity and the types of aquatic animals and plants put in different places can be determined according to the change condition of vertical distribution.
Embodiment four: in order to determine the change condition of the water body in the treatment and adjust the water body area detected each time according to the water body pollution condition, more accurate and effective data can be obtained when the water body is tested during diffusion.
Firstly, determining a place with good pollution removal effect, performing diffusion inspection according to the place with good pollution removal effect, and gradually expanding the detection area of each diffusion position according to the pollution degree for the inspected area, wherein the area with good pollution removal effect is divided into a plurality of areas according to different volumes and pollution factors; and determining a region with high pollution purification rate, then arranging acquisition equipment around the region with high pollution purification rate, acquiring water quality change information around the region with high pollution purification rate, and acquiring corresponding characteristics, so as to determine a purification region of water pollution in space, and guiding the purification trend to the region with slow water pollution purification.
Specifically, as shown in fig. 4, the diffusion treatment method for the treatment of contamination is as follows:
s041, acquiring acquisition data of each sampling point in a preset time period; the preset time period is 7 days, 15 days and 30 days; the composition change of each sampling point is sampled, so that the purifying speed of each sampling point is determined, and the place where the throwing is carried out is adjusted.
S042, selecting a region with good pollution removal effect in the sampling points, gradually performing diffusion inspection like a surrounding region, and determining the detection area of each diffusion position according to the pollution degree.
The diffusion check applied to the surrounding area can be achieved by the following example:
1. selecting a region with good pollution removal effect:
the contamination removal effect of region a was found to be significantly better than the other regions, so region a was selected as the starting point.
2. Defining a diffusion range and a step size:
defining the extent and step size of diffusion is a key parameter in determining the effectiveness of the diffusion test.
Diffusion range: for example, an initial diffusion range of 500 meters is defined, which means that starting from zone a, the water quality in the range of 500 meters around zone a is first examined.
Diffusion step size: the step size is defined as 100 meters, i.e. 100 meters out-diffusion at a time, for the next test.
3. Implementation of the diffusion test:
starting from a selected starting area (e.g., area a), the following steps are performed:
a water sample is collected in the area A, and the type and the concentration of pollutants are analyzed.
Along a predetermined diffusion direction (e.g., north, south, east, west), a water sample is collected every 100 meters of diffusion (i.e., one step).
The location, contaminant species and concentration of each sample point are recorded.
Until a predetermined diffusion range (500 meters) is reached, a round of diffusion inspection is completed.
4. Quantitative examples:
assuming diffusion from zone A, the initial contamination concentration is 10mg/L. From the diffusion test, the following data were obtained:
region a (center): 10mg/L
Diffuse north 100 meters: 8mg/L
Diffuse to south 100 meters: 9mg/L
Diffuse eastward 100 meters: 11mg/L
Diffuse to the west 100 meters: 12mg/L
From the above data, it can be seen that the concentration of contamination varies in different directions. The sampling strategy and pollution abatement strategy may then be adjusted based on these data. For example, if the concentration of contaminants in a certain direction continues to increase, it may be desirable to increase the sampling point density in that direction and enhance pollution abatement.
Preferably, in the diffusion test, one diffusion position is obtained every time one step is diffused outward from the starting point. At each diffusion location, its detection area is a region of a particular shape and size. For example, in all directions the detection area is a circle with a radius of 50 meters. This means that at each diffusion position, an area with a radius of 50 meters centered on that position is detected.
S043, according to the checking area of the diffusion position, acquiring a first pollution area corresponding to the diffusion position.
The first contaminated zone has a significantly higher decontamination rate than the other zones in terms of the decontamination rate, which can be measured as the reduction in contaminant concentration per unit time.
Assuming that the purge rate is defined as the percentage reduction in contaminant concentration, in this case the first contaminated area would have a purge rate above 10% at each data acquisition.
Preferably, the first pollution area is divided into a plurality of first pollution areas according to the volume and the pollution factor; the pollution factor is the pollution degree ratio of the pollution degree collected by the current sampling point to the pollution degree in the whole grid unit, and the size of the divided first pollution area is adjusted according to the size of the pollution factor.
First, the entire contaminated area is divided into grid cells of equal size. The volume of each grid cell may be denoted as V, assuming that the whole area is divided into N grid cells.
Each grid cell is sampled to collect its contamination level, which can be done by measuring the concentration of various contaminants. Assume that a certain concentration of contaminants is collected within a certain grid cell as C.
For each sampling point, calculating a pollution factor, wherein the pollution factor is the ratio of the pollutant concentration of the current sampling point to the sum of the pollutant concentrations in the whole grid unit, and the pollution factor is expressed as a mathematical formula: pollution factor= (pollutant concentration at the current sampling point)/(total pollutant concentration within grid cell).
Assuming that there are M sampling points within a certain grid cell, the pollution factor sum of that grid cell is: Σ (c_i)/(m×v), where c_i represents the contaminant concentration of the i-th sampling point.
And adjusting the size of the first pollution area according to the calculated pollution factor, setting a threshold value, and only when the pollution factor is higher than the threshold value, scribing the grid unit into the first pollution area.
For example, if the set threshold is 0.2, only those grid cells with pollution factors greater than 0.2 will be divided into first polluted areas.
Since the first pollution area is divided according to the pollution factor, it may happen that some areas are discontinuous with each other although the pollution factor is high, and in order to ensure the continuity of pollution control, the areas which are high in the pollution factor but are not adjacent to each other can be combined or split through the pollution connectivity of the areas and the adjacent grid units.
S044, comparing the water quality change information in the first pollution area, and determining the pollution diffusion trend of the first pollution area.
Water quality data for a recent time period (e.g., the last month) is compared to water quality data for an earlier time period (e.g., half a year ago). And analyzing the variation trend of various pollutant concentrations to determine whether the pollutant concentration rises, falls or remains stable.
If the average concentration of the pollutants in the latest time period is higher than that in the earlier time period, judging that the pollutants have a diffusion trend; if the average concentration of contaminants for the most recent time period is lower than for the earlier time period, the contamination may be slowing or controlled.
S045, selecting a second pollution area with low pollution purification rate in each direction of the first pollution area according to the pollution diffusion trend of the first pollution area; the second contaminated area is located around the first contaminated area and is characterized by a low contaminant removal rate.
After the primary direction of the first contaminated area is determined, the contamination purge rate in each direction may be analyzed with reference to the result of the diffusion test. Assuming that contamination purge rate data has been obtained for each direction, those directions in which the contamination purge rate is significantly lower may be selected, and the areas in those directions are the second contaminated areas.
S046, determining a water quality adjustment scheme of the second polluted area based on the association between the first polluted area and the second polluted area.
In the step, the pollution purification rate of the second pollution area is improved by the characteristic that the first pollution area has high pollution purification rate, so that the pollution treatment effect is improved;
for the first pollution area and the second pollution area, the pollution characteristics with the best reduction effect of the first pollution area and the pollution characteristics of the second pollution area are selected for comparison by extracting the relevance of the first pollution area and the second pollution area in the pollution purification rate, so that the mode that the pollution treatment effect of the second pollution area can be improved is determined, and the corresponding throwing point and the thrown biological species are adjusted, so that the treatment effect of the second pollution area is improved.
Specifically, as shown in fig. 6, the treatment modes for the first contaminated area and the second contaminated area are as follows:
and S061, collecting key data of the first pollution area and the second pollution area in the pollution treatment process. Including information on the concentration variation of various pollutants, the pollution purification rate, the treatment method used, the type of organisms put in, etc.
And S062, analyzing the relevance of the first pollution area and the second pollution area on the pollution purification rate. And determining the relation strength and influence factors between the two through a data analysis and statistical method.
S063, selecting the pollution characteristic with the best pollution purification effect from the first pollution area, and comparing the pollution characteristic with the pollution characteristic of the second pollution area. The similarity and the difference between the pollutant types, the concentration changes and other key characteristics are found out by comparing the pollutant types, the concentration changes and other key characteristics.
S064, determining a mode of improving the pollution treatment effect of the second pollution area according to the comparison result. If a certain biological species of the first contaminated area is excellent in the pollution treatment, it is considered that such a biological species is also dosed in the second contaminated area. Meanwhile, according to the special condition of the second pollution area, the delivery point may also need to be optimally adjusted.
S065, adjusting the delivery point and the biological species. And (3) according to the analysis result in the step S064, adjusting the putting point of the second pollution area and the put biological species.
The adjustment to the second contaminated area may be:
quantitatively analyzing the pollution contribution rate of each putting point in the second pollution area through the pollutant transmission model and the monitoring data; according to the analysis result, a region with higher contribution rate is preferentially selected as a new putting point so as to achieve more efficient pollution treatment; and accurately determining the coordinates of the new delivery point by using tools such as a Geographic Information System (GIS) and the like, and evaluating the accessibility and implementation conditions of the new delivery point.
Analyzing the biological species with the best reduction effect in the first contaminated area and evaluating its suitability in the second contaminated area; and selecting proper biological species for delivery according to the pollution characteristics and the ecological environment of the second pollution area. To the use of microorganisms, plants or other organisms with specific degradation capabilities; when determining the type and the quantity of the put-in organisms, factors such as ecological balance, prevention of organism invasion and the like are considered, so that adverse effects on an ecological system are avoided.
After the adjustment is performed, the monitoring of the second contaminated area is enhanced, data is collected periodically and abatement effects are assessed. The effectiveness of the adjustment measures is verified by comparing with the previous pollution treatment effect, and further optimization and improvement are carried out according to actual conditions.
The embodiment can quickly determine which places have better pollution removal effect through preliminary screening, which provides a basis for subsequent diffusion type inspection, and ensures that the starting point of the inspection is a relatively better area.
The method can more effectively utilize resources and avoid excessive investment in the severely polluted areas by starting from the places with good cleaning effect and performing diffusion inspection. Meanwhile, the detection area is gradually enlarged according to the pollution degree, and the detection accuracy and coverage are ensured.
The area with good pollution removal effect is divided into a plurality of areas according to different volumes and pollution factors, and the regional management mode can more accurately formulate different treatment strategies for different areas, so that the treatment pertinence is improved.
By continuously monitoring the water quality around areas with fast pollution purification rates, not only can the purification trend of these areas be known, but also the purification trend can be guided to areas with slow water pollution purification by the data. The guiding mode can promote the gradual purification of the whole polluted area, and simultaneously, the mode can reduce the consumption of human resources in the water surface treatment.
Fifth embodiment: as shown in fig. 5, when the pollution purifying speed on the water surface area is obtained, the position of the sampling point is adjusted, the sampling position is used for guiding the pollution treatment speed, and the moving path during water surface detection is adjusted, so that the reservoir pollution treatment is optimized.
S051, acquiring a water quality adjustment scheme of the second pollution area, and determining a treatment adjustment direction of the first pollution area according to the water quality adjustment scheme of the second pollution area; the treatment and adjustment direction of the first pollution area is the direction of treatment and adjustment of the first pollution area of the second pollution area, and is used for improving the treatment effect of the second pollution area.
S052, setting the position between the first pollution area and the second pollution area as a final sampling path according to the treatment adjustment direction of the first pollution area.
The final sampling path is selected at this time to cover the critical position between the first contaminated area and the second contaminated area to ensure that the water quality conditions of the two areas are sufficiently measured, and at the same time, the water quality differences of the two areas can be compared to provide data support for subsequent decisions and verify the effectiveness of the treatment.
S053, increasing sampling points at the boundary of the first pollution area and the second pollution area according to the final sampling path.
S054, outputting a final water quality adjustment scheme according to the change condition of the data collected by the sampling points.
By analyzing and adjusting the water quality of the first polluted area and the second polluted area in detail, a more refined water quality management mode is realized. The treatment measures can be ensured to be more effective for the symptoms, and the treatment effect is improved; according to the adjustment of the final sampling path and the sampling point, the final output water quality adjustment scheme is more reliable, and the decision risk is reduced.
The application provides a reservoir large water surface pollution control system, as shown in fig. 7, includes:
the system comprises a data acquisition unit, a throwing unit, a water quality area distribution unit, a path construction unit and a pollution evaluation unit;
the data acquisition unit is used for acquiring water quality change information in the reservoir;
the throwing unit is used for throwing aquatic animals and plants according to the water quality change information to obtain a plurality of throwing sets;
the water quality area distribution unit is used for constructing a water quality area distribution set according to the throwing set and the throwing position of aquatic animals and plants, and acquiring the position and size information of the sets;
the path construction unit is used for determining the distribution condition of different sampling points in water quality sampling according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points, wherein the water quality sampling path comprises a transverse detection path and a vertical detection path;
the pollution evaluation unit is used for determining the pollution degree of each water quality area distribution set, dividing the water quality area distribution set into a plurality of first pollution areas and second pollution areas and outputting a corresponding water quality adjustment scheme.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The method for treating the pollution of the large water surface of the reservoir is characterized by comprising the following steps of: s011, acquiring water quality change information in the reservoir, and forming a first water quality information set according to the water quality change information;
s012, acquiring aquatic animal and plant throwing conditions corresponding to the first water quality information set in the reservoir according to the first water quality information set, and acquiring a plurality of throwing sets;
s013, constructing a water quality area distribution set according to the throwing set and the throwing position, and acquiring the position and the size of the water quality area distribution set;
s014, acquiring sampling points during sampling of water quality change information according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points; the water quality sampling path comprises a transverse detection path and a vertical detection path;
s015, determining the pollution degree of each water quality area distribution set in the water quality sampling path according to the water quality sampling path, and outputting a water quality adjustment scheme according to the pollution degree of each water quality area distribution set.
2. A method of treating large water surface pollution of a reservoir as set forth in claim 1, comprising: s021, acquiring a water quality area distribution set, and acquiring a target area corresponding to each throwing set according to the water quality area distribution set;
s022, performing gridding calculation on the target area, and dividing the target area into a plurality of grid units;
s023, determining a transverse detection path of the sampling point according to the water quality characteristics and pollution conditions of each grid unit.
3. A method of treating large water surface pollution of a reservoir as set forth in claim 1, comprising: s031, selecting a flow path which is the same as the flow direction of water flow according to the flow direction of the water flow of the reservoir, arranging corresponding detection equipment on the flow path, and collecting water quality parameters of each set point on the flow path according to the detection equipment;
s032, analyzing according to the water quality parameters of each flow path, and estimating the change trend and pollution condition of water quality through a set data model, when the water quality is abnormal or the pollutants exceed the standard, triggering an early warning mechanism in time, and notifying related personnel to prevent;
s033, judging whether each set point on the flow path is in the same grid unit, if so, calculating water quality change information between the current set points to perform weighted averaging, and writing the average value into the current grid unit; if not, acquiring water quality change information around the set point, and writing an average value of the water quality change information into a corresponding grid unit;
s034, when all grid cells are completed through average value interpolation, calculating a distance difference value between the current set point and the edge position of the grid cell, and when the distance difference value is smaller than a preset threshold value, taking the flow path as a transverse detection path.
4. The method of claim 2, wherein each target area is divided into three dimensions according to pollution level, water flow speed and water surface area.
5. The method for treating large water surface pollution of reservoir as set forth in claim 1, wherein the vertical detection path is obtained by:
acquiring the component detection degree of each sampling point, and determining the water depth of the sampling point according to the component detection degree of the sampling point; the component detection degree is used for representing the data condition related between the pollution degree of the sampling and the water body component; comparing the component detection degrees of the sampling points at different water depths, and comparing the component detection degrees with preset component values to obtain component characteristics of each water depth sample; and determining a vertical detection path of the sampling point according to the component characteristics of each water depth sample.
6. A method of treating large water surface pollution of a reservoir as set forth in claim 1, comprising: s041, acquiring acquisition data of each sampling point in a preset time period;
s042, selecting a region with good pollution removal effect in the sampling points, gradually performing diffusion inspection on surrounding regions, and determining the detection area of each diffusion position according to the pollution degree;
s043, acquiring a first pollution area corresponding to the diffusion position according to the checking area of the diffusion position;
s044, comparing the water quality change information in the first pollution area, and determining the pollution diffusion trend of the first pollution area;
s045, selecting a second pollution area with low pollution purification rate in each direction of the first pollution area according to the pollution diffusion trend of the first pollution area;
s046, determining a water quality adjustment scheme of the second polluted area based on the association between the first polluted area and the second polluted area.
7. The method of claim 1, wherein the first pollution area is divided into a plurality of first pollution areas according to the volume and the pollution factor; the pollution factor is the pollution degree ratio of the pollution degree collected by the current sampling point to the pollution degree in the whole grid unit, and the size of the divided first pollution area is adjusted according to the size of the pollution factor.
8. A method of treating large water surface pollution of a reservoir as set forth in claim 6, comprising: s061, aiming at the first pollution area and the second pollution area, collecting key data of the first pollution area and the second pollution area in the pollution treatment process;
s062, analyzing the relevance of the first pollution area and the second pollution area on the pollution purification rate;
s063, selecting pollution characteristics with the best pollution purification effect from the first pollution area, and comparing the pollution characteristics with the pollution characteristics of the second pollution area;
s064, determining a mode of improving the pollution treatment effect of the second pollution area according to the comparison result;
s065, adjusting the delivery point and the biological species; and (3) according to the analysis result in the step S064, adjusting the putting point of the second pollution area and the put biological species.
9. A method of treating large water surface pollution of a reservoir as set forth in claim 6, comprising: s051, acquiring a water quality adjustment scheme of the second pollution area, and determining a treatment adjustment direction of the first pollution area according to the water quality adjustment scheme of the second pollution area;
s052, setting the middle position of the first pollution area and the second pollution area as a final sampling path according to the treatment and adjustment direction of the first pollution area;
s053, increasing sampling points at the boundary of the first pollution area and the second pollution area according to the final sampling path;
s054, outputting a final water quality adjustment scheme according to the change condition of the data collected by the sampling points.
10. A reservoir large water surface pollution abatement system, comprising: the system comprises a data acquisition unit, a throwing unit, a water quality area distribution unit, a path construction unit and a pollution evaluation unit;
the data acquisition unit is used for acquiring water quality change information in the reservoir;
the throwing unit is used for throwing aquatic animals and plants according to the water quality change information to obtain a plurality of throwing sets;
the water quality area distribution unit is used for constructing a water quality area distribution set according to the throwing set and the throwing position of aquatic animals and plants, and acquiring the position and size information of the sets;
the path construction unit is used for determining the distribution condition of different sampling points in water quality sampling according to the water quality area distribution set, and constructing a water quality sampling path corresponding to the sampling points, wherein the water quality sampling path comprises a transverse detection path and a vertical detection path;
the pollution evaluation unit is used for determining the pollution degree of each water quality area distribution set, dividing the water quality area distribution set into a plurality of first pollution areas and second pollution areas and outputting a corresponding water quality adjustment scheme.
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