JPH07171551A - Method and device for setting parameter for lake and marsh and purifying system - Google Patents

Abstract

PURPOSE:To shorten the time required for obtaining an optimum lake and marsh purifying system by setting lake and marsh purifying parameters based on target water quality data, physical data and variation with time data for lakes and marshes to be purified. CONSTITUTION:Variation with time data is selected out of water quality variation with time data kept in a variation with time data keeping section 5 by a variation with time data selecting section 6 based on a data forming a part of physical data, for instance, positions for lakes and marshes measured by a physical data measuring section 2. Data representing the transition of water quality of lakes and marshes to be purified are computed by a water quality transition data computing section 7 based on water quality data and variation with time data prepared by a water quality measuring section 3. Data forming a part of the physical data, for instance, surface area, water storage amount, depth, outflow water amount and the like, data representing the water quality, data representing a lake and marsh purifying system based on the target water quality and various kinds of parameters for the lake and marsh purifying system based on the target water quality are set up by a parameter setting section 8.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an apparatus for setting parameters of a lake purification system, and more specifically, a naturally occurring pond, a lake, a swamp, etc. A new method and apparatus for properly setting the parameters of a system for cleaning a lake).

[0002]

2. Description of the Related Art The protection of the natural environment has been widely demanded. In recent years, removal of pollution and pollution of lakes has been widely required as part of the protection of the natural environment. In particular, lakes and marshes are living environments themselves such as various types of seafood, aquatic organisms, and aquatic organisms.Therefore, it is not only natural pollution and pollution, but also lakes and marshes where artificial pollution and pollution are prominent. Purification is an urgent task for all mankind.

Under these circumstances, various methods for purifying lakes have been proposed or implemented. These methods are roughly classified into (1) a method of controlling inflow water to the lake, (2) a method of removing phosphorus, etc., and (3) a method of maintaining the lake in an aerobic state (a state in which oxygen is sufficient). It
And either method can exert a considerable effect for cleaning the lake.

Explaining in more detail, pollution and pollution of lakes and marshes progress by repeating the following series of activities and reactions. That is, humic substances from forests (final decomposition products of organic matter), metal eluted from groundwater, chemicals contained in agricultural wastewater, pollutants contained in domestic wastewater (phosphorus, nitrogen, etc.), pollutants contained in factory wastewater ( (Phosphorus, nitrogen, etc.), silt components (earth and sand) contained in construction wastewater, etc. flow into the lake, generating algae (autotrophic microorganisms that perform inorganic → organic production activities) on the surface of the lake, and generating fungi (algae). Heterotrophic microorganisms used as nutrients). Then, algae, fungi and the like settle at the bottom of the lake after they die. Since this bottom is in an anaerobic state (a state where oxygen is insufficient), the algae that have settled,
Fungi and the like decompose in an anaerobic state, reducing and elution of metals and re-emission of polluted components. The reduced and eluted metal, the re-emitted pollutant, etc. are returned to the surface of the lake again due to the hydraulic phenomenon in the lake.

Therefore, if the method (1) is adopted, the inflow amount of the inorganic substances that cause the generation of algae can be significantly reduced, and the inconvenience that the lakes and marshes are contaminated unnaturally can be prevented. be able to. Further, by adopting the method of (2) above, the amount of algae in the surface layer of the lake can be significantly reduced, the generation of fungi and the decay in the anaerobic state can be significantly reduced, and the lake can be significantly purified. You can Further, by adopting the method (3), it is possible to significantly reduce the anaerobic decay at the bottom of the lake, and to prevent the inconvenience of contamination and pollution from the decay products.

[0006]

However, in the case of adopting the method of (1) above, equipment for controlling the inflow of each of the above inflow components is required, and the cost of the entire lake purification system is reduced. However, there is a problem in that In the case of purifying a particularly large lake, the number of inflow paths for each inflow component is significantly increased, which further increases the cost of the lake purification system as a whole. In addition, it is necessary to identify the components to be filtered or removed for each inflow path to some extent, and to install equipment capable of efficiently performing the filtering or removal treatment on the identified components. It is extremely difficult to perform the component identification processing and the equipment selection processing suitable for the identified components for each of the inflow paths. As a result, actually, the equipment selection process is performed by trial and error without performing the accurate component identification process. In this case, since it takes a long time to check the purification performance associated with the selection process, the time required to select the appropriate equipment will increase significantly and the amount of work will increase significantly. Will end up.

When the method (2) is adopted, the type and amount of algae are detected, parameters such as filtration rate and surface area of the filter medium are set, and a lake purification system according to the set parameters is set. Since it will be installed, (1) above
The cost of the lake purification system as a whole can be significantly reduced as compared with the above method. However, lakes do not maintain a certain level of water quality throughout the year, and water quality changes significantly throughout the year, and the changes in water quality are greatly affected by the location of lakes. Therefore, depending on the type of algae, the amount of algae detected, etc., the set parameters may deviate significantly from the appropriate parameters, making it impossible to achieve the desired lake purification performance. Then, in order to determine whether or not the desired lake purification performance has been achieved, it is necessary to perform lake purification treatment for a considerably long period of time, and furthermore, it is necessary to achieve the desired lake purification performance. Even if it is determined that the parameter cannot be set, the set value of the parameter is changed by trial and error. Therefore, not only the time required until the parameters of the lake purification system can be properly set becomes significantly long, but there is no guarantee that the finally set parameters are optimal.

When the method (3) above is adopted, aeration equipment is required to bring the bottom of the lake into a sufficient aerobic state, and moreover, the volume and depth of the lake increase. Since it is necessary to increase the size of the aeration equipment, this generally leads to a significant cost increase. In addition, since the aeration equipment does not actively remove pollutants that cause pollution and pollution, it is extremely difficult to determine what degree of aerobic condition is appropriate. The possibility of installation is extremely high, which leads to insufficient purification or a significant increase in cost for purification.

Further, when at least two of the above methods (1), (2) and (3) are adopted, not only the above-mentioned inconveniences occur in each of the adopted methods, but also the synergistic effect and the like of the adopted methods. Since it is also necessary to check, the above-mentioned inconvenience becomes more remarkable.

[0010]

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and a method for setting parameters of a lake purification system, which can easily set parameters of the lake purification system according to the lake to be purified, and The purpose is to provide the device.

[0011]

In order to achieve the above object, the method for setting parameters of a lake purification system according to claim 1 obtains physical data of a lake to be purified, and at the same time, quality of the lake water at an arbitrary date and time. Obtain data, calculate temporal change data of lake water quality based on the obtained water quality data, and set parameters of the lake purification system based on target water quality data of the lake to be purified, physical data, and temporal change data Is the way.

The method for setting parameters of a lake purification system according to claim 2 obtains water quality data of a lake to be purified by simulation based on the lake purification system having parameters set by the method of claim 1, and obtains by simulation. It is a method to evaluate the set parameters of the lake purification system based on the water quality data and the target water quality data.

A parameter setting device for a lake purification system according to a third aspect of the present invention is a physical data holding means for obtaining and holding physical data of a lake to be purified, and a water quality measurement for obtaining and holding water quality data of the lake at an arbitrary date and time. Means and time-varying data that categorizes lakes and marshes, and retains time-varying data of lake water quality for each type, and time-varying data that selects appropriate time-varying data based on physical data of lakes to be purified It includes data selecting means and parameter setting means for setting parameters of the lake purification system based on the target water quality data of the lake to be purified, physical data, water quality data at any date and time and selected time-dependent change data. .

A parameter setting device for a lake purification system according to a fourth aspect of the present invention is a simulation means for obtaining water quality data of a lake to be purified based on the parameters set by the parameter setting means by simulation, and a water quality obtained by the simulation means. Evaluation means for evaluating the set parameters of the lake purification system based on the relative relationship between the data and the target water quality data.

[0015]

According to the method for setting parameters of a lake purification system according to claim 1, physical data of a lake to be purified and water quality data of the lake at an arbitrary date and time are obtained,
Since the temporal change data of the water quality of the lake is calculated based on the obtained water quality data, it is possible to easily obtain the change characteristics of the water quality within a predetermined period. Then, since the parameters of the lake purification system are set based on the target water quality data of the lake to be purified, the physical data, and the time-dependent change data, the parameter setting that was conventionally only based on trial and error was performed based on the above various data. Can be performed quantitatively or qualitatively, and the time required to set parameters suitable for the lake to be purified in the lake purification system can be greatly shortened, and the amount of work can be significantly reduced. can do.

According to the lake purification system parameter setting method of claim 2, water quality data of a lake to be purified is obtained by simulation based on the lake purification system having the parameters set by the method of claim 1, and the simulation is performed. Since the set parameters of the lake purification system are evaluated based on the obtained water quality data and the target water quality data, it is possible to easily evaluate whether or not the set parameters are appropriate in a short time,
Compared with the conventional trial-and-error method, it is possible to significantly reduce the time required until an appropriate parameter is set, and it is possible to easily confirm that the appropriate parameter has been set.

According to the parameter setting device of the lake purification system of claim 3, the physical data holding means obtains and holds the physical data of the lake to be purified, and the water quality measuring means acquires the water quality data of the lake at an arbitrary date and time. Get and hold. Then, from the time change data holding means that categorizes lakes and holds time change data of water quality of lakes for each type, the time change data corresponding to the time change data selection means based on the physical data of the lake to be purified Select. Then, the parameter setting means sets the parameters of the lake purification system on the basis of the target water quality data of the lake to be purified, the physical data, the water quality data at any date and time, and the selected time-dependent change data. Therefore, the parameters can be set quantitatively or qualitatively based on the above-mentioned various data, which can be set only by trial and error, and the parameters suitable for the lake to be purified can be set in the lake purification system. You can

According to the parameter setting device of the lake purification system of claim 4, the simulation means performs a simulation to obtain the water quality data of the lake to be purified based on the parameters set by the parameter setting means, and the simulation means. The parameter set by the lake purification system is evaluated by the evaluation means based on the relative relationship between the water quality data obtained by the above and the target water quality data. Therefore, whether or not the set parameters are appropriate can be easily evaluated in a short time, and the time required until the appropriate parameters are set can be significantly increased as compared with the conventional trial and error method. It can be shortened and it is possible to easily confirm that the appropriate parameters have been set.

More specifically, it is known that the water quality of lakes is not constant throughout the year and constantly changes. Therefore, the water quality of the lake to be purified cannot be accurately grasped, and in the conventional lake purification system, it was thought that the setting of various quantitative and qualitative parameters could only be done by trial and error. However, as a result of intensive studies by the inventors of the present invention, they found that the water quality of lakes and marshes changed at a predetermined rate depending on the season, and the rate of change varied depending on the position of the lake and marshes. Then, by simply measuring the actual water quality at an arbitrary date and time, the water quality transition for a predetermined period, generally one year, is obtained, and the parameters of the lake purification system are appropriately set based on the obtained water quality transition. The inventors have completed the present invention by discovering that they can be achieved.

[0020]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings showing embodiments. FIG. 1 is a flowchart for explaining an embodiment of a parameter setting method for a lake purification system according to the present invention. Waiting until the lake to be purified and the target water quality of this lake are set in step SP1,
In step SP2, the physical data (position, surface area, stored water amount, depth, outflow water amount, etc.) of the lake to be purified is measured and held, and in step SP3 the water quality of the lake to be purified is measured, and in step SP4. , The obtained water quality data is temporarily stored together with the measurement date and time (here, the date and time preferably include the date and time, but may be only the date and time. The same applies hereinafter), and step SP
In step 5, the corresponding time-dependent change data is selected from a plurality of preset time-dependent changes in water quality based on a part of the physical data, such as the position, and is obtained by measurement in step SP6. Based on the measured water quality data and the temporal change data, the data showing the change in the water quality of the corresponding lake is obtained, and in step SP7, a part of the physical data, for example, the surface area, the stored water amount,
Various parameters of the lake purification system are set based on the depth, the amount of runoff water, the data showing the transition of the water quality, and the target water quality.

More specifically, the above step S
In P3, suspended solids (s
concentration of used solids (hereinafter abbreviated as SS), chemical oxygen demand (chemical o
xygen demand (hereinafter, abbreviated as COD), total phosphorus (hereinafter, abbreviated as T-P), oil content, turbidity, particle size of suspended matter, and the like are measured. However, some pollution,
It is also possible to calculate the amounts of other pollutants and pollutants based on the measured values of the pollutants, and in this case, the actual number of measurement items can be reduced.

In step SP2, all the physical data may be measured, but if there is known data, the measurement need not be performed again. As the above-mentioned time-dependent change data, SS, COD, T throughout the year
-A change pattern such as P is shown for each region. 2 shows a change pattern of SS, FIG. 3 shows a change pattern of COD, and FIG. 4 shows a change pattern of TP. In each figure, a indicates a change pattern in the Kansai pond and b indicates a change pattern in the Kanto pond. ing.

In step SP5, for example, by correcting the time-dependent change data based on the ratio between the data obtained by the measurement and the value of the time-dependent change data at the relevant date and time, data indicating the actual transition of water quality is obtained. obtain.
Therefore, based on this data, it is possible to calculate the amount of the causative substance of pollution and pollution for each predetermined period. Specifically, it is preferable to calculate the average amount of pollution and pollutants.

In step SP6, the amount and target of the pollutant-causing substance for each predetermined period derived from the data showing the transition of water quality such as surface area, water storage amount, depth, outflow water amount in the physical data. Set various parameters of the lake purification system based on water quality. Here, the parameters to be set include, of course, quantitative parameters, but it is preferable to include qualitative parameters. Specifically, the blocking performance of the filter media, filtration rate, required differential pressure, size, number of installed devices, operating time of the device, etc. are set as quantitative parameters, and whether the filter device is used alone or the aeration device is used in combination. Distinction, device installation position, device type,
Whether or not a coagulant is used is set as a qualitative parameter.

By assembling a lake purification system that satisfies the various parameters set as described above, a lake purification system most suitable for the lake to be purified can be obtained, and the lake can be purified efficiently. You can Of course, as is clear from the above explanation, no trial and error is required to set the parameters, so the time required to obtain the optimum lake purification system can be greatly reduced and the amount of work can be reduced. It can be significantly reduced.

The step of waiting until the target water quality is set may be performed, for example, after the water quality is measured in step SP3.

[0027]

[Embodiment 2] FIG. 5 is a flow chart for explaining another embodiment of the parameter setting method of the lake purification system of the present invention. The difference from the flow chart of FIG. 1 is that after various parameters are set in step SP7, purifying the substance every purifying target material balance equation _{V (dC o / dt) =} Q i C i + P-Q r ηC o -Q o C o ( where, V is lakes capacitance, C _i is the influent purification substance concentration , C _o is the concentration of the target substance for purification of outflow water, Q _i is the inflow water amount,
Q _o is the amount of effluent water, Q _r is the amount of purification treatment, P is the internal growth rate of the purification target substance, and η is the one-pass blocking rate of the purification target substance by the filtration device. ) Is obtained, step SP9 for performing a simulation calculation of purification based on the purification target substance balance equation, and the desired purification performance is achieved based on the amount of the purification target substance and the target amount obtained by the simulation calculation. Step SP for identifying whether or not it has been completed
It is only the point which further includes 10 and.

Therefore, in the case of this embodiment, the purification of the lake by the lake purification system in which the parameters are set can be simulated based on the purification target material balance equation (specifically, the set parameters are Since the purification processing amount Qr of the purification target substance balance formula and the 1-pass blocking rate η of the purification target substance by the filtering device are reflected, a simulation is performed based on the purification target substance balance formula that reflects these). Based on this, it is possible to identify in a short time whether or not the desired purification performance can be achieved. That is, it takes a considerably long time to confirm whether the desired purification performance can be achieved by operating the lake purification system.
According to this embodiment, it is only necessary to carry out the simulation calculation, and therefore the required time can be remarkably shortened.

[0029]

[Embodiment 3] FIG. 6 is a block diagram showing an embodiment of a parameter setting device of a lake purification system according to the present invention. The target water quality holding unit 1 holds the target water quality of the lake to be purified, and the purification target. Physical data measuring unit 2 for measuring and retaining physical data of a lake, a water quality measuring unit 3 for measuring water quality of a lake to be purified, and water quality data obtained by the water quality measuring unit 3 together with measurement date and time. Based on a part of the physical data, for example, the position, the water quality data holding unit 4 that holds the data, the time change data holding unit 5 that holds a plurality of preset water quality change data of the water quality,
Water quality data and time-dependent change data obtained by the time-dependent change data selecting unit 6 that selects the corresponding time-dependent change data from the time-dependent change data of the water quality held in the time-dependent change data holding unit 5 and the water quality measuring unit 3. Based on the water quality transition data calculation unit 7 for calculating the data indicating the transition of the water quality of the lake and a part of the physical data,
For example, it has a surface area, a water storage amount, a depth, an outflow water amount, and the like, data indicating the transition of water quality, and a parameter setting unit 8 that sets various parameters of the lake purification system based on the target water quality.

The operation of each component is the same as the process of the corresponding step of the flowchart of FIG. 1, and therefore detailed description will be omitted. With the parameter setting device of the lake purification system having the above configuration, when the target water quality of the lake to be purified is set, the physical data measurement unit 2 measures and holds the physical data of the lake and measures the water quality. Part 3
Then, the water quality of the lake is measured and stored in the water quality data storage unit 4 together with the measurement date and time. Then, based on a part of the physical data, for example, the time-dependent change data selecting unit 6 selects the corresponding time-dependent change data from the plurality of time-dependent change data held in the time-dependent change data holding unit 5. Then, based on the water quality data obtained by the water quality measuring unit 3 and the selected time-dependent change data, the water quality change data calculating unit 7 calculates data indicating the change in water quality. afterwards,
Part of the physical data, for example, surface area, water storage, depth, outflow, etc., and data showing the transition of water quality,
The parameter setting unit 8 sets various parameters of the lake purification system based on the target water quality.

Therefore, by assembling a lake purification system that satisfies the various parameters set as described above, it is possible to obtain an optimum lake purification system for the lake to be purified, and to purify the lake efficiently. You can Of course, as is clear from the above explanation, no trial and error is required to set the parameters, so the time required to obtain the optimum lake purification system can be greatly reduced and the amount of work can be reduced. It can be significantly reduced.

[0032]

[Fourth Embodiment] FIG. 7 is a block diagram showing another embodiment of the parameter setting device of the lake purification system according to the present invention.
6 is different from the block diagram of FIG. 6 in that an equation setting unit 9 sets a purification target substance balance equation based on the parameters set by the parameter setting unit 8 and a purification simulation calculation is performed based on the purification target substance balance equation. The simulation calculation unit 10 and the purification performance identification unit 1 for identifying whether or not the desired purification performance is achieved based on the amount of the purification target substance and the target amount obtained by the simulation calculation.
The only difference is that it also has 1.

The operation of each component described above is the same as the process of the corresponding step of the flow chart of FIG. 5, so detailed description thereof will be omitted. In the case of the parameter setting device of the lake purification system having the above-mentioned configuration, when the parameter is set by the parameter setting unit 8, the formula setting unit 9 sets the purification target substance balance equation for each purification target substance, and the simulation calculation unit According to 10, a purification simulation calculation is performed based on the purification target substance balance equation. Then, the purification performance identification unit 11 determines whether or not the simulation calculation result is a value that is close to the target amount of the purification target substance that is determined based on the target water quality, and whether or not the desired purification performance is achieved. Can be identified.

Therefore, when a simulation result showing that the desired purification performance is achieved, the lake purification system is assembled or adjusted based on the parameters set by the parameter setting unit 8. It is possible to purify lakes and marshes to be purified. On the contrary, when a simulation result indicating that the desired purification performance is not achieved is obtained, the parameter setting process may be performed again.

As is clear from the above, it takes a considerably long time to check whether or not the desired purification performance can be achieved by operating the lake purification system. According to this, since it is sufficient to simply perform the simulation calculation, the required time can be remarkably shortened.

[0036]

[Specific example] A specific example of setting parameters of a lake purification system for purifying a eutrophic pond will be described. However, in this specific example, qualitative parameters are preset in order to adopt the lake purification system based on the method (2).

In this case, first, for example, the state of each month of the pond to be cleaned is estimated based on the actual measurement values of the same kind of pond (hereinafter referred to as a model pond) in the same area selected in advance. In the model pond, COD is 15-35 mg / l, TP
Of 0.18 to 0.38 mg / l and total nitrogen of 2.0 to 3.
It was 8 mg / l and SS of each month was as shown in Table 1.

[0038]

[Table 1]

Here, the average value of the SS actual measurement values for the year is calculated as C _av
And then, the average value C SS measured values of each month for _av C _ik (where, i = 1,2, ···, 12 ) are calculated as a relative proportionality constant ratio f _i of. And 3 of the pond to be purified
If the monthly SS actual measurement value is 20 mg / l, the relationship C _av = C _3k / f ₃ is established between the _March actual SS value C _3k and the average value C _av , so that C _3k = 20. , F ₃ = 0.67, the average value C _av = 29.9 is obtained. Therefore, the SS value of each month can be calculated based on the obtained average value C _av and the relative proportionality constant f _i of each month (see Table 2).

[0040]

[Table 2]

However, when SS actual measurement values for a plurality of months are obtained, a plurality of C _ik values obtained on the basis of the obtained SS actual measurement values and the relative proportional constant of each month are calculated. It is preferable to adopt the average value as the average value C _av . Moreover, when the correlation between SS and T-P of the annual average is obtained in advance and the measured value of T-P is obtained, the average is calculated based on the measured value of T-P and the correlation. Value C
You may get _av . Then, in any case, the SS value of each month can be calculated based on the obtained average value C _av .

Further, a filter device for removing phosphorus and the like together with plankton is installed in the pond to be purified, the inflow water amount into the pond is Q _i , the inflow water SS concentration is C _i ,
The amount of runoff water is Q _o , the concentration of SS runoff water is C _o , the amount of water supplied to the filter device is Q _r , the SS blocking rate (recovery rate) is η by the filter device, the reservoir water volume is V, and the plankton internal growth rate is P. Then, the SS concentration change inside the pond can be expressed by the following equation. _{V (dC o / dt) =} Q i C i + P-Q r C o η-Q o C o Thus, for _{example, Q i = Q o = 0} , V = 35,000
m ³ , Y = 1.0 g / m ² · day (the total growth rate P of plankton is a value obtained by multiplying Y by the surface area of the pond), the SS concentration before the start of purification is 50 mg / l, η = 40% In some cases, by setting Q _r = 3,000 m ³ / day, that is, the number of days required for one turn V / Q _r = 11.7, it is possible to reduce the SS concentration by almost half in four turns. I understand.
Then, when the simulation of pond purification was performed using the above parameters, the simulation results of Table 3 were obtained. Here, the term "turn" means the number of times the total amount of water in the pond is circulated by the filter device. Further, in Table 3, the unit of SS concentration is mg / l, the unit of transparency is cm, and the unit of collected cake is kg · ws / day. The number of collected cakes is calculated with a water content of 83%.

[0043]

[Table 3]

[0044] Further, dC _o / dt = 0, i.e. the C _o in the steady state and the outer 1, the outer 2 C _o in the steady state of each month, the SS rejection of each month eta _i, SS rejection eta _i in the SS concentration when the purification system was run t days C _it, if the plankton internal growth rate of each month and Pi, Equation 1, Equation 2
The relational expression of can be obtained.

[0045]

[Outer 1]

[0046]

[Outside 2]

[0047]

[Equation 1]

[0048]

[Equation 2]

If the average particle size of each month is d _50i (μm), the relationship between the average particle size d _50i of each month and the single film rejection rate η _i due to the filter cloth is shown in Table 4, for example. Be done.

[0050]

[Table 4]

Based on the conditions in Tables 2 and 4 and the measurement results of the plankton growth rate Y _i per unit surface area, the average water depth was 2.0 m, the surface area was 3250 m ² , and the total water storage amount was 6.
500m ^3, COD is 8mg / l, the T-P 0.14m
g / l, total nitrogen hitting the performing purification of pond 1.4 mg / l, the result of performing a simulation based on the number 1 and number 2 to set the Q _r to 1300 m ^3, the simulation results of Table 5 I was able to get it. In Table 5, C _i15 is a value that is estimated to be reached when the cleaning system is differentiated for 15 days for 15 days, and means a monthly average value. Fig. 8 shows the SS concentration of each month, Fig. 9 shows the transparency of each month, and each purification system has a SS blocking rate of ηi.
The value reached after 5 days of operation is expressed as the average value for the month. Moreover, when the pond was actually purified, the results close to the simulation results were obtained. The transparency (cm) was calculated based on the 400 / SS concentration (mg / l). Further, in FIGS. 8 and 9, “a” indicates before the purification system is installed, and “b” indicates after the purification system is installed.

[0052]

[Table 5]

[0053]

As described above, according to the first aspect of the present invention, the parameter setting which has conventionally been made only by trial and error is performed quantitatively or qualitatively based on the physical data of the lake and the water quality data at an arbitrary date and time. The result is that the time required to set up a lake purification system with parameters suitable for the lake to be purified can be significantly shortened, and the work volume can also be significantly reduced. Play.

According to the second aspect of the present invention, whether or not the set parameters are appropriate can be easily evaluated in a short time, and the appropriate parameters can be set as compared with the conventional trial and error method. It is possible to significantly reduce the time required until the setting is performed, and it is possible to easily confirm that the appropriate parameters are set, which is a unique effect.

According to the third aspect of the present invention, the parameters can be set quantitatively or qualitatively on the basis of the physical data of the lake and the water quality data at an arbitrary date and time, which can be set only by trial and error in the past. It is possible to significantly reduce the time required to set up a lake purification system having parameters suitable for lakes and lakes, and it is possible to significantly reduce the amount of work.

According to the fourth aspect of the present invention, whether or not the set parameter is appropriate can be easily evaluated in a short time, and the appropriate parameter can be set as compared with the conventional trial and error method. It is possible to significantly reduce the time required until the setting is performed, and it is possible to easily confirm that the appropriate parameters are set, which is a unique effect.

[Brief description of drawings]

FIG. 1 is a flowchart illustrating an embodiment of a parameter setting method for a lake purification system according to the present invention.

FIG. 2 is a diagram showing an example of a change pattern of SS.

FIG. 3 is a diagram showing an example of a COD change pattern.

FIG. 4 is a diagram showing an example of a T-P change pattern.

FIG. 5 is a flowchart explaining another embodiment of the parameter setting method for the lake purification system according to the present invention.

FIG. 6 is a block diagram showing an embodiment of the parameter setting device of the lake purification system of the present invention.

FIG. 7 is a block diagram showing another embodiment of the parameter setting device for the lake purification system according to the present invention.

FIG. 8 is a diagram showing changes in SS concentration before and after the purification system is installed.

FIG. 9 is a diagram showing changes in transparency before and after the purification system is installed.

[Explanation of symbols]

 2 Physical data measurement unit 3 Water quality measurement unit 4 Water quality data storage unit 5 Time change data storage unit 6 Time change data selection unit 8 Parameter setting unit 9 Formula setting unit 10 Simulation calculation unit 11 Purification performance identification unit

Claims (4)

[Claims] 1. Obtaining physical data of a lake to be purified and water quality data of the lake at an arbitrary date and time,
Based on the obtained water quality data, the water quality change data of the lake is calculated, and the target water quality data of the lake to be purified,
A parameter setting method for a lake purification system, characterized by setting parameters for a lake purification system based on physical data and time-varying data. 2. The water quality data of the lake to be purified is obtained by simulation based on the lake purification system whose parameters are set by the method of claim 1, and the lake is obtained based on the water quality data and the target water quality data obtained by the simulation. The parameter setting method for a lake purification system according to claim 1, wherein the set parameters of the purification system are evaluated. 3. A physical data holding means (2) for obtaining and holding physical data of a lake to be purified, and a water quality measuring means (3) (4) for obtaining and holding water quality data of a lake at an arbitrary date and time. , Time-varying data storage means (5) that categorizes lakes and holds time-varying data of lake water quality for each type, and time-varying data that is selected based on physical data of lakes to be purified Change data selection means (6) and target water quality data of lakes to be purified,
A parameter setting device for a lake purification system, comprising: parameter setting means (8) for setting parameters of the lake purification system based on physical data, water quality data at an arbitrary date and time, and selected temporal change data. 4. The simulation means (9) (10) and the simulation means (10) for obtaining the water quality data of the lake to be purified by simulation based on the parameters set by the parameter setting means (8). The parameter setting device for a lake purification system according to claim 3, further comprising an evaluation means (11) for evaluating the set parameters of the lake purification system based on the relative relationship between the water quality data and the target water quality data.