CN110146122B - Method for predicting operation effectiveness of rural domestic sewage treatment facility - Google Patents

Abstract

The invention discloses a method for predicting the operation effectiveness of rural domestic sewage treatment facilities. The method includes: measuring the electrical conductivity of influent water and the electrical conductivity of effluent water, recording the operation of the facility, and calculating a σ value; dividing it into several σ intervals, and establishing the σ interval and the σ interval. The relationship diagram of the operation of rural domestic sewage treatment facilities; the effective operation rate is counted, and the σ threshold interval is determined; the operation of the rural domestic sewage treatment facilities to be predicted is predicted. The prediction method of the invention reasonably utilizes the detection index of the electrical conductivity of the incoming and outgoing water to predict the operation effectiveness of the rural domestic sewage treatment facilities, which not only has high accuracy, but also is fast and cheap.

Description

A method for predicting the operational effectiveness of rural domestic sewage treatment facilities

technical field

The invention relates to the technical field of wastewater treatment, in particular to a method for predicting the operation effectiveness of rural domestic sewage treatment facilities.

Background technique

In recent years, the number of rural domestic sewage treatment facilities in my country has increased dramatically. Taking Zhejiang as an example, rural domestic sewage treatment facilities have basically achieved full coverage of villages and households, and each county can have hundreds of facilities, and the geographical location is highly dispersed. The number of these facilities is large and the area is wide. At present, they mainly rely on manual operation and maintenance management. However, the effectiveness of facility operation, especially the removal effect of major pollutants such as COD, ammonia nitrogen, and TP, cannot be quickly judged. If the water quality indicators are monitored based on the national standard method, the cost of sampling and water quality testing in the supervision process is high, the cycle is long, and the workload is large, and it is difficult to indicate the operational effectiveness of the facility in real time.

The workload of sampling and water quality testing is enormous for the numerous and scattered rural domestic sewage treatment facilities. Moreover, based on the national standard method, the cost of detection is high and the timeliness is poor, and it is impossible to control rural domestic sewage treatment facilities in a targeted manner by obtaining real-time effluent results.

In addition, due to financial constraints, it is impossible for rural sewage treatment facilities to use a large number of online monitoring devices for systematic monitoring and management like urban sewage plants; and the rapid detection methods for COD, ammonia nitrogen and other indicators are often inconsistent with the national standard method. Therefore, when judging the operation of rural domestic sewage treatment facilities through the results obtained by these rapid water quality testing instruments, the judgment results are often inaccurate due to the accumulation of errors.

Therefore, monitoring the operation effectiveness of rural domestic sewage treatment facilities is a difficult problem in the operation and maintenance of rural sewage treatment facilities.

SUMMARY OF THE INVENTION

The invention provides a method for predicting the operation effectiveness of rural domestic sewage treatment facilities. The prediction method reasonably utilizes the detection index of the electrical conductivity of the inlet and outlet water to predict the operation effectiveness of the rural domestic sewage treatment facilities. cheap.

The specific technical solutions are as follows:

A method for predicting the operation effectiveness of rural domestic sewage treatment facilities, comprising the following steps:

(1) Select several rural domestic sewage treatment facilities, measure the influent conductivity and effluent conductivity of the rural domestic sewage treatment facilities at the same time, record the operation of the corresponding rural domestic sewage treatment facilities, and calculate the water conductivity and influent conductivity. The ratio of the rate, recorded as σ value;

(2) According to the size of the σ value obtained in step (1), divide the σ value into several σ intervals, with the σ interval as the abscissa, and the number of effectively operating facilities and the number of ineffectively operating facilities corresponding to the σ interval as the double The ordinate is to establish the relationship between the σ interval and the operation of rural domestic sewage treatment facilities;

(3) According to the relationship diagram obtained in step (2), count the effective operation rates corresponding to different σ intervals, and determine the σ that can be used to distinguish whether the rural domestic sewage treatment facilities are in effective operation or ineffective operation according to the effective operation rate values. threshold interval;

(4) Measure the ratio of the effluent conductivity to the influent conductivity of the rural domestic sewage treatment facility to be predicted, and record it as the σ' value;

If the σ' value is greater than the upper limit of the σ threshold interval, it is predicted that the rural domestic sewage treatment facility is in an invalid operation state; if the σ' value is less than the lower limit of the σ threshold value interval, the rural domestic sewage treatment facility is predicted to be in an effective operation state. Within the σ threshold range, the operation of the rural domestic sewage treatment facility is to be determined.

In the present invention, the rural domestic sewage refers to the sewage generated by rural residents, and specifically includes three types of sewage, namely: fecal and urine sewage, kitchen sewage and laundry sewage treated by septic tanks. The main pollutants are COD, total nitrogen, ammonia nitrogen, total phosphorus and suspended solids SS. The rural domestic sewage treatment facility refers to a treatment device for treating rural domestic sewage.

In step (1), σ value=outlet water conductivity/inlet water conductivity.

Experiments have found that for the above-mentioned rural domestic sewage treatment facilities, there is a correlation between the ratio of effluent conductivity and influent conductivity (ie, σ value) and the operational effectiveness of rural domestic sewage treatment facilities. size to judge whether the rural domestic sewage treatment facilities are in effective operation.

In step (1), "select several rural domestic sewage treatment facilities" as test samples to analyze the relationship between the σ value and the operational effectiveness of rural domestic sewage treatment facilities; in order to ensure that the statistical results are more representative, step (1) Among them, the number of selected rural domestic sewage treatment facilities is at least more than 120 to 150.

Since the conductivity value is related to the water temperature, the conductivity value at a water temperature of 20°C or 25°C is generally used as a reference for calibration in this field, and conventional conductivity meters are generally automatically calibrated. In the present invention, it is only necessary to ensure that the measured conductivity is calibrated using the same standard.

The rural domestic sewage treatment facility in the present invention is at least one of an A ² O treatment facility, a constructed wetland treatment facility, an SBR treatment facility and an aeration filter treatment facility. The above-mentioned rural domestic sewage treatment facilities are composed of two parts: the water inlet adjustment tank and the sewage treatment device, and the outlet of the sewage treatment device is provided with a water outlet well.

Further, in step (1),

The operating conditions are valid or invalid;

The method for judging the effective operation and the ineffective operation is as follows: if the removal rate of any one of the indicators of COD, ammonia nitrogen, total phosphorus and suspended solids in the rural domestic sewage by the rural domestic sewage treatment facility is ≥ the percentage threshold, and there is no COD, ammonia nitrogen, etc. If the effluent concentration of any two indicators in total nitrogen and total phosphorus is greater than the influent concentration, it is determined to be effective operation; otherwise, it is invalid operation; the percentage threshold is 20% to 70%.

The percentage threshold can be set according to the actual situation, and it is found in experiments that the setting of the percentage threshold does not affect the applicability of the method of the present invention. However, the test found that the set percentage threshold will affect the range of the σ threshold interval. If the percentage threshold increases, for example, 70%, the σ threshold interval will be expanded from 0.8 to 1.0 to 0.7 to 1.0, resulting in a large number of facilities to be predicted. It is determined that the operation of the facility is pending, reducing the predictable range.

Further, the percentage threshold is 20% to 60%.

Further, the influent conductivity is measured in the adjustment tank of the rural domestic sewage treatment facility, and the measurement time is after the lifting pump in the adjustment tank is turned on for 15 minutes;

The effluent conductivity is measured in the outlet well of the rural domestic sewage treatment facility, and is measured simultaneously with the influent conductivity;

The method of measuring the conductivity of the influent water and the effluent water is as follows: collecting water samples in the regulating tank or in the water outlet well to determine the conductivity value; or, directly using an online monitoring conductivity meter to measure the water in the regulating tank or in the water outlet well.

As preferably, in step (1), after the lift pump is turned on for 15min, simultaneously measure the conductivity of the influent water and the conductivity of the effluent water once, then each detect the conductivity of the influent water and the effluent conductivity once every 15 minutes, and measure 3 times continuously. ～4 times, take the average value as the influent conductivity value and the effluent conductivity value in the detection stage respectively;

The concentrations of COD, ammonia nitrogen, total nitrogen, total phosphorus and suspended solids in the regulating pools and effluent wells of rural domestic sewage treatment facilities were measured at the same time as the influent conductivity and effluent conductivity were detected each time, and the concentration of each pollutant was calculated. The average value is used as the concentration of COD, ammonia nitrogen, total nitrogen, total phosphorus and suspended solids in the detection stage to judge the operation of rural domestic sewage treatment facilities.

Further, in step (2), the σ value is divided into 9 to 12 σ intervals, and the difference between the endpoints of each σ interval is 0.1.

Further, in step (2), the relational graph is a bar graph, wherein the number of facilities in valid operation is marked on the positive coordinate axis, and the number of facilities in invalid operation is marked on the negative coordinate axis.

Further, in step (3), the upper limit value and the lower limit value of the σ threshold interval are both the endpoint values of the σ interval;

The upper limit value satisfies the following conditions:

(A) The effective operation rate of all facilities whose σ value is greater than the upper limit value I≤20～25%;

Effective operation rate I = (the number of all effectively operating facilities with a σ value greater than the upper limit / the total number of facilities with a σ value greater than the upper limit) × 100%;

(B) take the minimum value of all upper limit values that meet condition (A);

The lower limit value satisfies the following conditions:

(a) The effective operation rate II of all facilities whose σ value is less than the lower limit value is ≥ 90 to 95%;

Effective operation rate II = (the number of all effectively operating facilities whose σ value is less than the lower limit / the total number of facilities whose σ value is less than the lower limit) × 100%;

(b) Take the maximum value among all the lower limit values satisfying the condition (a).

Further, the rural domestic sewage treatment facility to be predicted has the same sewage source as the rural domestic sewage treatment facility described in step (1).

Compared with the prior art, the present invention has the following beneficial effects:

(1) The prediction method of the present invention reasonably utilizes the detection index of the conductivity of the inlet and outlet water to predict the operation effectiveness of the rural domestic sewage treatment facility, which is not only accurate, but also fast and cheap.

(2) Compared with the conventional standard detection method (which takes about 30 minutes at the fastest time), the prediction method of the present invention can realize rapid prediction, which is beneficial to the subsequent facility regulation.

Description of drawings

FIG. 1 is a bar chart of the σ interval obtained by the prediction method of Example 1 and the operation of rural domestic sewage treatment facilities.

FIG. 2 is a bar graph of the σ interval obtained by the prediction method of Example 2 and the operation of rural domestic sewage treatment facilities.

FIG. 3 is a bar chart of the σ interval obtained by the prediction method of Example 3 and the operation of rural domestic sewage treatment facilities.

FIG. 4 is a bar chart of the σ interval obtained by the prediction method of Example 4 and the operation of rural domestic sewage treatment facilities.

FIG. 5 is a bar graph of the σ interval obtained by the prediction method of Example 5 and the operation of the rural domestic sewage A ² O treatment facility.

FIG. 6 is a bar graph of the σ interval obtained by the prediction method of Example 6 and the operation of the rural domestic sewage constructed wetland treatment facility.

Detailed ways

The present invention will be further described below in conjunction with specific embodiments, the following are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto.

Example 1

A method for predicting the operation effectiveness of rural domestic sewage treatment facilities, the specific steps are as follows:

(1) Select 164 rural domestic sewage treatment facilities in the Yangtze River Delta region. The rural domestic sewage treatment facilities include mainstream A ² O treatment facilities, constructed wetland treatment facilities, SBR treatment facilities and aeration filter facilities, with a treatment scale of 5-160t /d varies; all facilities are composed of two parts: the adjustment tank and the sewage treatment device. The water inlet adjustment tank is equipped with a lift pump, and the outlet of the sewage treatment device is equipped with an outlet well. The rural domestic sewage treated by the above facilities consists of fecal and urine sewage, kitchen sewage and laundry sewage treated by septic tanks. The main pollutants are COD, total nitrogen, ammonia nitrogen, total phosphorus and suspended solids.

Determination of the influent conductivity and effluent conductivity of rural domestic sewage treatment facilities, the specific measurement methods are:

After the lift pump was turned on for 15 minutes, the water samples in the adjustment tank and the outlet well were collected at the same time, and the first inlet water conductivity value and the first outlet water conductivity value were measured; 15 minutes later, the second inlet water conductivity value was measured. After 30 minutes, the third influent conductivity value and the third effluent conductivity value were obtained; the three influent conductivity values and the effluent conductivity values were averaged respectively, The average influent conductivity value and the average effluent conductivity value were obtained; at the same time, the concentrations of COD, ammonia nitrogen, total nitrogen, total phosphorus and suspended solids in the regulating pools and outlet wells of rural domestic sewage treatment facilities were measured three times, and the above-mentioned concentrations were calculated. The average value of the pollutant concentration is used as the concentration of COD, ammonia nitrogen, total nitrogen, total phosphorus and suspended solids in the detection stage, which is used to judge the operation of the rural domestic sewage treatment facility, and record the measurement of the conductivity corresponding to the rural domestic sewage treatment facility. Operation status, that is, whether it is effective operation or invalid operation;

If the removal rate of any one of the indicators of COD, ammonia nitrogen, total phosphorus and suspended solids in rural domestic sewage by rural domestic sewage treatment facilities is ≥20%, and there is no occurrence of any two indicators of COD, ammonia nitrogen, total nitrogen and total phosphorus When the effluent concentration is greater than the influent concentration, it is valid operation; otherwise, it is invalid operation.

Calculate the ratio of water conductivity to influent conductivity, denoted as σ value; σ value = outlet water conductivity/inlet water conductivity.

(2) According to the σ value obtained in step (1), it is divided into 9 σ intervals, and the end point difference of each σ interval is 0.1, which are: below 0.5, 0.5～0.6, 0.6～0.7, 0.7～0.8, 0.8～ 0.9, 0.9 to 1.0, 1.0 to 1.1, 1.1 to 1.2 and above 1.2. Taking the σ interval as the abscissa, the number of effectively operating facilities in the σ interval as the positive ordinate, and the number of ineffectively operating facilities in the σ interval as the negative ordinate, establish the σ interval and rural domestic sewage treatment facilities. Histogram of operational effectiveness;

(3) According to the histogram obtained in step (2), count the effective operation rate of each σ interval (as shown in Figure 1), and determine the σ threshold interval as 0.8 to 1.0;

The upper limit value and the lower limit value of the σ threshold interval are both the endpoint values of the σ interval;

The upper limit value satisfies the following conditions:

(A) The effective operation rate I≤20% of all facilities whose σ value is greater than the upper limit value;

Effective operation rate I = (the number of all effectively operating facilities with a σ value greater than the upper limit / the total number of facilities with a σ value greater than the upper limit) × 100%;

(B) take the minimum value of all upper limit values that meet condition (A);

The lower limit value satisfies the following conditions:

(a) The effective operation rate II of all facilities whose σ value is less than the lower limit value is ≥ 92.5%;

Effective operation rate II = (the number of all effectively operating facilities whose σ value is less than the lower limit / the total number of facilities whose σ value is less than the lower limit) × 100%;

(b) take the maximum value of all lower limit values that meet condition (a);

(4) measure the ratio of the effluent conductivity and inflow conductivity of the rural domestic sewage treatment facility to be predicted with the same rural domestic sewage source as the rural domestic sewage treatment facility selected in step (1), denoted as σ' value;

If the σ' value is greater than the upper limit of the σ threshold interval, the rural domestic sewage treatment facility is predicted to be in an invalid operation state; if the σ' value is less than the lower limit of the σ threshold interval, the rural domestic sewage treatment facility is predicted to be in an effective operation state. Within the threshold range, the operational effectiveness of the rural domestic sewage treatment facility is to be determined.

According to the above method, a total of 20 rural domestic sewage treatment facilities to be predicted were tested, including A ² O treatment facilities, constructed wetland treatment facilities, SBR treatment facilities and aeration filter treatment facilities. The sewage treated by the above facilities and the sewage treated by the rural domestic sewage treatment facility selected in step (1) are both rural domestic sewage, and no other types of sewage, such as industrial wastewater or livestock and poultry breeding wastewater, are mixed.

Among them, the σ' value of 8 facilities is less than 0.8, all of them are judged to be in effective operation, and after the water quality test, they are all confirmed to be effectively operating facilities, with an accuracy rate of 100%; the σ' value of 5 facilities is greater than 1.0, all judged as Invalid operation, and after the water quality test and inspection, it was confirmed that 4 facilities were ineffective operation, and 1 facility was effective operation, with an accuracy rate of 80%; the σ' value of 7 facilities was between 0.8 and 1.0, and the effectiveness of facility operation is to be determined .

Example 2

In this example, except that the judgment of effective operation is changed to "the removal rate of any one of the indicators of COD, ammonia nitrogen, total phosphorus and SS in rural domestic sewage by rural domestic sewage treatment facilities is ≥ 30% and there is no COD, ammonia nitrogen, and total nitrogen." , the effluent concentration of any two indicators in the total phosphorus is greater than the influent concentration”, the rest adopts the same sample and prediction method as in Example 1.

The histogram is shown in Figure 2. According to the method of this embodiment, a total of 20 rural domestic sewage treatment facilities to be predicted are detected, and the treatment facilities include A ² O treatment facilities, constructed wetland treatment facilities, SBR treatment facilities, and aeration filter treatment facilities. facility.

Among them, the σ' value of 8 facilities is less than 0.8, all of them are judged to be in effective operation, and after the water quality test, they are all confirmed to be effectively operating facilities, with an accuracy rate of 100%; the σ' value of 5 facilities is greater than 1.0, all judged as Invalid operation, and after the water quality test and inspection, it was confirmed that 4 facilities were ineffective operation, and 1 facility was effective operation, with an accuracy rate of 80%; the σ' value of 7 facilities was between 0.8 and 1.0, and the effectiveness of facility operation is to be determined .

Example 3

In this example, the judgment of effective operation is changed to "the removal rate of any one of the indicators of COD, ammonia nitrogen, total phosphorus and SS in rural domestic sewage by rural domestic sewage treatment facilities is ≥ 60%, and there is no COD, ammonia nitrogen, and total nitrogen." , the effluent concentration of any two indicators in the total phosphorus is greater than the influent concentration”, the rest adopts the same sample and prediction method as in Example 1.

The histogram is shown in Figure 3. According to the method of this embodiment, a total of 20 rural domestic sewage treatment facilities to be predicted are detected, and the treatment facilities include A ² O treatment facilities, constructed wetland treatment facilities, SBR treatment facilities, and aeration filter treatment facilities. facility.

Among them, the σ' value of 8 facilities is less than 0.8, all of them are judged to be in effective operation, and after water quality testing, it is confirmed that 7 facilities are in effective operation, and 1 facility is ineffective operation, with an accuracy rate of 80%; σ' of 5 facilities If the value is greater than 1.0, all are judged as invalid operation, and all facilities are confirmed to be invalid operation after water quality test and inspection, with an accuracy rate of 100%; the σ' value of 7 facilities is between 0.8 and 1.0, and the effectiveness of facility operation is to be determined.

Example 4

In this example, except that the judgment of effective operation is changed to "the removal rate of any one of the indicators of COD, ammonia nitrogen, total phosphorus and SS in rural domestic sewage by rural domestic sewage treatment facilities is ≥ 70% and there is no COD, ammonia nitrogen, and total nitrogen." The effluent concentration of any two indicators in the total phosphorus is greater than the influent concentration”, the other samples and prediction methods are exactly the same as in Example 1, and the threshold interval is determined to be 0.7 to 1.0.

The histogram is shown in Figure 4. According to the method of this embodiment, a total of 20 rural domestic sewage treatment facilities to be predicted are detected, and the treatment facilities include A ² O treatment facilities, constructed wetland treatment facilities, SBR treatment facilities, and aeration filter treatment facilities. facility.

Among them, the σ' value of 6 facilities was less than 0.7, all of them were judged to be in effective operation, and after water quality testing, 5 facilities were confirmed to be in effective operation, and 1 facility was ineffective, with an accuracy rate of 83%; σ' of 5 facilities If the value is greater than 1.0, all of them are judged as invalid operation, and all facilities are confirmed to be invalid operation after water quality test and inspection, with an accuracy rate of 100%; the σ' value of 7 facilities is between 0.7 and 1.0, and the effectiveness of facility operation is to be determined.

Example 5

In this example, 100 rural domestic sewage treatment facilities with A ² O process in the Yangtze River Delta region were selected, and two rounds of sampling tests were performed to collect a total of 200 sets of data.

The histogram is shown in FIG. 5 , according to the method of this embodiment, a total of 20 A ² O rural domestic sewage treatment facilities to be predicted are detected.

Among them, the σ' value of 7 facilities is less than 0.8, all of them are judged to be in effective operation, and after water quality testing, it is confirmed that 6 facilities are in effective operation, and 1 facility is ineffective, with an accuracy rate of 86%; σ of 4 facilities 'value is greater than 1.0, all are judged as invalid operation, and after the water quality test, it is confirmed that 3 facilities are invalid and 1 facility is valid, with an accuracy rate of 75%; the σ' values of 9 facilities are between 0.8 and 1.0 In between, the operational effectiveness of the facility is to be determined.

Example 6

In this example, 50 rural domestic sewage treatment facilities with constructed wetland technology were selected in the Yangtze River Delta region, and three rounds of sampling tests were carried out to collect a total of 150 sets of data.

The histogram is shown in FIG. 6 . According to the method of this embodiment, a total of 20 constructed wetland rural domestic sewage treatment facilities to be predicted are detected.

Among them, the σ' value of 10 facilities is less than 0.8, all of them are judged to be in effective operation, and after the water quality test, they are all confirmed to be effective operation facilities, with an accuracy rate of 100%; the σ' value of 3 facilities is greater than 1.0, all judged as Invalid operation, and all the facilities were confirmed to be invalid operation after water quality test and inspection, and the accuracy rate was 100%;

Claims (7)

1. A method for predicting the operation effectiveness of rural domestic sewage treatment facilities is characterized by comprising the following steps:

(1) selecting a plurality of rural domestic sewage treatment facilities, simultaneously measuring the water inlet conductivity and the water outlet conductivity of the rural domestic sewage treatment facilities, recording the operation conditions of the corresponding rural domestic sewage treatment facilities, calculating the ratio of the water outlet conductivity to the water inlet conductivity, and recording the ratio as a sigma value;

the operation condition is effective operation or ineffective operation;

the method for distinguishing the effective operation from the ineffective operation comprises the following steps: if the removal rate of any index of COD, ammonia nitrogen, total phosphorus and suspended matters in the rural domestic sewage by the rural domestic sewage treatment facility is larger than or equal to the percentage threshold value, and the condition that the effluent concentration of any two indexes of COD, ammonia nitrogen, total nitrogen and total phosphorus is larger than the influent concentration does not occur, the rural domestic sewage treatment facility is judged to be in effective operation; otherwise, the operation is invalid; the percentage threshold is 20% -70%;

(2) dividing the sigma value into a plurality of sigma intervals according to the sigma value obtained in the step (1), taking the sigma intervals as abscissa, and taking the corresponding number of effectively operated facilities and the number of inefficiently operated facilities in the sigma intervals as double ordinate, and establishing a relation graph of the sigma intervals and the operation condition of rural domestic sewage treatment facilities;

(3) according to the relation graph obtained in the step (2), counting the corresponding effective operation rates in different sigma interval ranges, and according to the effective operation rate values, determining a sigma threshold interval which can be used for distinguishing whether the rural domestic sewage treatment facility is in effective operation or invalid operation;

the upper limit value and the lower limit value of the sigma threshold interval are both end point values of the sigma interval;

the upper limit value satisfies the following condition:

(A) the effective operation rate I of all facilities with sigma values larger than the upper limit value is less than or equal to 20-25%;

the effective operation rate I is (the number of all effective operating facilities whose σ value is greater than the upper limit value/the total number of facilities whose σ value is greater than the upper limit value) × 100%;

(B) taking the minimum value of all the upper limit values which meet the condition (A);

the lower limit value satisfies the following condition:

(a) the effective operation rate II of all facilities with the sigma value smaller than the lower limit value is more than or equal to 90-95 percent;

the effective operation rate II is (the number of all effective operating facilities whose σ value is smaller than the lower limit value/the total number of facilities whose σ value is smaller than the lower limit value) × 100%;

(b) taking the maximum value of all the lower limit values which meet the condition (a);

(4) measuring the ratio of the effluent conductivity to the influent conductivity of the rural domestic sewage treatment facility to be predicted, and recording the ratio as a sigma' value;

if the sigma ' value is larger than the upper limit of the sigma threshold interval, predicting that the rural domestic sewage treatment facility to be predicted is in an invalid operation state, if the sigma ' value is smaller than the lower limit of the sigma threshold interval, predicting that the rural domestic sewage treatment facility to be predicted is in an effective operation state, and if the sigma ' value is in the sigma threshold interval, determining that the operation condition of the rural domestic sewage treatment facility to be predicted is undetermined.

2. The method for predicting the operation effectiveness of rural domestic sewage treatment facilities according to claim 1, wherein in the step (1), the number of the selected rural domestic sewage treatment facilities is at least more than 120-150.

3. The method for predicting the operation effectiveness of rural domestic sewage treatment facility according to claim 1, wherein in step (1), the rural domestic sewage treatment facility is A²At least one of an O treatment facility, an artificial wetland treatment facility, an SBR treatment facility and an aeration filter treatment facility.

4. The method for predicting the operation effectiveness of rural domestic sewage treatment facilities according to claim 1, wherein in the step (1),

the inlet water conductivity is measured in a regulating reservoir of a rural domestic sewage treatment facility, and the measuring time is 15min after a lifting pump in the regulating reservoir is started;

the outlet water conductivity is measured in an outlet water well of a rural domestic sewage treatment facility and is simultaneously measured with the inlet water conductivity;

the measuring method of the inlet water conductivity and the outlet water conductivity comprises the following steps: collecting a water sample in an adjusting tank or a water outlet well to determine a conductivity value; or, the water in the regulating reservoir or the water outlet well is directly measured by adopting an online monitoring conductivity meter.

5. The method for predicting the effectiveness of the rural domestic sewage treatment facility according to claim 4,

after the lift pump is started for 15min, simultaneously measuring the water inlet conductivity and the water outlet conductivity once, then measuring the water inlet conductivity and the water outlet conductivity once every 15min, continuously measuring for 3-4 times, and respectively taking the average value as the water inlet conductivity value and the water outlet conductivity value in the detection stage;

when the inlet water conductivity and the outlet water conductivity are detected each time, the concentrations of COD, ammonia nitrogen, total phosphorus and suspended matters in a regulating tank and an outlet well of the rural domestic sewage treatment facility are respectively measured, and the average value of the concentrations of pollutants is calculated to be used as the concentrations of the COD, the ammonia nitrogen, the total phosphorus and the suspended matters in the detection stage, so that the operation condition of the rural domestic sewage treatment facility is judged.

6. The method for predicting the operation effectiveness of rural domestic sewage treatment facilities according to claim 1, wherein in the step (2), the σ value is divided into 9-12 σ intervals, and the endpoint difference value of each σ interval is 0.1.

7. The method for predicting the operation effectiveness of rural domestic sewage treatment facilities according to claim 1, wherein in the step (2), the relational graph is a bar graph, wherein the number of facilities which are effectively operated is marked on a positive coordinate axis, and the number of facilities which are inefficiently operated is marked on a negative coordinate axis.

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