CN110885132A - Identification method for preferential supervision set of rural domestic sewage treatment facility - Google Patents

Identification method for preferential supervision set of rural domestic sewage treatment facility Download PDF

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CN110885132A
CN110885132A CN201911151979.1A CN201911151979A CN110885132A CN 110885132 A CN110885132 A CN 110885132A CN 201911151979 A CN201911151979 A CN 201911151979A CN 110885132 A CN110885132 A CN 110885132A
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supervision
unit
area
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sewage treatment
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CN110885132B (en
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宋小燕
刘锐
陈吕军
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Yangtze Delta Region Institute of Tsinghua University Zhejiang
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Yangtze Delta Region Institute of Tsinghua University Zhejiang
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/28Anaerobic digestion processes
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/02Aerobic processes
    • C02F3/12Activated sludge processes
    • C02F3/1236Particular type of activated sludge installations
    • C02F3/1263Sequencing batch reactors [SBR]
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/02Aerobic processes
    • C02F3/12Activated sludge processes
    • C02F3/1236Particular type of activated sludge installations
    • C02F3/1268Membrane bioreactor systems
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/30Aerobic and anaerobic processes
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/32Biological treatment of water, waste water, or sewage characterised by the animals or plants used, e.g. algae
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00Water conservation; Efficient water supply; Efficient water use
    • Y02A20/152Water filtration
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W10/00Technologies for wastewater treatment
    • Y02W10/10Biological treatment of water, waste water, or sewage

Abstract

The invention discloses a method for identifying a preferential supervision set of rural domestic sewage treatment facilities, which comprises the following steps: a supervision area dividing unit which is used for obtaining a priority supervision area set I according to the division of the sewage discharge area and the sensitive area; obtaining a preferential supervision area set II according to the division standard of the natural ecological red line area; forming a total preferential supervision area set; dividing the treatment facility into a plurality of supervision level units according to the treatment scale of the treatment facility, and clustering according to the production and pollution discharge weight to obtain a priority supervision level set and a general supervision level set; dividing the treatment facilities into a plurality of supervision units according to the process types of the treatment facilities; clustering according to the product and pollution discharge weight to obtain a priority supervision class set and a general supervision class set; and taking the priority supervision level set or the priority supervision class set as a priority supervision set of the rural domestic sewage treatment facility. The invention can improve the standard discharge management capability of rural domestic sewage treatment facilities in a large area, simultaneously reduce the operation and maintenance supervision cost and effectively ensure the long-term operation benefit of the facilities.

Description

Identification method for preferential supervision set of rural domestic sewage treatment facility
Technical Field
The invention relates to the technical field of sewage treatment, in particular to an identification method of a priority supervision set of rural domestic sewage treatment facilities.
Background
The rural sewage development of China lags behind, the rural sewage treatment industry has remarkable development in the last 10 years according to statistical data of Ministry of housing and construction, the treatment rate of rural domestic sewage in China is 22 percent by 2018, 50.8 thousands of treatment facilities are built, and the treatment capacity is nearly 1800 million tons/d. However, due to the lack of unified planning and policy support, light and long-term management of heavy engineering construction, light collection pipe network construction of heavy sewage treatment facility construction, and complete and light actual effect of heavy program, the rural sewage treatment facility has the problems of abnormal facility operation and insufficient pollution reduction, and is one of the important reasons for inland river water environment pollution and water eutrophication. At present, the treatment of rural domestic sewage is important for further improving the water quality of inland rivers. The rural domestic sewage treatment facilities are generally large in number, small in scale, scattered in distribution and various in technical modes, and how to carry out efficient operation and maintenance supervision on hundreds of thousands of established rural domestic sewage treatment facilities becomes a problem which needs to be solved urgently.
From the aspect of operation and maintenance, the existing operation and maintenance third-party mechanisms have different operation and maintenance levels, basically adopt a mode of cutting operation and maintenance, are labor-consuming, have high operation and maintenance cost, and show the current situation of low management capability on stable operation and standard emission of facilities. From the perspective of supervision, the current government supervision system is not sound, the operation conditions of supervision and query facilities are checked by sampling, and are not integrated to the regional level, so that the problems of insufficient systematicness, low supervision effect, high supervision cost, management confusion, unclear responsibility and unclear target exist.
Therefore, it is necessary to identify the priority supervision set of the rural domestic sewage treatment facility, and by supervising a small number of treatment facilities, the efficiency-cost ratio of operation and maintenance supervision is improved to the maximum extent, that is, the standard discharge capacity is improved and the operation and maintenance supervision cost is reduced.
Disclosure of Invention
The invention provides a method for identifying a preferential supervision set of rural domestic sewage treatment facilities, which solves the technical problems of large quantity of rural domestic sewage treatment facilities, dispersed positions and high difficulty in operation and maintenance supervision in the prior art, and can improve the operation and maintenance supervision efficiency of the rural domestic sewage treatment facilities in a large area.
The specific technical scheme is as follows:
a method for identifying a priority supervision set of rural domestic sewage treatment facilities comprises the following steps:
(1) selecting a rural area to be supervised, dividing supervision area units in the rural area, estimating single pollutant pollution production intensity and single pollutant pollution discharge intensity of each supervision area unit, determining the pollution production weight and the pollution discharge weight of each supervision area unit, performing cluster analysis by taking the pollution production weight and the pollution discharge weight as variables, and dividing each supervision area unit into a heavy pollution discharge area, a medium pollution discharge area, a general pollution discharge area and a light pollution discharge area according to the obtained cluster analysis result;
(2) estimating the single-factor water quality index and the inner-merous comprehensive index of each supervision area unit by adopting a single-factor water quality index method and an inner-merous comprehensive index method, performing clustering analysis by taking the single-factor water quality index and the inner-merous comprehensive index as variables, and dividing the supervision area units into a highly sensitive area, a moderately sensitive area, a slightly sensitive area and an insensitive area according to the obtained clustering analysis result;
(3) selecting supervision area units belonging to a highly sensitive area or a moderately sensitive area from the supervision area units which are divided into the heavy sewage discharge area, the moderate sewage discharge area and the general sewage discharge area in the step (1) according to the division result in the step (2), and obtaining a priority supervision area set I;
(4) selecting supervision area units belonging to the natural ecological red line area according to the division standard of the natural ecological red line area by taking the supervision area units except the priority supervision area set I as identification objects to obtain a priority supervision area set II;
(5) combining the priority supervision area set I and the priority supervision area set II to form a total priority supervision area set;
(6) classifying the rural domestic sewage treatment facilities in the total priority supervision area set according to the treatment scale of the rural domestic sewage treatment facilities to obtain a plurality of supervision level units, calculating the single pollutant pollution production intensity and the single pollutant pollution discharge intensity of each supervision level unit to obtain the pollution production weight and the pollution discharge weight of each supervision level unit, performing cluster analysis by taking the pollution production weight and the pollution discharge weight of each supervision level unit as variables, and obtaining two sets which are respectively a priority supervision level set and a common supervision level set according to the obtained cluster analysis result;
(7) selecting the rural domestic sewage treatment facilities in the priority supervision level set in the step (6), and classifying the rural domestic sewage treatment facilities in each priority supervision level set according to the process type of the rural domestic sewage treatment facilities to obtain a plurality of supervision type units;
counting the number of rural raw sewage treatment facilities in each supervision unit to obtain the proportion of each supervision unit in the whole priority supervision level set, and sequencing each supervision unit according to the rule of from top to bottom according to the proportion;
if the percentage value of the supervision units ranked first in the sequence is more than 75 percent and the percentage value of the supervision units ranked second is less than 15 percent, directly taking the priority supervision level set obtained in the step (6) as a finally identified rural domestic sewage treatment facility priority supervision set; otherwise, performing the step (8);
(8) calculating the single pollutant pollution production intensity and the single pollutant pollution discharge intensity of each supervision unit to obtain the pollution production weight and the pollution discharge weight of each supervision unit, performing cluster analysis by taking the pollution production weight and the pollution discharge weight of each supervision unit as variables, and obtaining two sets which are respectively a priority supervision set and a general supervision set according to the obtained cluster analysis result; and taking the priority supervision class set as a finally identified priority supervision set of the rural domestic sewage treatment facility.
The rural domestic sewage treatment facility priority supervision set is a set of rural domestic sewage treatment facilities with poor operation and maintenance efficiency and to be preferentially supervised in a certain rural area; the environmental benefit and the economic benefit of the integral operation and maintenance supervision of the rural area can be more effectively improved by supervising the rural domestic sewage treatment facilities in the set.
In the step (1), the rural area is an area where rural domestic sewage treatment is performed through rural domestic sewage treatment facilities, and can be selected according to requirements. The supervision area unit takes an administrative area as a division standard, such as villages and towns. The invention has no sequence relation between the step (1) and the step (2), and the step (2) can be carried out first and then the step (1) can be carried out, or the two steps can be carried out simultaneously.
In the step (1), estimating the pollutant pollution intensity of each supervision area unit by adopting a comprehensive source intensity estimation algorithm;
the formulas are shown in (1) to (3):
Wc=Q×ρc×10-3(1)
Fc=365×N×Wc×10-6(2)
Gc=Fc/S (3)
in the formula, WcIs pollutant (NH) of rural domestic sewage treatment facility3-fouling coefficients of N, TP, TN, COD), in units: g.d-1Human being-1;FcThe unit is the annual pollutant yield of the pollutants of rural domestic sewage treatment facilities: t.a-1; GcThe annual sewage production intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the water consumption per capita of rural residents, unit: l.d-1Human being-1;ρcThe unit concentration of the pollutant inflow water of each supervision area unit facility is as follows: mg.L-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
In the step (1), a comprehensive source intensity estimation algorithm is adopted to estimate pollutant discharge intensity of each supervision area unit;
the formulas are shown in (4) to (6):
Wp=Q×ρp(1-Qn/Q)×10-3(4)
Fp=365×N×Wp×10-6(5)
Gp=Fp/S (6)
in the formula, WpIs pollutant (NH) of rural domestic sewage treatment facility3-N, TP, TN, COD) pollution discharge coefficient in units: g.d-1Human being-1;FPThe unit of annual pollutant discharge of rural domestic sewage treatment facilities is as follows: t.a-1; GPThe unit of the annual pollution discharge intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the water consumption per capita of rural residents, unit: l.d-1Human being-1;ρpThe pollutant emission concentration of each unit facility in each supervision area is as follows: mg.L-1; QnThe unit is the sewage utilization amount: l.d-1Human being-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
Further, in the steps (1), (6) and (7), the pollutant production weight and the pollutant discharge weight are calculated by using a factor analysis method and a weighted index method.
The factor analysis method and the weighted index method, as well as the single-factor water quality index method and the internal Mel ring comprehensive index method are all the existing methods.
Further, in the step (4), the natural ecological red line area is divided according to 'regional ecological protection red line demarcation instruction file'.
Further, in the step (6), the supervisory-level unit is a high-processing-scale supervisory-level unit, a medium-high processing-scale supervisory-level unit, a conventional processing-scale supervisory-level unit and a general processing-scale supervisory-level unit;
the daily sewage treatment capacity of the high treatment scale supervision stage unit is more than or equal to 50 tons, the daily sewage treatment capacity of the medium and high treatment scale supervision stage unit is less than 50 tons and more than or equal to 30 tons, the daily sewage treatment capacity of the conventional treatment scale supervision stage unit is less than 30 tons and more than or equal to 20 tons, and the daily sewage treatment capacity of the general treatment scale supervision stage unit is less than 20 tons and more than or equal to 5 tons.
Further, in the step (7), the monitoring units are at least two of a biological treatment process unit, an ecological treatment process unit, a biological and ecological combined treatment process unit, a biological and biological combined treatment process unit and an ecological and ecological combined treatment process unit;
the biological treatment process comprises an anaerobic process, a biological contact oxidation process, an AO integrated process, A2O process, purification tank process, biological filter process, SBR process or MBR process;
the ecological treatment process is an artificial wetland process, a stabilization pond process or a land treatment process;
the biological and ecological combined treatment process is an anaerobic and artificial wetland combined treatment process, an AO integrated and artificial wetland combined treatment process, A2O and artificial wetland combination treatment process, or biological filter and artificial wetland combination treatment process;
the biological and ecological combined treatment process type unit is a combined treatment process of an artificial wetland and a stabilization pond or a combined treatment process of the artificial wetland and land;
the biological and biological treatment process is an anaerobic contact oxidation and purification tank combined treatment process or an anaerobic contact oxidation and biological filter combined treatment process.
Compared with the prior art, the invention has the following beneficial effects: :
according to the invention, the rural domestic sewage treatment facilities are classified in a classified manner in a subarea manner in the rural areas, and the rural domestic sewage treatment facility set which needs to be preferentially supervised in the rural areas is selected, so that the technical problems of large number of rural domestic sewage treatment facilities, dispersion in position and high difficulty in operation and maintenance supervision in the prior art are solved, the standard discharge management capability of the rural domestic sewage treatment facilities in the large-area areas can be improved, the operation and maintenance supervision cost is reduced, and the long-term operation benefit of the facilities is effectively ensured.
Drawings
FIG. 1 is a flow chart of a rural domestic sewage treatment facility priority supervision set identification method according to embodiment 1.
Fig. 2 is a result of the pollution discharge weight of each rural domestic sewage treatment facility in the priority supervision set identified and obtained in application example 1.
Detailed Description
The present invention will be further described with reference to the following specific examples, which are only illustrative of the present invention, but the scope of the present invention is not limited thereto.
Example 1
A method for identifying a priority supervision set of rural domestic sewage treatment facilities comprises the following steps:
(1) selecting a rural area to be supervised, dividing supervision area units in the rural area by taking a town as a division standard, estimating pollutant pollution production intensity and pollution discharge intensity of each supervision area unit, determining the pollution production weight and the pollution discharge weight of each supervision area unit by using a factor analysis method and a weighted index method, performing cluster analysis by taking the pollution production weight and the pollution discharge weight as variables, and dividing each supervision area unit into a heavy pollution discharge area, a medium pollution discharge area, a general pollution discharge area and a light pollution discharge area according to the obtained cluster analysis result;
in the step (1), estimating the pollutant pollution intensity of each supervision area unit by adopting a comprehensive source intensity estimation algorithm;
the formulas are shown in (1) to (3):
Wc=Q×ρc×10-3(1)
Fc=365×N×Wc×10-6(2)
Gc=Fc/S (3)
in the formula, WcIs pollutant (NH) of rural domestic sewage treatment facility3-fouling coefficients of N, TP, TN, COD), in units: g.d-1Human being-1;FcThe unit is the annual pollutant yield of the pollutants of rural domestic sewage treatment facilities: t.a-1; GcThe annual sewage production intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the water consumption per capita of rural residents, unit: l.d-1Human being-1;ρcFor pollutants entering each unit facility of supervision areaWater concentration, unit: mg.L-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
In the step (1), a comprehensive source intensity estimation algorithm is adopted to estimate pollutant discharge intensity of each supervision area unit;
the formulas are shown in (4) to (6):
Wp=Q×ρp(1-Qn/Q)×10-3(4)
Fp=365×N×Wp×10-6(5)
Gp=Fp/S (6)
in the formula, WpIs pollutant (NH) of rural domestic sewage treatment facility3-N, TP, TN, COD) pollution discharge coefficient in units: g.d-1Human being-1;FPThe unit of annual pollutant discharge of rural domestic sewage treatment facilities is as follows: t.a-1; GPThe unit of the annual pollution discharge intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the water consumption per capita of rural residents, unit: l.d-1Human being-1;ρpThe pollutant emission concentration of each unit facility in each supervision area is as follows: mg.L-1; QnThe unit is the sewage utilization amount: l.d-1Human being-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
(2) Estimating the single-factor water quality index and the inner-merous comprehensive index of each supervision area unit by adopting a single-factor water quality index method and an inner-merous comprehensive index method, performing clustering analysis by taking the single-factor water quality index and the inner-merous comprehensive index as variables, and dividing the supervision area units into a highly sensitive area, a moderately sensitive area, a slightly sensitive area and an insensitive area according to the obtained clustering analysis result;
(3) selecting supervision area units belonging to a highly sensitive area or a moderately sensitive area from the supervision area units which are divided into the heavy sewage discharge area, the moderate sewage discharge area and the general sewage discharge area in the step (1) according to the division result in the step (2), and obtaining a priority supervision area set I;
(4) selecting supervision area units belonging to the natural ecological red line area according to the division standard of the natural ecological red line area by taking the supervision area units except the priority supervision area set I as identification objects to obtain a priority supervision area set II; the natural ecological red line area is divided according to 'regional ecological protection red line dividing specification document';
(5) combining the priority supervision area set I and the priority supervision area set II to form a total priority supervision area set;
(6) classifying the rural domestic sewage treatment facilities in the total priority supervision area set according to the treatment scale of the rural domestic sewage treatment facilities to obtain a plurality of supervision level units, calculating the single pollutant sewage production intensity and the sewage discharge intensity of each supervision level unit by using a factor analysis method and a weighted index method to obtain the sewage production weight and the sewage discharge weight of each supervision level unit, performing cluster analysis by using the sewage production weight and the sewage discharge weight of each supervision level unit as variables, and obtaining two sets which are respectively a priority supervision level set and a general supervision level set according to the obtained cluster analysis result;
the supervision-level units are a high-processing-scale supervision-level unit, a medium-high processing-scale supervision-level unit, a conventional processing-scale supervision-level unit and a general processing-scale supervision-level unit;
the daily sewage treatment capacity of the high treatment scale supervision stage unit is more than or equal to 50 tons, the daily sewage treatment capacity of the medium and high treatment scale supervision stage unit is less than 50 tons and more than or equal to 30 tons, the daily sewage treatment capacity of the conventional treatment scale supervision stage unit is less than 30 tons and more than or equal to 20 tons, and the daily sewage treatment capacity of the general treatment scale supervision stage unit is less than 20 tons and more than or equal to 5 tons.
(7) Selecting the rural domestic sewage treatment facilities in the priority supervision level set in the step (6), and classifying the rural domestic sewage treatment facilities in each priority supervision level set according to the process type of the rural domestic sewage treatment facilities to obtain a plurality of supervision type units;
the monitoring unit is at least one of a biological treatment process unit, an ecological treatment process unit, a biological and ecological combined treatment process unit, a biological and biological combined treatment process unit and an ecological and ecological combined treatment process unit;
the biological treatment process comprises an anaerobic process, a biological contact oxidation process, an AO integrated process, A2O process, purification tank process, biological filter process, SBR process or MBR process;
the ecological treatment process is an artificial wetland process, a stabilization pond process or a land treatment process;
the biological and ecological combined treatment process is an anaerobic and artificial wetland combined treatment process, an AO integrated and artificial wetland combined treatment process, A2O and artificial wetland combination treatment process, or biological filter and artificial wetland combination treatment process;
the biological and ecological combined treatment process type unit is a combined treatment process of an artificial wetland and a stabilization pond or a combined treatment process of the artificial wetland and land;
the biological and biological treatment process is an anaerobic contact oxidation and purification tank combined treatment process or an anaerobic contact oxidation and biological filter combined treatment process;
counting the number of rural raw sewage treatment facilities in each supervision unit to obtain the proportion of each supervision unit in the whole priority supervision level set, and sequencing each supervision unit according to the rule of from top to bottom according to the proportion;
if the percentage value of the supervision units ranked first in the sequence is more than 75 percent and the percentage value of the supervision units ranked second is less than 15 percent, directly taking the priority supervision level set obtained in the step (6) as a finally identified rural domestic sewage treatment facility priority supervision set; otherwise, performing the step (8);
(8) calculating the single pollutant pollution production intensity and the single pollutant pollution discharge intensity of each supervision unit by using a factor analysis method and a weighted index method to obtain the pollution production weight and the pollution discharge weight of each supervision unit, performing cluster analysis by using the pollution production weight and the pollution discharge weight of each supervision unit as variables, and obtaining two sets which are respectively a priority supervision set and a general supervision set according to the obtained cluster analysis result; and taking the priority supervision class set as a priority supervision set of the rural domestic sewage treatment facility obtained by final identification.
Application example 1
(1) Taking a certain county-level city in Zhejiang province as an example, 16 rural towns (streets) are involved in the region, after field investigation, the situation that 650 rural sewage treatment facilities are shared by the 16 towns (streets) is found, the treatment scale is 5-160t/d, the treatment process is mainly AAO and accounts for more than 90%, so that the application example only carries out partition classification identification on the rural sewage treatment facilities, and 16 partitioned supervision region units are adopted, namely the 16 towns (streets).
(2) Estimating the pollutant pollution production intensity of each supervision area unit by adopting a comprehensive source intensity estimation algorithm;
the formulas are shown in (1) to (3):
Wc=Q×ρc×10-3(1)
Fc=365×N×Wc×10-6(2)
Gc=Fc/S (3)
in the formula, WcIs pollutant (NH) of rural domestic sewage treatment facility3-fouling coefficients of N, TP, TN, COD), in units: g.d-1Human being-1;FcThe unit is the annual pollutant yield of the pollutants of rural domestic sewage treatment facilities: t.a-1; GcThe annual sewage production intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the water consumption per capita of rural residents, unit: l.d-1Human being-1;ρcThe unit concentration of the pollutant inflow water of each supervision area unit facility is as follows: mg.L-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
Estimating the pollution discharge intensity of each supervision area unit by adopting a comprehensive source intensity estimation algorithm;
the formulas are shown in (4) to (6):
Wp=Q×ρp(1-Qn/Q)×10-3(4)
Fp=365×N×Wp×10-6(5)
Gp=Fp/S (6)
in the formula, WpIs pollutant (NH) of rural domestic sewage treatment facility3-N, TP, TN, COD) pollution discharge coefficient in units: g.d-1Human being-1;FPThe unit of annual pollutant discharge of rural domestic sewage treatment facilities is as follows: t.a-1; GPThe unit of the annual pollution discharge intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the water consumption per capita of rural residents, unit: l.d-1Human being-1;ρpThe pollutant emission concentration of each unit facility in each supervision area is as follows: mg.L-1; QnThe unit is the sewage utilization amount: l.d-1Human being-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
In the above formula: rho is obtained by actual measurement of water quality, and according to the principles of spatial continuity, seasonal consistency and scale comprehensiveness, nearly 30% of treatment facilities are randomly sampled and inspected to obtain 181 groups of inlet and outlet water, and NH is selected3N, TP, COD and TN are water quality evaluation parameters, the concentration of inlet and outlet water is tested according to a national standard method, and NH of facilities investigated by units in each supervision area is taken3The average value of the concentration of N, TP, COD and TN is the sewage inlet concentration rho of rural domestic sewage treatment facilities of each supervision area unitcAnd discharge concentration ρp;Q、QnReferring to the actual situation of Zhejiang province; n refers to a rural domestic sewage treatment facility basic information base provided by Zhejiang province houses and urban and rural construction halls; s refers to the county-level city statistical yearbook, national economic and social development statistical bulletin;
(3) according to the pollutant pollution production intensity and the pollutant discharge intensity of 16 supervision area units, determining the pollutant production weight and the pollutant discharge weight of each supervision area unit by using a factor analysis method and a weighted index method, performing cluster analysis by using the pollutant production weight and the pollutant discharge weight as variables, and dividing the 16 supervision area units into a heavy pollutant discharge area (2 towns (streets)), a medium pollutant discharge area (4 towns (streets)), a general pollutant discharge area (5 towns (streets)) and a light pollutant discharge area (5 towns (streets)) according to the obtained cluster analysis result;
(4) meanwhile, a single-factor water quality index method and an internal Merlot comprehensive index method are adopted to estimate single-factor water quality indexes and internal Merlot comprehensive indexes of 16 supervision area units, then the single-factor water quality indexes and the internal Merlot comprehensive indexes are used as variables to perform cluster analysis, and according to the obtained cluster analysis result, the 16 supervision area units are divided into a highly sensitive area (4 towns (streets)), a moderately sensitive area (7 towns (streets)), a slightly sensitive area (2 towns (streets)) and an insensitive area (3 towns (streets));
(5) selecting supervision area units belonging to a highly sensitive area or a moderately sensitive area from the supervision area units divided into the heavy sewage discharge area, the moderate sewage discharge area and the general sewage discharge area in the step (3) according to the division result in the step (4), and acquiring a priority control area set I (5 towns (streets));
(6) selecting supervision area units belonging to the natural ecological red line area according to a dividing standard of the natural ecological red line area (an ecological protection red line dividing specification file of the county-level city) by taking supervision area units except the priority supervision area set I as identification objects, and obtaining a priority control area set II (3 towns (streets));
(7) combining the priority supervision area set I and the priority supervision area set II to form a total priority supervision area set (8 towns (streets)), wherein 254 rural domestic sewage treatment facilities in the priority supervision area set account for 39.4 percent of the total number of the treatment facilities, and the pollution discharge weight accounts for 74.5 percent;
(8) classifying the rural domestic sewage treatment facilities in the total priority supervision area set according to the treatment scale of the rural domestic sewage treatment facilities, dividing the rural domestic sewage treatment facilities into a high-treatment-scale supervision level unit (T is more than or equal to 50), a medium-high-treatment-scale supervision level unit (T is more than or equal to 30 and less than 50), a conventional-treatment-scale supervision level unit (T is more than or equal to 20) or a general-treatment-scale supervision level unit (T is more than or equal to 5 and less than 20), calculating the single pollutant production intensity and the pollutant discharge intensity of each supervision level unit to obtain the pollution production weight and the pollutant discharge weight of each supervision level unit, performing cluster analysis by taking the pollution production weight and the pollutant discharge weight of each supervision level unit as variables, and obtaining two sets which are respectively a priority supervision level set and a general supervision level set according to the obtained cluster analysis result; the rural domestic sewage treatment facilities of the priority supervisory level set comprise 131 facilities, the number of the facilities accounts for 20.2 percent of the total number of the facilities, and the weight of sewage discharge accounts for 62.4 percent;
(9) and (4) selecting the 131 rural domestic sewage treatment facilities in the step (8), carrying out facility supervision and analysis, and statistically analyzing the accumulated pollution discharge weight and the accumulated facility number of the rural domestic sewage treatment facilities as shown in the figure. It was found that when 43 of the 131 facilities were supervised, the emission weight of the supervisable facility was 75.1%, and the supervision priorities of the 43 facilities were zone 1 size 1, zone 1 size 2, zone 2 size 2, zone 3 size 1, zone 2 size 3, zone 3 size 2, zone 4 size 1, zone 5 size 2.
(10) The third party water quality monitoring data (according to the water quality monitoring frequency requirement, monitoring data 1 time per month) of 3 months before and after the above 43 facilities are taken to carry out standard emission statistical analysis, and the following results are found: the average standard reaching rate is increased from 27.8 percent (control) to 77.8 percent.
Comparison: sampling evaluation analysis is carried out on the standard reaching emission conditions of 650 treatment facilities in the county-level city, a certain preferential supervision area (village and town) is randomly selected, the same labor cost is ensured, the standard reaching emission statistical analysis is carried out on the third-party water quality monitoring data (1 monitoring data per month according to the water quality monitoring frequency requirement) of 35 facilities in the village and town, which are subjected to supervision identification first and last 3 months, and the average standard reaching rate of the 35 treatment facilities per 3 months is only 27.8% before the preferential supervision identification is adopted.

Claims (7)

1. A method for identifying a prior supervision set of rural domestic sewage treatment facilities is characterized by comprising the following steps:
(1) selecting a rural area to be supervised, dividing supervision area units in the rural area, estimating single pollutant pollution production intensity and single pollutant pollution discharge intensity of each supervision area unit, determining the pollution production weight and the pollution discharge weight of each supervision area unit, performing cluster analysis by taking the pollution production weight and the pollution discharge weight as variables, and dividing each supervision area unit into a heavy pollution discharge area, a medium pollution discharge area, a general pollution discharge area and a light pollution discharge area according to the obtained cluster analysis result;
(2) estimating the single-factor water quality index and the inner-merosal comprehensive index of each supervision area unit by adopting a single-factor water quality index method and an inner-merosal comprehensive index method, performing cluster analysis by taking the single-factor water quality index and the inner-merosal comprehensive index as variables, and dividing the supervision area units into a highly sensitive area, a moderately sensitive area, a slightly sensitive area and an insensitive area according to the obtained cluster analysis result;
(3) selecting supervision area units belonging to a highly sensitive area or a moderately sensitive area from the supervision area units which are divided into the heavy sewage discharge area, the moderate sewage discharge area and the general sewage discharge area in the step (1) according to the division result in the step (2), and obtaining a priority supervision area set I;
(4) selecting supervision area units belonging to the natural ecological red line area according to the division standard of the natural ecological red line area by taking the supervision area units except the priority supervision area set I as identification objects to obtain a priority supervision area set II;
(5) combining the priority supervision area set I and the priority supervision area set II to form a total priority supervision area set;
(6) classifying the rural domestic sewage treatment facilities in the total priority supervision area set according to the treatment scale of the rural domestic sewage treatment facilities to obtain a plurality of supervision level units, calculating the single pollutant pollution production intensity and the single pollutant pollution discharge intensity of each supervision level unit to obtain the pollution production weight and the pollution discharge weight of each supervision level unit, performing cluster analysis by taking the pollution production weight and the pollution discharge weight of each supervision level unit as variables, and obtaining two sets which are respectively a priority supervision level set and a common supervision level set according to the obtained cluster analysis result;
(7) selecting the rural domestic sewage treatment facilities in the priority supervision level set in the step (6), and classifying the rural domestic sewage treatment facilities in each priority supervision level set according to the process type of the rural domestic sewage treatment facilities to obtain a plurality of supervision type units;
counting the number of rural raw sewage treatment facilities in each supervision unit to obtain the proportion of each supervision unit in the whole priority supervision level set, and sequencing each supervision unit according to the rule of from top to bottom according to the proportion;
if the percentage value of the supervision units ranked first in the sequence is more than 75 percent and the percentage value of the supervision units ranked second is less than 15 percent, directly taking the priority supervision level set obtained in the step (6) as a rural domestic sewage treatment facility priority supervision set obtained by final identification; otherwise, performing the step (8);
(8) calculating the single pollutant pollution production intensity and the single pollutant pollution discharge intensity of each supervision unit to obtain the pollution production weight and the pollution discharge weight of each supervision unit, performing cluster analysis by taking the pollution production weight and the pollution discharge weight of each supervision unit as variables, and obtaining two sets which are respectively a priority supervision set and a general supervision set according to the obtained cluster analysis result; and taking the priority supervision class set as a finally identified priority supervision set of the rural domestic sewage treatment facility.
2. The method for identifying the rural domestic sewage treatment facility priority supervision set according to claim 1, wherein in the step (1), the supervision area unit takes administrative areas as a division standard.
3. The rural domestic sewage treatment facility priority supervision set identification method of claim 1, wherein in step (1), the pollutant pollution intensity of each supervision area unit is estimated by adopting a comprehensive source intensity estimation algorithm;
the formulas are shown in (1) to (3):
Wc=Q×ρc×10-3(1)
Fc=365×N×Wc×10-6(2)
Gc=Fc/S (3)
in the formula, WcIs pollutant (NH) of rural domestic sewage treatment facility3-fouling coefficients of N, TP, TN, COD), in units: g.d-1Human being-1;FcThe unit is the annual pollutant yield of the pollutants of rural domestic sewage treatment facilities: t.a-1;GcThe annual sewage production intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the average water consumption of rural residents, unit: l.d-1Human being-1;ρcThe unit concentration of the pollutant inflow water of each supervision area unit facility is as follows: mg.L-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
4. The rural domestic sewage treatment facility priority supervision set identification method of claim 1, wherein in step (1), the pollutant discharge intensity of each supervision area unit is estimated by adopting a comprehensive source intensity estimation algorithm;
the formulas are shown in (4) to (6):
Wp=Q×ρp(1-Qn/Q)×10-3(4)
Fp=365×N×Wp×10-6(5)
Gp=Fp/S (6)
in the formula, WpIs pollutant (NH) of rural domestic sewage treatment facility3-N, TP, TN, COD) pollution discharge coefficient in units: g.d-1Human being-1;FPThe unit of annual pollutant discharge of rural domestic sewage treatment facilities is as follows: t.a-1;GPThe unit of the annual pollution discharge intensity of rural domestic sewage treatment facilities is as follows: t.km-2·a-1(ii) a Q is the average water consumption of rural residents, unit: l.d-1Human being-1;ρpThe pollutant emission concentration of each unit facility in each supervision area is as follows: mg.L-1;QnThe unit is the sewage utilization amount: l.d-1Human being-1(ii) a N is the actual number of people who benefits in each supervision area unit, the unit: a human; s is the unit area of each supervision area, unit: km2
5. The method for identifying the rural domestic sewage treatment facility priority supervision set according to claim 1, wherein in the steps (1), (6) and (8), the pollution production weight and the pollution discharge weight are calculated by using a factor analysis method and a weighted index method.
6. The method according to claim 1, wherein in step (6), the supervisory-level units are a high-treatment-scale supervisory-level unit, a medium-high-treatment-scale supervisory-level unit, a regular-treatment-scale supervisory-level unit and a general-treatment-scale supervisory-level unit;
the daily sewage treatment capacity of the high treatment scale supervision stage unit is more than or equal to 50 tons, the daily sewage treatment capacity of the medium and high treatment scale supervision stage unit is less than 50 tons and more than or equal to 30 tons, the daily sewage treatment capacity of the conventional treatment scale supervision stage unit is less than 30 tons and more than or equal to 20 tons, and the daily sewage treatment capacity of the general treatment scale supervision stage unit is less than 20 tons and more than or equal to 5 tons.
7. The method according to claim 1, wherein in step (7), the supervision units are at least two of a biological treatment process unit, an ecological treatment process unit, a biological and ecological combined treatment process unit, a biological and biological combined treatment process unit, and an ecological and ecological combined treatment process unit;
the biological treatment process comprises an anaerobic process, a biological contact oxidation process, an AO integrated process, A2O process, purification tank process, biological filter process, SBR process or MBR process;
the ecological treatment process is an artificial wetland process, a stabilization pond process or a land treatment process;
the biological and ecological combined treatment process is an anaerobic and artificial wetland combined treatment process, and AO is integrated withCombined treatment process of constructed wetland A2O and artificial wetland combination treatment process, or biological filter and artificial wetland combination treatment process;
the biological and ecological combined treatment process type unit is a combined treatment process of an artificial wetland and a stabilization pond or a combined treatment process of the artificial wetland and land;
the biological and biological treatment process is an anaerobic contact oxidation and purification tank combined treatment process or an anaerobic contact oxidation and biological filter combined treatment process.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114620790A (en) * 2022-04-01 2022-06-14 黄河水利职业技术学院 Electric automation control system of sewage plant
CN114967623A (en) * 2022-06-07 2022-08-30 中国人民解放军陆军工程大学 Method for optimizing scale and selecting process of urban underground sewage treatment plant

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530172A (en) * 2016-10-20 2017-03-22 中国科学院南京地理与湖泊研究所 Method of dividing watershed pollution control unit
CN106600506A (en) * 2016-11-25 2017-04-26 中国科学院生态环境研究中心 Treatment method for elimination of lake and reservoir type black and odorous water bodies
CN107563139A (en) * 2017-09-06 2018-01-09 郑州大学 A kind of point source sudden water pollution source accident source percentage contribution computational methods
AU2018100955A4 (en) * 2018-07-06 2018-09-06 McLinton, Sareen MR A Mobile device application for the exclusive use of current and former National Defence Force employees (Army, Navy, Marines, Airforce, Special Ops) and Emergency Services personnel (Fire & Rescue, Police, Ambulance officers in both metropolitan and rural working environments) from every country, and their partners/spouses designed to facilitate online communication, support, advice, and social engagement with like minded peers within their profession locally and from around the world. Personal and professional information will be used to match users with other like minded peers.

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530172A (en) * 2016-10-20 2017-03-22 中国科学院南京地理与湖泊研究所 Method of dividing watershed pollution control unit
CN106600506A (en) * 2016-11-25 2017-04-26 中国科学院生态环境研究中心 Treatment method for elimination of lake and reservoir type black and odorous water bodies
CN107563139A (en) * 2017-09-06 2018-01-09 郑州大学 A kind of point source sudden water pollution source accident source percentage contribution computational methods
AU2018100955A4 (en) * 2018-07-06 2018-09-06 McLinton, Sareen MR A Mobile device application for the exclusive use of current and former National Defence Force employees (Army, Navy, Marines, Airforce, Special Ops) and Emergency Services personnel (Fire & Rescue, Police, Ambulance officers in both metropolitan and rural working environments) from every country, and their partners/spouses designed to facilitate online communication, support, advice, and social engagement with like minded peers within their profession locally and from around the world. Personal and professional information will be used to match users with other like minded peers.

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
段华平等: "常熟市农业和农村污染的优先控制区域识别", 《环境科学》 *
王敏: "嘉兴市农村生活污水处理设施优先控制区识别与监管方案研究", 《中国优秀硕士学位论文数据库工程科技I辑》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114620790A (en) * 2022-04-01 2022-06-14 黄河水利职业技术学院 Electric automation control system of sewage plant
CN114620790B (en) * 2022-04-01 2023-08-22 黄河水利职业技术学院 Electric automation control system for sewage plant
CN114967623A (en) * 2022-06-07 2022-08-30 中国人民解放军陆军工程大学 Method for optimizing scale and selecting process of urban underground sewage treatment plant
CN114967623B (en) * 2022-06-07 2023-06-16 中国人民解放军陆军工程大学 Method for optimizing scale and selecting process of urban underground sewage treatment plant

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