CN101009003A - Water quality index prediction method used for municipal wastewater design - Google Patents
Water quality index prediction method used for municipal wastewater design Download PDFInfo
- Publication number
- CN101009003A CN101009003A CNA2007100512372A CN200710051237A CN101009003A CN 101009003 A CN101009003 A CN 101009003A CN A2007100512372 A CNA2007100512372 A CN A2007100512372A CN 200710051237 A CN200710051237 A CN 200710051237A CN 101009003 A CN101009003 A CN 101009003A
- Authority
- CN
- China
- Prior art keywords
- water
- pollutant
- unit
- service area
- sewage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/152—Water filtration
Landscapes
- Sewage (AREA)
Abstract
This invention discloses one city polluted water quality prediction method, which comprises the following steps: firstly researching and collection parameters composed of pollution water shop service area design entrance, citizen integral lift water volume, industry total product, citizen life water pollution parameters and underground water volume; then computing each year daily water pollution volume and continuing collection composed of the remove rate, service area manure rate and industry water pollution standard changes.
Description
Technical field
The present invention relates to the Forecasting Methodology of water-quality guideline, particularly relate to a kind of city polluted water quality prediction method.
Background technology
The determining of municipal effluent design water-quality guideline is the prerequisite that the wastewater treatment plant process flow is selected, and be closely related with construction cost, operational management mode and the operating cost thereof of sewage treatment plant.Yet, in a lot of cities especially higher southern city of underground water table, its Sewage Plant influent concentration is on the low side, sewage quantity changes greatly, the sewage treatment plant that causes designing routinely the water quality and quantity index Design is in for a long time that the aeration tank sludge loading is on the low side, oxygenation capacity is excessive, the dysgonic situation of active sludge, not only make troubles, also increased operating cost in vain to operational management.
Summary of the invention
Technical matters to be solved by this invention is: the Forecasting Methodology that a kind of municipal effluent design water-quality guideline is provided, this method can be predicted the mean annual concentration and the amplitude of variation thereof of any 1 year certain pollutant comparatively exactly, thereby can be used to instruct the design and running of municipal wastewater treatment plant.
The technical solution adopted for the present invention to solve the technical problems, its step comprises:
A. the Sewage Plant service area municipal effluent amount of every day in calculation Design time:
Earlier investigation and acquisition parameter, this parameter comprise that the comprehensive domestic consumption of design population, resident, gross industrial output value, industrial water consumption standard, the resident living water in the Sewage Plant service area roll over dirty coefficient and underground water infiltration capacity, calculate according to formula (1) then:
Q
T=P
T·n
T·γ
s/1000+M
T·m
T·γ
g/365+Q
unT (1)
In the formula (1): Q
TBe design time municipal effluent amount predicted value, the m of unit
3/ d; P
TFor designing population in the corresponding time service area, the people of unit; n
TBe the comprehensive Live Use Water Quota of corresponding time resident, the L/ of unit (people d); γ
sRoll over dirty coefficient for resident living water, can be taken as 0.85; M
TBe gross industrial output value in the corresponding time service area, ten thousand yuan/year of units; m
TBe corresponding time industrial water consumption standard, the m of unit
3/ ten thousand yuan; γ
gBe the fresh water blowdown of industry coefficient; Q
UnTBe corresponding time underground water infiltration capacity, the m of unit
3/ d;
B. predictive designs time Sewage Plant is advanced the mean annual concentration of certain pollutant in factory's sewage:
Elder generation's investigation and acquisition parameter, this parameter comprise the changing factor of this pollutant in ducted clearance, Sewage Plant construction front and back service area septic tank popularity rate and industrial wastewater discharge standard, then according to the parameter of collection and the Q of step a calculating gained
T, calculate according to formula (2):
In the formula (2): C
TFor corresponding to prediction time T, these pollutant levels in the Sewage Plant water inlet, the mg/L of unit; W
Y *Resident's this pollutant emission figureofmerit per capita when establishing septic tank, the g/ of unit (people d); W
N *Resident's this pollutant emission figureofmerit per capita when not establishing septic tank, the g/ of unit (people d); P
BFor designing population, the people of unit in the service area before founding the factory; H
TBe corresponding time sanitary sewage septic tank popularity rate; η
HBe the clearance of septic tank to this pollutant; M
BBe industrial outpuut in the service area before founding the factory, ten thousand yuan/year of units; C
ABe these pollutant levels in the postindustrial waste water of founding the factory, the mg/L of unit; C
BBe these pollutant levels in the industrial waste water before founding the factory, the mg/L of unit; η is the clearance of pollutant in sewer line, calculates according to formula (3):
In the formula (2), the meaning of other symbol is with step a;
In above-mentioned variable substitution formula (2), resulting data are predicted city sewage design water-quality guideline.
In addition, advance the mean annual concentration C of certain pollutant in factory's sewage according to above-mentioned steps b gained design time Sewage Plant
TPeaking variation factor K with this pollutant of locality investigation
Z, can infer the year maximal value C of these pollutant levels according to the following equation
TmaxThereby, the amplitude of variation of definite these pollutant levels:
C
Tmax=C
T·K
Z。
The invention has the beneficial effects as follows: the mean annual concentration of the water-quality guideline of predicted city sewage and amplitude of variation thereof comparatively exactly, predicated error is generally less than 10%, can instruct the design and running of municipal wastewater treatment plant, for municipal wastewater treatment plant has been established theoretical foundation by the water quality built by separate periods, thereby save the construction investment and the operating cost of Sewage Plant.
Embodiment
The present invention has set up pollutant mean annual concentration predictor formula in the municipal effluent of the variablees such as underground water infiltration capacity that quantitatively comprise the degradation rate of pollutant in septic tank and pipe duct, sewage pipe duct.
Method provided by the invention can be applied to the higher southern city of underground water table, suitably monitors partial data and can revise partial parameters in the predictor formula, and adopting this method is the annual mean and the amplitude of variation thereof of water-quality guideline in the sewage of measurable town.
The invention will be further described below in conjunction with embodiment, but do not limit the present invention.
The present invention is used for the COD of the year two thousand twenty of Huang Jia lake, Wuhan City sewage treatment plant is predicted that its step is as follows:
1.2020 year available following formula of Huang Jia lake sewage treatment plant service area municipal effluent amount calculates:
Q
T=P
T·n
T·γ
s/1000+M
T·m
T·γ
g/365+Q
unT (1)
In the formula (1): T is the year two thousand twenty, then according to P in the planning data Huang Jia lake sewage treatment plant service area
T=64 ten thousand people, n
T=320L/ (people d): get γ
s=0.85; It is predicted M
T=2,100 ten thousand yuan/year, m
T=62.85m
3/ ten thousand yuan; The γ of this area according to investigations
g=0.71; It is predicted the Q of the year two thousand twenty
UnTGet preceding two 20%.
In the above-mentioned formula of above-mentioned variable substitution (1), can get municipal effluent total amount: Q in the year two thousand twenty Huang Jia lake sewage treatment plant service area
2020=32.1 ten thousand m
3/ d.
2.2020 the COD mean annual concentration can calculate with following formula in year Huang Jia lake sewage treatment plant sewage:
In the formula (2): T is the year two thousand twenty, and 2005 found the factory; Q
TBe 32.1 ten thousand m
3/ d, calculated by step 2.By resident's pollutant discharge amount index prediction formula per capita, for COD, the W of the year two thousand twenty
Y *=W
N *=84.04gCOD/ (people d).Design population P in the Huang Jia lake sewage treatment plant service area before founding the factory
B=40.44 ten thousand people.According to septic tank popularity rate H in measuring and calculating the year two thousand twenty service area
T=78.57%.Septic tank is to the clearance η of COD
H=12%.Preceding 2005 the interior industrial outpuut M of service area found the factory
B=919.54 ten thousand yuan/year.Get COD concentration C in the industrial waste water before founding the factory
B=120mg/L.Get COD concentration C in the industrial waste water after founding the factory
A=400mg/L; The clearance η of COD in sewer line can calculate by following formula:
In the above-mentioned formula of above-mentioned variable substitution (2), can get that the COD mean annual concentration is in the year two thousand twenty Huang Jia lake sewage treatment plant sewage: C
T=188.9mg/L.
3. the survey showed that for the water quality in solarization area, lake (part of Huang Jia lake sewage treatment plant service area), the peaking variation factor K of the COD of this area
Z=4.77, can infer that the year maximal value of the year two thousand twenty COD is:
C
Tmax=C
T·K
Z=188.9×4.77=901.05(mg/L)
According to the method described above, can obtain the year two thousand twenty BOD equally
5, TN, NH
3The predicted value of-N and TP.
According to the method described above, can inquire into equally and obtain COD, BOD in the sewage treatment plant inflow of arbitrary time Huang Jia lake
5, TN, NH
3The annual mean of-N and TP and a year maximal value, and the monthly water quantity and quality index of annual each month.
Claims (2)
1. the Forecasting Methodology of a municipal effluent design water-quality guideline is characterized in that described method, and its step comprises:
A. the Sewage Plant service area municipal effluent amount of every day in calculation Design time: investigation and acquisition parameter earlier, this parameter comprises that the comprehensive domestic consumption of design population, resident, gross industrial output value, industrial water consumption standard, the resident living water in the Sewage Plant service area roll over dirty coefficient and underground water infiltration capacity, calculates according to formula (1) then:
Q
T=P
T·n
T·γ
s/1000+M
T·m
T·γ
g/365+Q
unT (1)
In the formula (1): Q
TBe design time municipal effluent amount predicted value, the m of unit
3/ d; P
TFor designing population in the corresponding time service area, the people of unit; n
TBe the comprehensive Live Use Water Quota of corresponding time resident, the L/ of unit (people d); γ
sRoll over dirty coefficient for resident living water, can be taken as 0.85; M
TBe gross industrial output value in the corresponding time service area, ten thousand yuan/year of units; m
TBe corresponding time industrial water consumption standard, the m of unit
3/ ten thousand yuan; γ
gBe the fresh water blowdown of industry coefficient; Q
UnTBe corresponding time underground water infiltration capacity, the m of unit
3/ d;
B. predictive designs time Sewage Plant is advanced the mean annual concentration of certain pollutant in factory's sewage: investigate earlier and acquisition parameter, this parameter comprises the variation of this pollutant in ducted clearance, Sewage Plant construction front and back service area septic tank popularity rate and industrial wastewater discharge standard, then according to the parameter of collection and the Q of step a calculating gained
T, calculate according to formula (2):
In the formula (2): C
TFor corresponding to prediction time T, these pollutant levels in the Sewage Plant water inlet, the mg/L of unit; W
Y *Resident's this pollutant emission figureofmerit per capita when establishing septic tank, the g/ of unit (people d); W
N *Resident's this pollutant emission figureofmerit per capita when not establishing septic tank, the g/ of unit (people d); P
BFor designing population, the people of unit in the service area before founding the factory; H
TBe corresponding time sanitary sewage septic tank popularity rate; η
HBe the clearance of septic tank to this pollutant; M
BBe industrial outpuut in the service area before founding the factory, ten thousand yuan/year of units; C
ABe these pollutant levels in the postindustrial waste water of founding the factory, the mg/L of unit; C
BBe these pollutant levels in the industrial waste water before founding the factory, the mg/L of unit; η is the clearance of pollutant in sewer line, calculates according to formula (3):
In the formula (2), the meaning of other symbol is with step a;
In above-mentioned variable substitution formula (2), resulting data are predicted city sewage design water-quality guideline.
2. the Forecasting Methodology of municipal effluent design water-quality guideline as claimed in claim 1 is characterized in that: the mean annual concentration C that advances certain pollutant in factory's sewage according to step b gained design time Sewage Plant
TPeaking variation factor K with this pollutant of locality investigation
Z, infer the year maximal value C of these pollutant levels according to the following equation
TmaxThereby, the amplitude of variation of definite these pollutant levels:
C
Tmax=C
T·K
Z。
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNA2007100512372A CN101009003A (en) | 2007-01-09 | 2007-01-09 | Water quality index prediction method used for municipal wastewater design |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNA2007100512372A CN101009003A (en) | 2007-01-09 | 2007-01-09 | Water quality index prediction method used for municipal wastewater design |
Publications (1)
Publication Number | Publication Date |
---|---|
CN101009003A true CN101009003A (en) | 2007-08-01 |
Family
ID=38697414
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNA2007100512372A Pending CN101009003A (en) | 2007-01-09 | 2007-01-09 | Water quality index prediction method used for municipal wastewater design |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN101009003A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108734620A (en) * | 2018-05-29 | 2018-11-02 | 大连海事大学 | A kind of size of population investigation method based on concentration of wastewater monitoring |
CN109614673A (en) * | 2018-11-27 | 2019-04-12 | 华南理工大学 | A kind of method for quick predicting of sewage plant dehydration machine room workspace total quantity control on emission |
CN110057410A (en) * | 2019-04-23 | 2019-07-26 | 中国市政工程华北设计研究总院有限公司 | Day Sewage Pollution object, which generates to measure, per capita calculates integrated apparatus and its method |
CN110092507A (en) * | 2019-05-30 | 2019-08-06 | 中国水利水电科学研究院 | A kind of method and device of Industrial Wastewater Treatment |
CN113159448A (en) * | 2021-05-12 | 2021-07-23 | 烟台应辉智能科技有限公司 | Automatic analysis and discrimination method based on environmental protection big data |
CN116502809A (en) * | 2023-06-27 | 2023-07-28 | 中国市政工程华北设计研究总院有限公司 | Method for predicting sewage quantity during drainage household based on big position data |
-
2007
- 2007-01-09 CN CNA2007100512372A patent/CN101009003A/en active Pending
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108734620A (en) * | 2018-05-29 | 2018-11-02 | 大连海事大学 | A kind of size of population investigation method based on concentration of wastewater monitoring |
CN109614673A (en) * | 2018-11-27 | 2019-04-12 | 华南理工大学 | A kind of method for quick predicting of sewage plant dehydration machine room workspace total quantity control on emission |
CN109614673B (en) * | 2018-11-27 | 2021-03-30 | 华南理工大学 | Method for rapidly predicting average concentration of pollutants in working area of dewatering machine room of sewage plant |
CN110057410A (en) * | 2019-04-23 | 2019-07-26 | 中国市政工程华北设计研究总院有限公司 | Day Sewage Pollution object, which generates to measure, per capita calculates integrated apparatus and its method |
CN110092507A (en) * | 2019-05-30 | 2019-08-06 | 中国水利水电科学研究院 | A kind of method and device of Industrial Wastewater Treatment |
CN113159448A (en) * | 2021-05-12 | 2021-07-23 | 烟台应辉智能科技有限公司 | Automatic analysis and discrimination method based on environmental protection big data |
CN116502809A (en) * | 2023-06-27 | 2023-07-28 | 中国市政工程华北设计研究总院有限公司 | Method for predicting sewage quantity during drainage household based on big position data |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Koutsou et al. | Domestic wastewater management in Greece: Greenhouse gas emissions estimation at country scale | |
Pan et al. | Estimate of life-cycle greenhouse gas emissions from a vertical subsurface flow constructed wetland and conventional wastewater treatment plants: A case study in China | |
Sato et al. | Economic evaluation of sewage treatment processes in India | |
Yang et al. | Performance analysis and evaluation of the 146 rural decentralized wastewater treatment facilities surrounding the Erhai Lake | |
CN101009003A (en) | Water quality index prediction method used for municipal wastewater design | |
Gikas et al. | Performance and modeling of a vertical flow constructed wetland–maturation pond system | |
CN109467287A (en) | Mineralising denitrogenation dephosphorizing and sludge reduction and ecological filter coupled processing system | |
CN101693573B (en) | Optimal design method of AAO process reaction tank | |
Chatterjee et al. | Low efficiency of sewage treatment plants due to unskilled operations in India | |
CN107352738B (en) | Composite artificial ecological bed sewage treatment system and method for enhancing nitrogen and phosphorus removal | |
CN204490603U (en) | The reaction unit of phosphate from sewage is efficiently removed without anaerobic phosphorus release | |
Foxon et al. | The Evaluation of the anaerobic baffled reactor for sanitation in dence per-urban settlements | |
Sharawat et al. | Analysis of a wastewater treatment plant for energy consumption and greenhouse gas emissions | |
Qteishat et al. | Changes of wastewater characteristic during transport in sewers | |
Guan et al. | Energy and carbon footprint analysis of municipal wastewater treatment process integrated with food waste disposer | |
CN103739071B (en) | Micro-polluted surface water denitrifying method | |
CN203112667U (en) | Integral sewage treatment device | |
CN107381779A (en) | A kind of saprobia electro photoluminescence processing and tail gas synergy wetland purification system | |
CN209113690U (en) | Country sewage integrated equipment for wastewater treatment | |
de Haas et al. | Greenhouse gas inventories from WWTPs–the trade-off with nutrient removal | |
CN107445399A (en) | The modularization assemble equipment and sewage water treatment method of a kind of sanitary sewage disposal | |
CN108187450A (en) | A kind of method handled with the iron filings enhanced sewage treatment plant obnoxious gas in-situ that gets rusty | |
Matar et al. | Modelling the benefits of urine source separation scenarios on wastewater treatment plants within an urban water basin | |
CN217297610U (en) | Municipal sewage treatment system of many operational modes | |
CN212315697U (en) | Anaerobic and aerobic end packaging structure for sewage treatment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C12 | Rejection of a patent application after its publication | ||
RJ01 | Rejection of invention patent application after publication |
Open date: 20070801 |