CN1786973A - Method for inverting calculating land source draining away sewage quantity based on genetic calculating - Google Patents

Method for inverting calculating land source draining away sewage quantity based on genetic calculating Download PDF

Info

Publication number
CN1786973A
CN1786973A CNA2005101238268A CN200510123826A CN1786973A CN 1786973 A CN1786973 A CN 1786973A CN A2005101238268 A CNA2005101238268 A CN A2005101238268A CN 200510123826 A CN200510123826 A CN 200510123826A CN 1786973 A CN1786973 A CN 1786973A
Authority
CN
China
Prior art keywords
colony
inverting
chromosome
calculating
monitoring
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.)
Granted
Application number
CNA2005101238268A
Other languages
Chinese (zh)
Other versions
CN100401308C (en
Inventor
胡筱敏
熊学军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CNB2005101238268A priority Critical patent/CN100401308C/en
Publication of CN1786973A publication Critical patent/CN1786973A/en
Application granted granted Critical
Publication of CN100401308C publication Critical patent/CN100401308C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention belongs to the field of land discharge capacity monitoring and managing technique, advancing an oceanic environment pollution monitoring method able to backward obtain the land discharge capacity by the pollutant concentration monitored through on-sea sampling, firstly establishing an offshore oceanic kinetics numerical mode, then introducing the genetic algorithm into the research on the oceanic environment problem, and establishing the backward relationship between on-sea sampling parameters and pollution discharging parameters by systemic research, design and training on the oceanic environment problem, thus obtaining the corresponding land discharge capacity by the pollutant concentration monitored by on-sea sampling. The invention has strong practicality and high universality and mainly applies to monitoring and managing the land discharge capacity.

Description

Lu Yuan blowdown flow rate inversion method based on genetic algorithm
Technical field
The inversion method that pollutant levels and genetic algorithm by marine sampling monitoring obtains the Lu Yuan blowdown flow rate.
Background technology
In marine environmental management and pollution control work, obtaining the pollution from land-based sources source data is core link.Yet, because the extra large pollution source monitoring of row difficulty, the investigation of Lu Yuan blowdown flow rate itself is one and has that quite big probabilistic process etc. is all multifactor in addition, cause Lu Yuan blowdown flow rate data scarcity, the low of inferior quality problem of data quality, greatly hampered monitoring, improvement and the research of marine environmental pollution.
At this present situation, the seawater that the present invention proposes the sewage draining exit surrounding waters carries out this new monitoring method of sample analysis (hereinafter to be referred as " marine sampling monitoring "), it has following major advantage: (1) is from largely going up, marine sampling can less consider not participate in the influence of the solid shape polluter of ocean diffusion, obtain more accurately marine environment is produced the dissolving of considerable influence and is suspended in marine pollutant discharge amount, thereby more can reflect Lu Yuan blowdown information.(2) the sea pollution parameter is the integral mean to lasting blowdown, and the sewage draining exit blowdown flow rate is risen and fallen certain filter action, helps obtaining average emission information more reliably by small sample.(3) marine sampling monitoring can be avoided the monitoring difficulty that sewage draining exit position, landform etc. are brought, and reduces the sampling risk, improves observed efficiency.(4) comparatively speaking, marine sampling monitoring all is easier at aspects such as instrument and equipment and operation measures implement than the monitoring of sewage draining exit.Therefore, marine sampling monitoring is the effective means of monitoring land-sourced pollutant discharging.
Yet,,, directly infer that from the sampling analysis result actual blowdown flow rate can produce very mistake if do not consider the dynamic process of ocean though the seawater pollution substrate concentration of marine sampling monitoring is closely related with the Lu Yuan blowdown flow rate.Have only to have solved, could realize really that marine sampling monitoring replaces the monitoring of Lu Yuan sewage draining exit from the anti-problem that pushes away parameters sewage of marine sampling parameters.Rely on the ocean dynamics relation also not have the precedent of application from the anti-problem that pushes away parameters sewage of marine sampling parameters the ocean, but tentatively developed similar method in air monitoring, it is generalized in the ocean is fully feasible.
Summary of the invention
Purpose of the present invention is exactly by the genetic analysis technology, develop a kind of practical, versatility is high, can obtain the marine environmental pollution monitoring method of Lu Yuan blowdown flow rate by the pollutant levels inverting of marine sampling monitoring.
The present invention at first sets up coastal ocean dynamics numerical model, then genetic algorithm is incorporated in the research of marine environment problem, by systematic Study, design and training to it, set up the inverting relation of marine sampling parameters and parameters sewage, thereby obtain corresponding Lu Yuan blowdown flow rate by the pollutant levels inverting of marine sampling monitoring.
Description of drawings
Concrete implementing procedure figure of the present invention
Embodiment
1. according to the ocean dynamics feature of sewage draining exit surrounding waters, select suitable numerical model, given suitable starting condition, boundary condition etc., the parameter of adjustment modes, the transporting of the outer surrounding waters of the sewage draining exit that feasible simulation is come out, the character that diffusion characteristic can reflect actual ocean more exactly, think that pattern is accurately this moment, with this basis as the work of next step inverting Lu Yuan sewage draining exit pollutant discharge amount.
2. utilize genetic algorithm that the Lu Yuan blowdown flow rate is carried out inverting:
A. define an objective function;
B. with the initialization under certain constraint condition of feasible solution colony, each feasible solution is encoded with a vectorial X, is called a chromosome, and vector components is represented gene, a certain decision variable of its corresponding feasible solution;
C. calculate in the colony every chromosome x i (i=1,2 ..., n) pairing target function value, and calculate adaptive value Fi with this, estimate the quality of this feasible solution by the size of Fi;
D. with the mechanism of the survival of the fittest, the chromosome of fitness value difference is eliminated,, select at random, breed, form new colony by probability to the chromosome of surviving quality according to its fitness value;
E. by the operation of hybridization and variation, produce filial generation.Hybridization is to select two chromosomes (parents) at random, with certain one or more gene exchange and produce two new individual; Variation is that in the gene certain is undergone mutation;
F. to the operation of filial generation colony repeating step (3)~(5), carry out new round genetic evolution process, up to according to given stopping rule, fitness value satisfies stopping rule, and iteration stopping has promptly found optimum solution or quasi-optimal to separate.
In above-mentioned process of the Lu Yuan blowdown flow rate being carried out inverting, by estimating to draw the approximate range of its feasible solution, under certain precision, in this scope all feasible solutions all can scale-of-two string (chromosome) represent.In this all feasible solution, select initial population at random with certain scale, then carry out the genetic evolution process by above-mentioned steps, by duplicating, hybridize and making a variation, constantly keep the high individuality of fitness value, eliminate the low individuality of fitness value, and in colony, introduce in the feasible solution other new individuality and judge, search is when satisfying given stopping rule in whole feasible solutions, promptly thinks the optimum solution that has found the Lu Yuan blowdown flow rate.
When execution is duplicated, intend the individuality in the current colony by copying in the new colony with the proportional probability of fitness value (Pr).Hybridization probability (Pc) and variation probability (Pm) are determined by numerical experiment.As objective function (adaptation function), estimate chromosomal performance with the error limitation of the calculated value of observation station concentration and observed reading.With the numerical model of calculating the diffusion of maritime environment pollution thing, migration as constraint function.The tolerance of determining a fitness value finishes to evolve the blowdown flow rate distribution field that output is optimum when fitness value reaches this standard as stopping criterion simultaneously.
By above-mentioned design, the present invention can search out globally optimal solution comparatively easily, makes that the pollutant levels by marine sampling monitoring had both had practicality to the inverting of Lu Yuan blowdown flow rate, has certain versatility again.

Claims (2)

1, according to the ocean dynamics feature of sewage draining exit surrounding waters, select numerical model, given starting condition, boundary condition etc., the parameter of adjustment modes, the transporting of the outer surrounding waters of the sewage draining exit that feasible simulation is come out, the character that diffusion characteristic can reflect actual ocean more exactly, think that pattern is accurately this moment, with this basis as the work of next step inverting Lu Yuan sewage draining exit pollutant discharge amount.
2, utilize genetic algorithm that the Lu Yuan blowdown flow rate is carried out inverting: objective function of (1) definition; (2) with the initialization under certain constraint condition of feasible solution colony, each feasible solution is encoded with a vectorial X, is called a chromosome, and vector components is represented gene, a certain decision variable of its corresponding feasible solution; (3) calculate in the colony every chromosome x i (i=1,2 ..., n) pairing target function value, and calculate adaptive value Fi with this, estimate the quality of this feasible solution by the size of Fi; (4) with the mechanism of the survival of the fittest, the chromosome of fitness value difference is eliminated,, select at random, breed, form new colony by probability to the chromosome of surviving quality according to its fitness value; (5) by the operation of hybridization and variation, produce filial generation, hybridization is to select two chromosomes (parents) at random, with certain one or more gene exchange and produce two new individual; Variation is that in the gene certain is undergone mutation; (6) to the operation of filial generation colony repeating step (3)~(5), carry out new round genetic evolution process, up to according to given stopping rule, fitness value satisfies stopping rule, and iteration stopping has promptly found optimum solution or quasi-optimal to separate.
CNB2005101238268A 2005-11-23 2005-11-23 Method for inverting calculating land source draining away sewage quantity based on genetic calculating Expired - Fee Related CN100401308C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNB2005101238268A CN100401308C (en) 2005-11-23 2005-11-23 Method for inverting calculating land source draining away sewage quantity based on genetic calculating

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB2005101238268A CN100401308C (en) 2005-11-23 2005-11-23 Method for inverting calculating land source draining away sewage quantity based on genetic calculating

Publications (2)

Publication Number Publication Date
CN1786973A true CN1786973A (en) 2006-06-14
CN100401308C CN100401308C (en) 2008-07-09

Family

ID=36784426

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB2005101238268A Expired - Fee Related CN100401308C (en) 2005-11-23 2005-11-23 Method for inverting calculating land source draining away sewage quantity based on genetic calculating

Country Status (1)

Country Link
CN (1) CN100401308C (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101582130B (en) * 2009-05-27 2011-10-26 清华大学 Method for improving genetic algorithm structural optimization efficiency
CN112184090A (en) * 2020-11-30 2021-01-05 广东浩迪创新科技有限公司 Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5813798A (en) * 1997-03-28 1998-09-29 Whiffen; Greg Piecewise continuous control of groundwater remediation
CN1217225C (en) * 2003-09-24 2005-08-31 程成 Genetic algorithm design of Er-doping fiber and Er-doping fiber amplifier

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101582130B (en) * 2009-05-27 2011-10-26 清华大学 Method for improving genetic algorithm structural optimization efficiency
CN112184090A (en) * 2020-11-30 2021-01-05 广东浩迪创新科技有限公司 Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor

Also Published As

Publication number Publication date
CN100401308C (en) 2008-07-09

Similar Documents

Publication Publication Date Title
Wang et al. Cyber-physical systems for water sustainability: challenges and opportunities
Mooij et al. Challenges and opportunities for integrating lake ecosystem modelling approaches
CN109002888B (en) Red tide early warning method
CN113406505A (en) Method and device for predicting residual life of fuel cell
CN111242270A (en) Time series prediction model based on improved multi-target difference optimization echo state network
Miao et al. Metamodel based design optimization approach in promoting the performance of proton exchange membrane fuel cells
CN114169242A (en) Intelligent control algorithm for analyzing ecological oxygenation of river channel based on parameter uncertainty
CN100401308C (en) Method for inverting calculating land source draining away sewage quantity based on genetic calculating
CN115829420A (en) Method for judging steady-state conversion threshold of shallow lake
Liu et al. Energy storage battery SOC estimate based on improved BP neural network
CN100397405C (en) Land source sewage discharging quantity inversion method based on variation algorithm
Osidele et al. Identification of model structure for aquatic ecosystems using regionalized sensitivity analysis
CN116312903B (en) Sea sand concrete chloride ion erosion analysis method
CN113087288A (en) Water treatment control system and method for energy center of manufacturing enterprise
Kim et al. Three-dimensional water quality modelling for tidal lake and coastal waters with ROMS-ICM
CN105372995A (en) Measurement and control method for sewage disposal system
CN115346600A (en) Red tide early warning method for ceratophyllum angulatum
Nilsson Offshore wind power co-operated green hydrogen and sea-water oxygenation plant: A feasibility case study for sweden
CN108287972B (en) Method for calculating deep sea optimized discharge amount of sewage based on tidal current change
CN111177971B (en) Sludge volume index distributed soft measurement method
CN107818220A (en) Evaluation method based on dynamics of ecosystem collective model to estuarine environment capacity
KR101993449B1 (en) Energy optimization system using measuring and controling of water treatment facility
CN113902327A (en) Evaluation method and system for corrosion health state of offshore wind plant foundation structure
CN113343601A (en) Dynamic simulation method for water level and pollutant migration of complex water system lake
CN108304654B (en) Sewage deep sea optimized discharge method based on tidal current change

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C19 Lapse of patent right due to non-payment of the annual fee
CF01 Termination of patent right due to non-payment of annual fee