CN100401308C

CN100401308C - Method for inverting calculating land source draining away sewage quantity based on genetic calculating

Info

Publication number: CN100401308C
Application number: CNB2005101238268A
Authority: CN
Inventors: 胡筱敏; 熊学军
Original assignee: Individual
Current assignee: Individual
Priority date: 2005-11-23
Filing date: 2005-11-23
Publication date: 2008-07-09
Anticipated expiration: 2025-11-23
Also published as: CN1786973A

Abstract

The present invention belongs to the field of the land source draining away sewage quantity monitoring and management technique, and discloses a sea environment pollution monitoring method which is characterized in that the land source draining away sewage quantity can be obtained by inverting the pollutant concentration monitored through on-sea samples. Firstly, an offshore sea kinetics numerical model is established; then the genetic algorithm is introduced into the research on sea environment problems, and the inversion relationship between on-sea sample parameters and pollution discharging parameters is established by the systematical research, design and training on the sea environment problems. Therefore, the corresponding land source draining away sewage quantity is obtained by inverting the pollutant concentration monitored through on-sea samples. The invention has strong practicality and high universality and mainly applies to monitoring and managing the land source draining away sewage quantity.

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

1. inversion method based on the Lu Yuan blowdown flow rate of genetic algorithm, it is characterized in that ocean dynamics feature according to the sewage draining exit surrounding waters, select numerical model, given starting condition and boundary condition, 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; Utilize genetic algorithm that the Lu Yuan blowdown flow rate is carried out inverting: objective function of (1) definition; (2) with the initialization under fixed 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 every pairing target function value of chromosome x i in the colony, i=1 wherein, 2 ..., n, 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 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.