CN109544024A - A kind of method of suitable small watershed river multi-water resources water quality and quantity scheduling - Google Patents
A kind of method of suitable small watershed river multi-water resources water quality and quantity scheduling Download PDFInfo
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Abstract
The present invention provides a kind of method of suitable small watershed river multi-water resources water quality and quantity scheduling, belongs to environmental hydraulics technical field.This method collect first the long series at different adjusting water water sources day by day, water quantity and quality data month by month, specify the water quality situation of water transfer water source different year different times；Then EFDC model foundation small watershed distributed water power and water Quality Coupling Model are utilized；The objective function of setting multi-water resources scheduling Genetic Algorithm Model is required further according to water transfer；Further determine that water transfer water source water quantity restraint and Water Requirement constraint；Using genetic algorithm mathematical model, the water transfer water quantity model scheme collection of different year different times is established；It is used to simulate the water and change of water quality in the river under different water transfer water sources allocation plan using EFDC distributed water power and water quality model；Finally filter out the best water diversion volume of different year different times.The multi-water resources scheduling that the water quality that this method can be realized river after water transfer is best, water transfer economic cost is minimum, water resource is most saved.
Description
Technical field
The present invention relates to environmental hydraulics and operational research technical field, particularly relate to a kind of suitable small watershed river multi-water resources
The method of water quality and quantity scheduling.
Background technique
Continuous improvement with people to water ecological environment quality requirement, small watershed water ecological environment quality increasingly by
The concern of people is the effective ways for improving the water ecological environments such as river, reservoir using water resource scheduling, while being also to solve water
One of method of shortage of resources.Current water resource scheduling, it is most of to carry out large span, length using single or same type water source
Distance scheduling, the problem of to improve large watershed, reservoir or lake ecological water need, there are many Available water resources, water for small watershed
There are larger differences, such as underground water, surface water, recycled water, reservoir water for matter, water, but are a lack of and how to make full use of small stream
Domain water resources are to improve the water resource dispatching method of water ecological environment quality.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of sides of suitable small watershed river multi-water resources water quality and quantity scheduling
Method quantifies the water quality in river after water transfer by simulating the spatial and temporal distributions of a variety of adjusting water water resource water quality under different scheduling schemes
Improvement degree, the multi-water resources scheduling that the water quality in river is best after realization water transfer, water transfer economic cost is minimum, water resource is most saved,
To provide the preferred plan of small watershed water quality and quantity Optimized Operation, for policymaker's selection.
It is as follows that the method comprising the steps of:
S1: collect the long series at different adjusting water water sources day by day, water quantity and quality data and rainfall, temperature hydrology number month by month
According to, small watershed day, the moon, year Water Requirement are calculated, determines that river need to dispatch water according to Water Requirement and status flow, it is bright
The water quality situation of true water transfer water source different year different times；
S2: the underwater topography data money obtained with the small watershed water quality and quantity monitoring data and purchase that are obtained in S1 or mapping
Based on material, small watershed distributed water power and water quality model are established using EFDC prototype software；
S3: requiring the objective function of setting multi-water resources scheduling Genetic Algorithm Model according to water transfer, specific as follows:
(1) the sum of the water at water source is respectively dispatched:
Wherein, f1--- total water diversion volume；
αi--- the degree of priority at adjusting water water source；
xi--- the flow at adjusting water water source, m3/d；
(2) respectively scheduling pollution of waterhead index meets:
Wherein, m1--- the value up to standard of main contamination index；
N --- the number at adjusting water water source；
bi--- the water quality at adjusting water water source, the i.e. concentration of polluter, g/m3；
A --- the status average value of the main contamination index of small watershed different times；
X --- the flow of small watershed different times, m3/d；
(3) water transfer expense:
Wherein, f2--- water transfer total cost, member；
ci--- the water supply cost coefficient at water transfer water source, member/m3；
S4: it is as follows that constraint condition is further set using Multiobjective Optimal Operation model:
(1) water transfer water source water quantity restraint:
di≤xi≤e；
Wherein, ei--- water transfer water source water maximum value, m3/d；
di--- water transfer water source water minimum value, m3/d；
(2) water quantity restraint need to be dispatched:
Wherein, δ --- river different year different times need to dispatch water, m3/d；
βi--- the water loss factor at adjusting water water source；
S5: Revised genetic algorithum mathematical model is used, the water transfer water quantity model scheme of different year different times is established
Collection；
S6: it is simulated under different water transfer water sources allocation plan using the EFDC distributed water power and water quality model established in S2
River water and change of water quality；
S7: using water quality guarantee and economy as principle, quantization obtains the water correction degree and economy of different allocation plans
Expense filters out the best water diversion volume of different year different times.
The establishment process of small watershed distributed water power and water quality model is as follows in S2:
S21: establishing model show layers, map is imported EFDC prototype software using Arcgis, then carry out figure layer setting；
S22: simulation context, earth's surface elevation and primary condition setting are defined；
S23: it completes the network of waterways and describes, grid property, including number of grid, full-size, minimum dimension are set:, import length
Serial rainfall, temperature, radiation hydrographic data；
S24: the setting of main cross sections underwater topography and drainage basin height difference setting；
S25: the setting of water quality indicator parameter: setting water transfer point of release and waste outlets are generally changed a little；
S26: parameter calibration is carried out using water and water quality measured data.
Revised genetic algorithum model foundation process is as follows in S5:
(1) mode is coded and decoded:
Decimal system real number concatenated coding is selected, by continuous variable discretization when coding, all variables are separated into mutually same
Part, it is denoted as N, the variation range of chromosomal gene value is [1, N+1], chromosomal gene value x 'iTo decision variable true value xi, it
Between conversion formula are as follows:
(2) initialization of population:
In the Optimal Allocation Model at small watershed multiple target water source constraint condition be lower than 5, using meet constraint condition with
Machine initialization, the value for meeting constraint condition is randomly generated in each variable, then the genic value of all variables is pressed minimum character set and is compiled
Code rule encoding is at chromosome；
(3) fitness function designs:
According to the type of optimization problem, the fitness letter of individual is found out by certain transformation rule by objective function f (x)
Number F (x)；Specific transformation rule formula is as follows:
In formula, σ is penalty factor, and g (X) is constraint condition expression formula, and target minimization problem takes "+", otherwise takes "-"；
(4) selection of genetic manipulation:
Selecting operation: regular geometry sequencing selection method is used, individual in population is ranked up according to adaptive value, serial number is got over
It is small to indicate better, for select probability P (i): P (i)=q* (1-q) of some individualr-1, q is the optimal probability given of selection in formula,
R is serial number, q*=q/ [1- (1-q)p]), p is Population Size；
Crossing operation: using nonuniform arithmetical crossover, and crossover probability uses adaptive crossover operator；
Mutation operator: using non-uniform mutation, and mutation probability uses TSP question rate；
(5) for each individual in new parent population, individual goal value is calculated using algorithm in S3；
(6) it is to judge benchmark with individual goal value, judges the superiority and inferiority relationship between each individual, filter out the new parent
In population it is non-it is bad individual and update elite collection；
(7) judge whether to meet the condition of convergence, if reaching the condition of convergence, export elite integrate as water quality and quantity multiple target it is excellent
Change scheduling scheme collection；Otherwise circulation executes step (2) and arrives step (6), when reaching the condition of convergence, terminates to execute.
Small watershed be provided on the way multiple plan water transfer point of release and on the way waste outlets generally change a little, with reach water quality and
The correction of water.
In S3, the water supply cost coefficient c of water transfer in economic goal equationiCalculation are as follows:
ci=Pi+Qi
Wherein, PiFor the water price at water transfer water source；QiThe expense of every cubic meter of water is dispatched for water diversion project.
In S4, the water loss factor calculation at adjusting water water source in water quality equation are as follows:
βi=evaporation coefficient Mi+ infiltration coefficient Ni
Wherein: evaporation coefficient MiIt is calculated using the data that hydraulic department provides；
Infiltration coefficient NiTo sample the coefficient for determining that riverbed soil property determines.
In step (7) condition of convergence be reach goal condition number of individuals it is enough, i.e., at least guarantee each of different year
There are 2~3 scheme alternatives in period.
The advantageous effects of the above technical solutions of the present invention are as follows:
The small watershed river multi-water resources water quality and quantity dispatching method provided in above scheme, be one kind comprehensively consider water quality and
The dispatching method of water transfer expense, regulation goal not only needs water quality reaching standard, while water transfer expense is minimum.Pass through genetic algorithm mathematics
Model obtains the preliminary scheduling scheme for meeting water, water quality and water transfer expense, simulates adjusting water source water under different scheduling schemes
The spatial and temporal distributions of matter quantify the water correction degree in river after water transfer, realize river after water transfer water quality is best, water transfer economy at
The multi-water resources scheduling that this minimum, water resource are most saved, to provide the preferred plan of small watershed water quality and quantity Optimized Operation for determining
Plan person's selection.
Detailed description of the invention
Fig. 1 is the method flow diagram that suitable small watershed river multi-water resources water quality and quantity of the invention is dispatched.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
The present invention provides a kind of method of suitable small watershed river multi-water resources water quality and quantity scheduling.Maximum with water correction,
The minimum objective function of water transfer expense establishes genetic algorithm scheduling mathematic model, calculates solution and obtains preliminary scheduling scheme library；
EFDC small watershed distributed water power water quality model, simulates the water and pollutant concentration in river under all scheduling schemes, comprehensive
The small watershed multi-water resources scheduling scheme of optimization is exported after screening analysis.Finally provide the dispatching party of different water diversions and leading water time
Case collection is preferred for policymaker.
In concrete application, using Beijing A river valley as survey region, this river basins water quality middle and lower reaches pollutes more this example
Seriously, water quality cannot reach the requirement of " ten, water ", to promote river ecological flow 10% and improving water quality to meet " water ten
The requirement of item " (COD≤20mg/L, ammonia nitrogen≤1.0mg/L, TP≤0.20mg/L), the water quality and quantity joint for carrying out small watershed are adjusted
Degree, schedulable water source includes surface water, recycled water, underground water and outer water transfer.Collect the hydrology-water quality data and ground of A river valley
Lower data, and water quality and quantity monitoring is carried out to important section；Meet " ten, water " with water quality after water transfer least amount of water, scheduling, adjust
The minimum objective function of water rate need to dispatch water with water transfer water source water and satisfaction and establish genetic algorithm scheduling mathematics for constraint
Model calculates solution and obtains preliminary scheduling scheme library；The distribution of EFDC small watershed is established based on the data investigated and bought
Formula hydrodynamic force water quality model is simulated the water and pollutant concentration in river under all scheduling schemes, is exported after Integrated Selection analysis
The small watershed multi-water resources scheduling scheme of optimization.The scheduling scheme collection for finally providing different water diversions and leading water time is excellent for policymaker
Choosing.
As shown in Figure 1, that the method comprising the steps of is as follows:
S1: collect the long series at Beijing A river valley difference adjusting water water source day by day, water quantity and quality data and the stream month by month
The ecological flow of rich, flat wet season in low flow year and dry season is calculated, by Beijing in the hydrographic datas such as rainfall, the temperature in domain
Bureau of Water Resources obtains the water quality situation of water transfer water source different year different times；The examination that two sections are arranged as A river valley is disconnected
Face, respectively a and b section；
S2: the underwater topography data money obtained with the small watershed water quality and quantity monitoring data and purchase that are obtained in S1 or mapping
Based on material, small watershed distributed water power and water quality model, EFDC (The are established using EFDC prototype software
Environmental Fluid Dynamics Code) model is by College of William & Mary Virginia Institute of Marine Science
John Hamrick et al. exploitation three-dimensional surface water water quality model；Wherein, the distributed water power and water quality model
For simulating the water and change of water quality in river under different scheduling schemes；Main establishment process and step are as follows:
(1) model show layers is established, map is imported into EFDC prototype software using Arcgis, then carry out other figure layers and set
It sets
(2) simulation context, earth's surface elevation and primary condition setting are defined
(3) it completes the network of waterways to describe, setting grid property, including number of grid, full-size, minimum dimension etc. import length
The hydrographic datas such as serial rainfall, temperature, radiation
(4) setting of main cross sections underwater topography and drainage basin height difference setting
(5) setting of water quality indicator parameter: setting water transfer point of release and waste outlets are generally changed a little
(6) parameter calibration is carried out using water and water quality measured data；
S3: the objective function of setting multi-water resources scheduling Genetic Algorithm Model is required according to water transfer, according to the multiple of each water source
Section water quality and water data establish multi-water resources water using genetic algorithm using rational utilization of water resources and water correction as principle
Matter water integrated distribution model,
It is specific as follows, it sets out to the angle of river water and water quality combined dispatching, considers three objective functions:
(1) to save water resource, the sum of each water for dispatching water source minimum respectively dispatches the sum of the water at water source:
Wherein, f1--- total water diversion volume；
αi--- the degree of priority at adjusting water water source；
xi--- the flow at adjusting water water source, m3/d；
(2) to guarantee water quality of river satisfaction " ten, water " after scheduling, objective function is set by the way of overall control, respectively
Pollution of waterhead index is dispatched to meet:
Wherein, m1--- the value up to standard of main contamination index；
N --- the number at adjusting water water source；
bi--- the water quality at adjusting water water source, the i.e. concentration of polluter, g/m3；
A --- the status average value of the main contamination index of small watershed different times；
X --- the flow of small watershed different times, m3/d；
(3) water transfer expense:
Wherein, f2--- water transfer total cost, member；
ci--- the water supply cost coefficient at water transfer water source, member/m3；
S4: the sum of water transfer water minimum, water correction degree are maximum, the smallest objective function of water transfer expense need to meet with
Lower constraint condition: water transfer water source water quantity restraint and Water Requirement constraint；It is further set using Multiobjective Optimal Operation model
Constraint condition is as follows:
(1) water transfer water source water quantity restraint:
di≤xi≤e；
Wherein, ei--- water transfer water source water maximum value, m3/d；
di--- water transfer water source water minimum value, m3/d；；
(2) water quantity restraint need to be dispatched:
Wherein, δ --- river different year different times need to dispatch water, m3/d；
βi--- the water loss factor at adjusting water water source；
S5: Revised genetic algorithum mathematical model is used, the water transfer water quantity model scheme of different year different times is established
Collection；
S6: it is simulated under different water transfer water sources allocation plan using the EFDC distributed water power and water quality model established in S2
River water and change of water quality；
S7: using water quality guarantee and economy as principle, quantization obtains the water correction degree and economy of different allocation plans
Expense filters out the best water diversion volume of different year different times.
Wherein, Revised genetic algorithum model foundation process is as follows in S5:
(1) mode is coded and decoded:
Decimal system real number concatenated coding is selected, by continuous variable discretization when coding, all variables are separated into mutually same
Part, it is denoted as N, the variation range of chromosomal gene value is [1, N+1], chromosomal gene value x 'iTo decision variable true value xi, it
Between conversion formula are as follows:
(2) initialization of population:
In the Optimal Allocation Model at A river valley multiple target water source there are two constraint conditions, a physical efficiency being randomly generated is same
When meet constraint condition and be easy to reach.In the present embodiment using the random initializtion for meeting constraint condition, i.e., each change
The value for meeting constraint condition is randomly generated in amount, then the genic value of all variables is pressed minimum character set encoding rule encoding into dyeing
Body.
(3) fitness function designs:
Fitness is to be used to measure physical efficiency in genetic algorithm to reach or approach excellent degree in optimal solution, and heredity
The foundation of algorithm optimization process development.The higher individual inheritance of fitness is to follow-on probability with regard to larger；And fitness is lower
Individual inheritance it is more relatively small to follow-on probability.According to the type of optimization problem, one is pressed by objective function f (x)
Fixed transformation rule finds out the fitness function F (x) of individual, specific formula is as follows:
In formula, σ is penalty factor, and g (X) is constraint condition expression formula.Target minimization problem takes "+", otherwise takes "-".
(4) selection of genetic manipulation:
Selecting operation: using regular geometry sequencing selection method, it only focuses on the size relation of individual adaptation degree, for very big
Change and minimization can be applicable in.This back-and-forth method is to be ranked up individual in population according to its adaptive value, the smaller expression of serial number
It is better, for select probability P (i): P (i)=q* (1-q) of some individualr-1, q is the optimal probability given of selection in formula, and r is sequence
Number, q*=q/ [1- (1-q)p]), p is Population Size；
Crossing operation: using nonuniform arithmetical crossover, and crossover probability uses adaptive crossover operator, it is therefore an objective to reduce fitness
The probability that high individual is damaged increases the probability of the low individual of fitness；
Mutation operator: using non-uniform mutation, and mutation probability uses TSP question rate, the thought with adaptive crossover operator
It is identical；
(5) for each individual in new parent population, individual goal value is calculated using algorithm in S3；
(6) it is to judge benchmark with individual goal value, judges the superiority and inferiority relationship between each individual, filter out the new parent
In population it is non-it is bad individual and update elite collection；
(7) judge whether to meet the condition of convergence, if reaching the condition of convergence, export elite integrate as water quality and quantity multiple target it is excellent
Change scheduling scheme collection；Otherwise circulation executes step (2) and arrives step (6), when reaching the condition of convergence, terminates to execute.
Parameter setting is as follows in Revised genetic algorithum mathematical model:
(1) setting (α of priorityi)
It requiring to be that total water diversion volume is minimum due to objective function water, the priority at the smaller water transfer water source of preferred number is bigger,
Surface water is all of preferred number is set as 1.The water of recycled water is big, and water quality is better than ground Table III after handling again
Class water quality can be used as water transfer and preferentially use water source, and the priority of recycled water is high；Baihe fort Reservoir Water Quality is preferable, but water transfer
The priority setting of cost highest, outer water transfer is low.The water quality of underground water is good, and water-transferring cost is lower, and the preferred number of underground water is high
It is lower than Baihe fort reservoir in recycled water.
(2) loss factor (βi)
Caused by the loss of water is predominantly evaporated and permeated in water transfer process, water quality hydrodynamic model is utilized to simulate different
Water source reaches a section and waste when b section after importing mainstream, is calculated when different water sources reach a sections and b section
Loss factor.
(3) water transfer water source water supply cost coefficient (di)
Each water transfer water source water supply expense mainly includes various expense (construction caused by the water resource price and water transfer at water source
Costly, operating cost and administration fee).Surface water only has water resource price, consults to obtain north by Beijing's water utilities board web
Capital city surface water water resource price is 1.6 yuan/m3, groundwater resources price is 4 yuan/m3, regenerate water factory's water resource price and water transfer
The sum of expense is that the initial water price of west of a city regeneration water factory is 2.89 yuan/m3, outer water transfer water transfer price is provided at certain water reservoir management
For 3.8 yuan/m3。
Further, using the genetic algorithm mathematical model of foundation, basic data required for inputting obtains different year
The water quality and quantity scheduling scheme collection of wet season and dry season；
Finally, all water quality and quantity scheduling scheme collection are simulated in EFDC hydrodynamic force water quality model, institute is obtained
There is water quality situation after the water level for examining section after scheme schedules, changes in flow rate and scheduling.Calculate simultaneously one period of comprehensive analysis
Water resource, water transfer expense, water increase rate and the water correction situation dispatched required for different schemes, finally obtain the river A
The optimal water diversion scheme in each period.
Existing river water scheduling is mostly empirical scheduling, only considers water correction degree.The present invention develops to this more
The water quality reaching standard at water source and the multi-water resources Optimized Operation of water transfer network minimal, so as to obtain more being adapted with practical water environment
Best water quality scheduling scheme.The output of existing scheduling scheme is that single water quality hydrodynamic model or intelligent algorithm generate, this
Invention combines the advantage of two methods, preferentially obtains scheduling scheme library by intelligent algorithm, recycles EFDC water quality hydrodynamic force mould
Pattern intends scheduling scheme, carries out the scheduling scheme that Integrated Selection is optimized.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (7)
1. a kind of method of suitable small watershed river multi-water resources water quality and quantity scheduling, it is characterised in that: comprise the following steps that
S1: collect the long series at different adjusting water water sources day by day, water quantity and quality data and rainfall, temperature hydrographic data month by month, meter
Small watershed day, the moon, year Water Requirement are calculated, determines that river need to dispatch water according to Water Requirement and status flow, clearly adjusts
The water quality situation of water water source different year different times；
S2: it is with the underwater topography data information that the small watershed water quality and quantity monitoring data and purchase that obtain in S1 or mapping obtain
Small watershed distributed water power and water quality model are established using EFDC prototype software in basis；
S3: requiring the objective function of setting multi-water resources scheduling Genetic Algorithm Model according to water transfer, specific as follows:
(1) the sum of the water at water source is respectively dispatched:
Wherein, f1--- total water diversion volume；
αi--- the degree of priority at adjusting water water source；
xi--- the flow at adjusting water water source, m3/d；
(2) respectively scheduling pollution of waterhead index meets:
Wherein, m1--- the value up to standard of main contamination index；
N --- the number at adjusting water water source:
bi--- the water quality at adjusting water water source, the i.e. concentration of polluter, g/m3；
A --- the status average value of the main contamination index of small watershed different times；
X --- the flow of small watershed different times, m3/d；
(3) water transfer expense:
Wherein, f2--- water transfer total cost, member；
ci--- the water supply cost coefficient at water transfer water source, member/m3；
S4: it is as follows that constraint condition is further set using Multiobjective Optimal Operation model:
(1) water transfer water source water quantity restraint:
di≤xi≤ei
Wherein, ei--- water transfer water source water maximum value, m3/d；
αi--- water transfer water source water minimum value, m3/d；
(2) water quantity restraint need to be dispatched:
Wherein, δ --- river different year different times need to dispatch water, m3/d；
βi--- the water loss factor at adjusting water water source；
S5: Revised genetic algorithum mathematical model is used, the water transfer water quantity model scheme collection of different year different times is established；
S6: the river under different water transfer water sources allocation plan is simulated using the EFDC distributed water power and water quality model established in S2
The water and change of water quality of stream；
S7: using water quality guarantee and economy as principle, quantization obtains the water correction degree and economic cost of different allocation plans,
Filter out the best water diversion volume of different year different times.
2. the method for suitable small watershed river multi-water resources water quality and quantity scheduling according to claim 1, it is characterised in that: institute
It is as follows to state the establishment process of small watershed distributed water power and water quality model in S2:
S21: establishing model show layers, map is imported EFDC prototype software using Arcgis, then carry out figure layer setting；
S22: simulation context, earth's surface elevation and primary condition setting are defined；
S23: it completes the network of waterways and describes, grid property, including number of grid, full-size, minimum dimension are set:, import long series
Rainfall, temperature, radiation hydrographic data；
S24: the setting of main cross sections underwater topography and drainage basin height difference setting；
S25: the setting of water quality indicator parameter: setting water transfer point of release and waste outlets are generally changed a little；
S26: parameter calibration is carried out using water and water quality measured data.
3. the method for suitable small watershed river multi-water resources water quality and quantity scheduling according to claim 1, it is characterised in that: institute
It is as follows to state Revised genetic algorithum model foundation process in S5:
(1) mode is coded and decoded:
Decimal system real number concatenated coding is selected, by continuous variable discretization when coding, all variables are separated into identical equal portions, is remembered
For N, the variation range of chromosomal gene value is [1, N+1], chromosomal gene value x 'iTo decision variable true value xi, between turn
Change formula are as follows:
(2) initialization of population:
In the Optimal Allocation Model at small watershed multiple target water source constraint condition be lower than 5, using meet constraint condition it is random just
Beginningization, the value for meeting constraint condition is randomly generated in each variable, then the genic value of all variables is pressed minimum character set encoding rule
Then it is encoded into chromosome；
(3) fitness function designs:
According to the type of optimization problem, the fitness function F of individual is found out by certain transformation rule by objective function f (x)
(x)；Specific transformation rule formula is as follows:
In formula, σ is penalty factor, and g (X) is constraint condition expression formula, and target minimization problem takes "+", otherwise takes "-"；
(4) selection of genetic manipulation:
Selecting operation: regular geometry sequencing selection method is used, individual in population is ranked up according to adaptive value, the smaller table of serial number
It is better to show, for select probability P (i): P (i)=q* (1-q) of some individualr-1, q is the optimal probability given of selection in formula, and r is
Serial number, q*=q/ [1- (1-q)p], p is Population Size；
Crossing operation: using nonuniform arithmetical crossover, and crossover probability uses adaptive crossover operator；
Mutation operator: using non-uniform mutation, and mutation probability uses TSP question rate；
(5) for each individual in new parent population, individual goal value is calculated using algorithm in S3；
(6) it is to judge benchmark with individual goal value, judges the superiority and inferiority relationship between each individual, filter out the new parent population
Interior non-bad individual simultaneously updates elite collection；
(7) judge whether to meet the condition of convergence, if reaching the condition of convergence, export elite and integrate as water quality and quantity multiple-objection optimization tune
Degree scheme collection；Otherwise circulation executes step (2) and arrives step (6), when reaching the condition of convergence, terminates to execute.
4. the method for suitable small watershed river multi-water resources water quality and quantity scheduling according to claim 1, it is characterised in that: small
The basin water transfer of setting plan on the way point of release and on the way waste outlets are generally changed a little, to reach the correction of water quality and water.
5. the method for suitable small watershed river multi-water resources water quality and quantity scheduling according to claim 1, it is characterised in that: institute
It states in S3, the water supply cost coefficient c of water transfer in economic goal equationiCalculation are as follows:
ci=Pi+Qi
Wherein, PiFor the water price at water transfer water source；QiThe expense of every cubic meter of water is dispatched for water diversion project.
6. the method for suitable small watershed river multi-water resources water quality and quantity scheduling according to claim 1, it is characterised in that: institute
It states in S4, the water loss factor calculation at adjusting water water source in water quality equation are as follows:
βi=evaporation coefficient Mi+ infiltration coefficient Ni
Wherein: evaporation coefficient MiIt is calculated using the data that hydraulic department provides；
Infiltration coefficient NiTo sample the coefficient for determining that riverbed soil property determines.
7. the method for suitable small watershed river multi-water resources water quality and quantity scheduling according to claim 3, it is characterised in that: institute
State the condition of convergence in step (7) be reach goal condition individual enough, i.e., guarantee different year each period have no less than 2
A scheme alternatives.
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