CN110210710B - Water resource bearing capacity quantization method based on load balancing - Google Patents

Water resource bearing capacity quantization method based on load balancing Download PDF

Info

Publication number
CN110210710B
CN110210710B CN201910370288.4A CN201910370288A CN110210710B CN 110210710 B CN110210710 B CN 110210710B CN 201910370288 A CN201910370288 A CN 201910370288A CN 110210710 B CN110210710 B CN 110210710B
Authority
CN
China
Prior art keywords
water
value
kth
partition
water consumption
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.)
Active
Application number
CN201910370288.4A
Other languages
Chinese (zh)
Other versions
CN110210710A (en
Inventor
董增川
高晓琦
杨光
俞祎波
孙雅茹
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.)
Hohai University HHU
Original Assignee
Hohai University HHU
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 Hohai University HHU filed Critical Hohai University HHU
Priority to CN201910370288.4A priority Critical patent/CN110210710B/en
Publication of CN110210710A publication Critical patent/CN110210710A/en
Application granted granted Critical
Publication of CN110210710B publication Critical patent/CN110210710B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • 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

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a load balancing-based water resource bearing capacity quantification method, which belongs to the technical field of water resource evaluation and management, and establishes a connection among the available water resource amount and water consumption, the COD (chemical oxygen demand) pollution discharge amount and the total COD limit discharge amount and the load balancing of a socioeconomic subsystem and an ecological environment subsystem, so that a load balancing-based water resource bearing capacity quantification model is constructed, a genetic algorithm is adopted to convert multiple targets into single targets in a proper mode to solve the model, and a water resource bearing capacity quantification result is obtained.

Description

Water resource bearing capacity quantization method based on load balancing
Technical Field
The invention belongs to the technical field of water resource evaluation and management, and particularly relates to a water resource bearing capacity quantization method based on load balancing.
Background
The research on the water resource bearing capacity goes through three main stages of conceptual proposal (around 1990), theoretical discussion (1990 to 2000) and method application (2000 to date).
To date, numerous mathematical methods have been applied to the research of water resource bearing capacity, but the requirement of the coordinated development of socioeconomic and ecological environment is not considered in the quantification process. In the field of water resources, the load refers to the pressure caused by the load-bearing object, namely the socioeconomic and ecological environment. On the premise of maintaining sustainable development of social economy and ecological systems, the bearing main body, namely the maximum load borne by the water resource system, is the water resource bearing capacity, and when the actual load of the water resource exceeds the water resource bearing capacity, the water resource system enters an overload state.
In the process of water resource development and utilization, direct contradiction exists between social economy and ecological environment water distribution, so that the development relationship between two systems is coordinated, and the water resource bearing capacity in an equilibrium state is quantized.
Disclosure of Invention
The invention aims to: the invention aims to provide a water resource bearing capacity quantization method based on load balancing, which can embody a sustainable development idea and an ecological idea in the quantization process so as to maximize the overall benefit of a system, so that the obtained water resource bearing capacity quantization result in an equilibrium state is more reasonable and reliable.
The technical scheme is as follows: in order to achieve the above purpose, the present invention provides the following technical solutions:
a water resource bearing capacity quantization method based on load balancing comprises the following steps:
1) Based on a load balancing theory, a water resource system, a social and economic system and an ecological environment system are built to be correlated and restricted with each other to form a water resource bearing power model, and the objective function of the model is respectively determined from three aspects of social scale, economic development and environmental protection;
2) Constraint conditions of the water resource bearing capacity quantization model comprise four aspects of water resource quantity constraint, socioeconomic constraint, water environment constraint and load balancing constraint;
3) After the multi-objective problem of the water resource bearing capacity quantification model is converted into a single-objective problem, a genetic algorithm is adopted to solve the problem, so that the population scale and the socioeconomic development scale which can be borne by the water resource system under different conditions are obtained.
Further, in step 1), the objective function includes:
2.1 Social goal: targeting regional loadable population (POP) max:
Figure BDA0002049707270000021
in the method, in the process of the invention,
Figure BDA0002049707270000022
population for the kth partition;
2.2 Economic goal: targeting regional domestic total production (GDP) max:
Figure BDA0002049707270000023
in the method, in the process of the invention,
Figure BDA0002049707270000024
a domestic production total value for the kth partition;
2.3 Environmental objective): the minimum COD discharge of the regional chemical oxygen demand is taken as the target:
Figure BDA0002049707270000025
in the method, in the process of the invention,
Figure BDA0002049707270000026
COD discharge amount of the kth zone.
Further, in step 2), the water resource amount constraint includes two aspects that the water consumption amount in each partition is not more than the available water resource amount of the unit, and the sum of the water consumption amounts of each user in each partition is not more than the available water resource amount in the area:
the water consumption in each partition does not exceed the available amount constraint of the unit water resource:
T ZHSK ≤T KLYK
wherein T is ZHSK For each partition water consumption, T KLYK The amount of water resource available for the unit.
The sum of the water consumption of each water user in each partition is not more than the water resource availability constraint of the area:
T ZHS ≤T KLY
wherein T is KLY The total available water resource amount; t (T) ZHS Is the total water consumption.
The method for calculating the total available water resource comprises the following steps:
T KLY =T DBS +T DXSRE
wherein T is DBS T is the available amount of surface water resources DXS Delta as the available amount of groundwater resources RE Repeating the amount of the surface water resource and the underground water resource;
the total water consumption calculating method comprises the following steps:
Figure BDA0002049707270000031
in the method, in the process of the invention,
Figure BDA0002049707270000032
rural domestic water consumption for kth zone, </i >>
Figure BDA0002049707270000033
Urban domestic water consumption for the kth partition, < >>
Figure BDA0002049707270000034
For the kth zone-water consumption, -/-, water production>
Figure BDA0002049707270000035
For the k-th partition, water consumption, < >>
Figure BDA0002049707270000036
For the k-th zone, water consumption, three-way production,/->
Figure BDA0002049707270000037
The ecological water consumption outside the river channel of the kth subarea; wherein->
Figure BDA0002049707270000038
Figure BDA0002049707270000039
Water consumption for the k-th partition planting industry,/->
Figure BDA00020497072700000310
For the k-th zone fishery water consumption, < >>
Figure BDA00020497072700000311
Water is consumed for the kth zone animal husbandry.
Further, in step 2), the socioeconomic constraints: including two aspects of industrial structure constraints and people average GDP constraints:
the industrial structure constraint is that the proportion of the industrial production value increment value of each partition to the total GDP value of the area cannot exceed the upper limit and the lower limit:
Figure BDA00020497072700000312
in the method, in the process of the invention,
Figure BDA00020497072700000313
is regional GDP total value,/->
Figure BDA00020497072700000314
Increasing the value of the ith industry production value for the kth partition,/->
Figure BDA00020497072700000315
Increasing the lower limit of the ratio of the value to the value of the i-th industrial production value for the kth partition,/->
Figure BDA00020497072700000316
Increasing the upper limit of the value proportion for the ith industry production value of the kth partition;
the regional GDP total value calculation method comprises the following steps:
Figure BDA00020497072700000317
in the method, in the process of the invention,
Figure BDA00020497072700000318
water consumption for ten thousand yuan per yield for the kth zone, < >>
Figure BDA00020497072700000319
Water consumption for ten thousand yuan production value of k-th partition>
Figure BDA00020497072700000320
The water consumption is ten thousand yuan for the third production of the kth partition;
the people average GDP is restricted, and the people average GDP of each partition is larger than or equal to the lower limit value of the people average GDP:
Figure BDA00020497072700000321
in the method, in the process of the invention,
Figure BDA00020497072700000322
for the total population of the kth partition, A perGDP Is the lower limit value of the average person GDP;
the total population calculation method of the kth partition comprises the following steps:
Figure BDA00020497072700000323
in the method, in the process of the invention,
Figure BDA0002049707270000041
for the k-th partition rural population, +.>
Figure BDA0002049707270000042
For the kth computational unit town population,
Figure BDA0002049707270000043
for the k-th subarea rural people daily water consumption, < >>
Figure BDA0002049707270000044
And daily water consumption is daily used for people in towns in the kth subarea.
Further, in step 2), the water environment is constrained: the total COD discharged by all pollution sources is smaller than the total COD limit discharge:
Figure BDA0002049707270000045
in the method, in the process of the invention,
Figure BDA0002049707270000046
point source emissions for the kth zone, +.>
Figure BDA0002049707270000047
For the k-th subarea non-point source pollution emission quantity, RECOD k The total amount is limited for the kth partition.
The k-th partition point source emission amount calculating method comprises the following steps:
Figure BDA0002049707270000048
wherein:
Figure BDA0002049707270000049
urban domestic water consumption rate for kth computing unit,/->
Figure BDA00020497072700000410
Third industrial water consumption rate for kth computing unit,/->
Figure BDA00020497072700000411
For the kth computing unit, the second industrial water consumption rate, A CLXS Is a sewage treatment coefficient A SHCOD Is COD concentration of town domestic water after sewage treatment, A GYCOD Is the COD concentration of the second industrial water after sewage treatment.
The k-th partition area source pollution emission amount calculating method comprises the following steps:
Figure BDA00020497072700000412
wherein:
Figure BDA00020497072700000413
the average water consumption per mu of the unit planting industry and the average water consumption per mu of the fishery industry are calculated for the kth unit planting industry. A is that ZZYCOD 、A YYCOD 、A XMYCOD 、A NCCOD COD generation coefficients of planting industry, fishery industry, animal husbandry and rural life are respectively A ZZYin 、A YYin 、A XMYin 、A NCSHin The river coefficients of the COD of the planting industry, the fishery industry and the rural life are respectively.
Further, in step 2), the load balancing constraint: the coordination development degree of the social and economic systems and the ecological environment system meets the requirement to ensure the stable development of the whole system.
Figure BDA0002049707270000051
Wherein: c is the degree of coordination, and the value is between 0 and 1; n is an adjustment coefficient, taken as 2 according to the number of the system of the invention; i 1 The method is a coordinated development evaluation index of a social and economic subsystem; i 2 The coordinated development evaluation index of the ecological environment subsystem; c (C) min Is the lowest value of the required coordination level.
Further, in the step 2), the load balancing constraint selects the average-human GDP as a coordinated development evaluation index of the social and economic subsystem of the region, and the average-human GDP is a forward index; and selecting the COD discharge amount of the ten thousand-yuan GDP as a coordinated development evaluation index of an ecological environment subsystem in the region, and taking the COD discharge amount as a negative index.
The method adopts a threshold method to carry out dimensionality removal treatment on the indexes, and respectively reflects the indexes of social economic development and ecological environment conditions, and different formulas are required to be adopted for index standardization; the formula is as follows:
positive indicators, i.e. when the greater the indicator value the better the efficacy,
I i =C i /S i
negative indicators, i.e. when the efficacy is better the smaller the indicator value,
I i =S i /C i
wherein I is i Is the index value of index i, S i Is the standard value of index i, C i Is the actual value of index i.
Further, the coordination in the load balancing constraint can be divided into 5 coordination levels of extremely uncoordinated, barely coordinated, basic coordinated and coordinated according to the magnitude of the value, wherein the coordination level in the extremely uncoordinated level is more than or equal to 0 and less than or equal to 0.49; c is more than or equal to 0.5 and less than or equal to 0.74 in the uncoordinated level; the coordination degree in the marginal coordination grade is more than or equal to 0.75 and less than or equal to 0.84; the coordination degree C in the basic coordination grade is more than or equal to 0.85 and less than or equal to 0.94; the coordination degree C in the coordination grade is more than or equal to 0.95 and less than or equal to 1.
Further, in the step 3), the specific process is as follows:
to achieve the optimal level f for the nth target nbest The corresponding standard value is set to 1, the worst level f nworst And setting the corresponding standard value to be 0.01, and calculating the corresponding standard value by each target according to an interpolation formula:
for social and economic goals, solve the maximization problem:
f' n (x)=f n (x)/f nbest
for an environmental objective solution objective, solving a minimization problem:
f' n (x)=1-f n (x)/f nbest
converting each target into a standard value between 0 and 1, and then converting the multiple targets into a single-target construction fitness function in a weighted summation mode:
Figure BDA0002049707270000061
in the method, in the process of the invention,
Figure BDA0002049707270000062
ρ n and determining the target weight coefficient by adopting an expert consultation method, an analytic hierarchy process and the like.
The beneficial effects are that: compared with the prior art, the water resource bearing capacity quantification method based on the load balancing increases the load balancing constraint when a model is built, introduces the load balancing into the water resource research field, considers the coordination and balanced development of a social and economic system and an ecological environment system, can embody the sustainable development concept and the ecological concept in the quantification process, is consistent with the primary principle based on the water resource bearing capacity research institute, namely requires the coordination development of economy, society, resource and environmental protection so as to maintain the load balancing, and has stronger practicability and wide applicability.
Detailed Description
The invention will be further described with reference to specific examples.
According to the water resource bearing capacity quantization method based on load balancing, provided by the invention, the maximum bearing population, the maximum GDP and the minimum COD discharge are selected as objective functions, model constraint conditions are established from four aspects of water resource quantity, social economy, water environment and load balancing, and a multi-target water resource bearing capacity quantization model based on load balancing is established by utilizing the relation of the water consumption of each water department and the available water resource quantity of a watershed, the pollution discharge quantity and the total limit discharge quantity of each water department and the load balancing constraint of a social economy subsystem and an ecological environment subsystem, and solving the model by adopting a genetic algorithm.
The load balancing constraint selects the average-human GDP as a coordinated development evaluation index of the social and economic subsystem of the region, and the average-human GDP is a forward index; and selecting the COD discharge amount of the ten thousand-yuan GDP as a coordinated development evaluation index of an ecological environment subsystem in the region, and taking the COD discharge amount as a negative index.
A water resource bearing capacity quantization method based on load balancing comprises the following steps:
1) Based on a load balancing theory, a water resource system, a social and economic system and an ecological environment system are built to be correlated and restricted with each other to form a water resource bearing power model, and the objective function of the model is respectively determined from three aspects of social scale, economic development and environmental protection;
2) Constraint conditions of the water resource bearing capacity quantization model comprise four aspects of water resource quantity constraint, socioeconomic constraint, water environment constraint and load balancing constraint;
3) After the multi-objective problem of the water resource bearing capacity quantification model is converted into a single-objective problem, a genetic algorithm is adopted to solve the problem, so that the population scale and the socioeconomic development scale which can be borne by the water resource system under different conditions are obtained.
Step 1) determining an objective function from three aspects, respectively, comprising:
2.1 Social goal: targeting regional loadable population (POP) max:
Figure BDA0002049707270000071
in the method, in the process of the invention,
Figure BDA0002049707270000072
population for the kth partition;
2.2 Economic goal: targeting regional domestic total production (GDP) max:
Figure BDA0002049707270000073
in the method, in the process of the invention,
Figure BDA0002049707270000074
a domestic production total value for the kth partition;
2.3 Environmental objective): the minimum COD discharge of the regional chemical oxygen demand is taken as the target:
Figure BDA0002049707270000075
in the method, in the process of the invention,
Figure BDA0002049707270000076
COD discharge amount of the kth zone.
In the step 2), the constraint of the water resource quantity comprises two aspects that the water consumption in each partition is not more than the available water resource quantity of the unit, and the sum of the water consumption of each water user in each partition is not more than the available water resource quantity in the area:
the water consumption in each partition does not exceed the water resource availability constraint of the unit:
T ZHSK ≤T KLYK
wherein T is ZHSK For each partition water consumption, T KLYK The amount of water resource available for the unit.
The sum of the water consumption of each water user in each partition is not more than the water resource availability constraint of the area:
T ZHS ≤T KLY
wherein T is KLY The total available water resource amount; t (T) ZHS Is the total water consumption.
The method for calculating the total available water resource comprises the following steps:
T KLY =T DBS +T DXSRE
wherein T is DBS T is the available amount of surface water resources DXS Delta as the available amount of groundwater resources RE Repeating the amount of the surface water resource and the underground water resource;
the total water consumption calculating method comprises the following steps:
Figure BDA0002049707270000081
in the method, in the process of the invention,
Figure BDA0002049707270000082
rural domestic water consumption for kth zone, </i >>
Figure BDA0002049707270000083
Urban domestic water consumption for the kth partition, < >>
Figure BDA0002049707270000084
For the kth zone-water consumption, -/-, water production>
Figure BDA0002049707270000085
For the k-th partition, water consumption, < >>
Figure BDA0002049707270000086
For the k-th zone, water consumption, three-way production,/->
Figure BDA0002049707270000087
The ecological water consumption outside the river channel of the kth subarea; wherein->
Figure BDA0002049707270000088
Figure BDA0002049707270000089
Water consumption for the k-th partition planting industry,/->
Figure BDA00020497072700000810
For the k-th zone fishery water consumption, < >>
Figure BDA00020497072700000811
Water is consumed for the kth zone animal husbandry.
In step 2), socioeconomic constraints: including two aspects of industrial structure constraints and people average GDP constraints:
the constraint of the industrial structure is that the proportion of the increased value of each industrial production value of each partition to the total value of GDP in the area cannot exceed the upper limit and the lower limit of the GDP:
Figure BDA00020497072700000812
in the method, in the process of the invention,
Figure BDA00020497072700000813
is regional GDP total value,/->
Figure BDA00020497072700000814
Increasing the value of the ith industry production value for the kth partition,/->
Figure BDA00020497072700000815
Increasing the lower limit of the ratio of the value to the value of the i-th industrial production value for the kth partition,/->
Figure BDA00020497072700000816
Increasing the upper limit of the value proportion for the ith industry production value of the kth partition;
the regional GDP total value calculating method comprises the following steps:
Figure BDA00020497072700000817
in the method, in the process of the invention,
Figure BDA00020497072700000818
water consumption for ten thousand yuan per yield for the kth zone, < >>
Figure BDA00020497072700000819
Water consumption for ten thousand yuan production value of k-th partition>
Figure BDA00020497072700000820
The water consumption is ten thousand yuan for the third production of the kth partition;
and the people average GDP is restricted, and the people average GDP of each partition is larger than or equal to the lower limit value of the people average GDP:
Figure BDA00020497072700000821
in the method, in the process of the invention,
Figure BDA00020497072700000822
for the total population of the kth partition, A perGDP Under GDP for people's averageA limit value;
the total population calculation method of the kth partition is as follows:
Figure BDA0002049707270000091
in the method, in the process of the invention,
Figure BDA0002049707270000092
for the k-th partition rural population, +.>
Figure BDA0002049707270000093
For the kth computational unit town population,
Figure BDA0002049707270000094
for the k-th subarea rural people daily water consumption, < >>
Figure BDA0002049707270000095
And daily water consumption is daily used for people in towns in the kth subarea.
In step 2), water environment constraint: the total COD discharged by all pollution sources is smaller than the total COD limit discharge:
Figure BDA0002049707270000096
in the method, in the process of the invention,
Figure BDA0002049707270000097
point source emissions for the kth zone, +.>
Figure BDA0002049707270000098
For the k-th subarea non-point source pollution emission quantity, RECOD k The total amount is limited for the kth partition.
The k-th partition point source emission amount calculating method comprises the following steps:
Figure BDA0002049707270000099
wherein:
Figure BDA00020497072700000910
urban domestic water consumption rate for kth computing unit,/->
Figure BDA00020497072700000911
Third industrial water consumption rate for kth computing unit,/->
Figure BDA00020497072700000912
For the kth computing unit, the second industrial water consumption rate, A CLXS Is a sewage treatment coefficient A SHCOD Is COD concentration of town domestic water after sewage treatment, A GYCOD Is the COD concentration of the second industrial water after sewage treatment.
The k-th partition area source pollution emission amount calculating method comprises the following steps:
Figure BDA00020497072700000913
wherein:
Figure BDA00020497072700000914
the average water consumption per mu of the unit planting industry and the average water consumption per mu of the fishery industry are calculated for the kth unit planting industry. A is that ZZYCOD 、A YYCOD 、A XMYCOD 、A NCCOD COD generation coefficients of planting industry, fishery industry, animal husbandry and rural life are respectively A ZZYin 、A YYin 、A XMYin 、A NCSHin The river coefficients of the COD of the planting industry, the fishery industry and the rural life are respectively.
In step 2), the load balancing constraint: the coordination development degree of the social and economic systems and the ecological environment system meets the requirement to ensure the stable development of the whole system.
Figure BDA0002049707270000101
Wherein: c is the degree of coordination, and the value is between 0 and 1; n is an adjustment coefficient, taken as 2 according to the number of the system of the invention; i 1 The method is a coordinated development evaluation index of a social and economic subsystem; i 2 The coordinated development evaluation index of the ecological environment subsystem; c (C) min Is the lowest value of the required coordination level.
In the step 2), the average-human GDP is selected from the load balancing constraint as a coordinated development evaluation index of the social and economic subsystem in the region, and the coordinated development evaluation index is a forward index; and selecting the COD discharge amount of the ten thousand-yuan GDP as a coordinated development evaluation index of an ecological environment subsystem in the region, and taking the COD discharge amount as a negative index.
The method adopts a threshold method to carry out dimensionality removal treatment on the indexes, and respectively reflects the indexes of social economic development and ecological environment conditions, and different formulas are required to be adopted for index standardization; the formula is as follows:
positive indicators, i.e. when the greater the indicator value the better the efficacy,
I i =C i /S i
negative indicators, i.e. when the efficacy is better the smaller the indicator value,
I i =S i /C i
wherein I is i Is the index value of index i, S i Is the standard value of index i, C i Is the actual value of index i.
The coordination in the load balancing constraint can be divided into 5 coordination levels of extremely uncoordinated, barely coordinated, basic coordinated and coordinated according to the magnitude of the value, wherein the coordination level in the extremely uncoordinated level is more than or equal to 0 and less than or equal to 0.49; c is more than or equal to 0.5 and less than or equal to 0.74 in the uncoordinated level; the coordination degree in the marginal coordination grade is more than or equal to 0.75 and less than or equal to 0.84; the coordination degree C in the basic coordination grade is more than or equal to 0.85 and less than or equal to 0.94; the coordination degree C in the coordination grade is more than or equal to 0.95 and less than or equal to 1.
In step 3), the specific process is as follows:
to achieve the optimal level f for the nth target nbest The corresponding standard value is set to 1, the worst level f nworst The corresponding standard value is set to 0.01, thenStandard values corresponding to the interpolation formula are calculated:
for social and economic goals, solve the maximization problem:
f' n (x)=f n (x)/f nbest
for an environmental objective solution objective, solving a minimization problem:
f' n (x)=1-f n (x)/f nbest
converting each target into a standard value between 0 and 1, and then converting the multiple targets into a single-target construction fitness function in a weighted summation mode:
Figure BDA0002049707270000111
in the method, in the process of the invention,
Figure BDA0002049707270000112
ρ n the target weight coefficient can be determined by adopting an expert consultation method, a hierarchical analysis method and the like.
Examples
Step 1, assume a region with 5 sub-regions, each of which is partition 1-5. In this embodiment, the current 2015 year, the recent planning year 2020 and the long-term planning year 2030 are selected to reflect different historical periods and characteristics of bearing capacity of water resources under socioeconomic development, and meanwhile, the influences of the available water resources on bearing capacity of water resources of each planning year are considered under different incoming water frequencies of 50% and 75%, so that 6 scenario schemes are set in total, as shown in table 1.
Table 1 scenario set table
Figure BDA0002049707270000113
And 2, calculating and determining constraint condition parameters such as regional water resource availability, daily life water consumption of towns and villages in each partition, water consumption of increment value of each industry ten thousand yuan, upper and lower limits of development proportion, water consumption rate of each water department, unit scale water consumption of each horizontal year planting industry, fishery and animal husbandry, relevant parameters of point and surface source pollution, total COD limit discharge of each partition and the like, and the constraint condition parameters are shown in tables 2-13.
TABLE 2 total amount of Water resource availability
Figure BDA0002049707270000121
TABLE 3 daily Water consumption for urban and rural people
Figure BDA0002049707270000122
Table 4 increases the water consumption by each of the industrial ten thousand yuan
Figure BDA0002049707270000123
TABLE 5 upper limit of the industrial development ratio
Figure BDA0002049707270000124
TABLE 6 lower limit of the development ratio of industries
Figure BDA0002049707270000131
TABLE 7 Water consumption rates of Water departments
Figure BDA0002049707270000132
Table 8 Water consumption per unit of animal husbandry in 2015
Figure BDA0002049707270000133
Table 9 Water consumption per unit of the plant, fishery and animal husbandry in 2020
Figure BDA0002049707270000134
Table 10 2030 represents the water consumption per unit scale of the plantation, fishery and animal husbandry
Figure BDA0002049707270000141
TABLE 11 Point Source pollution related parameters
Figure BDA0002049707270000142
TABLE 12 parameters related to surface source pollution
Figure BDA0002049707270000143
Table 13 COD limit discharge Total amount of each partition
Figure BDA0002049707270000144
And 3, determining parameters of the load balancing constraint as follows:
the standard value of the average human GDP in 2015 is determined as an average human GDP value 49680 yuan/person corresponding to the basic modernization level of social and economic development, and the standard values of the average human GDP in 2020 and 2030 are respectively determined as 80848 yuan/person and 115613 yuan/person. COD discharge amount of the ten thousand-membered GDP was determined to be 0.4kg, 0.36kg and 0.24kg as standard values in 2015, 2020 and 2030.
In addition, the present embodiment uses a "basic coordination" level achieved by 0.85 or more as a condition for satisfying load balancing, i.e., C min Take 0.85.
And 4, in the fitness function construction, each target weight coefficient in the embodiment is 1/3.
And 5, carrying out solution on the parameters in the model, wherein the calculation result is shown in a table 14.
Table 14 water resource load bearing capability calculation results table
Figure BDA0002049707270000151
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be appreciated by persons skilled in the art that the above embodiments are not intended to limit the invention in any way, and that all technical solutions obtained by means of equivalent substitutions or equivalent transformations fall within the scope of the invention.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (2)

1. A water resource bearing capacity quantization method based on load balancing is characterized by comprising the following steps: the method comprises the following steps:
1) Based on a load balancing theory, establishing a water resource system, a social and economic system and an ecological environment system interrelated and restrained water resource bearing strengthening model, and respectively determining an objective function of the model from three aspects of social scale, economic development and environmental protection;
2) Constraint conditions of the water resource bearing capacity quantization model comprise four aspects of water resource quantity constraint, socioeconomic constraint, water environment constraint and load balancing constraint;
3) After converting the multi-objective problem of the water resource bearing capacity quantification model into a single-objective problem, solving by adopting a genetic algorithm, thereby obtaining the population scale and the socioeconomic development scale which can be borne by the water resource system under different conditions;
step 1), the objective function includes:
1.1 Social goal: targeting regional loadable population values maximum:
Figure FDA0004221023060000011
in the method, in the process of the invention,
Figure FDA0004221023060000012
total population for the kth partition;
1.2 Economic goal: the maximum production total value in the country is as follows:
Figure FDA0004221023060000013
in the method, in the process of the invention,
Figure FDA0004221023060000014
a domestic production total value for the kth partition;
1.3 Environmental objective): targeting the minimum emission of regional chemical oxygen demand:
Figure FDA0004221023060000015
in the method, in the process of the invention,
Figure FDA0004221023060000016
COD discharge amount of the kth zone;
in the step 2), the water resource quantity constraint comprises two aspects that the water consumption in each partition is not more than the available unit water resource quantity and the sum of the water consumption of each water user in each partition is not more than the available area water resource quantity:
the internal water consumption of each partition is not more than the constraint of the available unit water resource:
T ZHSK ≤T KLYK
wherein T is ZHSK Inside each partitionConsumption of water, T KLYK The available amount of unit water resources;
the sum of the water consumption of each water user in each partition is not greater than the constraint of the available water resource in the area:
T ZHS ≤T KLY
wherein T is KLY The total available water resource amount; t (T) ZHS Is the total water consumption;
the method for calculating the total available water resource comprises the following steps:
T KLY =T DBS +T DXSRE
wherein T is DBS T is the available amount of surface water resources DXS Delta as the available amount of groundwater resources RE Repeating the amount of the surface water resource and the underground water resource;
the total water consumption calculating method comprises the following steps:
Figure FDA0004221023060000021
in the method, in the process of the invention,
Figure FDA0004221023060000022
rural domestic water consumption for kth zone, </i >>
Figure FDA0004221023060000023
Is town domestic water consumption of the kth subarea,
Figure FDA0004221023060000024
for the kth zone-water consumption, -/-, water production>
Figure FDA0004221023060000025
For the k-th partition, water consumption, < >>
Figure FDA0004221023060000026
For the k-th zone three-producing water consumption,
Figure FDA0004221023060000027
the ecological water consumption outside the river channel of the kth subarea; wherein->
Figure FDA0004221023060000028
Figure FDA0004221023060000029
Water consumption for the k-th partition planting industry,/->
Figure FDA00042210230600000210
For the k-th zone fishery water consumption, < >>
Figure FDA00042210230600000211
Water is consumed for the kth subarea animal husbandry;
in the step 2), the socioeconomic constraint comprises two aspects of industrial structure constraint and people average GDP constraint:
the industrial structure constraint is that the ratio of the increased value of each industrial production value of each partition to the total domestic production value of the area cannot exceed the upper limit and the lower limit of the increased value:
Figure FDA00042210230600000212
in the method, in the process of the invention,
Figure FDA00042210230600000213
total domestic production value for kth partition, < >>
Figure FDA00042210230600000214
Increasing the value of the ith industry production value for the kth partition,/->
Figure FDA00042210230600000215
Increasing the lower limit of the ratio of the value to the value of the i-th industrial production value for the kth partition,/->
Figure FDA00042210230600000216
Increasing the upper limit of the value proportion for the ith industry production value of the kth partition;
the method for calculating the domestic production total value of the kth partition comprises the following steps:
Figure FDA00042210230600000217
in the method, in the process of the invention,
Figure FDA00042210230600000218
water consumption for ten thousand yuan per yield for the kth zone, < >>
Figure FDA00042210230600000219
The water consumption is ten thousand yuan for the k-th partition,
Figure FDA00042210230600000220
the water consumption is ten thousand yuan for the third production of the kth partition;
the people average GDP is restricted, and the people average GDP of each partition is larger than or equal to the lower limit value of the people average GDP:
Figure FDA00042210230600000221
in the method, in the process of the invention,
Figure FDA00042210230600000222
for the total population of the kth partition, A perGDP Is the lower limit value of the average person GDP;
the total population calculation method of the kth partition comprises the following steps:
Figure FDA0004221023060000031
in the method, in the process of the invention,
Figure FDA0004221023060000032
for the k-th partition rural population, +.>
Figure FDA0004221023060000033
Town population for kth computing unit, < ->
Figure FDA0004221023060000034
For the k-th subarea rural people daily water consumption, < >>
Figure FDA0004221023060000035
Daily water consumption for people in towns in the kth subarea;
in step 2), the water environment constraint: the total COD discharged by all pollution sources is less than or equal to the total COD limit discharge:
Figure FDA0004221023060000036
in the method, in the process of the invention,
Figure FDA0004221023060000037
point source emissions for the kth zone, +.>
Figure FDA0004221023060000038
For the k-th subarea non-point source pollution emission quantity, RECOD k The total COD of the kth subarea is limited;
the k-th partition point source emission amount calculating method comprises the following steps:
Figure FDA0004221023060000039
wherein:
Figure FDA00042210230600000310
urban domestic water consumption for kth computing unitRate of->
Figure FDA00042210230600000311
A third industrial water consumption rate for the kth computing unit,
Figure FDA00042210230600000312
for the kth computing unit, the second industrial water consumption rate, A CLXS Is a sewage treatment coefficient A SHCOD Is COD concentration of town domestic water after sewage treatment, A GYCOD COD concentration of the second industrial water after sewage treatment;
the k-th partition area source pollution emission amount calculating method comprises the following steps:
Figure FDA00042210230600000313
wherein:
Figure FDA00042210230600000314
calculating the per mu water consumption of the unit planting industry, the per mu water consumption of the fishery industry and the water consumption of the unit livestock for the kth calculation unit planting industry; a is that ZZYCOD 、A YYCOD 、A XMYCOD 、A NCCOD COD generation coefficients of planting industry, fishery industry, animal husbandry and rural life are respectively A ZZYin 、A YYin 、A XMYin 、A NCSHin The river coefficients of the COD of the rural life are respectively the planting industry, the fishery industry, the animal husbandry and the planting industry;
in step 2), the load balancing constraint: the coordination degree of the social and economic system and the ecological environment system meets the requirement when the load balancing constraint is met, so that the stable development of the whole system is ensured;
Figure FDA00042210230600000315
wherein: c is the degree of coordination, and the value is between 0 and 1; n is an adjustment coefficient; i 1 Evaluation for coordinated development of socioeconomic subsystemsA price index; i 2 The coordinated development evaluation index of the ecological environment subsystem; c (C) min The lowest value of the coordination level is required to be reached;
the load balancing constraint selects the average-human GDP as a coordinated development evaluation index of the regional socioeconomic subsystem, and the average-human GDP is a forward index; the COD emission of the ten thousand-yuan GDP is selected as a coordinated development evaluation index of an ecological environment subsystem in the region and is a negative index; performing dimensionality removal treatment on the indexes by adopting a threshold value method, respectively reflecting the indexes of the social economic development and the ecological environment condition, and performing index standardization by adopting different formulas, wherein the formulas are as follows:
positive indicators, i.e. when the greater the indicator value the better the efficacy,
I i =C i /S i
negative indicators, i.e. when the efficacy is better the smaller the indicator value,
I i =S i /C i
wherein I is i Is the index value of index i, S i Is the standard value of index i, C i Is the actual value of index i;
the coordination degree in the load balancing constraint is divided into 5 coordination levels of extremely uncoordinated, barely coordinated, basic coordinated and coordinated according to the magnitude of the value, wherein the coordination degree in the extremely uncoordinated level is more than or equal to 0 and less than or equal to 0.49; c is more than or equal to 0.5 and less than or equal to 0.74 in the uncoordinated level; the coordination degree in the marginal coordination grade is more than or equal to 0.75 and less than or equal to 0.84; the coordination degree C in the basic coordination grade is more than or equal to 0.85 and less than or equal to 0.94; the coordination degree C in the coordination grade is more than or equal to 0.95 and less than or equal to 1.
2. The method for quantifying water resource load bearing capacity based on load balancing according to claim 1, wherein: in the step 3), the specific processing is as follows:
to achieve the optimal level f for the nth target nbest The corresponding standard value is set to 1, the worst level f nworst And setting the corresponding standard value to be 0.01, and calculating the corresponding standard value by each target according to an interpolation formula:
for social and economic goals, solve the maximization problem:
f′ n (x)=f n (x)/f nbest
for an environmental objective solution objective, solving a minimization problem:
f′ n (x)=1-f n (x)/f nbest
converting each target into a standard value between 0 and 1, and then converting the multiple targets into a single-target construction fitness function in a weighted summation mode:
Figure FDA0004221023060000041
in the method, in the process of the invention,
Figure FDA0004221023060000042
ρ n is the target weight coefficient.
CN201910370288.4A 2019-05-06 2019-05-06 Water resource bearing capacity quantization method based on load balancing Active CN110210710B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910370288.4A CN110210710B (en) 2019-05-06 2019-05-06 Water resource bearing capacity quantization method based on load balancing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910370288.4A CN110210710B (en) 2019-05-06 2019-05-06 Water resource bearing capacity quantization method based on load balancing

Publications (2)

Publication Number Publication Date
CN110210710A CN110210710A (en) 2019-09-06
CN110210710B true CN110210710B (en) 2023-06-27

Family

ID=67786854

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910370288.4A Active CN110210710B (en) 2019-05-06 2019-05-06 Water resource bearing capacity quantization method based on load balancing

Country Status (1)

Country Link
CN (1) CN110210710B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111738554B (en) * 2020-05-25 2024-01-19 华北水利水电大学 Water consumption-based mountain water Lin Tianhu grass balanced water resource allocation method for each system
CN112465206B (en) * 2020-11-20 2023-01-20 广东工业大学 Water resource optimization configuration and optimization result evaluation feedback method
CN112966902B (en) * 2021-02-04 2022-05-17 长江勘测规划设计研究有限责任公司 Water pollution load distribution method considering region fairness and pollution source treatment difference
CN112966866A (en) * 2021-03-05 2021-06-15 长春工程学院 Water resource bearing capacity evaluation method based on optimized configuration
CN113343413B (en) * 2021-04-22 2023-06-30 中国环境科学研究院 Water environment bearing capacity evaluation method, device, equipment and medium
CN113344440B (en) * 2021-06-30 2023-05-23 西北农林科技大学 Construction method of underground water bearing capacity assessment model

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105930954A (en) * 2016-04-08 2016-09-07 中国水利水电科学研究院 Three-layer risk assessment-based drought disaster risk coping method
CN109377089A (en) * 2018-11-20 2019-02-22 河海大学 A kind of evaluation method of the water resource loaded state based on coordinated development degree
CN109657933A (en) * 2018-11-29 2019-04-19 河海大学 A kind of regional water resources environment loaded state method for early warning
CN109670679A (en) * 2018-11-29 2019-04-23 河海大学 Six grades of water resource loaded state method for early warning of three classes based on Variable Fuzzy method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105930954A (en) * 2016-04-08 2016-09-07 中国水利水电科学研究院 Three-layer risk assessment-based drought disaster risk coping method
CN109377089A (en) * 2018-11-20 2019-02-22 河海大学 A kind of evaluation method of the water resource loaded state based on coordinated development degree
CN109657933A (en) * 2018-11-29 2019-04-19 河海大学 A kind of regional water resources environment loaded state method for early warning
CN109670679A (en) * 2018-11-29 2019-04-23 河海大学 Six grades of water resource loaded state method for early warning of three classes based on Variable Fuzzy method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
基于多层次模糊综合评判法的南宁市水资源承载能力现状评价;熊健;《中国优秀硕士学位论文全文数据库工程科技II辑》;20190115;第42-50页 *
水资源配置对水资源承载能力影响研究;俞祎波等;《人民黄河》;20180731;正文第19-23、26页 *
熊健.基于多层次模糊综合评判法的南宁市水资源承载能力现状评价.《中国优秀硕士学位论文全文数据库工程科技II辑》.2019, *

Also Published As

Publication number Publication date
CN110210710A (en) 2019-09-06

Similar Documents

Publication Publication Date Title
CN110210710B (en) Water resource bearing capacity quantization method based on load balancing
CN107301472A (en) Distributed photovoltaic planing method based on scene analysis method and voltage-regulation strategy
Jin-Yan et al. Water resources allocation model based on ecological priority in the arid region
CN106410781B (en) A kind of power consumer demand response Potential Determining Method
Yang et al. Benefit evaluation of East Route Project of South to North Water Transfer based on trapezoid cloud model
CN109214095A (en) Electric car charge and discharge Multiobjective Optimal Operation method
CN109598408B (en) Annual water quantity scheduling plan compilation method considering water use fairness and importance
CN111092451B (en) Photovoltaic consumption early warning method based on power distribution network grid
CN108649556A (en) A kind of electric network emergency scene random optimization dispatching method
Lin et al. Comparative analysis of environmental carrying capacity of the Bohai Sea Rim area in China
Yan et al. Evaluation and prediction of water resources carrying capacity in Jiangsu Province, China
CN108879659A (en) A kind of evaluation method of elasticity power distribution network flexibility
CN111428970A (en) Large-scale hydropower station group trans-provincial delivery capacity analysis model and solving method
CN104134102B (en) Long-term electricity needs distribution forecasting method in power network based on LEAP models
Song et al. Optimal water allocation scheme in integrated water-ecosystem-economy system
CN113240330A (en) Multi-dimensional value evaluation method and scheduling strategy for demand side virtual power plant
CN110310035A (en) Active distribution network integrated evaluating method, device and storage medium
CN114677064B (en) Cascade reservoir scheduling decision support method coupling optimality and stability
Bai et al. Allocating total emission pollutant control based on water environmental carrying capacity: model establishment and case study
CN115293644A (en) Hybrid time scale hydrogen-electricity combined energy storage system planning method and system
CN115239117A (en) Classification and feature selection method based on multi-objective optimization
CN114297913A (en) Mining area water resource allocation method based on multi-objective optimization
CN114493227A (en) New energy scheduling evaluation method and medium based on colluding fuzzy-TOPSIS
CN109255102B (en) Photovoltaic power generation maximum grid-connected capacity evaluation method based on convex relaxation
Lin et al. Conception and evaluation methodology of water resources carrying capacity based on three-level analysis

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant