CN107423504A - Based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation - Google Patents
Based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation Download PDFInfo
- Publication number
- CN107423504A CN107423504A CN201710599917.1A CN201710599917A CN107423504A CN 107423504 A CN107423504 A CN 107423504A CN 201710599917 A CN201710599917 A CN 201710599917A CN 107423504 A CN107423504 A CN 107423504A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msubsup
- msub
- prime
- index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000011156 evaluation Methods 0.000 title claims abstract description 31
- 238000007596 consolidation process Methods 0.000 claims abstract description 44
- 239000002131 composite material Substances 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000005192 partition Methods 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 32
- 238000010606 normalization Methods 0.000 claims description 12
- 238000013210 evaluation model Methods 0.000 claims description 4
- 230000006872 improvement Effects 0.000 claims description 2
- 239000000203 mixture Substances 0.000 claims description 2
- 238000009826 distribution Methods 0.000 abstract description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 13
- 238000002347 injection Methods 0.000 description 11
- 239000007924 injection Substances 0.000 description 11
- 238000013316 zoning Methods 0.000 description 4
- 241001070947 Fagus Species 0.000 description 3
- 235000010099 Fagus sylvatica Nutrition 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- 238000012876 topography Methods 0.000 description 2
- 230000001131 transforming effect Effects 0.000 description 2
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 description 1
- FGRBYDKOBBBPOI-UHFFFAOYSA-N 10,10-dioxo-2-[4-(N-phenylanilino)phenyl]thioxanthen-9-one Chemical compound O=C1c2ccccc2S(=O)(=O)c2ccc(cc12)-c1ccc(cc1)N(c1ccccc1)c1ccccc1 FGRBYDKOBBBPOI-UHFFFAOYSA-N 0.000 description 1
- TVEXGJYMHHTVKP-UHFFFAOYSA-N 6-oxabicyclo[3.2.1]oct-3-en-7-one Chemical compound C1C2C(=O)OC1C=CC2 TVEXGJYMHHTVKP-UHFFFAOYSA-N 0.000 description 1
- 240000004528 Catalpa ovata Species 0.000 description 1
- 235000010005 Catalpa ovata Nutrition 0.000 description 1
- 241000288027 Chrysolophus pictus Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000009418 renovation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Geometry (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Primary Health Care (AREA)
- General Engineering & Computer Science (AREA)
- Marine Sciences & Fisheries (AREA)
- Animal Husbandry (AREA)
- Agronomy & Crop Science (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Pharmaceuticals Containing Other Organic And Inorganic Compounds (AREA)
Abstract
The invention discloses a kind of based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation, establish hilly area exploiting potential for arable land model, propose improved FAHP Entropy enabling legislations simultaneously, and after using compatibility verifying its superiority, hilly area Evaluation of Land Readjustment Potentiality model measure layer index weights are calculated, and Cultivated Land Consolidation Potential composite index is have studied from comprehensive evaluation.The present invention enters row interpolation classification to Arable Land Potential composite index using Arcgis softwares simultaneously, draws the distribution situation of Arable Land Potential grade in Yanting administrative region;Matlab software building Arable Land Potential three-dimensional DEM models are used by foundation of Cultivated Land Consolidation Potential composite index, and analysis of partition are carried out in four principal directions based on three-dimensional DEM models.Finally on the basis of the classification of Arcgis composite indexes interpolation, the analysis of Arable Land Potential three-dimensional DEM model facetizations etc., arrange exploitation for hilly area Reserved Cultivated Land Resources and provide theory support.
Description
Technical field
The invention belongs to Evaluation of Land Readjustment Potentiality technical field, and in particular to a kind of to be ploughed based on the hilly area for improving enabling legislation
The design of ground Consolidation Potential method.
Background technology
Since reform and opening-up, economy is advanced by leaps and bounds, and China turns into second-biggest-in-the-world economy, not while economic development
It is disconnected to corrode, damage and take the resistance to arable land with existence.It is especially regional in Southwestern China, because of topography and geomorphology and the limit of natural conditions
System, originally available to be extremely limited with the high quantity of cultivated land of yield, the constantly flat cultivated land resource of extruding landform is expanded again in city.
Therefore southwestern knob Cultivated Land Consolidation Potential Selection Method is studied, formulating southwest grain security decision-making to science has weight
Want practical guided significance.
In Evaluation of Land Readjustment Potentiality research, existing method has:(1) comprehensive benefit evaluation of land consolidation is built
System, using the weight of analytic hierarchy process (AHP) (AHP) evaluation index, Land Consolidation Project is studied.(2) city-building is established
Land used renovates Potential Evaluation model, is quantified using Fuzzy AHP (FAHP) and GIS, qualitatively carries out Urban Construction Land_use
Renovate Potential Evaluation.(3) on the basis of Cultivated Land Consolidation Potential analysis indexes system is built, with reference to entropy assessment (Entropy) and
Comprehensive evaluation is evaluated Cultivated Land Consolidation Potential.(4) commented in the endogenous variable and exogenous variable for establishing influence Arable Land Potential
On the basis of valency index system, ask rule layer index weights and Entropy to seek measure layer index weights using AHP, it is whole to inquire into soil
Potentiality are managed, provide following Arable Land Consolidation suggestion.
In other evaluation methods, in addition to:(1) AHP-Entropy enabling legislations, AHP-Entropy enabling legislations are by AHP
For solving the subjective weight of rule layer and measure layer, Entropy solves the objective weight of measure layer, then solves AHP
Measure layer weight and Entropy solve measure layer weight carries out simple combination and obtains measure layer comprehensive weight, finally AHP is solved
Rule layer subjectivity weight and comprehensive weight be combined to obtain measure layer final weight.(2) improved AHP-Entropy assign power
Method, improved AHP-Entropy enabling legislations can preferably hold the important journey of rule layer relative to AHP-Entropy enabling legislations
Degree and order, take into full account dominating role of the measure layer to equal rule layer, with entering using the Studies on Index Selections result of Entropy methods
Row comparative analysis, it was demonstrated that superiority, the robustness of improved AHP-Entropy enabling legislations.(3) FAHP-Entropy enabling legislations,
FAHP is used to solve measure layer and rule layer subjectivity weight, Entropy is used for the objective weight for solving measure layer, seeks FAHP
The measure layer subjectivity weight of solution is combined to obtain measure layer complex weight with the Entropy measure layer objective weights solved, finally
By FAHP rule layer weight and the complex weights solved be combined measure layer final weight, this method do not consider same criterion
The contact between measure layer under layer, it is isolated to treat as between the index in layer.
The content of the invention
The invention aims to solve existing Evaluation of Land Readjustment Potentiality method not considering under same rule layer
Contact between measure layer, the problem of compatibility is not high, it is proposed that a kind of based on the hilly area for improving FAHP-Entropy enabling legislations
Evaluation of Land Readjustment Potentiality method.
The technical scheme is that:It is including following based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation
Step:
S1, hilly area exploiting potential for arable land model is established according to regional arable land situation to be evaluated, the evaluation model includes one
Individual destination layer, m rule layer and l measure layer, wherein 1≤l≤m;
S2, measure layer index weights C={ θ are calculated using Entropy enabling legislations1,θ2,...,θl};
S3, rule layer index weights A={ β are calculated using FAHP enabling legislations1,β2,...,βmAnd measure layer index power
Weight B={ χ1,χ2,...,χl};
S4, weight A, B, the C being calculated according to step S2-S3, calculated using FAHP-Entropy enabling legislations are improved
To final weight η={ ω of measure layer index1,ω2,...,ωl};
S5, according to final weight η, regional Cultivated Land Consolidation Potential synthesis to be evaluated is calculated using comprehensive evaluation and referred to
Number, and be ranked up;
S6, enter row interpolation classification to regional Cultivated Land Consolidation Potential composite index to be evaluated using Arcgis softwares;
S7, regional Arable Land Potential three-dimensional DEM models to be evaluated are established using Matlab softwares, and carry out analysis of partition;
S8, combining step S6 Arcgis composite index interpolation classification results and step S7 potentiality three-dimensional DEM models
Analysis of partition result, comprehensive sub-areas suggestion is provided to regional Cultivated Land Consolidation Potential to be evaluated.
Wherein, step S4 specifically include it is following step by step:
S41, the measure layer that measure layer index weights B and the Entropy enabling legislation that FAHP enabling legislations are calculated is calculated referred to
Mark weight C and carry out integrated treatment, obtain measure layer index comprehensive weightWherein
S42, the corresponding relation according to measure layer and rule layer, the comprehensive weight of each index of measure layer is represented againAnd respectively to the comprehensive of the measure layer under each rule layer
Weight is closed to normalize:
In formulak∈{l1,l2,...,lm, liRepresent the measure number of plies included under i-th of rule layer
Mesh, i=1,2 ..., m;
It is S43, η " and rule layer index weights A is corresponding mutually multiplied:
ω ' in formulaij=βiω″ij, j=1,2 ..., k, k ∈ { l1,l2,...,lm};
S44, η ' is expressed as to η '={ ω ' again1,ω′2,...,ω′l, and after being normalized η=
{ω1,ω2,...,ωl, wherein
The beneficial effects of the invention are as follows:The present invention both considers rule layer during to Evaluation of Land Readjustment Potentiality
Subjective assessment and objective data combination, it is also considered that the relative importance of different measure layer, taken into account FAHP-
The advantages of Entropy enabling legislations and improved AHP-Entropy enabling legislations.Simultaneously by the present invention in that being weighed with compatibility to each assign
The superiority of method is checked, demonstrates compatibility of the present invention apparently higher than single subjectivity or objectivity enabling legislation, has steady
Strong property, superiority and representativeness.In addition the present invention is first by reserved resources storage level, every mu of grain yield, mechanization of agriculture water
Equality index, which introduces, is used as a metrics evaluation Cultivated Land Consolidation Potential, and is write using Matlab integrated for Arable Land Potential first
The three-dimensional DEM figures of value, and analysis of partition has been carried out, react inherent potential quality characteristic.
Brief description of the drawings
Fig. 1 show provided in an embodiment of the present invention based on the hilly area Evaluation of Land Readjustment Potentiality method stream for improving enabling legislation
Cheng Tu.
Fig. 2 show Yanting County hilly area exploiting potential for arable land model schematic provided in an embodiment of the present invention.
Fig. 3 show Arable Land Potential distribution map in Yanting County provided in an embodiment of the present invention.
Fig. 4 show Yanting County Arable Land Potential three-dimensional DEM model schematics provided in an embodiment of the present invention.
Fig. 5 show Yanting County Arable Land Potential three-dimensional DEM subdivision graphs provided in an embodiment of the present invention.
Embodiment
The illustrative embodiments of the present invention are described in detail referring now to accompanying drawing.It should be appreciated that shown in accompanying drawing and
What the embodiment of description was merely exemplary, it is intended that explain the principle and spirit of the present invention, and not limit the model of the present invention
Enclose.
The embodiments of the invention provide a kind of based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation, such as Fig. 1
It is shown, comprise the following steps S1-S6:
S1, hilly area exploiting potential for arable land model is established according to regional arable land situation to be evaluated, the evaluation model includes one
Individual destination layer, m rule layer and l measure layer (1≤l≤m), include l under each rule layeri(i=1,2 ..., m) is individual to be arranged
Apply layer, and l1+l2+…+lm=l.
In the embodiment of the present invention, Sichuan Province Mianyang City Yanting County is chosen as area to be evaluated.Yanting is located at Mianyang southeast
Square, on Jia Lingjiang River, Fujiang River watershed, border of the county basin trunk river has Fujiang River tributary Zi Jiang, Mi Jiang, Tuan Jiang, Yong Jiang and beech small stream river,
Northern height low, the whole county territory area 1647.6km in south is totally presented in physical features2, 36 small towns.Yanting County landform is with hills, mountain region peace
Based on original, based on hills Yi Zhongqiu, high mound, middle mound area 77.9km2, high mound is 282.78km2, hills accounts for whole county area
31.18%;Mountain region is to corrode and degrade based on low mountain, low mountain area 1156.73km2, mountain region accounts for the 60.92% of whole county area;
Plain is based on valley plain, Plain area 130.19km2, Plain accounts for the 7.9% of whole county area.Cut-off 2015, Yanting County
Total area under cultivation is 36925hm2, account for the 22.45% of territory area, wherein field 13017hm2, account for 35.25% always to plough, nonirrigated farmland
23908hm2, account for 64.74% always to plough.Therefore, Yanting County can be used as hilly area to represent, and carry out hilly area Evaluation of Land Readjustment Potentiality
Analysis.
Yanting County is influenceed by composite factors such as geographical position, natural conditions, economic conditions, and cultivated land resource presents following special
Point:(1) mountain region is more, and causing sloping upland, farmland quality is poor, and middle-and-low-yielding fields are more than great.(2) each small towns farmland types (field)
Proportional imbalance, the more paddy fields in county domain southwest region, northern more nonirrigated farmlands.(3) rural area arable land infrastructure is poor, fund guarantee is not in place,
Arable Land Consolidation special fund implements project, and each department acting on its own, decentralization in investment, does not concentrate.(4) land use is comminuted, standby money of ploughing
Source is limited.
According to county's feelings of Yanting, the endogenous variable of influence Yanting exploiting potential for arable land and many fingers of exogenous variable are chosen
Mark, hilly area exploiting potential for arable land model is established, carry out Yanting County exploiting potential for arable land, as shown in Figure 2.
S2, measure layer index weights C={ θ are calculated using Entropy enabling legislations1,θ2,...,θl, specifically step by step
It is as follows:
S21, provided with a objects to be evaluated, l items index to be evaluated, structure raw data matrix X=(xij)a×l。
S22, normalized matrix R=(r are calculated according to raw data matrix Xij)a×l, wherein 1≤i≤l, 1≤j≤
A, rij∈[0,1]。
In the embodiment of the present invention, data matrix X is standardized using extremum method, if selecting relatively large person to be excellent
Index, then:
rij=(xij-min{xij})/(max{xij}-min{xij}) (1)
If selecting relatively small person as excellent index,:
rij=(max { xij}-xij)/(max{xij}-min{xij}) (2)
S23, the entropy of i-th of index of definition areWhereinK=1/lna;When
dijWhen=0, dij lndij=0.
S24, according to entropy HiThe entropy weight θ of i-th of index is calculatedi, calculation formula is:
0≤θ in formulai≤ 1,According to the index entropy weight θ of all measure layersiComposition measure layer index weights C=
{θ1,θ2,...,θl}。
In the embodiment of the present invention, the measure layer index weights C being calculated using Entropy enabling legislations is as shown in table 1:
Table 1
S3, rule layer index weights A={ β are calculated using FAHP enabling legislations1,β2,...,βmAnd measure layer index power
Weight B={ χ1,χ2,...,χl}。
Wherein, calculation criterion layer index weights A method is specially:
A31, according to FAHP enabling legislations, using 0.1~0.9 scale, build preferential judgment matrix F=(fij)m×m.Each scale
Explanation it is as shown in table 2:
Table 2
Scale | Explanation |
0.5 | One index and another index are of equal importance |
0.6 | One index is somewhat more important than another index |
0.7 | One index is substantially more important than another index |
0.8 | Much more important than another index of one index |
0.9 | One index is more extremely important than another index |
0.1,0.2,0.3,0.4 | fji=1-fij |
A32, it transform preferential judgment matrix F as fuzzy consistent judgment matrix T=(tij)m×m, t in formulaij=(ti-tj)/2m
+ 0.5,I=1,2 ..., m, m be rule layer index number.
A33, sum row normalization weight sets W={ (w) according to fuzzy consistent judgment matrix T calculating1×m}T。
A34, fuzzy consistent judgment matrix T is converted into reciprocal matrix E=(eij)m×m, e in formulaij=tij/tji。
A35, will be with row normalization weight sets W as initial vector V0, it is iterated using formula (4):
If | | | Vk+1||∞-||Vk||∞Then iteration terminates |≤ε, in formulaε is assigned error, this hair
0.0001 is taken in bright embodiment.
A36, by Vk+1Rule layer index weights A is obtained after normalization:
Calculating measure layer index weights B method specifically includes:
B31, according to FAHP enabling legislations, using 0.1~0.9 scale, build preferential judgment matrix F=(fij)l×l。
B32, it transform preferential judgment matrix F as fuzzy consistent judgment matrix T=(tij)l×l, t in formulaij=(ti-tj)/2l
+ 0.5,I=1,2 ..., l, l be measure layer index number.
B33, sum row normalization weight sets W={ (w) according to fuzzy consistent judgment matrix T calculating1×l}T。
B34, fuzzy consistent judgment matrix T is converted into reciprocal matrix E=(eij)l×l, e in formulaij=tij/tji。
B35, will be with row normalization weight sets W as initial vector V0, it is iterated using formula (4):
If | | | Vk+1||∞-||Vk||∞Then iteration terminates |≤ε, in formulaε is assigned error, this hair
0.0001 is taken in bright embodiment.
B36, by Vk+1Measure layer index weights B is obtained after normalization:
In the embodiment of the present invention, the rule layer index weights A and measure layer index that are calculated using FAHP enabling legislations are weighed
Weight B is as shown in table 3:
Table 3
S4, weight A, B, the C being calculated according to step S2-S3, calculated using FAHP-Entropy enabling legislations are improved
To final weight η={ ω of measure layer index1,ω2,...,ωl, it is specifically as follows step by step:
S41, the measure layer that measure layer index weights B and the Entropy enabling legislation that FAHP enabling legislations are calculated is calculated
Index weights C carries out integrated treatment, obtains measure layer index comprehensive weightWherein
S42, the corresponding relation according to measure layer and rule layer, the comprehensive weight of each index of measure layer is represented againAnd respectively to the comprehensive of the measure layer under each rule layer
Weight is closed to normalize:
In formulak∈{l1,l2,...,lm, liRepresent the measure number of plies included under i-th of rule layer
Mesh, i=1,2 ..., m.
It is S43, η " and rule layer index weights A is corresponding mutually multiplied:
ω ' in formulaij=βiω″ij, j=1,2 ..., k, k ∈ { l1,l2,...,lm}。
S44, η ' is expressed as to η '={ ω ' again1,ω′2,...,ω′l, and after being normalized η=
{ω1,ω2,...,ωl, wherein
In the embodiment of the present invention, the final weight of measure layer index is calculated using improvement FAHP-Entropy enabling legislations
η is as shown in table 3.
The superiority of FAHP-Entropy enabling legislations is improved for checking, is tested using enabling legislation compatibility.N is assigned
The compatibility of power method refers to the enabling legislation and the arithmetic mean of instantaneous value of the Spearman coefficient of rank correlations of remaining each enabling legislation, i.e.,:
In formuladinlFor the difference of sequence of i-th of index between two kinds of enabling legislations of n and l,
M is index sum, and h is the quantity of enabling legislation, and the compatibility that certain assigns power method is big, then the representativeness of this enabling legislation is strong, assesses
As a result more representative, robustness.Data of the embodiment of the present invention come from table 3, calculate to obtain FAHP enabling legislations (method 1), Entropy
Enabling legislation (method 2), FAHP-Entropy enabling legislations (method 3), improve the Spearman of FAHP-Entropy enabling legislations (method 4) successively
Coefficient of rank correlation, that is, have:R12=-0.0196, R13=0.8015, R14=0.8382, R23=0.1642, R24=0.1642,
R34=0.9314.According to formula (10), the compatibility that each enabling legislation is calculated is as shown in table 4:
Table 4
As shown in Table 4, R4>R3>R1>R2, that is, the compatibility of FAHP-Entropy enabling legislations is improved apparently higher than single subjectivity
Property or objectivity enabling legislation, demonstrate robustness, the superiority of improved FAHP-Entropy enabling legislations.
S5, according to final weight η, regional Cultivated Land Consolidation Potential synthesis to be evaluated is calculated using comprehensive evaluation and referred to
Number, and be ranked up.The formula for calculating regional Cultivated Land Consolidation Potential composite index to be evaluated is:
ω in formulaiRepresent the final weight of i-th of index, ciThe standard value of i-th of index is represented, by formula (1) or (2)
Each index r obtainedijObtained after standardization.
S6, enter row interpolation classification to regional Cultivated Land Consolidation Potential composite index to be evaluated using Arcgis softwares.
The situation of change of Cultivated Land Consolidation Potential, is entered using inverse distance weighted interpolation method between reflection Yanting County different zones
Row Arable Land Consolidation composite index interpolation analysis, and be overlapped with Yanting County administrative region, Yanting County Arable Land Potential distribution map is obtained,
As shown in figure 3, the Arable Land Consolidation composite index situation of change of Yanting difference administrative region as shown in Figure 3, through calculating whole county arable land
Comprehensive potential index between 0.5614-0.1017, with《County land Renovation and planning works out code》(TD/135-2013) be according to
According to being classified by Arcgis softwares to Yanting County Cultivated Land Consolidation Potential, as shown in table 5.
Table 5
Yanting Cultivated Land Consolidation Potential is classified using the grade scale of table 5, REGION OF WATER INJECTION OILFIELDs at different levels are presented below as region spy
Point:One-level REGION OF WATER INJECTION OILFIELD is distributed mainly on Zi Jiang, Tuan Jiang, Mi Jiang, beech small stream river bank bank, and integrated distribution is more significant.Two level Potential zoning
It is in zonal distribution approximately along northwest to southeastern direction.Three-level Potential zoning is distributed around one-level Potential zoning in fragmentary shape.Level Four
Potential zoning is located at Yanting County northwest, southwest, the face of the southeast three, dissipates distribution in fragmentary.
S7, regional Arable Land Potential three-dimensional DEM models to be evaluated are established using Matlab softwares, and carry out analysis of partition.
Based on the small towns administrative division map of Yanting County 36, each town government location is extracted as sample with Arcgis
This click-through row interpolation is analyzed, and is assigned each small towns composite index to 36 sample points, is write program using Matlab and establish Yanting County
Arable Land Potential three-dimensional DEM models, as shown in Figure 4.
Intuitively to react microscopic characteristics of the Yanting Arable Land Potential integrated value in four Main ways, Yanting County is ploughed latent
Power three-dimensional DEM models specify Dong-west, north-south, the northwest-southeast, southwest-northeast four direction progress uniformly subdivision.Dong-west refers to
Determine subdivision point and be located at 31.23 ° of north latitude, north-south specifies subdivision point to be located at 105.52 ° of east longitude, the southeast-northwest, two, northeast-southwest
Direction is to carry out oblique subdivision, 3 D stereo coordinate be present, and selected subdivision point is located at the Central Symmetry point of Yanting County administrative line figure,
Three-dimensional dividing is carried out, obtains Arable Land Potential three-dimensional DEM subdivision graphs, as shown in Figure 5.
Understand that Yun Xi towns Cultivated Land Consolidation Potential is maximum by northeast-southwestern subdivision line (Fig. 5 d), Liang He takes second place in town, on subdivision line
Composite index of ploughing average value is 0.1922, and overall Cultivated Land Consolidation Potential is horizontal general.The southeast-northwest subdivision line (Fig. 5 c) is presented
Mountain peak type is distributed, and first increases and gradually decreases afterwards, and Huang Dian towns Cultivated Land Consolidation Potential is maximum, and Bai Zi towns, golden Kong Zhen take second place, on subdivision line
Composite index of ploughing average value is 0.3012, and overall Cultivated Land Consolidation Potential level is higher.Dong-western subdivision line (Fig. 5 a) understands cloud small stream
Town Cultivated Land Consolidation Potential is maximum, and Huang Dian towns, self-employed tree cultivator town are taken second place, and composite index average value of being ploughed on subdivision line is 0.2585, overall
Cultivated Land Consolidation Potential is horizontal general.North-south subdivision line (Fig. 5 b) is similar to the southeast-northwest subdivision line tendency, and Yun Xi towns arable land is whole
Manage with the largest potentiality, Yulong town, Ma Yang townshiies take second place, and composite index average value of being ploughed on subdivision line is 0.3114, overall Arable Land Consolidation
Potentiality level is higher.
S8, combining step S6 Arcgis composite index interpolation classification results and step S7 potentiality three-dimensional DEM models
Analysis of partition result, comprehensive sub-areas suggestion is provided to regional Cultivated Land Consolidation Potential to be evaluated.
On to Arcgis composite indexes interpolation analysis, Arable Land Potential three-dimensional DEM model facetization analysis foundations, according to Yanting
County's agricultural belt return draw, arable land is divided into 4 Arable Land Consolidation developing zones by the composite factor such as topography and geomorphology:
(1) southwestern river valley Cultivated Land Consolidation Potential area:REGION OF WATER INJECTION OILFIELD is located at Chinese catalpa river bank downstream, and the sedimentation in river is obvious,
Causing region to plough, irrigated area is more, and based on river valley Pingba, territorial scope includes geomorphic type:Yun Xi towns, Liang He towns, new agriculture
Township, Mao Gong townshiies, giant dragon town, Ma Yang townshiies, Liang Chahe townshiies, Bai Zi towns, Yulong town, Huang Xi townshiies.REGION OF WATER INJECTION OILFIELD is located at Yanting County and mainly passed through
Ji development zone, leading action is played to whole county economy, land and water transportation facility is the main portal of external contacts, is northern deep mound
The connection bridge in Arable Land Potential area and southern Qian Qiu Arable Land Potentials area.The REGION OF WATER INJECTION OILFIELD density of population is larger, and urban population is more, agricultural
Population is relatively fewer, and arable land infrastructure is preferable, but middle-and-low-yielding fields ratio, transforming slope into terrace large percentage, and infrastructure has larger
Space is improved, makes the region Cultivated Land Consolidation Potential big, Cultivated Land Consolidation Potential rank is set to I grade, category optimum Distribution Area.
(2) northeast Qian Qiu Cultivated Land Consolidation Potentials area:REGION OF WATER INJECTION OILFIELD is located at the northeast traffic convenience of county domain, provincial highway S101, continuous west
Cross and mistake at a high speed.Territorial scope includes:Fu Yi towns, Huang Dian towns, woods mountain area, self-employed tree cultivator town, anistree town, ternary township, Yongtai township, gold
Anxiang, Daxing township of the Hui ethnic group.REGION OF WATER INJECTION OILFIELD is located at Zi Jiang tributary Mi Jiang, the upstream in rapid river, is that Yanting agricultural industry belt assembles ground, base
This farmland protection area is larger.Through fund input for many years, Arable Land Consolidation is slightly shown in achievement, but still has part arable land to need to arrange, potentiality level
It is not set to II grade, belongs to suitable Distribution Area.
(3) southeast Qian Qiu Cultivated Land Consolidation Potentials area:REGION OF WATER INJECTION OILFIELD is located at the county domain southeast, Xuanyuan Yellow Emperor, a legendary ruler's member prince wife-Lei ancestrals mound position
It is the leading travel industry band in Yanting County in the region, landforms scope mainly includes:Five Dragons township, Ju Xi townshiies, Xi Ze townshiies, high lamp
Town, golden Kong Zhen, Zong Hai township, dragon's fountain township, golden pheasant town, Zhe Gong townshiies.Zi Jiang tributary Yong Jiang, beech small stream river are through this REGION OF WATER INJECTION OILFIELD, physical features
Overall flatter, transforming slope into terrace ratio has larger deposit space, is the main Reserved Cultivated Land Resources storehouse in Yanting County, and Arable Land Consolidation is dived
Power rank is set to III grade, belongs to convenient Distribution Area.
(4) northwest Di Shanshen mounds Cultivated Land Consolidation Potential area:REGION OF WATER INJECTION OILFIELD is located at the county domain northwestward, and geomorphic type is mainly deep mound
With low mountain, territorial scope includes:Tea-booth township, township of wading a river, Hei Ping towns, Jianhe township, Lai Long townshiies, Shi Niumiao townshiies, Shuan Bei townshiies, settle down
Town.REGION OF WATER INJECTION OILFIELD entirety physical features is higher, possesses forestry band along the river, and forest land area is more, is the Yanting County primary timber place of production, and population is close
Spend sparse, basic farmland area is few, is limited by the more mountains of geographical conditions, and agriculture as the foundation of the economy is poor, therefore the region Cultivated Land Consolidation Potential
Minimum, potentiality rank are set to IV grade, and category least adapts to Distribution Area.
One of ordinary skill in the art will be appreciated that embodiment described here is to aid in reader and understands this hair
Bright principle, it should be understood that protection scope of the present invention is not limited to such especially statement and embodiment.This area
Those of ordinary skill can make according to these technical inspirations disclosed by the invention various does not depart from the other each of essence of the invention
The specific deformation of kind and combination, these deform and combined still within the scope of the present invention.
Claims (8)
1. based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation, it is characterised in that comprise the following steps:
S1, hilly area exploiting potential for arable land model is established according to regional arable land situation to be evaluated, the evaluation model includes a mesh
Layer, m rule layer and l measure layer are marked, wherein 1≤l≤m;
S2, measure layer index weights C={ θ are calculated using Entropy enabling legislations1,θ2,...,θl};
S3, rule layer index weights A={ β are calculated using FAHP enabling legislations1,β2,...,βmAnd measure layer index weights B
={ χ1,χ2,...,χl};
S4, weight A, B, the C being calculated according to step S2-S3, it is calculated and is arranged using improvement FAHP-Entropy enabling legislations
Apply final weight η={ ω of layer index1,ω2,...,ωl};
S5, according to final weight η, regional Cultivated Land Consolidation Potential composite index to be evaluated is calculated using comprehensive evaluation, and
It is ranked up;
S6, enter row interpolation classification to regional Cultivated Land Consolidation Potential composite index to be evaluated using Arcgis softwares;
S7, regional Arable Land Potential three-dimensional DEM models to be evaluated are established using Matlab softwares, and carry out analysis of partition;
S8, combining step S6 Arcgis composite index interpolation classification results and step S7 potentiality three-dimensional DEM model facetizations
Analysis result, comprehensive sub-areas suggestion is provided to regional Cultivated Land Consolidation Potential to be evaluated.
2. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 1, it is characterised in that the step S2 is specifically wrapped
Include it is following step by step:
S21, provided with a objects to be evaluated, l items index to be evaluated, structure raw data matrix X=(xij)a×l;
S22, normalized matrix R=(r are calculated according to raw data matrix Xij)a×l, wherein 1≤i≤l, 1≤j≤a, rij
∈[0,1];
S23, the entropy of i-th of index of definition areWhereinK=1/lna;Work as dij=0
When, dijlndij=0;
S24, according to entropy HiThe entropy weight θ of i-th of index is calculatedi, according to the index entropy weight θ of all measure layersiComposition measure layer
Index weights C={ θ1,θ2,...,θl}。
3. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 2, it is characterised in that the step S22 falls into a trap
Calculate normalized matrix R=(rij)a×lFormula be:
If selecting relatively large person as excellent index,:
rij=(xij-min{xij})/(max{xij}-min{xij}) (1)
If selecting relatively small person as excellent index,:
rij=(max { xij}-xij)/(max{xij}-min{xij}) (2)。
4. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 2, it is characterised in that the step S24 falls into a trap
Calculate entropy weight θiFormula be:
<mrow>
<msub>
<mi>&theta;</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>/</mo>
<mrow>
<mo>(</mo>
<mi>l</mi>
<mo>-</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>l</mi>
</munderover>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
0≤θ in formulai≤ 1,
5. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 1, it is characterised in that calculated in the step S3
Rule layer index weights A method specifically includes:
A31, according to FAHP enabling legislations, using 0.1~0.9 scale, build preferential judgment matrix F=(fij)m×m;
A32, it transform preferential judgment matrix F as fuzzy consistent judgment matrix T=(tij)m×m, t in formulaij=(ti-tj)/2m+
0.5,I=1,2 ..., m, m be rule layer index number;
A33, sum row normalization weight sets W={ (w) according to fuzzy consistent judgment matrix T calculating1×m}T;
A34, fuzzy consistent judgment matrix T is converted into reciprocal matrix E=(eij)m×m, e in formulaij=tij/tji;
A35, will be with row normalization weight sets W as initial vector V0, it is iterated using formula (4):
<mrow>
<msup>
<mi>V</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>=</mo>
<mi>E</mi>
<mfrac>
<msup>
<mi>V</mi>
<mi>k</mi>
</msup>
<mrow>
<mo>|</mo>
<mo>|</mo>
<msup>
<mi>V</mi>
<mi>k</mi>
</msup>
<mo>|</mo>
<msub>
<mo>|</mo>
<mi>&infin;</mi>
</msub>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
If | | | Vk+1||∞-||Vk||∞Then iteration terminates |≤ε, in formulaε is assigned error;
A36, by Vk+1Rule layer index weights A is obtained after normalization:
<mrow>
<mi>A</mi>
<mo>=</mo>
<mo>{</mo>
<msub>
<mi>&beta;</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>&beta;</mi>
<mn>2</mn>
</msub>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mi>&beta;</mi>
<mi>m</mi>
</msub>
<mo>}</mo>
<mo>=</mo>
<mo>{</mo>
<mrow>
<msubsup>
<mi>V</mi>
<mn>1</mn>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msubsup>
<mi>V</mi>
<mi>i</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>V</mi>
<mn>2</mn>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msubsup>
<mi>V</mi>
<mi>i</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msubsup>
<mi>V</mi>
<mi>m</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msubsup>
<mi>V</mi>
<mi>i</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
</mrow>
<mo>}</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
<mo>.</mo>
</mrow>
6. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 1, it is characterised in that calculated in the step S3
Measure layer index weights B method specifically includes:
B31, according to FAHP enabling legislations, using 0.1~0.9 scale, build preferential judgment matrix F=(fij)l×l;
B32, it transform preferential judgment matrix F as fuzzy consistent judgment matrix T=(tij)l×l, t in formulaij=(ti-tj)/2l+
0.5,I=1,2 ..., l, l be measure layer index number;
B33, sum row normalization weight sets W={ (w) according to fuzzy consistent judgment matrix T calculating1×l}T;
B34, fuzzy consistent judgment matrix T is converted into reciprocal matrix E=(eij)l×l, e in formulaij=tij/tji;
B35, will be with row normalization weight sets W as initial vector V0, it is iterated using formula (4):
<mrow>
<msup>
<mi>V</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>=</mo>
<mi>E</mi>
<mfrac>
<msup>
<mi>V</mi>
<mi>k</mi>
</msup>
<mrow>
<mo>|</mo>
<mo>|</mo>
<msup>
<mi>V</mi>
<mi>k</mi>
</msup>
<mo>|</mo>
<msub>
<mo>|</mo>
<mi>&infin;</mi>
</msub>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
If | | | Vk+1||∞-||Vk||∞Then iteration terminates |≤ε, in formulaε is assigned error;
B36, by Vk+1Measure layer index weights B is obtained after normalization:
<mrow>
<mi>B</mi>
<mo>=</mo>
<mo>{</mo>
<msub>
<mi>&chi;</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>&chi;</mi>
<mn>2</mn>
</msub>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mi>&chi;</mi>
<mi>l</mi>
</msub>
<mo>}</mo>
<mo>=</mo>
<mo>{</mo>
<mrow>
<msubsup>
<mi>V</mi>
<mn>1</mn>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>l</mi>
</munderover>
<msubsup>
<mi>V</mi>
<mi>i</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>V</mi>
<mn>2</mn>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>l</mi>
</munderover>
<msubsup>
<mi>V</mi>
<mi>i</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msubsup>
<mi>V</mi>
<mi>l</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>l</mi>
</munderover>
<msubsup>
<mi>V</mi>
<mi>i</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
</mrow>
<mo>}</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
<mo>.</mo>
</mrow>
7. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 1, it is characterised in that the step S4 is specifically wrapped
Include it is following step by step:
S41, the measure layer index that measure layer index weights B and the Entropy enabling legislation that FAHP enabling legislations are calculated is calculated
Weight C carries out integrated treatment, obtains measure layer index comprehensive weightWherein
S42, the corresponding relation according to measure layer and rule layer, the comprehensive weight of each index of measure layer is represented againAnd respectively to the comprehensive of the measure layer under each rule layer
Weight is closed to normalize:
<mrow>
<msup>
<mi>&eta;</mi>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msup>
<mo>=</mo>
<mo>{</mo>
<msubsup>
<mi>&omega;</mi>
<mn>11</mn>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mn>12</mn>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mn>1</mn>
<msub>
<mi>l</mi>
<mn>1</mn>
</msub>
</mrow>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>;</mo>
<msubsup>
<mi>&omega;</mi>
<mn>21</mn>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mn>22</mn>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mn>2</mn>
<msub>
<mi>l</mi>
<mn>2</mn>
</msub>
</mrow>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>;</mo>
<mo>...</mo>
<mo>;</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>m</mi>
<mn>1</mn>
</mrow>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>m</mi>
<mn>2</mn>
</mrow>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<msub>
<mi>ml</mi>
<mi>m</mi>
</msub>
</mrow>
<mrow>
<mo>&prime;</mo>
<mo>&prime;</mo>
</mrow>
</msubsup>
<mo>}</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
In formulak∈{l1,l2,...,lm, liRepresent the measure number of layers included under i-th of rule layer, i=
1,2,...,m;
It is S43, η " and rule layer index weights A is corresponding mutually multiplied:
<mrow>
<msup>
<mi>&eta;</mi>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mo>{</mo>
<msubsup>
<mi>&omega;</mi>
<mn>11</mn>
<mo>&prime;</mo>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mn>12</mn>
<mo>&prime;</mo>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mn>1</mn>
<msub>
<mi>l</mi>
<mn>1</mn>
</msub>
</mrow>
<mo>&prime;</mo>
</msubsup>
<mo>;</mo>
<msubsup>
<mi>&omega;</mi>
<mn>21</mn>
<mo>&prime;</mo>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mn>22</mn>
<mo>&prime;</mo>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mn>2</mn>
<msub>
<mi>l</mi>
<mn>2</mn>
</msub>
</mrow>
<mo>&prime;</mo>
</msubsup>
<mo>;</mo>
<mo>...</mo>
<mo>;</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>m</mi>
<mn>1</mn>
</mrow>
<mo>&prime;</mo>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>m</mi>
<mn>2</mn>
</mrow>
<mo>&prime;</mo>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>&omega;</mi>
<mrow>
<msub>
<mi>ml</mi>
<mi>m</mi>
</msub>
</mrow>
<mo>&prime;</mo>
</msubsup>
<mo>}</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>8</mn>
<mo>)</mo>
</mrow>
</mrow>
ω ' in formulaij=βiω″ij, j=1,2 ..., k, k ∈ { l1,l2,...,lm};
S44, η ' is expressed as to η '={ ω ' again1,ω′2,...,ω′l, and obtain η={ ω after being normalized1,
ω2,...,ωl, wherein
8. Evaluation of Land Readjustment Potentiality method in hilly area according to claim 1, it is characterised in that calculated in the step S5
The formula of regional hilly area Cultivated Land Consolidation Potential composite index to be evaluated is:
<mrow>
<mi>E</mi>
<mi>S</mi>
<mi>I</mi>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>l</mi>
</munderover>
<msub>
<mi>&omega;</mi>
<mi>i</mi>
</msub>
<mo>&times;</mo>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
ω in formulaiRepresent the final weight of i-th of index, ciRepresent the standard value of i-th of index.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710599917.1A CN107423504A (en) | 2017-07-21 | 2017-07-21 | Based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710599917.1A CN107423504A (en) | 2017-07-21 | 2017-07-21 | Based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107423504A true CN107423504A (en) | 2017-12-01 |
Family
ID=60430096
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710599917.1A Pending CN107423504A (en) | 2017-07-21 | 2017-07-21 | Based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107423504A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112927060A (en) * | 2021-04-23 | 2021-06-08 | 土流集团有限公司 | Land flow stable safe transaction system and method |
CN113191666A (en) * | 2021-05-18 | 2021-07-30 | 郑州轻工业大学 | Farmland improvement potential evaluation method, terminal and computer-readable storage medium |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101572623A (en) * | 2009-04-30 | 2009-11-04 | 上海大学 | Method for comprehensively evaluating network performance based on subjective and objective combination evaluation |
CN106251047A (en) * | 2016-07-20 | 2016-12-21 | 国网浙江省电力公司电力科学研究院 | Consider the relay protection change power fuzzy synthesis method for evaluating state that degree of membership is variable |
-
2017
- 2017-07-21 CN CN201710599917.1A patent/CN107423504A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101572623A (en) * | 2009-04-30 | 2009-11-04 | 上海大学 | Method for comprehensively evaluating network performance based on subjective and objective combination evaluation |
CN106251047A (en) * | 2016-07-20 | 2016-12-21 | 国网浙江省电力公司电力科学研究院 | Consider the relay protection change power fuzzy synthesis method for evaluating state that degree of membership is variable |
Non-Patent Citations (5)
Title |
---|
杨晓辉: "《徽县耕地质量评价》", 28 February 2015, 甘肃科学技术出版社 * |
荣盘祥 等: "基于改进FAHP的交通系统脆性分析", 《哈尔滨理工大学学报》 * |
荣联伟 等: "基于AHP和熵权法的县域耕地整理潜力评价", 《江西农业大学学报》 * |
郭金维 等: "一种改进的多目标决策指标权重计算方法", 《西安电子科技大学学报(自然科学版)》 * |
金菊良 等: "基于熵和FAHP 的水资源可持续利用模糊综合评价模型", 《水力发电学报》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112927060A (en) * | 2021-04-23 | 2021-06-08 | 土流集团有限公司 | Land flow stable safe transaction system and method |
CN113191666A (en) * | 2021-05-18 | 2021-07-30 | 郑州轻工业大学 | Farmland improvement potential evaluation method, terminal and computer-readable storage medium |
CN113191666B (en) * | 2021-05-18 | 2023-11-24 | 郑州轻工业大学 | Cultivated land remediation potential evaluation method, terminal and computer readable storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Han et al. | An integrated evaluation framework for Land-Space ecological restoration planning strategy making in rapidly developing area | |
Chen et al. | Delineation of a basic farmland protection zone based on spatial connectivity and comprehensive quality evaluation: a case study of Changsha City, China | |
CN106599601A (en) | Remote sensing assessment method and system for ecosystem vulnerability | |
Tilley | Emergy basis of forest systems | |
Tong et al. | Using ecosystem service supply and ecosystem sensitivity to identify landscape ecology security patterns in the Lanzhou-Xining urban agglomeration, China | |
Yao et al. | Analysis of land use changes and driving forces in the Yanhe River Basin from 1980 to 2015 | |
Yuan et al. | Investigating the trade-offs between the supply and demand for ecosystem services for regional spatial management | |
Li et al. | Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of the Qinghai‐Tibet Plateau, China | |
Shao et al. | Land use trade-offs and synergies based on temporal and spatial patterns of ecosystem services in South China | |
Abdurashid et al. | Regulation Of The Diversification Of The Use Of The District Land Fund Through The General Scheme. | |
Liu et al. | Construction of an ecological security network in the Fenhe River Basin and its temporal and spatial evolution characteristics | |
CN108446782A (en) | A kind of optimization of land resource configuration method of consideration of multi-scale | |
Dang et al. | The pattern of available construction land along the Xijiang River in Guangxi, China | |
Liu et al. | Constructing ecological security patterns based on ecosystem services trade-offs and ecological sensitivity: A case study of Shenzhen metropolitan area, China | |
Song et al. | Heuristic cellular automaton model for simulating soil organic carbon under land use and climate change: A case study in eastern China | |
Huang et al. | Spatiotemporal evolution of land transportation networks and accessibility in inland mountainous areas 1917–2017: A case study of Southwest China | |
CN107423504A (en) | Based on the hilly area Evaluation of Land Readjustment Potentiality method for improving enabling legislation | |
Yuan et al. | Identifying ecological strategic points based on multi-functional ecological networks: A case study of Changzhi City, China | |
Wu et al. | Factor analysis of hydrologic services in water-controlled grassland ecosystems by InVEST model and geodetector | |
Li et al. | Effects of built area on net primary productivity provided by different landscape characters and the promotion potential | |
Guo et al. | Industrial development zoning with dual objectives of spatial development suitability and ecosystem service value a case study in Xiaonanhai Hydropower Station basin | |
Sultanovich | The module of diversification of the use of the land fund | |
Liu et al. | How did blue and green water resource evolute spatially and temporally in the Meijiang River Basin, China? | |
Wang | Evaluating the Suitability of Human Settlements Using Big Data and GIS in Jieyang City, China | |
Xu et al. | STUDY ON TIME SEQUENCE AND PATTERN OF HIGHSTANDARD FARMLAND CONSTRUCTION: A CASE STUDY IN CHINA |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171201 |