CN104361225A - Evaluation method of geological environment bearing capacity of coastal zone - Google Patents

Abstract

The invention discloses an evaluation method of geological environment bearing capacity of a coastal zone. The evaluation method comprises the steps of establishing a coastal zone geological environment bearing capacity evaluation index system, obtaining index weights by using an unstructured triangular fuzzy number weight determination method and the evaluation indexes; and obtaining the geological environment bearing capacity according to the evaluation indexes and the index weights and outputting the geological environment bearing capacity. The unstructured triangular fuzzy number weight determination method in the evaluation method fully considers the importance of each index from the overall aspect during determination of the index weights, then an evaluation judgment matrix is established from three attitudes, i.e., pessimistic, neutral and optimistic attitudes in accordance with dyadic mood operators, the two methods are effectively merged, not only can the logics recognized by experts be satisfied, but also the judgment of decision makers to the importance of micro indexes under three different attitudes, i.e., pessimistic, neutral and optimistic attitudes is comprehensively considered, and the misjudgment of the original evaluation result based on a single attitude can be effectively avoided.

Description

A kind of evaluation method of coastal geologic environment bearing capacity

Technical field

The present invention relates to a kind of evaluation method of coastal geologic environment bearing capacity, particularly a kind of non-structural Triangular Fuzzy Number weighs the evaluation method of the coastal geologic environment bearing capacity of method surely.

Background technology

The Landslide Deformation that some main coast and estuary region of recent year such as HUANGHE ESTUARY, Laizhou Wan region and reservoir area of Three Gorges occur; the geologic Environment Problem such as to cave in once was causing the concern of Environmental Protection in China mechanism and experts and scholars; these seashores and estuary region generally have such as Perioperative cardiac events to make ground engineering, important port and large-scale water conservancy and hydropower facility; once there is geologic hazard, consequence is hardly imaginable.Propelling and the increasingly sharpening of the effect of human activity of industrialization and urbanization process cause local area ecological pressure increase, the aggravation of the problems such as surface subsidence, seawater intrusion and coast erosion; In time carry out formulation that present situation and Potential Evaluation plan Regional Economic Development and adjustment of industry layout to the geologic condition in these areas all there is important references to be worth; Therefore it is very necessary for evaluating the geologic media potential bearing capacity of estuary coast band.

In the past, most of seashore Geological Environment Evaluation laid particular emphasis on assessment to seashore geologic hazard more, to the evaluation of seashore geology present situation fragility and the evaluation etc. to coastal engineering suitability, and it is less to carry out the research of evaluation method to geologic media potential bearing capacity; In ecological evaluation process, the determination of index weights is most important, and the research of weight method is always the problem of most scholar's primary study; The erroneous judgement of index weights is the key factor of restriction ecological evaluation; Therefore the environmental protection studied reality is carried out in the special determination for index weights in Ecology Environment Evaluation, and resources development and utilization present situation and Potential Evaluation are all very important.

At present, method of surely weighing in ecological ranking process has multiple, has and surely weighs method from the subjective and objective of decisionmaker's preference, also has single, combination weights method from local to entirety.Wherein subjective method of surely weighing mainly wraps conventional AHP (analytical hierarchy process), expert survey (Delphi method), chain rate point system, directly scoring, contrast ranking method and incidence matrix (Gu Linfa) etc., due to AHP method in conventional subjective evaluation method has can by challenge stratification, the characteristic of qualitative question quantification, make its more realistic huge system evaluation, therefore the method application at most; Objective-weight method mainly comprises Information Entropy, principal component analysis (PCA), average variance method (departure method), VC Method and CRITIC method etc.; But due to objective weighted model versatility and can property of participation poor, computing method are complicated, and strong according to lazyness to data of objective weighted model, higher to the requirement of specific strength, conflicting and discreteness to data; Therefore, very perfect objective-weight appraisement system is not yet formed at present; Due to the variation of index, qualitatively and the difficulty of data acquisition, directly results in objective weighted model result of use in Ecology Environment Evaluation process not good in Ecology Environment Evaluation process; It is single to there is decision maker's attitude in above subjective weights evaluation method, and the unrealized shortcoming considered to local from entirety.

Summary of the invention

Fundamental purpose of the present invention is the evaluation method providing a kind of coastal geologic environment bearing capacity, utilize the method that unstructuredness fuzzy decision weight and Triangular Fuzzy Number are weighed method effective integration surely, and in the evaluation of coastal geologic environment bearing capacity, reach subjective judgement by macroscopic view to microcosmic and first overall rear object locally.

The invention provides a kind of evaluation method of coastal geologic environment bearing capacity, comprising:

Set up the step of coastal geologic environment Bearing Capacity Evaluation index system;

Non-structural Triangular Fuzzy Number is utilized surely to weigh the step of method and described evaluation index acquisition index weights;

Geologic media bearing capacity is obtained and the step exported according to described evaluation index and described index weights.

Further, described coastal geologic environment Bearing Capacity Evaluation index system comprises: shell of compression, state layer and response layer;

Described shell of compression includes coast erosion index, seawater intrusion index, land subsidence index and oil-air pressure index;

Described state layer includes geology and geomorphology and topographic condition index, seashore conditional indicator and structure of basement index;

Described response layer includes the artificial response index of nature.

Further, in described shell of compression:

Described coast erosion index includes that sea level rise index, maximum wave height index and mean range index;

Described seawater intrusion index includes storm tide index, sea ice index, salt water index and salinity index;

Described land subsidence index includes earthquake peak acceleration index, geological fracture dangerous index, active fault index, littoral region's earthquake intensity index, ground settlement index and crustal stability index;

Described oil-air pressure index includes shallow gas index.

Further, in described state layer:

Described geology and geomorphology and topographic condition index include paleo-streams index, Geological-environmental Quality index, the first marine bed foundation quality index, environmental engineering subregion index and microtopography delta landforms index;

Described seashore conditional indicator includes coast type index, offshore range index, land type index, underground water table index and elevation index;

Described structure of basement index includes quaternary geology situation index.

Further, the described naturally artificial response index in described response layer includes coast protection works index, recharge of ground water index and silt maintenance dose index.

Further, the described step utilizing non-structural Triangular Fuzzy Number surely to weigh method and described index system acquisition index weights comprises:

The step of layer building index attribute value importance ranking matrix is divided according to described evaluation number;

Also build the step of triangle fuzzy judgment matrix according to non-structural mood operator according to described importance ranking matrix;

Described triangle fuzzy judgment matrix is carried out to the step of consistency check;

The step of index weights is obtained according to the described triangle fuzzy judgment matrix meeting consistency check.

Further, described the step that described triangle fuzzy judgment matrix carries out consistency check to be comprised:

Obtain expected matrix according to described triangle fuzzy matrix and expect the step of weight;

Construct the step of the fuzzy Reciprocal Judgement Matrix of described expected matrix;

The step of the Consistency Ratio of described fuzzy Reciprocal Judgement Matrix is determined by the characteristic root of described fuzzy Reciprocal Judgement Matrix;

According to the conforming step of the described fuzzy Reciprocal Judgement Matrix of described Consistency Ratio inspection;

Export the step meeting the described triangle fuzzy matrix of consistency check.

Further, described index weights comprises pessimistic weight, neutral weight, optimistic weight and described expectation weight.

Further, the described formula obtaining expectation weight in the step of expected matrix and expectation weight that obtains according to described triangle fuzzy matrix is:

Known Triangular Fuzzy Number a=(a _l, a _m, a _u), then claim

E(a)＝((1-λ)a _l+a _m+λa _u)/2

In formula, the expectation value that E (a) is Triangular Fuzzy Number a, wherein 0≤E (a)≤1,0≤λ≤1, λ value is attitudes toward risk value.

Further, in the described step also exported according to described evaluation index and described index weights acquisition geologic media bearing capacity, the formula of use is geologic media Bearing Capacity Evaluation formula, and described formula is as follows:

$z_i=\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{r}_{\mathrm{ij}}\⊗w_j$

In formula, Z _igeologic media bearing capacity, w _ja jth described index weights, r _ijit is described evaluation index.

Beneficial effect of the present invention is, a kind of evaluation method of coastal geologic environment bearing capacity is provided, non-structural Triangular Fuzzy Number in the method is weighed in the process that method determines at index weights surely, each index importance degree is fully taken into account from overall aspect, then according to binary mood operator, from pessimism, neutral, optimistic three kinds of attitudes are set out to set up and are evaluated judgment matrix, the effective integration of two kinds of methods, both the logic of expert's understanding had been met, integrated survey decision maker is in pessimism again, neutral, under optimistic three kinds of different attitudes, Microscopic Indexes importance is judged, effectively can avoid the erroneous judgement of original single attitude evaluation result.

Accompanying drawing explanation

Fig. 1 is the process flow diagram of the evaluation method of embodiment of the present invention coastal geologic environment bearing capacity;

Fig. 2 is the schematic diagram of embodiment of the present invention coastal geologic environment Bearing Capacity Evaluation index system;

Fig. 3 is that the embodiment of the present invention utilizes non-structural Triangular Fuzzy Number surely to weigh the process flow diagram of the step of method and evaluation index acquisition index weights;

Fig. 4 is the embodiment of the present invention carries out the step of consistency check process flow diagram to triangle fuzzy judgment matrix;

Fig. 5 is the schematic diagram of the quantification of targets grade of embodiment of the present invention coastal geologic environment Bearing Capacity Evaluation index system;

Fig. 6 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under the pessimistic weight of the embodiment of the present invention;

Fig. 7 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under the neutral weight of the embodiment of the present invention;

Fig. 8 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under the optimistic weight of the embodiment of the present invention;

Fig. 9 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under embodiment of the present invention expectation weight.

Embodiment

Hereafter will describe embodiments of the invention in detail by reference to the accompanying drawings.It should be noted that the combination of technical characteristic or the technical characteristic described in following embodiment should not be considered to isolated, they mutually can be combined and be combined with each other thus reach better technique effect.

Fig. 1 is the process flow diagram of the evaluation method of embodiment of the present invention coastal geologic environment bearing capacity.

The embodiment of the present invention provides a kind of evaluation method of coastal geologic environment bearing capacity, comprising:

Step 100: the step setting up coastal geologic environment Bearing Capacity Evaluation index system;

Step 200: utilize non-structural Triangular Fuzzy Number surely to weigh the step of method and described evaluation index acquisition index weights;

Step 300: obtain geologic media bearing capacity and the step exported according to described evaluation index and described index weights.

Fig. 2 is the schematic diagram of embodiment of the present invention coastal geologic environment Bearing Capacity Evaluation index system.

In the embodiment of the present invention, described coastal geologic environment Bearing Capacity Evaluation index system 100 comprises: shell of compression 110, state layer 120 and response layer 130;

Described shell of compression 110 includes coast erosion index 111, seawater intrusion index 112, land subsidence index 113 and oil-air pressure index 114;

Described state layer 120 includes geology and geomorphology and topographic condition index 121, seashore conditional indicator 122 and structure of basement index 123;

Described response layer 130 includes the artificial response index 131 of nature.

The embodiment of the present invention, in described shell of compression 110:

Described coast erosion index 111 includes that sea level rise index 1111, maximum wave height index 1112 and mean range index 1113;

Described seawater intrusion index 112 includes storm tide index 1121, sea ice index 1122, salt water index 1123 and salinity index 1124;

Described land subsidence index 113 includes earthquake peak acceleration index 1131, geological fracture dangerous index 1132, active fault index 1133, littoral region's earthquake intensity index 1134, ground settlement index 1135 and crustal stability index 1136;

Described oil-air pressure index 114 includes shallow gas index 1141.

In the embodiment of the present invention, in described state layer 120:

Described geology and geomorphology and topographic condition index 121 include paleo-streams index 1211, Geological-environmental Quality index 1212, first marine bed foundation quality index 1213, environmental engineering subregion index 1214 and microtopography delta landforms index 1215;

Described seashore conditional indicator 122 includes coast type index 1221, offshore range index 1222, land type index 1223, underground water table index 1224 and elevation index 1225;

Described structure of basement index 123 includes quaternary geology situation index 1231.

The embodiment of the present invention, the described naturally artificial response index 131 in described response layer 130 includes coast protection works index 1311, recharge of ground water index 1312 and silt maintenance dose index 1313.

Fig. 3 is that the embodiment of the present invention utilizes non-structural Triangular Fuzzy Number surely to weigh the process flow diagram of the step of method and evaluation index acquisition index weights.

In the embodiment of the present invention, step 200: the described step utilizing non-structural Triangular Fuzzy Number surely to weigh method and described index system acquisition index weights comprises:

Step 210: the step of dividing layer building index attribute value importance ranking matrix according to described evaluation number;

Step 220: the step also building triangle fuzzy judgment matrix according to described importance ranking matrix according to non-structural mood operator;

Step 230: the step of described triangle fuzzy judgment matrix being carried out to consistency check;

Step 240: the step obtaining index weights according to the described triangle fuzzy judgment matrix meeting consistency check.

Fig. 4 is the embodiment of the present invention carries out the step of consistency check process flow diagram to triangle fuzzy judgment matrix.

In the embodiment of the present invention, step 230: described the step that described triangle fuzzy judgment matrix carries out consistency check to be comprised:

Step 231: obtain expected matrix according to described triangle fuzzy matrix and expect the step of weight;

Step 232: the step constructing the fuzzy Reciprocal Judgement Matrix of described expected matrix;

Step 233: the step being determined the Consistency Ratio of described fuzzy Reciprocal Judgement Matrix by the characteristic root of described fuzzy Reciprocal Judgement Matrix;

Step 234: according to the conforming step of the described fuzzy Reciprocal Judgement Matrix of described Consistency Ratio inspection;

Step 235: export the step meeting the described triangle fuzzy matrix of consistency check.

In the embodiment of the present invention, below the evaluation method describing coastal geologic environment bearing capacity of the present invention in detail is used for the process of the coastal geologic environment bearing capacity evaluating Laizhou Wan each department:

Set up Coastal Zone of Laizhou Bay geologic media Bearing Capacity Evaluation index system.

Step 200: utilizing non-structural Triangular Fuzzy Number surely to weigh method and described evaluation index, to obtain the steps flow chart of index weights as follows, introduces this method in detail for evaluation index shell of compression:

Divide layer building index attribute value importance ranking-F matrix.

If there is property set A=(a ₁, a ₂..., a _k), at a _mand a _nbetween do important ratio comparatively, with f _mnrepresent importance degree.If a _mcompare a _nimportant, then f _mn=1, f _nm=0; If a _ncompare a _mimportant, then f _mn=0, f _nm=1; If a _mwith an no less important, then f _mn=f _nm=0.5; And f _mm=f _nn=0.5.Then can structure attribute value importance ranking matrix-F matrix:

By each for F matrix row and descending arrangement, determine the qualitative sequence of the importance of property set.

Importance index ordinal matrix-F matrix is built according to unstructuredness fuzzy number

Table 1 shell of compression index importance ordinal matrix

Build the triangle fuzzy judgment matrix-G matrix based on mood operator.

Table 2 non-structural binary mood operator

According to the importance of attribute's value that importance ranking F matrix evaluates, with reference to non-structural Two-tuple Linguistic Information Processing mood operator (table 2), utilize the pessimism of Triangular Fuzzy Number, neutral, optimistic three kinds of attitudes provide the relative importance judgment value-G matrix between property value successively:

$G=\left[\begin{array}{cccc}(g_{11}^b,g_{11}^z,g_{11}^l)& (g_{12}^b,g_{12}^z,g_{12}^l)& ...& (g_{1k}^b,g_{1k}^z,g_{1k}^l)\\ (g_{21}^b,g_{21}^z,g_{21}^l)& (g_{22}^b,g_{22}^z,g_{22}^l)& ...& (g_{2k}^b,g_{2k}^z,g_{2k}^l)\\ & ......& & \\ (g_{k1}^b,g_{k1}^z,g_{k1}^l)& (g_{k2}^b,g_{k2}^z,g_{k2}^l)& ...& (g_{\mathrm{kk}}^b,g_{\mathrm{kk}}^z,g_{\mathrm{kk}}^l)\end{array}\right]=\left(g_{\mathrm{mn}}\right)---\left(2\right)$

In formula: for Triangular Fuzzy Number, with represent attribute a respectively _mand a _nwhen comparing, the attribute a that decision maker provides _mrelative to a _nthe most pessimistic, the most probable of importance and most optimistic estimate.Triangle fuzzy judgment matrix-G matrix is built according to non-structural mood operator.

Table 3 triangle fuzzy judgment matrix

Judgment matrix G consistency check.

To the triangle fuzzy judgment matrix-G battle array of structure, for avoiding index A more important than B, index B is more important than C, the chaos phenomenon appearance that index C is more important than A again, therefore needs to test to the consistance of judgment matrix.

Known Triangular Fuzzy Number a=(a _l, a _m, a _u), then claim

E(a)＝((1-λ)a _l+a _m+λa _u)/2

(3)

The expectation value that E (a) is Triangular Fuzzy Number a, wherein 0≤E (a)≤1,0≤λ≤1, λ value depends on the attitudes toward risk of decision maker, when λ >=0.5 illustrate decision maker be Risk-Averse, when λ≤0.5 illustrate decision maker be risk aversion, if but we in ecological evaluation process each decision maker's attitudes toward risk and preference is inconsistent or serious fissure in a party time, adopt compromise principle to compare science, in therefore general Decision-Making Evaluation process, get λ=0.5.For the fuzzy G matrix of triangle built, expected matrix-E matrix when first solving λ=0.5.

Solve E matrix norm and stick with paste Reciprocal Judgement Matrix-H matrix.

When λ=0.5, the expected matrix-E matrix and the E matrix norm that solve G matrix stick with paste Reciprocal Judgement Matrix-H matrix

Table 4 expected matrix and fuzzy Reciprocal Judgement Matrix

By Maximum characteristic root λ and the n of Fuzzy Complementary Judgment Matrices H matrix is determined H consistance scope and size:

$\mathrm{CI}=\frac{\mathrm{\λ}-n}{n-1}---\left(6\right)$

CI=0, has consistance completely; If CI is close to 0, there is good consistance; CI is larger, inconsistent more serious.For weighing the size of CI, introduce random index RI.

Table 5 random index value

Definition Consistency Ratio:

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}---\left(7\right)$

Generally, during CR<0.1, think qualified, by inspection, otherwise will matrix H be re-constructed, to h _ijadjusted.

Ask H matrix Maximum characteristic root, and carry out consistency check, E matrix norm sticks with paste Maximum characteristic root λ=3.004 of Reciprocal Judgement Matrix-H matrix, by formula (6), formula (7) solves CI=0.0045<0.1, by consistency check, the triangle fuzzy judgment matrix of structure meets consistency check.

Utilize triangle fuzzy weight equation parameter weight.

If for subjective fuzzy weight vector, wherein for index weights, tried to achieve by triangle fuzzy judgment matrix.

$\begin{array}{c}{w}_m^z=\frac{\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}}{\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}}=\frac{\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}(g_{\mathrm{mn}}^b,g_{\mathrm{mn}}^z,g_{\mathrm{mn}}^l)}{\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}(g_{\mathrm{mn}}^b,g_{\mathrm{mn}}^z,g_{\mathrm{mn}}^l)}\\ =\frac{[\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^b,\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^z,\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^l]}{[\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^b,\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^z,\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^l]}\\ =[\frac{\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^b}{\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^l},\frac{\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^z}{\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^z},\frac{\underset{n=1}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^l}{\underset{m}{\overset{k}{\mathrm{\&Sigma;}}}\underset{n}{\overset{k}{\mathrm{\&Sigma;}}}{g}_{\mathrm{mn}}^b}]\end{array}---\left(8\right)$

Wherein coast erosion 111, seawater intrusion 112, oil-air pressure 114, the pessimism of land subsidence 113 four indices, neutral, under optimistic three attitudes, weight is:

W＝((0.2879,0.3063,0.3258),(0.2364,0.2500,0.2645),(0.1788,0.1938,0.2097),(0.2364,0.2500,0.2645))

In like manner, fuzzy matrix structure is carried out, consistency check to other each layer indexs, ensures whole CI<0.1.Final index weights such as table 6 shows.

Table 6. index weights

Note: expect that weight is shown in formula (3)

Fig. 5 is the schematic diagram of the quantification of targets grade of embodiment of the present invention coastal geologic environment Bearing Capacity Evaluation index system.

According to geologic media bearing capacity calculation in the step that described evaluation index and described index weights acquisition geologic media bearing capacity also export, geologic media Bearing Capacity Evaluation formula:

$z_i=\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{r}_{\mathrm{ij}}\&CircleTimes;w_j---\left(9\right)$

In formula: Z _igeologic media bearing capacity, w _ja jth index weights, r _ijit is evaluation index.

Draw according to described geologic media Bearing Capacity Evaluation formula the bearing capacity that indices is corresponding, export the schematic diagram of the quantification of targets grade of embodiment of the present invention coastal geologic environment Bearing Capacity Evaluation index system.

Fig. 6 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under the pessimistic weight of the embodiment of the present invention.

Fig. 7 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under the neutral weight of the embodiment of the present invention.

Fig. 8 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under the optimistic weight of the embodiment of the present invention.

Fig. 9 is the bearing capacity schematic diagram of Coastal Zone of Laizhou Bay geology under embodiment of the present invention expectation weight.

In the embodiment of the present invention, can draw according to Fig. 6, Fig. 7, Fig. 8 and Fig. 9, in pessimistic, neutrality, optimism and expectation four kinds of situations, evaluation result presents high consistency, all show as HUANGHE ESTUARY, in Laizhou Bay Coastline counties and cities, the geological conditions of the Zhaoyuan in Yantai and the Gaoqing in Zibo is best, and the potential bearing capacity in its future is also larger, and the Shouguang City in Weifang and Changyi City's geological conditions poor, potential bearing capacity is less, and Binzhou, most of district such as Dongying geologic media bearing capacity is medium.Mainly because Yantai major part districts and cities are mountain regions, height above sea level is relatively high, and other areas of Laizhou Wan and HUANGHE ESTUARY are river plains, and physical features is smooth, and landforms are simple; Major part counties and cities, Binzhou distance seashore is comparatively far away, and seashore pressure is less; Dongying is located in the Yellow River estuary, and hydrocarbon resources enriches, and develops dynamics in recent years comparatively large, certainly will cause a series of such as groundwater mining, land subsidence, the problem of coast erosion; And Weifang is owing to being located in above large fracture belt, littoral counties and cities height above sea level is lower, and seawater intrusion happens occasionally, and geologic media basis is also unstable.Alternatively the geology substrate such as bright geologic media bearing capacity and local topography and geomorphology and the effect of human activity have much relations thus.

The invention provides a kind of evaluation method of coastal geologic environment bearing capacity, non-structural Triangular Fuzzy Number in the method is weighed in the process that method determines at index weights surely, each index importance degree is fully taken into account from overall aspect, then according to binary mood operator, from pessimism, neutral, optimistic three kinds of attitudes are set out to set up and are evaluated judgment matrix, the effective integration of two kinds of methods, both the logic of expert's understanding had been met, integrated survey decision maker is in pessimism again, neutral, under optimistic three kinds of different attitudes, Microscopic Indexes importance is judged, effectively can avoid the erroneous judgement of original single attitude evaluation result.Although give some embodiments of the present invention, it will be understood by those of skill in the art that without departing from the spirit of the invention herein, can change embodiment herein.Above-described embodiment is exemplary, should using embodiment herein as the restriction of interest field of the present invention.

Claims (10)

1. an evaluation method for coastal geologic environment bearing capacity, is characterized in that, comprising:

Set up the step of coastal geologic environment Bearing Capacity Evaluation index system;

Non-structural Triangular Fuzzy Number is utilized surely to weigh the step of method and described evaluation index acquisition index weights;

Geologic media bearing capacity is obtained and the step exported according to described evaluation index and described index weights.

2. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 1, it is characterized in that, described coastal geologic environment Bearing Capacity Evaluation index system comprises: shell of compression, state layer and response layer;

Described shell of compression includes coast erosion index, seawater intrusion index, land subsidence index and oil-air pressure index;

Described state layer includes geology and geomorphology and topographic condition index, seashore conditional indicator and structure of basement index;

Described response layer includes the artificial response index of nature.

3. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 2, is characterized in that, in described shell of compression:

Described coast erosion index includes that sea level rise index, maximum wave height index and mean range index;

Described seawater intrusion index includes storm tide index, sea ice index, salt water index and salinity index;

Described land subsidence index includes earthquake peak acceleration index, geological fracture dangerous index, active fault index, littoral region's earthquake intensity index, ground settlement index and crustal stability index;

Described oil-air pressure index includes shallow gas index.

4. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 2, is characterized in that, in described state layer:

Described geology and geomorphology and topographic condition index include paleo-streams index, Geological-environmental Quality index, the first marine bed foundation quality index, environmental engineering subregion index and microtopography delta landforms index;

Described seashore conditional indicator includes coast type index, offshore range index, land type index, underground water table index and elevation index;

Described structure of basement index includes quaternary geology situation index.

5. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 2, it is characterized in that, the described naturally artificial response index in described response layer includes coast protection works index, recharge of ground water index and silt maintenance dose index.

6. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 1, is characterized in that, the described step utilizing non-structural Triangular Fuzzy Number surely to weigh method and described index system acquisition index weights comprises:

The step of layer building index attribute value importance ranking matrix is divided according to described evaluation number;

Also build the step of triangle fuzzy judgment matrix according to non-structural mood operator according to described importance ranking matrix;

Described triangle fuzzy judgment matrix is carried out to the step of consistency check;

The step of index weights is obtained according to the described triangle fuzzy judgment matrix meeting consistency check.

7. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 6, is characterized in that, describedly comprises the step that described triangle fuzzy judgment matrix carries out consistency check:

Obtain expected matrix according to described triangle fuzzy matrix and expect the step of weight;

Construct the step of the fuzzy Reciprocal Judgement Matrix of described expected matrix;

The step of the Consistency Ratio of described fuzzy Reciprocal Judgement Matrix is determined by the characteristic root of described fuzzy Reciprocal Judgement Matrix;

According to the conforming step of the described fuzzy Reciprocal Judgement Matrix of described Consistency Ratio inspection;

Export the step meeting the described triangle fuzzy matrix of consistency check.

8. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 6, it is characterized in that, described index weights comprises pessimistic weight, neutral weight, optimistic weight and described expectation weight.

9. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 1, is characterized in that, the described formula obtaining expectation weight in the step of expected matrix and expectation weight that obtains according to described triangle fuzzy matrix is:

Known Triangular Fuzzy Number a=(a _l, a _m, a _u), then claim

E(a)＝((1-λ)a _l+a _m+λa _u)/2

In formula, the expectation value that E (a) is Triangular Fuzzy Number a, wherein 0≤E (a)≤1,0≤λ≤1, λ value is attitudes toward risk value.

10. the evaluation method of coastal geologic environment bearing capacity as claimed in claim 1, it is characterized in that, in the described step also exported according to described evaluation index and described index weights acquisition geologic media bearing capacity, the formula used is geologic media Bearing Capacity Evaluation formula, and described formula is as follows:

$z_i=\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{r}_{\mathrm{ij}}\&CircleTimes;w_j$

In formula, Z _igeologic media bearing capacity, w _ja jth described index weights, r _ijit is described evaluation index.