CN105225046A - A kind of Regional Landslide sensitivity assessment data sampling method - Google Patents
A kind of Regional Landslide sensitivity assessment data sampling method Download PDFInfo
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- CN105225046A CN105225046A CN201510640270.3A CN201510640270A CN105225046A CN 105225046 A CN105225046 A CN 105225046A CN 201510640270 A CN201510640270 A CN 201510640270A CN 105225046 A CN105225046 A CN 105225046A
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Abstract
The invention discloses a kind of Regional Landslide sensitivity assessment data sampling method, the method comprises the following steps: the particular location and the bounds that obtain original each landslide in study area; The sliding mass main body landing part on each landslide is outwards expanded certain distance and obtains buffer zone, border; According to hydrologic condition and the geographic and geomorphic conditions acquisition boundary line of study area, and binding buffer district generates landslide sample area; Region beyond sample area and landslide itself is considered as non-landslide areas, chooses certain proportion as non-landslide sampled data; Sample area is sampled to each factor of influence on landslide respectively, and generates landslide and non-Landslide Features sampled data set.The present invention with generation area of coming down for starting point, searching has landslide condition and not destroyed region is Landslide Features region, and complete the sampling work of Regional Landslide in sample region as a comparison with non-landslide characteristic area, for Regional Landslide sensitivity assessment provides a kind of effective data sampling method.
Description
Technical field
The present invention relates to technical field of preventing and reducing natural disasters, particularly relate to a kind of Regional Landslide sensitivity assessment data sampling method.
Background technology
Landslide disaster belongs to one of most important Disasters Type in geologic hazard, has the features such as Distribution Area is wide, occurrence frequency is high, movement velocity is fast, casualty loss is serious.Up to the present, every mountain terrain having human living and engineering activity in global range, nearly all has landslide disaster to occur, become frequency in each calamity kind the highest, lose maximum geologic hazard type.According to the national geologic hazard circular display that China Institute for Geo-Environmental Monitoring issues, there is more than 9000, landslide every year in 2012-2014 annual in China.In addition, in a lot of country, the economic loss caused by coming down is also more than other disasteies.Therefore, the pests occurrence rule on further investigation landslide, carries out Landslide Prediction, has very important science and realistic meaning.And the first step gordian technique of carrying out Landslide Prediction carries out landslide sensitivity assessment exactly, its result directly affects the accuracy of subsequent prediction work.
Landslide sensitivity assessment is the method to the locus prediction of landslide generation in the future, the main thought of current sensitivity assessment predicts that landslide is in the possibility occurred in the future by the condition that landslide occurs in the past, and namely following landslide occurs to have similar geology, landforms and environmental baseline etc. by with the landslide that the past has occurred.Just because of this, the main foundation of this thinking from past and the landslide that recently occurs, carried out data sampling be used for the rational sensitivity assessment model of structure one.The different method of samplings has larger impact to structure sensitivity assessment model.The present invention completes to meet above-mentioned requirements, its objective is to design a kind of effective data sampling method to Regional Landslide sensitivity assessment.
Summary of the invention
The technical problem to be solved in the present invention is for defect of the prior art, provides a kind of Regional Landslide sensitivity assessment method of sampling, and the method can improve landslide sensitivity assessment precision, for follow-up Landslide Prediction and the work of preventing and reducing natural disasters provide precondition.
The technical solution adopted for the present invention to solve the technical problems is: a kind of Regional Landslide sensitivity assessment data sampling method, comprises the following steps:
1) in conjunction with particular location and the bounds on each landslide original in existing historical data and obtainable scene and Real time data acquisition study area;
2) on the basis on original border, landslide, the landing part of sliding mass main body is outwards expanded the buffer zone of certain distance, be considered as there is landslide condition again not by the region of landslide destruction;
3) according to hydrologic condition and the geographic and geomorphic conditions acquisition boundary line of study area, and binding buffer district generates the landslide sample area of landslide sensitivity assessment;
Specific as follows:
Described hydrologic condition is miniflow territory dividing line, the network of waterways etc., and described geographic and geomorphic conditions is ramp unit boundary line.
The sample area of landslide sensitivity assessment is by above-mentioned two boundary lines and steps 2) the Minimum Area that surrounds of boundary line, buffer zone deduct the region that border, landslide own surrounds after form the landslide sample area of final landslide sensitivity assessment;
4) region beyond landslide sample area and landslide itself is considered as non-landslide areas, chooses a certain proportion of regional extent in this non-landslide areas as non-landslide sampled data;
5) sampled to each factor of influence on landslide respectively in landslide and non-landslide sample area, and generate Landslide Features sampled data set and non-Landslide Features sampled data set;
Described factor of influence comprises and comprises Flood inducing factors and incitant.
By such scheme, described step 1) in data comprise Field Research data, history land slide data, remotely-sensed data; The particular location on described landslide and bounds are represented by the polar plot of the band coordinate system on the border and interior zone that comprise landslide.
By such scheme, described step 5) in Flood inducing factors comprise the slope gradient, slope aspect, elevation, rock stratum type, slope form, vegetation index etc., incitant comprises earthquake, rainfall, Human dried bloodstains etc.
The beneficial effect that the present invention produces is: the present invention is that Regional Landslide sensitivity assessment provides a kind of effective method of sampling, with generation area of coming down for starting point, searching has landslide condition and is not destroyed region thus forms Landslide Features region, and complete the sampling work of Regional Landslide in sample region as a comparison with non-landslide characteristic area, in this, as the input data of sensitivity assessment, complete sensitivity indices to calculate and grade classification work, this method of sampling can improve susceptibility grade classification precision.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is the structural representation of the embodiment of the present invention;
Fig. 2 is the sample region schematic diagram when buffer zone is less than other conditions of the embodiment of the present invention;
Fig. 3 is the sample region schematic diagram when buffer zone is greater than other conditions of the embodiment of the present invention;
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Fig. 1 is the process flow diagram of the Regional Landslide susceptibility method of sampling according to the embodiment of the present invention.Composition graphs 1 is described in detail a kind of Regional Landslide sensitivity assessment method of sampling of the present invention for 420 landslide, area, earthquake Bao Sheng township, Lushan sensitivity assessments, comprises the following steps:
(1) obtain particular location and the bounds on original each landslide in study area.Utilize earthquake that the unmanned plane image on the same day and field study occur, be extracted 226 Earthquake-induced Landslides, wherein maximum have 45000m
2, minimum has 100m
2, there is 5000m on average landslide
2;
(2) as shown in the buffer zone of Fig. 2 and Fig. 3, on the basis on original border, landslide, the landing part of sliding mass main body is outwards expanded the buffer zone of certain distance, be considered as there is landslide condition again not by the region of landslide destruction.
The landing part of sliding mass main body refers to come down rear wall border as top, and with the border of sliding mass except landslide tongue, landslide rear wall for side, by top together with side for boundary expands the buffer zone of m distance laterally.The value of buffer zone distance m is arranged as the case may be by those skilled in the art, in the present embodiment using 100 meters as buffer distance.
(3) according to the hydrologic condition of study area and the specific rules of geographic and geomorphic conditions setting extraction sample region.
Using miniflow territory dividing line as hydrologic condition in the present embodiment, ramp unit boundary line is as topographic condition.Get boundary of landslide line in miniflow territory dividing line and ramp unit boundary line more close to an one of boundary condition as sampling buffer.If this border exceedes the buffer zone expanding 100 meters of distances laterally, then using 100 meters of buffer zones as boundary line, if this border is less than 100 meters apart from boundary of landslide distance, then using this border as boundary line, buffer zone, thus the sample border forming each landslide is peripheral, and then deducts the region that border, each landslide own surrounds and form landslide sample area.Two kinds of situation landslide sample area schematic diagram as shown in Figures 2 and 3.
(4) the region beyond landslide sampling and landslide itself is considered as non-land slide data, chooses a certain proportion of regional extent in this region as non-landslide sampled data.Select random selecting principle in present embodiment, get the region of size same with the sample area that comes down as non-landslide sampled data.
(5) sampled to each factor of influence on landslide respectively in landslide and non-landslide sample area, and generate Landslide Features sampled data set and non-Landslide Features sampled data set.Choose ground elevation, the gradient, slope aspect, stratum, ramp structure, be Flood inducing factors apart from tomography mean distance, apart from water system mean distance, normalized differential vegetation index, earthquake peak acceleration, seismic intensity are incitant.In the specific implementation, those skilled in the art utilize related software that data sampling is carried out to this multiple factor respectively in step landslide (3) and (4) and non-landslide sample area.
(6) will come down and in non-landslide sampled data input sensitivity assessment model, calculate landslide disaster sensitivity indices.Using 70% data in landslide and non-landslide areas as in input data input sensitivity assessment model, sensitivity assessment model selection support vector machine.Sensitivity indices value is calculated by this assessment models.
(7), according to sensitivity indices value, utilize stage division to realize susceptibility grade classification.By natural breakpoint stage method to landslide susceptibility divided rank, generate the responsive grade in landslide, comprise high sensitivity, high sensitivity, middle sensitivity, low sensitivity and extremely low responsive Pyatyi.
By statistics (table 1 and table 2), the accuracy (comprising the landslide ratio sum in high explosive area, high-risk danger zone and middle explosive area) that known this method calculates landslide is 92.22%, under Receiver operating curve (ROC), area is 99.3%, the accuracy on the landslide that routine sampling method (namely with own region of coming down) obtains is 82.23%, and under Receiver operating curve, area is 91.6%.This illustrates that this method of sampling can improve the precision of Regional Landslide susceptibility grade classification.
This method of sampling of table 1 experiment statistics result
Table 2 routine sampling methods experiment statistics
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improve and convert the protection domain that all should belong to claims of the present invention.
Claims (3)
1. a Regional Landslide sensitivity assessment data sampling method, is characterized in that, comprises the following steps:
1) particular location and the bounds on original each landslide in study area is obtained in conjunction with different pieces of information;
2) on the basis on original border, landslide, the landing part of sliding mass main body is outwards expanded the buffer zone of certain distance, be considered as there is landslide condition again not by the region of landslide destruction;
3) according to hydrologic condition and the geographic and geomorphic conditions acquisition boundary line of study area, and binding buffer district generates the landslide sample area of landslide sensitivity assessment;
Specific as follows:
Described hydrologic condition is miniflow territory dividing line, and described geographic and geomorphic conditions is ramp unit boundary line;
The landslide sample area of final landslide sensitivity assessment is formed after the sample area of landslide sensitivity assessment deducts by the Minimum Area that above-mentioned two boundary lines and these three boundary lines, boundary line, buffer zone surround the region that border, landslide own surrounds;
4) region beyond landslide sample area and landslide itself is considered as non-landslide areas, chooses a certain proportion of regional extent in this non-landslide areas as non-landslide sampled data;
5) sampled to each factor of influence on landslide respectively in landslide and non-landslide sample area, and generate Landslide Features sampled data set and non-Landslide Features sampled data set;
Described factor of influence comprises and comprises Flood inducing factors and incitant.
2. method according to claim 1, is characterized in that, in described step 1), data comprise Field Research data, history land slide data, remotely-sensed data; The particular location on described landslide and bounds are represented by the polar plot of the band coordinate system on the border and interior zone that comprise landslide.
3. method according to claim 1, is characterized in that, in described step 5), Flood inducing factors comprises the gradient, slope aspect, ground elevation, rock stratum type, slope form, vegetation index, and incitant comprises earthquake, rainfall, Human dried bloodstains.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106372352A (en) * | 2016-09-13 | 2017-02-01 | 江苏大学 | Landslide area detection device and method |
| CN107341586A (en) * | 2017-05-12 | 2017-11-10 | 成都理工大学 | A kind of computational methods of the geological disaster occurrence frequency based on rainfall |
| CN107463991A (en) * | 2017-06-28 | 2017-12-12 | 西南石油大学 | A kind of Regional Landslide method for evaluating hazard based on slopes unit and machine learning |
| CN110427655A (en) * | 2019-07-09 | 2019-11-08 | 中国地质大学（武汉） | A kind of extracting method for the sensitiveness that comes down |
| CN111047616A (en) * | 2019-12-10 | 2020-04-21 | 中国人民解放军陆军勤务学院 | Remote sensing image landslide target constraint active contour feature extraction method |
| CN116108758A (en) * | 2023-04-10 | 2023-05-12 | 中南大学 | Landslide susceptibility evaluation method |
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2015
- 2015-09-30 CN CN201510640270.3A patent/CN105225046A/en active Pending
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| MEHMET LÜTFI SÜZEN 等: "Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment,Turkey", 《ENGINEERING GEOLOGY》 * |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106372352A (en) * | 2016-09-13 | 2017-02-01 | 江苏大学 | Landslide area detection device and method |
| CN107341586A (en) * | 2017-05-12 | 2017-11-10 | 成都理工大学 | A kind of computational methods of the geological disaster occurrence frequency based on rainfall |
| CN107463991A (en) * | 2017-06-28 | 2017-12-12 | 西南石油大学 | A kind of Regional Landslide method for evaluating hazard based on slopes unit and machine learning |
| CN110427655A (en) * | 2019-07-09 | 2019-11-08 | 中国地质大学（武汉） | A kind of extracting method for the sensitiveness that comes down |
| CN110427655B (en) * | 2019-07-09 | 2023-05-26 | 中国地质大学（武汉） | Landslide sensitive state extraction method |
| CN111047616A (en) * | 2019-12-10 | 2020-04-21 | 中国人民解放军陆军勤务学院 | Remote sensing image landslide target constraint active contour feature extraction method |
| CN116108758A (en) * | 2023-04-10 | 2023-05-12 | 中南大学 | Landslide susceptibility evaluation method |
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Application publication date: 20160106 |