MY185446A - A method for predicting a landslide disaster - Google Patents

A method for predicting a landslide disaster

Info

Publication number
MY185446A
MY185446A MYPI2011003248A MYPI2011003248A MY185446A MY 185446 A MY185446 A MY 185446A MY PI2011003248 A MYPI2011003248 A MY PI2011003248A MY PI2011003248 A MYPI2011003248 A MY PI2011003248A MY 185446 A MY185446 A MY 185446A
Authority
MY
Malaysia
Prior art keywords
landslide
specific
variables
cartesian
landslide disaster
Prior art date
Application number
MYPI2011003248A
Inventor
Hj Lateh Habibah
Bahiraie Alireza
Abdulbasah Kamil Anton
Original Assignee
Univ Sains Malaysia
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Sains Malaysia filed Critical Univ Sains Malaysia
Priority to MYPI2011003248A priority Critical patent/MY185446A/en
Priority to PCT/MY2011/000204 priority patent/WO2013009160A2/en
Publication of MY185446A publication Critical patent/MY185446A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Physiology (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Genetics & Genomics (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Pit Excavations, Shoring, Fill Or Stabilisation Of Slopes (AREA)

Abstract

The present invention provides a method for predicting a landslide disaster on a specific area, the method comprising pre-determining data (401) having variables of the specific area that are associated to landslide, wherein the variables includes geological data, hydrological data, and landslide historical data; pre-classifying each of the variables with specific indicators and boundaries, wherein the specific indicator is associated to a rating of the respective variables, wherein the boundaries includes an upper and lower boundary for each of the variables; generating a landslide disaster prediction index (403) for the specific area, wherein the landslide disaster prediction index comprises visualizations and rankings of the specific areas through a Cartesian co-ordinate, wherein the Cartesian co-ordinate represents a risk ratio of the specific indicator; ranking the specific areas based on the Cartesian co-ordinates; and identifying a disaster risk landslide area based on the rankings of the specific areas generated from the landslide disaster prediction index. (FIG. 4)
MYPI2011003248A 2011-07-11 2011-07-11 A method for predicting a landslide disaster MY185446A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2011003248A MY185446A (en) 2011-07-11 2011-07-11 A method for predicting a landslide disaster
PCT/MY2011/000204 WO2013009160A2 (en) 2011-07-11 2011-09-13 A geometric method for predicting landslide disaste

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2011003248A MY185446A (en) 2011-07-11 2011-07-11 A method for predicting a landslide disaster

Publications (1)

Publication Number Publication Date
MY185446A true MY185446A (en) 2021-05-19

Family

ID=47506762

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2011003248A MY185446A (en) 2011-07-11 2011-07-11 A method for predicting a landslide disaster

Country Status (2)

Country Link
MY (1) MY185446A (en)
WO (1) WO2013009160A2 (en)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI592890B (en) * 2016-06-28 2017-07-21 安研科技股份有限公司 Method for generating two-dimensional flood potential map
DE102016122467A1 (en) * 2016-11-22 2018-05-24 Geo Explorers AG Method and device for estimating the risk of a naturally caused rock or / and landslide on a slope, in particular a mountain slope
CN107507396A (en) * 2017-08-09 2017-12-22 中国科学院、水利部成都山地灾害与环境研究所 A kind of method for early warning of the dangerous three-dimensional multi-point multi objective of rain-induced landslide
CN108234669A (en) * 2018-01-22 2018-06-29 长江水利委员会水文局 A kind of multi-source heterogeneous hydrographic data shared system
CN109815591B (en) * 2019-01-25 2022-09-09 杭州电子科技大学 Soil slope instability probability calculation method based on stability evidence fusion
CN109961176B (en) * 2019-03-06 2022-05-06 三峡大学 Vehicle-mounted mountain road early warning system and method based on memory recognition decision-making integrated network
WO2021002008A1 (en) * 2019-07-04 2021-01-07 日本電信電話株式会社 Learning device, prediction device, learning method, prediction method, and program
CN110363963A (en) * 2019-07-05 2019-10-22 中国矿业大学(北京) A kind of rain-induced landslide early warning system based on Elastic Wave Velocity
CN110346537B (en) * 2019-07-11 2021-11-05 中国科学院、水利部成都山地灾害与环境研究所 Method for judging potential rock landslide based on construction uplift land block and landform bulge
CN110703360A (en) * 2019-10-16 2020-01-17 西北大学 Three-dimensional effect model for landslide prediction based on rainfall intensity and threshold value
CN110703359B (en) * 2019-10-16 2021-08-24 西北大学 Hysteresis nonlinear time forecasting method for landslide forecasting by taking rainfall as main part
WO2021081603A1 (en) * 2019-11-01 2021-05-06 Visionary Machines Pty Ltd Systems and methods for generating and/or using 3-dimensional information with camera arrays
CN111461009B (en) * 2020-03-31 2023-10-24 四川九洲北斗导航与位置服务有限公司 Landslide risk assessment method and device based on high-score SAR technology and electronic equipment
CN111914330B (en) * 2020-08-07 2022-06-17 合肥市市政设计研究总院有限公司 Soil-rock combined slope stability analysis method based on graphical trial algorithm
CN113538857B (en) * 2021-07-14 2022-12-16 广东电网有限责任公司广州供电局 Landslide geological disaster early warning method, device, terminal and storage medium
CN113420515B (en) * 2021-07-19 2023-04-07 四川大学 Landslide debris flow formation evolution simulation method based on rainfall data
CN114818547A (en) * 2022-06-10 2022-07-29 重庆地质矿产研究院 Shallow landslide susceptibility assessment method based on data model
CN115083118B (en) * 2022-08-23 2022-12-16 云南省交通规划设计研究院有限公司 Multi-stage landslide early warning method in local area
CN118114992B (en) * 2024-04-28 2024-07-05 泰安市金土地测绘整理有限公司 Remote sensing satellite geological disaster early warning method

Also Published As

Publication number Publication date
WO2013009160A2 (en) 2013-01-17

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