Coupling TRIGRS and TOPMODEL in shallow landslide prediction. 1 Presenter: 王俊皓 Advisor: 李錫堤老師 Date: 2016/10/13

Similar documents
Assessment of regional rainfall-induced landslides using 3S-based hydro-geological model

GIS Application in Landslide Hazard Analysis An Example from the Shihmen Reservoir Catchment Area in Northern Taiwan

Statistical Seismic Landslide Hazard Analysis: an Example from Taiwan

Landslides & Debris Flows

A comparison between analytic approaches to model rainfall-induced development of shallow landslides in the central Apennine of Italy

16 Rainfall on a Slope

Basin characteristics

The Comprehensive Slope-land Disaster Magnitude Assessment for Landslide and Debris Flow

Date : 2018/10/18 Presenter : Yu-Cheng Tai Advisor : Chyi-Tyi Lee

In all of the following equations, is the coefficient of permeability in the x direction, and is the hydraulic head.

Governing Rules of Water Movement

Identification of Rainfall-Induced Slope Failures: A Case Study in Hualien

Stability Analysis of Landslide Dam under Rainfall

PUBLICATIONS. Water Resources Research. Geomorphological control on variably saturated hillslope hydrology and slope instability

Simulation of hydrologic and water quality processes in watershed systems using linked SWAT-MODFLOW-RT3D model

Hendra Pachri, Yasuhiro Mitani, Hiro Ikemi, and Ryunosuke Nakanishi

A GEOTECHNICAL-HYDROLOGICAL APPROACH FOR DEFINING CRITICAL RAINFALL-INDUCED SHALLOW LANDSLIDES AND WARNING SYSTEM AT LARGE SCALE

ψ ae is equal to the height of the capillary rise in the soil. Ranges from about 10mm for gravel to 1.5m for silt to several meters for clay.

Predicting of Shallow Slope Failure Using Probabilistic Model: a Case Study of Granitic Fill Slope in Northern Thailand

12 SWAT USER S MANUAL, VERSION 98.1

arxiv: v2 [physics.geo-ph] 14 Mar 2014

3D Slope Stability Analysis for Slope Failure Probability in Sangun mountainous, Fukuoka Prefecture, Japan

LANDSLIDES: FORCE BALANCE AND SOIL WATER

Floodplain modeling. Ovidius University of Constanta (P4) Romania & Technological Educational Institute of Serres, Greece

Surface Processes Focus on Mass Wasting (Chapter 10)

Landslide Hazard Assessment Models at Regional Scale (SciNet NatHazPrev Project)

Deterministic Rainfall Induced Landslide Approaches, Advantage and Limitation

Need of Proper Development in Hilly Urban Areas to Avoid

Hydrologic Modelling of the Upper Malaprabha Catchment using ArcView SWAT

Discussion of Response of a residual soil slope to rainfall 1

Modelling of decay chain transport in groundwater from uranium tailings ponds

C. Lanni(1), E. Cordano(1), R. Rigon(1), A. Tarantino(2)

Lab 4: Slope stability and landslide mapping

Received: 29 November 2009 / Accepted: 12 November 2010 / Published online: 1 December 2010 Ó Springer Science+Business Media B.V.

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #4: Continuity and Flow Nets

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #5: Groundwater Flow Patterns. Local Flow System. Intermediate Flow System

Mapping of Rainfall-Induced Landslides in Ottawa

Jurassic earthquake sequence recorded by multiple generations of sand blows, Zion National Park, Utah

Rivers T. Perron

Soils, Hydrogeology, and Aquifer Properties. Philip B. Bedient 2006 Rice University

Extra Credit Assignment (Chapters 4, 5, 6, and 10)

MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION

Hydrological modeling and flood simulation of the Fuji River basin in Japan

Wetland occurrence in relation to topography: a test of topographic indices as moisture indicators

!" &#'(&) %*!+,*" -./0"1$ 1% % % - % 8 99:; < % % % % = 1. % % 2 /0 2 8 $ ' 99!; & %% % 2,A 1% %,1 % % % 2 3 %3 % / % / "1 % ; /0 % 2% % % %36

Analysis of soil failure modes using flume tests

Transient Analysis on Infiltration and Stability for Unsaturated Soils in Busan Landslide Area

Prof. B V S Viswanadham, Department of Civil Engineering, IIT Bombay

Delineation of Groundwater Potential Zone on Brantas Groundwater Basin

Investigation of landslide based on high performance and cloud-enabled geocomputation

IX. Mass Wasting Processes

1D Verification Examples

Deterministic Landslide Stability Analysis: an example from NW Oregon

Filling Pond Head vs Volume Functions

Darcy s Law, Richards Equation, and Green-Ampt Equation

ACCURACY OF DIGITAL ELEVATION MODEL ACCORDING TO SPATIAL RESOLUTION

Groundwater Modeling for Flow Systems with Complex Geological and Hydrogeological Conditions

Analysis of soil failure modes using flume tests

Supplementary Information Methods:

&

Quantifying shallow subsurface flow and salt transport in the Canadian Prairies

A Preliminary Finite-Element Analysis of a Shallow Landslide in the Alki Area of Seattle, Washington

MORPHOMETRIC ANALYSIS OF WATERSHEDS IN THE KUNIGAL AREA OF TUMKUR DISTRICT, SOUTH INDIA USING REMOTE SENSING AND GIS TECHNOLOGY

Generation of Land Disaster Risk Map from LANDSAT TM and DTM data. Masataka TAKAGI*, Shunji MURAI* and Takashi AKIYAMA **

Slope Stability. loader

Luca Comegna, PhD Centro euro-mediterraneo per i Cambiamenti Climatici, CMCC

THE PREDICTION OF HILLSLOPE FLOW PATHS FOR DISTRIBUTED HYDROLOGICAL MODELLING USING DIGITAL TERRAIN MODELS

ENGINEERING HYDROLOGY

7 Flood Prediction in Japan and the Need for Guidelines for Flood Runoff Modelling

Pit Slope Optimization Based on Hydrogeologic Inputs

1 BASIC CONCEPTS AND MODELS

Advanced Hydrology Prof. Dr. Ashu Jain Department of Civil Engineering Indian Institute of Technology, Kanpur. Lecture 6

Slope Stability Analysis through Integration of Ground Measurements and Remote Sensing Data

Flow toward Pumping Well, next to river = line source = constant head boundary

Turbulence is a ubiquitous phenomenon in environmental fluid mechanics that dramatically affects flow structure and mixing.

4.11 Groundwater model

USING GIS TO IDENTIFY POTENTIAL AREAS SUSCEPTIBLE TO FLOOD. CASE STUDY: SOLONE RIVER

Inverse Distance Weighting Interpolated Soil Properties and Their Related Landslide Occurrences

UGRC 144 Science and Technology in Our Lives/Geohazards

CHARACTERISTICS OF SEDIMENT TRANSPORT IN SWASH ZONE DUE TO SATURATED-UNSATURATED SLOPED BEACH

Infiltration Characteristics of Granitic Residual Soil of Various Weathering Grades

Drainage Basin Geomorphology. Nick Odoni s Slope Profile Model

' International Institute for Land Reclamation and Improvement. 2 Groundwater Investigations. N.A. de Ridder'? 2.1 Introduction. 2.

Simulating interactions between saturated and unsaturated storage in a conceptual runoff model

Homogenization and numerical Upscaling. Unsaturated flow and two-phase flow

C) D) 3. Which graph best represents the relationship between soil particle size and the rate at which water infiltrates permeable soil?

WATER ON AND UNDER GROUND. Objectives. The Hydrologic Cycle

Landslide Computer Modeling Potential

GEOMECHANICAL MODELING OF THE STEINERNASE LANDSLIDE Alessio Ferrari, Lyesse Laloui and Christophe Bonnard

Each basin is surrounded & defined by a drainage divide (high point from which water flows away) Channel initiation

Evaluation of Landslide Hazard Assessment Models at Regional Scale (SciNet NatHazPrev Project)

Application of GIS to derive Hydrological Response Units for hydrological modelling in the Brol catchment, Germany

Darcy s Law. Darcy s Law

2 Development of a Physically Based Hydrologic Model of the Upper Cosumnes Basin

Simulated effect of a forest road on near-surface hydrologic response and slope stability

Hydrological process simulation in the earth dam and dike by the Program PCSiWaPro

INDIAN INSTITUTE OF SCIENCE STOCHASTIC HYDROLOGY. Course Instructor : Prof. P. P. MUJUMDAR Department of Civil Engg., IISc.

6. Circle the correct answer: SINK A drains faster or SINK B drains faster Why?

Towards a real-time susceptibility assessment of rainfall-induced shallow landslides on a regional scale

Dynamique des rivières. res

Transcription:

Coupling TRIGRS and TOPMODEL in shallow landslide prediction 1 Presenter: 王俊皓 Advisor: 李錫堤老師 Date: 016/10/13

Outline Introduction Literature review Methodology Pre-result Future work

Introduction 3 Motivation Shallow landslide is influenced by groundwater table depth of soil layer, predicting groundwater table depth can analysis slope stability effectively. Coupling hydrology theory to considerate lateral recharge of groundwater.

Introduction 4 Approaches to evaluate landslide Statistical approaches : Logistic Regression. Deterministic approaches : Physically-based models Steady state model : SHALSTAB MODEL(Montgomery et al., 1994) Transient model : TRIGRS (Baum et al., 00) Weight Slope angle Friction force

Introduction 5 Water behavior of a catchment Rainfall Infiltration Ground surface? Surface runoff Percolation River Groundwater flow Groundwater table Seepage

Introduction 6 Flow chart Geology and hydrology parameters Hydrological model(trigrs) Refine groundwater table depth with TOPMODEL Infinite slope model Prediction of landslide occurrence

Literature review 7 Literature review Combining an infinite-slope stability calculation with a transient, one-dimensional analytic solution for pore pressure response to transient rainfall infiltration. (Iverson, 000; Baum et al., 00; Savage et al., 003; Godt, 004) TRIGRS models were used for slope stability analysis in Taiwan. (C.C. Wu, 006; P.C. Wang, 007; S.H. Chung, 008) Concept of topographic index, ln(a/tanβ), and TOPMODEL. (Beven and Kirkby, 1979) A hydrological simulation based on a modified version of TOPMODEL was developed to estimate the temporal groundwater level for conducting the slope-instability analysis. (K.T. Lee, 009) Coupling TRIGRS and TOPMODEL. (H.W. Lee, 011)

Methodology 8 Diffusion equation(iverson, 000): φ t = ( D 0 cos δ ) φ z φ: Groundwater pressure head [L] t: Time [T] δ: Slope angle [ ] D 0 : Saturated hydraulic diffusivity [L /T] z: Depth in vertical direction [L] φ Z, t = Z d z cos δ I ZLT + N n=1 N n=1 InZ InZ TRIGRS(Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis) (Baum et al., 00) A solution for pore pressure in the case of an impermeable basal boundary at a finite depth: K s D 0 H t t K n [ s cos δ (t t n)] D 0 Steady state H t t K n+1 [ s cos δ (t t n+1)] 1 m=1 1 m=1 ierfc ierfc Z: Vertical coordinate direction depth below the ground surface [L] t: Time [T] d z : Steady-state depth of the water table measured in the vertical direction [L] I ZLT : Steady (initial) surface flux [L/T] I nz : Surface flux of a given intensity for the n th time interval [L/T] d Lz : Depth of the impermeable basal boundary measured in the Z direction [L] N: Total number of time intervals H t t n : Heaviside step function and nt is the time at the th n time interval in the rainfall infiltration sequence ierfc x = 1 π e x x erfc(x) erfc x = x π 0 e t dt m 1 d Lz (d Lz Z) D 0 cos δ (t t n)] 1 m 1 d Lz (d Lz Z) D 0 cos δ (t t n+1)] (complementary error function) φ Z, t =0 Z = Groundwater table depth 1 + ierfc + ierfc m 1 d Lz + (d Lz Z) D 0 cos δ (t t n)] 1 m 1 d Lz + (d LZ Z) D 0 cos δ (t t n+1)] 1

Methodology 9 TOPMODEL(TOPgraphy based hydrological MODEL) (Beven. et al., 1979) TOPMODEL T is exponental decreasing with groundwater depth: T = T 0 e (z j m ) T: Lateral transmissivity of aquifer [L /T] T 0 : Lateral saturated transmissivity of ground surface [L /T] z j : Groundwater table depth in j-th grid [L] m: Coefficient of soil [L] S rz : Root zone S uz : Unsaturated zone D:Soil Depth Z w :Water table height q v :Vertical infiltration rate S rz S uz Groundwater table q v Z w

Methodology TRIGRS 10 Refine groundwater table depth a z j = z + m λ ln tan β j λ: Average topographic index m: Coefficient of soil [L] a: Specific catchment area [L] z: Mean groundwater depth of a catchment [m] TI(topographic index )= ln a tan β Unit contour length b Specific catchment Catchment area Area a=a/b a = A/b Contributing area A Stream line Contour line

11 Infinite Slope MODEL FS = resistance force driving force = τ r τ d Z = C + (γ sz γ w Z w )cos β tan ψ γ s Z sin β cos β C: Cohesion [M/LT ] γ s : Total unit weight of soil [M/L T ] γ w : Water unit weight [M/L T ] Z : Soil depth [L] Z w : Groundwater height [L] β: Slope angle [ ] ψ: Friction angle [ ] Groundwater table FS>1 Stable FS<1 Unstable β Weight Bedrock Friction force Z w

Pre-result 1 Sub-river basin of Tahan river basin: Piya (H.W. Lee, 011) Elevation (m)

13 C(cohesion) δ(slope angle) (N/m ) ( ) Pre-result Input parameter NDVI i, j + 1 C = C max Parameter Production Cohesion (Chung, 008) Slope angle Calculate from DTM. d Lz (depth of soil) Depth of soil (Chung, 008) (m)

14 Pre-result K s (hydraulic conductivity) (m/s) γ s (total unit weight of soil) Input parameter (N/m 3 ) Parameter Production Hydraulic conductivity (Chung, 008) Total unit weight of soil (Chung, 008) D 0 (diffusivity) Diffusivity (Chung, 008) (m /s)

Pre-result 15 Input parameter Parameter Production W i (initial groundwater depth) (m) Initial groundwater depth (Lee, 008) Topographic index(ti) (Lee, 008) Soil coefficient(m = 0.06) (Lee, 008) TI(topogratphic index) a z j = z + m λ ln tan β j λ: Average topographic index (5.384) m: Modulus parameter [L] (0.06) a: Specific catchment area [L] z: Mean groundwater depth of a catchment [m] TI(topographic index )= ln a tan β

Pre-result Pre-Result 16 Assume uniform rainfall (m) (m)

Future work 17 Future work Select new rainfall event and digit landslide inventory. Require more geology and hydrology parameters: Field sampling, Field test, Laboratory test.

18 Thanks for attention!