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Internal and External Factors
1) Stochastic Nature of landslide
2) Landslide prediction
1) Due to natural factors
• Rainfall (Temporal)
• Soil type / Slop profile (Spatial)
1) Due to investment made in landslide aversion techniques
3) Types of damages caused due to landslides
1) Fatality
2) Injury
3) Property damages
4) Economic effects of damages caused
1) Player’s income
2) Player’s property wealth
Model Description
Probability of landslide = (Weight of Investment(W)) * (Probability of
landslide due to investment) + (1-W) * (Probability of landslide due to
natural factors)
Probability of landslide due to natural factors = (Spatial Probability of
Landslide) * (Temporal Probability of Landslide)
Probability of landslide due to investment is based upon public goods
game’s expected payoff equation(Hasson R, 2010)
Results from Model
Interactive Landslide Simulator (http://pratik.acslab.org)
Akshit Arora (B.E. Computer Engg., 101303012) | Varun Dutt and Pratik Chaturvedi | Indian Institute of Technology (IIT) Mandi, Himachal Pradesh, India - 175005
Background
Abstract
Previous research shows that people living in landslide prone area
have a poor understanding about causes of landslides and what they
can do to minimize the damage.
The model we developed involves public contribution for landslide
aversion. We also developed a web-based game, which makes
people invest against landslides and experience the resulting
consequences via messages and imagery.
This game can be used to improve public understanding about
landslides, for effective policy-making on natural hazards like
landslides and for educating children in school.
Future work in the simulator involves: 1) Making it a multi-player game
instead of the current single-player version. 2) incorporating
regional languages into the simulator 3) making the simulation
culture independent.
Flowchart
References
• Prakash S. (December 2012). Historical Records of Socio-economically
Significant Landslides in India
• Dutt V., Gonzalez C. (April, 2012). Human Control of Climate Change
• Dutt V., Ahn Y.S., Gonzalez C. (January, 2011). Cyber Situation Awareness:
Modeling the Security Analyst in a Cyber-Attack Scenario through
Instance-Based Learning
• Hasson R (2010). Climate Change in a Public Goods Game: Investment
Decision in Mitigation versus Adaptation
• Geosciences Group (July, 2015). Experimental Landslide Early Warning
System for Rainfall Triggered Landslides along Rishikesh-Badrinath,
Rishikesh-Uttarkashi-Gaumukh, Chamoli-Okhimath, Rudraprayag-Kedarnath
and Pithoragarh-Malpa route corridors, Uttarakhand: Approach document
Mandi district of Himachal Pradesh is extremely vulnerable to
natural disasters due to its fragile geology, active tectonics, high relief,
critical slopes and intense rainfall.
Previous research shows that public’s understanding of causes and
consequences of landslide disaster and their landslide risk perception
is very different from what it ought to be.
A survey conducted recently in Khaliar area of Mandi District,
indicated that people living in landslide prone area had a lot of
misconceptions about causes of landslides. Also, people had very
little knowledge about what to do in an event of a landslide.
(Chaturvedi & Dutt, 2015)
Research Objectives
• Develop a computational model on landslide problem, which
includes both environment and human effects.
• Develop a web-based game using the computational model of
landslides and knowledge about web-based technologies like
PHP and MySQL.
Landslide Model Description
• Technologies Used: HTML, CSS, PHP, MySQL, Java Script,
Bootstrap Framework, Impress JS (open source presentation
framework), HighCharts API
• Tools used: Adobe Type Kit, Adobe Brackets, XAMPP, Trello
Future Work
1) Making it a multi-player game instead of the current single-
player version.
2) incorporating regional languages into the simulator.
3) making the simulation culture independent.
4) Using the risk perception profile for effective policy decisions
5) Using the simulator as a teaching resource in schools
Project Video:
http://bit.do/akshit_arora_101303012

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Developing Interactive Landslide Simulator (Poster)

  • 1. Internal and External Factors 1) Stochastic Nature of landslide 2) Landslide prediction 1) Due to natural factors • Rainfall (Temporal) • Soil type / Slop profile (Spatial) 1) Due to investment made in landslide aversion techniques 3) Types of damages caused due to landslides 1) Fatality 2) Injury 3) Property damages 4) Economic effects of damages caused 1) Player’s income 2) Player’s property wealth Model Description Probability of landslide = (Weight of Investment(W)) * (Probability of landslide due to investment) + (1-W) * (Probability of landslide due to natural factors) Probability of landslide due to natural factors = (Spatial Probability of Landslide) * (Temporal Probability of Landslide) Probability of landslide due to investment is based upon public goods game’s expected payoff equation(Hasson R, 2010) Results from Model Interactive Landslide Simulator (http://pratik.acslab.org) Akshit Arora (B.E. Computer Engg., 101303012) | Varun Dutt and Pratik Chaturvedi | Indian Institute of Technology (IIT) Mandi, Himachal Pradesh, India - 175005 Background Abstract Previous research shows that people living in landslide prone area have a poor understanding about causes of landslides and what they can do to minimize the damage. The model we developed involves public contribution for landslide aversion. We also developed a web-based game, which makes people invest against landslides and experience the resulting consequences via messages and imagery. This game can be used to improve public understanding about landslides, for effective policy-making on natural hazards like landslides and for educating children in school. Future work in the simulator involves: 1) Making it a multi-player game instead of the current single-player version. 2) incorporating regional languages into the simulator 3) making the simulation culture independent. Flowchart References • Prakash S. (December 2012). Historical Records of Socio-economically Significant Landslides in India • Dutt V., Gonzalez C. (April, 2012). Human Control of Climate Change • Dutt V., Ahn Y.S., Gonzalez C. (January, 2011). Cyber Situation Awareness: Modeling the Security Analyst in a Cyber-Attack Scenario through Instance-Based Learning • Hasson R (2010). Climate Change in a Public Goods Game: Investment Decision in Mitigation versus Adaptation • Geosciences Group (July, 2015). Experimental Landslide Early Warning System for Rainfall Triggered Landslides along Rishikesh-Badrinath, Rishikesh-Uttarkashi-Gaumukh, Chamoli-Okhimath, Rudraprayag-Kedarnath and Pithoragarh-Malpa route corridors, Uttarakhand: Approach document Mandi district of Himachal Pradesh is extremely vulnerable to natural disasters due to its fragile geology, active tectonics, high relief, critical slopes and intense rainfall. Previous research shows that public’s understanding of causes and consequences of landslide disaster and their landslide risk perception is very different from what it ought to be. A survey conducted recently in Khaliar area of Mandi District, indicated that people living in landslide prone area had a lot of misconceptions about causes of landslides. Also, people had very little knowledge about what to do in an event of a landslide. (Chaturvedi & Dutt, 2015) Research Objectives • Develop a computational model on landslide problem, which includes both environment and human effects. • Develop a web-based game using the computational model of landslides and knowledge about web-based technologies like PHP and MySQL. Landslide Model Description • Technologies Used: HTML, CSS, PHP, MySQL, Java Script, Bootstrap Framework, Impress JS (open source presentation framework), HighCharts API • Tools used: Adobe Type Kit, Adobe Brackets, XAMPP, Trello Future Work 1) Making it a multi-player game instead of the current single- player version. 2) incorporating regional languages into the simulator. 3) making the simulation culture independent. 4) Using the risk perception profile for effective policy decisions 5) Using the simulator as a teaching resource in schools Project Video: http://bit.do/akshit_arora_101303012