November 25, 2019 - World Bankpubdocs.worldbank.org/en/846231574709869505/Dorji-Gyeltshen1.pdf ·...
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November 25, 2019
Transcript of November 25, 2019 - World Bankpubdocs.worldbank.org/en/846231574709869505/Dorji-Gyeltshen1.pdf ·...
November 25, 2019
November 25, 2019
Road Category Length (km)
PNH 1,843.77
SNH 970.58
District Road 2,097.24
Urban Road 423.28
Farm Road 11,353.99
Access Road 1,668.96
Total 18,351.52
Network Density –0.477km/Sq.km
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POWERFUL RIVERS MOUNTAINOUS OROGRAPHY FAULTS CROSS THE COUNTRY
HEAVY RAINFALL & EARTHQUAKES
FLOODING / FLASH FLOODS + LANDSLIDES
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Year 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
Rainfall (mm) 120.80 155.00 120.10 170.00 162.50 1.10 167.00 165.40 285.40 270.00 290.40November 25, 2019
290.4270
285.4
165.4 167
2019 2018 2017 2016 2015
Annual Rainfall Graph
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YearTotal Assessed Damage
Available Fund
Fund Deficit
2008-2009 135.951 8.000 127.951
2009-2010 185.546 110.000 75.546
2010-2011 197.209 110.000 87.209
2011-2012 115.419 81.000 34.419
2012-2013 237.121 116.652 120.469
2013-2014 206.474 141.088 65.386
2014-2015 226.453 156.735 69.718
2015-2016 300.374 187.166 113.208
2016-2017 251.864 202.000 49.864
2017-2018 295.030 167.000 128.030
2018-2019 317.760 187.000 130.760
2019-2020 330.030 187.000 143.030
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Total Assessed
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Total damage cost has been doubled in this 10 years
GEOHAZARD RISK MANAGEMENT AND RESILIENT ASSET MANAGEMENT IN BHUTAN
CAPACITY DEVELOPMENT ON COUNTERMEASURES OF SLOPE DISASTER ON ROADS IN BHUTAN
November 25, 2019
CLIMATE PROFFING OF ROADS IN BHUTAN
(Guideline on design, construction and maintenance of climate-resilient road infrastructure)
HOW AND WHAT FOR?
• Develop an Asset Management System that considersassets’ risks against natural hazards for themanagement of Bhutan’s road network.
OBJECTIVE
• Have an overview of the country’s complete roadnetwork
• Identify critical situations
• Prioritize interventions
• Estimate associated costs – investment plans
• Schedule interventions
PURPOSE
DECISION-MAKING → BASED ON INFORMATION → OBJECTIVE APPROACH
BUDGET OPTIMIZATION
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Road Asset Management System (Risk Assessment & Resilient Asset
Management System)
Likelihood of failure = Hazard Maps x Vulnerability = Hazard Maps x f(Condition; Assetresponse)
ASSET RESPONSE = BEHAVIOR UNDER NATURAL HAZARDSObjective methodology → factors depending per asset (i.e. piers over riverbed, slope ofearthworks, etc…)
Consequences of failure = Criticality
RISK OF FAILURE = (LIKELIHOOD OF FAILURE)*(CONSEQUENCES OF FAILURE)
NATURAL HAZARDS TAKEN IN CONSIDERATION
RISK MANAGEMENT TOOL: RISK DUE TO NATURAL HAZARDS
RISK MANAGEMENT TOOL: DECISION-MAKING HELP
TOOL PRIORITIZATION OPTIONS
RISK DUE TO PHYSICAL DETERIORATION RISK DUE TO NATURAL HAZARDS
(REPAIR INTERVENTIONS) (MITIGATION INTERVENTIONS)
MAINTENANCE BUDGET
TODAY’S MAINTENANCE
• Ordinary• Periodic• Emergency
POSSIBILITY FOR FUTURE MAINTENANCE
• Preventive
ANTICIPATE THE DANGER → PREVENTIVE + CORRECTIVE APPROACH
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Rain gauge
Tilt sensor
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Early Warning System based on Threshold Precipitation
△ : disaster case, ▲ : non-destructive case
We can propose the threshold precipitation from this figure i.e.
continuous precipitation of 180mm & one-hour precipitation of 50mm
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Conclusions Expenditure spent for water-induced flood and
landslide disasters has increased due to recent climate change;
Road condition assessment and hazard risk assessments have been completed for PNHs.
Next Step Bhutan DOR is moving toward preventive O&M
planning and budgeting; Bhutan DOR will expand slope disaster warning
system based on real time weather monitoring and pre-set threshold
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November 25, 2019
TASHI DELEK
THANK YOU
