Understanding the impact of climate change on pavements with CMIP5, system dynamics and simulation

International Journal of Pavement Engineering

Volumn 19, Issue 8, 2018, Pages 697-705

  Mallick, Rajib B ^a   Jacobs, Jennifer M ^b   Miller, Benjamin J ^b   Daniel, Jo Sias ^b   Kirshen, Paul ^b  

^a Worcester Polytechnic Institute   (United States)

^b Univ of New Hampshire   (United States)

Author keywords

Climate change; CMIP5; Monte Carlo; pavement; system dynamics

Indexed keywords

CLIMATE MODELS; DETERIORATION; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; PAVEMENTS; RISK PERCEPTION; SYSTEM THEORY;

ANNUAL PRECIPITATION; CMIP5; CONFIDENCE INTERVAL; MONTE CARLO ANALYSIS; REGRESSION EQUATION; SYSTEM DYNAMICS; SYSTEM DYNAMICS AND SIMULATIONS; SYSTEM DYNAMICS MODEL;

CLIMATE CHANGE;

EID: 84976308483     PISSN: 10298436     EISSN: 1477268X     Source Type: Journal    
DOI: 10.1080/10298436.2016.1199880     Document Type: Article

References (23)

1. Baglin, C., 2014. NCHRP synthesis 454: response to extreme weather impacts on transportation systems. National Cooperative Highway Research Program & Transportation Research Board of the National Academies, Report nr NCHRP Synthesis 454.
2. Forrester, J.W., 1971. World dynamics. 2nd ed. Cambridge: Wright Allen Press.
3. ISEE systems. 2015. STELLA v 10.1.2.
4. Lewis, D., 1995. The future of forecasting–risk analysis as a philosophy of transportation planning. TR News. April, p. 177.
5. Mallick, R.B., et al., 2014. Use of system dynamics to understand the long term impact of climate change on pavement performance and maintenance cost. Transportation Research Record: Journal of the Transportation Research Board, 2455, 1–9.10.3141/2455-01
6. Maurer, E.P., et al., 2007. Fine-resolution climate projections enhance regional climate change impact studies. Eos, Transactions American Geophysical Union, 88 (47), 504.10.1029/2007EO470006
7. Meagher, W., et al., 2012. Method for evaluating implications of climate change for design and performance of flexible pavements. Transportation Research Record: Journal of the Transportation Research Board, 2305, 111–120.
8. Metropolis, N., and Ulam, S., 1949. The Monte Carlo method. Journal of the American Statistical Association, 44 (247), 335–341.10.1080/01621459.1949.10483310
9. Meyer M.D., et al., 2013. Impacts of extreme weather on transportation: national symposium summary. Washington, DC: American Association of State Highway and Transportation Officials.
10. Mills, B., et al., 2007a. The road well travelled: implications of climate change for pavement infrastructure in Southern Canada. Final technical report. Waterloo: University of Waterloo.
11. Mills, B., et al., 2007b. Climate change implications for flexible pavement design and performance in Southern Canada. Journal of Transportation Engineering, 135 (10), 773–782.
12. Paul, K., et al., 2014. Adapting urban infrastructure to climate change: A drainage case study. Journal of Water Resources Planning and Management, 141, 1–11.
13. Program, U., 2014. National climate assessment full report. Available from: http://www.energyandclimatechange.org/view/article/537bc46d0cf226e0bdbfef38.
14. Reclamation, 2013. Downscaled CMIP3 and CMIP5 climate and hydrology projections: Release of downscaled CMIP5 climate projections, comparison with preceding information, and summary of user needs, prepared by the Denver, CO: U.S. Department of the Interior, Bureau of Reclamation, Technical Services Center, 47.
15. Reclamation, 2014. Downscaled CMIP3 and CMIP5 climate and hydrology projections: Release of hydrology projections, comparison with preceding information, and summary of user needs, prepared by the Denver, CO: U.S. Department of the Interior, Bureau of Reclamation, Technical Services Center, 110.
16. Sterman, J. D., 2000. Business dynamics: systems thinking and modeling for a complex world. Boston, MA: McGraw-Hill.
17. Talukdar, S., Banthia, N., and Grace, J.R., 2012. Carbonation in concrete infrastructure in the context of global climate change–part 1: experimental results and model development. Cement and Concrete Composites, 34 (8), 924–930.10.1016/j.cemconcomp.2012.04.011
18. Taylor, K.E., Stouffer, R.J., and Meehl, G.A., 2012. An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society, 93, 485–498. doi:10.1175/BAMS-D-11-00094.1.
19. Transportation Research Board Special Report 290, 2007. Potential impacts of climate change on U.S. transportation. Washington, DC: National Research Council of the National Academies.
20. Truax, D., et al., 2011. Developing MEPDG climate data input files for Mississippi. Jackson: Mississippi Department of Transportation. Final Report FHWA/ME-DOT-RD-11-232.
21. U.S. Government Accountability Office, 2013. Climate change: future federal adaptation efforts could better support local infrastructure decision makers. Washington, DC: U.S. Government Accountability Office.
22. Walls, J., and Smith, M., 1998, September. Life-cycle cost analysis in pavement design- in search of better investment. Federal Highway Administration, Washington, DC: US Department of Transportation, Publication No. FHWA-SA-98-079.
23. Wilbanks, T.J., et al., 2014. Climate change and infrastructure, urban systems, and vulnerabilities. Technical report for the U.S.Department of Energy in support of the National Climate Assessment. Washington, DC: Island Press.10.5822/978-1-61091-556-4