2020
DOI: 10.1061/(asce)is.1943-555x.0000567
|View full text |Cite
|
Sign up to set email alerts
|

Past and Present Design Practices and Uncertainty in Climate Projections are Challenges for Designing Infrastructure to Future Conditions

Abstract: Designing infrastructure for a changing climate remains a major challenge for engineers. In popular discourse a narrative has emerged that infrastructures are likely undersigned for the future. Weather-related hazards are directly embedded in the infrastructure design process. Yet the codes and standards that engineers use for this risk analysis have been changing for decades, sometimes increasing and other times decreasing design values. Further complicating the issue is that climate projections show increasi… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 31 publications
(10 citation statements)
references
References 41 publications
0
10
0
Order By: Relevance
“…The suite of periodic IPCC reports, beginning in 1990 through 2021 created a climate model, scenario-driven 'top-down' analytical paradigm. This was deemed by many engineering practitioners as unsuitable for most water resources management problemsparticularly those related to site-specific infrastructure design (Kundzewicz & Stakhiv, 2010;Stakhiv, 2011;Retief et al, 2013;Sykora et al, 2017;Sykora et al, 2018;Underwood et al, 2020).…”
Section: Engineering Design and Hydrologic Non-stationaritymentioning
confidence: 99%
See 1 more Smart Citation
“…The suite of periodic IPCC reports, beginning in 1990 through 2021 created a climate model, scenario-driven 'top-down' analytical paradigm. This was deemed by many engineering practitioners as unsuitable for most water resources management problemsparticularly those related to site-specific infrastructure design (Kundzewicz & Stakhiv, 2010;Stakhiv, 2011;Retief et al, 2013;Sykora et al, 2017;Sykora et al, 2018;Underwood et al, 2020).…”
Section: Engineering Design and Hydrologic Non-stationaritymentioning
confidence: 99%
“…A segment of the engineering profession suggests that traditional risk-based design methods may currently be more useful than non-stationary approaches because it is much too difficult to realistically accommodate all the uncertainties associated with climate change. In fact, many authors argue that factoring in these uncertainties, many of them 'unknown unknowns', simply makes the analyses more complex and bewildering for the public and political decision-makers (Serinaldi & Kilsby, 2015;Underwood et al, 2020).…”
Section: Adapting Contemporary Engineering Risk Management Practices To Climate Uncertaintiesmentioning
confidence: 99%
“…Additionally, assessing the different possible outcomes in applying GCM projections with respect to using different data sets and data-processing techniques is important. The uncertainties of applying climate model projections in engineering applications are not well understood (Douglas et al 2017), and these uncertainties can be challenging when it comes to updating engineering designs (Underwood et al 2020). It is worth noting that the methodologies for applying climate model projections and evaluating related uncertainty are a rich topic in the climate science literature (e.g., Hawkins and Sutton 2016;Jack and Katragkou 2019;Maraun 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The tensions between exploitation (i.e., efficiency within the status quo) and exploration (i.e., pursuing innovations and associated risks) of these technological organizations parallel tensions experienced by infrastructure managers navigating efficiency and adaptation for resilience (March, 1991;Papachroni et al, 2016). The consequences of designing infrastructure systems for efficiency are becoming increasingly evident with failures across a range of disturbances even beyond climate change (Chester et al, 2020b;Underwood et al, 2020), such as aging infrastructure and emerging technology (Arbesman, 2017;Chester and Allenby, 2018), terrorist attacks, cyber warfare (Ogie, 2017;Paté-Cornell et al, 2018), and pandemics (Carvalhaes et al, 2020).…”
Section: Introductionmentioning
confidence: 99%