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Lisø PhD Dissertation Manuscript - NTNU

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cost of repairing process-induced building defects in<br />

Norway amounts to 5% of the annual capital invested<br />

in new buildings (Ingvaldsen, 1994). Ingvaldsen also<br />

found that this estimate was in good agreement with<br />

13 corresponding investigations or sources of information<br />

in other European countries (with a mean estimate<br />

varying between 3 and 5%). Correcting faults<br />

and repairing defects in buildings during the construction<br />

process is estimated to cost roughly the same as<br />

repairing buildings in use, e.g. another 5% (Ingvaldsen,<br />

1994). With an annual investment in refurbishment<br />

and new construction of 130 billion Norwegian<br />

kronor (as of 2003), it is therefore reasonable to estimate<br />

that up to 13 billion kronor is being spent on<br />

repairing defects or damage to buildings every year.<br />

NBI has more than 5000 process-induced building<br />

defect assignment reports in its archives, which is a<br />

considerable source of experience-based knowledge.<br />

Results from a preliminary review of assignments<br />

investigated in the decade between 1993 and 2002<br />

(2378 building defect cases registered and described<br />

in 2045 assignment reports) show that defects related<br />

to the building envelope constitute about two-thirds<br />

of the investigated cases (<strong>Lisø</strong> et al., 2005a, b). Moisture<br />

as the main source causing the defect accounts for<br />

as much as 76% of all investigated cases in that decade.<br />

Many types of building defect cases are recurring items,<br />

which indicates a general lack of knowledge amongst<br />

the different actors in the construction industry concerning<br />

fundamental principles of building physics.<br />

These findings support earlier investigations concluding<br />

that the construction industry is unable to learn<br />

from past experience and that the exchange of knowledge<br />

in construction projects is unsatisfactory (e.g. <strong>Lisø</strong><br />

et al., 2000).<br />

A field investigation of a random sample of 20 existing<br />

low-rise buildings with large spans (e.g. schools, sports<br />

buildings and industrial buildings) situated in areas<br />

exposed to high wind action and extreme snowfall in<br />

Norway shows that 18 of these buildings do not meet<br />

current regulatory requirements relating to safety<br />

against collapse owing to snow loads and wind<br />

action (Meløysund et al., accepted).<br />

Projected changes in climatic conditions will further<br />

enhance vulnerability within the construction industry<br />

and the built environment.<br />

Key de¢nitions<br />

At the outset of this paper, it is sensible to clarify a few<br />

key definitions to be used in further discussions on riskmanagement<br />

and decision-making instruments.<br />

‘Risk’ is termed here as a function of the probability of<br />

undesirable events and the subsequent consequences of<br />

these (Norges offentlige utredninger (NOU), 2000),<br />

Integrated approach to risk management of future climate change impacts<br />

and in the International Standardisation Organisation<br />

(ISO)/IEC Guide No. 73:2002 (ISO, 2002), it is<br />

defined as a ‘combination of the probability of an<br />

event and its consequence’. Risk expresses the potential<br />

loss of important values as a consequence of undesirable<br />

events, e.g. adverse social, economic and technical<br />

implications of climate change in the built environment.<br />

Risk-reducing measures or activities are normally<br />

assessed with reference to quantitative risk<br />

acceptance criteria.<br />

‘Risk management’ is defined in ISO (2002, p. 4) as<br />

‘coordinated activities to direct and control an organization<br />

with regard to risk’. Risk management implies<br />

that undesirable outcomes can be avoided, but where<br />

they are unavoidable, they can be mitigated if connections<br />

between cause and effect are properly defined<br />

(Jaeger et al., 2001).<br />

‘Risk analysis’ provides a basis for the evaluation of<br />

risk and is defined as ‘systematic use of information<br />

to identify sources (having a potential for a consequence)<br />

and to estimate the risk’ (ISO, 2002, p. 5).<br />

The risk of adverse impacts as a consequence of<br />

climate change is not well determined, and the riskmanagement<br />

principle adopted should be the ALARP<br />

principle: the risk should be reduced to a level that is<br />

‘as low as reasonably practicable’.<br />

The Intergovernmental Panel on Climate Change<br />

(IPCC) definitions of sensitivity, adaptability and<br />

vulnerability are as follows (McCarthy et al., 2001):<br />

‘Sensitivity’ is the degree to which a system is<br />

affected either adversely or beneficially, by<br />

climate-related stimuli. Climate-related stimuli<br />

encompass all the elements of climate change,<br />

including mean climate characteristics, climate<br />

variability, and the frequency and magnitude of<br />

extremes. The effect may be direct (e.g. a<br />

change in crop yield in response to a change in<br />

the mean, range or variability of temperature)<br />

or indirect (e.g. damages caused by an increase<br />

in the frequency of coastal flooding due to sealevel<br />

rise).<br />

‘Adaptive capacity’ is the ability of a system to<br />

adjust to climate change, including climate variability<br />

and extremes, to moderate potential<br />

damages, to take advantage of opportunities, or<br />

to cope with the consequences.<br />

‘Vulnerability’ is the degree to which a system is<br />

susceptible to, or unable to cope with, adverse<br />

effects of climate change, including climate variability<br />

and extremes. Vulnerability is a function of<br />

the character, magnitude and rate of climate<br />

change and variation to which a system is<br />

exposed, its sensitivity, and its adaptive capacity.<br />

3

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