Source:http://linkedlifedata.com/resource/pubmed/id/17898438
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
6
|
| pubmed:dateCreated |
2007-9-27
|
| pubmed:abstractText |
Uncertainty analysis for large-scale model studies is a challenging activity that requires a different approach to uncertainty analysis at a smaller scale. However, in river basin studies, the practice of uncertainty analysis at a large scale is mostly derived from practice at a small scale. The limitations and inherent subjectivity of some current practices and assumptions are identified, based on the results of a quantitative uncertainty analysis exploring the effects of input data and parameter uncertainty on surface water nutrient concentration. We show that: (i) although the results from small- scale sensitivity analysis are often applied at larger scales, this is not always valid; (ii) the current restriction of the uncertainty assessment to uncertainty types with a strong evidence base gives structurally conservative estimates; (iii) uncertainty due to bias is usually not assessed, but it may easily outweigh the effects of variability; (iv) the uncertainty bandwidth may increase for higher aggregation levels, although the opposite is the standard assumption.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:issn |
0273-1223
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
56
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
1-9
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| pubmed:meshHeading | |
| pubmed:year |
2007
|
| pubmed:articleTitle |
Uncertainty analysis at large scales: limitations and subjectivity of current practices--a water quality case study.
|
| pubmed:affiliation |
Department of Water Engineering & Management, University of Twente, PO Box 217, 7500, AE, Enschede, The Netherlands. r.m.bijlsma@utwente.nl
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| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|