| Fuzzy-stochastic characterization of site uncertainty and variability in groundwater flow and contaminant transport through a heterogeneous aquifer. | |
| | |
MedLine Citation:
|
PMID: 19217686 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Site variabilities and uncertainties in data and information lead to significant spread in results of groundwater flow and contaminant transport models. A framework for hybrid propagation of random uncertainties represented by probability theory; nonrandom uncertainties represented by fuzzy set theory; and site variabilities represented by geostatistics was developed in this research. A case study was provided to explain the computational algorithm. The methodology presented here can be applied to complex environments where there are site variabilities as well as uncertainties of different kinds. The algorithm is suited when uncertainties in some variables may be best represented as fuzzy numbers whereas in others as probability distributions and both form part of the same governing equation. |
| | |
Authors:
|
Kejiang Zhang; Hua Li; Gopal Achari |
Related Documents
:
|
20461416 - What effect will a few degrees of climate change have on human heat balance? implicatio... 14763616 - Multiple-aquifer characterization from single borehole extensometer records. 17624106 - Fuzzy techniques for environmental-impact assessment in the mineral deposit of punta go... 17794006 - Valid climatological data from historical sources by content analysis. 22045006 - Srs-schwab adult spinal deformity classification: a validation study. 22555356 - Combining counts and incidence data: an efficient approach for estimating the log-norma... |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-01-24 |
Journal Detail:
|
Title: Journal of contaminant hydrology Volume: 106 ISSN: 1873-6009 ISO Abbreviation: J. Contam. Hydrol. Publication Date: 2009 Apr |
Date Detail:
|
Created Date: 2009-03-24 Completed Date: 2009-05-15 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 8805644 Medline TA: J Contam Hydrol Country: Netherlands |
Other Details:
|
Languages: eng Pagination: 73-82 Citation Subset: IM |
Affiliation:
|
Department of Civil Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Environmental Monitoring*
/
methods,
statistics & numerical data Fresh Water / analysis* Fuzzy Logic Models, Theoretical* Observer Variation Stochastic Processes Uncertainty Water Movements* Water Pollutants, Chemical / analysis* |
| Chemical | |
Reg. No./Substance:
|
0/Water Pollutants, Chemical |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: An enhanced algorithm for knee joint sound classification using feature extraction based on time-fre...
Next Document: Stem juice production of the C4 sugarcane (Saccharum officinarum) is enhanced by growth at double-am...