CSA / ASCE
Civil Engineering Abstracts
CSA / ASCE Civil
Engineering Abstracts provides citations, abstracts,
and indexing of the serials literature in civil
engineering and its complementary fields, including
forensic engineering, management and marketing of
engineering services, engineering education,
theoretical mechanics and dynamics, and mathematics
and computation. This database provides
comprehensive international coverage as well as
numerous non-serial publications. Many of the more
recent records in the database include fields
containing cited references, corresponding author's
e-mail address, and publisher contact information.
Sources covered include over 3,000 periodicals,
conference proceedings, technical reports, trade
journal/newsletter items, patents, books, and press
releases.
Subject Coverage
Dates of Coverage
Approximately
1966-current. The oldest record in the database
has a publication date of 1887; about 50% of its
records have publication dates of 1989 or later.
Update Frequency
Once a month.
Approximately 40,000 new records are added per
year.
Size
Over 561,472
records as of February 2007
Thesaurus
The database is
indexed using a master authority file of about
40,000 controlled-vocabulary terms. Older records
in this database were indexed using a
file-specific thesaurus; this thesaurus has now
been incorporated into the master authority file.
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Sample Record
|
TI: |
Title
Integration of heuristic knowledge with
analytical tools for the selection of flood
damage reduction measures. |
|
AU: |
Author
Ahmad, S; Simonovic, S P |
|
AF: |
Author Affiliation
The University of Manitoba; University of
Western Ontario |
|
SO: |
Source
Canadian Journal of Civil Engineering, vol.
28, no. 2, pp. 208-221, Apr. 2001 |
|
IS: |
ISSN
0315-1468 |
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PB: |
Publisher
National Research Council of Canada, Ottawa,
Ontario, Ottawa, Ontario, K1A 0R6, Canada
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|
AB: |
Abstract
Heuristic knowledge has been integrated with
analytical tools to support decision making
for flood management. Development of an expert
system called Intelligent Flood Management
System for the selection of appropriate flood
damage reduction measures for a given area is
described. The selection of flood damage
reduction measures is based on hydraulic,
hydrological, geotechnical, environmental, and
economic factors related to the river system
and the area to be protected from floods. The
knowledge base of the Intelligent Flood
Management System is generic and can be used
to identify a suitable flood management option
for any area. The model base of the
Intelligent Flood Management System consists
of the hydraulic analysis package HEC-RAS, the
flood damage analysis program HEC-FDA, and a
model for economic analysis. The graphical
user interface is developed for effective
communication with the system. The developed
system has been implemented to identify
appropriate flood damage reduction options for
the town of Ste. Agathe in Manitoba, Canada
using data from 1997 flood in the Red River
Basin. |
|
IL: |
Illustrations
Graphs; Maps |
|
NR: |
Number of
References
27 |
|
LA: |
Language
English |
|
PY: |
Publication Year
2001 |
|
PT: |
Publication Type
Journal article |
|
JC: |
Journal Coverage
Core |
|
DE: |
Decriptors
Floods; Flood management; Damage; Mathematical
models; Hydraulics; Expert systems; River
basins; Graphical user interfaces; Rivers;
Economic analysis; Civil engineering;
Geotechnics |
|
CL: |
Classification
33 Storm Water Management and Flood Analysis |
|
RE: |
References
1. Arumugam, N; Mohan, S (1997) Integrated
decision support system for tank irrigation
system operation. Journal of Water Resources
Planning and Management. Vol.123, no.5,
pp.266-273
2. Bender, M; Simonovic, S P (1994)
Decision-support system for long-range stream
flow forecasting. Journal of Computing in
Civil Engineering. Vol.8, no.1, pp.20-34
3. Chang, T J; Kleopa, X A; Teoh, C B (1996)
Development of an expert system for daily
drought monitoring. Journal of Computing in
Civil Engineering. Vol.10, no.1, pp.20-24
4. Cimflex Teknowledge Corporation. 1991. M.4
User Guide. Cimflex Teknowledge Corporation,
Calif
5. Davis, J R; Nanninga, P M; Biggins, John;
Laut, P (1991) Prototype decision support
system for analyzing impact of catchment
policies. Journal of Water Resources Planning
and Management. Vol.117, no.4, pp.399-414
6. DeGagne, M P; Douglas, G G; Hudson, H R;
Simonovic, S P (1996) A decision support
system for the analysis and use of
stage-discharge rating curves. Journal of
Hydrology. Vol.184, no.3-4, pp.225-241
7. Engel, B A; Beasley, D B (1991) DSS: dam
site selector expert system for education.
Journal of Irrigation and Drainage
Engineering. Vol.117, no.5, pp.774-782
8. Evans, T A; Djokic, D; Maidment, D R (1993)
Development and application of expert
geographic information system. Journal of
Computing in Civil Engineering. Vol.7, no.3,
pp.339-353
9. International Joint Commission. 1997. Red
river flooding, short term measures: interim
report of the International Red River Basin
Task Force to the International Joint
Commission, Ottawa. International Joint
Commission, Washington, D.C
10. KGS (Kontzamanis Graumann Smith Macmillan
Inc.). 2000. Red river basin stage damage
curves update and preparation of flood damage
maps: report submitted to International Joint
Commission, Ottawa. International Joint
Commission, Washington, D.C
11. Leon, C; Martin, S; Elena, J M; Luque, J
(2000) EXPLORE-hybrid expert system for water
networks management. Journal of Water
Resources Planning and Management. Vol.126,
no.2, pp.65-74 [Cited By 2]
12. Masri, A; Moore, J E (1995) Integrated
planning information systems: disaster
planning analysis. Journal of Urban Planning
and Development. Vol.121, no.1, pp.19-39
13. McKinney, D C; Maidment, D R; Tanriverdi,
M (1993) Expert geographic information system
for Texas water planning. Journal of Water
Resources Planning and Management. Vol.119,
no.2, pp.170-183
14. McBean, E A; Gorrie, J; Fortin, M; Ding,
J; Moulton, R (1988) Flood depth-damage curves
by interview survey. Journal of Water
Resources Planning and Management. Vol.114,
no.6, pp.613-634
15. Mohammadabad, S H; Riordan, D (2000) Small
hydropower advisor: application and user
perspective. Journal of Energy Engineering.
Vol.126, no.2, pp.83-93
16. Palmer, R N (1987) Expert system for
drought management planning. Journal of
Computing in Civil Engineering. Vol.1, no.4,
pp.284-297
17. Raman, H; Mohan, S; Rangacharya, N C V
(1992) Decision support system for crop
planning during droughts. Journal of
Irrigation and Drainage Engineering. Vol.118,
no.2, pp.229-241
18. Royal Commission 1958. Report of the royal
commission on flood cost benefit. Winnipeg,
Man
19. Shepherd, A; Ortolano, L (1996)
Water-supply system operations: critiquing
expert-system approach. Journal of Water
Resources Planning and Management. Vol.122,
no.5, pp.348-355 [Cited By 2]
20. Simonovic, S P; Savic, D A (1989)
Intelligent decision support and reservoir
management and operations. Journal of
Computing in Civil Engineering. Vol.3, no.4,
pp.367-385
21. Simonovic, S P (1992) Reservoir systems
analysis: closing gap between theory and
practice. Journal of Water Resources Planning
and Management. Vol.118, no.3, pp.262-280
22. Simonovic, S P (1996) Decision support
systems for sustainable management of water
resources, I. general principles. Water
International. Vol.21, no.4, pp.223-232
23. Simonovic, S P (1996) Decision support
systems for sustainable management of water
resources, 2. case studies. Water
International. Vol.21, no.4, pp.233-244
24. Simonovic, S P; Bender, M J (1996)
Collaborative planning-support system: an
approach for determining evaluation criteria.
Journal of Hydrology. Vol.177, no.3-4,
pp.237-251
25. United States Army Corps of Engineers.
1998a. HEC-RAS: river analysis system,
Reference Manual, CPD-69, Hydrologic
Engineering Center, Davis, Calif
26. United States Army Corps of Engineers.
1998b. HEC-FDA: flood damage reduction
analysis, User's Manual, CPD-72, Hydrologic
Engineering Center, Davis, Calif
27. Wurbs, R A (1996) Optimal sizing of flood
damage reduction measures based on economic
efficiency. International Journal of Water
Resources Development. Vol.12, no.1, pp.5-16
|
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UD: |
Update
20020115 |
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AN: |
Accession Number
200201-33-0001 |
Browsable Indexes
A browsable index
is an alphabetical listing of terms used in a
specific field of a database. You can browse this
list to see, for example, how author names appear
in the database. Browsable Indexes are available
for the following fields:
Author
Journal Name
Publication Type
Field Codes
The following field
codes are found in the records of this database.
Here they are listed in alphabetical order by
two-letter code.
| AB = Abstract
|
KW = Keyword |
AF = Author
Affiliation
|
LA = Language
|
| AN = Accession
Number |
PB = Publisher |
| AU = Author
|
PT =
Publication Type |
DE =
Descriptors
|
PY =
Publication Year |
| EA = Email
Address |
RE =
References |
| IL =
Illustrations |
SO = Source
|
| IS = ISSN
|
TI = Title
|
| |
UD = Update
|
Journal
Coverage, JC=
Each journal monitored receives a
level-of-coverage rating based on the scope of the
material included. The three levels are:
- Core, where all
papers in an issue are indexed
- Priority, where
more than 50% of the material is indexed
- Selective, where
less than 50% of the material is indexed
If desired, you can
restrict a search to what may be regarded as the
most important journals in the field, by adding
and jc=core to your search statement, eg:
kw=(suspension bridges) and jc=core
Number of
References, NR=
This field is provided more for informational
purposes rather than for searching. It indicates
how many references, ie, cited references, are in
the bibliography of the source document. Many
older records have a number in this field, but do
not have any cited references displayed, because
these records were created prior to the decision
to begin capturing such references. Occasionally,
the number in this field exceeds the number of
cited references displayed, because only
references in the Roman alphabet have been
captured.
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