1. General Model Information

Name: MOD-C-LECT 1.0 - Model Selecting Tool for Agricultural Nonpoint Source Water Quality Simulations.

Acronym: MOD-C-LECT


Main medium: terrestrial
Main subject: hydrology, biogeochemistry
Organization level:
Type of model: not specified
Main application: simulation/optimisation tool, database
Keywords: nonpoint source pollution, model comparison, model selection

Contact:

Mr. R.H. Griggs.
Texas Agricultural Experiment Station, Blackland Research Center, 808 East Blackland Road, Temple, TX 76502 UNITED STATES.
Phone: +1.817.7706631
Fax: +1.817.7706561
email: griggs@brcsun0.tamu.edu

Author(s):

Abstract:

Using the Knowledge Pro software (Knowledge Processor), developed by Knowledge Garden Inc., Nassau, New York, United States (Thompson and Thompson, 1987), an automated nonpoint source (NPS) water quality model selecting tool (MOD-C-LECT) was created. A knowledge base and object oriented programming (OOPS) interactively direct the user toward the model(s) that meet(s) his/her selection criteria through the use of windowing. In additions, hypertext (help files built to be accessed by mouse clicking on highlighted words) helps to describe the models and define technical terms associated with water quality. Almost 200 issues (criteria) can be addressed for each of the 32 models included in the decision matrix. These criteria are organized into 14 sections and each section has several specific headings under it to create an outline or tiered organizational structure. A windowing approach is used to access the tiered data structure. The data is stored as either a yes or no in answer to the generic question: 'Does this model address this issue ?'. A backwards chaining process is used to deduce which models do address the selected criteria. In addition to the decision matrix, each of the 32 models has a brief text section organized into ten topical sections. Technical terms are defined by the use of hypertext throughout these information sections. In an attempts to present the models in objective fashion, many basic terms are also defined by hypertext in order to clarify how the terms are used in MOD-C-LECT. Keywords : decision support, water quality, simulation, model, and nonpoint source pollution.

Purpose of the model: : To assist the model user in (1) learning basic information about thirty-two nonpoint source water quality computer simulation models and (2) selecting the model(s) which fit(s) the needs of a specific situation.

Model parentage:

Source of the AbstractCAMASE Register of Agro-ecosystems Models


II. Technical Information

II.1 Executables:

Operating System(s): Costs: : None. Comments:

II.2 Source-code:

Programming Language(s):

II.3 Manuals:

Campbell, C.A., H.R. Davidson & F.G. Warder, 1977. Effects of Fertilizer N and Soil Moisture on Yield, Yield Components, Protein Content, and N Accumulation in the Aboveground Parts of Spring Wheat. Canadian Journal of Soil Science 57: 311-327
Executable available: Yes.

II.4 Data:



III. Mathematical Information


III.1 Mathematics


III.2 Quantities


III.2.1 Input

Almost 200 issues (criteria) can be addressed for each of the 32 models included in the decision matrix (see below under 1). These criteria are organized into 14 sections (see below under 2) and each section has several specific headings under it to create an outline or tiered organizational structure (see below under 3). A windowing approach is used to access the tiered data structure. In addition to the decision matrix, each of the 32 models has a brief text section organized into ten topical sections (see below under 4). Technical terms are defined by the use of hypertext throughout these information sections. 1. Models included in MOD-C-LECT (version 1.0): AGMAN, AGNPS, ALMANAC*, ANSWERS, CHEMRANK, CMLS, CREAMS, DRAINMOD, DRASTIC, EGEM, EPIC*, EXAMS, GAMES, GLEAMS, GWLF, HEC-5Q, HSPF, LEACHM*, MODFLOWP*, NLEAP, NPURG, PLANETOR, PRE-AP*, PRZM2, RUSTIC, SWAT, SPUR, SWRRBWQ, TR-55, VS2DT, WASP4, and WEPP*. 2. Sections of data in the MOD-C-LECT decision matrix: platform, resolution, hydrologic processes, routing, impoundments, erosion processes, crop growth, management, structures, nutrients, pesticides, other pollutants, economics, input/output. 3. MOD-C-LECT decision matrix data structure: platform section: hardware, operating system, programming language, other. 4. Text information sections for models in MOD-C-LECT: title (name, acronym, version number, and version release date), description (brief overview), developer/supporter (name, organization, address, telephone and telefax numbers), water quality applications (examples, studies, other versions or modifications of the original model), limitations, resource requirements (hardware, software, memory, resident programs), inputs (numbers, required versus optional), output (type, form, flexibility), future model developments (plans, dreams), and references (complete bibliography of publications used to develop the model as well as applications/validations using the model).

III.2.2 Output

A list of models which meet some specific criteria.


IV. References


Campbell, C.A., H.R. Davidson & F.G. Warder, 1977. Effects of Fertilizer N and Soil Moisture on Yield, Yield Components, Protein Content, and N Accumulation in the Aboveground Parts of Spring Wheat. Canadian Journal of Soil Science 57: 311-327


V. Further information in the World-Wide-Web


VI. Additional remarks


Last review of this document by: T. Gabele: Sep 25 1997
Status of the document:
last modified by Joachim Benz Mon Jul 2 18:31:37 CEST 2007

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