Browsing by Author "KAO, JJ"

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COMPUTER-BASED ENVIRONMENT FOR WASTE-WATER TREATMENT-PLANT DESIGN
(1993-09-01)
KAO, JJ
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BRILL, ED
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PFEFFER, JT
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GESELBRACHT, JJ
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環境工程研究所
A prototype computer-based design environment was developed to facilitate wastewater treatment plant design tasks. The design environment includes several mathematical techniques, interactive graphic displays, and user-friendly interfaces. The mathematical techniques are mass and water balances for an analysis program for plant design and a rule-based system for evaluating the likelihood of sludge bulking. A processor is also used to check a given design using existing design standards. The interactive graphic displays and the user interfaces are intended to provide a user-friendly environment for manipulating data, models, and solutions. Sensitivity analyses can be performed for models as well as parameters. The features of the computer-based system are described, and suggestion for extensions are given.
DETERMINING DRAINAGE PATTERN USING DEM DATA FOR NONPOINT-SOURCE WATER-QUALITY MODELING
(1992)
KAO, JJ
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交大名義發表
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環境工程研究所
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National Chiao Tung University
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Institute of Environmental Engineering
The drainage pattern of a watershed is an important parameter in nonpoint-source water quality modeling. Manual preparation of this pattern from topographic maps is time-consuming and sometimes subjective. Digital Elevation Model (DEM) data am fundamental cartographic data stored in a uniform grid system which can be easily processed by the computer. Using DEM data and a set of pre-defined rules, the drainage pattern can be automatically determined. Six grid-based methods have been developed, and three of them have been tested for a case study, an ama enclosing a subwatershed of Chin-Mei River, Taipei County, Taiwan, R.O.C. The results are comparable to the manually prepared drainage pattern, although several complexities exist for areas such as depression and highly irregular areas. Several refined rules based on the drainage patterns in adjacent areas are utilized to modify the drainage patterns in these areas. Compared with the conventional manual method, the proposed automated methods am much more efficient for regional water quality studies.