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dc.contributor.authorKAO, JJen_US
dc.date.accessioned2014-12-08T15:05:02Z-
dc.date.available2014-12-08T15:05:02Z-
dc.date.issued1992en_US
dc.identifier.issn0273-1223en_US
dc.identifier.urihttp://hdl.handle.net/11536/3570-
dc.description.abstractThe 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.en_US
dc.language.isoen_USen_US
dc.subjectWATER QUALITY CONTROLen_US
dc.subjectNONPOINT-SOURCE POLLUTIONen_US
dc.subjectDRAINAGE PATTERNen_US
dc.subjectDIGITAL ELEVATION MODELen_US
dc.subjectMODELINGen_US
dc.subjectAPPROXIMATIONen_US
dc.titleDETERMINING DRAINAGE PATTERN USING DEM DATA FOR NONPOINT-SOURCE WATER-QUALITY MODELINGen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.journalWATER SCIENCE AND TECHNOLOGYen_US
dc.citation.volume26en_US
dc.citation.issue5-6en_US
dc.citation.spage1431en_US
dc.citation.epage1438en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department環境工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Environmental Engineeringen_US
dc.identifier.wosnumberWOS:A1992JZ96900052-
Appears in Collections:Conferences Paper