IDENTIFYING HIGH-CONTRIBUTING AREAS RELATIVE TO NONPOINT SOURCE POLLUTION USING DIGITAL TERRAIN ANALYSIS OF LiDAR DEM ON LIPADAS WATERSHED, DAVAO CITY, PHILIPPINES

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Year:
2016
Type of Publication:
Proceedings
Keywords:
GIS, Digital terrain analysis, LiDAR DEM, watershed management
Authors:
Acosta, Joseph E.; Oguis, Gus Kali R.
Abstract:
Rainfall and surface water runoff facilitates the transport of contaminants such as sediments, nutrients, and pesticides, depending upon the area involved. With the use of GIS tools such as digital terrain analysis techniques on high resolution DEMs derived from LiDAR, landscapes that are hydrologically connected, either by river networks or simply overland runoff drainages, can be identified with a degree of significance. The identified critical areas are classified: ravines, which are active erosional features that contribute to significant amount of sediments nearby waterways; artificially drained upland depressions, which can be formerly wetlands or accumulate surface water; and riparian areas, which are areas that have greater potential of transporting contaminants during storm events. Actual field validation enabled the calibration of thresholds levels for more accurate classification and identification of critical areas. The result of the study will provide additional input for watershed management practices
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