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首页> 外文会议>Asian conference on remote sensing;ACRS >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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IDENTIFYING HIGH-CONTRIBUTING AREAS RELATIVE TO NONPOINT SOURCE POLLUTION USING DIGITAL TERRAIN ANALYSIS OF LiDAR DEM ON LIPADAS WATERSHED, DAVAO CITY, PHILIPPINES

机译：利用菲律宾达沃市利帕达斯河流域的LiDAR DEM的数字地形分析，确定与非点源污染有关的高贡献区域

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摘要

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.
机译：降雨和地表水径流促进了污染物（如沉积物，营养物和农药）的运输，具体取决于所涉及的区域。通过使用GIS工具（例如基于来自LiDAR的高分辨率DEM的数字地形分析技术），可以通过水网或仅通过陆上径流排水对水文联系的景观进行有意义的识别。识别出的关键区域分为以下几类：沟壑，它们是活跃的侵蚀特征，有助于水道附近的大量沉积物;人工排水的山地洼地，以前可能是湿地，也可能积聚地表水;和河岸地区，这些地区在暴风雨事件中具有更大的传播污染物的潜力。实际现场验证可以对阈值水平进行校准，以便更准确地分类和识别关键区域。研究结果将为流域管理实践提供额外的投入。

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