دورية أكاديمية

Flow accumulation based method for the identification of erosion risk points in unpaved roads.

التفاصيل البيبلوغرافية
العنوان: Flow accumulation based method for the identification of erosion risk points in unpaved roads.
المؤلفون: Almeida, Rherison Tyrone Silva, Griebeler, Nori Paulo, de Oliveira, Max Well Rabelo, Botelho, Thiago Henrique Arbués, Moreira, Alisson Neves Harmyans
المصدر: Environmental Monitoring & Assessment; Dec2019, Vol. 191 Issue 12, p1-16, 16p
مصطلحات موضوعية: GROUNDWATER flow, DIGITAL elevation models, GEOGRAPHIC information system software, EROSION
مصطلحات جغرافية: BRAZIL
مستخلص: The unsuitable construction of unpaved roads has been causing problems related to the formation of erosive processes, sediments in watersheds, bogs, flooding, and holes. Presuming that the areas where flow accumulation intersects unpaved roads represent risk points, our objectives are (1) to develop a qualitative method based on the GIS software management tool (FlowAccRoad) for the identification of the intersection points between flow accumulation and roads and (2) to verify the discrepancy between the points of intersection produced by digital elevation models (DEM) accounting for different spatial resolutions. In the GIS environment, we used the Shuttle Radar Topography Mission (SRTM) and Goiania (GOI) digital elevation models for the modeling of flow accumulation and vectorization of the unpaved roads, both of which are based on the Bandeira Stream Watershed in Goiania, Goiás, Brazil. This highlights that 54 points of intersection between the flow accumulation and unpaved roads present problems related to erosive processes and quagmires, among others. The FlowAccRoad method identified the principal critical points observed in the field, using both the DEM of 30.4 m of spatial resolution (SRTM) and also of 4.8 m of spatial resolution (GOI). From the FlowAccRoad method, we observed that 91% of the risk points identified through the GOI DEM were located less than 20 m from valid points in the field by using GPS. Analyzing the SRTM DEM, only 45% of the critical risk points identified by the method were located less than 20 m from valid points in the field. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:01676369
DOI:10.1007/s10661-019-7949-3