کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
507440 865122 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A modified basal outlining algorithm for identifying topographic highs in gridded elevation data, part 2: Application to Springerville Volcanic Field
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A modified basal outlining algorithm for identifying topographic highs in gridded elevation data, part 2: Application to Springerville Volcanic Field
چکیده انگلیسی

Delineating boundaries of volcanic edifices from surrounding topography is often difficult, time-consuming and subjective. For large volcanic fields, with hundreds of volcanoes, developing methods to efficiently and consistently identify and isolate volcanoes from surrounding topography is of utmost importance. Advances in technology for collecting and processing digital elevation datasets have significantly improved the spatial coverage and accuracy of digital elevation models. This study evaluates the efficacy of two automated methods, a simple closed-contouring algorithm and the newly developed extension of this method, known as the Modified Basal Outlining Algorithm (MBOA), to identify and isolate volcanic cones within the Springerville Volcanic Field in southeastern Arizona. Results from the automated methods are compared to geologically mapped cone boundaries isolated using petrographic and topographic characteristics (Condit, C., 2010. Geosphere 6, 430–443, doi:10.1130/GES00531.1). The MBOA reproduces the maximum height, area and volume for the Springerville Volcanic Field to within a few percent of the values obtained by field mapping; whereas the closed-contour algorithm systematically underestimates the size of the volcanic edifices. Cone steepness, which is often considered to reflect the integrated history of eruptive and erosional processes shaping an edifice, is found to be insensitive to method used to delineate the cone boundary. For all three methods, a negative exponential model can be used to describe the resulting height–frequency distribution of cones, with small differences in the estimated scaling parameters. Results from this study show the MBOA is an effective automated method for identifying and isolating volcanic edifices within a large volcanic field and an improvement over closed-contour algorithms.


► The Modified Basal Outlining Algorithm is evaluated for volcano geomorphometry.
► The MBOA is compared to traditional methods of volcano isolation.
► The MBOA is an accurate and consistent method of delineating volcano outlines.
► Height:radius ratio is established to be insensitive to isolation method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 49, December 2012, Pages 315–322
نویسندگان
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