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Remote analysis of avalanche terrain features: Identifying routes, avoiding hazards.

机译:远程分析雪崩地形特征:识别路线,避免危害。

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摘要

The threat of avalanches to winter recreationalists and mountain communities is well known. Geographic Information Systems (GIS) technology has been used to augment avalanche forecast and control programs in many parts of the United States and Europe. Successful GIS approaches combine terrain modeling, historical avalanche data and avalanche flow modeling to identify and predict avalanche probability and intensity for relatively small geographic areas (e.g., highway corridors, commercial ski areas and municipalities) (McCollister & Birkeland, 2006). However, little research has focused on the vast backcountry areas between such small, populated areas. With the advent of lighter, better equipment for both backcountry skiers and snowmobilers, recreationalists increasingly visit these areas and are at risk from avalanches. Thus, an effort to reevaluate and improve avalanche risk information available to winter recreationalists is warranted. This study developed and evaluated geoprocessing methods using readily available and inexpensive spatial data to identify two terrain features of particular importance in evaluating avalanche risk, depositional terrain traps and trigger points. Forest density layers for display and geoprocessing purposes were also created from several data sources. Avalanche terrain hazards were identified from slope curvature models where areas of aspect change were filtered out along with moderate and heavy forest and low angle slope areas. Field trials confirmed that such methods could improve decision making and route finding in winter backcountry areas.
机译:雪崩对冬季休闲者和山区社区的威胁是众所周知的。地理信息系统(GIS)技术已用于增强美国和欧洲许多地区的雪崩预报和控制程序。成功的GIS方法结合了地形建模,历史雪崩数据和雪崩流模型,以识别和预测相对较小地理区域(例如高速公路走廊,商业滑雪区和市政当局)的雪崩概率和强度(McCollister和Birkeland,2006)。但是,很少有研究集中在这些人口稀少的地区之间的广阔偏远地区。随着偏远地区滑雪者和雪地摩托车使用更轻,更好的设备的出现,休闲人士越来越多地访问这些地区,并有遭受雪崩袭击的危险。因此,必须努力重新评估和改善冬季休闲者可获得的雪崩风险信息。这项研究使用容易获得且便宜的空间数据开发并评估了地理处理方法,以识别在评估雪崩风险,沉积地形陷阱和触发点方面特别重要的两个地形特征。还从多个数据源创建了用于显示和地理处理的森林密度层。从坡度曲率模型中识别出雪崩地形危害,其中坡度变化的区域以及中度茂密的森林和低角度的坡度区域被过滤掉了。现场试验证实,这种方法可以改善冬季偏远地区的决策和路线寻找。

著录项

  • 作者

    Ingold, Kurt Frederick, Jr.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Geodesy.
  • 学位 M.S.
  • 年度 2014
  • 页码 62 p.
  • 总页数 62
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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