Landslide susceptibility analysis based on citizen reports,Earth Surface Processes and Landforms

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Landslide susceptibility analysis based on citizen reports
Earth Surface Processes and Landforms ( IF 2.8 ) Pub Date : 2020-12-29 , DOI: 10.1002/esp.5064
Tyler J. Rohan ₁ , Nicholas Wondolowski ₁ , Eitan Shelef ₁

Affiliation

Landslide susceptibility estimates are essential for reducing the risk posed by landslides to social and economic well‐being. However, estimates of landslide susceptibility depend on reliable landslide inventories whose production requires extensive field or remote sensing efforts. Further, most inventories are not updated through time and thus may not capture the influence of changes in climate and/or land use. Inventories based on citizen reports of landslide occurrence, have the potential to overcome these limitations. Such an inventory can be produced from citizen reports to a 311‐phone and online system, a nationwide database that updates real‐time and records reported landslides location and timing. Whereas this landslide inventory is promising, it has not used for landslide susceptibility analyses and may be associated with spatial uncertainties and reporting biases. In this study we explore the use of 311‐based landslide inventory for landslide susceptibility estimates in Pittsburgh, PA, USA, where landslide risk is among the highest in the nation. We compare the 311‐based inventory to field‐validated inventories through a multi‐pronged approach that combines field validation of 311‐reported landslides, probabilistic analysis of the association between landslides and the underlying topographic and geologic factors, and spatial filtering. Our results show that: (a) approximately 70% of the 311‐reported landslides are associated with an identifiable landslide in the field; (b) the spatial uncertainty of the 311‐reported landslides is 104 ± 25 m; (c) 311‐reported landslides differ from other inventories in that they are primarily associated with proximity to roads, however, field‐correction of 311‐reported landslide locations rectifies this anomaly; (d) a simple spatial filter, scaled by the uncertainty in location as determined from a subset of the 311‐data, can increase the consistency between the 311‐reported inventory and field‐validated inventories. These results suggest that 311‐based landslide inventories can improve susceptibility estimates at a relatively low cost and high temporal resolution.

中文翻译：

基于市民报告的滑坡敏感性分析

滑坡敏感性估算对于降低滑坡对社会和经济福祉造成的风险至关重要。但是，对滑坡敏感性的估算取决于可靠的滑坡清单，其清单需要大量的现场或遥感工作。此外，大多数清单不会随时间更新，因此可能无法捕获气候和/或土地使用变化的影响。基于市民对滑坡发生情况的报告进行的盘点有可能克服这些局限性。可以从市民报告到311电话和在线系统生成这样的清单，该系统是全国性的数据库，可实时更新并记录报告的滑坡位置和时间。尽管这种滑坡库存是有希望的，它尚未用于滑坡敏感性分析，可能与空间不确定性和报告偏差有关。在本研究中，我们探索了在美国宾夕法尼亚州匹兹堡的滑坡敏感性估算中使用基于311的滑坡清单的原因，该地区的滑坡风险是美国最高的滑坡风险之一。我们通过多管齐下的方法将基于311的清单与现场验证的清单进行了比较，该方法结合了对311报告的滑坡的现场验证，对滑坡与基础地形和地质因素之间的关联进行概率分析以及空间过滤的方法。我们的结果表明：（a）在311个报告的滑坡中，约有70％与现场可识别的滑坡有关；（b）311次报告的滑坡的空间不确定性为104±25 m；（c）311个报告的滑坡与其他清单的不同之处在于，它们主要与道路接近有关，但是，对311个报告的滑坡位置进行现场校正可以纠正这种异常现象；（d）一个简单的空间过滤器，根据311数据的子集确定的位置不确定性进行缩放，可以提高311所报告的库存与现场验证的库存之间的一致性。这些结果表明，基于311的滑坡清单可以以相对较低的成本和较高的时间分辨率来改善磁化率估计。可以提高311报告的库存与现场验证的库存之间的一致性。这些结果表明，基于311的滑坡清单可以以相对较低的成本和较高的时间分辨率来改善磁化率估计。可以提高311报告的库存与现场验证的库存之间的一致性。这些结果表明，基于311的滑坡清单可以以相对较低的成本和较高的时间分辨率来改善磁化率估计。

更新日期：2020-12-29

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