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Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy

机译:使用GIS和双变量统计数据进行地貌和滑坡敏感性评估:意大利南部的案例研究

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摘要

In this article, the results of a study aimed to assess the landslide susceptibility in the Calaggio Torrent basin (Campanian Apennines, southern Italy) are presented. The landslide susceptibility has been assessed using two bivariate-statistics-based methods in a GIS environment. In the first method, widely used in the existing literature, weighting values (Wi) have been calculated for each class of the selected causal factors (lithology, land-use, slope angle and aspect) taking into account the landslide density (detachment zones + landslide body) within each class. In the second method, which is a modification of the first method, only the landslide detachment zone (LDZ) density has been taken into account to calculate the weighting values. This latter method is probably characterized by a major geomorphological coherence. In fact, differently from the landslide bodies, LDZ must necessarily occur in geoenvironmental classes prone to failure. Thus, the calculated Wi seem to be more reliable in estimating the propensity of a given class to generate failure. The thematic maps have been reclassified on the basis of the calculated Wi and then overlaid, with the purpose to produce landslide susceptibility maps. The used methods converge both in indicating that most part of the study area is characterized by a high–very high landslide susceptibility and in the location and extent of the low-susceptible areas. However, an increase of both the high–very high and moderate–high susceptible areas occurs in using the second method. Both the produced susceptibility maps have been compared with the geomorphological map, highlighting an excellent coherence which is higher using method-2. In both methods, the percentage of each susceptibility class affected by landslides increases with the degree of susceptibility, as expected. However, the percentage at issue in the lowest susceptibility class obtained using method-2, even if low, is higher than that obtained using method-1. This suggests that method-2, notwithstanding its major geomorphological coherence, probably still needs further refinements.
机译:在本文中,提出了旨在评估Calaggio Torrent盆地(意大利南部的Campanian Apennines)的滑坡敏感性的研究结果。在GIS环境中,已经使用两种基于双变量统计的方法对滑坡的敏感性进行了评估。第一种方法是现有文献中广泛使用的方法,其中考虑了滑坡密度(分离带+),为每类选定的因果因子(岩性,土地利用,坡度和坡向)计算了权重值(Wi)滑坡体)。在第二种方法(它是第一种方法的一种改进)中,仅考虑了滑坡脱离带(LDZ)密度来计算权重值。后一种方法可能具有主要的地貌一致性。实际上,与滑坡体不同,LDZ必须必然在易于失效的地球环境类别中发生。因此,在估计给定类别产生故障的倾向方面,计算出的Wi似乎更可靠。主题图已根据计算的Wi进行了重新分类,然后叠加,目的是生成滑坡敏感性图。所使用的方法在表明研究区域的大部分地区具有高至非常高的滑坡敏感性以及低敏感性地区的位置和范围方面都趋于一致。但是,使用第二种方法时,高-非常高和中-高易感区域都会增加。已将两个生成的磁化率图与地貌图进行了比较,突出显示了出色的相干性,使用方法2时,相干性更高。在两种方法中,滑坡影响的每个磁化率类别的百分比都随磁化度的增加而增加,正如预期的那样。但是,使用方法2获得的最低磁化率类别中的有争议的百分比即使较低,也高于使用方法1获得的百分比。这表明尽管方法2具有主要的地貌一致性,但可能仍需要进一步完善。

著录项

  • 来源
    《Natural Hazards》 |2008年第3期|411-435|共25页
  • 作者单位

    Dipartimento di Studi Geologici e Ambientali Università degli Studi del Sannio via dei Mulini 59/A 82100 Benevento Italy;

    Dipartimento di Studi Geologici e Ambientali Università degli Studi del Sannio via dei Mulini 59/A 82100 Benevento Italy;

    Dipartimento di Studi Geologici e Ambientali Università degli Studi del Sannio via dei Mulini 59/A 82100 Benevento Italy;

    Dipartimento di Studi Geologici e Ambientali Università degli Studi del Sannio via dei Mulini 59/A 82100 Benevento Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Landslide susceptibility; GIS; Bivariate statistics; Geomorphology; Southern Italy;

    机译:滑坡敏感性;GIS;双变量统计;地貌;意大利南部;

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