Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds

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Abstract

Critical rainfall thresholds for landslides arepowerful tools for preventing landslide hazard. Thethresholds are commonly estimated empirically startingfrom rainfall events that triggered landslides in the past.The creation of the appropriate rainfall–landslide databaseis one of the main efforts in this approach. In fact, anaccurate agreement between the landslide and rainfallinformation, in terms of location and timing, is essential inorder to correctly estimate the rainfall–landslide relationships.A further issue is taking into account the averagemoisture conditions prior the triggering event, which reasonablymay be crucial in determining the sufficientamount of precipitation. In this context, the aim of thispaper is exploiting historical landslide and rainfall data in aspatial database for the derivation of critical rainfallthresholds for landslide occurrence in Sicily, southernItaly. The hourly rainfall events that caused landslidesoccurred in the twentieth century were specifically identifiedand reconstructed. A procedure was proposed toautomatically convert rain guages charts recorded on papertape into digital format and then to provide the cumulativerainfall hyetograph in digital format. This procedure isbased on a segmentation followed by signal recognitiontechniques which allow to digitalize and to recognize thehyetograph automatically. The role of rainfall prior to thelandslide events was taken into account by including in the analysis the rainfall occurred 5, 15 and 30 days before eachlandslide. Finally, cumulated rainfall duration thresholdsfor different exceedance probability levels were determined.The obtained thresholds resulted in agreement withthe regional curves proposed by other authors for the samearea; antecedent rainfall turned out to be particularlyimportant in triggering landslides.
Lingua originaleEnglish
pagine (da-a)1-16
Numero di pagine16
RivistaEnvironmental Earth Sciences
Volume76 (5)
Stato di pubblicazionePublished - 2017

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landslides
spatial data
Landslides
Rain
landslide
rain
rainfall
rainfall duration
Sicily
meteorological data
twentieth century
segmentation
Hazards
hazard

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Environmental Chemistry
  • Water Science and Technology
  • Soil Science
  • Pollution
  • Geology
  • Earth-Surface Processes

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title = "Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds",
abstract = "Critical rainfall thresholds for landslides arepowerful tools for preventing landslide hazard. Thethresholds are commonly estimated empirically startingfrom rainfall events that triggered landslides in the past.The creation of the appropriate rainfall–landslide databaseis one of the main efforts in this approach. In fact, anaccurate agreement between the landslide and rainfallinformation, in terms of location and timing, is essential inorder to correctly estimate the rainfall–landslide relationships.A further issue is taking into account the averagemoisture conditions prior the triggering event, which reasonablymay be crucial in determining the sufficientamount of precipitation. In this context, the aim of thispaper is exploiting historical landslide and rainfall data in aspatial database for the derivation of critical rainfallthresholds for landslide occurrence in Sicily, southernItaly. The hourly rainfall events that caused landslidesoccurred in the twentieth century were specifically identifiedand reconstructed. A procedure was proposed toautomatically convert rain guages charts recorded on papertape into digital format and then to provide the cumulativerainfall hyetograph in digital format. This procedure isbased on a segmentation followed by signal recognitiontechniques which allow to digitalize and to recognize thehyetograph automatically. The role of rainfall prior to thelandslide events was taken into account by including in the analysis the rainfall occurred 5, 15 and 30 days before eachlandslide. Finally, cumulated rainfall duration thresholdsfor different exceedance probability levels were determined.The obtained thresholds resulted in agreement withthe regional curves proposed by other authors for the samearea; antecedent rainfall turned out to be particularlyimportant in triggering landslides.",
keywords = "Antecedent rainfall conditions, Image analysis, Lithology, Rainfall thresholds, Rainfall–landslide database, Sicily",
author = "Elisa Arnone and Domenico Caracciolo and Leonardo Noto and {Lo Conti}, Francesco and Domenico Caracciolo",
year = "2017",
language = "English",
volume = "76 (5)",
pages = "1--16",
journal = "Environmental Earth Sciences",
issn = "1866-6280",
publisher = "Springer Verlag",

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TY - JOUR

T1 - Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds

AU - Arnone, Elisa

AU - Caracciolo, Domenico

AU - Noto, Leonardo

AU - Lo Conti, Francesco

AU - Caracciolo, Domenico

PY - 2017

Y1 - 2017

N2 - Critical rainfall thresholds for landslides arepowerful tools for preventing landslide hazard. Thethresholds are commonly estimated empirically startingfrom rainfall events that triggered landslides in the past.The creation of the appropriate rainfall–landslide databaseis one of the main efforts in this approach. In fact, anaccurate agreement between the landslide and rainfallinformation, in terms of location and timing, is essential inorder to correctly estimate the rainfall–landslide relationships.A further issue is taking into account the averagemoisture conditions prior the triggering event, which reasonablymay be crucial in determining the sufficientamount of precipitation. In this context, the aim of thispaper is exploiting historical landslide and rainfall data in aspatial database for the derivation of critical rainfallthresholds for landslide occurrence in Sicily, southernItaly. The hourly rainfall events that caused landslidesoccurred in the twentieth century were specifically identifiedand reconstructed. A procedure was proposed toautomatically convert rain guages charts recorded on papertape into digital format and then to provide the cumulativerainfall hyetograph in digital format. This procedure isbased on a segmentation followed by signal recognitiontechniques which allow to digitalize and to recognize thehyetograph automatically. The role of rainfall prior to thelandslide events was taken into account by including in the analysis the rainfall occurred 5, 15 and 30 days before eachlandslide. Finally, cumulated rainfall duration thresholdsfor different exceedance probability levels were determined.The obtained thresholds resulted in agreement withthe regional curves proposed by other authors for the samearea; antecedent rainfall turned out to be particularlyimportant in triggering landslides.

AB - Critical rainfall thresholds for landslides arepowerful tools for preventing landslide hazard. Thethresholds are commonly estimated empirically startingfrom rainfall events that triggered landslides in the past.The creation of the appropriate rainfall–landslide databaseis one of the main efforts in this approach. In fact, anaccurate agreement between the landslide and rainfallinformation, in terms of location and timing, is essential inorder to correctly estimate the rainfall–landslide relationships.A further issue is taking into account the averagemoisture conditions prior the triggering event, which reasonablymay be crucial in determining the sufficientamount of precipitation. In this context, the aim of thispaper is exploiting historical landslide and rainfall data in aspatial database for the derivation of critical rainfallthresholds for landslide occurrence in Sicily, southernItaly. The hourly rainfall events that caused landslidesoccurred in the twentieth century were specifically identifiedand reconstructed. A procedure was proposed toautomatically convert rain guages charts recorded on papertape into digital format and then to provide the cumulativerainfall hyetograph in digital format. This procedure isbased on a segmentation followed by signal recognitiontechniques which allow to digitalize and to recognize thehyetograph automatically. The role of rainfall prior to thelandslide events was taken into account by including in the analysis the rainfall occurred 5, 15 and 30 days before eachlandslide. Finally, cumulated rainfall duration thresholdsfor different exceedance probability levels were determined.The obtained thresholds resulted in agreement withthe regional curves proposed by other authors for the samearea; antecedent rainfall turned out to be particularlyimportant in triggering landslides.

KW - Antecedent rainfall conditions

KW - Image analysis

KW - Lithology

KW - Rainfall thresholds

KW - Rainfall–landslide database

KW - Sicily

UR - http://hdl.handle.net/10447/239348

M3 - Article

VL - 76 (5)

SP - 1

EP - 16

JO - Environmental Earth Sciences

JF - Environmental Earth Sciences

SN - 1866-6280

ER -