Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2018
Research article |
| 03 Jan 2018
| 03 Jan 2018
Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000
Rodolfo M. Mendes
CORRESPONDING AUTHOR
National Center for Monitoring and Early Warning of Natural Disasters,
Parque Tecnológico/São José dos Campos, Estrada Doutor Altino
Bondesan 500,12247-016, São Paulo, Brazil
Márcio Roberto M. de Andrade
National Center for Monitoring and Early Warning of Natural Disasters,
Parque Tecnológico/São José dos Campos, Estrada Doutor Altino
Bondesan 500,12247-016, São Paulo, Brazil
Javier Tomasella
National Center for Monitoring and Early Warning of Natural Disasters,
Parque Tecnológico/São José dos Campos, Estrada Doutor Altino
Bondesan 500,12247-016, São Paulo, Brazil
Márcio Augusto E. de Moraes
National Center for Monitoring and Early Warning of Natural Disasters,
Parque Tecnológico/São José dos Campos, Estrada Doutor Altino
Bondesan 500,12247-016, São Paulo, Brazil
Graziela B. Scofield
National Center for Monitoring and Early Warning of Natural Disasters,
Parque Tecnológico/São José dos Campos, Estrada Doutor Altino
Bondesan 500,12247-016, São Paulo, Brazil
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Cited
20 citations as recorded by crossref.
- Meteorological conditions and social impacts associated with natural disaster landslides in the Baixada Santista region from March 2nd–3rd, 2020 A. Freitas et al. 10.1016/j.uclim.2022.101110
- Investigation of landslide hazard areas in the municipality of Cunha (Brazil) and climate projections from 2024 to 2040 I. de Souza et al. 10.1016/j.uclim.2023.101710
- Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro E. Alcântara et al. 10.5194/nhess-23-1157-2023
- Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data E. Psomiadis et al. 10.3390/land9050133
- Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping T. Luti et al. 10.3390/rs12091486
- Daily rainfall erosivity as an indicator for natural disasters: assessment in mountainous regions of southeastern Brazil C. de Mello et al. 10.1007/s11069-020-04020-w
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data I. Müller et al. 10.3390/rs12152474
- Prototyping low-cost automatic weather stations for natural disaster monitoring G. Bernardes et al. 10.1016/j.dcan.2022.05.002
- Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas T. König et al. 10.1007/s11069-019-03691-4
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- The influence of land use/land cover variability and rainfall intensity in triggering landslides: a back-analysis study via physically based models F. Ávila et al. 10.1007/s11069-020-04324-x
- Engineering geological mapping procedures in data-scarce hillsides for shallow landslide assessments: Applications in southeastern Brazil A. da Silva et al. 10.1016/j.jsames.2021.103489
- Analysis of extreme rainfall and landslides in the metropolitan region of the Paraiba do Sul River Valley and North Coast of Sao Paulo, Brazil R. da Silva et al. 10.1007/s00704-024-04857-2
- Vulnerability index related to populations at-risk for landslides in the Brazilian Early Warning System (BEWS) M. Assis Dias et al. 10.1016/j.ijdrr.2020.101742
- Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas J. Yang et al. 10.1007/s12583-021-1465-4
- Geochemical and Mineralogical Contributions in the Study of Sedimentary Rock (Barreiras Formation) Soils, Recife/Brazil: Implications for Landslides T. Fontoura et al. 10.1007/s10706-022-02274-8
- Multitemporal landslide exposure and vulnerability assessment in Medellín, Colombia M. Kühnl et al. 10.1007/s11069-022-05679-z
- Natural disaster in the mountainous region of Rio de Janeiro state, Brazil: Assessment of the daily rainfall erosivity as an early warning index G. Alves et al. 10.1016/j.iswcr.2022.02.002
- Assessing Landslide Drivers in Social–Ecological–Technological Systems: The Case of Metropolitan Region of São Paulo, Brazil M. Hirye et al. 10.3390/rs15123048
20 citations as recorded by crossref.
- Meteorological conditions and social impacts associated with natural disaster landslides in the Baixada Santista region from March 2nd–3rd, 2020 A. Freitas et al. 10.1016/j.uclim.2022.101110
- Investigation of landslide hazard areas in the municipality of Cunha (Brazil) and climate projections from 2024 to 2040 I. de Souza et al. 10.1016/j.uclim.2023.101710
- Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro E. Alcântara et al. 10.5194/nhess-23-1157-2023
- Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data E. Psomiadis et al. 10.3390/land9050133
- Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping T. Luti et al. 10.3390/rs12091486
- Daily rainfall erosivity as an indicator for natural disasters: assessment in mountainous regions of southeastern Brazil C. de Mello et al. 10.1007/s11069-020-04020-w
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data I. Müller et al. 10.3390/rs12152474
- Prototyping low-cost automatic weather stations for natural disaster monitoring G. Bernardes et al. 10.1016/j.dcan.2022.05.002
- Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas T. König et al. 10.1007/s11069-019-03691-4
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- The influence of land use/land cover variability and rainfall intensity in triggering landslides: a back-analysis study via physically based models F. Ávila et al. 10.1007/s11069-020-04324-x
- Engineering geological mapping procedures in data-scarce hillsides for shallow landslide assessments: Applications in southeastern Brazil A. da Silva et al. 10.1016/j.jsames.2021.103489
- Analysis of extreme rainfall and landslides in the metropolitan region of the Paraiba do Sul River Valley and North Coast of Sao Paulo, Brazil R. da Silva et al. 10.1007/s00704-024-04857-2
- Vulnerability index related to populations at-risk for landslides in the Brazilian Early Warning System (BEWS) M. Assis Dias et al. 10.1016/j.ijdrr.2020.101742
- Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas J. Yang et al. 10.1007/s12583-021-1465-4
- Geochemical and Mineralogical Contributions in the Study of Sedimentary Rock (Barreiras Formation) Soils, Recife/Brazil: Implications for Landslides T. Fontoura et al. 10.1007/s10706-022-02274-8
- Multitemporal landslide exposure and vulnerability assessment in Medellín, Colombia M. Kühnl et al. 10.1007/s11069-022-05679-z
- Natural disaster in the mountainous region of Rio de Janeiro state, Brazil: Assessment of the daily rainfall erosivity as an early warning index G. Alves et al. 10.1016/j.iswcr.2022.02.002
- Assessing Landslide Drivers in Social–Ecological–Technological Systems: The Case of Metropolitan Region of São Paulo, Brazil M. Hirye et al. 10.3390/rs15123048
Latest update: 18 Apr 2024
Short summary
The results showed in this paper confirmed that the occurrence of landslides in the study area cannot be attributed solely and exclusively to the rainfall events of the year 2000. Therefore, numerical modelling results corroborated the fact that the occurrence of landslides was the combination of natural and anthropic factors, with the decisive influence of the latter due to the presence of several cuts along the slope combined with load of constructions and leakage.
The results showed in this paper confirmed that the occurrence of landslides in the study area...
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