Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil
Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53...
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| Autor*in: |
da Silva, Roberta Pereira [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Bulletin of engineering geology and the environment - Berlin : Springer, 1970, 81(2022), 1 vom: Jan. |
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| Übergeordnetes Werk: |
volume:81 ; year:2022 ; number:1 ; month:01 |
| Links: |
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| DOI / URN: |
10.1007/s10064-021-02557-z |
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| 520 | |a Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. | ||
| 650 | 4 | |a Shallow landslide |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Geotechnical parameters |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Geological-geotechnical map |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mountainous region |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Lacerda, Willy Alvarenga |4 aut | |
| 700 | 1 | |a Coelho Netto, Ana Luiza |4 aut | |
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10.1007/s10064-021-02557-z doi (DE-627)SPR045904383 (SPR)s10064-021-02557-z-e DE-627 ger DE-627 rakwb eng da Silva, Roberta Pereira verfasserin (orcid)0000-0003-4662-0531 aut Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. Shallow landslide (dpeaa)DE-He213 Geotechnical parameters (dpeaa)DE-He213 Geological-geotechnical map (dpeaa)DE-He213 Mountainous region (dpeaa)DE-He213 Lacerda, Willy Alvarenga aut Coelho Netto, Ana Luiza aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 81(2022), 1 vom: Jan. (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:81 year:2022 number:1 month:01 https://dx.doi.org/10.1007/s10064-021-02557-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 1 01 |
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10.1007/s10064-021-02557-z doi (DE-627)SPR045904383 (SPR)s10064-021-02557-z-e DE-627 ger DE-627 rakwb eng da Silva, Roberta Pereira verfasserin (orcid)0000-0003-4662-0531 aut Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. Shallow landslide (dpeaa)DE-He213 Geotechnical parameters (dpeaa)DE-He213 Geological-geotechnical map (dpeaa)DE-He213 Mountainous region (dpeaa)DE-He213 Lacerda, Willy Alvarenga aut Coelho Netto, Ana Luiza aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 81(2022), 1 vom: Jan. (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:81 year:2022 number:1 month:01 https://dx.doi.org/10.1007/s10064-021-02557-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 1 01 |
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10.1007/s10064-021-02557-z doi (DE-627)SPR045904383 (SPR)s10064-021-02557-z-e DE-627 ger DE-627 rakwb eng da Silva, Roberta Pereira verfasserin (orcid)0000-0003-4662-0531 aut Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. Shallow landslide (dpeaa)DE-He213 Geotechnical parameters (dpeaa)DE-He213 Geological-geotechnical map (dpeaa)DE-He213 Mountainous region (dpeaa)DE-He213 Lacerda, Willy Alvarenga aut Coelho Netto, Ana Luiza aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 81(2022), 1 vom: Jan. (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:81 year:2022 number:1 month:01 https://dx.doi.org/10.1007/s10064-021-02557-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 1 01 |
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10.1007/s10064-021-02557-z doi (DE-627)SPR045904383 (SPR)s10064-021-02557-z-e DE-627 ger DE-627 rakwb eng da Silva, Roberta Pereira verfasserin (orcid)0000-0003-4662-0531 aut Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. Shallow landslide (dpeaa)DE-He213 Geotechnical parameters (dpeaa)DE-He213 Geological-geotechnical map (dpeaa)DE-He213 Mountainous region (dpeaa)DE-He213 Lacerda, Willy Alvarenga aut Coelho Netto, Ana Luiza aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 81(2022), 1 vom: Jan. (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:81 year:2022 number:1 month:01 https://dx.doi.org/10.1007/s10064-021-02557-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 1 01 |
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10.1007/s10064-021-02557-z doi (DE-627)SPR045904383 (SPR)s10064-021-02557-z-e DE-627 ger DE-627 rakwb eng da Silva, Roberta Pereira verfasserin (orcid)0000-0003-4662-0531 aut Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. Shallow landslide (dpeaa)DE-He213 Geotechnical parameters (dpeaa)DE-He213 Geological-geotechnical map (dpeaa)DE-He213 Mountainous region (dpeaa)DE-He213 Lacerda, Willy Alvarenga aut Coelho Netto, Ana Luiza aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 81(2022), 1 vom: Jan. (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:81 year:2022 number:1 month:01 https://dx.doi.org/10.1007/s10064-021-02557-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 1 01 |
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A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. 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da Silva, Roberta Pereira |
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da Silva, Roberta Pereira misc Shallow landslide misc Geotechnical parameters misc Geological-geotechnical map misc Mountainous region Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil |
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Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil Shallow landslide (dpeaa)DE-He213 Geotechnical parameters (dpeaa)DE-He213 Geological-geotechnical map (dpeaa)DE-He213 Mountainous region (dpeaa)DE-He213 |
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relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: nova friburgo, rio de janeiro, brazil |
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Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil |
| abstract |
Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. © Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstractGer |
Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. © Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract This study aims to contribute to the analysis and classification methodology of geological derivation information regarding the detailed zoning of terrain susceptibility to the occurrence of shallow landslides. A geological-geotechnical classification model for the Córrego D’Antas basin (53 $ km^{2} $) was proposed from a geological map (1:10,000). The analysis was based on a set of data built through field investigations and laboratory experiments, later submitted to statistical treatment. Thirty samples were collected from five lithological units and then classified according to the type of material (COL, colluvium; MRS, mature residual soil; YRS, young residual soil) about the following geotechnical parameters: (i) particle size distribution, (ii) Atterberg limits, (iii) stability of aggregates, (iv) void index, (v) dry unit weight, (vi) in situ saturated hydraulic conductivity, (vii) effective cohesion, and (viii) internal effective friction angle. The results allowed the definition of the behavior of the types of materials and the division of the lithological units into three geological-geotechnical units: (i) unit I—gabbro, (ii) unit II—equigranular granite, (iii) unit III—diorite, granodiorite granite, and orthogneiss. These geological-geotechnical units showed a good correlation with the critical classes for landslides related to hydro-geomorphological conditions, vegetation and land use, and slope angle (> 30°). The proposed classification represents an advance in the understanding of geotechnical parameters that are part of the prediction of models of terrain susceptibility to shallow landslides from the geo-hydroecological approach. In addition, it provides an input database for physics-based model predictions in mountainous region. © Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil |
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|
| score |
7.40038 |