Modelling glacial lake outburst flood impacts in the Bolivian Andes
Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous resear...
Ausführliche Beschreibung
Autor*in: |
Kougkoulos, Ioannis [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2018 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Author(s) 2018 |
---|
Übergeordnetes Werk: |
Enthalten in: Natural hazards - Springer Netherlands, 1988, 94(2018), 3 vom: 26. Sept., Seite 1415-1438 |
---|---|
Übergeordnetes Werk: |
volume:94 ; year:2018 ; number:3 ; day:26 ; month:09 ; pages:1415-1438 |
Links: |
---|
DOI / URN: |
10.1007/s11069-018-3486-6 |
---|
Katalog-ID: |
OLC2053687177 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | OLC2053687177 | ||
003 | DE-627 | ||
005 | 20230503223739.0 | ||
007 | tu | ||
008 | 200820s2018 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1007/s11069-018-3486-6 |2 doi | |
035 | |a (DE-627)OLC2053687177 | ||
035 | |a (DE-He213)s11069-018-3486-6-p | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 550 |q VZ |
084 | |a 14 |2 ssgn | ||
100 | 1 | |a Kougkoulos, Ioannis |e verfasserin |0 (orcid)0000-0002-5001-2961 |4 aut | |
245 | 1 | 0 | |a Modelling glacial lake outburst flood impacts in the Bolivian Andes |
264 | 1 | |c 2018 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
500 | |a © The Author(s) 2018 | ||
520 | |a Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. | ||
650 | 4 | |a Bolivian Andes | |
650 | 4 | |a Geohazards | |
650 | 4 | |a Glacial lake outburst floods (GLOFs) | |
650 | 4 | |a Hydrodynamic modelling | |
650 | 4 | |a Risk assessment | |
700 | 1 | |a Cook, Simon J. |4 aut | |
700 | 1 | |a Edwards, Laura A. |4 aut | |
700 | 1 | |a Clarke, Leon J. |4 aut | |
700 | 1 | |a Symeonakis, Elias |4 aut | |
700 | 1 | |a Dortch, Jason M. |4 aut | |
700 | 1 | |a Nesbitt, Kathleen |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Natural hazards |d Springer Netherlands, 1988 |g 94(2018), 3 vom: 26. Sept., Seite 1415-1438 |w (DE-627)131010271 |w (DE-600)1088547-X |w (DE-576)03285272X |x 0921-030X |7 nnns |
773 | 1 | 8 | |g volume:94 |g year:2018 |g number:3 |g day:26 |g month:09 |g pages:1415-1438 |
856 | 4 | 1 | |u https://doi.org/10.1007/s11069-018-3486-6 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-PHY | ||
912 | |a SSG-OLC-MAT | ||
912 | |a SSG-OPC-GGO | ||
912 | |a SSG-OPC-MAT | ||
912 | |a GBV_ILN_70 | ||
951 | |a AR | ||
952 | |d 94 |j 2018 |e 3 |b 26 |c 09 |h 1415-1438 |
author_variant |
i k ik s j c sj sjc l a e la lae l j c lj ljc e s es j m d jm jmd k n kn |
---|---|
matchkey_str |
article:0921030X:2018----::oelngailaeubrtloipcsn |
hierarchy_sort_str |
2018 |
publishDate |
2018 |
allfields |
10.1007/s11069-018-3486-6 doi (DE-627)OLC2053687177 (DE-He213)s11069-018-3486-6-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Kougkoulos, Ioannis verfasserin (orcid)0000-0002-5001-2961 aut Modelling glacial lake outburst flood impacts in the Bolivian Andes 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2018 Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment Cook, Simon J. aut Edwards, Laura A. aut Clarke, Leon J. aut Symeonakis, Elias aut Dortch, Jason M. aut Nesbitt, Kathleen aut Enthalten in Natural hazards Springer Netherlands, 1988 94(2018), 3 vom: 26. Sept., Seite 1415-1438 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 https://doi.org/10.1007/s11069-018-3486-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_70 AR 94 2018 3 26 09 1415-1438 |
spelling |
10.1007/s11069-018-3486-6 doi (DE-627)OLC2053687177 (DE-He213)s11069-018-3486-6-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Kougkoulos, Ioannis verfasserin (orcid)0000-0002-5001-2961 aut Modelling glacial lake outburst flood impacts in the Bolivian Andes 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2018 Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment Cook, Simon J. aut Edwards, Laura A. aut Clarke, Leon J. aut Symeonakis, Elias aut Dortch, Jason M. aut Nesbitt, Kathleen aut Enthalten in Natural hazards Springer Netherlands, 1988 94(2018), 3 vom: 26. Sept., Seite 1415-1438 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 https://doi.org/10.1007/s11069-018-3486-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_70 AR 94 2018 3 26 09 1415-1438 |
allfields_unstemmed |
10.1007/s11069-018-3486-6 doi (DE-627)OLC2053687177 (DE-He213)s11069-018-3486-6-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Kougkoulos, Ioannis verfasserin (orcid)0000-0002-5001-2961 aut Modelling glacial lake outburst flood impacts in the Bolivian Andes 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2018 Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment Cook, Simon J. aut Edwards, Laura A. aut Clarke, Leon J. aut Symeonakis, Elias aut Dortch, Jason M. aut Nesbitt, Kathleen aut Enthalten in Natural hazards Springer Netherlands, 1988 94(2018), 3 vom: 26. Sept., Seite 1415-1438 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 https://doi.org/10.1007/s11069-018-3486-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_70 AR 94 2018 3 26 09 1415-1438 |
allfieldsGer |
10.1007/s11069-018-3486-6 doi (DE-627)OLC2053687177 (DE-He213)s11069-018-3486-6-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Kougkoulos, Ioannis verfasserin (orcid)0000-0002-5001-2961 aut Modelling glacial lake outburst flood impacts in the Bolivian Andes 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2018 Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment Cook, Simon J. aut Edwards, Laura A. aut Clarke, Leon J. aut Symeonakis, Elias aut Dortch, Jason M. aut Nesbitt, Kathleen aut Enthalten in Natural hazards Springer Netherlands, 1988 94(2018), 3 vom: 26. Sept., Seite 1415-1438 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 https://doi.org/10.1007/s11069-018-3486-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_70 AR 94 2018 3 26 09 1415-1438 |
allfieldsSound |
10.1007/s11069-018-3486-6 doi (DE-627)OLC2053687177 (DE-He213)s11069-018-3486-6-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Kougkoulos, Ioannis verfasserin (orcid)0000-0002-5001-2961 aut Modelling glacial lake outburst flood impacts in the Bolivian Andes 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2018 Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment Cook, Simon J. aut Edwards, Laura A. aut Clarke, Leon J. aut Symeonakis, Elias aut Dortch, Jason M. aut Nesbitt, Kathleen aut Enthalten in Natural hazards Springer Netherlands, 1988 94(2018), 3 vom: 26. Sept., Seite 1415-1438 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 https://doi.org/10.1007/s11069-018-3486-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_70 AR 94 2018 3 26 09 1415-1438 |
language |
English |
source |
Enthalten in Natural hazards 94(2018), 3 vom: 26. Sept., Seite 1415-1438 volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 |
sourceStr |
Enthalten in Natural hazards 94(2018), 3 vom: 26. Sept., Seite 1415-1438 volume:94 year:2018 number:3 day:26 month:09 pages:1415-1438 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment |
dewey-raw |
550 |
isfreeaccess_bool |
false |
container_title |
Natural hazards |
authorswithroles_txt_mv |
Kougkoulos, Ioannis @@aut@@ Cook, Simon J. @@aut@@ Edwards, Laura A. @@aut@@ Clarke, Leon J. @@aut@@ Symeonakis, Elias @@aut@@ Dortch, Jason M. @@aut@@ Nesbitt, Kathleen @@aut@@ |
publishDateDaySort_date |
2018-09-26T00:00:00Z |
hierarchy_top_id |
131010271 |
dewey-sort |
3550 |
id |
OLC2053687177 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2053687177</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503223739.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2018 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11069-018-3486-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2053687177</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11069-018-3486-6-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kougkoulos, Ioannis</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-5001-2961</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modelling glacial lake outburst flood impacts in the Bolivian Andes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bolivian Andes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geohazards</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Glacial lake outburst floods (GLOFs)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hydrodynamic modelling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk assessment</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cook, Simon J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Edwards, Laura A.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Clarke, Leon J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Symeonakis, Elias</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dortch, Jason M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nesbitt, Kathleen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Natural hazards</subfield><subfield code="d">Springer Netherlands, 1988</subfield><subfield code="g">94(2018), 3 vom: 26. Sept., Seite 1415-1438</subfield><subfield code="w">(DE-627)131010271</subfield><subfield code="w">(DE-600)1088547-X</subfield><subfield code="w">(DE-576)03285272X</subfield><subfield code="x">0921-030X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:94</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:3</subfield><subfield code="g">day:26</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:1415-1438</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11069-018-3486-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">94</subfield><subfield code="j">2018</subfield><subfield code="e">3</subfield><subfield code="b">26</subfield><subfield code="c">09</subfield><subfield code="h">1415-1438</subfield></datafield></record></collection>
|
author |
Kougkoulos, Ioannis |
spellingShingle |
Kougkoulos, Ioannis ddc 550 ssgn 14 misc Bolivian Andes misc Geohazards misc Glacial lake outburst floods (GLOFs) misc Hydrodynamic modelling misc Risk assessment Modelling glacial lake outburst flood impacts in the Bolivian Andes |
authorStr |
Kougkoulos, Ioannis |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)131010271 |
format |
Article |
dewey-ones |
550 - Earth sciences |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
0921-030X |
topic_title |
550 VZ 14 ssgn Modelling glacial lake outburst flood impacts in the Bolivian Andes Bolivian Andes Geohazards Glacial lake outburst floods (GLOFs) Hydrodynamic modelling Risk assessment |
topic |
ddc 550 ssgn 14 misc Bolivian Andes misc Geohazards misc Glacial lake outburst floods (GLOFs) misc Hydrodynamic modelling misc Risk assessment |
topic_unstemmed |
ddc 550 ssgn 14 misc Bolivian Andes misc Geohazards misc Glacial lake outburst floods (GLOFs) misc Hydrodynamic modelling misc Risk assessment |
topic_browse |
ddc 550 ssgn 14 misc Bolivian Andes misc Geohazards misc Glacial lake outburst floods (GLOFs) misc Hydrodynamic modelling misc Risk assessment |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
hierarchy_parent_title |
Natural hazards |
hierarchy_parent_id |
131010271 |
dewey-tens |
550 - Earth sciences & geology |
hierarchy_top_title |
Natural hazards |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X |
title |
Modelling glacial lake outburst flood impacts in the Bolivian Andes |
ctrlnum |
(DE-627)OLC2053687177 (DE-He213)s11069-018-3486-6-p |
title_full |
Modelling glacial lake outburst flood impacts in the Bolivian Andes |
author_sort |
Kougkoulos, Ioannis |
journal |
Natural hazards |
journalStr |
Natural hazards |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
500 - Science |
recordtype |
marc |
publishDateSort |
2018 |
contenttype_str_mv |
txt |
container_start_page |
1415 |
author_browse |
Kougkoulos, Ioannis Cook, Simon J. Edwards, Laura A. Clarke, Leon J. Symeonakis, Elias Dortch, Jason M. Nesbitt, Kathleen |
container_volume |
94 |
class |
550 VZ 14 ssgn |
format_se |
Aufsätze |
author-letter |
Kougkoulos, Ioannis |
doi_str_mv |
10.1007/s11069-018-3486-6 |
normlink |
(ORCID)0000-0002-5001-2961 |
normlink_prefix_str_mv |
(orcid)0000-0002-5001-2961 |
dewey-full |
550 |
title_sort |
modelling glacial lake outburst flood impacts in the bolivian andes |
title_auth |
Modelling glacial lake outburst flood impacts in the Bolivian Andes |
abstract |
Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. © The Author(s) 2018 |
abstractGer |
Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. © The Author(s) 2018 |
abstract_unstemmed |
Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers. © The Author(s) 2018 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_70 |
container_issue |
3 |
title_short |
Modelling glacial lake outburst flood impacts in the Bolivian Andes |
url |
https://doi.org/10.1007/s11069-018-3486-6 |
remote_bool |
false |
author2 |
Cook, Simon J. Edwards, Laura A. Clarke, Leon J. Symeonakis, Elias Dortch, Jason M. Nesbitt, Kathleen |
author2Str |
Cook, Simon J. Edwards, Laura A. Clarke, Leon J. Symeonakis, Elias Dortch, Jason M. Nesbitt, Kathleen |
ppnlink |
131010271 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s11069-018-3486-6 |
up_date |
2024-07-03T20:11:43.657Z |
_version_ |
1803590045443031040 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2053687177</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503223739.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2018 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11069-018-3486-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2053687177</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11069-018-3486-6-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kougkoulos, Ioannis</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-5001-2961</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modelling glacial lake outburst flood impacts in the Bolivian Andes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The Bolivian Andes have experienced sustained and widespread glacier mass loss in recent decades. Glacier recession has been accompanied by the development of proglacial lakes, which pose a glacial lake outburst flood (GLOF) risk to downstream communities and infrastructure. Previous research has identified three potentially dangerous glacial lakes in the Bolivian Andes, but no attempt has yet been made to model GLOF inundation downstream from these lakes. We generated 2-m resolution DEMs from stereo and tri-stereo SPOT 6/7 satellite images to drive a hydrodynamic model of GLOF flow (HEC-RAS 5.0.3). The model was tested against field observations of a 2009 GLOF from Keara, in the Cordillera Apolobamba, and was shown to reproduce realistic flood depths and inundation. The model was then used to model GLOFs from Pelechuco lake (Cordillera Apolobamba) and Laguna Arkhata and Laguna Glaciar (Cordillera Real). In total, six villages could be affected by GLOFs if all three lakes burst. For sensitivity analysis, we ran the model for three scenarios (pessimistic, intermediate, optimistic), which give a range of ~ 1100 to ~ 2200 people affected by flooding; between ~ 800 and ~ 2100 people could be exposed to floods with a flow depth ≥ 2 m, which could be life threatening and cause a significant damage to infrastructure. We suggest that Laguna Arkhata and Pelechuco lake represent the greatest risk due to the higher numbers of people who live in the potential flow paths, and hence, these two glacial lakes should be a priority for risk managers.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bolivian Andes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geohazards</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Glacial lake outburst floods (GLOFs)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hydrodynamic modelling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk assessment</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cook, Simon J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Edwards, Laura A.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Clarke, Leon J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Symeonakis, Elias</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dortch, Jason M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nesbitt, Kathleen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Natural hazards</subfield><subfield code="d">Springer Netherlands, 1988</subfield><subfield code="g">94(2018), 3 vom: 26. Sept., Seite 1415-1438</subfield><subfield code="w">(DE-627)131010271</subfield><subfield code="w">(DE-600)1088547-X</subfield><subfield code="w">(DE-576)03285272X</subfield><subfield code="x">0921-030X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:94</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:3</subfield><subfield code="g">day:26</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:1415-1438</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11069-018-3486-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">94</subfield><subfield code="j">2018</subfield><subfield code="e">3</subfield><subfield code="b">26</subfield><subfield code="c">09</subfield><subfield code="h">1415-1438</subfield></datafield></record></collection>
|
score |
7.4000454 |