The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China
Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chang, Ming [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Environmental science and pollution research - Springer Berlin Heidelberg, 1994, 28(2021), 16 vom: 06. Jan., Seite 20549-20569 |
|---|---|
| Übergeordnetes Werk: |
volume:28 ; year:2021 ; number:16 ; day:06 ; month:01 ; pages:20549-20569 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11356-020-11826-5 |
|---|
| Katalog-ID: |
OLC2125291622 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2125291622 | ||
| 003 | DE-627 | ||
| 005 | 20230505101239.0 | ||
| 007 | tu | ||
| 008 | 230505s2021 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11356-020-11826-5 |2 doi | |
| 035 | |a (DE-627)OLC2125291622 | ||
| 035 | |a (DE-He213)s11356-020-11826-5-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 570 |a 360 |a 333.7 |q VZ |
| 082 | 0 | 4 | |a 690 |a 333.7 |a 540 |q VZ |
| 084 | |a BIODIV |q DE-30 |2 fid | ||
| 100 | 1 | |a Chang, Ming |e verfasserin |0 (orcid)0000-0003-0377-774X |4 aut | |
| 245 | 1 | 0 | |a The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China |
| 264 | 1 | |c 2021 | |
| 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 © Springer-Verlag GmbH Germany, part of Springer Nature 2021 | ||
| 520 | |a Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. | ||
| 650 | 4 | |a Lushan earthquake | |
| 650 | 4 | |a Jiuzhaigou earthquake | |
| 650 | 4 | |a Coseismic landslides | |
| 650 | 4 | |a Spatial distribution characteristics | |
| 700 | 1 | |a Cui, Peng |4 aut | |
| 700 | 1 | |a Xu, Lu |4 aut | |
| 700 | 1 | |a Zhou, Yu |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Environmental science and pollution research |d Springer Berlin Heidelberg, 1994 |g 28(2021), 16 vom: 06. Jan., Seite 20549-20569 |w (DE-627)171335805 |w (DE-600)1178791-0 |w (DE-576)038875101 |x 0944-1344 |7 nnns |
| 773 | 1 | 8 | |g volume:28 |g year:2021 |g number:16 |g day:06 |g month:01 |g pages:20549-20569 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11356-020-11826-5 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a FID-BIODIV | ||
| 912 | |a SSG-OLC-UMW | ||
| 912 | |a SSG-OLC-ARC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-CHE | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a GBV_ILN_252 | ||
| 912 | |a GBV_ILN_267 | ||
| 912 | |a GBV_ILN_2018 | ||
| 912 | |a GBV_ILN_4277 | ||
| 951 | |a AR | ||
| 952 | |d 28 |j 2021 |e 16 |b 06 |c 01 |h 20549-20569 | ||
| author_variant |
m c mc p c pc l x lx y z yz |
|---|---|
| matchkey_str |
article:09441344:2021----::hsailitiuinhrceitcocsimcadldsrgeebtes0uhnatqaenm7 |
| hierarchy_sort_str |
2021 |
| publishDate |
2021 |
| allfields |
10.1007/s11356-020-11826-5 doi (DE-627)OLC2125291622 (DE-He213)s11356-020-11826-5-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Chang, Ming verfasserin (orcid)0000-0003-0377-774X aut The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics Cui, Peng aut Xu, Lu aut Zhou, Yu aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2021), 16 vom: 06. Jan., Seite 20549-20569 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 https://doi.org/10.1007/s11356-020-11826-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2021 16 06 01 20549-20569 |
| spelling |
10.1007/s11356-020-11826-5 doi (DE-627)OLC2125291622 (DE-He213)s11356-020-11826-5-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Chang, Ming verfasserin (orcid)0000-0003-0377-774X aut The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics Cui, Peng aut Xu, Lu aut Zhou, Yu aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2021), 16 vom: 06. Jan., Seite 20549-20569 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 https://doi.org/10.1007/s11356-020-11826-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2021 16 06 01 20549-20569 |
| allfields_unstemmed |
10.1007/s11356-020-11826-5 doi (DE-627)OLC2125291622 (DE-He213)s11356-020-11826-5-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Chang, Ming verfasserin (orcid)0000-0003-0377-774X aut The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics Cui, Peng aut Xu, Lu aut Zhou, Yu aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2021), 16 vom: 06. Jan., Seite 20549-20569 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 https://doi.org/10.1007/s11356-020-11826-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2021 16 06 01 20549-20569 |
| allfieldsGer |
10.1007/s11356-020-11826-5 doi (DE-627)OLC2125291622 (DE-He213)s11356-020-11826-5-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Chang, Ming verfasserin (orcid)0000-0003-0377-774X aut The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics Cui, Peng aut Xu, Lu aut Zhou, Yu aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2021), 16 vom: 06. Jan., Seite 20549-20569 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 https://doi.org/10.1007/s11356-020-11826-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2021 16 06 01 20549-20569 |
| allfieldsSound |
10.1007/s11356-020-11826-5 doi (DE-627)OLC2125291622 (DE-He213)s11356-020-11826-5-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Chang, Ming verfasserin (orcid)0000-0003-0377-774X aut The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics Cui, Peng aut Xu, Lu aut Zhou, Yu aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2021), 16 vom: 06. Jan., Seite 20549-20569 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 https://doi.org/10.1007/s11356-020-11826-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2021 16 06 01 20549-20569 |
| language |
English |
| source |
Enthalten in Environmental science and pollution research 28(2021), 16 vom: 06. Jan., Seite 20549-20569 volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 |
| sourceStr |
Enthalten in Environmental science and pollution research 28(2021), 16 vom: 06. Jan., Seite 20549-20569 volume:28 year:2021 number:16 day:06 month:01 pages:20549-20569 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics |
| dewey-raw |
570 |
| isfreeaccess_bool |
false |
| container_title |
Environmental science and pollution research |
| authorswithroles_txt_mv |
Chang, Ming @@aut@@ Cui, Peng @@aut@@ Xu, Lu @@aut@@ Zhou, Yu @@aut@@ |
| publishDateDaySort_date |
2021-01-06T00:00:00Z |
| hierarchy_top_id |
171335805 |
| dewey-sort |
3570 |
| id |
OLC2125291622 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2125291622</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505101239.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230505s2021 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11356-020-11826-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2125291622</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11356-020-11826-5-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">570</subfield><subfield code="a">360</subfield><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="a">333.7</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chang, Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-0377-774X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</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">© Springer-Verlag GmbH Germany, part of Springer Nature 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lushan earthquake</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Jiuzhaigou earthquake</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coseismic landslides</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatial distribution characteristics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cui, Peng</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xu, Lu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Yu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental science and pollution research</subfield><subfield code="d">Springer Berlin Heidelberg, 1994</subfield><subfield code="g">28(2021), 16 vom: 06. Jan., Seite 20549-20569</subfield><subfield code="w">(DE-627)171335805</subfield><subfield code="w">(DE-600)1178791-0</subfield><subfield code="w">(DE-576)038875101</subfield><subfield code="x">0944-1344</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:28</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:16</subfield><subfield code="g">day:06</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:20549-20569</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11356-020-11826-5</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">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_252</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">28</subfield><subfield code="j">2021</subfield><subfield code="e">16</subfield><subfield code="b">06</subfield><subfield code="c">01</subfield><subfield code="h">20549-20569</subfield></datafield></record></collection>
|
| author |
Chang, Ming |
| spellingShingle |
Chang, Ming ddc 570 ddc 690 fid BIODIV misc Lushan earthquake misc Jiuzhaigou earthquake misc Coseismic landslides misc Spatial distribution characteristics The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China |
| authorStr |
Chang, Ming |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)171335805 |
| format |
Article |
| dewey-ones |
570 - Life sciences; biology 360 - Social problems & services; associations 333 - Economics of land & energy 690 - Buildings 540 - Chemistry & allied sciences |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0944-1344 |
| topic_title |
570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China Lushan earthquake Jiuzhaigou earthquake Coseismic landslides Spatial distribution characteristics |
| topic |
ddc 570 ddc 690 fid BIODIV misc Lushan earthquake misc Jiuzhaigou earthquake misc Coseismic landslides misc Spatial distribution characteristics |
| topic_unstemmed |
ddc 570 ddc 690 fid BIODIV misc Lushan earthquake misc Jiuzhaigou earthquake misc Coseismic landslides misc Spatial distribution characteristics |
| topic_browse |
ddc 570 ddc 690 fid BIODIV misc Lushan earthquake misc Jiuzhaigou earthquake misc Coseismic landslides misc Spatial distribution characteristics |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Environmental science and pollution research |
| hierarchy_parent_id |
171335805 |
| dewey-tens |
570 - Life sciences; biology 360 - Social problems & social services 330 - Economics 690 - Building & construction 540 - Chemistry |
| hierarchy_top_title |
Environmental science and pollution research |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 |
| title |
The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China |
| ctrlnum |
(DE-627)OLC2125291622 (DE-He213)s11356-020-11826-5-p |
| title_full |
The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China |
| author_sort |
Chang, Ming |
| journal |
Environmental science and pollution research |
| journalStr |
Environmental science and pollution research |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 300 - Social sciences 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2021 |
| contenttype_str_mv |
txt |
| container_start_page |
20549 |
| author_browse |
Chang, Ming Cui, Peng Xu, Lu Zhou, Yu |
| container_volume |
28 |
| class |
570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid |
| format_se |
Aufsätze |
| author-letter |
Chang, Ming |
| doi_str_mv |
10.1007/s11356-020-11826-5 |
| normlink |
(ORCID)0000-0003-0377-774X |
| normlink_prefix_str_mv |
(orcid)0000-0003-0377-774X |
| dewey-full |
570 360 333.7 690 540 |
| title_sort |
the spatial distribution characteristics of coseismic landslides triggered by the ms7.0 lushan earthquake and ms7.0 jiuzhaigou earthquake in southwest china |
| title_auth |
The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China |
| abstract |
Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| abstractGer |
Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 |
| container_issue |
16 |
| title_short |
The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China |
| url |
https://doi.org/10.1007/s11356-020-11826-5 |
| remote_bool |
false |
| author2 |
Cui, Peng Xu, Lu Zhou, Yu |
| author2Str |
Cui, Peng Xu, Lu Zhou, Yu |
| ppnlink |
171335805 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11356-020-11826-5 |
| up_date |
2024-07-04T03:12:35.796Z |
| _version_ |
1803616524239372288 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2125291622</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505101239.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230505s2021 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11356-020-11826-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2125291622</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11356-020-11826-5-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">570</subfield><subfield code="a">360</subfield><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="a">333.7</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chang, Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-0377-774X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</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">© Springer-Verlag GmbH Germany, part of Springer Nature 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In recent years, a series of earthquakes have occurred in Sichuan province, southwest China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within the research area of 1215.87 $ km^{2} $. On August 8, 2017, 821 landslides were induced in the Jiuzhaigou earthquake within the study area of 541.61 $ km^{2} $. The slope, aspect, elevation, distance to the river, distance to fault, stratum lithology, curvature, and PGA as evaluation factors were chosen to research the distribution characteristics of coseismic landslides. The relationship between influence factors and distribution of coseismic landslides were analyzed using landslide area density (LAD), defined as the ratio between the coseismic landslides area and the total area under the specific classification of eight factors, and landslide number density (LND), interpreted as the number of landslides per square kilometer affected by an earthquake. Both the LAD and LND curves show the common correlations between distribution characteristics of coseismic landslides and the classification of eight factors. The high density of coseismic landslides was found at locations where the valley evolves from U-shaped to V-shaped, along slopes with an inclination between 20 and 50°. Due to the effect of river cutting erosion and human engineering activities, massive coseismic landslides appeared within the scope of 200 m from the river system. Eight hundred sixty small shallow coseismic landslides were found less than 3 km from the seismogenic fault in both earthquakes. Both concave and convex terrain has the same effect of promoting coseismic landslides. The strata of the Carboniferous and Cretaceous are more prone to coseismic landslides occurrence. In the event of another earthquake of similar magnitude in southwest China in the future, the research results can quickly predict the distribution of coseismic landslides and provide a scientific basis for emergency rescue.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lushan earthquake</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Jiuzhaigou earthquake</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coseismic landslides</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatial distribution characteristics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cui, Peng</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xu, Lu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Yu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental science and pollution research</subfield><subfield code="d">Springer Berlin Heidelberg, 1994</subfield><subfield code="g">28(2021), 16 vom: 06. Jan., Seite 20549-20569</subfield><subfield code="w">(DE-627)171335805</subfield><subfield code="w">(DE-600)1178791-0</subfield><subfield code="w">(DE-576)038875101</subfield><subfield code="x">0944-1344</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:28</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:16</subfield><subfield code="g">day:06</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:20549-20569</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11356-020-11826-5</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">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_252</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">28</subfield><subfield code="j">2021</subfield><subfield code="e">16</subfield><subfield code="b">06</subfield><subfield code="c">01</subfield><subfield code="h">20549-20569</subfield></datafield></record></collection>
|
| score |
7.3992968 |