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Seismic site characteristics of shallow sediments in the Bangkok Metropolitan Region, and their inherent relations
This paper presents the site characteristics of soft deposits in Bangkok Metropolitan Region, and their inherent relations, which were explored using microtremor observations. The predominant period ( T P ) and shear wave velocity ( V S ) profiles from the surface to a 100-m depth at 150 sites over...
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Published in: | Bulletin of engineering geology and the environment 2019-04, Vol.78 (3), p.1327-1343 |
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description | This paper presents the site characteristics of soft deposits in Bangkok Metropolitan Region, and their inherent relations, which were explored using microtremor observations. The predominant period (
T
P
) and shear wave velocity (
V
S
) profiles from the surface to a 100-m depth at 150 sites over an area of approximately 150 × 200 km were explored using the Horizontal-to-Vertical (H/V) spectral ratio method and the Spatial Autocorrelation (SPAC) method, respectively. Spatial variations of
T
P
and average
V
S
are presented in maps and discussed with the distribution of soft clay. The results show that the shallow structure is rather uniform in the central area, having low
V
S
, long
T
P
, and thick soft clay.
V
S
increases, while
T
P
tends to decrease gradually towards the north and east and more sharply towards the west. Using a number of the observed site characteristics, relations among the average
V
S
at different depths and
T
P
were examined. Regression analysis revealed high correlations and almost linear relations among them, suggesting that
V
S
at deep strata could be simply estimated from the shallow
V
S
or
T
P
. Finally, a simple scheme to estimate the
V
S
profile using only the phase velocity at specific wavelengths is proposed. |
doi_str_mv | 10.1007/s10064-017-1220-3 |
format | article |
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T
P
) and shear wave velocity (
V
S
) profiles from the surface to a 100-m depth at 150 sites over an area of approximately 150 × 200 km were explored using the Horizontal-to-Vertical (H/V) spectral ratio method and the Spatial Autocorrelation (SPAC) method, respectively. Spatial variations of
T
P
and average
V
S
are presented in maps and discussed with the distribution of soft clay. The results show that the shallow structure is rather uniform in the central area, having low
V
S
, long
T
P
, and thick soft clay.
V
S
increases, while
T
P
tends to decrease gradually towards the north and east and more sharply towards the west. Using a number of the observed site characteristics, relations among the average
V
S
at different depths and
T
P
were examined. Regression analysis revealed high correlations and almost linear relations among them, suggesting that
V
S
at deep strata could be simply estimated from the shallow
V
S
or
T
P
. Finally, a simple scheme to estimate the
V
S
profile using only the phase velocity at specific wavelengths is proposed.</description><identifier>ISSN: 1435-9529</identifier><identifier>EISSN: 1435-9537</identifier><identifier>DOI: 10.1007/s10064-017-1220-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Autocorrelation ; Clay ; Correlation analysis ; Data processing ; Earth and Environmental Science ; Earth Sciences ; Foundations ; Geoecology/Natural Processes ; Geoengineering ; Geological engineering ; Geotechnical Engineering & Applied Earth Sciences ; Hydraulics ; Methods ; Metropolitan areas ; Nature Conservation ; Original Paper ; Phase velocity ; Profiles ; Regression analysis ; Sediments ; Seismic velocities ; Shear wave velocities ; Soft clay ; Spatial distribution ; Spatial variations ; Velocity ; Wave velocity ; Wavelengths</subject><ispartof>Bulletin of engineering geology and the environment, 2019-04, Vol.78 (3), p.1327-1343</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Bulletin of Engineering Geology and the Environment is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a339t-9d145d6dd67c8c718005f531d04fc5b44838f22b65d8700296635e1bebc0e91a3</citedby><cites>FETCH-LOGICAL-a339t-9d145d6dd67c8c718005f531d04fc5b44838f22b65d8700296635e1bebc0e91a3</cites><orcidid>0000-0003-2097-8690</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Jirasakjamroonsri, Amorntep</creatorcontrib><creatorcontrib>Poovarodom, Nakhorn</creatorcontrib><creatorcontrib>Warnitchai, Pennung</creatorcontrib><title>Seismic site characteristics of shallow sediments in the Bangkok Metropolitan Region, and their inherent relations</title><title>Bulletin of engineering geology and the environment</title><addtitle>Bull Eng Geol Environ</addtitle><description>This paper presents the site characteristics of soft deposits in Bangkok Metropolitan Region, and their inherent relations, which were explored using microtremor observations. The predominant period (
T
P
) and shear wave velocity (
V
S
) profiles from the surface to a 100-m depth at 150 sites over an area of approximately 150 × 200 km were explored using the Horizontal-to-Vertical (H/V) spectral ratio method and the Spatial Autocorrelation (SPAC) method, respectively. Spatial variations of
T
P
and average
V
S
are presented in maps and discussed with the distribution of soft clay. The results show that the shallow structure is rather uniform in the central area, having low
V
S
, long
T
P
, and thick soft clay.
V
S
increases, while
T
P
tends to decrease gradually towards the north and east and more sharply towards the west. Using a number of the observed site characteristics, relations among the average
V
S
at different depths and
T
P
were examined. Regression analysis revealed high correlations and almost linear relations among them, suggesting that
V
S
at deep strata could be simply estimated from the shallow
V
S
or
T
P
. Finally, a simple scheme to estimate the
V
S
profile using only the phase velocity at specific wavelengths is proposed.</description><subject>Autocorrelation</subject><subject>Clay</subject><subject>Correlation analysis</subject><subject>Data processing</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Foundations</subject><subject>Geoecology/Natural Processes</subject><subject>Geoengineering</subject><subject>Geological engineering</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydraulics</subject><subject>Methods</subject><subject>Metropolitan areas</subject><subject>Nature Conservation</subject><subject>Original Paper</subject><subject>Phase velocity</subject><subject>Profiles</subject><subject>Regression analysis</subject><subject>Sediments</subject><subject>Seismic velocities</subject><subject>Shear wave velocities</subject><subject>Soft clay</subject><subject>Spatial distribution</subject><subject>Spatial variations</subject><subject>Velocity</subject><subject>Wave velocity</subject><subject>Wavelengths</subject><issn>1435-9529</issn><issn>1435-9537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LAzEQhoMoWKs_wFvAq6v52Oxujip-QUXw4xyy2dk27TapSYr4701ZES9eZgbmeWbgReiUkgtKSH0Zc63KgtC6oIyRgu-hCS25KKTg9f7vzOQhOopxSQgVDaMTFF7BxrU1ONoE2Cx00CZBsDFZE7HvcVzoYfCfOEJn1-BSxNbhtAB8rd185Vf4CVLwGz_YpB1-gbn17hxr1-0gGzK9gJA9HGDQKS_jMTro9RDh5KdP0fvd7dvNQzF7vn-8uZoVmnOZCtnRUnRV11W1aUxNG0JELzjtSNkb0ZZlw5uesbYSXVMTwmRVcQG0hdYQkFTzKTob726C_9hCTGrpt8Hll4pKyRrBeCMzRUfKBB9jgF5tgl3r8KUoUbto1RitytGqXbSKZ4eNTsysm0P4c_lf6RuvfnzK</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Jirasakjamroonsri, Amorntep</creator><creator>Poovarodom, Nakhorn</creator><creator>Warnitchai, Pennung</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2097-8690</orcidid></search><sort><creationdate>20190401</creationdate><title>Seismic site characteristics of shallow sediments in the Bangkok Metropolitan Region, and their inherent relations</title><author>Jirasakjamroonsri, Amorntep ; Poovarodom, Nakhorn ; Warnitchai, Pennung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a339t-9d145d6dd67c8c718005f531d04fc5b44838f22b65d8700296635e1bebc0e91a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Autocorrelation</topic><topic>Clay</topic><topic>Correlation analysis</topic><topic>Data processing</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Foundations</topic><topic>Geoecology/Natural Processes</topic><topic>Geoengineering</topic><topic>Geological engineering</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydraulics</topic><topic>Methods</topic><topic>Metropolitan areas</topic><topic>Nature Conservation</topic><topic>Original Paper</topic><topic>Phase velocity</topic><topic>Profiles</topic><topic>Regression analysis</topic><topic>Sediments</topic><topic>Seismic velocities</topic><topic>Shear wave velocities</topic><topic>Soft clay</topic><topic>Spatial distribution</topic><topic>Spatial variations</topic><topic>Velocity</topic><topic>Wave velocity</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jirasakjamroonsri, Amorntep</creatorcontrib><creatorcontrib>Poovarodom, Nakhorn</creatorcontrib><creatorcontrib>Warnitchai, Pennung</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><jtitle>Bulletin of engineering geology and the environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jirasakjamroonsri, Amorntep</au><au>Poovarodom, Nakhorn</au><au>Warnitchai, Pennung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seismic site characteristics of shallow sediments in the Bangkok Metropolitan Region, and their inherent relations</atitle><jtitle>Bulletin of engineering geology and the environment</jtitle><stitle>Bull Eng Geol Environ</stitle><date>2019-04-01</date><risdate>2019</risdate><volume>78</volume><issue>3</issue><spage>1327</spage><epage>1343</epage><pages>1327-1343</pages><issn>1435-9529</issn><eissn>1435-9537</eissn><abstract>This paper presents the site characteristics of soft deposits in Bangkok Metropolitan Region, and their inherent relations, which were explored using microtremor observations. The predominant period (
T
P
) and shear wave velocity (
V
S
) profiles from the surface to a 100-m depth at 150 sites over an area of approximately 150 × 200 km were explored using the Horizontal-to-Vertical (H/V) spectral ratio method and the Spatial Autocorrelation (SPAC) method, respectively. Spatial variations of
T
P
and average
V
S
are presented in maps and discussed with the distribution of soft clay. The results show that the shallow structure is rather uniform in the central area, having low
V
S
, long
T
P
, and thick soft clay.
V
S
increases, while
T
P
tends to decrease gradually towards the north and east and more sharply towards the west. Using a number of the observed site characteristics, relations among the average
V
S
at different depths and
T
P
were examined. Regression analysis revealed high correlations and almost linear relations among them, suggesting that
V
S
at deep strata could be simply estimated from the shallow
V
S
or
T
P
. Finally, a simple scheme to estimate the
V
S
profile using only the phase velocity at specific wavelengths is proposed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10064-017-1220-3</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-2097-8690</orcidid></addata></record> |
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language | eng |
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source | Springer Link |
subjects | Autocorrelation Clay Correlation analysis Data processing Earth and Environmental Science Earth Sciences Foundations Geoecology/Natural Processes Geoengineering Geological engineering Geotechnical Engineering & Applied Earth Sciences Hydraulics Methods Metropolitan areas Nature Conservation Original Paper Phase velocity Profiles Regression analysis Sediments Seismic velocities Shear wave velocities Soft clay Spatial distribution Spatial variations Velocity Wave velocity Wavelengths |
title | Seismic site characteristics of shallow sediments in the Bangkok Metropolitan Region, and their inherent relations |
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