Disentangling and Parameterizing Shallow Sources of Subsidence: Application to a Reclaimed Coastal Area, Flevoland, the Netherlands
The natural surface area of many coastal and delta plains has been increased by land reclamation in response to growing populations. These reclaimed lands are often experiencing subsidence. The reclaimed South Flevopolder in the coastal plain of the Netherlands has experienced severe subsidence afte...
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Veröffentlicht in: | Journal of geophysical research. Earth surface 2019-05, Vol.124 (5), p.1099-1117 |
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creator | Fokker, Peter A. Gunnink, Jan L. Koster, Kay Lange, Ger |
description | The natural surface area of many coastal and delta plains has been increased by land reclamation in response to growing populations. These reclaimed lands are often experiencing subsidence. The reclaimed South Flevopolder in the coastal plain of the Netherlands has experienced severe subsidence after its reclamation in 1968. The subsidence is caused by phreatic groundwater level lowering and the associated aeration of the former subaqueous shallow subsurface and increased effective stresses. In this study, surface elevation measurements that quantify the subsidence, conducted annually between 1968 and 1993, and in 2009 and 2012, have been used to constrain and estimate the parameters in models that describe subsidence. For the estimation an Ensemble Smoother with Multiple Data Assimilation was employed. For the forward models, we employed correlations for compression (primary consolidation and creep), oxidation, and shrinkage of coastal deposits. Shrinkage of the aerated clay and organic clay layers was found to be the main contributor to subsidence, and the measurements could be represented well. The quantification of the model parameters allows for better subsidence forecasts. The stochastic method that was employed further facilitates to define a quality measure for forecasts in terms of a covariance matrix or a confidence range.
Key Points
Annual subsidence measurements were used for compression parameter estimation
An Ensemble Smoother with Multiple Data Assimilation was employed
Shrinkage of clay and organic clay was found the main contributor to compression |
doi_str_mv | 10.1029/2018JF004975 |
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Key Points
Annual subsidence measurements were used for compression parameter estimation
An Ensemble Smoother with Multiple Data Assimilation was employed
Shrinkage of clay and organic clay was found the main contributor to compression</description><identifier>ISSN: 2169-9003</identifier><identifier>EISSN: 2169-9011</identifier><identifier>DOI: 10.1029/2018JF004975</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Aeration ; Clay ; Coastal plains ; Coastal zone ; compaction ; Compression ; Confidence ; Covariance matrix ; Data assimilation ; Data collection ; Elevation ; Groundwater ; Groundwater levels ; Land reclamation ; Mathematical models ; Oxidation ; Parameter estimation ; Parameters ; peat oxidation ; Plains ; Shrinkage ; Solifluction ; Stochastic methods ; Subsidence</subject><ispartof>Journal of geophysical research. Earth surface, 2019-05, Vol.124 (5), p.1099-1117</ispartof><rights>2019. The Authors.</rights><rights>2019. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4116-8dd4efebec22985a0ac6b251878e4ca8fcd3afc960f8d9cc7de93ffa0278e8fc3</citedby><cites>FETCH-LOGICAL-a4116-8dd4efebec22985a0ac6b251878e4ca8fcd3afc960f8d9cc7de93ffa0278e8fc3</cites><orcidid>0000-0001-9366-1497 ; 0000-0003-4628-8102</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2018JF004975$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2018JF004975$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids></links><search><creatorcontrib>Fokker, Peter A.</creatorcontrib><creatorcontrib>Gunnink, Jan L.</creatorcontrib><creatorcontrib>Koster, Kay</creatorcontrib><creatorcontrib>Lange, Ger</creatorcontrib><title>Disentangling and Parameterizing Shallow Sources of Subsidence: Application to a Reclaimed Coastal Area, Flevoland, the Netherlands</title><title>Journal of geophysical research. Earth surface</title><description>The natural surface area of many coastal and delta plains has been increased by land reclamation in response to growing populations. These reclaimed lands are often experiencing subsidence. The reclaimed South Flevopolder in the coastal plain of the Netherlands has experienced severe subsidence after its reclamation in 1968. The subsidence is caused by phreatic groundwater level lowering and the associated aeration of the former subaqueous shallow subsurface and increased effective stresses. In this study, surface elevation measurements that quantify the subsidence, conducted annually between 1968 and 1993, and in 2009 and 2012, have been used to constrain and estimate the parameters in models that describe subsidence. For the estimation an Ensemble Smoother with Multiple Data Assimilation was employed. For the forward models, we employed correlations for compression (primary consolidation and creep), oxidation, and shrinkage of coastal deposits. Shrinkage of the aerated clay and organic clay layers was found to be the main contributor to subsidence, and the measurements could be represented well. The quantification of the model parameters allows for better subsidence forecasts. The stochastic method that was employed further facilitates to define a quality measure for forecasts in terms of a covariance matrix or a confidence range.
Key Points
Annual subsidence measurements were used for compression parameter estimation
An Ensemble Smoother with Multiple Data Assimilation was employed
Shrinkage of clay and organic clay was found the main contributor to compression</description><subject>Aeration</subject><subject>Clay</subject><subject>Coastal plains</subject><subject>Coastal zone</subject><subject>compaction</subject><subject>Compression</subject><subject>Confidence</subject><subject>Covariance matrix</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Elevation</subject><subject>Groundwater</subject><subject>Groundwater levels</subject><subject>Land reclamation</subject><subject>Mathematical models</subject><subject>Oxidation</subject><subject>Parameter estimation</subject><subject>Parameters</subject><subject>peat oxidation</subject><subject>Plains</subject><subject>Shrinkage</subject><subject>Solifluction</subject><subject>Stochastic methods</subject><subject>Subsidence</subject><issn>2169-9003</issn><issn>2169-9011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kE1PAjEQhjdGEwly8wc08cpq2_32RtBFCVEDet4M3SmUlC22iwSv_nFLMMaTc5iPd57MZCYILhm9ZpQXN5yyfFxSGhdZchJ0OEuLsKCMnf7mNDoPes6tqLfcS4x3gq875bBpoVlo1SwINDV5AQtrbNGqz4M0W4LWZkdmZmsFOmIkmW3nTtXYCLwlg81GKwGtMg1pDQEyRaFBrbEmQwOuBU0GFqFPSo0fRvsFfdIukTyh9_ZQu4vgTIJ22PuJ3eCtvH8dPoST59HjcDAJIWYsDfO6jlHiHAXnRZ4ABZHOecLyLMdYQC5FHYEURUplXhdCZDUWkZRAuQd8N-oGV8e5G2vet-jaauVvavzKivM4idOMstRT_SMlrHHOoqw2Vq3B7itGq8Onq7-f9nh0xHdK4_5fthqPpiX3chp9A_RogWc</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Fokker, Peter A.</creator><creator>Gunnink, Jan L.</creator><creator>Koster, Kay</creator><creator>Lange, Ger</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-9366-1497</orcidid><orcidid>https://orcid.org/0000-0003-4628-8102</orcidid></search><sort><creationdate>201905</creationdate><title>Disentangling and Parameterizing Shallow Sources of Subsidence: Application to a Reclaimed Coastal Area, Flevoland, the Netherlands</title><author>Fokker, Peter A. ; Gunnink, Jan L. ; Koster, Kay ; Lange, Ger</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4116-8dd4efebec22985a0ac6b251878e4ca8fcd3afc960f8d9cc7de93ffa0278e8fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aeration</topic><topic>Clay</topic><topic>Coastal plains</topic><topic>Coastal zone</topic><topic>compaction</topic><topic>Compression</topic><topic>Confidence</topic><topic>Covariance matrix</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Elevation</topic><topic>Groundwater</topic><topic>Groundwater levels</topic><topic>Land reclamation</topic><topic>Mathematical models</topic><topic>Oxidation</topic><topic>Parameter estimation</topic><topic>Parameters</topic><topic>peat oxidation</topic><topic>Plains</topic><topic>Shrinkage</topic><topic>Solifluction</topic><topic>Stochastic methods</topic><topic>Subsidence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fokker, Peter A.</creatorcontrib><creatorcontrib>Gunnink, Jan L.</creatorcontrib><creatorcontrib>Koster, Kay</creatorcontrib><creatorcontrib>Lange, Ger</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Journal of geophysical research. Earth surface</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fokker, Peter A.</au><au>Gunnink, Jan L.</au><au>Koster, Kay</au><au>Lange, Ger</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disentangling and Parameterizing Shallow Sources of Subsidence: Application to a Reclaimed Coastal Area, Flevoland, the Netherlands</atitle><jtitle>Journal of geophysical research. Earth surface</jtitle><date>2019-05</date><risdate>2019</risdate><volume>124</volume><issue>5</issue><spage>1099</spage><epage>1117</epage><pages>1099-1117</pages><issn>2169-9003</issn><eissn>2169-9011</eissn><abstract>The natural surface area of many coastal and delta plains has been increased by land reclamation in response to growing populations. These reclaimed lands are often experiencing subsidence. The reclaimed South Flevopolder in the coastal plain of the Netherlands has experienced severe subsidence after its reclamation in 1968. The subsidence is caused by phreatic groundwater level lowering and the associated aeration of the former subaqueous shallow subsurface and increased effective stresses. In this study, surface elevation measurements that quantify the subsidence, conducted annually between 1968 and 1993, and in 2009 and 2012, have been used to constrain and estimate the parameters in models that describe subsidence. For the estimation an Ensemble Smoother with Multiple Data Assimilation was employed. For the forward models, we employed correlations for compression (primary consolidation and creep), oxidation, and shrinkage of coastal deposits. Shrinkage of the aerated clay and organic clay layers was found to be the main contributor to subsidence, and the measurements could be represented well. The quantification of the model parameters allows for better subsidence forecasts. The stochastic method that was employed further facilitates to define a quality measure for forecasts in terms of a covariance matrix or a confidence range.
Key Points
Annual subsidence measurements were used for compression parameter estimation
An Ensemble Smoother with Multiple Data Assimilation was employed
Shrinkage of clay and organic clay was found the main contributor to compression</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2018JF004975</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0001-9366-1497</orcidid><orcidid>https://orcid.org/0000-0003-4628-8102</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aeration Clay Coastal plains Coastal zone compaction Compression Confidence Covariance matrix Data assimilation Data collection Elevation Groundwater Groundwater levels Land reclamation Mathematical models Oxidation Parameter estimation Parameters peat oxidation Plains Shrinkage Solifluction Stochastic methods Subsidence |
title | Disentangling and Parameterizing Shallow Sources of Subsidence: Application to a Reclaimed Coastal Area, Flevoland, the Netherlands |
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