Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium
Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas...
Gespeichert in:
Veröffentlicht in: | Mine water and the environment 2018-09, Vol.37 (3), p.470-481 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 481 |
---|---|
container_issue | 3 |
container_start_page | 470 |
container_title | Mine water and the environment |
container_volume | 37 |
creator | Ronchi, B. Stassen, F. Drevet, J.-P. Frippiat, C. C. Berger, J.-L. Dingelstadt, C. Veschkens, M. |
description | Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas in an abandoned coalfield were connected and to calculate groundwater response times to rain events by spatially and temporally correlating piezometric levels and discharge rates. Ten years of flow rate and water level data were statistically analyzed for an abandoned coalfield in Liège (Belgium). Then, the results were compared to results from physically-based simulations (a 3D groundwater flow model) based on data from the first 2 years of monitoring. The statistical approach gives qualitative indications on the interconnections between the different areas of the coalfield, as well as on the storage capacity/transmissivity of the aquifer. Improved understanding of this hydrogeological behavior can be used to prevent post-mining accidents and assess the associated risks. |
doi_str_mv | 10.1007/s10230-018-0528-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2918164477</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2015633056</sourcerecordid><originalsourceid>FETCH-LOGICAL-c259y-a4239b812aba737b38ba8365dd5b63654c0fad1e312682dda00e2554e0b7d7883</originalsourceid><addsrcrecordid>eNp9kUGOEzEQRS0EEkPgAOwsscVQZbfdzjJEzIAUxGIya8vddgePOnawuxX1JTgH9-BiOAoSK9jUL6n-f1LpE_Ia4R0CtO8LAhfAADUDyTVbnpAbVKgYgtJP6w5csjUif05elPIIgK3i8ob82KV4YHufj3Qfjp7d-xx8oZtox6WEQqdEH6LzuUw2OnqX0xzd2U4-09sxnWmIdNPVS4re0fu5K3MebO_plxAr5Rymb3RzOo2ht1NI8UKzdJvsOAQ_ukt6F379PPi39IMfD2E-viTPBjsW_-qPrsjD7cf99hPbfb37vN3sWM_lemG24WLdaeS2s61oO6E7q4WSzslOVW16GKxDL5ArzZ2zAJ5L2XjoWtdqLVbkzZV7yun77MtkHtOc69PF8DVqVE3Ttv91AUolBNSxInh19TmVkv1gTjkcbV4MgrmUY67lmFqOuZRjlprh10yp3njw-S_536HfuKiS4g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2015633056</pqid></control><display><type>article</type><title>Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium</title><source>SpringerNature Journals</source><creator>Ronchi, B. ; Stassen, F. ; Drevet, J.-P. ; Frippiat, C. C. ; Berger, J.-L. ; Dingelstadt, C. ; Veschkens, M.</creator><creatorcontrib>Ronchi, B. ; Stassen, F. ; Drevet, J.-P. ; Frippiat, C. C. ; Berger, J.-L. ; Dingelstadt, C. ; Veschkens, M.</creatorcontrib><description>Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas in an abandoned coalfield were connected and to calculate groundwater response times to rain events by spatially and temporally correlating piezometric levels and discharge rates. Ten years of flow rate and water level data were statistically analyzed for an abandoned coalfield in Liège (Belgium). Then, the results were compared to results from physically-based simulations (a 3D groundwater flow model) based on data from the first 2 years of monitoring. The statistical approach gives qualitative indications on the interconnections between the different areas of the coalfield, as well as on the storage capacity/transmissivity of the aquifer. Improved understanding of this hydrogeological behavior can be used to prevent post-mining accidents and assess the associated risks.</description><identifier>ISSN: 1025-9112</identifier><identifier>EISSN: 1616-1068</identifier><identifier>DOI: 10.1007/s10230-018-0528-y</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Abandoned mines ; Aquifers ; Coal ; Computer simulation ; Data processing ; Drainage ; Earth and Environmental Science ; Earth Sciences ; Ecotoxicology ; Exploitation ; Flooding ; Floods ; Flow rates ; Flow velocity ; Geology ; Groundwater ; Groundwater flow ; Hydraulics ; Hydrogeology ; Industrial Pollution Prevention ; Mine flooding ; Mineral Resources ; Mines ; Mining ; Mining accidents & safety ; Outbreaks ; Permeability ; Rain ; Slope stability ; Statistical analysis ; Statistical methods ; Statistics ; Storage capacity ; Storage conditions ; Technical Article ; Three dimensional flow ; Three dimensional models ; Time series ; Transmissivity ; Underground mines ; Water levels ; Water Quality/Water Pollution</subject><ispartof>Mine water and the environment, 2018-09, Vol.37 (3), p.470-481</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Mine Water and the Environment is a copyright of Springer, (2018). All Rights Reserved.</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c259y-a4239b812aba737b38ba8365dd5b63654c0fad1e312682dda00e2554e0b7d7883</citedby><cites>FETCH-LOGICAL-c259y-a4239b812aba737b38ba8365dd5b63654c0fad1e312682dda00e2554e0b7d7883</cites><orcidid>0000-0002-1226-6389</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10230-018-0528-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10230-018-0528-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Ronchi, B.</creatorcontrib><creatorcontrib>Stassen, F.</creatorcontrib><creatorcontrib>Drevet, J.-P.</creatorcontrib><creatorcontrib>Frippiat, C. C.</creatorcontrib><creatorcontrib>Berger, J.-L.</creatorcontrib><creatorcontrib>Dingelstadt, C.</creatorcontrib><creatorcontrib>Veschkens, M.</creatorcontrib><title>Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium</title><title>Mine water and the environment</title><addtitle>Mine Water Environ</addtitle><description>Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas in an abandoned coalfield were connected and to calculate groundwater response times to rain events by spatially and temporally correlating piezometric levels and discharge rates. Ten years of flow rate and water level data were statistically analyzed for an abandoned coalfield in Liège (Belgium). Then, the results were compared to results from physically-based simulations (a 3D groundwater flow model) based on data from the first 2 years of monitoring. The statistical approach gives qualitative indications on the interconnections between the different areas of the coalfield, as well as on the storage capacity/transmissivity of the aquifer. Improved understanding of this hydrogeological behavior can be used to prevent post-mining accidents and assess the associated risks.</description><subject>Abandoned mines</subject><subject>Aquifers</subject><subject>Coal</subject><subject>Computer simulation</subject><subject>Data processing</subject><subject>Drainage</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecotoxicology</subject><subject>Exploitation</subject><subject>Flooding</subject><subject>Floods</subject><subject>Flow rates</subject><subject>Flow velocity</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Groundwater flow</subject><subject>Hydraulics</subject><subject>Hydrogeology</subject><subject>Industrial Pollution Prevention</subject><subject>Mine flooding</subject><subject>Mineral Resources</subject><subject>Mines</subject><subject>Mining</subject><subject>Mining accidents & safety</subject><subject>Outbreaks</subject><subject>Permeability</subject><subject>Rain</subject><subject>Slope stability</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Storage capacity</subject><subject>Storage conditions</subject><subject>Technical Article</subject><subject>Three dimensional flow</subject><subject>Three dimensional models</subject><subject>Time series</subject><subject>Transmissivity</subject><subject>Underground mines</subject><subject>Water levels</subject><subject>Water Quality/Water Pollution</subject><issn>1025-9112</issn><issn>1616-1068</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUGOEzEQRS0EEkPgAOwsscVQZbfdzjJEzIAUxGIya8vddgePOnawuxX1JTgH9-BiOAoSK9jUL6n-f1LpE_Ia4R0CtO8LAhfAADUDyTVbnpAbVKgYgtJP6w5csjUif05elPIIgK3i8ob82KV4YHufj3Qfjp7d-xx8oZtox6WEQqdEH6LzuUw2OnqX0xzd2U4-09sxnWmIdNPVS4re0fu5K3MebO_plxAr5Rymb3RzOo2ht1NI8UKzdJvsOAQ_ukt6F379PPi39IMfD2E-viTPBjsW_-qPrsjD7cf99hPbfb37vN3sWM_lemG24WLdaeS2s61oO6E7q4WSzslOVW16GKxDL5ArzZ2zAJ5L2XjoWtdqLVbkzZV7yun77MtkHtOc69PF8DVqVE3Ttv91AUolBNSxInh19TmVkv1gTjkcbV4MgrmUY67lmFqOuZRjlprh10yp3njw-S_536HfuKiS4g</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Ronchi, B.</creator><creator>Stassen, F.</creator><creator>Drevet, J.-P.</creator><creator>Frippiat, C. C.</creator><creator>Berger, J.-L.</creator><creator>Dingelstadt, C.</creator><creator>Veschkens, M.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8C1</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-1226-6389</orcidid></search><sort><creationdate>20180901</creationdate><title>Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium</title><author>Ronchi, B. ; Stassen, F. ; Drevet, J.-P. ; Frippiat, C. C. ; Berger, J.-L. ; Dingelstadt, C. ; Veschkens, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c259y-a4239b812aba737b38ba8365dd5b63654c0fad1e312682dda00e2554e0b7d7883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Abandoned mines</topic><topic>Aquifers</topic><topic>Coal</topic><topic>Computer simulation</topic><topic>Data processing</topic><topic>Drainage</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecotoxicology</topic><topic>Exploitation</topic><topic>Flooding</topic><topic>Floods</topic><topic>Flow rates</topic><topic>Flow velocity</topic><topic>Geology</topic><topic>Groundwater</topic><topic>Groundwater flow</topic><topic>Hydraulics</topic><topic>Hydrogeology</topic><topic>Industrial Pollution Prevention</topic><topic>Mine flooding</topic><topic>Mineral Resources</topic><topic>Mines</topic><topic>Mining</topic><topic>Mining accidents & safety</topic><topic>Outbreaks</topic><topic>Permeability</topic><topic>Rain</topic><topic>Slope stability</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Storage capacity</topic><topic>Storage conditions</topic><topic>Technical Article</topic><topic>Three dimensional flow</topic><topic>Three dimensional models</topic><topic>Time series</topic><topic>Transmissivity</topic><topic>Underground mines</topic><topic>Water levels</topic><topic>Water Quality/Water Pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ronchi, B.</creatorcontrib><creatorcontrib>Stassen, F.</creatorcontrib><creatorcontrib>Drevet, J.-P.</creatorcontrib><creatorcontrib>Frippiat, C. C.</creatorcontrib><creatorcontrib>Berger, J.-L.</creatorcontrib><creatorcontrib>Dingelstadt, C.</creatorcontrib><creatorcontrib>Veschkens, M.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science 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>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Mine water and the environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ronchi, B.</au><au>Stassen, F.</au><au>Drevet, J.-P.</au><au>Frippiat, C. C.</au><au>Berger, J.-L.</au><au>Dingelstadt, C.</au><au>Veschkens, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium</atitle><jtitle>Mine water and the environment</jtitle><stitle>Mine Water Environ</stitle><date>2018-09-01</date><risdate>2018</risdate><volume>37</volume><issue>3</issue><spage>470</spage><epage>481</epage><pages>470-481</pages><issn>1025-9112</issn><eissn>1616-1068</eissn><abstract>Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas in an abandoned coalfield were connected and to calculate groundwater response times to rain events by spatially and temporally correlating piezometric levels and discharge rates. Ten years of flow rate and water level data were statistically analyzed for an abandoned coalfield in Liège (Belgium). Then, the results were compared to results from physically-based simulations (a 3D groundwater flow model) based on data from the first 2 years of monitoring. The statistical approach gives qualitative indications on the interconnections between the different areas of the coalfield, as well as on the storage capacity/transmissivity of the aquifer. Improved understanding of this hydrogeological behavior can be used to prevent post-mining accidents and assess the associated risks.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10230-018-0528-y</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1226-6389</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1025-9112 |
ispartof | Mine water and the environment, 2018-09, Vol.37 (3), p.470-481 |
issn | 1025-9112 1616-1068 |
language | eng |
recordid | cdi_proquest_journals_2918164477 |
source | SpringerNature Journals |
subjects | Abandoned mines Aquifers Coal Computer simulation Data processing Drainage Earth and Environmental Science Earth Sciences Ecotoxicology Exploitation Flooding Floods Flow rates Flow velocity Geology Groundwater Groundwater flow Hydraulics Hydrogeology Industrial Pollution Prevention Mine flooding Mineral Resources Mines Mining Mining accidents & safety Outbreaks Permeability Rain Slope stability Statistical analysis Statistical methods Statistics Storage capacity Storage conditions Technical Article Three dimensional flow Three dimensional models Time series Transmissivity Underground mines Water levels Water Quality/Water Pollution |
title | Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T08%3A53%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Long-Term%20Time-Series%20Analysis%20to%20Understand%20Groundwater%20Flow%20in%20Abandoned%20Subsurface%20Mines%20with%20Application%20to%20a%20Coalfield%20in%20Li%C3%A8ge,%20Belgium&rft.jtitle=Mine%20water%20and%20the%20environment&rft.au=Ronchi,%20B.&rft.date=2018-09-01&rft.volume=37&rft.issue=3&rft.spage=470&rft.epage=481&rft.pages=470-481&rft.issn=1025-9112&rft.eissn=1616-1068&rft_id=info:doi/10.1007/s10230-018-0528-y&rft_dat=%3Cproquest_cross%3E2015633056%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2015633056&rft_id=info:pmid/&rfr_iscdi=true |