Seasonal variation of infiltration rates through pond bed in a managed aquifer recharge system in St‐André, Belgium
In Belgium, IWVA uses managed aquifer recharge (MAR) to recharge the aquifer with treated wastewater generated from the communities to sustain the potable water supply on the Belgian coast. This MAR facility is faced with a challenge of reduced infiltration rates during the winter season when pond w...
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description | In Belgium, IWVA uses managed aquifer recharge (MAR) to recharge the aquifer with treated wastewater generated from the communities to sustain the potable water supply on the Belgian coast. This MAR facility is faced with a challenge of reduced infiltration rates during the winter season when pond water temperatures near 4°C. This study involves the identification of the predominant factor influencing the rate of infiltration through the pond bed. Several factors, including pumping rates, natural recharge, tidal influences of the North Sea and pond‐water temperature, were identified as potential causes for variation of the recharge rate. Correlation statistics and linear regression analysis were used to determine the sensitivity of the infiltration rate to the aforementioned factors. Two groundwater flow models were developed in visual MODFLOW to simulate the water movement under the pond bed and to obtain the differences in flux to track the effects of variation of hydraulic conductivity during the two seasons. A 32% reduction in vertical hydraulic gradient in the top portion of the aquifer was observed in winter, causing the recharge rates to fluctuate. Results showed that water temperature caused a 30% increase in hydraulic conductivity in summer as compared with winter and has the maximum impact on infiltration rate. Cyclic variations in water viscosity, occurring because of seasonal temperature changes, influence the saturated hydraulic conductivity of the pond bed. Results from the models confirm the impact on infiltration rate by temperature‐influenced hydraulic conductivity.
Temperature and infiltration rates have been found to be very well correlated when it comes to MAR. This study in St‐André, Belgium revealed that temperature variations could cause a massive 30% increase in hydraulic conductivity in summer than that in the winter. Also, 32% reduction in vertical hydraulic gradient was observed in the top portion of the aquifer, which directly influenced the recharge rates in the MAR facility. |
doi_str_mv | 10.1002/hyp.13827 |
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Temperature and infiltration rates have been found to be very well correlated when it comes to MAR. This study in St‐André, Belgium revealed that temperature variations could cause a massive 30% increase in hydraulic conductivity in summer than that in the winter. Also, 32% reduction in vertical hydraulic gradient was observed in the top portion of the aquifer, which directly influenced the recharge rates in the MAR facility.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.13827</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Aquifer management ; Aquifer recharge ; Aquifer systems ; Aquifers ; ASR ; Computer simulation ; Correlation analysis ; Drinking water ; genetic programming ; Groundwater ; Groundwater flow ; groundwater flow modelling ; Groundwater flow models ; groundwater hydrology ; Groundwater recharge ; Hydraulic conductivity ; Hydraulic gradient ; Hydraulics ; Infiltration ; infiltration pond model ; Infiltration rate ; IWVA ; Natural recharge ; Ponds ; Pumping rates ; Regression analysis ; seasonal recharge ; Seasonal variation ; Seasonal variations ; Seasons ; Statistical analysis ; Statistical methods ; Temperature changes ; temperature–infiltration rate relationship ; Viscosity ; Wastewater ; Wastewater treatment ; Water supply ; Water temperature ; Winter</subject><ispartof>Hydrological processes, 2020-08, Vol.34 (18), p.3807-3823</ispartof><rights>2020 John Wiley & Sons Ltd</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a2357-ed6b5f429f79cf307adf04d29b03e1a2bb35618e3c4eb742990d6f535d0350863</citedby><cites>FETCH-LOGICAL-a2357-ed6b5f429f79cf307adf04d29b03e1a2bb35618e3c4eb742990d6f535d0350863</cites><orcidid>0000-0001-8533-527X ; 0000-0003-2623-7359</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.13827$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.13827$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Samanta, Sayantan</creatorcontrib><creatorcontrib>Sheng, Zhuping</creatorcontrib><creatorcontrib>Munster, Clyde L.</creatorcontrib><creatorcontrib>Van Houtte, Emmanuel</creatorcontrib><title>Seasonal variation of infiltration rates through pond bed in a managed aquifer recharge system in St‐André, Belgium</title><title>Hydrological processes</title><description>In Belgium, IWVA uses managed aquifer recharge (MAR) to recharge the aquifer with treated wastewater generated from the communities to sustain the potable water supply on the Belgian coast. This MAR facility is faced with a challenge of reduced infiltration rates during the winter season when pond water temperatures near 4°C. This study involves the identification of the predominant factor influencing the rate of infiltration through the pond bed. Several factors, including pumping rates, natural recharge, tidal influences of the North Sea and pond‐water temperature, were identified as potential causes for variation of the recharge rate. Correlation statistics and linear regression analysis were used to determine the sensitivity of the infiltration rate to the aforementioned factors. Two groundwater flow models were developed in visual MODFLOW to simulate the water movement under the pond bed and to obtain the differences in flux to track the effects of variation of hydraulic conductivity during the two seasons. A 32% reduction in vertical hydraulic gradient in the top portion of the aquifer was observed in winter, causing the recharge rates to fluctuate. Results showed that water temperature caused a 30% increase in hydraulic conductivity in summer as compared with winter and has the maximum impact on infiltration rate. Cyclic variations in water viscosity, occurring because of seasonal temperature changes, influence the saturated hydraulic conductivity of the pond bed. Results from the models confirm the impact on infiltration rate by temperature‐influenced hydraulic conductivity.
Temperature and infiltration rates have been found to be very well correlated when it comes to MAR. This study in St‐André, Belgium revealed that temperature variations could cause a massive 30% increase in hydraulic conductivity in summer than that in the winter. Also, 32% reduction in vertical hydraulic gradient was observed in the top portion of the aquifer, which directly influenced the recharge rates in the MAR facility.</description><subject>Aquifer management</subject><subject>Aquifer recharge</subject><subject>Aquifer systems</subject><subject>Aquifers</subject><subject>ASR</subject><subject>Computer simulation</subject><subject>Correlation analysis</subject><subject>Drinking water</subject><subject>genetic programming</subject><subject>Groundwater</subject><subject>Groundwater flow</subject><subject>groundwater flow modelling</subject><subject>Groundwater flow models</subject><subject>groundwater hydrology</subject><subject>Groundwater recharge</subject><subject>Hydraulic conductivity</subject><subject>Hydraulic gradient</subject><subject>Hydraulics</subject><subject>Infiltration</subject><subject>infiltration pond model</subject><subject>Infiltration rate</subject><subject>IWVA</subject><subject>Natural recharge</subject><subject>Ponds</subject><subject>Pumping rates</subject><subject>Regression analysis</subject><subject>seasonal recharge</subject><subject>Seasonal variation</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Temperature changes</subject><subject>temperature–infiltration rate relationship</subject><subject>Viscosity</subject><subject>Wastewater</subject><subject>Wastewater treatment</subject><subject>Water supply</subject><subject>Water temperature</subject><subject>Winter</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10E1KxDAUB_AgCo6jC28QcCXYmZemH-lyFHWEAYXRhauStkmboV-TtCPdeQSv4Tm8iScxY926evzh9x68P0LnBGYEwJ0XQzsjlLnhAZoQiCKHAPMP0QQY850AWHiMTozZAIAHDCZotxbcNDUv8Y5rxTvV1LiRWNVSlZ0esx3C4K7QTZ8XuG3qDCciswZzXPGa5zbwba-k0FiLtOA6F9gMphPVHq277_ePRZ3pr88rfC3KXPXVKTqSvDTi7G9O0cvd7fPN0lk93j_cLFYOd6kfOiILEl96biTDKJUUQp5J8DI3SoAKwt0koX5AmKCpJ5LQugiyQPrUz4D6wAI6RRfj3VY3216YLt40vbbvmtj1qEsJCwJq1eWoUt0Yo4WMW60qroeYQLyvNba1xr-1Wjsf7ZsqxfA_jJevT-PGD-CNe8o</recordid><startdate>20200830</startdate><enddate>20200830</enddate><creator>Samanta, Sayantan</creator><creator>Sheng, Zhuping</creator><creator>Munster, Clyde L.</creator><creator>Van Houtte, Emmanuel</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-8533-527X</orcidid><orcidid>https://orcid.org/0000-0003-2623-7359</orcidid></search><sort><creationdate>20200830</creationdate><title>Seasonal variation of infiltration rates through pond bed in a managed aquifer recharge system in St‐André, Belgium</title><author>Samanta, Sayantan ; Sheng, Zhuping ; Munster, Clyde L. ; Van Houtte, Emmanuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2357-ed6b5f429f79cf307adf04d29b03e1a2bb35618e3c4eb742990d6f535d0350863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquifer management</topic><topic>Aquifer recharge</topic><topic>Aquifer systems</topic><topic>Aquifers</topic><topic>ASR</topic><topic>Computer simulation</topic><topic>Correlation analysis</topic><topic>Drinking water</topic><topic>genetic programming</topic><topic>Groundwater</topic><topic>Groundwater flow</topic><topic>groundwater flow modelling</topic><topic>Groundwater flow models</topic><topic>groundwater hydrology</topic><topic>Groundwater recharge</topic><topic>Hydraulic conductivity</topic><topic>Hydraulic gradient</topic><topic>Hydraulics</topic><topic>Infiltration</topic><topic>infiltration pond model</topic><topic>Infiltration rate</topic><topic>IWVA</topic><topic>Natural recharge</topic><topic>Ponds</topic><topic>Pumping rates</topic><topic>Regression analysis</topic><topic>seasonal recharge</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Temperature changes</topic><topic>temperature–infiltration rate relationship</topic><topic>Viscosity</topic><topic>Wastewater</topic><topic>Wastewater treatment</topic><topic>Water supply</topic><topic>Water temperature</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Samanta, Sayantan</creatorcontrib><creatorcontrib>Sheng, Zhuping</creatorcontrib><creatorcontrib>Munster, Clyde L.</creatorcontrib><creatorcontrib>Van Houtte, Emmanuel</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</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>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>Environment Abstracts</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Samanta, Sayantan</au><au>Sheng, Zhuping</au><au>Munster, Clyde L.</au><au>Van Houtte, Emmanuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal variation of infiltration rates through pond bed in a managed aquifer recharge system in St‐André, Belgium</atitle><jtitle>Hydrological processes</jtitle><date>2020-08-30</date><risdate>2020</risdate><volume>34</volume><issue>18</issue><spage>3807</spage><epage>3823</epage><pages>3807-3823</pages><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>In Belgium, IWVA uses managed aquifer recharge (MAR) to recharge the aquifer with treated wastewater generated from the communities to sustain the potable water supply on the Belgian coast. This MAR facility is faced with a challenge of reduced infiltration rates during the winter season when pond water temperatures near 4°C. This study involves the identification of the predominant factor influencing the rate of infiltration through the pond bed. Several factors, including pumping rates, natural recharge, tidal influences of the North Sea and pond‐water temperature, were identified as potential causes for variation of the recharge rate. Correlation statistics and linear regression analysis were used to determine the sensitivity of the infiltration rate to the aforementioned factors. Two groundwater flow models were developed in visual MODFLOW to simulate the water movement under the pond bed and to obtain the differences in flux to track the effects of variation of hydraulic conductivity during the two seasons. A 32% reduction in vertical hydraulic gradient in the top portion of the aquifer was observed in winter, causing the recharge rates to fluctuate. Results showed that water temperature caused a 30% increase in hydraulic conductivity in summer as compared with winter and has the maximum impact on infiltration rate. Cyclic variations in water viscosity, occurring because of seasonal temperature changes, influence the saturated hydraulic conductivity of the pond bed. Results from the models confirm the impact on infiltration rate by temperature‐influenced hydraulic conductivity.
Temperature and infiltration rates have been found to be very well correlated when it comes to MAR. This study in St‐André, Belgium revealed that temperature variations could cause a massive 30% increase in hydraulic conductivity in summer than that in the winter. Also, 32% reduction in vertical hydraulic gradient was observed in the top portion of the aquifer, which directly influenced the recharge rates in the MAR facility.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/hyp.13827</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-8533-527X</orcidid><orcidid>https://orcid.org/0000-0003-2623-7359</orcidid></addata></record> |
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subjects | Aquifer management Aquifer recharge Aquifer systems Aquifers ASR Computer simulation Correlation analysis Drinking water genetic programming Groundwater Groundwater flow groundwater flow modelling Groundwater flow models groundwater hydrology Groundwater recharge Hydraulic conductivity Hydraulic gradient Hydraulics Infiltration infiltration pond model Infiltration rate IWVA Natural recharge Ponds Pumping rates Regression analysis seasonal recharge Seasonal variation Seasonal variations Seasons Statistical analysis Statistical methods Temperature changes temperature–infiltration rate relationship Viscosity Wastewater Wastewater treatment Water supply Water temperature Winter |
title | Seasonal variation of infiltration rates through pond bed in a managed aquifer recharge system in St‐André, Belgium |
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