Modelling Seasonal Variability in Parameters Defining Volumetric Water Content in a Low Permeability Soil in Central Illinois: An Application of MODFLOW‐6 and the Unsaturated Zone Flow Package

ABSTRACT Increasing interest in solute transport phenomena in agricultural systems on a sub‐annual basis necessitates a better understanding of seasonal changes in natural systems and how these changes can be incorporated into modelling. A better understanding of the seasonal timing of nutrient load...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Hydrological processes 2024-11, Vol.38 (11), p.n/a
Hauptverfasser: Krasowski, Michael P., Gulsen, Esra, Jones, Allan E., Abrams, Daniel B.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue 11
container_start_page
container_title Hydrological processes
container_volume 38
creator Krasowski, Michael P.
Gulsen, Esra
Jones, Allan E.
Abrams, Daniel B.
description ABSTRACT Increasing interest in solute transport phenomena in agricultural systems on a sub‐annual basis necessitates a better understanding of seasonal changes in natural systems and how these changes can be incorporated into modelling. A better understanding of the seasonal timing of nutrient loading in tile drained agricultural systems in particular is essential for efforts trying to replicate or predict the occurrence of harmful algal blooms. Literature exists showing there are seasonal dynamics (freeze–thaw, plant‐root processes, land management practices, etc.) that may cause changes in the hydraulic properties of the soil zone including hydraulic conductivity and porosity. To test whether these changes are important in an agricultural system, a MODFLOW‐6 model using the unsaturated zone flow package was constructed. The simulation was comprised of separate, seasonal models to be run sequentially with each year being broken into a winter and summer seasons. As part of this architecture, model parameters representing soil hydraulic properties were allowed to vary by season. The model was calibrated against soil moisture observations at multiple depths using a genetic algorithm machine learning technique. The parameters of the sub‐models were compared for the winter and summer seasons. Brook‐Corey epsilon, saturated vertical conductivity, saturated volumetric water content and residual volumetric water content were found to be consistently different between the modelled summer and winter periods. A more traditional model which did not allow hydraulic properties to vary seasonally was also run and compared to the seasonal architecture and the seasonal architecture was found to improve simulation results. The hydrologic dynamics of the unsaturated zone—particularly in tile drained agricultural systems—control the residence time for water and solutes, which is critical for in‐field chemical processes such as denitrification. This work has important implications for seasonal transport phenomena in agricultural systems and improving the simulation and prediction of harmful algal blooms. Conceptual diagram of the geologic context of the SoilVUE 10 soil moisture sensor in (a) winter with high soil moisture and interstitial ice and (b) summer with low soil moisture, crack formation and root disruption. Note: not drawn to scale.
doi_str_mv 10.1002/hyp.70007
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3133009364</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3133009364</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1737-e0e2f59c62daf90b3c24faca589ac5b57ea7d98f8728606db04e4c49412ea73a3</originalsourceid><addsrcrecordid>eNp1kU1OG0EQhUdRkOJAFtygpKyyGKj578nOMnFAMrIlAihsRuWeGmjS7h66x0Le5Qg5U46Sk6QnhmVWJdX76j2pXhQdJ3iSIKanD7v-pELE6k00SbCu4wRF8TaaoBBFXKKo3kXvvX8MRI4CJ9HvS9uy1srcwxWTt4Y03JBTtFZaDTtQBlbkaMMDOw9n3CkzsjdWb8POKQm3FCSYWTOwGUaeYGGfYcVuw68uV1bpUZoFxIWEizHRKv8Zpgamfa-VpEFZA7aDy-XZfLG8_fPzVwlkWhgeGK6Np2HrQlILd9YwzPUYQfIH3fNRdNCR9vzhZR5G1_Mv32bn8WL59WI2XcQyqbIqZuS0K2pZpi11Na4zmeYdSSpETbJYFxVT1daiE1UqSizbNeacy7zOkzQoGWWH0ce9b-_s05b90DzarQsP802WZBlinZV5oD7tKems9467pndqQ27XJNiMFTWhouZfRYE93bPPSvPu_2Bz_n21v_gLdwSWVQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3133009364</pqid></control><display><type>article</type><title>Modelling Seasonal Variability in Parameters Defining Volumetric Water Content in a Low Permeability Soil in Central Illinois: An Application of MODFLOW‐6 and the Unsaturated Zone Flow Package</title><source>Access via Wiley Online Library</source><creator>Krasowski, Michael P. ; Gulsen, Esra ; Jones, Allan E. ; Abrams, Daniel B.</creator><creatorcontrib>Krasowski, Michael P. ; Gulsen, Esra ; Jones, Allan E. ; Abrams, Daniel B.</creatorcontrib><description>ABSTRACT Increasing interest in solute transport phenomena in agricultural systems on a sub‐annual basis necessitates a better understanding of seasonal changes in natural systems and how these changes can be incorporated into modelling. A better understanding of the seasonal timing of nutrient loading in tile drained agricultural systems in particular is essential for efforts trying to replicate or predict the occurrence of harmful algal blooms. Literature exists showing there are seasonal dynamics (freeze–thaw, plant‐root processes, land management practices, etc.) that may cause changes in the hydraulic properties of the soil zone including hydraulic conductivity and porosity. To test whether these changes are important in an agricultural system, a MODFLOW‐6 model using the unsaturated zone flow package was constructed. The simulation was comprised of separate, seasonal models to be run sequentially with each year being broken into a winter and summer seasons. As part of this architecture, model parameters representing soil hydraulic properties were allowed to vary by season. The model was calibrated against soil moisture observations at multiple depths using a genetic algorithm machine learning technique. The parameters of the sub‐models were compared for the winter and summer seasons. Brook‐Corey epsilon, saturated vertical conductivity, saturated volumetric water content and residual volumetric water content were found to be consistently different between the modelled summer and winter periods. A more traditional model which did not allow hydraulic properties to vary seasonally was also run and compared to the seasonal architecture and the seasonal architecture was found to improve simulation results. The hydrologic dynamics of the unsaturated zone—particularly in tile drained agricultural systems—control the residence time for water and solutes, which is critical for in‐field chemical processes such as denitrification. This work has important implications for seasonal transport phenomena in agricultural systems and improving the simulation and prediction of harmful algal blooms. Conceptual diagram of the geologic context of the SoilVUE 10 soil moisture sensor in (a) winter with high soil moisture and interstitial ice and (b) summer with low soil moisture, crack formation and root disruption. Note: not drawn to scale.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.70007</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley &amp; Sons, Inc</publisher><subject>Aeration zone ; Agriculture ; Algae ; Algal blooms ; calibration ; Chemical reactions ; Denitrification ; Eutrophication ; Farming systems ; Freeze-thaw ; Genetic algorithms ; Hydraulic conductivity ; Hydraulic properties ; Hydraulics ; Land management ; Machine learning ; Modelling ; MODFLOW ; Moisture content ; Nutrient loading ; Observational learning ; Parameters ; Permeability ; Porosity ; Residence time ; Seasonal variability ; Seasonal variation ; Seasonal variations ; Seasons ; Simulation ; Soil ; Soil moisture ; Soil permeability ; Soil porosity ; Soil properties ; Soil testing ; Soil water ; Solute transport ; Solutes ; Summer ; tile drains ; Transport phenomena ; uncertainty ; Unsaturated flow ; Unsaturated soils ; unsaturated zone ; volumetric water content ; water budget ; Water content ; Water quality ; Winter</subject><ispartof>Hydrological processes, 2024-11, Vol.38 (11), p.n/a</ispartof><rights>2024 The Author(s). published by John Wiley &amp; Sons Ltd.</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1737-e0e2f59c62daf90b3c24faca589ac5b57ea7d98f8728606db04e4c49412ea73a3</cites><orcidid>0009-0000-4459-2712</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.70007$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.70007$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Krasowski, Michael P.</creatorcontrib><creatorcontrib>Gulsen, Esra</creatorcontrib><creatorcontrib>Jones, Allan E.</creatorcontrib><creatorcontrib>Abrams, Daniel B.</creatorcontrib><title>Modelling Seasonal Variability in Parameters Defining Volumetric Water Content in a Low Permeability Soil in Central Illinois: An Application of MODFLOW‐6 and the Unsaturated Zone Flow Package</title><title>Hydrological processes</title><description>ABSTRACT Increasing interest in solute transport phenomena in agricultural systems on a sub‐annual basis necessitates a better understanding of seasonal changes in natural systems and how these changes can be incorporated into modelling. A better understanding of the seasonal timing of nutrient loading in tile drained agricultural systems in particular is essential for efforts trying to replicate or predict the occurrence of harmful algal blooms. Literature exists showing there are seasonal dynamics (freeze–thaw, plant‐root processes, land management practices, etc.) that may cause changes in the hydraulic properties of the soil zone including hydraulic conductivity and porosity. To test whether these changes are important in an agricultural system, a MODFLOW‐6 model using the unsaturated zone flow package was constructed. The simulation was comprised of separate, seasonal models to be run sequentially with each year being broken into a winter and summer seasons. As part of this architecture, model parameters representing soil hydraulic properties were allowed to vary by season. The model was calibrated against soil moisture observations at multiple depths using a genetic algorithm machine learning technique. The parameters of the sub‐models were compared for the winter and summer seasons. Brook‐Corey epsilon, saturated vertical conductivity, saturated volumetric water content and residual volumetric water content were found to be consistently different between the modelled summer and winter periods. A more traditional model which did not allow hydraulic properties to vary seasonally was also run and compared to the seasonal architecture and the seasonal architecture was found to improve simulation results. The hydrologic dynamics of the unsaturated zone—particularly in tile drained agricultural systems—control the residence time for water and solutes, which is critical for in‐field chemical processes such as denitrification. This work has important implications for seasonal transport phenomena in agricultural systems and improving the simulation and prediction of harmful algal blooms. Conceptual diagram of the geologic context of the SoilVUE 10 soil moisture sensor in (a) winter with high soil moisture and interstitial ice and (b) summer with low soil moisture, crack formation and root disruption. Note: not drawn to scale.</description><subject>Aeration zone</subject><subject>Agriculture</subject><subject>Algae</subject><subject>Algal blooms</subject><subject>calibration</subject><subject>Chemical reactions</subject><subject>Denitrification</subject><subject>Eutrophication</subject><subject>Farming systems</subject><subject>Freeze-thaw</subject><subject>Genetic algorithms</subject><subject>Hydraulic conductivity</subject><subject>Hydraulic properties</subject><subject>Hydraulics</subject><subject>Land management</subject><subject>Machine learning</subject><subject>Modelling</subject><subject>MODFLOW</subject><subject>Moisture content</subject><subject>Nutrient loading</subject><subject>Observational learning</subject><subject>Parameters</subject><subject>Permeability</subject><subject>Porosity</subject><subject>Residence time</subject><subject>Seasonal variability</subject><subject>Seasonal variation</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Simulation</subject><subject>Soil</subject><subject>Soil moisture</subject><subject>Soil permeability</subject><subject>Soil porosity</subject><subject>Soil properties</subject><subject>Soil testing</subject><subject>Soil water</subject><subject>Solute transport</subject><subject>Solutes</subject><subject>Summer</subject><subject>tile drains</subject><subject>Transport phenomena</subject><subject>uncertainty</subject><subject>Unsaturated flow</subject><subject>Unsaturated soils</subject><subject>unsaturated zone</subject><subject>volumetric water content</subject><subject>water budget</subject><subject>Water content</subject><subject>Water quality</subject><subject>Winter</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kU1OG0EQhUdRkOJAFtygpKyyGKj578nOMnFAMrIlAihsRuWeGmjS7h66x0Le5Qg5U46Sk6QnhmVWJdX76j2pXhQdJ3iSIKanD7v-pELE6k00SbCu4wRF8TaaoBBFXKKo3kXvvX8MRI4CJ9HvS9uy1srcwxWTt4Y03JBTtFZaDTtQBlbkaMMDOw9n3CkzsjdWb8POKQm3FCSYWTOwGUaeYGGfYcVuw68uV1bpUZoFxIWEizHRKv8Zpgamfa-VpEFZA7aDy-XZfLG8_fPzVwlkWhgeGK6Np2HrQlILd9YwzPUYQfIH3fNRdNCR9vzhZR5G1_Mv32bn8WL59WI2XcQyqbIqZuS0K2pZpi11Na4zmeYdSSpETbJYFxVT1daiE1UqSizbNeacy7zOkzQoGWWH0ce9b-_s05b90DzarQsP802WZBlinZV5oD7tKems9467pndqQ27XJNiMFTWhouZfRYE93bPPSvPu_2Bz_n21v_gLdwSWVQ</recordid><startdate>202411</startdate><enddate>202411</enddate><creator>Krasowski, Michael P.</creator><creator>Gulsen, Esra</creator><creator>Jones, Allan E.</creator><creator>Abrams, Daniel B.</creator><general>John Wiley &amp; Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><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/0009-0000-4459-2712</orcidid></search><sort><creationdate>202411</creationdate><title>Modelling Seasonal Variability in Parameters Defining Volumetric Water Content in a Low Permeability Soil in Central Illinois: An Application of MODFLOW‐6 and the Unsaturated Zone Flow Package</title><author>Krasowski, Michael P. ; Gulsen, Esra ; Jones, Allan E. ; Abrams, Daniel B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1737-e0e2f59c62daf90b3c24faca589ac5b57ea7d98f8728606db04e4c49412ea73a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aeration zone</topic><topic>Agriculture</topic><topic>Algae</topic><topic>Algal blooms</topic><topic>calibration</topic><topic>Chemical reactions</topic><topic>Denitrification</topic><topic>Eutrophication</topic><topic>Farming systems</topic><topic>Freeze-thaw</topic><topic>Genetic algorithms</topic><topic>Hydraulic conductivity</topic><topic>Hydraulic properties</topic><topic>Hydraulics</topic><topic>Land management</topic><topic>Machine learning</topic><topic>Modelling</topic><topic>MODFLOW</topic><topic>Moisture content</topic><topic>Nutrient loading</topic><topic>Observational learning</topic><topic>Parameters</topic><topic>Permeability</topic><topic>Porosity</topic><topic>Residence time</topic><topic>Seasonal variability</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Simulation</topic><topic>Soil</topic><topic>Soil moisture</topic><topic>Soil permeability</topic><topic>Soil porosity</topic><topic>Soil properties</topic><topic>Soil testing</topic><topic>Soil water</topic><topic>Solute transport</topic><topic>Solutes</topic><topic>Summer</topic><topic>tile drains</topic><topic>Transport phenomena</topic><topic>uncertainty</topic><topic>Unsaturated flow</topic><topic>Unsaturated soils</topic><topic>unsaturated zone</topic><topic>volumetric water content</topic><topic>water budget</topic><topic>Water content</topic><topic>Water quality</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krasowski, Michael P.</creatorcontrib><creatorcontrib>Gulsen, Esra</creatorcontrib><creatorcontrib>Jones, Allan E.</creatorcontrib><creatorcontrib>Abrams, Daniel B.</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; 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>Krasowski, Michael P.</au><au>Gulsen, Esra</au><au>Jones, Allan E.</au><au>Abrams, Daniel B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling Seasonal Variability in Parameters Defining Volumetric Water Content in a Low Permeability Soil in Central Illinois: An Application of MODFLOW‐6 and the Unsaturated Zone Flow Package</atitle><jtitle>Hydrological processes</jtitle><date>2024-11</date><risdate>2024</risdate><volume>38</volume><issue>11</issue><epage>n/a</epage><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>ABSTRACT Increasing interest in solute transport phenomena in agricultural systems on a sub‐annual basis necessitates a better understanding of seasonal changes in natural systems and how these changes can be incorporated into modelling. A better understanding of the seasonal timing of nutrient loading in tile drained agricultural systems in particular is essential for efforts trying to replicate or predict the occurrence of harmful algal blooms. Literature exists showing there are seasonal dynamics (freeze–thaw, plant‐root processes, land management practices, etc.) that may cause changes in the hydraulic properties of the soil zone including hydraulic conductivity and porosity. To test whether these changes are important in an agricultural system, a MODFLOW‐6 model using the unsaturated zone flow package was constructed. The simulation was comprised of separate, seasonal models to be run sequentially with each year being broken into a winter and summer seasons. As part of this architecture, model parameters representing soil hydraulic properties were allowed to vary by season. The model was calibrated against soil moisture observations at multiple depths using a genetic algorithm machine learning technique. The parameters of the sub‐models were compared for the winter and summer seasons. Brook‐Corey epsilon, saturated vertical conductivity, saturated volumetric water content and residual volumetric water content were found to be consistently different between the modelled summer and winter periods. A more traditional model which did not allow hydraulic properties to vary seasonally was also run and compared to the seasonal architecture and the seasonal architecture was found to improve simulation results. The hydrologic dynamics of the unsaturated zone—particularly in tile drained agricultural systems—control the residence time for water and solutes, which is critical for in‐field chemical processes such as denitrification. This work has important implications for seasonal transport phenomena in agricultural systems and improving the simulation and prediction of harmful algal blooms. Conceptual diagram of the geologic context of the SoilVUE 10 soil moisture sensor in (a) winter with high soil moisture and interstitial ice and (b) summer with low soil moisture, crack formation and root disruption. Note: not drawn to scale.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><doi>10.1002/hyp.70007</doi><tpages>16</tpages><orcidid>https://orcid.org/0009-0000-4459-2712</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0885-6087
ispartof Hydrological processes, 2024-11, Vol.38 (11), p.n/a
issn 0885-6087
1099-1085
language eng
recordid cdi_proquest_journals_3133009364
source Access via Wiley Online Library
subjects Aeration zone
Agriculture
Algae
Algal blooms
calibration
Chemical reactions
Denitrification
Eutrophication
Farming systems
Freeze-thaw
Genetic algorithms
Hydraulic conductivity
Hydraulic properties
Hydraulics
Land management
Machine learning
Modelling
MODFLOW
Moisture content
Nutrient loading
Observational learning
Parameters
Permeability
Porosity
Residence time
Seasonal variability
Seasonal variation
Seasonal variations
Seasons
Simulation
Soil
Soil moisture
Soil permeability
Soil porosity
Soil properties
Soil testing
Soil water
Solute transport
Solutes
Summer
tile drains
Transport phenomena
uncertainty
Unsaturated flow
Unsaturated soils
unsaturated zone
volumetric water content
water budget
Water content
Water quality
Winter
title Modelling Seasonal Variability in Parameters Defining Volumetric Water Content in a Low Permeability Soil in Central Illinois: An Application of MODFLOW‐6 and the Unsaturated Zone Flow Package
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T17%3A51%3A43IST&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=Modelling%20Seasonal%20Variability%20in%20Parameters%20Defining%20Volumetric%20Water%20Content%20in%20a%20Low%20Permeability%20Soil%20in%20Central%20Illinois:%20An%20Application%20of%20MODFLOW%E2%80%906%20and%20the%20Unsaturated%20Zone%20Flow%20Package&rft.jtitle=Hydrological%20processes&rft.au=Krasowski,%20Michael%20P.&rft.date=2024-11&rft.volume=38&rft.issue=11&rft.epage=n/a&rft.issn=0885-6087&rft.eissn=1099-1085&rft_id=info:doi/10.1002/hyp.70007&rft_dat=%3Cproquest_cross%3E3133009364%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=3133009364&rft_id=info:pmid/&rfr_iscdi=true