{"id":92221,"date":"2026-04-16T18:00:58","date_gmt":"2026-04-16T18:00:58","guid":{"rendered":"https:\/\/gaeatech.com\/knowledge-center\/?p=92221"},"modified":"2026-04-13T22:58:14","modified_gmt":"2026-04-13T22:58:14","slug":"pollutev10-example-12-fractured-media-transport-analytical-solution","status":"publish","type":"post","link":"https:\/\/gaeatech.com\/knowledge-center\/pollutev10-example-12-fractured-media-transport-analytical-solution\/","title":{"rendered":"POLLUTEv10 Example 12: Fractured Media Transport vs Analytical Solution (Tang et al., 1981)"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-validating-fracture-transport-modeling-with-analytical-benchmarks\">Validating Fracture Transport Modeling with Analytical Benchmarks<\/h2>\n\n\n\n<p><strong>POLLUTEv10 Example 12<\/strong> is a <strong>benchmark validation case<\/strong> that compares numerical results from POLLUTEv10 with an analytical solution developed by Tang et al..<\/p>\n\n\n\n<p>This example focuses on <strong>transport in fractured porous media<\/strong>, where contaminant migration occurs rapidly along fractures and slowly into the surrounding rock matrix.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Problem Overview<\/h2>\n\n\n\n<p>The model simulates:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A <strong>single fracture system<\/strong><\/li>\n\n\n\n<li>A <strong>conservative contaminant<\/strong> (no sorption in fracture)<\/li>\n\n\n\n<li><strong>Advection and diffusion along fractures<\/strong><\/li>\n\n\n\n<li><strong>Diffusion into the surrounding matrix<\/strong><\/li>\n\n\n\n<li>A <strong>constant source concentration<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Key Conditions<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Source concentration (<strong>co<\/strong>) = 1.0 mg\/L<\/li>\n\n\n\n<li>Fracture spacing = 1 m<\/li>\n\n\n\n<li>Fracture aperture = 10 \u03bcm<\/li>\n\n\n\n<li>High groundwater velocity along fractures<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Conceptual Model<\/h2>\n\n\n\n<p>The system consists of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Discrete fractures<\/strong> acting as fast-flow pathways<\/li>\n\n\n\n<li>A <strong>low-permeability rock matrix<\/strong> surrounding fractures<\/li>\n\n\n\n<li><strong>Diffusion from fracture \u2192 matrix<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Key Insight<\/h3>\n\n\n\n<p>Because matrix diffusion is extremely small:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\"><strong>There is effectively no interaction between adjacent fractures<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>Thus:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Results are independent of fracture spacing over the time scale considered<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Key Calculations<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Darcy Velocity in Fractures<\/h3>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>v<\/mi><mi>a<\/mi><\/msub><mo>=<\/mo><mo stretchy=\"false\">(<\/mo><mtext>fractures&nbsp;per&nbsp;m<\/mtext><mo stretchy=\"false\">)<\/mo><mo>\u00d7<\/mo><mo stretchy=\"false\">(<\/mo><mtext>fracture&nbsp;width<\/mtext><mo stretchy=\"false\">)<\/mo><mo>\u00d7<\/mo><mo stretchy=\"false\">(<\/mo><mtext>seepage&nbsp;velocity<\/mtext><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">v_a = (\\text{fractures per m}) \\times (\\text{fracture width}) \\times (\\text{seepage velocity})<\/annotation><\/semantics><\/math><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>v<\/mi><mi>a<\/mi><\/msub><mo>=<\/mo><mn>10<\/mn><mo>\u00d7<\/mo><msup><mn>10<\/mn><mrow><mo>\u2212<\/mo><mn>6<\/mn><\/mrow><\/msup><mo>\u00d7<\/mo><mn>1<\/mn><mo>\u00d7<\/mo><mn>730<\/mn><mo>=<\/mo><mn>0.73<\/mn><mo>\u00d7<\/mo><msup><mn>10<\/mn><mrow><mo>\u2212<\/mo><mn>2<\/mn><\/mrow><\/msup><mtext>\u2009<\/mtext><mtext>m\/a<\/mtext><\/mrow><annotation encoding=\"application\/x-tex\">v_a = 10 \\times 10^{-6} \\times 1 \\times 730 = 0.73 \\times 10^{-2} \\, \\text{m\/a}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-mix-diffusion-coefficient\">Mix Diffusion Coefficient<\/h3>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>D<\/mi><mi>m<\/mi><\/msub><mo>=<\/mo><msub><mi>D<\/mi><mi>f<\/mi><\/msub><mo>\u00d7<\/mo><mtext>tortuosity<\/mtext><\/mrow><annotation encoding=\"application\/x-tex\">D_m = D_f \\times \\text{tortuosity}<\/annotation><\/semantics><\/math><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>D<\/mi><mi>m<\/mi><\/msub><mo>=<\/mo><mn>0.077<\/mn><mo>\u00d7<\/mo><mn>0.0000983<\/mn><mo>=<\/mo><mn>7.57<\/mn><mo>\u00d7<\/mo><msup><mn>10<\/mn><mrow><mo>\u2212<\/mo><mn>6<\/mn><\/mrow><\/msup><mtext>\u2009<\/mtext><msup><mtext>m<\/mtext><mn>2<\/mn><\/msup><mi mathvariant=\"normal\">\/<\/mi><mtext>a<\/mtext><\/mrow><annotation encoding=\"application\/x-tex\">D_m = 0.077 \\times 0.0000983 = 7.57 \\times 10^{-6} \\, \\text{m}^2\/\\text{a}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Input Parameters<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Property<\/th><th>Value<\/th><th>Units<\/th><\/tr><\/thead><tbody><tr><td>Darcy Velocity (va)<\/td><td>0.73E-2<\/td><td>m\/a<\/td><\/tr><tr><td>Soil Thickness (H)<\/td><td>400.0<\/td><td>m<\/td><\/tr><tr><td>Sub-layers<\/td><td>4<\/td><td>&#8211;<\/td><\/tr><tr><td>Fracture Spacing<\/td><td>1.0<\/td><td>m<\/td><\/tr><tr><td>Fracture Opening<\/td><td>10E-6<\/td><td>m<\/td><\/tr><tr><td>Fracture Diffusion Coefficient<\/td><td>0.077<\/td><td>m\u00b2\/a<\/td><\/tr><tr><td>Fracture Distribution Coef.<\/td><td>0.0<\/td><td>cm\u00b3\/g<\/td><\/tr><tr><td>Matrix Diffusion Coefficient<\/td><td>7.57E-6<\/td><td>m\u00b2\/a<\/td><\/tr><tr><td>Matrix Distribution Coef.<\/td><td>1.0<\/td><td>cm\u00b3\/g<\/td><\/tr><tr><td>Matrix Porosity (nm)<\/td><td>0.05<\/td><td>&#8211;<\/td><\/tr><tr><td>Dry Density (Matrix)<\/td><td>0.0<\/td><td>g\/cm\u00b3<\/td><\/tr><tr><td>Source Concentration<\/td><td>1.0<\/td><td>mg\/L<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Transport Mechanisms<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. Advection in Fractures<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Rapid contaminant movement<\/li>\n\n\n\n<li>Dominant transport pathway<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. Diffusion Along Fractures<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Spreads contaminant longitudinally<\/li>\n\n\n\n<li>Controlled by <strong>Df = 0.077 m\u00b2\/a<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. Matrix Diffusion<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Very slow transfer into surrounding rock<\/li>\n\n\n\n<li>Controlled by <strong>low tortuosity<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4. No Dispersion<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dispersivity = 0<\/li>\n\n\n\n<li>Simplifies comparison with analytical solution<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-graphical-output-depth-vs-concentration\">Graphical Output: Depth vs Concentration<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1007\" height=\"910\" src=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/uploads\/2026\/04\/image-23.jpg\" alt=\"\" class=\"wp-image-92222\" srcset=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/uploads\/2026\/04\/image-23.jpg 1007w, https:\/\/gaeatech.com\/knowledge-center\/wp-content\/uploads\/2026\/04\/image-23-300x271.jpg 300w, https:\/\/gaeatech.com\/knowledge-center\/wp-content\/uploads\/2026\/04\/image-23-768x694.jpg 768w\" sizes=\"auto, (max-width: 1007px) 100vw, 1007px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-pdf-report\">PDF Report<\/h2>\n\n\n<div class=\"ead-preview\"><div class=\"ead-document\" style=\"position: relative;padding-top: 90%\"><div class=\"ead-iframe-wrapper\"><iframe src=\"\/\/docs.google.com\/viewer?url=https%3A%2F%2Fgaeatech.com%2Fknowledge-center%2Fwp-content%2Fuploads%2F2026%2F04%2Fpollute-example12.pdf&amp;embedded=true&amp;hl=en\" title=\"Embedded Document\" class=\"ead-iframe\" style=\"width: 100%;height: 100%;border: none;position: absolute;left: 0;top: 0;visibility: hidden;\"><\/iframe><\/div>\t\t\t<div class=\"ead-document-loading\" style=\"width:100%;height:100%;position:absolute;left:0;top:0;z-index:10\">\n\t\t\t\t<div class=\"ead-loading-wrap\">\n\t\t\t\t\t<div class=\"ead-loading-main\">\n\t\t\t\t\t\t<div class=\"ead-loading\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/plugins\/embed-any-document\/images\/loading.svg\" width=\"55\" height=\"55\" alt=\"Loader\">\n\t\t\t\t\t\t\t<span>Loading&#8230;<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"ead-loading-foot\">\n\t\t\t\t\t\t<div class=\"ead-loading-foot-title\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/plugins\/embed-any-document\/images\/EAD-logo.svg\" alt=\"EAD Logo\" width=\"36\" height=\"23\"\/>\n\t\t\t\t\t\t\t<span>Taking too long?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<p>\n\t\t\t\t\t\t\t<div class=\"ead-document-btn ead-reload-btn\" role=\"button\">\n\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/plugins\/embed-any-document\/images\/reload.svg\" alt=\"Reload\" width=\"12\" height=\"12\"\/> Reload document\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<span>|<\/span>\n\t\t\t\t\t\t\t<a href=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/uploads\/2026\/04\/pollute-example12.pdf\" class=\"ead-document-btn\" target=\"_blank\">\n\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gaeatech.com\/knowledge-center\/wp-content\/plugins\/embed-any-document\/images\/open.svg\" alt=\"Open\" width=\"12\" height=\"12\"\/> Open in new tab\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><\/div>\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Key Insights<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fractures dominate contaminant transport in rock<\/li>\n\n\n\n<li>Matrix diffusion can be negligible depending on tortuosity<\/li>\n\n\n\n<li>Analytical solutions are valuable for <strong>model validation<\/strong><\/li>\n\n\n\n<li>POLLUTEv10 accurately simulates <strong>dual-porosity systems<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Importance of Model Setup<\/h2>\n\n\n\n<p>Even though only <strong>4 sub-layers<\/strong> are used:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Large domain (400 m) simplifies gradients<\/li>\n\n\n\n<li>Low matrix interaction reduces complexity<\/li>\n<\/ul>\n\n\n\n<p>However:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\">More layers may be required for higher precision or stronger matrix interaction<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Practical Applications<\/h2>\n\n\n\n<p>This example is critical for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Fractured rock aquifer analysis<\/strong><\/li>\n\n\n\n<li><strong>Nuclear waste repository studies<\/strong><\/li>\n\n\n\n<li><strong>Contaminant transport in bedrock<\/strong><\/li>\n\n\n\n<li><strong>Model verification and calibration<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>POLLUTEv10 Example 12 demonstrates the model\u2019s ability to accurately simulate <strong>fracture\u2013matrix transport systems<\/strong> and match established analytical solutions.<\/p>\n\n\n\n<p>Key takeaways:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fracture flow controls transport speed<\/li>\n\n\n\n<li>Matrix diffusion may be minimal in some systems<\/li>\n\n\n\n<li>Analytical comparisons are essential for validation<\/li>\n<\/ul>\n\n\n\n<p>This example builds confidence in using POLLUTEv10 for <strong>complex fractured media problems<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Validating Fracture Transport Modeling with Analytical Benchmarks POLLUTEv10 Example 12 is a benchmark validation case that compares numerical results from POLLUTEv10 with an analytical solution developed by Tang et al.. This example focuses on transport in fractured porous media, where contaminant migration occurs rapidly along fractures and slowly into the surrounding rock matrix. Problem Overview [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":92224,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[858,1632],"tags":[1669,501,1647,24,1650,469,821,1648,1636,1627],"class_list":["post-92221","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-contaminant-transport-modeling","category-pollute-examples","tag-analytical-solution","tag-contaminant-transport","tag-dual-porosity","tag-environmental-engineering","tag-fractured-rock","tag-groundwater-modeling","tag-hydrogeology","tag-matrix-diffusion","tag-numerical-modeling","tag-pollutev10"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Fractured Media Transport \u2013 POLLUTEv10 Example 12 Overview - 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