Rock fracture characterization and discrete network modeling and its implication for groundwater flow in crystalline rocks of south-eastern Ghana
Information on the role fracture properties plays in groundwater flow and solute transport in crystalline rock masses abound. This study uses the discrete fracture network (DFN) modeling approach from 1128 fractures spanning along 238 m of linear scanline, and 14 circular scanlines to determine mean...
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| Veröffentlicht in: | Modeling earth systems and environment 2022-03, Vol.8 (1), p.991-1001 |
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| creator | Amadu, Casmed Charles Awotwi, Alfred Foli, Gordon Gawu, Simon K. Y. |
| description | Information on the role fracture properties plays in groundwater flow and solute transport in crystalline rock masses abound. This study uses the discrete fracture network (DFN) modeling approach from 1128 fractures spanning along 238 m of linear scanline, and 14 circular scanlines to determine mean porosity and permeability of some crystalline rocks in the Togo structural units of south-eastern Ghana. Linear intensity (
P
10
) and areal intensity (
P
21
) were determined, while spatial fracture intensity (
P
32
) and hydraulic properties were estimated from the DFN modeling. The estimated mean porosity is 0.38 for a representative elemental volume of 8000 m
3
, while the horizontal and vertical permeability values range from 10
–3
to 10
–4
and 10
–4
to 10
–6
m/s, respectively. The study concludes that scanline mapping data can be effectively used to project field information at outcrop scales to produce 3D models of discontinuity networks in the crystalline rocks. Results from the study can be of relevance during the siting of waste dumps and water supply sources. The approach would be suitable for the characterization of similar terrains for water resource supply and waste disposal site selection. |
| doi_str_mv | 10.1007/s40808-021-01139-y |
| format | Article |
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P
10
) and areal intensity (
P
21
) were determined, while spatial fracture intensity (
P
32
) and hydraulic properties were estimated from the DFN modeling. The estimated mean porosity is 0.38 for a representative elemental volume of 8000 m
3
, while the horizontal and vertical permeability values range from 10
–3
to 10
–4
and 10
–4
to 10
–6
m/s, respectively. The study concludes that scanline mapping data can be effectively used to project field information at outcrop scales to produce 3D models of discontinuity networks in the crystalline rocks. Results from the study can be of relevance during the siting of waste dumps and water supply sources. The approach would be suitable for the characterization of similar terrains for water resource supply and waste disposal site selection.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-021-01139-y</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Chemistry and Earth Sciences ; Computer Science ; Crystal structure ; Crystalline rocks ; Crystallinity ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Environment ; Fractures ; Groundwater ; Groundwater flow ; Hydraulic properties ; Landfills ; Math. Appl. in Environmental Science ; Mathematical Applications in the Physical Sciences ; Modelling ; Original Article ; Outcrops ; Permeability ; Physics ; Porosity ; Properties ; Rock ; Rock masses ; Site selection ; Solute transport ; Solutes ; Statistics for Engineering ; Three dimensional models ; Waste disposal ; Water resources ; Water supply</subject><ispartof>Modeling earth systems and environment, 2022-03, Vol.8 (1), p.991-1001</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-8a85498d416689d912b36aaaf46d48170eb264d2c76220ea20fd4796ca1467993</citedby><cites>FETCH-LOGICAL-c319t-8a85498d416689d912b36aaaf46d48170eb264d2c76220ea20fd4796ca1467993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40808-021-01139-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40808-021-01139-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Amadu, Casmed Charles</creatorcontrib><creatorcontrib>Awotwi, Alfred</creatorcontrib><creatorcontrib>Foli, Gordon</creatorcontrib><creatorcontrib>Gawu, Simon K. Y.</creatorcontrib><title>Rock fracture characterization and discrete network modeling and its implication for groundwater flow in crystalline rocks of south-eastern Ghana</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>Information on the role fracture properties plays in groundwater flow and solute transport in crystalline rock masses abound. This study uses the discrete fracture network (DFN) modeling approach from 1128 fractures spanning along 238 m of linear scanline, and 14 circular scanlines to determine mean porosity and permeability of some crystalline rocks in the Togo structural units of south-eastern Ghana. Linear intensity (
P
10
) and areal intensity (
P
21
) were determined, while spatial fracture intensity (
P
32
) and hydraulic properties were estimated from the DFN modeling. The estimated mean porosity is 0.38 for a representative elemental volume of 8000 m
3
, while the horizontal and vertical permeability values range from 10
–3
to 10
–4
and 10
–4
to 10
–6
m/s, respectively. The study concludes that scanline mapping data can be effectively used to project field information at outcrop scales to produce 3D models of discontinuity networks in the crystalline rocks. Results from the study can be of relevance during the siting of waste dumps and water supply sources. The approach would be suitable for the characterization of similar terrains for water resource supply and waste disposal site selection.</description><subject>Chemistry and Earth Sciences</subject><subject>Computer Science</subject><subject>Crystal structure</subject><subject>Crystalline rocks</subject><subject>Crystallinity</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Fractures</subject><subject>Groundwater</subject><subject>Groundwater flow</subject><subject>Hydraulic properties</subject><subject>Landfills</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Modelling</subject><subject>Original Article</subject><subject>Outcrops</subject><subject>Permeability</subject><subject>Physics</subject><subject>Porosity</subject><subject>Properties</subject><subject>Rock</subject><subject>Rock masses</subject><subject>Site selection</subject><subject>Solute transport</subject><subject>Solutes</subject><subject>Statistics for Engineering</subject><subject>Three dimensional models</subject><subject>Waste disposal</subject><subject>Water resources</subject><subject>Water supply</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1KAzEURgdRsFRfwFXA9Wh-xsxkKUWrUBBE1-E2ybRpp0lNMpT6Fr6xaUd05-peuOd8F76iuCL4hmBc38YKN7gpMSUlJoSJcn9SjCjjrOSUkNPfHbPz4jLGFcaYcMq5EKPi69WrNWoDqNQHg9QSDqsJ9hOS9Q6B00jbqIJJBjmTdj6s0cZr01m3OF5tishutp1Vg9H6gBbB907vIAehtvM7ZB1SYR8TdNkzKOSnEfkWRd-nZWkgZtKh6RIcXBRnLXTRXP7McfH--PA2eSpnL9Pnyf2sVIyIVDbQ3FWi0RXhvBFaEDpnHADaiuuqITU2c8orTVXNKcUGKG51VQuugFS8FoKNi-shdxv8R29ikivfB5dfSspZZghuDhQdKBV8jMG0chvsBsJeEiwP7cuhfZnbl8f25T5LbJBiht3ChL_of6xvEbOK3g</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Amadu, Casmed Charles</creator><creator>Awotwi, Alfred</creator><creator>Foli, Gordon</creator><creator>Gawu, Simon K. Y.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>AEUYN</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>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20220301</creationdate><title>Rock fracture characterization and discrete network modeling and its implication for groundwater flow in crystalline rocks of south-eastern Ghana</title><author>Amadu, Casmed Charles ; Awotwi, Alfred ; Foli, Gordon ; Gawu, Simon K. Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-8a85498d416689d912b36aaaf46d48170eb264d2c76220ea20fd4796ca1467993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Chemistry and Earth Sciences</topic><topic>Computer Science</topic><topic>Crystal structure</topic><topic>Crystalline rocks</topic><topic>Crystallinity</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Fractures</topic><topic>Groundwater</topic><topic>Groundwater flow</topic><topic>Hydraulic properties</topic><topic>Landfills</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Modelling</topic><topic>Original Article</topic><topic>Outcrops</topic><topic>Permeability</topic><topic>Physics</topic><topic>Porosity</topic><topic>Properties</topic><topic>Rock</topic><topic>Rock masses</topic><topic>Site selection</topic><topic>Solute transport</topic><topic>Solutes</topic><topic>Statistics for Engineering</topic><topic>Three dimensional models</topic><topic>Waste disposal</topic><topic>Water resources</topic><topic>Water supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amadu, Casmed Charles</creatorcontrib><creatorcontrib>Awotwi, Alfred</creatorcontrib><creatorcontrib>Foli, Gordon</creatorcontrib><creatorcontrib>Gawu, Simon K. 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Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rock fracture characterization and discrete network modeling and its implication for groundwater flow in crystalline rocks of south-eastern Ghana</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>8</volume><issue>1</issue><spage>991</spage><epage>1001</epage><pages>991-1001</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>Information on the role fracture properties plays in groundwater flow and solute transport in crystalline rock masses abound. This study uses the discrete fracture network (DFN) modeling approach from 1128 fractures spanning along 238 m of linear scanline, and 14 circular scanlines to determine mean porosity and permeability of some crystalline rocks in the Togo structural units of south-eastern Ghana. Linear intensity (
P
10
) and areal intensity (
P
21
) were determined, while spatial fracture intensity (
P
32
) and hydraulic properties were estimated from the DFN modeling. The estimated mean porosity is 0.38 for a representative elemental volume of 8000 m
3
, while the horizontal and vertical permeability values range from 10
–3
to 10
–4
and 10
–4
to 10
–6
m/s, respectively. The study concludes that scanline mapping data can be effectively used to project field information at outcrop scales to produce 3D models of discontinuity networks in the crystalline rocks. Results from the study can be of relevance during the siting of waste dumps and water supply sources. The approach would be suitable for the characterization of similar terrains for water resource supply and waste disposal site selection.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-021-01139-y</doi><tpages>11</tpages></addata></record> |
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| subjects | Chemistry and Earth Sciences Computer Science Crystal structure Crystalline rocks Crystallinity Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Fractures Groundwater Groundwater flow Hydraulic properties Landfills Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Modelling Original Article Outcrops Permeability Physics Porosity Properties Rock Rock masses Site selection Solute transport Solutes Statistics for Engineering Three dimensional models Waste disposal Water resources Water supply |
| title | Rock fracture characterization and discrete network modeling and its implication for groundwater flow in crystalline rocks of south-eastern Ghana |
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