Estimating hydraulic conductivity using grain-size analyses, aquifer tests, and numerical modeling in a riverside alluvial system in South Korea
Hydraulic conductivity (K) for an alluvial system in a riverbank filtration area in Changwon City, South Korea, has been studied using grain-size distribution, pumping and slug tests, and numerical modeling. The alluvial system is composed of layers: upper fine sand, medium sand, lower fine sand, an...
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Veröffentlicht in: | Hydrogeology journal 2008-09, Vol.16 (6), p.1129-1143, Article 1129 |
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description | Hydraulic conductivity (K) for an alluvial system in a riverbank filtration area in Changwon City, South Korea, has been studied using grain-size distribution, pumping and slug tests, and numerical modeling. The alluvial system is composed of layers: upper fine sand, medium sand, lower fine sand, and a highly conductive sand/gravel layer at the base. The geometric mean of K for the sand/gravel layer (9.89 x 10⁻⁴ m s⁻¹), as determined by grain-size analyses, was 3.33 times greater than the geometric mean obtained from pumping tests (2.97 x 10⁻⁴ m s⁻¹). The geometric mean of K estimates obtained from slug tests (3.08 x 10⁻⁶ m s⁻¹) was one to two orders of magnitude lower than that from pumping tests and grain-size analyses. K estimates derived from a numerical model were compared to those derived from the grain-size methods, slug tests and pumping tests in order to determine the degree of deviation from the numerical model. It is considered that the K estimates determined by the slug tests resemble the uppermost part of the alluvial deposit, whereas the K estimates obtained by grain-size analyses and pumping tests are similar to those from the numerical model for the sand/gravel layer of the riverside alluvial system. |
doi_str_mv | 10.1007/s10040-008-0303-4 |
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The alluvial system is composed of layers: upper fine sand, medium sand, lower fine sand, and a highly conductive sand/gravel layer at the base. The geometric mean of K for the sand/gravel layer (9.89 x 10⁻⁴ m s⁻¹), as determined by grain-size analyses, was 3.33 times greater than the geometric mean obtained from pumping tests (2.97 x 10⁻⁴ m s⁻¹). The geometric mean of K estimates obtained from slug tests (3.08 x 10⁻⁶ m s⁻¹) was one to two orders of magnitude lower than that from pumping tests and grain-size analyses. K estimates derived from a numerical model were compared to those derived from the grain-size methods, slug tests and pumping tests in order to determine the degree of deviation from the numerical model. It is considered that the K estimates determined by the slug tests resemble the uppermost part of the alluvial deposit, whereas the K estimates obtained by grain-size analyses and pumping tests are similar to those from the numerical model for the sand/gravel layer of the riverside alluvial system.</description><identifier>ISSN: 1431-2174</identifier><identifier>EISSN: 1435-0157</identifier><identifier>DOI: 10.1007/s10040-008-0303-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag</publisher><subject>Alluvial deposits ; Aquatic Pollution ; Aquifer testing ; Aquifers ; Computational fluid dynamics ; Conductivity ; Earth and Environmental Science ; Earth Sciences ; Estimates ; Freshwater ; Geology ; Geophysics/Geodesy ; Grain size ; Grain-size analysis ; Gravel ; hydraulic conductivity ; Hydrogeology ; Hydrology ; Hydrology/Water Resources ; Mathematical models ; Numerical modeling ; Particle size ; Pumping ; Pumping tests ; River banks ; Riverbank filtration ; Sand ; Slugs ; Waste Water Technology ; Water Management ; Water Pollution Control ; Water Quality/Water Pollution ; Water resources management</subject><ispartof>Hydrogeology journal, 2008-09, Vol.16 (6), p.1129-1143, Article 1129</ispartof><rights>Springer-Verlag 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a521t-6367f620b7b842c3f74660c67010bc76a06afa82924152b053fd7a7a0bf22dcb3</citedby><cites>FETCH-LOGICAL-a521t-6367f620b7b842c3f74660c67010bc76a06afa82924152b053fd7a7a0bf22dcb3</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/s10040-008-0303-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10040-008-0303-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Cheong, Jae-Yeol</creatorcontrib><creatorcontrib>Hamm, Se-Yeong</creatorcontrib><creatorcontrib>Kim, Hyoung-Soo</creatorcontrib><creatorcontrib>Ko, Eun-Joung</creatorcontrib><creatorcontrib>Yang, Kyounghee</creatorcontrib><creatorcontrib>Lee, Jeong-Hwan</creatorcontrib><title>Estimating hydraulic conductivity using grain-size analyses, aquifer tests, and numerical modeling in a riverside alluvial system in South Korea</title><title>Hydrogeology journal</title><addtitle>Hydrogeol J</addtitle><description>Hydraulic conductivity (K) for an alluvial system in a riverbank filtration area in Changwon City, South Korea, has been studied using grain-size distribution, pumping and slug tests, and numerical modeling. The alluvial system is composed of layers: upper fine sand, medium sand, lower fine sand, and a highly conductive sand/gravel layer at the base. The geometric mean of K for the sand/gravel layer (9.89 x 10⁻⁴ m s⁻¹), as determined by grain-size analyses, was 3.33 times greater than the geometric mean obtained from pumping tests (2.97 x 10⁻⁴ m s⁻¹). The geometric mean of K estimates obtained from slug tests (3.08 x 10⁻⁶ m s⁻¹) was one to two orders of magnitude lower than that from pumping tests and grain-size analyses. K estimates derived from a numerical model were compared to those derived from the grain-size methods, slug tests and pumping tests in order to determine the degree of deviation from the numerical model. It is considered that the K estimates determined by the slug tests resemble the uppermost part of the alluvial deposit, whereas the K estimates obtained by grain-size analyses and pumping tests are similar to those from the numerical model for the sand/gravel layer of the riverside alluvial system.</description><subject>Alluvial deposits</subject><subject>Aquatic Pollution</subject><subject>Aquifer testing</subject><subject>Aquifers</subject><subject>Computational fluid dynamics</subject><subject>Conductivity</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Estimates</subject><subject>Freshwater</subject><subject>Geology</subject><subject>Geophysics/Geodesy</subject><subject>Grain size</subject><subject>Grain-size analysis</subject><subject>Gravel</subject><subject>hydraulic conductivity</subject><subject>Hydrogeology</subject><subject>Hydrology</subject><subject>Hydrology/Water Resources</subject><subject>Mathematical models</subject><subject>Numerical modeling</subject><subject>Particle size</subject><subject>Pumping</subject><subject>Pumping tests</subject><subject>River banks</subject><subject>Riverbank filtration</subject><subject>Sand</subject><subject>Slugs</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water Quality/Water Pollution</subject><subject>Water resources 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aquifer tests, and numerical modeling in a riverside alluvial system in South Korea</atitle><jtitle>Hydrogeology journal</jtitle><stitle>Hydrogeol J</stitle><date>2008-09-01</date><risdate>2008</risdate><volume>16</volume><issue>6</issue><spage>1129</spage><epage>1143</epage><pages>1129-1143</pages><artnum>1129</artnum><issn>1431-2174</issn><eissn>1435-0157</eissn><abstract>Hydraulic conductivity (K) for an alluvial system in a riverbank filtration area in Changwon City, South Korea, has been studied using grain-size distribution, pumping and slug tests, and numerical modeling. The alluvial system is composed of layers: upper fine sand, medium sand, lower fine sand, and a highly conductive sand/gravel layer at the base. The geometric mean of K for the sand/gravel layer (9.89 x 10⁻⁴ m s⁻¹), as determined by grain-size analyses, was 3.33 times greater than the geometric mean obtained from pumping tests (2.97 x 10⁻⁴ m s⁻¹). The geometric mean of K estimates obtained from slug tests (3.08 x 10⁻⁶ m s⁻¹) was one to two orders of magnitude lower than that from pumping tests and grain-size analyses. K estimates derived from a numerical model were compared to those derived from the grain-size methods, slug tests and pumping tests in order to determine the degree of deviation from the numerical model. It is considered that the K estimates determined by the slug tests resemble the uppermost part of the alluvial deposit, whereas the K estimates obtained by grain-size analyses and pumping tests are similar to those from the numerical model for the sand/gravel layer of the riverside alluvial system.</abstract><cop>Berlin/Heidelberg</cop><pub>Berlin/Heidelberg : Springer-Verlag</pub><doi>10.1007/s10040-008-0303-4</doi><tpages>15</tpages></addata></record> |
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subjects | Alluvial deposits Aquatic Pollution Aquifer testing Aquifers Computational fluid dynamics Conductivity Earth and Environmental Science Earth Sciences Estimates Freshwater Geology Geophysics/Geodesy Grain size Grain-size analysis Gravel hydraulic conductivity Hydrogeology Hydrology Hydrology/Water Resources Mathematical models Numerical modeling Particle size Pumping Pumping tests River banks Riverbank filtration Sand Slugs Waste Water Technology Water Management Water Pollution Control Water Quality/Water Pollution Water resources management |
title | Estimating hydraulic conductivity using grain-size analyses, aquifer tests, and numerical modeling in a riverside alluvial system in South Korea |
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