A new mathematical technique for identifying potential sources of groundwater contamination
Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (...
Ausführliche Beschreibung
Autor*in: |
Laton, W. R. [verfasserIn] Whitley, R. J. [verfasserIn] Hromadka, T. V. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2006 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Hydrogeology journal - Berlin : Springer, 1992, 15(2006), 2 vom: 28. Okt., Seite 333-338 |
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Übergeordnetes Werk: |
volume:15 ; year:2006 ; number:2 ; day:28 ; month:10 ; pages:333-338 |
Links: |
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DOI / URN: |
10.1007/s10040-006-0106-4 |
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Katalog-ID: |
SPR008172927 |
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520 | |a Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. | ||
650 | 4 | |a Hydrochemical modeling |7 (dpeaa)DE-He213 | |
650 | 4 | |a Numerical modeling |7 (dpeaa)DE-He213 | |
650 | 4 | |a Quadratic programming |7 (dpeaa)DE-He213 | |
650 | 4 | |a Convex hull |7 (dpeaa)DE-He213 | |
700 | 1 | |a Whitley, R. J. |e verfasserin |4 aut | |
700 | 1 | |a Hromadka, T. V. |e verfasserin |4 aut | |
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10.1007/s10040-006-0106-4 doi (DE-627)SPR008172927 (SPR)s10040-006-0106-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.86 bkl Laton, W. R. verfasserin aut A new mathematical technique for identifying potential sources of groundwater contamination 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. Hydrochemical modeling (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Quadratic programming (dpeaa)DE-He213 Convex hull (dpeaa)DE-He213 Whitley, R. J. verfasserin aut Hromadka, T. V. verfasserin aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 15(2006), 2 vom: 28. Okt., Seite 333-338 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:15 year:2006 number:2 day:28 month:10 pages:333-338 https://dx.doi.org/10.1007/s10040-006-0106-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.86 ASE AR 15 2006 2 28 10 333-338 |
spelling |
10.1007/s10040-006-0106-4 doi (DE-627)SPR008172927 (SPR)s10040-006-0106-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.86 bkl Laton, W. R. verfasserin aut A new mathematical technique for identifying potential sources of groundwater contamination 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. Hydrochemical modeling (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Quadratic programming (dpeaa)DE-He213 Convex hull (dpeaa)DE-He213 Whitley, R. J. verfasserin aut Hromadka, T. V. verfasserin aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 15(2006), 2 vom: 28. Okt., Seite 333-338 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:15 year:2006 number:2 day:28 month:10 pages:333-338 https://dx.doi.org/10.1007/s10040-006-0106-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.86 ASE AR 15 2006 2 28 10 333-338 |
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10.1007/s10040-006-0106-4 doi (DE-627)SPR008172927 (SPR)s10040-006-0106-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.86 bkl Laton, W. R. verfasserin aut A new mathematical technique for identifying potential sources of groundwater contamination 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. Hydrochemical modeling (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Quadratic programming (dpeaa)DE-He213 Convex hull (dpeaa)DE-He213 Whitley, R. J. verfasserin aut Hromadka, T. V. verfasserin aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 15(2006), 2 vom: 28. Okt., Seite 333-338 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:15 year:2006 number:2 day:28 month:10 pages:333-338 https://dx.doi.org/10.1007/s10040-006-0106-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.86 ASE AR 15 2006 2 28 10 333-338 |
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10.1007/s10040-006-0106-4 doi (DE-627)SPR008172927 (SPR)s10040-006-0106-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.86 bkl Laton, W. R. verfasserin aut A new mathematical technique for identifying potential sources of groundwater contamination 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. Hydrochemical modeling (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Quadratic programming (dpeaa)DE-He213 Convex hull (dpeaa)DE-He213 Whitley, R. J. verfasserin aut Hromadka, T. V. verfasserin aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 15(2006), 2 vom: 28. Okt., Seite 333-338 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:15 year:2006 number:2 day:28 month:10 pages:333-338 https://dx.doi.org/10.1007/s10040-006-0106-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.86 ASE AR 15 2006 2 28 10 333-338 |
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10.1007/s10040-006-0106-4 doi (DE-627)SPR008172927 (SPR)s10040-006-0106-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.86 bkl Laton, W. R. verfasserin aut A new mathematical technique for identifying potential sources of groundwater contamination 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. Hydrochemical modeling (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Quadratic programming (dpeaa)DE-He213 Convex hull (dpeaa)DE-He213 Whitley, R. J. verfasserin aut Hromadka, T. V. verfasserin aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 15(2006), 2 vom: 28. Okt., Seite 333-338 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:15 year:2006 number:2 day:28 month:10 pages:333-338 https://dx.doi.org/10.1007/s10040-006-0106-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.86 ASE AR 15 2006 2 28 10 333-338 |
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Laton, W. R. @@aut@@ Whitley, R. J. @@aut@@ Hromadka, T. V. @@aut@@ |
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Laton, W. R. |
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Laton, W. R. ddc 550 bkl 38.86 misc Hydrochemical modeling misc Numerical modeling misc Quadratic programming misc Convex hull A new mathematical technique for identifying potential sources of groundwater contamination |
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550 ASE 38.86 bkl A new mathematical technique for identifying potential sources of groundwater contamination Hydrochemical modeling (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Quadratic programming (dpeaa)DE-He213 Convex hull (dpeaa)DE-He213 |
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new mathematical technique for identifying potential sources of groundwater contamination |
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A new mathematical technique for identifying potential sources of groundwater contamination |
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Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. |
abstractGer |
Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. |
abstract_unstemmed |
Abstract The observed hydrogeochemical condition of groundwater at a particular well is usually represented as a mixture of various sources of pollution and background conditions and is given in terms of measurements of multiple dissolved inorganic water contaminants such as total dissolved solids (TDS). Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. In this analysis, an example is given to show that if there are a total of N concentration values, all N must be considered simultaneously in order to ascertain whether the observed conditions at the well can be explained as a mixture, and this can be done by solving a quadratic programming problem-convex hull. |
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A new mathematical technique for identifying potential sources of groundwater contamination |
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Concentrations from a given set of wells can be compared against one another in a variety of ways, but the consideration as to which chemical concentrations are best related to one another is limited. 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J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hromadka, T. V.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Hydrogeology journal</subfield><subfield code="d">Berlin : Springer, 1992</subfield><subfield code="g">15(2006), 2 vom: 28. 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