Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India
Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Katla, Shankaraiah [verfasserIn] Gugulothu, Sakram [verfasserIn] Dhakate, Ratnakar [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Environmental sustainability - Singapore : Springer Singapore, 2018, 4(2020), 1 vom: 24. Nov., Seite 107-122 |
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| Übergeordnetes Werk: |
volume:4 ; year:2020 ; number:1 ; day:24 ; month:11 ; pages:107-122 |
| Links: |
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| DOI / URN: |
10.1007/s42398-020-00148-4 |
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| Katalog-ID: |
SPR043467857 |
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| 520 | |a Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. | ||
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| 650 | 4 | |a Hydrochemical facies |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Wilcox diagram |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Gugulothu, Sakram |e verfasserin |4 aut | |
| 700 | 1 | |a Dhakate, Ratnakar |e verfasserin |4 aut | |
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10.1007/s42398-020-00148-4 doi (DE-627)SPR043467857 (DE-599)SPRs42398-020-00148-4-e (SPR)s42398-020-00148-4-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Katla, Shankaraiah verfasserin aut Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. Major ions (dpeaa)DE-He213 Hydrochemical facies (dpeaa)DE-He213 Groundwater (dpeaa)DE-He213 Piper plot (dpeaa)DE-He213 Wilcox diagram (dpeaa)DE-He213 Gugulothu, Sakram verfasserin aut Dhakate, Ratnakar verfasserin aut Enthalten in Environmental sustainability Singapore : Springer Singapore, 2018 4(2020), 1 vom: 24. Nov., Seite 107-122 (DE-627)1024438783 (DE-600)2932787-8 2523-8922 nnns volume:4 year:2020 number:1 day:24 month:11 pages:107-122 https://dx.doi.org/10.1007/s42398-020-00148-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 24 11 107-122 |
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10.1007/s42398-020-00148-4 doi (DE-627)SPR043467857 (DE-599)SPRs42398-020-00148-4-e (SPR)s42398-020-00148-4-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Katla, Shankaraiah verfasserin aut Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. Major ions (dpeaa)DE-He213 Hydrochemical facies (dpeaa)DE-He213 Groundwater (dpeaa)DE-He213 Piper plot (dpeaa)DE-He213 Wilcox diagram (dpeaa)DE-He213 Gugulothu, Sakram verfasserin aut Dhakate, Ratnakar verfasserin aut Enthalten in Environmental sustainability Singapore : Springer Singapore, 2018 4(2020), 1 vom: 24. Nov., Seite 107-122 (DE-627)1024438783 (DE-600)2932787-8 2523-8922 nnns volume:4 year:2020 number:1 day:24 month:11 pages:107-122 https://dx.doi.org/10.1007/s42398-020-00148-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 24 11 107-122 |
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10.1007/s42398-020-00148-4 doi (DE-627)SPR043467857 (DE-599)SPRs42398-020-00148-4-e (SPR)s42398-020-00148-4-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Katla, Shankaraiah verfasserin aut Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. Major ions (dpeaa)DE-He213 Hydrochemical facies (dpeaa)DE-He213 Groundwater (dpeaa)DE-He213 Piper plot (dpeaa)DE-He213 Wilcox diagram (dpeaa)DE-He213 Gugulothu, Sakram verfasserin aut Dhakate, Ratnakar verfasserin aut Enthalten in Environmental sustainability Singapore : Springer Singapore, 2018 4(2020), 1 vom: 24. Nov., Seite 107-122 (DE-627)1024438783 (DE-600)2932787-8 2523-8922 nnns volume:4 year:2020 number:1 day:24 month:11 pages:107-122 https://dx.doi.org/10.1007/s42398-020-00148-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 24 11 107-122 |
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10.1007/s42398-020-00148-4 doi (DE-627)SPR043467857 (DE-599)SPRs42398-020-00148-4-e (SPR)s42398-020-00148-4-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Katla, Shankaraiah verfasserin aut Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. Major ions (dpeaa)DE-He213 Hydrochemical facies (dpeaa)DE-He213 Groundwater (dpeaa)DE-He213 Piper plot (dpeaa)DE-He213 Wilcox diagram (dpeaa)DE-He213 Gugulothu, Sakram verfasserin aut Dhakate, Ratnakar verfasserin aut Enthalten in Environmental sustainability Singapore : Springer Singapore, 2018 4(2020), 1 vom: 24. Nov., Seite 107-122 (DE-627)1024438783 (DE-600)2932787-8 2523-8922 nnns volume:4 year:2020 number:1 day:24 month:11 pages:107-122 https://dx.doi.org/10.1007/s42398-020-00148-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 24 11 107-122 |
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10.1007/s42398-020-00148-4 doi (DE-627)SPR043467857 (DE-599)SPRs42398-020-00148-4-e (SPR)s42398-020-00148-4-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Katla, Shankaraiah verfasserin aut Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. Major ions (dpeaa)DE-He213 Hydrochemical facies (dpeaa)DE-He213 Groundwater (dpeaa)DE-He213 Piper plot (dpeaa)DE-He213 Wilcox diagram (dpeaa)DE-He213 Gugulothu, Sakram verfasserin aut Dhakate, Ratnakar verfasserin aut Enthalten in Environmental sustainability Singapore : Springer Singapore, 2018 4(2020), 1 vom: 24. Nov., Seite 107-122 (DE-627)1024438783 (DE-600)2932787-8 2523-8922 nnns volume:4 year:2020 number:1 day:24 month:11 pages:107-122 https://dx.doi.org/10.1007/s42398-020-00148-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 24 11 107-122 |
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Enthalten in Environmental sustainability 4(2020), 1 vom: 24. Nov., Seite 107-122 volume:4 year:2020 number:1 day:24 month:11 pages:107-122 |
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Katla, Shankaraiah @@aut@@ Gugulothu, Sakram @@aut@@ Dhakate, Ratnakar @@aut@@ |
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The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. 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Katla, Shankaraiah |
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Katla, Shankaraiah ddc 333.7 misc Major ions misc Hydrochemical facies misc Groundwater misc Piper plot misc Wilcox diagram Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India |
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333.7 ASE Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India Major ions (dpeaa)DE-He213 Hydrochemical facies (dpeaa)DE-He213 Groundwater (dpeaa)DE-He213 Piper plot (dpeaa)DE-He213 Wilcox diagram (dpeaa)DE-He213 |
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ddc 333.7 misc Major ions misc Hydrochemical facies misc Groundwater misc Piper plot misc Wilcox diagram |
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Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India |
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Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India |
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Katla, Shankaraiah Gugulothu, Sakram Dhakate, Ratnakar |
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spatial assessment of major ion geochemistry in the groundwater around suryapet region, southern telangana, india |
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Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India |
| abstract |
Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. |
| abstractGer |
Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. |
| abstract_unstemmed |
Abstract Twenty-two groundwater samples were picked up from the bore wells during the pre and post-monsoon seasons in and around the Suryapet region of the southern Telangana State, India. The samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), nitrates ($ NO_{3} $−), sulfates ($ SO_{4} $2−), carbonates ($ CO_{3} $−), bicarbonates ($ HCO_{3} $−), total hardness (TH), calcium ($ Ca^{2+} $), magnesium ($ Mg^{2+} $), chloride ($ Cl^{−} $), sodium ($ Na^{+} $), potassium ($ K^{+} $) and fluoride ($ F^{−} $) to study the geochemistry of groundwater available in that region. EC concentration ranges from 570–5200 µS/cm and 640–4800 µS/cm with an average value of 2238.64 µS/cm and 1981.8 µS/cm for pre and post-monsoon seasons respectively. Wilcox classification indicates that the groundwater samples of pre and post-monsoon times showed low sodium hazard (S1–C1) as of 86% and 91% respectively, and moderate to high in salinity risk (C2–C3) for maximum samples. Piper trilinear plot was made to detect hydro-chemical facies by utilizing major anions and cations concentrations. Maximum of the samples belong to $ Ca^{2+} $–$ Mg^{2+} $–$ Cl^{−} $–$ SO_{4} $2− and $ Na^{+} $–$ Cl^{−} $–$ SO_{4} $2− hydro-chemical facies. Besides this, the Principal Component Analysis (PCA) was carried out to understand the geochemistry of groundwater. The quality of the groundwater system is of high apprehension as potable water desires to have sustainable mineral content. |
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| title_short |
Spatial assessment of major ion geochemistry in the groundwater around Suryapet Region, Southern Telangana, India |
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https://dx.doi.org/10.1007/s42398-020-00148-4 |
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Gugulothu, Sakram Dhakate, Ratnakar |
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| doi_str |
10.1007/s42398-020-00148-4 |
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2024-07-03T18:52:10.582Z |
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| score |
7.401087 |