Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India
Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Dash, Sushree Sangita [verfasserIn] Paul, Jagadish Chandra [verfasserIn] Panigrahi, Balram [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© Saudi Society for Geosciences 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Arabian journal of geosciences - Berlin : Springer, 2008, 14(2021), 21 vom: 25. Okt. |
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| Übergeordnetes Werk: |
volume:14 ; year:2021 ; number:21 ; day:25 ; month:10 |
| Links: |
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| DOI / URN: |
10.1007/s12517-021-08493-2 |
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| Katalog-ID: |
SPR045387532 |
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| 520 | |a Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. | ||
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10.1007/s12517-021-08493-2 doi (DE-627)SPR045387532 (SPR)s12517-021-08493-2-e DE-627 ger DE-627 rakwb eng 550 ASE Dash, Sushree Sangita verfasserin aut Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. Soil erosion (dpeaa)DE-He213 RUSLE (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Site suitability analysis (dpeaa)DE-He213 Soil and water conservation (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Paul, Jagadish Chandra verfasserin aut Panigrahi, Balram verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 21 vom: 25. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:21 day:25 month:10 https://dx.doi.org/10.1007/s12517-021-08493-2 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 14 2021 21 25 10 |
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10.1007/s12517-021-08493-2 doi (DE-627)SPR045387532 (SPR)s12517-021-08493-2-e DE-627 ger DE-627 rakwb eng 550 ASE Dash, Sushree Sangita verfasserin aut Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. Soil erosion (dpeaa)DE-He213 RUSLE (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Site suitability analysis (dpeaa)DE-He213 Soil and water conservation (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Paul, Jagadish Chandra verfasserin aut Panigrahi, Balram verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 21 vom: 25. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:21 day:25 month:10 https://dx.doi.org/10.1007/s12517-021-08493-2 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 14 2021 21 25 10 |
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10.1007/s12517-021-08493-2 doi (DE-627)SPR045387532 (SPR)s12517-021-08493-2-e DE-627 ger DE-627 rakwb eng 550 ASE Dash, Sushree Sangita verfasserin aut Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. Soil erosion (dpeaa)DE-He213 RUSLE (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Site suitability analysis (dpeaa)DE-He213 Soil and water conservation (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Paul, Jagadish Chandra verfasserin aut Panigrahi, Balram verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 21 vom: 25. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:21 day:25 month:10 https://dx.doi.org/10.1007/s12517-021-08493-2 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 14 2021 21 25 10 |
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10.1007/s12517-021-08493-2 doi (DE-627)SPR045387532 (SPR)s12517-021-08493-2-e DE-627 ger DE-627 rakwb eng 550 ASE Dash, Sushree Sangita verfasserin aut Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. Soil erosion (dpeaa)DE-He213 RUSLE (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Site suitability analysis (dpeaa)DE-He213 Soil and water conservation (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Paul, Jagadish Chandra verfasserin aut Panigrahi, Balram verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 21 vom: 25. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:21 day:25 month:10 https://dx.doi.org/10.1007/s12517-021-08493-2 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 14 2021 21 25 10 |
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10.1007/s12517-021-08493-2 doi (DE-627)SPR045387532 (SPR)s12517-021-08493-2-e DE-627 ger DE-627 rakwb eng 550 ASE Dash, Sushree Sangita verfasserin aut Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. Soil erosion (dpeaa)DE-He213 RUSLE (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Site suitability analysis (dpeaa)DE-He213 Soil and water conservation (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Paul, Jagadish Chandra verfasserin aut Panigrahi, Balram verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 21 vom: 25. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:21 day:25 month:10 https://dx.doi.org/10.1007/s12517-021-08493-2 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 14 2021 21 25 10 |
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Enthalten in Arabian journal of geosciences 14(2021), 21 vom: 25. Okt. volume:14 year:2021 number:21 day:25 month:10 |
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Dash, Sushree Sangita @@aut@@ Paul, Jagadish Chandra @@aut@@ Panigrahi, Balram @@aut@@ |
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Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. 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Dash, Sushree Sangita |
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Dash, Sushree Sangita ddc 550 misc Soil erosion misc RUSLE misc AHP misc Site suitability analysis misc Soil and water conservation misc GIS Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India |
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550 ASE Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India Soil erosion (dpeaa)DE-He213 RUSLE (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Site suitability analysis (dpeaa)DE-He213 Soil and water conservation (dpeaa)DE-He213 GIS (dpeaa)DE-He213 |
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ddc 550 misc Soil erosion misc RUSLE misc AHP misc Site suitability analysis misc Soil and water conservation misc GIS |
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ddc 550 misc Soil erosion misc RUSLE misc AHP misc Site suitability analysis misc Soil and water conservation misc GIS |
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Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India |
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Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India |
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assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using gis - a case study of altuma catchment of brahmani river basin, odisha, india |
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Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India |
| abstract |
Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. © Saudi Society for Geosciences 2021 |
| abstractGer |
Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. © Saudi Society for Geosciences 2021 |
| abstract_unstemmed |
Abstract Soil erosion is one of the major natural hazards worldwide. Approximately 53% of India’s total area suffers from severe soil erosion and other forms of depletion. Water-borne soil erosion is the biggest cause of land depletion. The assessment of soil erosion, identifying areas vulnerable to erosion, and locating suitable conservation structures are therefore highly relevant for agricultural planning and numerous other land planning activities to overcome environmental concerns worldwide. In this study, average annual soil loss in Altuma watershed, a sub-basin of the Brahmani river basin in the Odisha state of India, is assessed by implementing an empirically well-known technique, i.e., revised universal soil loss equation (RUSLE). It is conducted using a comprehensive approach to prioritize the watershed and demarcation suitable conservation measures by incorporating Remote Sensing (RS) and Geographic Information System (GIS) for its holistic development. Results indicated that, the average and maximum rate of soil loss were valued as 33.19 t $ ha^{−1} $ $ yr^{−1} $ and 3510.62 t $ ha^{−1} $ $ yr^{−1} $, respectively. The gross soil erosion was found to be 4.42 million t $ yr^{−1} $. It was observed that the majority (about 58.49%) of the watershed with the gentle slope covered by ferric luvisols and dystric nitosols experiences less than 5 t $ ha^{−1} $ $ yr^{−1} $ soil erosion. Site suitability analysis for conservation measures in the watershed was performed using an analytical hierarchy process (AHP) through weighted overlay analysis considering the parameters such as slope, soil texture, drainage density, runoff, and land use. The Boolean algebra technique was used to identify appropriate sites for various soil and water conservation structures like check dam, farm pond, percolation pond, and gully plugs by following the guidelines of the Integrated Mission for Sustainable Development (IMSD) given by NRSA, Hyderabad. This study suggests using AHP and Boolean logic as a good estimator for selecting the optimal conservation locations because it is simple and less time consuming. Administrative agencies can incorporate it to implement conservative actions to combat erosion in that area. © Saudi Society for Geosciences 2021 |
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| title_short |
Assessing soil erosion vulnerability and locating suitable conservation structures for agricultural planning using GIS - a case study of Altuma catchment of Brahmani river Basin, Odisha, India |
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https://dx.doi.org/10.1007/s12517-021-08493-2 |
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Paul, Jagadish Chandra Panigrahi, Balram |
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10.1007/s12517-021-08493-2 |
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|
| score |
7.397315 |