Salinization is one of the major problems of irrigated agriculture in arid and semi-arid areas, affecting productivity of agricultural lands. Managing salinity to minimize its environmental impact is a pre-requisite for the long-term sustainability of irrigated agriculture. Major objectives of this study were to assess the level of salinity in Sego irrigated farm in Ethiopia and to map temporal and spatial distribution of salt affected soils to aid in salinity management. Validation of the models was made to test their predication capability and the overlay model revealed better correlation coefficient of 68.0% to the measured ECe. The map of salt affected soils derived from the overlay salinity model was used to assess distribution of salt affected soils with respect to water table and soil type. Most of the salt affected areas was on shallow water table where the strongly saline soil accounting for 2.8% on the shallow water table. The distribution of salt affected areas with respect to soil type showed Cambisols and Fluvisols were greatly affected by salinity where Salonchaks and Solonetz were on salt affected areas.
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K. V. Suryabhagavan is an Associate Professor at the Remote sensing and GIS centre, School of Earth Sciences, College of Natural Sciences, Addis Ababa University, Addis Ababa. He mainly deals with studies on application of remote sensing for geology, climate change, and vegetation dynamics.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Salinization is one of the major problems of irrigated agriculture in arid and semi-arid areas, affecting productivity of agricultural lands. Managing salinity to minimize its environmental impact is a pre-requisite for the long-term sustainability of irrigated agriculture. Major objectives of this study were to assess the level of salinity in Sego irrigated farm in Ethiopia and to map temporal and spatial distribution of salt affected soils to aid in salinity management. Validation of the models was made to test their predication capability and the overlay model revealed better correlation coefficient of 68.0% to the measured ECe. The map of salt affected soils derived from the overlay salinity model was used to assess distribution of salt affected soils with respect to water table and soil type. Most of the salt affected areas was on shallow water table where the strongly saline soil accounting for 2.8% on the shallow water table. The distribution of salt affected areas with respect to soil type showed Cambisols and Fluvisols were greatly affected by salinity where Salonchaks and Solonetz were on salt affected areas. 76 pp. Englisch. Bestandsnummer des Verkäufers 9783659859618
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suryabhagavan K. V.K. V. Suryabhagavan is an Associate Professor at the Remote sensing and GIS centre, School of Earth Sciences, College of Natural Sciences, Addis Ababa University, Addis Ababa. He mainly deals with studies on applic. Bestandsnummer des Verkäufers 158248388
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Salinization is one of the major problems of irrigated agriculture in arid and semi-arid areas, affecting productivity of agricultural lands. Managing salinity to minimize its environmental impact is a pre-requisite for the long-term sustainability of irrigated agriculture. Major objectives of this study were to assess the level of salinity in Sego irrigated farm in Ethiopia and to map temporal and spatial distribution of salt affected soils to aid in salinity management. Validation of the models was made to test their predication capability and the overlay model revealed better correlation coefficient of 68.0% to the measured ECe. The map of salt affected soils derived from the overlay salinity model was used to assess distribution of salt affected soils with respect to water table and soil type. Most of the salt affected areas was on shallow water table where the strongly saline soil accounting for 2.8% on the shallow water table. The distribution of salt affected areas with respect to soil type showed Cambisols and Fluvisols were greatly affected by salinity where Salonchaks and Solonetz were on salt affected areas.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Bestandsnummer des Verkäufers 9783659859618
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Salinization is one of the major problems of irrigated agriculture in arid and semi-arid areas, affecting productivity of agricultural lands. Managing salinity to minimize its environmental impact is a pre-requisite for the long-term sustainability of irrigated agriculture. Major objectives of this study were to assess the level of salinity in Sego irrigated farm in Ethiopia and to map temporal and spatial distribution of salt affected soils to aid in salinity management. Validation of the models was made to test their predication capability and the overlay model revealed better correlation coefficient of 68.0% to the measured ECe. The map of salt affected soils derived from the overlay salinity model was used to assess distribution of salt affected soils with respect to water table and soil type. Most of the salt affected areas was on shallow water table where the strongly saline soil accounting for 2.8% on the shallow water table. The distribution of salt affected areas with respect to soil type showed Cambisols and Fluvisols were greatly affected by salinity where Salonchaks and Solonetz were on salt affected areas. Bestandsnummer des Verkäufers 9783659859618
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Taschenbuch. Zustand: Neu. Use of Geospatial Technology to Model Salt Affected Areas | a case study in Sego Farm, Southern Ethiopia | K. V. Suryabhagavan (u. a.) | Taschenbuch | 76 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659859618 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103828460
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