Dwarakeswar river (also Known as Dhalkisor) is a major river in the western part of the Indian state of West Bengal. Dwarakeswar River has much sedimentation from low water (any season). In rainy seasons it is filled up with water; then huge sedimentations are blocked the channel, even near. In this study the SCS (Soil Conservation Service) was used on Upper Dwarakeswar basin. The basic objective of the present study is to derive the parameters required for runoff modeling using the remote sensing and geospatial techniques and estimated the runoff of the Upper Dwarakeswar basin. The main input data for simulation of SCS including drainage morphometry, lan use, Soil type, Soil Moisture and Hydrologic Soil Classification data, were appropriately collected. By providing all the inputs Base flow data of the watershed for model set up, SCS and AMC model was simulated for the period of 3 years (2008-2010). the model was calibrated and validated using Raster Calculator. The Regression analysis of the model to sub-basin delineation and CN values for AMC II condition definition thresholds showed that the flow is more sensitive.
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Sujoy Kanti Bhattacharjee is currently a Research Scholar at Kumaun University, Department of Geography (Remote Sensing & GIS Cell) Nainital, Uttarakhand in India. He received his Masters of Science in Geography and M.Tech in Geoinformatics. His Research interests are Geographic Information System, Remote Sensing, Hydrological Modeling,Geology,HSRS
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dwarakeswar river (also Known as Dhalkisor) is a major river in the western part of the Indian state of West Bengal. Dwarakeswar River has much sedimentation from low water (any season). In rainy seasons it is filled up with water; then huge sedimentations are blocked the channel, even near. In this study the SCS (Soil Conservation Service) was used on Upper Dwarakeswar basin. The basic objective of the present study is to derive the parameters required for runoff modeling using the remote sensing and geospatial techniques and estimated the runoff of the Upper Dwarakeswar basin. The main input data for simulation of SCS including drainage morphometry, lan use, Soil type, Soil Moisture and Hydrologic Soil Classification data, were appropriately collected. By providing all the inputs Base flow data of the watershed for model set up, SCS and AMC model was simulated for the period of 3 years (2008-2010). the model was calibrated and validated using Raster Calculator. The Regression analysis of the model to sub-basin delineation and CN values for AMC II condition definition thresholds showed that the flow is more sensitive. 112 pp. Englisch. Seller Inventory # 9783330026483
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhattacharjee Sujoy KantiSujoy Kanti Bhattacharjee is currently a Research Scholar at Kumaun University, Department of Geography (Remote Sensing & GIS Cell) Nainital, Uttarakhand in India. He received his Masters of Science in Geogra. Seller Inventory # 158122888
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dwarakeswar river (also Known as Dhalkisor) is a major river in the western part of the Indian state of West Bengal. Dwarakeswar River has much sedimentation from low water (any season). In rainy seasons it is filled up with water; then huge sedimentations are blocked the channel, even near. In this study the SCS (Soil Conservation Service) was used on Upper Dwarakeswar basin. The basic objective of the present study is to derive the parameters required for runoff modeling using the remote sensing and geospatial techniques and estimated the runoff of the Upper Dwarakeswar basin. The main input data for simulation of SCS including drainage morphometry, lan use, Soil type, Soil Moisture and Hydrologic Soil Classification data, were appropriately collected. By providing all the inputs Base flow data of the watershed for model set up, SCS and AMC model was simulated for the period of 3 years (2008-2010). the model was calibrated and validated using Raster Calculator. The Regression analysis of the model to sub-basin delineation and CN values for AMC II condition definition thresholds showed that the flow is more sensitive.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Seller Inventory # 9783330026483
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dwarakeswar river (also Known as Dhalkisor) is a major river in the western part of the Indian state of West Bengal. Dwarakeswar River has much sedimentation from low water (any season). In rainy seasons it is filled up with water; then huge sedimentations are blocked the channel, even near. In this study the SCS (Soil Conservation Service) was used on Upper Dwarakeswar basin. The basic objective of the present study is to derive the parameters required for runoff modeling using the remote sensing and geospatial techniques and estimated the runoff of the Upper Dwarakeswar basin. The main input data for simulation of SCS including drainage morphometry, lan use, Soil type, Soil Moisture and Hydrologic Soil Classification data, were appropriately collected. By providing all the inputs Base flow data of the watershed for model set up, SCS and AMC model was simulated for the period of 3 years (2008-2010). the model was calibrated and validated using Raster Calculator. The Regression analysis of the model to sub-basin delineation and CN values for AMC II condition definition thresholds showed that the flow is more sensitive. Seller Inventory # 9783330026483
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Taschenbuch. Condition: Neu. Runoff Modeling in Upper Dwarkeswar Basin, India using SCS Method | Sujoy Kanti Bhattacharjee (u. a.) | Taschenbuch | 112 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330026483 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 108251940
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