GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario
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GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario (2015)
~EN PB NWISBN: 9783659744242 bzw. 3659744247, vermutlich in Englisch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 4 - 7 Werktagen.
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario, Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. Taschenbuch, 28.11.2015.
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario, Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. Taschenbuch, 28.11.2015.
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GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario (2015)
~EN PB NWISBN: 9783659744242 bzw. 3659744247, vermutlich in Englisch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Lieferbar in 2 - 3 Tage.
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. 28.11.2015, Taschenbuch.
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. 28.11.2015, Taschenbuch.
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GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario (2015)
DE PB NW RPISBN: 9783659744242 bzw. 3659744247, in Deutsch, LAP Lambert Academic Publishing Nov 2015, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. 112 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. 112 pp. Englisch.
5
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario
~EN PB NWISBN: 9783659744242 bzw. 3659744247, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario: Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. Englisch, Taschenbuch.
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario: Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta. Englisch, Taschenbuch.
6
Symbolbild
GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario (2015)
DE PB NW RPISBN: 9783659744242 bzw. 3659744247, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
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GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario
~EN NW ABISBN: 9783659744242 bzw. 3659744247, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
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Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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