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Adsorptive Removal of Manganese,Arsenic and Iron from Groundwater - UNESCO-IHE PhD Thesis (Hardcover) Loot Price: R5,815
Discovery Miles 58 150
Adsorptive Removal of Manganese,Arsenic and Iron from Groundwater - UNESCO-IHE PhD Thesis (Hardcover): Richard Buamah

Adsorptive Removal of Manganese,Arsenic and Iron from Groundwater - UNESCO-IHE PhD Thesis (Hardcover)

Richard Buamah

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Loot Price R5,815 Discovery Miles 58 150 | Repayment Terms: R545 pm x 12*

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Day-to-day water management is challenged by meteorological extremes, causing floods and droughts. Often operational water managers are informed too late about these upcoming events to be able to respond and mitigate their effects, such as by taking flood control measures or even requiring evacuation of local inhabitants. Therefore, the use of weather forecast information with hydrological models can be invaluable for the operational water manager to expand the forecast horizon and to have time to take appropriate action. This is called Anticipatory Water Management. Anticipatory actions may have adverse effects, such as when flood control actions turn out to have been unnecessary, because the actual rainfall was less than predicted. Therefore the uncertainty of the forecasts and the associated risks of applying Anticipatory Water Management have to be assessed. To facilitate this assessment, meteorological institutes are providing ensemble predictions to estimate the dynamic uncertainty of weather forecasts. This dissertation presents ways of improving the end-use of ensemble predictions in Anticipatory Water Management.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: October 2017
First published: 2010
Authors: Richard Buamah
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
ISBN-13: 978-1-138-47469-7
Categories: Books > Professional & Technical > Civil engineering, surveying & building > General
Books > Professional & Technical > Environmental engineering & technology > General
Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > Water industries
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LSN: 1-138-47469-X
Barcode: 9781138474697

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