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The Value of Using Hydrological Datasets for Water Allocation Decisions: Earth Observations, Hydrological Models, and Seasonal Forecasts (Paperback)
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The Value of Using Hydrological Datasets for Water Allocation Decisions: Earth Observations, Hydrological Models, and Seasonal Forecasts (Paperback)
Series: IHE Delft PhD Thesis Series
Expected to ship within 12 - 17 working days
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An increasing number of hydrological datasets from earth
observations, hydrological models and seasonal forecasts have
become available for water managers, consultants and the general
public. These datasets are state-of-the-art products which are
usually accessible online and may contribute to develop
hydrological studies and support water resources management.
However, the added value of these datasets has not been completely
explored in decision-making processes. Research studies have
assessed how well data can help in predicting climate, but there is
a lack of knowledge on how well data can help in water allocation
decisions. This work provides numerical tools, methods and results
to evaluate the value of using hydrological datasets to support
water allocation decisions at river basin and irrigation district
scale. An integrated approach is used to predict climate, improve
decisions and reduce negative impacts. Results show that investing
in hydrological data with finer spatial and temporal resolution and
longer periods of record improves water allocation decisions and
reduces agricultural production loss in large irrigation schemes.
Using river discharge data from hydrological models and global
precipitation enhances irrigation area planning when little in-situ
data is available. Moreover, using seasonal streamflow forecasts
improves available water estimates resulting in better water
allocation decisions. The framework was tested in Costa Rica,
Colombia and Australia, but can be applied in any case study around
the world.
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