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Karolína Bílá
We attempt here to review recent studies focusing on droughts and hydrology in the ?umava Mts. The main question is can bark beetles affect water regimes in forest and what kind of measures might be taken ? if any ? to prevent bark beetle attacks. We com...
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David Kemp and Guna Hewa Alankarage
In the field of hydrology, event-based models are commonly used for flood-flow prediction in catchments, for use in flood forecasting, flood risk assessment, and infrastructure design. The models are simplistic, as they do not consider longer-term catchm...
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Rowena Harrison, Johan van Tol and Philippe Amiotte Suchet
It has long been recognised that the role of soils is critical to the understanding of the way catchments store and release water. This study aimed to gain an understanding of the hydropedological characteristics and flow dynamics of the soils of three m...
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Héctor Moya, Ingrid Althoff, Carlos Huenchuleo and Paolo Reggiani
During recent decades, the South-Central part of Chile has shown strong vulnerability due to the effects of land use change (LUC). The interaction of these changes with local hydrology has not been adequately investigated and is poorly understood, especi...
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Rebecca M.E. Williams,B.M. Hynek
Pág. 147 - 168
Punctuated lake level drops at Lake General Carrera, Chile, over the last ~13 ka are recorded in multiple stacked deltas that differ in scale. Fifteen delta terrace suites are studied to examine the factors that influence deposit morphology. Surprisingly...
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Raúl F. Vázquez, Josué E. Brito, Henrietta Hampel and Stephen Birkinshaw
Despite recent progress in terms of cheap computing power, the application of physically-based distributed (PBD) hydrological codes still remains limited, particularly, because some commercial-license codes are expensive, even under academic terms. Thus,...
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Salam A. Abbas, Yunqing Xuan and Ryan T. Bailey
In this article, we present the use of the coupled land surface model and groundwater flow model SWAT-MODFLOW with the decision support tool WEAP (Water Evaluation and Planning software) to predict future surface-water abstraction scenarios in a complex ...
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Evangelos Rozos, Panayiotis Dimitriadis and Vasilis Bellos
Machine learning has been employed successfully as a tool virtually in every scientific and technological field. In hydrology, machine learning models first appeared as simple feed-forward networks that were used for short-term forecasting, and have evol...
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Elisa Mammoliti, Davide Fronzi, Costanza Cambi, Francesco Mirabella, Carlo Cardellini, Emiliano Patacchiola, Alberto Tazioli, Stefano Caliro and Daniela Valigi
Carbonate aquifers are characterised by strong heterogeneities and their modelling is often a challenging aspect in hydrological studies. Understanding carbonate aquifers can be more complicated in the case of strong seismic events which have been widely...
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Hernán D. Salas, Juliana Valencia, Alejandro Builes-Jaramillo and Alejandro Jaramillo
The synoptic mode of variability (SMV) refers to changes in atmospheric conditions over periods ranging from 2 to 10 days. In tropical regions, this variability is driven by tropical waves that have a clear signal on the wavenumber?frequency power spectr...
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