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Juan B. Valdés

Researcher at University of Arizona

Publications -  136
Citations -  5456

Juan B. Valdés is an academic researcher from University of Arizona. The author has contributed to research in topics: Precipitation & Water resources. The author has an hindex of 35, co-authored 136 publications receiving 5092 citations. Previous affiliations of Juan B. Valdés include NASA Headquarters & United States Army Corps of Engineers.

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Rectangular pulses point process models for rainfall: Analysis of empirical data

TL;DR: In this article, a detailed analysis of some rainfall data from Denver, Colorado, is carried out at different levels of aggregation which range from 1 to 24 hours, and two classes of models are then fitted to the data; in the first class of models, storm events arise in a Poisson process, each such event being associated with a period of rainfall of random duration and constant but random intensity.
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Water governance in Chile: Availability, management and climate change

TL;DR: In this paper, the authors describe and analyze the spatial and temporal distribution patterns, as well as the management of water resources, along a country with a narrow distance from the Andes Mountains to the Pacific Ocean.
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Modeling climate change impacts – and uncertainty – on the hydrology of a riparian system: The San Pedro Basin (Arizona/Sonora)

TL;DR: In this paper, an assessment of climate change impacts in the water resources of a semi-arid basin in southeastern Arizona and northern Sonora is presented using results from an ensemble of 17 global circulation models (GCMs) and four different climate change scenarios from the Intergovernmental Panel on Climate Change (IPCC).
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Nonparametric Approach for Estimating Return Periods of Droughts in Arid Regions

TL;DR: In this article, a nonparametric kernel estimator was used to estimate the return period of droughts for the Conchos River Basin in Mexico, and the results showed that, for the univariate analysis, the retur...
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A Physically Based Flood Frequency Distribution

TL;DR: In this paper, the geomorphoclimatic instantaneous unit Hydrograph theory, the joint probability density function of storm duration and intensity, and Philip's representation of the infiltration process are used to derive a flood frequency distribution that could be used in regions with no streamflow records.