Playa-Lakes and Yardangs in the Bujaraloz-Sástago Endorheic Area, Central Ebro Basin

Recent Salt Sedimentation in Playa Lakes of Ebro Basin, Spain: ABSTRACT

AAPG Bulletin ◽

10.1306/2f9183ba-16ce-11d7-8645000102c1865d ◽

1979 ◽

Vol 63 ◽

Author(s):

Martin F. Mingarro, S. Ordonez Delg

Keyword(s):

Ebro Basin ◽

Playa Lakes

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Zooplankton of reservoirs from the River Ebro basin (Spain): Relationships with some physical, chemical and biological features

SIL Proceedings 1922-2010 ◽

10.1080/03680770.1992.11900365 ◽

1993 ◽

Vol 25 (2) ◽

pp. 1236-1241

Author(s):

J. De Manuel ◽

D. Jaume

Keyword(s):

Ebro Basin ◽

Biological Features ◽

Physical Chemical

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Reconstruction of palaeoenvironmental conditions by investigation of Holocene playa sediments in the Ebro Basin, Spain: preliminary results

Geomorphology ◽

10.1016/s0169-555x(98)00009-9 ◽

1998 ◽

Vol 23 (2-4) ◽

pp. 273-283 ◽

Cited By ~ 23

Author(s):

Brigitta Schütt

Keyword(s):

Ebro Basin ◽

Preliminary Results ◽

Palaeoenvironmental Conditions

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Pleistocene Terraces of the Alto Henares (Guadalajara), Spain

Quaternary Research ◽

10.1016/0033-5894(72)90086-5 ◽

1972 ◽

Vol 2 (4) ◽

pp. 473-486 ◽

Cited By ~ 1

Author(s):

Bruce G. Gladfelter

Keyword(s):

Radiocarbon Dating ◽

Drainage System ◽

Middle Pleistocene ◽

Ebro Basin ◽

Lower Paleolithic ◽

Lower Pleistocene

A suite of four terraces in the upper Rio Henares drainage system (Rio Tajo basin) now provides a partial geomorphological link between the Middle Pleistocene, Lower Paleolithic archeological sites at Ambrona and Torralba (upper Ebro basin) and those in the vicinity of Madrid. The Campiña and Low Terrace features are shown by radiocarbon dating to be of Holocene and Würm ages, respectively, while the Middle and High Terraces are best designated as being Middle and Lower Pleistocene ages, respectively. Stratigraphic relationships between the upper and lower Rio Henares segments need to be established.

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The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets

Hydrology and Earth System Sciences ◽

10.5194/hess-21-4747-2017 ◽

2017 ◽

Vol 21 (9) ◽

pp. 4747-4765 ◽

Cited By ~ 8

Author(s):

Clara Linés ◽

Micha Werner ◽

Wim Bastiaanssen

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Data Sets ◽

Drought Management ◽

Ebro Basin ◽

Sensing Data ◽

Drought Impacts ◽

Management Plans ◽

Drought Indicators ◽

Selection Of

Abstract. The implementation of drought management plans contributes to reduce the wide range of adverse impacts caused by water shortage. A crucial element of the development of drought management plans is the selection of appropriate indicators and their associated thresholds to detect drought events and monitor the evolution. Drought indicators should be able to detect emerging drought processes that will lead to impacts with sufficient anticipation to allow measures to be undertaken effectively. However, in the selection of appropriate drought indicators, the connection to the final impacts is often disregarded. This paper explores the utility of remotely sensed data sets to detect early stages of drought at the river basin scale and determine how much time can be gained to inform operational land and water management practices. Six different remote sensing data sets with different spectral origins and measurement frequencies are considered, complemented by a group of classical in situ hydrologic indicators. Their predictive power to detect past drought events is tested in the Ebro Basin. Qualitative (binary information based on media records) and quantitative (crop yields) data of drought events and impacts spanning a period of 12 years are used as a benchmark in the analysis. Results show that early signs of drought impacts can be detected up to 6 months before impacts are reported in newspapers, with the best correlation–anticipation relationships for the standard precipitation index (SPI), the normalised difference vegetation index (NDVI) and evapotranspiration (ET). Soil moisture (SM) and land surface temperature (LST) offer also good anticipation but with weaker correlations, while gross primary production (GPP) presents moderate positive correlations only for some of the rain-fed areas. Although classical hydrological information from water levels and water flows provided better anticipation than remote sensing indicators in most of the areas, correlations were found to be weaker. The indicators show a consistent behaviour with respect to the different levels of crop yield in rain-fed areas among the analysed years, with SPI, NDVI and ET providing again the stronger correlations. Overall, the results confirm remote sensing products' ability to anticipate reported drought impacts and therefore appear as a useful source of information to support drought management decisions.

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