globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-4747-2017
Scopus记录号: 2-s2.0-85029928418
论文题名:
The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets
作者: Linés C; , Werner M; , Bastiaanssen W
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:9
起始页码: 4747
结束页码: 4765
语种: 英语
Scopus关键词: Agriculture ; Crops ; Drought ; Rain ; Soil moisture ; Vegetation ; Water levels ; Water management ; Water supply ; Gross primary production ; Land and water management ; Land surface temperature ; Measurement frequency ; Normalised difference vegetation index ; Positive correlations ; Remotely sensed data ; Standard precipitation indices ; Remote sensing ; crop yield ; data set ; drought ; evapotranspiration ; NDVI ; net primary production ; remote sensing ; river basin ; soil moisture ; surface temperature ; water management ; Ebro Basin ; Spain
英文摘要: 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. © Author(s) 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79049
Appears in Collections:气候变化事实与影响

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作者单位: IHE Delft, Department of Water Science and Engineering, Delft, Netherlands; Deltares, Delft, Netherlands; Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands

Recommended Citation:
Linés C,, Werner M,, Bastiaanssen W. The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets[J]. Hydrology and Earth System Sciences,2017-01-01,21(9)
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