2014
DOI: 10.1016/j.jhydrol.2014.06.053
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Streamflow timing of mountain rivers in Spain: Recent changes and future projections

Abstract: 13Changes in streamflow timing are studied in 27 mountain rivers in Spain, in the context of 14 climate warming. The studied rivers are characterized by a highflows period in spring due to

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Cited by 72 publications
(76 citation statements)
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“…Therefore, the prediction of the streamflows under the climate change scenarios was performed with datadriven hydrological models developed using the M5 algorithm (Quinlan, 1992). M5 has been shown to have skill in modelling daily streamflow (Solomatine and Dulal, 2003;Taghi Sattari et al, 2013), including in studies involving climate change (Muñoz-Mas et al, 2016), and it is sufficiently fast to deal proficiently with larger datasets (Quinlan, 2017) Mathematically, M5 is a kind of decision tree that, instead of assigning a single value to each terminal node, assigns a multi-linear regression model (Quinlan, 1992). Therefore, the dataset is hierarchically divided into homogeneous parts and a multi-linear model is adjusted to every part (Hettiarachchi et al, 2005).…”
Section: Hydrological Modellingmentioning
confidence: 99%
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“…Therefore, the prediction of the streamflows under the climate change scenarios was performed with datadriven hydrological models developed using the M5 algorithm (Quinlan, 1992). M5 has been shown to have skill in modelling daily streamflow (Solomatine and Dulal, 2003;Taghi Sattari et al, 2013), including in studies involving climate change (Muñoz-Mas et al, 2016), and it is sufficiently fast to deal proficiently with larger datasets (Quinlan, 2017) Mathematically, M5 is a kind of decision tree that, instead of assigning a single value to each terminal node, assigns a multi-linear regression model (Quinlan, 1992). Therefore, the dataset is hierarchically divided into homogeneous parts and a multi-linear model is adjusted to every part (Hettiarachchi et al, 2005).…”
Section: Hydrological Modellingmentioning
confidence: 99%
“…Following previous studies, the M5 hydrological models were trained by employing the daily, monthly and quarterly data lags of historical precipitation and air temperature collected at meteorological stations within or nearby the target river basins as input variables (Table 2) (Solomatine and Dulal, 2003;Taghi Sattari et al, 2013;Muñoz-Mas et al, 2016). These three groups of variables were intended to reflect the causes of peak, normal and base flows.…”
Section: Hydrological Modellingmentioning
confidence: 99%
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“…Such decrease may be related to an increase of temperatures, between 1 and 1.5 ºC for the Iberian peninsula [6], and to changes in land cover resulting from farmland abandonment [7] and increase in forest density [8]. The impact of a warming process has involved an increment of the atmospheric evaporative demand [9,10] and changes in snow accumulation and melting, facts that also explain the decrease of the streamflow, and the seasonal shifts in streamflow timing [11]. Given the strong climate seasonality in the Mediterranean region in which a strong dry season is recorded in summer coinciding with the period of higher water demand, water management is a key issue in the region.…”
Section: Introductionmentioning
confidence: 99%