Assessing Impacts of Climate Variability and Reforestation Activities on Water Resources in the Headwaters of the Segura River Basin (SE Spain)

Senent‐Aparicio, Javier; Liu, Sitian; Pérez‐Sánchez, Julio; López-Ballesteros, Adrián; Jimeno‐Sáez, Patricia

doi:10.3390/su10093277

Cited by 20 publications

(11 citation statements)

References 48 publications

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“…The Mann-Kendall test is one of the most widely used non-parametric tests for detecting trends in hydroclimatic series, which, contrary to parametric methods, it does not require the data to be normally distributed, requires only that it the data be independent. In addition, it has a low sensitivity to abrupt peaks due to inhomogeneous time series [43]. The presence of a statistically significant trend is evaluated using the test statistic Z.…”

Section: Trend Analysis Methodsmentioning

confidence: 99%

Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador)

Blanco-Gómez

Jimeno‐Sáez

Senent‐Aparicio

et al. 2019

Water

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This study assessed how changes in terms of temperature and precipitation might translate into changes in water availability and droughts in an area in a developing country with environmental interest. The hydrological model Soil and Water Assessment Tool (SWAT) was applied to analyze the impacts of climate change on water resources of the Guajoyo River Basin in El Salvador. El Salvador is in one of the most vulnerable regions in Latin America to the effects of climate change. The predicted future climate change by two climate change scenarios (RCP 4.5 and RCP 8.5) and five general circulation models (GCMs) were considered. A statistical analysis was performed to identify which GCM was better in terms of goodness of fit to variation in means and standard deviations of the historical series. A significant decreasing trend in precipitation and a significant increase in annual average temperatures were projected by the middle and the end of the twenty–first century. The results indicated a decreasing trend of the amount of water available and more severe droughts for future climate scenarios with respect to the base period (1975–2004). These findings will provide local water management authorities useful information in the face of climate change to help decision making.

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Section: Trend Analysis Methodsmentioning

confidence: 99%

Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador)

Blanco-Gómez

Jimeno‐Sáez

Senent‐Aparicio

et al. 2019

Water

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“…On the basis of the SWAT model, the one-factor-at-a-time method, in which one factor is fixed and the other is changed [23][24][25][26][27], was applied to quantitatively distinguish the effect of climate variability and human activities on hydrological cycles. The simulation scenarios [13,28] are shown in Table 3. In this paper, land use data in 1995 represent the land use status from 1990 to 1999, and land use data in 2015 stand for the land use status from 2005 to 2015.…”

Section: Design Of Simulation Scenariosmentioning

confidence: 99%

Quantifying the Effect of Land Use Change and Climate Variability on Green Water Resources in the Xihe River Basin, Northeast China

et al. 2019

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Based on a land use interpretation and distributed hydrological model, soil and water assessment tool (SWAT), this study simulated the hydrological cycle in Xihe River Basin in northern China. In addition, the influence of climate variability and land use change on green water resources in the basin from 1995 to 2015 was analyzed. The results show that (1) The E NS (Nash-Sutcliffe model efficiency coefficient) and R 2 (coefficient of determination) were 0.94 and 0.89, respectively, in the calibration period, and 0.89 and 0.88, respectively, in the validation period. These indicate high simulation accuracy; (2) Changes in green water flow and green water storage due to climate variability accounted for increases of 2.07 mm/a and 1.28 mm/a, respectively. The relative change rates were 0.49% and 0.9%, respectively, and the green water coefficient decreased by 1%; (3) Changes in green water flow and green water storage due to land use change accounted for increases of 69.15 mm and 48.82 mm, respectively. The relative change rates were 16.4% and 37.2%, respectively, and the green water coefficient increased by 10%; (4) Affected by both climate variability and land use change, green water resources increased by 121.3 mm and the green water coefficient increased by 9% in the Xihe River Basin. It is noteworthy that the influence of land use change was greater than that of climate variability.

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“…The cost and irregular distribution of worldwide water resources are evident. Even in parts of the planet where water resources are abundant, the problems of availability or scarcity are common due to, largely, weak water management practices and anthropic activities [2]. The development of models to study water availability is a complex task that presents a fundamental scientific challenge.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Hydrological Models for Deriving Water Resources in Peninsular Spain

et al. 2019

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Water availability is essential for the appropriate analysis of its sustainable management. We performed a comparative study of six hydrological balance models (Témez, ABCD, GR2M, AWBM, GUO-5p, and Thornthwaite-Mather) in several basins with different climatic conditions within Spain in the 1977–2010 period. We applied six statistical indices to compare the results of the models: the Akaike information criterion (AIC), the Bayesian information criterion (BIC), Nash–Sutcliffe model efficiency coefficient (NSE), coefficient of determination (R2), percent bias (PBIAS), and the relative error between observed and simulated run-off volumes (REV). Furthermore, we applied the FITEVAL software to determine the uncertainty of the model. The results show that when the catchments are more humid the obtained results are better. The GR2M model gave the best fit in peninsular Spain in a UNEP aridity index framework above 1, and NSE values above 0.75 in a 95% confidence interval classify GR2M as very good for humid watersheds. The use of REV is also a key index in the assessment of the margin of error. Flow duration curves show good performance in the probabilities of exceedance lower than 80% in wet watersheds and deviations in low streamflows account for less than 5% of the total streamflow.

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Assessing Impacts of Climate Variability and Reforestation Activities on Water Resources in the Headwaters of the Segura River Basin (SE Spain)

Cited by 20 publications

References 48 publications

Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador)

Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador)

Quantifying the Effect of Land Use Change and Climate Variability on Green Water Resources in the Xihe River Basin, Northeast China

Evaluating Hydrological Models for Deriving Water Resources in Peninsular Spain

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