Using a simple model as a tool to parameterise the SWAT model of the Xiangxi river in China

Hörmann, Georg; Köplin, Nina; Cai, Qinghua; Fohrer, Nicola

doi:10.1016/j.quaint.2008.11.007

Cited by 30 publications

(16 citation statements)

References 12 publications

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“…Flow peaks are naturally difficult to model and related to spatial and temporal rainfall representation associated with low concentration time of runoff and river basins. This difficulty was also observed by other authors, such as HÖRMANN et al (2009), SETEGN et al (2010, ANDRADE et al (2013).…”

Section: Resultssupporting

confidence: 82%

Hydrological simulation using SWAT model in headwater basin in Southeast Brazil

Pereira¹,

Martinez²,

Almeida³

et al. 2014

Eng. Agríc.

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-1995 a 31-12-2000 e 1º-1-2001 a 20-12-2013, para a calibração e validação, respectivamente. A avaliação do desempenho do modelo foi realizada usando os coeficientes de Nash-Sutcliffe (E NS ) e percentual de viés (P BIAS ). Também foram feitas avaliações do SWAT na simulação das seguintes variáveis hidrológicas: vazões máximas e mínimas diárias anuais; e vazões mínimas de referência Q 90 e Q 95 , com base no erro médio absoluto. Os valores de E NS e P BIAS foram de 0,65 e 7.2% e 0,70 e 14.1%, na calibração e na validação, respectivamente, indicando desempenho satisfatório do modelo. O SWAT simulou adequadamente as vazões mínimas diárias anuais e as de referência para outorga Q 90 e Q 95 e não foi adequado na simulação das vazões máximas diárias anuais.

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Section: Resultssupporting

confidence: 82%

Hydrological simulation using SWAT model in headwater basin in Southeast Brazil

Pereira¹,

Martinez²,

Almeida³

et al. 2014

Eng. Agríc.

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show abstract

“…Climate models estimate [2][3][4][5][6][7][8] that the global average temperature is likely to increase 4.0 • C by the conclusion of the 21st century [9]. Reliable prediction of climate is pre-requisite to comprehend its impacts on hydrology and water resources [10].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Climate Change Impact on Reservoir Inflows Using Multi Climate-Models under RCPs—The Case of Mangla Dam in Pakistan

Babur

Babel

Shrestha

et al. 2016

Water

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Assessment of climate change on reservoir inflow is important for water and power stressed countries. Projected climate is subject to uncertainties related to climate change scenarios and Global Circulation Models (GCMs). This paper discusses the consequences of climate change on discharge. Historical climatic and gauging data were collected from different stations within a watershed. Bias correction was performed on GCMs temperature and precipitation data. After successful development of the hydrological modeling system (SWAT) for the basin, streamflow was simulated for three future periods (2011-2040, 2041-2070, and 2071-2100) and compared with the baseline data to explore the changes in different flow indicators such as mean flow, low flow, median flow, high flow, flow duration curves, temporal shift in peaks, and temporal shifts in center-of-volume dates. From the results obtained, an overall increase in mean annual flow was projected in the basin under both RCP 4.5 and RCP 8.5 scenarios. Winter and spring showed a noticeable increase in streamflow, while summer and autumn showed a decrease in streamflow. High flows were predicted to increase, but median flow was projected to decrease in the future under both scenarios. Flow duration curves showed that the probability of occurrence of high flow is likely to be more in the future. It was also noted that peaks were predicted to shift from May to July in the future, and the center-of-volume date of the annual flow may vary from −11 to 23 days in the basin, under both RCP 4.5 and RCP 8.5. As a whole, the Mangla basin will face more floods and less droughts in the future due to the projected increase in high and low flows, decrease in median flows and greater temporal and magnitudinal variations in peak flows. These outcomes suggest that it is important to consider the influence of climate change on water resources to frame appropriate guidelines for planning and management.

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“…The model stands out among other hydrological models with wide utility and great flexibility in simulation. It was calibrated and used by several authors for hydrological simulations in several river basins in the world (Githui et al, 2009;Hörmann et al, 2009;Sexton et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Impacts of deforestation on water balance components of a watershed on the Brazilian East Coast

Pereira

Almeida

Martinez

et al. 2014

Rev. Bras. Ciênc. Solo

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SUMMARYThe Brazilian East coast was intensely affected by deforestation, which drastically cut back the original biome. The possible impacts of this process on water resources are still unknown. The purpose of this study was an evaluation of the impacts of deforestation on the main water balance components of the Galo creek watershed, in the State of Espírito Santo, on the East coast of Brazil. Considering the real conditions of the watershed, the SWAT model was calibrated with data from 1997 to 2000 and validated for the period between 2001 and 2003. The calibration and validation processes were evaluated by the Nash-Sutcliffe efficiency coefficient and by the statistical parameters (determination coefficient, slope coefficient and F test) of the regression model adjusted for estimated and measured flow data. After calibration and validation of the model, new simulations were carried out for three different land use scenarios: a scenario in compliance with the law (C1), assuming the preservation of PPAs (permanent preservation areas); an optimistic scenario (C2), which considers the watershed to be almost entirely covered by native vegetation; and a pessimistic scenario (C3), in which the watershed would be almost entirely covered by pasture. The scenarios C1, C2 and C3 represent a soil cover of native forest of 76, 97 and 0 %, respectively. The results were compared with the simulation, considering the real scenario (C0) with 54 % forest cover. The NashSutcliffe coefficients were 0.65 and 0.70 for calibration and validation, respectively, indicating satisfactory results in the flow simulation. A mean reduction of 10 % of the native forest cover would cause a mean annual increase A costa leste brasileira passou por vasto processo de desmatamento, reduzindo drasticamente seu bioma original. Os possíveis impactos desse processo sobre os recursos hídricos ainda são desconhecidos. Objetivou-se com este trabalho avaliar os impactos do desmatamento sobre os principais componentes do balanço hídrico da bacia hidrográfica do córrego do Galo, ES, localizada na costa leste do Brasil. Para as condições atuais da bacia, o modelo SWAT foi calibrado, no período entre 1997 e 2000, e validado, entre 2001 e 2003. Os processos de calibração e validação foram avaliados pelo coeficiente de Nash-Sutcliffe e pelos parâmetros estatísticos (coeficiente de determinação, coeficiente angular e teste F) da regressão ajustada entre a vazão medida e estimada. Depois do modelo calibrado e validado, novas simulações foram realizadas, considerando três cenários distintos de uso do solo: o legalmente ideal (C1), que leva em consideração a preservação em áreas de APPs; o otimista (C2), que considera a bacia em quase sua totalidade preservada por vegetação nativa; e o pessimista (C3), que considera a bacia coberta em quase sua totalidade por pastagem; o que corresponde a 76, 97 e 0 % de cobertura florestal nativa. Os resultados foram comparados com a simulação realizada com o cenário atual (C0), com 54 % da área coberta com floresta. Os valores d...

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Using a simple model as a tool to parameterise the SWAT model of the Xiangxi river in China

Cited by 30 publications

References 12 publications

Hydrological simulation using SWAT model in headwater basin in Southeast Brazil

Hydrological simulation using SWAT model in headwater basin in Southeast Brazil

Assessment of Climate Change Impact on Reservoir Inflows Using Multi Climate-Models under RCPs—The Case of Mangla Dam in Pakistan

Impacts of deforestation on water balance components of a watershed on the Brazilian East Coast

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