Simulation of stream flow and hydrological response to land-cover changes in a tropical river basin

Silva, Vicente de Paulo Rodrigues da; Singh, Vijay P.; Souza, Ênio Pereira de; Silva, Madson Tavares; Holanda, Romildo Morant de; Almeida, Rafaela Silveira Rodrigues; Sousa, Francisco de Assis Salviano de; Braga, Armando César Rodrigues

doi:10.1016/j.catena.2017.11.024

Cited by 66 publications

(16 citation statements)

References 30 publications

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“…From this perspective, some authors (Deng et al, 2015;Fan & Shibata, 2015;Neupane & Kumar, 2015;Sajikumar & Remya, 2015;Blainski et al, 2017;Gashaw et al, 2018;Zhang et al, 2018;Pereira et al, 2016;Silva et al, 2018) highlight that the land use and cover changes, mainly due to anthropic actions, on a basin have an effect on variables inherent to the water balance, such as the soil infiltration rate, the evapotranspiration, surface runoff and the water bodies recharge. Putting them all together, it's of major importance for the management of water resources to comprehend the impacts of the change of land use and cover on the basin runoff characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…They noticed, from the daily flow permanence curve, that the flowing between Q 60 (flow overcome in 60% of the time) and the Q 90 (flow overcome in 90% of the time and which represents the drought condition) was lower in the land use and cover 2012's scenario in comparison to the 1957's one. Silva et al (2018) used the SWAT model to analyze the impact of different land use and cover scenarios on the water regime of the sub-basin of the lower-middle course of São Francisco River, in the northeast region of Brazil. The analyzed scenarios were: S1 -conversion of pasture areas into caatinga (native vegetation); S2 -conversion of pasture areas for agriculture; S3 -conversion of pasture areas into exposed soil.…”

Section: Introductionmentioning

confidence: 99%

“…The analyzed scenarios were: S1 -conversion of pasture areas into caatinga (native vegetation); S2 -conversion of pasture areas for agriculture; S3 -conversion of pasture areas into exposed soil. Silva et al (2018) noticed that the flow and the debris transport augmented substantially in the S3 scenario.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of land use and cover change on Paraíba do Sul whatershed streamflow using the SWAT model

Andrade

Ribeiro

2020

RBRH

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RESUMO Este trabalho teve como objetivo avaliar os impactos das alterações do uso e cobertura do solo na bacia do rio Paraíba do Sul utilizando o modelo SWAT. Foram avaliados dois cenários de uso e cobertura do solo, um referente ao ano de 1986 e outro ao ano de 2015. Os resultados mostraram que o modelo SWAT se ajustou muito bem a bacia, após a calibração e validação. Além disso, observou-se que no cenário de 2015 a vazão de longo período, foi inferior em grande parte da área de estudo, com destaque para as sub-bacias no trecho do rio Paraibuna. Notou-se que as alterações no comportamento da curva de permanência foram mais representativas nas estações do rio Paraibuna e do rio Preto. Que na primeira, devido a diminuição da área de floresta, as condições de seca e de vazões mínimas foram intensificadas. Já na segunda, a disponibilidade hídrica melhorou no cenário de 2015, devido ao aumento da área de floresta. Por fim, os resultados aqui apresentados juntamente com o modelo SWAT calibrado podem servir de auxílio aos gestores de recursos hídricos atuantes na bacia do rio Paraíba do Sul e para futuros trabalhos que visem avaliar, também, os impactos das mudanças climáticas sobre a vazão.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impacts of land use and cover change on Paraíba do Sul whatershed streamflow using the SWAT model

Andrade

Ribeiro

2020

RBRH

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“…However, freshwater ecosystems are one of the most impacted ecosystems in the world [4]. The water quality of freshwater ecosystems can be affected by natural factors (e.g., river flow, geological topography, and rainfall intensity and frequency) [5] and human activities (e.g., water extraction, urbanization, and sewage discharge) [6] which lead to the accumulation of external inputs and pollutants, such as changes in nitrogen and phosphorus concentrations. These can be indicators for the community structure diversity and productivity of freshwater ecosystems [7].…”

Section: Introductionmentioning

confidence: 99%

Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China

Ding

Tang

et al. 2019

Sustainability

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The effects of anthropogenic land use on the water quality of reservoir-based water sources are understudied. We trained a self-organizing map (SOM) to measure the spatial pattern of nutrients over the course of a year in 61 reservoirs located in eastern China. In the linear regression model and one-way analyses of variance, we found that water quality was influenced by period of the year (flood, low, and normal periods based on rainfall conditions) and reservoir altitude (plains vs. mountains). Our results indicated that land use metrics measured in aquatic–terrestrial interfaces significantly influenced the water quality of reservoirs. The land use intensity (LUI) and the proportion of construction land had a positive correlation with ammonia nitrogen (NH3-N) and chemical oxygen demand (CODMn) concentrations, and redundancy analysis indicated that the percent of landscape (PLAND) represented by construction land was positively correlated with CODMn, NH3-N, total phosphorus (TP), and total nitrogen (TN) concentrations. The proportion of cropland was not correlated with any water quality property except for CODMn concentration. The total explained variance for water quality was highest when the scale was large (the area defined by a 1500 m radius around the reservoir), indicating that management which ensures water safety should be carried out at this scale.

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“…the rapidly growing economy and population, could strongly interfere the natural hydrological processes such as evapotranspiration (ET) and surface run-off, adding further pressure to the earth's water resources (da Silva, Silva, Singh, de Souza, & Braga, 2018;Rogger et al, 2017;Wada et al, 2017;Zhou et al, 2013). Under such background, the hydrological impacts of climate change and human activities become a hot and foreland topic in the fields of water and environmental sciences.…”

mentioning

confidence: 99%

Separating climate change and human contributions to variations in streamflow and its components using eight time‐trend methods

Zhang

Wang

et al. 2018

Hydrological Processes

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Separating impacts of human activities and climate change on hydrology is essential for watershed and ecosystem management. Many previous studies have focused on the impacts on total streamflow, however, with little attentions paid to its components (i.e., baseflow and surface run‐off). This study distinguished the contributions of climate change and human activities to the variations in streamflow, baseflow, and surface run‐off in the upstream area of the Heihe River Basin, a typical inland river basin in northwest China, by using eight different forms of time‐trend methods. The isolated contributions to streamflow variation were also compared with those obtained by two Budyko‐based approaches. Our results showed that the time‐trend methods consistently estimated positive contributions of climate variability and human activities to the increases in streamflow and its components but with obviously varying magnitudes. With regard to streamflow, the time‐trend method double‐mass‐curve–Wei, with a physical basis, produced a reasonable smaller contribution of human activities than climate changes, inconsistent with the Budyko‐based approaches. However, all the other time‐trend methods led to contrary results. The contributions to baseflow variation diverged more significantly than those to streamflow and surface run‐off, ranging from 24% to 92% for human activities and from 8% to 76% for climate variability. In terms of surface run‐off, most of the time‐trend approaches produced smaller contributions of human activities (ranging from 21% to 49%) than climate change. The uncertainties associated with the various time‐trend approaches and the baseflow separation algorithm were revealed and discussed, along with some recommendations for future work.

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Simulation of stream flow and hydrological response to land-cover changes in a tropical river basin

Cited by 66 publications

References 30 publications

Impacts of land use and cover change on Paraíba do Sul whatershed streamflow using the SWAT model

Impacts of land use and cover change on Paraíba do Sul whatershed streamflow using the SWAT model

Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China

Separating climate change and human contributions to variations in streamflow and its components using eight time‐trend methods

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