Effects of land-use and -cover changes on streamflow regime in the Brazilian Savannah

Rápalo, Luis Miguel Castillo; Uliana, Eduardo Morgan; Moreira, Michel Castro; Silva, Demétrius David da; Ribeiro, Celso Bandeira de Melo; Fantin-Cruz, Ibraim; Pereira, Donizete dos Reis

doi:10.1016/j.ejrh.2021.100934

Cited by 8 publications

(2 citation statements)

References 59 publications

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“…For Ho et al (2016), there are trends of reduced precipitation in the AW between the months of March and November, in addition to the decrease in flow, in which the researchers attributed such declines to climate change. Rápalo et al (2021), through hydro-environmental modeling, simulated scenarios under different conditions in a watershed adjacent to the Araguaia Upper and found that the recovery of vegetation cover favors hydrological stabilization, the opposite effect when agriculture and pasture are present. These changes in the natural water flow cause environmental disturbances in the Brazilian cerrado, such as increased environmental fragility related to soil erosion (Silva et al, 2021b), and this generates several other problems such as leaching (Rizinjirabake et al, 2019), water quality of water bodies (Girardi et al, 2016), and river silting (Moreira and Souza, 2018).…”

Section: La Niñamentioning

confidence: 99%

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Gomes

Nascimento

Pereira

et al. 2022

Rev. Bras. Ciênc. Ambient.

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The climatic extremes and the dynamics of land use and cover can cause changes in river flow. The objective of this work was to analyze the flow of the Araguaia River under the effects of extreme years associated with the dynamics of land use in the Araguaia Watershed (AW) from 1981 to 2019. The land use and land cover product were based on the MapBiomas Project classification, imported from the Google Earth Engine. The measured rainfall and flow data were obtained from the National Water Agency. In contrast, the estimated rainfall was based on the data Climate Hazards Group InfraRed Precipitation with Stations. The precipitation climatology showed the lowest values (1,464.9–1,720.4 mm) in the south-central sector, and the highest (1,720.4–2,014.6 mm) rainfall amounts were observed in the north sector. However, it was identified in the five pluviometric stations with a high variability of precipitation, with an emphasis on the extreme years. Such wet and dry years were marked by a large difference in water availability. There was an intense reduction of the Amazon and Cerrado biomes by 31,641.8 and 42,618.9 km², respectively, mainly due to the expansion of 18,936.1 km² of agricultural activities and 47,494 km² of pasture. The fluviometric variability showed a decreasing trend, mainly in the past 15 years. Public actions, such as the intensification of environmental policies, monitoring focusing on the most compromised and strategic areas such as the headwaters of the Araguaia River, can minimize the impacts caused by climate extremes and deforestation.

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Section: La Niñamentioning

confidence: 99%

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Gomes

Nascimento

Pereira

et al. 2022

Rev. Bras. Ciênc. Ambient.

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“…Therefore, the spatialization model's calibration and optimization could be further improved, although the internal spatial diversity of POP and GBR has been quantified by these models. On the other hand, most studies have shown that land-use changes have a direct impact on the runoff, peak flow and hydrograph [86][87][88]. However, due to the data availability limitations, our approach required a simplifying assumption.…”

Section: Applications and Uncertainty Of The Frameworkmentioning

confidence: 99%

Dynamic Assessment of the Flood Risk at Basin Scale under Simulation of Land-Use Scenarios and Spatialization Technology of Factor

Liu

Wang

Xiong

et al. 2021

Water

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Climate change, population increase, and urban expansion have increased the risk of flooding. Therefore, accurately identifying future changing patterns in the flood risk is essential. For this purpose, this study elaborated a new framework for a basin scale that employs a future land-use simulation model, a factor spatialization technique, and a novel hybrid model for scenario-based flood risk assessment in 2030 and 2050. Three land-use scenarios (i.e., natural growth scenario, cropland protection scenario, and ecological protection scenario) were set and applied in Jinjiang Basin to explore the changes in future flood risk under these scenarios. The results indicate the different degrees of increase in flood risk that will occur in the three scenarios. Under the natural growth (NG) scenario, the city will expand rapidly with the growth of population and economy, and the total area with high and very high flood risk will increase by 371.30 km2 by 2050, as compared to 2020. However, under the ecological protection (EP) scenario, woodlands will be protected, and the growth in population, economy, and built-up lands will slow down with slightly increased risk of flooding. In this scenario, the total area with high and very high flood risk will increase by 113.75 km2 by 2050. Under the cropland protection (CP) scenario, the loss of croplands will have been effectively stopped, and the flood risk will not show a significant increase under this scenario, with an increase by only 90.96 km2 by 2050, similar to the EP scenario. Spatially, these increased flood risks mainly locate at the periphery of existing built-up lands, and the high-flood-risk zones are mainly distributed in the southeast of the Jinjiang Basin. The information about increasing flood risk determined by the framework provides insight into the spatio-temporal characteristics of future flood-prone areas, which facilitates reasonable flood mitigation measures to be developed at the most critical locations in the region.

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Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil

Santos

Pelinson

Oliveira

et al. 2023

CATENA

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Effects of land-use and -cover changes on streamflow regime in the Brazilian Savannah

Cited by 8 publications

References 59 publications

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Dynamic Assessment of the Flood Risk at Basin Scale under Simulation of Land-Use Scenarios and Spatialization Technology of Factor

Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil

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