The Impact of Rainfall and Land Cover Changes on the Flow of a Medium-sized River in the South of Brazil

Martins, Jorge Alberto; Brand, Veronika S.; Capucim, Maurício; Machado, Camila Moreira; Allasia, Daniel; Martins, Leila Droprinchinski

doi:10.1016/j.egypro.2016.09.068

Cited by 14 publications

(7 citation statements)

References 24 publications

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“…The data of the climatic elements (atmospheric variable), that effect on rainfall are taken from the Canadian website (http://www.cccsn.ec.gc.ca/?page=pred-hadcm3.) in the format of GCM for the period (2007-2020) for the study area as shown in Table (1). 2), it should be taken some steps in preparing: The transform data in the model was tested for actual rainfall data taken from IMOS, did not give good results when compared with the actual values.…”

Section: Methodsmentioning

confidence: 99%

“…It must be given special attention for being the basis without which no kind of life in the world can be there. Some study showed strong rainfall spatial variability, with the largest value being found in the headwater of the river [1]. The low amount of rainfall the season will be drought but if large amount may be floods happened, both of them have an effect on the human health [2] where Precipitation data finds wide application in public health research.…”

Section: Introductionmentioning

confidence: 99%

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Predicted the Cumulative Annual Rainfall in Iraq Using SDSM Modal

Abdul-Jabbar¹,

Abdulkareem

2021

MJS

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Rain is deemed one of the most important climate elements. It must be given special attention for being the basis without which no kind of life in the world can be there. the aim of the study is to use Statistical models Downscaling (SDSM) where it is a universal model used to converting large scale output into a small scale that can be used to study impact at the local scale (Iraq)' to Forecasting cumulative annual rainfall for the next years where there are a few studies used this model in Iraq. Daily rainfall data from the Iraqi Meteorological Organization and Seismology (IMOS) (2007-2016) for the study areas (Baghdad, Karbala, Al-Hay, Mosul, Kirkuk, Khanaqin, Basra, Nasiriya, Diwaniya, and Rutba) is used to estimate the amount of rainfall by using SDSM. The model was used to estimate the rain values and then the results were compared with the actual values, the results were very close to each other. Also, the model used to predict the cumulative annual rainfall from (2017-2021), The result shows that the bigger amount of rainfall in the north region with (3821) mm and the lowest amount in the west region (665) mm, while middle region (1848) mm and south region (1828) mm.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicted the Cumulative Annual Rainfall in Iraq Using SDSM Modal

Abdul-Jabbar¹,

Abdulkareem

2021

MJS

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“…Based on World Meteorological Organization (WMO) directives, IRB's inner network was enough to provide data and perform as required at an acceptable cost (inter plains and hilly/undulating surface ranging 575 km 2 per station [35]). IRB belongs to one of the areas with the highest density of rainfall stations in South America [36].…”

Section: Meteorological Input Datamentioning

confidence: 99%

Simulating Discharge in a Non-Dammed River of Southeastern South America Using SWAT Model

Fujita

Morais

Santos

et al. 2022

Water

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Within a single region, it is possible to identify opposite changes in flow production. This proved to be the case for several basins in southeastern South America. It remains challenging to the causes this behavior and whether changes in streamflow will continue at current levels or decline in the coming decades. In this study, we used the Soil Water Assessment Tool to simulate monthly river discharge in the Ivaí River Basin, an unregulated medium-sized catchment and tributary of the Upper Paraná River Basin. After calibration, the simulated flow regime for the five streamflow stations based on the Nash-Sutcliffe Efficiency index (NSE) rated four of the streamflow stations Very Good (NSE between 0.86 and 0.89) and only one in the Good index (0.70). The overall flow behavior was well represented, although an underestimation was identified in four monitoring stations. Through assessment of its functionality and limitations in terms of specific flow duration curves percentages, the calibrated model could provide (to managers) the reliability needed for a realistic intervention. The results of this study may assist managers and support public policies for the use of water resources at the Ivaí River basin.

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“…In particular, this watershed houses 87 hydropower plants (see Figure 1) that provide more than 41,000 megawatts (MW) of electricity [7]. The importance of modelling the hydrology of this basin as a whole is evident, but most of the studies discussing the hydrology of the basin, are local ones that focus on sub-basins and do not represent the whole basin [8,9]. Very few examples of the modelling of UPRB are found [10].…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Hydrological Modelling of the Upper Paraná River Basin

Rafee

Uvo

Martins

et al. 2019

Water

Self Cite

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The Upper Paraná River Basin (UPRB) has undergone many rapid land use changes in recent decades, due to accelerating population growth. Thus, the prediction of water resources has crucial importance in improving planning and sustainable management. This paper presents a large-scale hydrological modelling of the UPRB, using the Soil and Water Assessment Tool (SWAT) model. The model was calibrated and validated for 78 outlets, over a 32-year simulation period between 1984 and 2015. The results and the comparison between observed and simulated values showed that after the calibration process, most of the outlets performed to a satisfactory level or better in all objective functions analyzed with 86%, 92%, 76%, 88%, and 74% for Percent bias, Coefficient of determination, Nash-Sutcliffe efficiency, Kling-Gupta efficiency, and the Ratio of Standard deviation of observations to root mean square error, respectively. The model output provided in this work could be used in further simulations, such as the evaluation of the impacts of land use change or climate change on river flows of the Upper Paraná Basin.

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The Impact of Rainfall and Land Cover Changes on the Flow of a Medium-sized River in the South of Brazil

Cited by 14 publications

References 24 publications

Predicted the Cumulative Annual Rainfall in Iraq Using SDSM Modal

Predicted the Cumulative Annual Rainfall in Iraq Using SDSM Modal

Simulating Discharge in a Non-Dammed River of Southeastern South America Using SWAT Model

Large-Scale Hydrological Modelling of the Upper Paraná River Basin

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