Spectro-temporal analysis of the Paraopeba River water after the tailings dam burst of the Córrego do Feijão mine, in Brumadinho, Brazil

Teixeira, David Bruno de Sousa; Veloso, Márcia Paranho; Ferreira, Fernanda Laurinda Valadares; Gleriani, José Marinaldo; Amaral, Cibele Hummel do

doi:10.1007/s10661-021-09218-4

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…Remote sensing satellite images can provide detailed data on the characteristics of the Earth's surface, which renders this approach a basic tool for environmental, land [20], disaster, and water resource [21] monitoring. At present, satellite remote sensing technology exhibits a wide range of applications in mining, including environmental monitoring around mining areas [22], monitoring of water or environmental pollution after tailings pond dam breaks [23,24], and monitoring of the size and distribution of tailings ponds in mining activities [25,26]. Experts and scholars have attempted to monitor displacement changes in tailings ponds [27] and have increased the capacity of tailings ponds [28], thus verifying the effective use of satellite remote sensing technology in tailings pond risk prevention and control.…”

Section: Remote Sensing Satellite Water Level Monitoring Technologymentioning

confidence: 99%

Application of Space–Sky–Earth Integration Technology with UAVs in Risk Identification of Tailings Ponds

Zhang

Wang

et al. 2023

Drones

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Unmanned aerial vehicle (UAV) tilt photography technology has gradually become a new technical means of disaster risk identification. This technology combines UAVs, satellite remote sensing, and ground online monitoring systems to establish an integrated space–sky–Earth system that can be used for tailings pond risk identification. With the use of this system for visual interpretation, water body identification, and monitoring data analysis, multiple types of monitoring parameters of a typical tailings pond in China, such as the seepage line and surface deformation, were obtained. Moreover, intelligent fusion analysis was performed of multisource data to outline the problems affecting tailings safety in the process of elevation expansion and irregular ore discharge of the tailings pond. Warning values of different levels were obtained to assess the overall safety condition of the tailings pond, and the proposed technology was verified. The research results could provide a new basis for accurate evaluation of the running state of tailings ponds and offer an effective remote monitoring means for tailings pond enterprises and supervisory departments.

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Section: Remote Sensing Satellite Water Level Monitoring Technologymentioning

confidence: 99%

Application of Space–Sky–Earth Integration Technology with UAVs in Risk Identification of Tailings Ponds

Zhang

Wang

et al. 2023

Drones

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“…Its main rivers are the Paraopeba, Águas Claras, Macaúbas, Betim, Camapuã, and Manso. The Paraopeba River rises in the city of Cristiano Otoni and has a total length of 428 km, and its mouth is located at the Três Marias Hydroelectric Power Plant dam (Teixeira et al, 2021).…”

Section: Study Areamentioning

confidence: 99%

Hydrological Regionalization of the Annual Maximum Streamflows of the Upper and Middle Paraopeba River – Mg Using the Index-Flood Technique

Filho

Durães

2022

Eng. Agríc.

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Estimating peak streamflows in a basin is an essential issue in hydrology, especially for projects and management of hydraulic infrastructures such as dams, spillways, and bridges. In this context, this article presents a regionalization of annual maximum streamflows for the upper and middle Paraopeba River region in Minas Gerais, proposing a regional equation to calculate maximum streamflows using the index-flood technique by the generalized extreme value (GEV) distribution. GEV distribution parameters were estimated using the L-moments method, and the adjustment of the statistical model was performed by applying the Anderson-Darling test. The results of the hydrological regionalization were compared with those obtained by the local frequency analysis, performed for the considered fluviometric stations, observing absolute deviations from 11.91 to 58.78%.

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“…However, a quantification of its magnitude at the regional level under future climate change scenarios is a challenging task (Bisht et al 2018). Several climatic indices based on long-term datasets of precipitation and temperature have been developed and used by researchers to identify and quantitatively examine the variations in weather patterns and extreme weather events due to climate change (Duan et al 2016;de Oliveira Souza et al 2018;Talchabhadel & Karki 2019;Ferreira et al 2021;Teixeira et al 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Any shift in the behaviour of this critical hydro-climatic variable is not evenly distributed over all regions; rather, it has its own distinct local component (Bisht et al 2018). Scientists across different parts of the world have conducted research on climate change and have attempted to decipher the trajectory of various climate indices (Duan et al 2016;de Oliveira Souza et al 2018;Talchabhadel & Karki 2019;Ferreira et al 2021;Teixeira et al 2021). An analysis of the prevailing trends in climate conditions using long-term meteorological data is very important for climate change studies.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal trend analysis and future projections of precipitation at regional scale: a case study of Haryana, India

Chauhan

Singh

Maurya

et al. 2022

Journal of Water and Climate Change

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In this study, we investigated the spatio-temporal distribution and performance of seasonal precipitation in all districts of Haryana, India. We analysed the gridded precipitation dataset of the India Meteorological Department (IMD) for a period of 120 years (1901–2020) using different statistical methods. We found that Haryana received a mean precipitation of 37.0, 37.7, 468.3, and 24.8 mm during the winter, pre-monsoon, monsoon, and post-monsoon seasons, respectively. During each season, the eastern districts of Haryana received more precipitation than its western counterparts. Sen's slope results obtained after trend-free pre-whitening (TFPW) showed a statistically significant increasing trend of 0.12 mm (p-value; 0.04) during the pre-monsoon period, whereas decreasing but non-significant trends were observed during the winter, monsoon and post-monsoon seasons at the rate of −0.04 mm (p-value; 0.49), −0.26 mm (p-value; 0.52), −0.05 mm (p-value; 0.33) per year, respectively, for the entire Haryana state. The winter precipitation is expected to increase under the Representative Concentration Pathway 4.5 (RCP4.5) scenario, whereas pre-monsoon precipitation is expected to decrease under the RCP8.5 scenario by the end of the 21st century. The monsoon precipitation is expected to decrease under all RCP scenarios, whereas post-monsoon precipitation is expected to gradually increase under the RCP8.5 scenario by the end of the 21st century.

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Spectro-temporal analysis of the Paraopeba River water after the tailings dam burst of the Córrego do Feijão mine, in Brumadinho, Brazil

Cited by 13 publications

References 29 publications

Application of Space–Sky–Earth Integration Technology with UAVs in Risk Identification of Tailings Ponds

Application of Space–Sky–Earth Integration Technology with UAVs in Risk Identification of Tailings Ponds

Hydrological Regionalization of the Annual Maximum Streamflows of the Upper and Middle Paraopeba River – Mg Using the Index-Flood Technique

Spatio-temporal trend analysis and future projections of precipitation at regional scale: a case study of Haryana, India

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