Impactos de la minería de tierras raras a gran escala en escorrentía superficial, aguas subterráneas y evapotranspiración: un estudio de caso utilizando SWAT para la cuenca del río Taojiang en el sur de China

Liang, Jiaping; Kai-xing, WU; Li, Yue; Wei, Zhenya; Pan, Zhuo; Yan, Qun; Luo, Xianping

doi:10.1007/s10230-018-00587-w

Cited by 14 publications

(6 citation statements)

References 49 publications

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“…Between 1984 and 2017, 100,000 ha of accumulated deforestation due to alluvial gold mining activities was identified [11]. Deforestation increases soil erosion and surface runoff rates, leading to increased sedimentation rates and alteration of the hydrological cycle [12]; removing vegetation cover also increases soil compaction and reduces infiltration capacities, leading to floods [13], which are frequent during the wet seasons, especially in the mining zones of the MDD Basin.…”

Section: Introductionmentioning

confidence: 99%

Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model

Paiva,

Rau,

Montesinos

et al. 2023

Remote Sensing

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The watershed hydrologic conditions in the Madre de Dios (MDD) Basin in the Peruvian Amazon have been irreversibly impacted by deforestation and changes in land cover. These changes have also had detrimental effects on the geomorphology, water quality, and aquatic habitat within the basin. However, there is a scarcity of hydrological modeling studies in this area, primarily due to the limited availability of hydrometeorological data. The primary objective of this study was to examine how deforestation impacts the hydrological conditions in the MDD Basin. By implementing the Soil and Water Assessment Tool (SWAT) model, this study determined that replacing 12% of the evergreen broadleaf forest area with bare land resulted in a significant increase in surface runoff, by 38% monthly, a 1% annual reduction of evapotranspiration, and an average monthly streamflow increase of 12%. Changes in spatial patterns reveal that the primary impacted watershed is the Inambari River subbasin, a significant tributary of the Madre de Dios River. This area experiences an annual average surge of 187% in surface runoff generation while witnessing an annual average reduction of 8% in evapotranspiration. These findings have important implications, as they can contribute to instances of flooding and extreme inundation events, which have already occurred in the MDD region.

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Section: Introductionmentioning

confidence: 99%

Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model

Paiva,

Rau,

Montesinos

et al. 2023

Remote Sensing

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“…The "Surface Mining Control and Reclamation Act of 1977" details the effects of surface mining on the landscape, including soil erosion and landslides, flooding, water contamination, and habitat destruction [18]. Furthermore, research has demonstrated the hydrologic effects of mining on Appalachian landscapes, including increased peak flows at newly mined watersheds in response to strong storm events, increased subsurface void space, and increased base flows [15,16,19].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Effect of Land-Use and Land-Cover Changes on Discharge and Sediment Yield in a Rural Coal-Mine Dominated Watershed in Kentucky, USA

Gyawali

Shrestha²,

Bhatta

et al. 2022

Water

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The Appalachian Mountain region of eastern Kentucky is unique and contains high proportions of forestland along with coal and natural gas depositaries. Landscape changes due to extreme mining activities can eventually threaten the downstream ecosystems, including soil and water quality, resulting in excessive runoff and sedimentation. The purpose of this study is to assess the impacts of land-use and land-cover (LULC) changes in streamflow and sediment yield in Yellow Creek Watershed, Kentucky, USA, between 1992 and 2016. LULC, digital elevation model, soil, and weather data were inputted into the Soil and Water Assessment Tool (SWAT) to simulate discharge and sediment yield. The model output was evaluated on several statistical parameters, such as the Nash-Sutcliffe efficiency coefficient (NSE), RMSE-observations standard deviation ratio (RSR), percent bias (PBIAS), and the coefficient of determination (R2). In addition, two indices, P-factor and R-factor, were used to measure the prediction uncertainty. The calibrated model showed an increase in surface runoff and sediment yield due to changes in LULC in the Yellow Creek Watershed. The results provided important insights for studying water management strategies to make more informed land management decisions and adaptive practices.

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“…Surface runoff in mined areas needs to be better studied because the precision of estimates about the total runoff after mining, especially in Brazil, is low (Evans et al, 2015; Loch, 2000; Martín‐Moreno et al, 2016). Runoff in surface mines, mainly in China, the United States, and Spain, has been evaluated in field experiments with simulated plots in situ (Gomez‐Gonzalez et al, 2016) and natural rain conditions (Merino‐Martín, Moreno‐de las Heras, Pérez‐Domingo, Espigares, & Nicolau, 2012), or with estimates based on precipitation data (Liang et al, 2019; Taylor, Agouridis, Warner, & Barton, 2009). Empirical modeling methods are used (Nigam et al, 2017); however, field data obtained before and after the mining activities are required to estimate runoff water losses (Carroll, Merton, & Burger, 2000).…”

Section: Introductionmentioning

confidence: 99%

Surface runoff from an area undergoing soil rehabilitation after bauxite mining in southeastern Brazil

et al. 2021

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Changing hydrological processes and soil characteristics are of major environmental concern in surface mining. Runoff may be the best factor for determining the efficiency of rehabilitation after this type of mining, and needs more in-depth studies, but the environmental factors require more attention in order to control that runoff.The objective of this study was to compare the runoff during post-mining rehabilitation after the extraction of bauxite with that before mining, and to identify the factors that most affect it. Runoff from before the mining operations and during the rehabilitation after those operations were collected in seven plots in the area of a bauxite mine in southeastern Minas Gerais State, Brazil. The physical-environmental and anthropic factors interfering with the runoff were characterized for both periods, and their results were submitted to principal component analysis to define the parameters, which most demand attention in the mining rehabilitation stage. This study provides the first records of runoff in the field in areas rehabilitated after surface mining in Brazil, where the runoff decreased (1.75-times or 42.79%) from 0.76 to 0.30% of the precipitation during rehabilitation, compared to the reference area.The total porosity, density, and resistance of the soil, associated with the maintenance of slope, surface roughness, and vegetation cover, are the factors demanding more attention during the rehabilitation stage of surface mining in order to minimize runoff.

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Impactos de la minería de tierras raras a gran escala en escorrentía superficial, aguas subterráneas y evapotranspiración: un estudio de caso utilizando SWAT para la cuenca del río Taojiang en el sur de China

Cited by 14 publications

References 49 publications

Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model

Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model

Assessing the Effect of Land-Use and Land-Cover Changes on Discharge and Sediment Yield in a Rural Coal-Mine Dominated Watershed in Kentucky, USA

Surface runoff from an area undergoing soil rehabilitation after bauxite mining in southeastern Brazil

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