Impact of phosphate mining and separation of mined materials on the hydrology and water environment of the Huangbai River basin, China

Wang, Kang; Lin, Zhongbing; Zhang, Renduo

doi:10.1016/j.scitotenv.2015.11.043

Cited by 47 publications

(29 citation statements)

References 15 publications

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“…Chemical analysis for sewage samples were conducted following the national standard methods of waste water in China (Wang et al . ).…”

Section: Methodsmentioning

confidence: 97%

“…During the dry seasons, flow rate measurements and water sample collection were carried out twice (once each in 2014 and 2015) using a 3‐day monitoring procedure (Wang et al . ). On each of the sampling days, experiments were performed from 8 a.m. to 10 a.m., from 12 p.m. to 2 p.m. and from 8 p.m. to 10 p.m.…”

Section: Methodsmentioning

confidence: 97%

“…Sewage discharge volumes and concentrations of NH 1 4 -N, TN, TP and I Mn in the sewage were monitored at the Sichuan Environmental Monitoring Center from February, 2013. Chemical analysis for sewage samples were conducted following the national standard methods of waste water in China (Wang et al 2016).…”

Section: River Pollutant Flux Monitoringmentioning

confidence: 99%

“…The mass balance method was used to determine the decay rates of pollutants in the river (Wang et al 2014(Wang et al , 2016. Fourteen catchment areas without point source pollutants were chosen ( Fig.…”

Section: Determination Of Decay Rates Of Pollutants In the Rivermentioning

confidence: 99%

“…On each of the sampling days, from the beginning of a rainfall event to 1 day after the rainfall, experiments were performed eight to ten times at intervals of 40 min to 2 h during the rainfall period and subsequently at intervals of 4-6 h as the changes in flow rate significantly reduced. During the dry seasons, flow rate measurements and water sample collection were carried out twice (once each in 2014 and 2015) using a 3-day monitoring procedure (Wang et al 2016). On each of the sampling days, experiments were performed from 8 a.m. to 10 a.m., from 12 p.m. to 2 p.m. and from 8 p.m. to 10 p.m.…”

Section: Determination Of Decay Rates Of Pollutants In the Rivermentioning

confidence: 99%

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Characterization of the nonpoint source pollution into river at different spatial scales

Wang

Lin

2018

Water & Environment J

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The objectives of this study were to investigate the effects of rainfall and underlying surface conditions on nonpoint source (NPS) pollution loads and to identify the uncertainty in NPS pollution loads at different spatial scales in the Fuxi River basin, China. Data on monitored daily flow rates and concentrations of ammonium nitrogen, total nitrogen, total phosphorus and permanganate index at the sub‐basin and basin scales were collected for a period from 2013 to 2015. Dynamic time warping distance and information measures were used to characterize pollution loads and determine the uncertainties. The results indicate that, at both sub‐basin and basin scales, NPS pollution loads increased nonlinearly with rainfall until it reached 38.4 mm, and subsequently, the NPS pollution loads stabilized. The underlying surface conditions affected the NPS pollution loads more profoundly than rainfall. Additionally, the uncertainty in NPS pollution loads increased with the spatial scales.

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“…Chemical analysis for sewage samples were conducted following the national standard methods of waste water in China (Wang et al . ).…”

Section: Methodsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 97%

Section: River Pollutant Flux Monitoringmentioning

confidence: 99%

Section: Determination Of Decay Rates Of Pollutants In the Rivermentioning

confidence: 99%

Section: Determination Of Decay Rates Of Pollutants In the Rivermentioning

confidence: 99%

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Characterization of the nonpoint source pollution into river at different spatial scales

Wang

Lin

2018

Water & Environment J

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Reintroduction of native plants indicates the return of ecosystem services after iron mining at the Urucum Massif

et al. 2021

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To reduce the net losses of biodiversity and ecosystem services caused by iron ore mining in Brazil, mineland rehabilitation using native plant species is necessary. However, systematic knowledge about which plant species are the best candidates for mineland rehabilitation is lacking. Therefore, iron mining companies working on the Urucum Massif reintroduce as many native herb and shrub species as possible to achieve the rehabilitation of savanna vegetation communities. To this end, seeds are collected from nearby native ecosystems, and seedlings are rescued from logged areas or produced in a local nursery. Monitoring is necessary to assess the persistence of the reinstated communities and their similarity to natural reference conditions. Ideally, monitoring efforts should compare the floristic composition of the rehabilitating sites with that of natural reference ecosystems. Here, we compared sites that had undergone two or three years of rehabilitation after iron ore mining on the Urucum Massif, MS, Brazil, with native reference sites. The species composition as well as structural, taxonomic, and phylogenetic diversity indices were compared between the reference and rehabilitating sites. Despite the differences in species composition between the rehabilitating and reference sites, we found more than 50 native species and partial recovery of the vegetation structure in the rehabilitating sites. Furthermore, we detected similar levels of animal-dispersed plant species at rehabilitating and reference sites. These environmental indicators indicate that trial-and-error approaches are indeed able to establish considerable native species diversity during mineland rehabilitation. Furthermore, the partial recovery of the vegetation structure suggests the gradual return of soil functions in the long term, and the presence of zoochorous species is expected to attract seed-dispersing animals that enable gene flow as well as the arrival of additional plant species. Nevertheless, the high cover values of alien exotic species, which are negatively correlated with the diversity of the reinstated communities, endanger the success of mineland rehabilitation in the Urucum Massif, and effective control methods for invasive populations are required. These efforts should be accompanied by enrichment plantings to maintain the diversity of native plant communities at the rehabilitation sites and ongoing environmental monitoring.

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The Influence of Large Scale Phosphate Mining on the Water Quality of the Huangbaihe River Basin in China: Dominant Pollutants and Spatial Distributions

Reta

Dong

et al. 2019

Mine Water Environ

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Large scale phosphate mining in the Huangbaihe River Basin, China has reduced the self-purification capacity of the basin's fresh water. Three years (2014)(2015)(2016) of monitoring data and chemometric analysis were used to identify the dominant pollutants and define their spatial distribution in the basin. Principal component analysis was applied to determine the contribution of the individual pollutants. Total phosphorus (TP) 53%, water temperature (TEMP) 27%, and total nitrogen (TN) 20% proved to be the dominant problems. A discriminant functions (DF) model was developed to classify the study area into high, moderate, and low pollution zones. The DF coefficients were applied to analyze the correlation between DF and the measured parameters and it was found that TP, TN, and TEMP were positively correlated with the DF, indicating that these parameters were the most important. Finally, the results were compared with the locations of the mining activities, which revealed that TP is higher in the upper sub-basins, Xuanmiaoguan and Tianfumiao, where most of the high pollution zones are located and more than 78% of the areas are affected by the phosphate mines. It is concluded that the phosphate mining is the major source of pollution and TP is the dominant pollutant responsible for the total water quality variation in the river basin. More effective management measures have to be taken to reduce phosphorus runoff into the reservoir watersheds.

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Impact of phosphate mining and separation of mined materials on the hydrology and water environment of the Huangbai River basin, China

Cited by 47 publications

References 15 publications

Characterization of the nonpoint source pollution into river at different spatial scales

Characterization of the nonpoint source pollution into river at different spatial scales

Reintroduction of native plants indicates the return of ecosystem services after iron mining at the Urucum Massif

The Influence of Large Scale Phosphate Mining on the Water Quality of the Huangbaihe River Basin in China: Dominant Pollutants and Spatial Distributions

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