Water Resources Utilization and Protection in the Coal Mining Area of Northern China

Dong, Shuning; Xu, Bin; Yin, Shangxian; Han, Yong; Zhang, Xiaodong; Dai, Zhenxue

doi:10.1038/s41598-018-38148-4

Cited by 27 publications

(11 citation statements)

References 38 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coal is China’s basic energy source, and China will continue to rely on coal as its main energy source for a long time in the future [ 32 ]. According to incomplete statistics, there are more than 6 million coal miners in China [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Associations of musculoskeletal disorders with occupational stress and mental health among coal miners in Xinjiang, China: a cross-sectional study

Sun

et al. 2021

BMC Public Health

View full text Add to dashboard Cite

Background Musculoskeletal disorders (MSDs), a common type of occupational diseases, have become the main cause of absenteeism and early retirement in the occupational population, as well as a major risk factor for occupational disability. The purpose of this study was to investigate the effects of occupational stress and mental health on MSDs in coal miners in Xinjiang, China, to provide a theoretical basis for reducing the incidence of MSDs in coal miners and improving their physical and mental health. Methods In this study, stratified cluster random sampling was used to randomly select six coal mining companies in Xinjiang, and 1675 coal miners were surveyed by questionnaire. The status of occupational stress, mental health and MSDs among coal miners was investigated by means of the Effort–Reward Imbalance questionnaire (ERI), Symptom Checklist-90(SCL-90), and Musculoskeletal disorders scale (MSDs) questionnaire. Results The prevalence of MSDs among coal miners was higher, and there were statistical differences among different sexes, ages, working years, shifts, types of work, educational level and monthly income (P < 0.001). The prevalence of MSDs in different body parts in the occupational stress group and mental disorder group was higher than that in the normal group. The results of multivariate logistic regression analysis showed that females had an increased risk of developing MSDs (OR = 2.23, 95% CI.:1.50,3.33). The risk of MSDs was higher with age < 30 years (30-39 years,OR = 2.39, 95% CI.,1.68,3.40; 40-49 years,OR = 2.15, 95% CI.:1.52,3.04; 50-60 years:OR = 3.25, 95% CI.:2.09,5.07), and the longer the working years, the higher the risk of MSDs (OR = 1.90, 95% CI.:1.38,2.62). The two shifts group (OR = 2.18, 95% CI.:1.59,2.98) had an increased risk of developing MSDs compared with the fixed day shift group. The risk of MSDs was lower in heading drivers (OR = 0.41, 95% CI.:0.29,0.60,) and transport workers (OR = 0.30, 95% CI.:0.20,0.43). The higher the education level, the lower the risk of MSDs (high school: OR = 0.46, 95% CI.:0.34,0.62, junior college and above: OR = 0.12, 95% CI.:0.08,0.17), and the higher the monthly income, the lower the risk of MSDs (OR = 0.50, 95% CI.:0.34,0.74). Occupational stress (OR = 1.32, 95% CI.:1.05,1.67) and mental disorder(OR = 2.94, 95% CI.:2.25,3.84) increased the risk of MSDs. A Bayesian network diagram showed that occupational stress and MSDs have direct effects on mental disorders, and occupational stress can have indirect effects on mental disorders through MSDs. Conclusion Our research shows that MSDs are common among coal miners. Occupational stress and psychological disorders can increase the incidence of MSDs.

show abstract

Section: Introductionmentioning

confidence: 99%

Associations of musculoskeletal disorders with occupational stress and mental health among coal miners in Xinjiang, China: a cross-sectional study

Sun

et al. 2021

BMC Public Health

View full text Add to dashboard Cite

show abstract

“…Fresh water is a scarce natural resource very essential to life and any productive activity [1][2][3][4][5][6][7][8][9]. Water worldwide availability or accessibility (Figure 1) is not uniform [10] given that some regions have significant water resources, while others, such as in the Northern region of China [11], Chile and the WANA region endure water scarcity and drought [2,6,[10][11][12][13][14]. The WANA region includes countries in North Africa (Algeria, Morocco, Tunisia, Libya, Egypt, Eritrea, Ethiopia, and Sudan), West Asia (Turkey, Cyprus, Iraq, Jordan, Lebanon, and Syria) as well as all the Middle Eastern countries in the Arabian Peninsula and Iran.…”

Section: Introductionmentioning

confidence: 99%

Review of Wastewater Treatment Technologies in View of their Application in the DR Congo Mining Industry

Lutandula⃰

Mpanga

2021

Glob. Environ. Eng.

View full text Add to dashboard Cite

The world is currently experiencing a water crisis in terms of both quantity and quality due to water ever-growing demand in large-scale consumer sectors such as agriculture, industry and tourism. This crisis results from the increasing pressure on water resources brought about the world population growth, continued urbanization and rapid industrialization as sources of an increased release of contaminated water into watercourses. Faced with this worrying situation, strategies have been developed throughout the world for improving both the availability and access to water. Different technologies, both established and emerging ones, are utilized in view to treat wastewaters, including those of the mining origin. The present work reviews the different uses of water in the mining industry and identifies its different sources of polluted water. It analyses some wastewater treatment techniques and their applicability in the reclamation of wastewater generated by the DR Congo mining industry. The adopted approach, in dealing with the relevant issue of water crisis experienced worldwide in terms of both quantity and quality, is expected to help improving practices in the management of wastewater of mining origin, increasing access to water and its sustainable use.

show abstract

“…The assumptions according to Eq. (4) are that the aquifer is almost horizontal, the distance between the top and bottom plates is relatively uniform, the water medium is relatively uniform, thus avoiding the fluctuation of water flow in the aquifer, and there is a certain range in the pumping well with a circular long radius head boundary. However, during the actual mining process, owing to the possible existence of faults, geological anomalies, and other extraneous factors, the formation permeability coefficient of the study area is locally variable; thus, the aquifer is characterized by non-uniformity, and it is difficult to achieve a circular or rule head boundary.…”

Section: Prediction Equation For Interval Water Inflowmentioning

confidence: 99%

“…Water damage is a key problem during mining 1 – 3 . The large-well method is commonly used for predicting mine water inflow 4 – 6 , however, the accuracy of the results are subject to the constraints of hydrogeological conditions 7 – 9 . For example, the calculation process of the large well method is simple, but for areas with complex hydrogeological conditions, the calculation accuracy needs to be further improved.…”

Section: Introductionmentioning

confidence: 99%

Interval uncertainty analysis of a confined aquifer

Wang

2021

Sci Rep

View full text Add to dashboard Cite

Water inflow forecast is influenced by many factors and yields uncertain results. To more accurately predict the magnitude of water inflow and quantitatively define the corresponding response in the parameter change interval, this study combined a non-probabilistic set theory and uncertainty analysis to derive an equation for the confined water inflow. Using mining area data and comparing the calculation of upper and lower boundary limits obtained by a Monte Carlo method, results of the confined water inflow equation were calculated with relative errors of 5% and 10%. When corresponding to the rate of change of the variable parameter, the results showed that under the same error conditions, the allowable rate of change when calculating the minimum value using Eq. A was greater than when using Eq. B, and the maximum value using Eq. B yielded a greater allowable rate of change than the maximum value calculated by Eq. A. Thus, the obtained rate of change for Eq. A is indicative of the lower limit, and Eq. B is conducive to the calculation of the upper limit of mine water inflow.

show abstract

Water Resources Utilization and Protection in the Coal Mining Area of Northern China

Cited by 27 publications

References 38 publications

Associations of musculoskeletal disorders with occupational stress and mental health among coal miners in Xinjiang, China: a cross-sectional study

Associations of musculoskeletal disorders with occupational stress and mental health among coal miners in Xinjiang, China: a cross-sectional study

Review of Wastewater Treatment Technologies in View of their Application in the DR Congo Mining Industry

Interval uncertainty analysis of a confined aquifer

Contact Info

Product

Resources

About