Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm

[1] Liu D(2015)Application study of comprehensive forecasting model based on entropy weighting method on trend of PM2. 5 concentration in Guangzhou, China[J] Int J Environ Res Public Health 12 7085-7099

[2] Li L(2014)Effect of wind speed and relative humidity on atmospheric dust concentrations in semi-arid climates[J] Sci Total Environ 487 82-90

[3] Csavina J(2015)Assessing Beijing's PM2. 5 pollution: severity, weather impact, APEC and winter heating[J] Proc Royal Soc A Math Phys Eng Sci 471 20150257-250

[4] Field J(2020)Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation[J] Res Policy 66 101634-76

[5] Félix O(2020)Prediction of the length of service at the onset of coal workers’ pneumoconiosis based on neural network[J] Arch Environ Occup Health 75 242-108

[6] Corral-Avitia AY(2017)Evaluating ammonia (NH3) predictions in the NOAA National air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign[J] Atmos Environ 163 65-10

[7] Sáez AE(2017)Numerical air quality forecasting over eastern China: an operational application of WRF-Chem[J] Atmos Environ 153 94-883

[8] Betterton EA(2016)Reduction of gas emission resulting from thermal ceramic manufacturing processes through development of industrial conditions[J] Sci J King Faisal Univ 17 1-811

[9] Liang X(2013)Neural network model for the prediction of PM10 daily concentrations in two sites in the Western Mediterranean[J] Sci Total Environ 463 875-4550

[10] Zou T(2019)A comparative time series analysis and modeling of aerosols in the contiguous United States and China[J] Sci Total Environ 690 799-8227

[1] Liu D(2015)Application study of comprehensive forecasting model based on entropy weighting method on trend of PM2. 5 concentration in Guangzhou, China[J] Int J Environ Res Public Health 12 7085-7099

[2] Li L(2014)Effect of wind speed and relative humidity on atmospheric dust concentrations in semi-arid climates[J] Sci Total Environ 487 82-90

[3] Csavina J(2015)Assessing Beijing's PM2. 5 pollution: severity, weather impact, APEC and winter heating[J] Proc Royal Soc A Math Phys Eng Sci 471 20150257-250

[4] Field J(2020)Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation[J] Res Policy 66 101634-76

[5] Félix O(2020)Prediction of the length of service at the onset of coal workers’ pneumoconiosis based on neural network[J] Arch Environ Occup Health 75 242-108

[6] Corral-Avitia AY(2017)Evaluating ammonia (NH3) predictions in the NOAA National air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign[J] Atmos Environ 163 65-10

[7] Sáez AE(2017)Numerical air quality forecasting over eastern China: an operational application of WRF-Chem[J] Atmos Environ 153 94-883

[8] Betterton EA(2016)Reduction of gas emission resulting from thermal ceramic manufacturing processes through development of industrial conditions[J] Sci J King Faisal Univ 17 1-811

[9] Liang X(2013)Neural network model for the prediction of PM10 daily concentrations in two sites in the Western Mediterranean[J] Sci Total Environ 463 875-4550

[10] Zou T(2019)A comparative time series analysis and modeling of aerosols in the contiguous United States and China[J] Sci Total Environ 690 799-8227