The newly revised and enlarged main contents of the Law of Prevention and Control of Atmospheric Pollution are described, The macro impacts of the law on the power industry development are analyzed mainly in respects ...The newly revised and enlarged main contents of the Law of Prevention and Control of Atmospheric Pollution are described, The macro impacts of the law on the power industry development are analyzed mainly in respects to power demand and readjustment of power structure and layout. clean production and pollution control level, scientific management of environmental protection, in accordance with law as well as changes of construction and operation costs. And finally, several questions worthy to be noted in course of implementation of the new law are enumerated.展开更多
A micro-layered structure was observed in the stable rust layer through dry–wet cycle corrosion tests.The microstructure,element distribution,and corrosion resistance mechanism of this layer structure in the marine i...A micro-layered structure was observed in the stable rust layer through dry–wet cycle corrosion tests.The microstructure,element distribution,and corrosion resistance mechanism of this layer structure in the marine industrial atmosphere were investigated by focused ion beam–scanning electron microscopy and high-resolution transmission electron microscopy.The inner rust layer of weathering steel(WS)exhibited layered enrichment of Cr,Cu,Ti,and other alloying elements.This layered structure comprised a fully amorphous region rich in Cr and Ti,as well as an amorphous and nanocrystalline region rich in Fe but poor in Cr.Only the completely amorphous region of the inner rust layer demonstrated a strong adsorption effect on Cl^(−).Cr-rich amorphous region played a pivotal role in reducing the corrosion of WS in the marine industrial atmospheric environment.The interface between the amorphous and nanocrystalline regions,as well as cracks within the interlayer,facilitated Cl^(−)transport,while the intact interlayer effectively hindered HSO_(3)^(−).展开更多
The corrosion behavior of low carbon steel （CS）, P-bearing steel （PS） and P-RE weathering steel （P-REWS） exposed for two years in Jiangjin of China was investigated. The results showed that during 2-year exposur...The corrosion behavior of low carbon steel （CS）, P-bearing steel （PS） and P-RE weathering steel （P-REWS） exposed for two years in Jiangjin of China was investigated. The results showed that during 2-year exposure test, corrosion data of the experimental steels followed the bilogarithmic equation, and the average corrosion depth of PS and P-REWS was decreased by 19.5% and 28.2% respectively compared with that of CS. Scanning electron microscope, electrochemical impedance spectroscope and Fourier transform infrared spectroscope were used to characterize the corrosion products. The research results showed that P in steel could promote the formation of an amorphous ferric oxyhydroxide layer near the substrate. The addition of RE could effectively increase the charge transportation re sistanee of rust.展开更多
Industrial emissions are the main source of atmospheric pollutants in China.Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmosph...Industrial emissions are the main source of atmospheric pollutants in China.Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely.Based on China’s coking enterprises in 2020,we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards(QRPES)into the construction of support vector regression(SVR)and random forest regression(RFR)prediction methods for SO_(2)emission of coking enterprises in China.The results show that,affected by the types of coke ovens and regions,China’s current coking enterprises have implemented a total of 21 emission standards,with marked differences.After adding QRPES,it was found that the root mean squared error(RMSE)of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a,and the R2 increased from 0.890 and 0.881 to 0.926 and 0.945,respectively.This shows that the QRPES can greatly improve the prediction accuracy,and the SO_(2)emissions of each enterprise are highly correlated with the strictness of standards.The predicted result shows that 45%of SO_(2)emissions from Chinese coking enterprises are concentrated in Shanxi,Shaanxi and Hebei provinces in central China.The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.展开更多
文摘The newly revised and enlarged main contents of the Law of Prevention and Control of Atmospheric Pollution are described, The macro impacts of the law on the power industry development are analyzed mainly in respects to power demand and readjustment of power structure and layout. clean production and pollution control level, scientific management of environmental protection, in accordance with law as well as changes of construction and operation costs. And finally, several questions worthy to be noted in course of implementation of the new law are enumerated.
基金supported by the High-quality Scientific Research Cultivation Project of Bengbu University(Grant No.2021pyxm03)the Natural Science Foundation of the Higher Education Institutions of Anhui Province(Grant No.KJ2021A1118)+1 种基金the Provincial Quality Engineering Project of Anhui Universities(Grant No.2022zygzts066)the Discipline(Major)Leadership Development Program of Anhui Province(DTR2023057).
文摘A micro-layered structure was observed in the stable rust layer through dry–wet cycle corrosion tests.The microstructure,element distribution,and corrosion resistance mechanism of this layer structure in the marine industrial atmosphere were investigated by focused ion beam–scanning electron microscopy and high-resolution transmission electron microscopy.The inner rust layer of weathering steel(WS)exhibited layered enrichment of Cr,Cu,Ti,and other alloying elements.This layered structure comprised a fully amorphous region rich in Cr and Ti,as well as an amorphous and nanocrystalline region rich in Fe but poor in Cr.Only the completely amorphous region of the inner rust layer demonstrated a strong adsorption effect on Cl^(−).Cr-rich amorphous region played a pivotal role in reducing the corrosion of WS in the marine industrial atmospheric environment.The interface between the amorphous and nanocrystalline regions,as well as cracks within the interlayer,facilitated Cl^(−)transport,while the intact interlayer effectively hindered HSO_(3)^(−).
基金Item Sponsored by National Natural Science Foundation of China(50671027)National Key Basic Research Programof China(2004CB619101)
文摘The corrosion behavior of low carbon steel （CS）, P-bearing steel （PS） and P-RE weathering steel （P-REWS） exposed for two years in Jiangjin of China was investigated. The results showed that during 2-year exposure test, corrosion data of the experimental steels followed the bilogarithmic equation, and the average corrosion depth of PS and P-REWS was decreased by 19.5% and 28.2% respectively compared with that of CS. Scanning electron microscope, electrochemical impedance spectroscope and Fourier transform infrared spectroscope were used to characterize the corrosion products. The research results showed that P in steel could promote the formation of an amorphous ferric oxyhydroxide layer near the substrate. The addition of RE could effectively increase the charge transportation re sistanee of rust.
基金supported by the National Key R&D Program of China(No.2018YFC1800106)。
文摘Industrial emissions are the main source of atmospheric pollutants in China.Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely.Based on China’s coking enterprises in 2020,we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards(QRPES)into the construction of support vector regression(SVR)and random forest regression(RFR)prediction methods for SO_(2)emission of coking enterprises in China.The results show that,affected by the types of coke ovens and regions,China’s current coking enterprises have implemented a total of 21 emission standards,with marked differences.After adding QRPES,it was found that the root mean squared error(RMSE)of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a,and the R2 increased from 0.890 and 0.881 to 0.926 and 0.945,respectively.This shows that the QRPES can greatly improve the prediction accuracy,and the SO_(2)emissions of each enterprise are highly correlated with the strictness of standards.The predicted result shows that 45%of SO_(2)emissions from Chinese coking enterprises are concentrated in Shanxi,Shaanxi and Hebei provinces in central China.The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.
