The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based ...The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based on oxygen balance mechanism (OBM) and deep neural network (DNN) was established for predicting oxygen blowing time in converter. A three-step method was utilized in the hybrid model. First, the oxygen consumption volume was predicted by the OBM model and DNN model, respectively. Second, a more accurate oxygen consumption volume was obtained by integrating the OBM model and DNN model. Finally, the converter oxygen blowing time was calculated according to the oxygen consumption volume and the oxygen supply intensity of each heat. The proposed hybrid model was verified using the actual data collected from an integrated steel plant in China, and compared with multiple linear regression model, OBM model, and neural network model including extreme learning machine, back propagation neural network, and DNN. The test results indicate that the hybrid model with a network structure of 3 hidden layer layers, 32-16-8 neurons per hidden layer, and 0.1 learning rate has the best prediction accuracy and stronger generalization ability compared with other models. The predicted hit ratio of oxygen consumption volume within the error±300 m^(3)is 96.67%;determination coefficient (R^(2)) and root mean square error (RMSE) are0.6984 and 150.03 m^(3), respectively. The oxygen blow time prediction hit ratio within the error±0.6 min is 89.50%;R2and RMSE are0.9486 and 0.3592 min, respectively. As a result, the proposed model can effectively predict the oxygen consumption volume and oxygen blowing time in the converter.展开更多
The plant biomass and net primary production(NPP) of urban vegetation in Guangzhou were estimated by dimension analysis, tree truck volume, and harvest methods as well as relationship between biomass and NPP and so on...The plant biomass and net primary production(NPP) of urban vegetation in Guangzhou were estimated by dimension analysis, tree truck volume, and harvest methods as well as relationship between biomass and NPP and so on. The biomass and NPP were respectively 2875150t and 1058122 t/a. They were respectively 392495t and 64948 t/a in the built-up area and 2482655t and 993147 t/a in the unbuilt-up area. It would make plant biomass, especially NPP decline obviously, if the unbuilt-up area were changed to the built-up area. The carbon content of plant was 1328649 for the total and 13.78 t/hm 2 for the mean, and amounts of carbon fixed and oxygen made by urban vegetation were respectively 4.80 t/(hm 2·a) and 12.79 t/(hm 2·a) for the mean and 462624 t/a and 1232430 t/a for the total, which were equal to 1.45 times and 1.04 times of those by human breathing. However, they were only equal to 7.61% and 4.97% of amount of carbon released and oxygen consumption in urban Guangzhou. The biomass and NPP of urban vegetation in Guangzhou only corresponded to 7.8% and 47.3% of those of southern subtropical evergreen broad-leaf forest in Dinghu Mountain. Therefore, the roles of Guangzhou urban vegetation in balance of carbon and oxygen would be increased greatly if it could be conserved and improved in some way.展开更多
The application of human induced oxygen consumption and carbon emission theory in urban region was summed up and on this base a new model of urban carbon and oxygen balance (UCOB) was constructed by calculating the ca...The application of human induced oxygen consumption and carbon emission theory in urban region was summed up and on this base a new model of urban carbon and oxygen balance (UCOB) was constructed by calculating the carbon and oxygen fluxes. The purpose was to highlight the role of vegetation in urban ecosystems and evaluate the effects of various human activities on urban annual oxygen consumption and carbon emission. Hopefully,the model would be helpful in theory to keep the regional balance of carbon and oxygen,and provide guidance and support for urban vegetation planning in the future. To test the UCOB model,the Jimei District of Xiamen City,Fujian Province,China,a very typical urban region,was selected as a case study. The results turn out that Jimei′s vegetation service in oxygen emission and carbon sequestration could not meet the demand of the urban population,and more than 31.49 times of vegetation area should be added to meet the whole oxygen consumption in Jimei while 9.60 times of vegetation area are needed to meet the carbon sequestration targets. The results show that the new UCOB model is of a great potential to be applied to quantitative planning of urban vegetation and regional eco-compensation mechanisms.展开更多
Objective: To evaluate the effects of various degrees of hyperventilation on balance of cerebral oxygensupply and consumption during intravenous general anesthesia with jugular venous oxygen saturation monitoringMetbo...Objective: To evaluate the effects of various degrees of hyperventilation on balance of cerebral oxygensupply and consumption during intravenous general anesthesia with jugular venous oxygen saturation monitoringMetbods: Sixty-six patients with supratentorial tumor undergoing intravenous general anesthesia for brain surgerywere randomly divided into three groups. In group Ⅰ, Ⅱ and Ⅲ, end-tidal pressure of Co2(PETCO2) were maintained at 3. 5, 4. 0 and 4. 5 kPa respectively. Radial arterial blood samples and jugular bulb blood samples weretaken synchronously at 60 min after hyperventilation to measure jugular venous oxygen saturation (SjvO2), cerebral extraction of oxygen (CEO2) and cerebral arteriovenous oxygen content difference (AVDO2) were calculatedResults: In group Ⅰ after hyperventilation, SjvO, and jugular venous oxygen content (CjvO2) were decreasedmarkedly while CEO2 was increased significantly, which was different significantly compared with the baseline andcorresponding value in group Ⅱ and Ⅲ (P<0. 05). After hyperventilation in group, and, SjvO2 CjvO2, CEO2and AVDO, remained unchanged. Conclusion: This study shows that sustained excessive hyperventilation (PETCO23.5 kPa) may account for the less favorable cerebral oxygen supply and consumption balance and maintained PETCO, at 4. 0~4. 5 kPa was optimal hyperventilation for brain surgery anesthesia.展开更多
[Objective] The study aimed to analyze ecological land demand of Shijiazhuang City on the basis of carbon-oxygen balance method. [Method] Firstly, the release and absorption of CO2 and O2 in Shijiazhuang City during 2...[Objective] The study aimed to analyze ecological land demand of Shijiazhuang City on the basis of carbon-oxygen balance method. [Method] Firstly, the release and absorption of CO2 and O2 in Shijiazhuang City during 2004 -2007 were studied by using carbon-oxygen balance method, and the ecological land area needed for carbon-oxygen balance was calculated, then the ecological land area needed for carbon-oxygen balance in 2015 was predicted. Finally, some measures to reduce the deficit of CO2 and O2 in Shijiazhuang were proposed. [Result] From 2004 to 2007, the unbalance between CO2 and O2 aggravated with the rapid development of Shijiazhuang City's economy, and the ecological land needed increased year by year. If the amount of CO2 released and 02 consumed grows constantly, the area of standard ecological land needed will be about doubled in 2015 compared with 2007 ( 1. 575 6 million hm2 ), namely increasing to 3.566 million hm2. In addition, appropdately improving the area of mixed forest and other vegetation with higher net production, developing some green energy resources like nuclear energy and wind energy and controlling its population could be adopted to reduce the deficit of CO2 and 02 in Shijiazhuang City. ~ ConclusionJ The research could provide theoretical references for the overall plan of land utilization in Shijiazhuang City. Key words Shijiazhuang; Ecological land; Carbon-oxygen balance; Shijiazhuang City; China展开更多
Ecological assessment plays a vital role in sustainable development of the environment,and thus exploration of specific and integrated ecological assessment methods has become a critical task.In this study,based on th...Ecological assessment plays a vital role in sustainable development of the environment,and thus exploration of specific and integrated ecological assessment methods has become a critical task.In this study,based on the concept of oxygen balance and by accommodating both natural factors and socioeconomic elements,we establish an oxygen(O_(2))balance index(OBI),i.e.,the ratio of the O_(2)production from the ecosystem to the O_(2)consumption by human behavior,based on the net primary productivity(NPP),fuel consumption,gross domestic production(GDP),population data,and so on.The results show that the spatial distributions of OBI in China are intimately correlated to the regional vegetation and socioeconomic development.The estimated OBI values are then validated by statistical data from 27 counties in China,and it is found that the OBI reflects the ecological environment status well.Moreover,the average OBI values derived from 190 natural oxygen bars in China reveal extreme imbalance between O_(2)production and consumption in highly developed regions,especially in the cities,in contrast to good O_(2)balance in areas with high-quality ecological status and less industrialization.The findings from this study have quantitatively captured the regional ecological quality,providing guidance for sustainable natural and socioeconomic developments in local areas of China.展开更多
基金financially supported by the National Natural Science Foundation of China (Nos.51974023 and52374321)the funding of State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing,China (No.41620007)。
文摘The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based on oxygen balance mechanism (OBM) and deep neural network (DNN) was established for predicting oxygen blowing time in converter. A three-step method was utilized in the hybrid model. First, the oxygen consumption volume was predicted by the OBM model and DNN model, respectively. Second, a more accurate oxygen consumption volume was obtained by integrating the OBM model and DNN model. Finally, the converter oxygen blowing time was calculated according to the oxygen consumption volume and the oxygen supply intensity of each heat. The proposed hybrid model was verified using the actual data collected from an integrated steel plant in China, and compared with multiple linear regression model, OBM model, and neural network model including extreme learning machine, back propagation neural network, and DNN. The test results indicate that the hybrid model with a network structure of 3 hidden layer layers, 32-16-8 neurons per hidden layer, and 0.1 learning rate has the best prediction accuracy and stronger generalization ability compared with other models. The predicted hit ratio of oxygen consumption volume within the error±300 m^(3)is 96.67%;determination coefficient (R^(2)) and root mean square error (RMSE) are0.6984 and 150.03 m^(3), respectively. The oxygen blow time prediction hit ratio within the error±0.6 min is 89.50%;R2and RMSE are0.9486 and 0.3592 min, respectively. As a result, the proposed model can effectively predict the oxygen consumption volume and oxygen blowing time in the converter.
基金TheNationalNaturalScienceFoundationofChina(No .495 710 64 )andGuangdongEnvironmentalProtectionBureau (No .1999 15 )
文摘The plant biomass and net primary production(NPP) of urban vegetation in Guangzhou were estimated by dimension analysis, tree truck volume, and harvest methods as well as relationship between biomass and NPP and so on. The biomass and NPP were respectively 2875150t and 1058122 t/a. They were respectively 392495t and 64948 t/a in the built-up area and 2482655t and 993147 t/a in the unbuilt-up area. It would make plant biomass, especially NPP decline obviously, if the unbuilt-up area were changed to the built-up area. The carbon content of plant was 1328649 for the total and 13.78 t/hm 2 for the mean, and amounts of carbon fixed and oxygen made by urban vegetation were respectively 4.80 t/(hm 2·a) and 12.79 t/(hm 2·a) for the mean and 462624 t/a and 1232430 t/a for the total, which were equal to 1.45 times and 1.04 times of those by human breathing. However, they were only equal to 7.61% and 4.97% of amount of carbon released and oxygen consumption in urban Guangzhou. The biomass and NPP of urban vegetation in Guangzhou only corresponded to 7.8% and 47.3% of those of southern subtropical evergreen broad-leaf forest in Dinghu Mountain. Therefore, the roles of Guangzhou urban vegetation in balance of carbon and oxygen would be increased greatly if it could be conserved and improved in some way.
基金Under the auspices of Key Direction in Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-YW-450, KZCX2-YW-422)
文摘The application of human induced oxygen consumption and carbon emission theory in urban region was summed up and on this base a new model of urban carbon and oxygen balance (UCOB) was constructed by calculating the carbon and oxygen fluxes. The purpose was to highlight the role of vegetation in urban ecosystems and evaluate the effects of various human activities on urban annual oxygen consumption and carbon emission. Hopefully,the model would be helpful in theory to keep the regional balance of carbon and oxygen,and provide guidance and support for urban vegetation planning in the future. To test the UCOB model,the Jimei District of Xiamen City,Fujian Province,China,a very typical urban region,was selected as a case study. The results turn out that Jimei′s vegetation service in oxygen emission and carbon sequestration could not meet the demand of the urban population,and more than 31.49 times of vegetation area should be added to meet the whole oxygen consumption in Jimei while 9.60 times of vegetation area are needed to meet the carbon sequestration targets. The results show that the new UCOB model is of a great potential to be applied to quantitative planning of urban vegetation and regional eco-compensation mechanisms.
文摘Objective: To evaluate the effects of various degrees of hyperventilation on balance of cerebral oxygensupply and consumption during intravenous general anesthesia with jugular venous oxygen saturation monitoringMetbods: Sixty-six patients with supratentorial tumor undergoing intravenous general anesthesia for brain surgerywere randomly divided into three groups. In group Ⅰ, Ⅱ and Ⅲ, end-tidal pressure of Co2(PETCO2) were maintained at 3. 5, 4. 0 and 4. 5 kPa respectively. Radial arterial blood samples and jugular bulb blood samples weretaken synchronously at 60 min after hyperventilation to measure jugular venous oxygen saturation (SjvO2), cerebral extraction of oxygen (CEO2) and cerebral arteriovenous oxygen content difference (AVDO2) were calculatedResults: In group Ⅰ after hyperventilation, SjvO, and jugular venous oxygen content (CjvO2) were decreasedmarkedly while CEO2 was increased significantly, which was different significantly compared with the baseline andcorresponding value in group Ⅱ and Ⅲ (P<0. 05). After hyperventilation in group, and, SjvO2 CjvO2, CEO2and AVDO, remained unchanged. Conclusion: This study shows that sustained excessive hyperventilation (PETCO23.5 kPa) may account for the less favorable cerebral oxygen supply and consumption balance and maintained PETCO, at 4. 0~4. 5 kPa was optimal hyperventilation for brain surgery anesthesia.
基金Supported by Natural Science Foundation of Hebei Province,China (D2010000867)Science and Technology Innovation Foundation for the Undergraduates of Hebei University of Science and Technology (10097)
文摘[Objective] The study aimed to analyze ecological land demand of Shijiazhuang City on the basis of carbon-oxygen balance method. [Method] Firstly, the release and absorption of CO2 and O2 in Shijiazhuang City during 2004 -2007 were studied by using carbon-oxygen balance method, and the ecological land area needed for carbon-oxygen balance was calculated, then the ecological land area needed for carbon-oxygen balance in 2015 was predicted. Finally, some measures to reduce the deficit of CO2 and O2 in Shijiazhuang were proposed. [Result] From 2004 to 2007, the unbalance between CO2 and O2 aggravated with the rapid development of Shijiazhuang City's economy, and the ecological land needed increased year by year. If the amount of CO2 released and 02 consumed grows constantly, the area of standard ecological land needed will be about doubled in 2015 compared with 2007 ( 1. 575 6 million hm2 ), namely increasing to 3.566 million hm2. In addition, appropdately improving the area of mixed forest and other vegetation with higher net production, developing some green energy resources like nuclear energy and wind energy and controlling its population could be adopted to reduce the deficit of CO2 and 02 in Shijiazhuang City. ~ ConclusionJ The research could provide theoretical references for the overall plan of land utilization in Shijiazhuang City. Key words Shijiazhuang; Ecological land; Carbon-oxygen balance; Shijiazhuang City; China
基金Supported by the National Key Research and Development Program of China(2021YFB3901002)GaoFen Project(32-Y30F08-9001-20/22)+1 种基金National Natural Science Foundation of China(41977191)Innovation Fund of Public Meteorological Service Centre,China Meteorological Administration(K2021003).
文摘Ecological assessment plays a vital role in sustainable development of the environment,and thus exploration of specific and integrated ecological assessment methods has become a critical task.In this study,based on the concept of oxygen balance and by accommodating both natural factors and socioeconomic elements,we establish an oxygen(O_(2))balance index(OBI),i.e.,the ratio of the O_(2)production from the ecosystem to the O_(2)consumption by human behavior,based on the net primary productivity(NPP),fuel consumption,gross domestic production(GDP),population data,and so on.The results show that the spatial distributions of OBI in China are intimately correlated to the regional vegetation and socioeconomic development.The estimated OBI values are then validated by statistical data from 27 counties in China,and it is found that the OBI reflects the ecological environment status well.Moreover,the average OBI values derived from 190 natural oxygen bars in China reveal extreme imbalance between O_(2)production and consumption in highly developed regions,especially in the cities,in contrast to good O_(2)balance in areas with high-quality ecological status and less industrialization.The findings from this study have quantitatively captured the regional ecological quality,providing guidance for sustainable natural and socioeconomic developments in local areas of China.