One of the largest known megafloods on earth resulted from a glacier dam-break,which occurred during the Late Quaternary in the Altai Mountains in Southern Siberia.Computational modeling is one of the viable approache...One of the largest known megafloods on earth resulted from a glacier dam-break,which occurred during the Late Quaternary in the Altai Mountains in Southern Siberia.Computational modeling is one of the viable approaches to enhancing the understanding of the flood events.The computational domain of this flood is over 9460 km2 and about 3.784 × 106 cells are involved as a 50 m × 50 m mesh is used,which necessitates a computationally efficient model.Here the Open MP(Open Multiprocessing) technique is adopted to parallelize the code of a coupled 2D hydrodynamic and sediment transport model.It is shown that the computational efficiency is enhanced by over 80% due to the parallelization.The floods over both fixed and mobile beds are well reproduced with specified discharge hydrographs at the dam site.Qualitatively,backwater effects during the flood are resolved at the bifurcation between the Chuja and Katun rivers.Quantitatively,the computed maximum stage and thalweg are physically consistent with the field data of the bars and deposits.The effects of sediment transport and morphological evolution on the flood are considerable.Sensitivity analyses indicate that the impact of the peak discharge is significant,whilst those of the Manningroughness,medium sediment size and shape of the inlet discharge hydrograph are marginal.展开更多
This paper experimentally studied the effect of CO_(2) opposing multiple jets on the thermoacoustic instability and NO_(x) emissions in a lean-premixed model combustor.The feasibility was verified from three variables...This paper experimentally studied the effect of CO_(2) opposing multiple jets on the thermoacoustic instability and NO_(x) emissions in a lean-premixed model combustor.The feasibility was verified from three variables:the CO_(2) jet flow rate,hole numbers,and hole diameters of the nozzles.Results indicate that the control effect of thermoacoustic instability and NO_x emissions show a reverse trend with the increase of open area ratio on the whole,and the optimal jet flow rate range is 1-4 L/min with CO_(2) opposing multiple jets.In this flow rate range,the amplitude and frequency of the dynamic pressure and heat release signals CH~* basically decrease as the CO_(2) flow rate increases,which avoids high-frequency and high-amplitude thermoacoustic instability.The amplitude-damped ratio of dynamic pressure and CH*can reach as high as 98.75% and 93.64% with an optimal open area ratio of 3.72%.NO_(x) emissions also decrease as the jet flow rate increases,and the maximum suppression ratio can reach 68.14%.Besides,the flame shape changes from a steep inverted "V" to a more flat "M",and the flame length will become shorter with CO_(2) opposing multiple jets.This research achieved the synchronous control of thermoacoustic instability and NO_(x) emissions,which could be a design reference for constructing a safer and cleaner combustor.展开更多
In order to reduce the occurrence of traffic accidents and assist drivers to avoid dangerous driving. This paper presents a smart in-vehicle safety system that utilises the Yolov5 algorithm. Yolov5 algorithm is used t...In order to reduce the occurrence of traffic accidents and assist drivers to avoid dangerous driving. This paper presents a smart in-vehicle safety system that utilises the Yolov5 algorithm. Yolov5 algorithm is used to anticipate driver fatigue and distraction behaviours, and remind drivers to pay attention to safe driving in time. The system continuously splits the frames and analyses the frame content through the video feedback from the front camera, compared to the traditional machine learning, Yolov5’s mosaic data is enhanced, resulting in a batch size enhancement of 92.3%, and it also uses the Drop Block mechanism to prevent overfitting. The hardware of this system uses STM32 microcontroller and uses system DMA interrupt control and buzzer alarm device to warn about dangerous driving behaviour.展开更多
Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenge...Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.展开更多
为了高效、准确地从高分辨率遥感影像中提取裸岩,利用国产高分二号(GF-2)影像数据,通过构建斜率差异裸岩指数模型(slope difference bare rock index,简称SDBRI)和裸岩阴影指数模型(bare rock shadow index,简称BRSI),提出了亚米级高分...为了高效、准确地从高分辨率遥感影像中提取裸岩,利用国产高分二号(GF-2)影像数据,通过构建斜率差异裸岩指数模型(slope difference bare rock index,简称SDBRI)和裸岩阴影指数模型(bare rock shadow index,简称BRSI),提出了亚米级高分影像的露天矿区裸岩提取技术方案.以青州市南部山区为试验区对此方法进行检验,结果表明:在SDBRI指数图像中,裸岩能够与周边植被较好区分,裸岩与其他地物的可分性显著高于NDVI、CRI1、CRI2等指数模型;以基于谷歌地球高清影像的目视解译结果作为验证数据进行精度评估,交并比(IoU)指标达到91%左右.此方法能够满足基于国产高分影像数据进行大范围矿区裸岩制图的需求,可以为矿山环境的遥感监测提供技术支持,具有较强的实践价值.展开更多
基金funded by Natural Science Foundation of China (Grants No. 11172217 and 11432015)National Key Basic Research and Development Program (i.e., 973 Program) of China (Grant No. 2007CB714106)
文摘One of the largest known megafloods on earth resulted from a glacier dam-break,which occurred during the Late Quaternary in the Altai Mountains in Southern Siberia.Computational modeling is one of the viable approaches to enhancing the understanding of the flood events.The computational domain of this flood is over 9460 km2 and about 3.784 × 106 cells are involved as a 50 m × 50 m mesh is used,which necessitates a computationally efficient model.Here the Open MP(Open Multiprocessing) technique is adopted to parallelize the code of a coupled 2D hydrodynamic and sediment transport model.It is shown that the computational efficiency is enhanced by over 80% due to the parallelization.The floods over both fixed and mobile beds are well reproduced with specified discharge hydrographs at the dam site.Qualitatively,backwater effects during the flood are resolved at the bifurcation between the Chuja and Katun rivers.Quantitatively,the computed maximum stage and thalweg are physically consistent with the field data of the bars and deposits.The effects of sediment transport and morphological evolution on the flood are considerable.Sensitivity analyses indicate that the impact of the peak discharge is significant,whilst those of the Manningroughness,medium sediment size and shape of the inlet discharge hydrograph are marginal.
基金supported by the National Science Fund for Distinguished Young Scholars (Grant No. 51825605)。
文摘This paper experimentally studied the effect of CO_(2) opposing multiple jets on the thermoacoustic instability and NO_(x) emissions in a lean-premixed model combustor.The feasibility was verified from three variables:the CO_(2) jet flow rate,hole numbers,and hole diameters of the nozzles.Results indicate that the control effect of thermoacoustic instability and NO_x emissions show a reverse trend with the increase of open area ratio on the whole,and the optimal jet flow rate range is 1-4 L/min with CO_(2) opposing multiple jets.In this flow rate range,the amplitude and frequency of the dynamic pressure and heat release signals CH~* basically decrease as the CO_(2) flow rate increases,which avoids high-frequency and high-amplitude thermoacoustic instability.The amplitude-damped ratio of dynamic pressure and CH*can reach as high as 98.75% and 93.64% with an optimal open area ratio of 3.72%.NO_(x) emissions also decrease as the jet flow rate increases,and the maximum suppression ratio can reach 68.14%.Besides,the flame shape changes from a steep inverted "V" to a more flat "M",and the flame length will become shorter with CO_(2) opposing multiple jets.This research achieved the synchronous control of thermoacoustic instability and NO_(x) emissions,which could be a design reference for constructing a safer and cleaner combustor.
文摘In order to reduce the occurrence of traffic accidents and assist drivers to avoid dangerous driving. This paper presents a smart in-vehicle safety system that utilises the Yolov5 algorithm. Yolov5 algorithm is used to anticipate driver fatigue and distraction behaviours, and remind drivers to pay attention to safe driving in time. The system continuously splits the frames and analyses the frame content through the video feedback from the front camera, compared to the traditional machine learning, Yolov5’s mosaic data is enhanced, resulting in a batch size enhancement of 92.3%, and it also uses the Drop Block mechanism to prevent overfitting. The hardware of this system uses STM32 microcontroller and uses system DMA interrupt control and buzzer alarm device to warn about dangerous driving behaviour.
文摘Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.
文摘为了高效、准确地从高分辨率遥感影像中提取裸岩,利用国产高分二号(GF-2)影像数据,通过构建斜率差异裸岩指数模型(slope difference bare rock index,简称SDBRI)和裸岩阴影指数模型(bare rock shadow index,简称BRSI),提出了亚米级高分影像的露天矿区裸岩提取技术方案.以青州市南部山区为试验区对此方法进行检验,结果表明:在SDBRI指数图像中,裸岩能够与周边植被较好区分,裸岩与其他地物的可分性显著高于NDVI、CRI1、CRI2等指数模型;以基于谷歌地球高清影像的目视解译结果作为验证数据进行精度评估,交并比(IoU)指标达到91%左右.此方法能够满足基于国产高分影像数据进行大范围矿区裸岩制图的需求,可以为矿山环境的遥感监测提供技术支持,具有较强的实践价值.
