Based on the 2016 airgun experimental data of the Fujian Nanyi reservoir,we adopted the frequency domain water-level deconvolution method and cross-correlation time delay detection technique to study the influence of ...Based on the 2016 airgun experimental data of the Fujian Nanyi reservoir,we adopted the frequency domain water-level deconvolution method and cross-correlation time delay detection technique to study the influence of level scaling factor and the background noise level of the station on deconvolution calculation results, and analyze the effect of deconvolution on eliminating the influence of the source caused by different air-gun pressures. The results show that:( 1) When the level scaling factor is smaller,the signal to noise ratio of the waveform after the deconvolution is smaller,and when the level scaling factor is over smaller,the identification error of travel time is greater.( 2) When the SNR of the station record is higher,the recognition accuracy of travel time is higher,the influence of SNR on the reference station record is far greater than the far station,when the SNR of the far station record is more than 10,the error of travel time is within6 ms,but when the SNR of the reference station record is 30,the travel time error may reach to 20 ms.( 3) When the airgun source difference is big,the frequency domain waterlevel deconvolution method has better effect on eliminating the source influence,but the method error may be introduced when the source difference is small.展开更多
为应对传统水网系统面临的运行效率低、安全风险高、人力成本大等挑战,借鉴无人驾驶汽车(autonomous vehicle,AV)在感知、决策、控制和系统架构方面的先进理念及等级划分标准,提出一种自主运行智慧水网(autonomous water network,AWN)...为应对传统水网系统面临的运行效率低、安全风险高、人力成本大等挑战,借鉴无人驾驶汽车(autonomous vehicle,AV)在感知、决策、控制和系统架构方面的先进理念及等级划分标准,提出一种自主运行智慧水网(autonomous water network,AWN)的架构设计,并参照SAE J3016标准提出水网智能化等级(WN-L0至WN-L5)划分方案。继而引入类似AV的域控制器概念,构建水网调度域、水环境安全域、水机设备控制域、水工程设施设备安全域等核心功能域。阐述实现AWN所需的关键技术环节,并探讨端到端与模块化技术路线的可行性。通过展望AWN的未来发展趋势与面临挑战,旨在为未来智慧水网的建设提供理论框架、等级标准和技术路径参考。展开更多
对中国临夏台2013年至2014年两年的井水位和四分量钻孔应变资料进行了预处理以消除趋势与突跳.根据文献(Means,1982;Young and Budynas,2005),相互正交的两条测线的应变观测值之和等于面应变.文献(刘序俨等,1988)证明近地表的面应变的2/...对中国临夏台2013年至2014年两年的井水位和四分量钻孔应变资料进行了预处理以消除趋势与突跳.根据文献(Means,1982;Young and Budynas,2005),相互正交的两条测线的应变观测值之和等于面应变.文献(刘序俨等,1988)证明近地表的面应变的2/3等于体应变,因此,可由4分量钻孔应变观测值得到钻孔体应变,然后根据体应变与井水位观测资料,从时域和频域对该钻孔系统的性质进行了论证.结果表明,在时域,体应变与井水位高度负相关.钻孔系统的灵敏度为—0.1620mm/10-9.把两年中的某两个月份的两者时间坐标轴和纵轴比例尺放大,发现井水位曲线的峰/谷与体应变观测曲线的谷/峰一一对应,两者的相位滞后非常小.在频域内,本文采用Venedikov调和分析方法分别取得了井水位与体应变9个月的半日波与全日波数个波群的逐月潮汐因子与相位滞后,然后作简单计算,得到了钻孔系统对上述波群的灵敏度与相位滞后.结果表明9个月中大多数波群的灵敏度不但十分相近,且非常接近由时域得到的周年频率分量的灵敏度,但相位滞后误差较大,本文对此进行了分析,认为由反正切得到的相位滞后受计算误差影响较大,应以时域经审视所得的相位滞后接近于零为准.通过时域与频域的分析,表明井水位对体应变的响应基本是线性时不变的,论证了临夏台钻孔系统基本上满足了叠加性、齐次性与时不变性,基本上为一线性时不变系统.展开更多
基金“Analysis of Accuracyof Airgun Source in Monitoring Crustal Media Change and Its Influence Factors”,the National Natural Science Foundation of China(41774068)and Special Fund for Science and Technology,Fujian Earthquake Agency(SF201709)
文摘Based on the 2016 airgun experimental data of the Fujian Nanyi reservoir,we adopted the frequency domain water-level deconvolution method and cross-correlation time delay detection technique to study the influence of level scaling factor and the background noise level of the station on deconvolution calculation results, and analyze the effect of deconvolution on eliminating the influence of the source caused by different air-gun pressures. The results show that:( 1) When the level scaling factor is smaller,the signal to noise ratio of the waveform after the deconvolution is smaller,and when the level scaling factor is over smaller,the identification error of travel time is greater.( 2) When the SNR of the station record is higher,the recognition accuracy of travel time is higher,the influence of SNR on the reference station record is far greater than the far station,when the SNR of the far station record is more than 10,the error of travel time is within6 ms,but when the SNR of the reference station record is 30,the travel time error may reach to 20 ms.( 3) When the airgun source difference is big,the frequency domain waterlevel deconvolution method has better effect on eliminating the source influence,but the method error may be introduced when the source difference is small.
文摘为应对传统水网系统面临的运行效率低、安全风险高、人力成本大等挑战,借鉴无人驾驶汽车(autonomous vehicle,AV)在感知、决策、控制和系统架构方面的先进理念及等级划分标准,提出一种自主运行智慧水网(autonomous water network,AWN)的架构设计,并参照SAE J3016标准提出水网智能化等级(WN-L0至WN-L5)划分方案。继而引入类似AV的域控制器概念,构建水网调度域、水环境安全域、水机设备控制域、水工程设施设备安全域等核心功能域。阐述实现AWN所需的关键技术环节,并探讨端到端与模块化技术路线的可行性。通过展望AWN的未来发展趋势与面临挑战,旨在为未来智慧水网的建设提供理论框架、等级标准和技术路径参考。
文摘对中国临夏台2013年至2014年两年的井水位和四分量钻孔应变资料进行了预处理以消除趋势与突跳.根据文献(Means,1982;Young and Budynas,2005),相互正交的两条测线的应变观测值之和等于面应变.文献(刘序俨等,1988)证明近地表的面应变的2/3等于体应变,因此,可由4分量钻孔应变观测值得到钻孔体应变,然后根据体应变与井水位观测资料,从时域和频域对该钻孔系统的性质进行了论证.结果表明,在时域,体应变与井水位高度负相关.钻孔系统的灵敏度为—0.1620mm/10-9.把两年中的某两个月份的两者时间坐标轴和纵轴比例尺放大,发现井水位曲线的峰/谷与体应变观测曲线的谷/峰一一对应,两者的相位滞后非常小.在频域内,本文采用Venedikov调和分析方法分别取得了井水位与体应变9个月的半日波与全日波数个波群的逐月潮汐因子与相位滞后,然后作简单计算,得到了钻孔系统对上述波群的灵敏度与相位滞后.结果表明9个月中大多数波群的灵敏度不但十分相近,且非常接近由时域得到的周年频率分量的灵敏度,但相位滞后误差较大,本文对此进行了分析,认为由反正切得到的相位滞后受计算误差影响较大,应以时域经审视所得的相位滞后接近于零为准.通过时域与频域的分析,表明井水位对体应变的响应基本是线性时不变的,论证了临夏台钻孔系统基本上满足了叠加性、齐次性与时不变性,基本上为一线性时不变系统.
