Theoretical-based ocean wave retrieval algorithms are applied by inverting a synthetic aperture radar(SAR)intensity spectrum into a wave spectrum, that has been developed based on a SAR wave mapping mechanism. In our ...Theoretical-based ocean wave retrieval algorithms are applied by inverting a synthetic aperture radar(SAR)intensity spectrum into a wave spectrum, that has been developed based on a SAR wave mapping mechanism. In our previous studies, it was shown that the wave retrieval algorithm, named the parameterized first-guess spectrum method(PFSM), works for C-band and X-band SAR at low to moderate sea states. In this work, we investigate the performance of the PFSM algorithm when it is applied for dual-polarization c-band sentinel-1(S-1) SAR acquired in extra wide-swath(EW) and interferometric wide-swath(IW) mode under cyclonic conditions.Strong winds are retrieved from six vertical-horizontal(VH) polarization S-1 SAR images using the c-band crosspolarization coupled-parameters ocean(C-3 PO) model and then wave parameters are obtained from the image at the vertical-vertical(VV) polarization channel. significant wave height(SWH) and mean wave period(MWP) are compared with simulations from the WAVEWATCH-III(WW3) model. The validation shows a 0.69 m root mean square error(RMSE) of SWH with a –0.01 m bias and a 0.62 s RMSE of MWP with a –0.17 s bias. Although the PFSM algorithm relies on a good quality SAR spectrum, this study confirms the applicability for wave retrieval from an S-1 SAR image. Moreover, it is found that the retrieved results have less accuracy on the right sector of cyclone eyes where swell directly affects strong wind-sea, while the PFSM algorithm works well on the left and rear sectors of cyclone eyes where the interaction of wind-sea and swell is relatively poor.展开更多
Gaofen-3(GF-3),a Chinese civil synthetic aperture radar(SAR)at C-band,has operated since August 2016.Remarkably,several typhoons have been captured by GF-3 around the China Seas over its last two-year mission.In this ...Gaofen-3(GF-3),a Chinese civil synthetic aperture radar(SAR)at C-band,has operated since August 2016.Remarkably,several typhoons have been captured by GF-3 around the China Seas over its last two-year mission.In this study,six images acquired in Global Observation(GLO)and Wide ScanSAR(WSC)modes at verticalvertical(VV)polarization channel are discussed.This work focuses on investigating the observation of rainfall using GF-3 SAR.These images were collocated with winds from the European Centre for Medium-Range Weather Forecasts(ECMWF),significant wave height simulated from the WAVEWATCH-III(WW3)model,sea surface currents from climate forecast system version 2(CFSv2)of the National Centers for Environmental Prediction(NCEP)and rain rate data from the Tropical Rainfall Measuring Mission(TRMM)satellite.Sea surface roughness,was compared with the normalized radar cross section(NRCS)from SAR observations,and indicated a 0.8 correlation(COR).We analyzed the dependences of the difference between model-simulated NRCS and SARmeasured NRCS on the TRMM rain rate and WW3-simulated significant wave height.It was found that the effects of rain on SAR damps the radar signal at incidence angles ranging from 15°to 30°,while it enhances the radar signal at incidence angles ranging from 30°to 45°and incidence angles smaller than 10°.This behavior is consistent with previous studies and an algorithm for rain rate retrieval is anticipated for GF-3 SAR.展开更多
Electrical capacitance tomography(ECT)has great application potential inmultiphase processmonitoring,and its visualization results are of great significance for studying the changes in two-phase flow in closed environ...Electrical capacitance tomography(ECT)has great application potential inmultiphase processmonitoring,and its visualization results are of great significance for studying the changes in two-phase flow in closed environments.In this paper,compressed sensing(CS)theory based on dictionary learning is introduced to the inverse problem of ECT,and the K-SVD algorithm is used to learn the overcomplete dictionary to establish a nonlinear mapping between observed capacitance and sparse space.Because the trained overcomplete dictionary has the property to match few features of interest in the reconstructed image of ECT,it is not necessary to rely on the sparsity of coefficient vector to solve the nonlinear mapping as most algorithms based on CS theory.Two-phase flow distribution in a cylindrical pipe was modeled and simulated,and three variations without sparse constraint based on Landweber,Tikhonov,and Newton-Raphson algorithms were used to rapidly reconstruct a 2-D image.展开更多
A detailed investigation of seven heavy metals （Cu, Cd, Cr, As, Pb, Zn, Ni） in the water column, interstitial water and surface sediment was conducted to quantify the extent of their contamination in Taihu Lake. Res...A detailed investigation of seven heavy metals （Cu, Cd, Cr, As, Pb, Zn, Ni） in the water column, interstitial water and surface sediment was conducted to quantify the extent of their contamination in Taihu Lake. Results showed the average total concentrations ranged from 0.93μg/L for Cd to 47.03 μg/L for Zn. The dissolved concentrations in the overlying water ranged from 0.06μg/L for Cd to 15.86 μg/L for Zn. The metals in the Taihu Lake surface water were primarily in the particulate phase, especially for Cd, whose particulate concentration represented 94.3% of the total. In the surface sediment, the mean concentrations for Cr, Ni, Cu, Zn, As, Cd and Pb were 41.50, 28.72, 27.82, 65.46, 5.94, 0.82 and 41.17 mg/kg, respectively. The metals in the water column and sediments of Taihu Lake displayed significant spatial variations, and the higher metal concentrations mainly occurred in the north and west of Taihu Lake, especially in Zhushan Bay and West Taihu Lake. A quality assessment indicated that most of the metals in the surface water of Taihu Lake had no or low adverse health effects on organisms, except for Pb and Cu, which may cause chronic toxicity. Compared with the ＂Consensus-Based Sediment Quality Guidelines＂, the polluting metals were Cr, Ni and Cd, and the polluted regions were confined to Zhnshan Bay, Meiliang Bay and the west of Taihu Lake, especially for north of Zhushan Bay. The polluted areas for Cr, Ni and Cd were 14.36, 34.70 and 13.24 km2, respectively. We suggest that Cr, Ni, and Cd in the polluted areas should be addressed and that tissue chemistry and sediment toxicity assessments be performed as soon as possible.展开更多
基金The National Key Research and Development Program of China under contract No.2017YFA0604901the National Natural Science Foundation of China under contract Nos 41806005 and 41776183the Public Welfare Technical Applied Research Project of Zhejiang Province of China under contract No.LGF19D060003
文摘Theoretical-based ocean wave retrieval algorithms are applied by inverting a synthetic aperture radar(SAR)intensity spectrum into a wave spectrum, that has been developed based on a SAR wave mapping mechanism. In our previous studies, it was shown that the wave retrieval algorithm, named the parameterized first-guess spectrum method(PFSM), works for C-band and X-band SAR at low to moderate sea states. In this work, we investigate the performance of the PFSM algorithm when it is applied for dual-polarization c-band sentinel-1(S-1) SAR acquired in extra wide-swath(EW) and interferometric wide-swath(IW) mode under cyclonic conditions.Strong winds are retrieved from six vertical-horizontal(VH) polarization S-1 SAR images using the c-band crosspolarization coupled-parameters ocean(C-3 PO) model and then wave parameters are obtained from the image at the vertical-vertical(VV) polarization channel. significant wave height(SWH) and mean wave period(MWP) are compared with simulations from the WAVEWATCH-III(WW3) model. The validation shows a 0.69 m root mean square error(RMSE) of SWH with a –0.01 m bias and a 0.62 s RMSE of MWP with a –0.17 s bias. Although the PFSM algorithm relies on a good quality SAR spectrum, this study confirms the applicability for wave retrieval from an S-1 SAR image. Moreover, it is found that the retrieved results have less accuracy on the right sector of cyclone eyes where swell directly affects strong wind-sea, while the PFSM algorithm works well on the left and rear sectors of cyclone eyes where the interaction of wind-sea and swell is relatively poor.
基金The Fundamental Research Funds for Zhejiang Provincial Universities and Research Institutes under contract No.2019J00010the National Key Research and Development Program of China under contract No.2017YFA0604901+2 种基金the National Natural Science Foundation of China under contract Nos 41806005,41676014 and 41776183the Public Welfare Technical Applied Research Project of Zhejiang Province of China under contract No.LGF19D060003the Science and Technology Project of Zhoushan City under contract No.2019C21008
文摘Gaofen-3(GF-3),a Chinese civil synthetic aperture radar(SAR)at C-band,has operated since August 2016.Remarkably,several typhoons have been captured by GF-3 around the China Seas over its last two-year mission.In this study,six images acquired in Global Observation(GLO)and Wide ScanSAR(WSC)modes at verticalvertical(VV)polarization channel are discussed.This work focuses on investigating the observation of rainfall using GF-3 SAR.These images were collocated with winds from the European Centre for Medium-Range Weather Forecasts(ECMWF),significant wave height simulated from the WAVEWATCH-III(WW3)model,sea surface currents from climate forecast system version 2(CFSv2)of the National Centers for Environmental Prediction(NCEP)and rain rate data from the Tropical Rainfall Measuring Mission(TRMM)satellite.Sea surface roughness,was compared with the normalized radar cross section(NRCS)from SAR observations,and indicated a 0.8 correlation(COR).We analyzed the dependences of the difference between model-simulated NRCS and SARmeasured NRCS on the TRMM rain rate and WW3-simulated significant wave height.It was found that the effects of rain on SAR damps the radar signal at incidence angles ranging from 15°to 30°,while it enhances the radar signal at incidence angles ranging from 30°to 45°and incidence angles smaller than 10°.This behavior is consistent with previous studies and an algorithm for rain rate retrieval is anticipated for GF-3 SAR.
基金This research was supported by the National Natural Science Foundation of China(No.51704229)Outstanding Youth Science Fund of Xi’an University of Science and Technology(No.2018YQ2-01).
文摘Electrical capacitance tomography(ECT)has great application potential inmultiphase processmonitoring,and its visualization results are of great significance for studying the changes in two-phase flow in closed environments.In this paper,compressed sensing(CS)theory based on dictionary learning is introduced to the inverse problem of ECT,and the K-SVD algorithm is used to learn the overcomplete dictionary to establish a nonlinear mapping between observed capacitance and sparse space.Because the trained overcomplete dictionary has the property to match few features of interest in the reconstructed image of ECT,it is not necessary to rely on the sparsity of coefficient vector to solve the nonlinear mapping as most algorithms based on CS theory.Two-phase flow distribution in a cylindrical pipe was modeled and simulated,and three variations without sparse constraint based on Landweber,Tikhonov,and Newton-Raphson algorithms were used to rapidly reconstruct a 2-D image.
基金supported by the National Natural Science Foundation of China (Grant Nos.12192210 and 12192214)the independent project of State Key Laboratory of Traction Power (Grant No.2022TPL-T05).
基金supported by the National Natural Science Foundation of China (No. 21077097)the National Water Project (No. 2008ZX07101-010)
文摘A detailed investigation of seven heavy metals （Cu, Cd, Cr, As, Pb, Zn, Ni） in the water column, interstitial water and surface sediment was conducted to quantify the extent of their contamination in Taihu Lake. Results showed the average total concentrations ranged from 0.93μg/L for Cd to 47.03 μg/L for Zn. The dissolved concentrations in the overlying water ranged from 0.06μg/L for Cd to 15.86 μg/L for Zn. The metals in the Taihu Lake surface water were primarily in the particulate phase, especially for Cd, whose particulate concentration represented 94.3% of the total. In the surface sediment, the mean concentrations for Cr, Ni, Cu, Zn, As, Cd and Pb were 41.50, 28.72, 27.82, 65.46, 5.94, 0.82 and 41.17 mg/kg, respectively. The metals in the water column and sediments of Taihu Lake displayed significant spatial variations, and the higher metal concentrations mainly occurred in the north and west of Taihu Lake, especially in Zhushan Bay and West Taihu Lake. A quality assessment indicated that most of the metals in the surface water of Taihu Lake had no or low adverse health effects on organisms, except for Pb and Cu, which may cause chronic toxicity. Compared with the ＂Consensus-Based Sediment Quality Guidelines＂, the polluting metals were Cr, Ni and Cd, and the polluted regions were confined to Zhnshan Bay, Meiliang Bay and the west of Taihu Lake, especially for north of Zhushan Bay. The polluted areas for Cr, Ni and Cd were 14.36, 34.70 and 13.24 km2, respectively. We suggest that Cr, Ni, and Cd in the polluted areas should be addressed and that tissue chemistry and sediment toxicity assessments be performed as soon as possible.
