Determination of grounding line on the Amery Ice Shelf using Sentinel-1 radar interferometry data

Delineation of the grounding line(GL) is necessary for calculating the mass balance of Antarctica, but GL measurements for most of the continent remain at a relatively coarse level. We used Sentinel-1 constellation data to map the GL of the Amery Ice Shelf(AIS) using double-differential synthetic aperture radar interferometry. The ice thickness anomaly deduced from hydrostatic equilibrium and existing Antarctic GL products is compared with our result. With this new and very accurate GL, we detected new ice rises in the north of the AIS. Our new measurement shows no major change of the AIS GL, particularly in the southernmost part.

Retrieving the grounding lines of the Riiser-Larsen Ice Shelf using Sentinel-1 SAR images

Accurately locating and studying grounding lines is essential for predicting the response of glaciers to climate change.However,it is challenging tofind grounding lines since they are subglacial features.In this study,Sentinel-1 synthetic aperture radar(SAR)data were utilized to derive the grounding lines of the Riiser-Larsen Ice Shelf.A new method with inspiration drawn from multi-temporal baseline InSAR techniques is proposed.It takes advantage of the temporal consistency of the vertical displacement gradients and identifies grounding zones pixel-by-pixel on a stack of double differential interferograms,thereby providing grounding line proxies.As it fully exploits coherent signals in both spatial and temporal domains,the maximum possible number of grounding zone pixels can be obtained.Moreover,due to the introduction of the concept of the temporal consistency,the method can cope with short term grounding linefluctuations to some extent and may mitigate the influences of atmospheric disturbances and residual ice displacements.The resulting grounding lines are compared with the MEaSUREs Antarctic grounding line product.The comparison confirms the effectiveness of the proposed method and corroborates that the Riiser-Larsen Ice Shelf should have not undergone significant changes over the past few decades.

Dynamic physical characteristics of DC arc on arcing horn for HVDC grounding electrode line

The dynamic physical characteristics of a DC arc on an arcing horn for a high voltage direct current(HVDC)grounding electrode line are significantly different from those of the switching device arc,secondary arc,AC fault arc and pantograph-catenary arc.In this work,an experimental platform for the DC arc on the arcing horn was built,and mechanisms of the arc column short circuit and arc root movement were studied.This work further analyzes the characteristics and mechanisms of the arc motion when wind speed and direction,magnetic field and the expansion angle of the electrode are varied.Arc root movement is more likely to occur at the upper electrode.There is a competitive relationship between arc expansion and the transferring effect.The effect of wind on the arc column is greater than the effect on the arc root.The magnetic field has a significant driving effect on both the arc column and the arc root.The research results provide a comprehensive experimental basis for forther probing the method of DC arc suppression,and the improvement of the arcing horn.

A comprehensive assessment and analysis of Antarctic satellite grounding line products from 1992 to 2009

In this paper,we present the results of a comprehensive assessment and analysis of five major Antarctic grounding line(GL)products from remote sensing data.The systematic assessment of this large amount of GL data was performed using a new two-step framework and implementation strategy,in which 84.4%of the product data were processed effectively by using a set of developed assessment metrics,with the remaining 15.6%handled by a comprehensive manual processing procedure aided by additional multisource data.The radar GL product shows a high quality(inconsistency of 0.3%)and is recommended for use wherever available.Meanwhile,the optical image GL products show a lower quality(inconsistency of 3-12%)but offer complete coverage,particularly in areas of weak tides.The GL analysis based on the assessed products(1992–2009)showed that 9.5%of the entire Antarctic GL were retreating or advancing,classified as a dynamic state.At the basin scale,the highest retreat rate was−1544±51 m a^(-1) in Basin 22(including Pine Island Glacier)and the highest advancement rate was 304±16 m a^(-1) in Basin 14(including Mertz Glacier).The West Antarctic Ice Sheet(WAIS)and the East Antarctic Ice Sheet(EAIS)showed the average GL change rates of−370±8 m a^(-1) and 5±7 m a^(-1),respectively,indicating that there was a clear trend of GL retreat in WAIS and a balanced to slightly advanced GL state in EAIS(except for the region around Totten).

Research on Common Grounding Electrode Technique in HVDC

This paper discusses the characteristics of DC transmission common system ground electrode type and shared ground electrode, established the mathematical model of two circuit DC systems share ground electrode, analyze effects of the shared loop ground DC transmission system electrode on the operation of HVDC system size under different operation modes, and compare with the independent ground electrode, ground electrode impact on environment under different operation mode, and the paper finally puts forward some solving measures for the influence of the shared ground electrode on the environment and public ground electrode effects on DC system operation problems.

Analysis on the Cause and Forecast Deviation of an Extreme Rainstorm in Changsha Urban Area

Using NCEP reanalysis data,high-altitude and ground observation data,numerical model data,satellite and radar data,formation cause and forecast deviation of an extreme rainstorm process in Changsha urban area at night on June 9,2020 were analyzed.The results showed that(1)the extreme rainstorm process developed near the surface convergence line,with strong localization,short duration and large hourly rainfall intensity.(2)Under the high temperature and high humidity environment,the low-level cold advection and the hot low-pressure system interacted,and the potential con-vective unstable energy was released,and a strong convective weather was formed.(3)The convergence of water vapor in the lower layer and the strong upward movement provided sufficient water vapor for the rainstorm.The low-centroid thunderstorm was the main reason for the extreme rainstorm.(4)The forecast deviation of the numerical model to the low-level shear line and the mesoscale convergence line was an important reason for the forecast deviation of the heavy rainfall area.

Study on Mesoscale Circulation Characteristics of Heavy Rainstorm in Wangmo County in Qianxinan on June 6,2011

[Objective] The aim was to analyze the causes of '6.06' heavy rainstorm in Wangmo County in Qianxinan.[Method] By dint of NCEP/NCAR 1°×1° reanalysis data,FY-2E TBB data,seven ground elements and two elements from automatic station data,the main influential system and all kinds of physical quantity field features of heavy rainstorm in upper reaches of Wangmo County in Qianxinan from the evening on 5 June to 08:00 on 6 June in 2011 were studied.[Result] The rainstorm was the result of cold air,which was provided by 850 hPa cold shear line and ground radiation line,and warm and wet airstream on the northwest edge of subtropical high.MCS was the main reason for such heavy rainstorm.Southwest warm and wet airstream in middle lower part provided sufficient water vapor for the rainstorm.The 850 hPa water vapor flux divergence center moved from north to south along ground convergence line to Qianxinan.Rainfall location and water vapor flux as well as convergence center were corresponding.The rainfall intensity also was consistent with the amount of water vapor flux and water vapor convergence.[Conclusion] The study provided reference for the report of heavy rainstorm.

Measured Impedance and Threshold Value of Electrode Line Impedance Supervision Based Protection in HVDC Transmission System

At present,electrode line impedance supervision(ELIS)based protection is widely used to detect faults on grounding electrode lines,which are indispensable elements of high-voltage direct current(HVDC)systems.The existing theoretical analysis of measured impedance is based on lumped line model and the threshold value is generally set according to engineering experience,which have caused the dead zone problem and even accidents.Therefore,a study on measured impedance of ELIS-based protection and its threshold value selection method is carried out to solve this problem.In this study,the expressions of measured impedance under normal operation and fault conditions are deduced based on rigorous and accurate line model.Based on the expressions,the characteristics of the measured impedance are calculated and analyzed.With the characteristics of the measured impedance,the applicability of the protection with the traditional threshold value is further discussed and the distribution of the dead zone can be located.Then,the method to calculate the threshold value of ELIS-based protection is proposed.With a proper threshold value selected by the proposed method,the dead zone of ELIS-based protection is effectively eliminated,and the protection can identify all types of faults even with large transition resistances.Case studies on PSCAD/EMTDC have been conducted to verify the conclusion.

Faulty Feeder Identification in Resonant Grounding Distribution Networks Based on Deep Learning and Transfer Learning

Identification of faulty feeders in resonant grounding distribution networks remains a significant challenge dueto the weak fault current and complicated working conditions.In this paper, we present a deep learning-based multi-labelclassification framework to reliably distinguish the faulty feeder.Three different neural networks (NNs) including the multilayerperceptron, one-dimensional convolutional neural network (1DCNN), and 2D CNN are built. However, the labeled data maybe difficult to obtain in the actual environment. We use thesimplified simulation model based on a full-scale test field (FSTF)to obtain sufficient labeled source data. Being different frommost learning-based methods, assuming that the distribution ofsource domain and target domain is identical, we propose asamples-based transfer learning method to improve the domainadaptation by using samples in the source domain with properweights. The TrAdaBoost algorithm is adopted to update theweights of each sample. The recorded data obtained in the FSTFare utilized to test the domain adaptability. According to ourvalidation and testing, the validation accuracies are high whenthere is sufficient labeled data for training the proposed NNs.The proposed 2D CNN has the best domain adaptability. TheTrAdaBoost algorithm can help the NNs to train an efficientclassifier that has better domain adaptation. It has been thereforeconcluded that the proposed method, especially the 2D CNN, issuitable for actual distribution networks.