Use of a trench adjacent to a shallow foundation as a mitigation measure for hazards associated with reverse faulting     

Sadra  Vahid  Ghalandarzadeh  Abbas  Ashtiani  Mehdi 《Acta Geotechnica》2020,15(11):3167-3182

Acta Geotechnica - Evidence from recent earthquakes reminds us that fault-induced permanent ground displacement has a devastating effect on structures in addition to damage caused by wave...  相似文献   

Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis     

Hajeb  Masoud  Karimzadeh  Sadra  Fallahi  Abdolhossein 《Natural Hazards》2020,103(1):347-366

Natural Hazards - The synthetic aperture radar SAR system with the capability of imaging during the night, day, and the all-weather conditions has a high potential in change detection on the ground...  相似文献   

Topographic characterization of seismic networks using topographic position index and Voronoi tiles: a case of the Hokuriku region,Japan     

Sadra Karimzadeh  Masakatsu Miyajima  Toshikazu Ikemoto 《Arabian Journal of Geosciences》2018,11(5):99

Usually, seismic record stations are established in various topographic slope positions, from valleys to ridges. In most previous studies, topographic amplification factor (TAF) is proposed as one of the indicators of earthquake wave amplification which can lead to overestimation of earthquake magnitudes in seismic networks. This paper uses an indicator called the “Topographic Position Index” for topographic characterization of seismic stations in the Hokuriku region, Japan, and deals with a seismic individuation method through Voronoi tessellation, which is a spatial approach, to propose suitable sites for topographically unbiased or less-biased seismic stations.  相似文献   

A fast topographic characterization of seismic station locations in Iran through integrated use of digital elevation models and GIS     

Sadra Karimzadeh  Masakatsu Miyajima  Batoul Kamel  Vera Pessina 《Journal of Seismology》2015,19(4):949-967

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Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River,U.S.     

Sadra Shadkani  Akram Abbaspour  Saeed Samadianfard  Sajjad Hashemi  Amirhosein Mosavi  Shahab S.Band 《国际泥沙研究》2021,36(4):512-523

Monitoring sediment transport is essential for managing and maintaining rivers.Estimation of the sediment load in rivers is fundamental for the study of sediment movement,erosion,and flood control.In the current study,three machine learning models-multi-layer perceptron(MLP),multi-layer perceptron-stochastic gradient descent(MLP-SGD),and gradient boosted tree(GBT)-were utilized to estimate the suspended sediment load(SSL)at the St.Louis(SL)and Chester(CH)stations on the Mississippi River,U.S.Four evaluation criteria including the Correlation Coefficient(CC),Nash Sutcliffe Efficiency(NSE),Scatter Index(SI),and Willmott’s Index(WI)were utilized to evaluate the performance of the used models.A sensitivity analysis of the models to the input variables revealed that the current day discharge variable had the most effect on the SSL at both stations,but in the absence of current-day discharge data(Qt),a combination of input parameters including SSL_t-3,SSL_t-2,SSL_t-1,Q_t-3,Q_t-2,Q_t-1 can be used to estimate the SSL.The comparative outcomes indicated the high accuracy of MLP-SGD-5 model with a CC of 0.983,SI of 0.254,WI of 0.991,and NSE of 0.967 at station CH and the MLP-SGD-6 model with a CC of 0.933,SI of 0.576,WI of 0.961,and NSE of 0.867,respectively,at station SL.The results of MLP models were improved by SGD optimization.Therefore,the MLP-SGD method is recommended as the most accurate model for SSL estimation.  相似文献