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Geophysics ◽  
2022 ◽  
pp. 1-59
Author(s):  
Fucai Dai ◽  
Feng Zhang ◽  
Xiangyang Li

SS-waves (SV-SV waves and SH-SH waves) are capable of inverting S-wave velocity ( VS) and density ( ρ) because they are sensitive to both parameters. SH-SH waves can be separated from multicomponent data sets more effectively than the SV-SV wave because the former is decoupled from the PP-wave in isotropic media. In addition, the SH-SH wave can be better modeled than the SV-SV wave in the case of strong velocity/impedance contrast because the SV-SV wave has multicritical angles, some of which can be quite small when velocity/ impedance contrast is strong. We derived an approximate equation of the SH-SH wave reflection coefficient as a function of VS and ρ in natural logarithm variables. The approximation has high accuracy, and it enables the inversion of VS and ρ in a direct manner. Both coefficients corresponding to VS and ρ are “model-parameter independent” and thus there is no need for prior estimate of any model parameter in inversion. Then, we developed an SH-SH wave inversion method, and demonstrated it by using synthetic data sets and a real SH-SH wave prestack data set from the west of China. We found that VS and ρ can be reliably estimated from the SH-SH wave of small angles.


2022 ◽  
Author(s):  
Saumik Dana

The critical slip distance in rate and state model for fault friction in the study of potential earthquakes can vary wildly from micrometers to few meters depending on the length scale of the critically stressed fault. This makes it incredibly important to construct an inversion framework that provides good estimates of the critical slip distance purely based on the observed acceleration at the seismogram. The framework is based on Bayesian inference and Markov chain Monte Carlo. The synthetic data is generated by adding noise to the acceleration output of spring-slider-damper idealization of the rate and state model as the forward model.


2022 ◽  
Author(s):  
Alexandros Tsolovikos ◽  
Saikishan Suryanarayanan ◽  
Efstathios Bakolas ◽  
David B. Goldstein

MAUSAM ◽  
2021 ◽  
Vol 43 (4) ◽  
pp. 361-364
Author(s):  
R.N. ADHIKARI ◽  
S. CHTTTARANJAN

The curvilinear recessions relating to storage losses with runoff water collected at storage structure, G R Halli watershed, Chitradurga district, Karnataka fitted best with the observations. The method of estimation of the model parameter is presented in the paper. Relating storage to storage on preceding day gives more information about water balance of this catchment. It is observed from the data that more emphasis is to be given for in situ conservation measures.


2021 ◽  
Vol 33 (6) ◽  
pp. 238-245
Author(s):  
Seongsik Park ◽  
Kyunghoi Kim

In this study, we carried out case study to predict dissolved oxygen (DO) concentration of Nakdong river estuary with LSTM model. we aimed to figure out a optimal model condition and appropriate predictor for prediction in dissolved oxygen concentration with model parameter and predictor as cases. Model parameter case study results showed that Epoch = 300 and Sequence length = 1 showed higher accuracy than other conditions. In predictor case study, it was highest accuracy where DO and Temperature were used as a predictor, it was caused by high correlation between DO concentration and Temperature. From above results, we figured out an appropriate model condition and predictor for prediction in DO concentration of Nakdong river estuary.


Author(s):  
Ahmed A. Zaki Diab ◽  
Hussien I. Abdul‐Ghaffar ◽  
Abdelsalam A. Ahmed ◽  
Husam A. Ramadan

2021 ◽  
Author(s):  
Roja Garna ◽  
Daniel Fuka ◽  
Robin White ◽  
Joshua Faulkner ◽  
Elyce Buell ◽  
...  

2021 ◽  
Author(s):  
Roja Garna ◽  
Daniel Fuka ◽  
Robin White ◽  
Joshua Faulkner ◽  
Elyce Buell ◽  
...  

2021 ◽  
Author(s):  
Roja Garna ◽  
Daniel Fuka ◽  
Robin White ◽  
Joshua Faulkner ◽  
Elyce Buell ◽  
...  

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