Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Shijian Zhou"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Due to various unavoidable reasons or gross error elimination, missing data inevitably exist in global navigation satellite system (GNSS) position time series, which may result in many analysis methods not being applicable. Typically, interp
Externí odkaz:
https://doaj.org/article/1b9428442ceb44fc9d3448235a342895
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Accurate prediction of sea level height is critically important for the government in assessing sea level risk in coastal areas. However, due to the nonlinear, time-varying and highly uncertain characteristics of sea level change data, sea l
Externí odkaz:
https://doaj.org/article/4c006f8e9c154c388157f4959fc08990
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1397 (2024)
Considering the nonlinear and non-stationary characteristics of sea-level-change time series, this study focuses on enhancing the predictive accuracy of sea level change. The adjacent seas of China are selected as the research area, and the study int
Externí odkaz:
https://doaj.org/article/7bac52e27de04dee98a64579c1509a4a
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2408 (2024)
The monitoring of Poyang Lake water area and storage changes using remote sensing and satellite gravimetry techniques is valuable for maintaining regional water resource security and addressing the challenges of global climate change. In this study,
Externí odkaz:
https://doaj.org/article/5e13468cf778451c84121df5c69c6b7a
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 12, p 2360 (2023)
This study utilizes 27 years of sea level anomaly (SLA) data obtained from satellite altimetry to investigate spatial–temporal variations in the South China Sea (SCS). The local mean decomposition (LMD) method is applied to decompose the sea level
Externí odkaz:
https://doaj.org/article/fd85f157346c4db4b3156750cd0fab9a
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Due to the strong noise that exists in GRACE (Gravity Recovery and Climate Experiment) temporal gravity field solutions, geophysical signals are normally drowned which need many effective filtering approaches. Considering the advantage of the ensembl
Externí odkaz:
https://doaj.org/article/20b32759244e49d28f402a9d52925098
Publikováno v:
Social Sciences, Vol 12, Iss 6, p 340 (2023)
This paper analyses the spatial trends and patterns of the crime rates in London and explores how socio-economic characteristics affect crime rates with consideration of the geographic context across London. The 2015 London Crime Statistics and Socio
Externí odkaz:
https://doaj.org/article/0ebfe6a8cc354271a4207196dac58f22
Autor:
Xiaoxing He, Kegen Yu, Jean-Philippe Montillet, Changliang Xiong, Tieding Lu, Shijian Zhou, Xiaping Ma, Hongchao Cui, Feng Ming
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3532 (2020)
The global navigation satellite system (GNSS) has seen tremendous advances in measurement precision and accuracy, and it allows researchers to perform geodynamics and geophysics studies through the analysis of GNSS time series. Moreover, GNSS time se
Externí odkaz:
https://doaj.org/article/dafe7be584104c8f803f43149466b0b6
Autor:
Shijian Zhou, Fu Yang, Bangbang Wang, Hang Su, Kangchao Lu, Yun Ding, Kai Lei, Man Xu, Bo Shao, Yun Wang, Yan Kong
Publikováno v:
Catalysts, Vol 8, Iss 2, p 80 (2018)
Ordered mesoporous silicas (OMSs) attract considerable attention due to their advanced structural properties. However, for the pristine silica materials, the inert property greatly inhibits their catalytic applications. Thus, to contribute to the ver
Externí odkaz:
https://doaj.org/article/13e49bfc740945c5bc609c612e07f737
Autor:
Shijian Zhou, Hao Hu, Huikang Hu, Qichao Jiang, Haoran Xie, Changlai Li, Shuying Gao, Yan Kong, Yingjie Hu
Publikováno v:
Science China Materials. 66:1837-1846