Srikrishnan Siva Subramanian

Dr. Srikrishnan Siva Subramanian


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 April 2020 in Earth-Science Reviews
Verified
Journal Article
Closed access
XFXuanmei Fan
Xuanmei Fan
ADAnja Dufresne
Anja Dufresne
SSSrikrishnan Siva Subramanian
Srikrishnan Siva Subramanian
ASAlexander Strom
Alexander Strom
RHReginald Hermanns
Reginald Hermanns
QXQiang Xu
Qiang Xu

5 March 2019 in Landslides
Verified
Journal Article
Closed access
PDF file
XFXuanmei Fan
Xuanmei Fan
QXQiang Xu
Qiang Xu
ARAndres Alonso Rodriguez
Andres Alonso Rodriguez
SSSrikrishnan Siva Subramanian
Srikrishnan Siva Subramanian
WLWeile Li
Weile Li
RHRunqiu Huang
Runqiu Huang

19 November 2019 in Landslides
Verified
Journal Article
Closed access
PDF file
XFXuanmei Fan
Xuanmei Fan
FYFan Yang
Fan Yang
SSSrikrishnan Siva Subramanian
Srikrishnan Siva Subramanian
QXQiang Xu
Qiang Xu
ZFZetao Feng
Zetao Feng
RHRunqiu Huang
Runqiu Huang

22 May 2019 in Landslides
Verified
Journal Article
Closed access
PDF file
FWFengrui Wang
Fengrui Wang
XFXuanmei Fan
Xuanmei Fan
YunusAli PulpadanYunusAli Pulpadan
YunusAli Pulpadan
SSSrikrishnan Siva Subramanian
Srikrishnan Siva Subramanian
ARAndres Alonso Rodriguez
Andres Alonso Rodriguez
RHRunqiu Huang
Runqiu Huang

13 January 2021 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
XFXuanmei Fan
Xuanmei Fan
YunusAli PulpadanYunusAli Pulpadan
YunusAli Pulpadan
Gianvito ScaringiGianvito Scaringi
Gianvito Scaringi
Filippo CataniFilippo Catani
Filippo Catani
SSSrikrishnan Siva Subramanian
Srikrishnan Siva Subramanian
RHRunqui Huang
Runqui Huang
Strong earthquakes, especially on mountain slopes, can generate large amounts of unconsolidated deposits, prone to remobilization by aftershocks and rainstorms. Assessing the hazard they pose and what drives their movement in the years following the mainshock has not yet been attempted, primarily because multitemporal landslide inventories are lacking. By exploiting a multitemporal inventory (2005–2018) covering the epicentral region of the 2008 Wenchuan Earthquake and a set of conditioning factors (seismic, topographic, and hydrological), we perform statistical tests to understand the temporal evolution of these factors affecting debris remobilizations. Our analyses, supported by a random‐forest susceptibility assessment model, reveal a prediction capability of seismic‐related variables declining with time, as opposed to hydro‐topographic parameters gaining importance and becoming predominant within a decade. These results may have important implications on the way conventional susceptibility/hazard assessment models should be employed in areas where coseismic landslides are the main sediment production mechanism on slopes.

1 April 2017 in Engineering Geology
Verified
Journal Article
Closed access
SSSrikrishnan Siva Subramanian
Srikrishnan Siva Subramanian
TITatsuya Ishikawa
Tatsuya Ishikawa
TTTetsuya Tokoro
Tetsuya Tokoro