A SLOPE FAILURE TYPE CLASSIFICATION ALGORITHM FOR MULTIPLE SIMULTANEOUS SLOPE FAILURE HAZARD ASSESSMENT

Author(s):  
Ikko UCHIDA ◽  
Hirohito KOJIMA
Author(s):  
Jun Awaka ◽  
Toshio Iguchi ◽  
Ken'ichi Okamoto

2016 ◽  
Vol 33 (9) ◽  
pp. 1887-1898 ◽  
Author(s):  
Jun Awaka ◽  
Minda Le ◽  
V. Chandrasekar ◽  
Naofumi Yoshida ◽  
Tomohiko Higashiuwatoko ◽  
...  

AbstractThe Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) algorithms consist of modules. This paper describes version 4 (V4) of GPM DPR level 2 (L2) classification (CSF) modules, which consist of two single-frequency (SF) modules—that is, Ku-only and Ka-only modules—and a dual-frequency (DF) module. Each CSF module detects bright band (BB) and classifies rain into three major types, that is, stratiform, convective, and other. The Ku-only and Ka-only CSF modules use algorithms that are similar to the Tropical Rainfall Measuring Mission (TRMM) rain type classification algorithm 2A23. The DF CSF module uses a new method called the measured dual-frequency ratio (DFRm) method for the rain type classification and the detection of BB. It is shown that the Ku-only CSF module and the DF CSF module produce almost indistinguishable rain type counts in a statistical sense. It is also shown that the DFRm method in the DF CSF module improves the detection of BB.


SOLA ◽  
2019 ◽  
Vol 15 (0) ◽  
pp. 94-98 ◽  
Author(s):  
Kenji Suzuki ◽  
Rimpei Kamamoto ◽  
Katsuhiro Nakagawa ◽  
Michinobu Nonaka ◽  
Taro Shinoda ◽  
...  

2013 ◽  
Vol 50 (6) ◽  
pp. 620-631 ◽  
Author(s):  
Gordon A. Fenton ◽  
Amanda McLean ◽  
Farrokh Nadim ◽  
D.V. Griffiths

Human beings are, in general, risk-averse and willing to go to great lengths to reduce failure consequences. However, if the underlying issues are not understood, effective action cannot properly be taken. A landslide hazard assessment framework capable of estimating regional probabilities of slope failure can be used to aid a vast number of communities currently living in landslide “danger zones”. Such a framework would provide a tool with which community resources can be optimized and ensure that appropriate preparedness and mitigation strategies are in place. Maximum slope angles, as estimated using digital elevation models (DEMs), are one of the most important indicators for landslide hazard assessment. This paper uses local averaging theory to determine how the resolution of DEMs affects regional landslide probability estimates. Emphasis is on a regional landslide hazard assessment, measured by the probability that one or more slopes of at least a critical minimum scale will fail within the region.


Author(s):  
Jae-Won Jeong ◽  
Jeong-Ho Kim ◽  
Jin-Woo Heo ◽  
Dong-In Han ◽  
Dae-Woo Lee ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document