A web-based trigger factor inverse analysis system for slope failure hazard mapping
-
- Taguchi Yasutomo
- 東京理科大学大学院 理工学研究科土木工学専攻
-
- Kojima Hirohito
- 東京理科大学 理工学部土木工学科
-
- Kawamura Kentarou
- 全日空システム企画 (株)
Bibliographic Information
- Other Title
-
- 斜面崩壊誘因広域逆推定システムの構築
- シャメン ホウカイ ユウイン コウイキ ギャクスイテイ システム ノ コウチク
Search this article
Abstract
Pointing out limitations of observing slope failure trigger factors (i. e., rainfall, earthquake, weathering, etc.), we have tackled the development of a web-based Trigger Factor Inverse analysis system for slope failure hazard mapping (TFI-web). Through the measurement equation defined between “unobserved trigger factor” and “observed causal factors (i. e., satellite remotely sensed data, geographical information) ” and the trigger factor can be estimated inversely by the TFI-web, which consists of the following systems: i) Pre-processing system, ii) Analysis system, iii) Post-processing system, and iv) Information providing and management system. The functions for making the causal factors (i. e., input data sets) belong to the pre-processing system. Based on the Structural Equation Modeling (SEM), the inverse analysis of trigger factor can be carried out with the analysis system. The post-processing system supports the editorial works for the trigger factor influence maps, as well as the statistical measurements in analysis. Furthermore, the information providing and management system assumes a role to provide and manage those data sets. The system designs on the TFI-web would become a significant guide for constructing the related system including models on spatial data integration and analysis under the internet-environment.
Journal
-
- JOURNAL OF APPLIED COMPUTING IN CIVIL ENGINEERING
-
JOURNAL OF APPLIED COMPUTING IN CIVIL ENGINEERING 17 (0), 183-194, 2008
Japan Society of Civil Engineers
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282680199267712
-
- NII Article ID
- 130006895263
- 130003839408
-
- ISSN
- 1884913X
- 21857857
- 13423894
- 13491040
- http://id.crossref.org/issn/13423894
-
- NDL BIB ID
- 9767101
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed