Concerns about children's development: Implications for single, employed black mothers' well-being
In: Social work research, Volume 22, Issue 4, p. 233-240
ISSN: 1545-6838
6 results
Sort by:
In: Social work research, Volume 22, Issue 4, p. 233-240
ISSN: 1545-6838
In: The Chinese journal of international politics, Volume 8, Issue 1, p. 1-26
ISSN: 1750-8924
In: Behavioral science, Volume 21, Issue 4, p. 263-273
In: Natural hazards and earth system sciences: NHESS, Volume 8, Issue 4, p. 941-960
ISSN: 1684-9981
Abstract. For the interpretation of the storm event-induced landslide distribution for an area, deterministic methods are frequently used, while a region's landslide susceptibility is commonly predicted via a statistical approach based upon multi-temporal landslide inventories and environmental factors. In this study we try to use an event-based landslide inventory, a set of environmental variables and a triggering factor to build a susceptibility model for a region which is solved using a multivariate statistical method. Data for shallow landslides triggered by the 2002 typhoon, Toraji, in central western Taiwan, are selected for training the susceptibility model. The maximum rainfall intensity of the storm event is found to be an effective triggering factor affecting the landslide distribution and this is used in the model. The model is built for the Kuohsing region and validated using data from the neighboring Tungshih area and a subsequent storm event – the 2004 typhoon, Mindulle, which affected both the Kuohsing and the Tungshih areas. The results show that we can accurately interpret the landslide distribution in the study area and predict the occurrence of landslides in the neighboring region in a subsequent typhoon event. The advantage of this statistical method is that neither hydrological data, strength data, failure depth, nor a long-period landslide inventory is needed as input.
In: Gerontechnology: international journal on the fundamental aspects of technology to serve the ageing society, Volume 13, Issue 2
ISSN: 1569-111X