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Suthep Chutiratanaphun, Rungsaridh Boonsin, Parida Kuneepong, & Julalux Suttirod. (2005). Land use / land cover change by tsunami 2004 in Thailand: A case study at phi phi Island, Krabi Province and Ban Num Kem Village, Pang Nga Province. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 301–303). Brussels: Royal Flemish Academy of Belgium.
Abstract: Aerial photo interpretation were utilized for monitoring land cover changes with emphasis on tsunami ravaged coastal regions in Phi Phi Island, Krabi Province and Ban Num Kem, Bang Muang, Pang Nga Province areas in the southern peninsula Thailand. All of the images acquired after the Dec 26/2004 tsunami hit, were analyzed and results were compared to image taken before to address the tsunami-affected communities' details. Results of interpretation show different land cover changes in different areas due to the former land cover/land use. It was also showed that aerial photo interpretation data are capable of identification on devastated areas with a high level of accuracy at scale of 1:25, 000. Special attention is given to a few examples of Ban Num Kem village in Takuepa District, Pang Nga Province and Phi Phi Island, Krabi Province.
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Sérgio Freire, & Christoph Aubrecht. (2011). Assessing spatio-temporal population exposure to tsunami hazard in the Lisbon Metropolitan Area. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The coastal region of Lisbon, Portugal, is potentially subject to tsunami hazard. Mapping and assessing tsunami risk requires giving adequate consideration to the population exposure. In the present work we model and map the spatio-temporal distribution of population in the daily cycle and analyze it with a tsunami hazard map to better assess tsunami risk in the Lisbon Metropolitan Area. New high-resolution daytime and nighttime population distribution surfaces are developed using 'intelligent dasymetric mapping' to combine best-available census data and statistics with land use and land cover data. Mobility statistics are considered for mapping daytime distribution. Finally, the population distribution maps are combined with the Tsunami Inundation Susceptibility map to assess potential human exposure to tsunami in daytime and nighttime periods. Results show that a significant amount of population is potentially at risk, and its numbers increase from nighttime to daytime, especially in the zones of high susceptibility.
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Murray Turoff. (2015). The Paradox of Emergency Management. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The role of Emergency Management is to respond effectively to a major emergency that cannot be handled by the day to day independent services such as fire fighters, police, and medical response facilities. However, normal evolutionary processes typically make the ability to respond to disasters more difficult. This leads to long term decision and policy conflicts and incompatibilities about desirable goals, with implications for practitioners and system designers.
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Simon Mulwa Mutie, Banci Mati, Hussein Gadain, & Patrick Home. (2005). Land cover change effects on flow regime of mara river. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 237–246). Brussels: Royal Flemish Academy of Belgium.
Abstract: The transboundary Mara River across Kenya and Tanzania and draining in to Lake Victoria has undergone major anthropogenic changes affecting its land cover over the past 50 years. However, these changes have not been quantified in a manner to allow wider scale understanding of the causative factors, their effects and show hot spots that required immediate intervention. To address these issues, a study of the land use/land cover change was done based on interpretation of digital LANDSAT TM and ETM images of 1986 and 2000 respectively with Idrisi Kilimanjaro software. In a separate addition, analyses of hydrological factors was done which involved comparing monthly mean flow hydrographs to assess changes in flow characteristics of the Mara river immediately after the basin forests. The results obtained showed 2.3 % deforestation, 0.7% reforestation, 20.9% of the basin was opened up for agriculture and 7.5% changed to wetlands. Hydrological investigations showed that river flow regimes have changed, with sharp increases in peaks, attenuation of the river hydrographs and reduction in base flows, factors that could not be linked to changes in rainfall amounts and characteristics but related to modifications of the land surface induced by artificial influences of the man in the basin.
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Yao Simin, & Zhong Shaobo. (2015). Exposure Assessment of Rainstorm Disaster Based on Land Use and Precipitation Extreme: A Case Study of Beijing, China. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The risk of rainstorm disaster is expected to increase with rising disaster losses as a consequence. Besides the uncertainty of frequency and severity of rainfalls, it can also be attributed to the expansion of settlement and industrial areas and the resulting accumulation of population and assets. Therefore, it?s important to both analyze historical precipitation and estimate land use condition. In this study, the data of land use status and historical heavy rainfalls of 16 districts in Beijing are collected to obtain the exposure level zoning map and carry out a comprehensive analysis. This is followed by Spearman?s rank correlation analysis and the correlations between the exposure and disaster losses have been discussed. This study presents a new perspective of exposure assessment, and some useful ideas about city planning and management are proposed in view of the inevitable trend of rapid urbanization in China.
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