The endurance of summer maize to flood and the impacts of the flood on maize yields and its
components were studied in this paper. Obtain maize model for quantitative assessment of flood
disasters. Based on the GIS and EOS/MODIS water monitoring data, access to the flood disaster loss
model can be rapid quantitative assessment. The results showed that flood had obvious impacts on the
maize density, maize greenery, ear lengthen and thick, and the yields. The method can be used for fast,
accurate, continuous, dynamic monitoring and evaluation of flood hazards, for the development of
post-disaster planning.
KEYWORDS: Floods, Geographic information systems, Meteorology, Hazard analysis, Agriculture, Data modeling, Chromium, Data conversion, Remote sensing, Analytical research
In this paper, according to the flood risk-influencing hazard of disaster-formatire factors, the stability of
hazard-pregnant environment and the vulnerability of hazard bearing body, the indexes of precipitation, runoff, river,
terrain, population and economy are considered. Taking, Henan Province as the focus area, and county as the
administrative unit, both the hazard assessment map and the vulnerability assessment map of the flood disaster are
acquired based on GIS and AHP integrated method. Finally, the comprehensive hazard evaluating map of the flood
disaster was drawn. The case study shows that the GIS-based category model is effective in flood risk zonation. Therefore the paper has a certain theoretical and practical significance.
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