空间不完备信息条件下的区域自然灾害风险评估实例部分

区域自然灾害风险评估中所用的数据不仅具有时间的意义，而且具有空间的意义。当数据的空间信息不完备时，需要对其进行优化处理，以减水风险评估的误差。作者在本刊上一期的一篇文章中已进行了这方面的理论探讨，将区域自然灾害风险评估中所遇珐的空间不完备信息分为两类，分别用插补模型和校正模型进行了处理。插补模型是针对空间数据缺失情况的，而校正模型是针对空间数据不符合精度需要情况的。本文以湖南省农村种植业水灾为例，

The risk assessment of regional natural disaster under the condition of spatial incomplete information

The data used in the risk assessment of regional natural disasters imply the information not only on time but also on space. When the spatial information of the data is incomplete, it is necessary to optimize the data in order to reduce the error of the assessment. In the counterpart of the paper in last issue of the Journal the theoretical investigation of the problem was carried out and the imcomplete information occured in risk assessment of regional natural disasters were classified into two types. with treatment of interpolation model and correcting model respectively. The former model is for insufficiency of the data and the later is for the case in which the accuracy of the data is not enough. In this paper, taking the flood sustained by rural area plant in Hunan Province as an example, it is explained how to use the models to calculate. The models are examined as well.