The UN Office for Disaster Risk Reduction listed 10 reasons businesses should reduce their disaster exposure, including risk factoring, which cannot be achieved without historical data about hazards, their locations, magnitudes, and frequencies. Substantial hazard data are reported by newspapers, which could add value to disaster management decision making. In this study, a text-mining program extracted keywords related to floods’ geographic location, date, and damages from newspaper analyses of flash floods in Fujairah, UAE, from 2000–2018. The paper describes extracting such information as well as geocoding and validating flood-prone areas generated through geographic information system (GIS) modeling. The generation of flood-prone areas was based on elevation, slope, land use, soil, and geology coupled with topographic wetness index, topographic position index, and curve number. Analytical Hierarchy Process (AHP) produced relative weight for each factor, and GIS map algebra generated flood-prone areas. AHP inclusion helped minimize weight subjectivity among various experts. Of all areas, 85% are considered medium and low flood-prone zones, mainly mountainous areas. However, the 15% that are high/very high are dominated by urban areas in low coastal plains, predisposing them to flash floods. Eighty-four percent of flood events reported by newspapers were in areas rated as high/very high flood-prone zones. In the absence of flood records, newspapers reports can be used as a reference. Policymakers should assess whether flood-prone area models offer accurate analyses. These findings are useful for organizations related to disaster management, urban planning, insurance, archiving, and documentation.

联合国减少灾害风险办公室列出了企业减少灾害风险的十个原因，包括风险因素，而如果没有有关危害，其位置，大小和频率的历史数据，这是无法实现的。报纸报道了重大灾害数据，这可以为灾害管理决策增加价值。在这项研究中，一个文本挖掘程序从2000-2018年间在阿联酋富查伊拉的山洪暴发的报纸分析中提取了与洪水的地理位置，日期和破坏有关的关键词。本文描述了提取此类信息以及对通过地理信息系统（GIS）建模生成的易发洪水地区进行地理编码和验证。易发洪水地区的产生是基于海拔，坡度，土地利用，土壤和地质条件以及地形湿度指数，地形位置索引和曲线编号。层次分析法（AHP）产生了每个因素的相对权重，而GIS地图代数产生了易发洪水区域。包含AHP有助于最大程度地减少各种专家的体重主观性。在所有地区中，有85％被认为是中低洪水区，主要是山区。但是，高/非常高的15％由沿海低平原地区的城市地区主导，因此容易遭受山洪暴发。报纸报道的洪灾事件中有84％位于被定为高洪灾地区/高洪灾地区。在没有洪水记录的情况下，报纸的报道可以作为参考。政策制定者应评估易发洪水区域模型是否提供准确的分析。这些发现对于与灾难管理，城市规划，保险，归档，