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Abstract：
This aricle discusses the reliability of flood inundation information that is obtained from participatory mapping. The commonly applied method to map flood inundation requires both direct and interpretive measurement data based on remote sensing images. Such assessments have limited availability of data; as a result, participatory mapping has become the solution. A number of studies have conducted participatory mapping to obtain flood hazard information in areas with limited sources of data, however, there has been little discussion about its reliability. This research conducted participatory flood inundation mapping by involving local leaders as respondents. The mental map drawn by the local leaders was digitised to obtain a shapefile format map. The information obtained from the semistructured interview was then included in the geographic information system (GIS) data as attributes. The obtained information was compared with the field data to determine its quality. A literature study was then conducted to discuss how the participatory mapping could support managing a disaster. Information obtained through participatory mapping can be effectively applied to disaster management because of its precise location information, lower cost and less time-consuming nature. The reliability of the information has weak accuracy of quantitative data; however, it has advantages in terms of qualitative data, especially in the detailed descriptions of flood information. In the future, participatory mapping should rely on integrating the perspectives of cross-disciplinary researchers, a comprehensive study of multidisciplinary knowledge and level of understanding of the stakeholders.
摘要：
本文讨论了从参与式制图中获得的洪水淹没信息的可靠性。绘制洪水淹没图的常用方法需要基于遥感图像的直接和解释性测量数据。这种评估的数据可用性有限；因此，参与式制图已成为解决方案。一些研究进行了参与式绘图,以获取数据来源有限的地区的洪水灾害信息,然而,关于其可靠性的讨论很少。这项研究通过让当地领导人作为受访者进行参与式洪水淹没测绘。将当地领导人绘制的心理地图数字化，以获得shapefile格式的地图。然后，从半结构化访谈中获得的信息作为属性包含在地理信息系统（GIS）数据中。将获得的信息与现场数据进行比较以确定其质量。然后进行了文献研究，以讨论参与式绘图如何支持灾难管理。通过参与式制图获得的信息，由于其精确的位置信息，可以有效地应用于灾害管理，更低的成本和更少的耗时性质。信息的可靠性具有定量数据的弱准确性；但是，它在定性数据方面具有优势，特别是在洪水信息的详细描述中。在未来,参与式制图应该依靠整合跨学科研究人员的观点，全面研究多学科知识和利益相关者的理解水平。
