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Monitoring trends in the extent of major floods in the lower reach of Songkhram River Basin, Northeastern Thailand

机译：泰国东北部宋卡兰河流域下游主要洪水范围的监测趋势

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This study analyzes trends in the extent of major floods in the lower reach of Songkhram River Basin, one of the most important areas for aquatic biological production in the Lower Mekong River Basin. We first classified the time series Landsat imagery acquired at a 2-year interval between 2000 and 2006 using the unsupervised classification method. We then analyzed the extent of major floods through the image matrix analysis on seasonal land cover map pairs. Additionally, we estimated flood volumes and discharge rates for each time series. We finally analyzed the extent of land uses that were affected by major flood events. Accuracy assessment showed that the extent of major floods was accurately mapped. Analysis of trends of major floods revealed that there was a considerable variation in the extent through 2006, with the flood decreasing since 2002. Analysis of flood risk areas based on the 2000–2004 data showed that about 3.04% of the study areas was at high risk of being flooded. Between 2000 and 2006, about 5.5% of the study area that are classified as agriculture and built-up land uses was affected by major floods. Our estimates on flood volumes and discharge rates are consistent with the data from other studies. Overall findings suggest that accurate mapping of major floods and flood risk areas using space and time dependent data can be important for developing protocols for flash flood early warning and flood risk management and mitigation. Output GIS maps and data combined with crude assumptions about water flow will serve as the baseline data to estimate the amount of water that flows in and out of the basin. Further research should focus on integration of social science research to evaluate the socio-economic impacts of major floods and identifying coping strategies of affected communities.
机译：这项研究分析了湄公河下游流域最重要的水生生物生产区之一-宋卡兰河流域下游的主要洪灾程度趋势。我们首先使用无监督分类方法对2000年至2006年之间每隔2年获取的时间序列Landsat影像进行分类。然后，我们通过对季节性土地覆盖图对进行图像矩阵分析来分析主要洪水的程度。此外，我们估算了每个时间序列的洪水量和流量。最后，我们分析了受重大洪水事件影响的土地利用程度。准确性评估表明，主要洪水的范围已准确绘制。对重大洪水趋势的分析表明，到2006年，洪水的范围有很大的变化，自2002年以来洪水有所减少。根据2000-2004年的数据进行的洪水风险区域分析表明，约有3.04％的研究区域处于高发地区。有被洪水淹没的危险。在2000年至2006年之间，大约5.5％的研究区域被归类为农业和已建成土地用途，受到了大洪水的影响。我们对洪水量和流量的估计与其他研究的数据一致。总体研究结果表明，使用时空相关数据准确绘制主要洪水和洪水风险区域对于制定山洪预警，洪水风险管理和缓解协议非常重要。输出的GIS地图和数据以及有关水流量的粗略假设将用作基线数据，以估算流入和流出流域的水量。进一步的研究应集中于社会科学研究的整合，以评估重大洪水的社会经济影响并确定受影响社区的应对策略。

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