Flood damage assessment on rice crop in the Stung Sen River Basin of Cambodia
Flood damage assessment on rice crop in the Stung Sen River Basin of Cambodia
复制标题
柬埔寨Stung Sen河流域水稻作物洪灾损失评估
DOI：
10.1007/s10333-019-00718-1
复制
发表时间：
2019
影响因子：
2.2
通讯作者：
C. Oeurng
中科院分区：
文献类型：
--
作者：
Sarit Chung;Junichiro Takeuchi;M. Fujihara;C. Oeurng
在柬埔寨，稻米生产作为主要收入来源，对大多数农村人口很重要。然而，历史上的极端洪水事件，特别是2011年的洪水，由于洪水防备和减灾不足，对水稻生产造成了重大损害。为了减少损失风险，洪水损失评估对于提供有关潜在风险的基本信息以支持洪水风险管理的决策过程和政策制定至关重要。在这项研究中，一个基于物理的洪水径流淹没（RRI）模型被用来模拟洪水淹没在Stung Sen河流域的柬埔寨，然后根据模拟的淹没深度和持续时间，从RRI模型的结果估计水稻作物的损害。分别对2011年和2009年洪水事件的模拟河流流量进行了校准和验证。事实上，模拟的洪水淹没区与卫星图像绘制的洪水图进行了比较，以检查其准确性。因此，确认这些结果合理且充分。在2011年的洪水中，绘制了水稻作物损失分布图，以表示可能受到不同程度损失影响的水稻地区。此外，估计的受影响水稻总面积与报告的损失数据接近，重叠率为89%。总体而言，这项研究的初步结果预计将有助于各级关键利益攸关方，特别是决策者，规划更好的减少风险战略，例如，在选择适当的防洪方案以科普未来的极端洪水事件时。
In Cambodia, rice production is important for the majority of rural populations as the main source of income. However, historical extreme flood events, especially the 2011 flood, caused significant damage to rice production due to insufficient flood preparedness and mitigation. To reduce the risk of damage, flood damage assessment is critical for providing essential information about potential risks to support the decision-making process and policy development in flood risk management. In this study, a physically based rainfall–runoff–inundation (RRI) model was used to simulate flood inundation in the Stung Sen River Basin of Cambodia, and then damage to rice crops was estimated based on the simulated inundation depth and duration that resulted from the RRI model. The simulated river discharges were calibrated and validated for 2011 and 2009 flood events, respectively. Indeed, the simulated flood inundation areas were compared with flood maps derived from satellite imagery to check their accuracy. As a result, it was confirmed that these results were reasonable and adequate. In the case of the 2011 flood, a distribution map of rice crop damage was created to represent the potentially affected rice areas at various levels of damage. Furthermore, the total of estimated affected rice areas was found to be close to the reported damage data, with an overlap of 89%. Overall, the preliminary results from this study are expected to be useful for key stakeholders at all levels, especially decision-makers, in planning better risk reduction strategies, for instance, when choosing the appropriate flood control option to cope with future extreme flood events.