The use of flood damage functions, or vulnerability curves, as a relationship between the intensity of the process (hazard) and the degree of potential loss of the exposed elements plays an important role in flood risk assessment. In terms of disaster risk reduction, a vulnerability curve is a helpful tool to quickly evaluate loss and conduct immediate decision making. This study proposes flood vulnerability curves for rice crop using crop yield loss estimated by crop statistics and remote-sensing modeling as a loss indicator. Flood parameters (depth, velocity, and duration) were simulated using a hydrodynamic model. Thus, the degree of crop yield loss and flood characteristics could be compared to derive vulnerability curves. In this study, we used a case study of the 2007 flood in the Solo river basin of Indonesia. Our results show that the relationship between the intensity of flood parameters and the degree of rice crop yield loss fits logarithmic regression functions, where water depth is considered the most significant parameter in loss estimation. Moreover, the minimum values of water depth, flow velocity, and duration relationship, that induce loss are 0.2 m, 0.03 m/s, and 8 days, respectively, while the maximum values, that induce complete yield loss, are 5.2 m, 0.08 m/s, and 22 days. This study's framework can be potentially used to obtain flood vulnerability curve or flood damage function, particularly for data-scarce regions.

在过程（危害）的强度与暴露元素的潜在损失程度之间的关系中，使用洪水破坏函数或脆弱性曲线在洪水风险评估中起着重要作用。在减少灾难风险方面，脆弱性曲线是快速评估损失并立即做出决策的有用工具。这项研究提出了水稻作物的洪水易损性曲线，其利用通过作物统计和遥感建模估算的作物单产损失作为损失指标。使用流体动力学模型模拟洪水参数（深度，速度和持续时间）。因此，可以比较作物产量损失的程度和洪水特征，以得出脆弱性曲线。在这项研究中，我们使用了2007年印度尼西亚梭罗河流域洪水的案例研究。我们的结果表明，洪水参数强度与水稻作物产量损失程度之间的关系符合对数回归函数，其中水深被认为是损失估计中最重要的参数。此外，引起损失的水深，流速和持续时间关系的最小值分别为0.2 m，0.03 m / s和8天，而引起完全屈服损失的最大值为5.2 m，0.08 m / s和22天。该研究的框架可以潜在地用于获取洪水脆弱性曲线或洪水破坏函数，特别是对于数据稀少的地区。引起损失的水深，流速和持续时间关系的最小值分别为0.2 m，0.03 m / s和8天，而引起完全屈服损失的最大值为5.2 m，0.08 m /秒和22天。该研究的框架可以潜在地用于获取洪水脆弱性曲线或洪水破坏函数，特别是对于数据稀少的地区。引起损失的水深，流速和持续时间关系的最小值分别为0.2 m，0.03 m / s和8天，而引起完全屈服损失的最大值为5.2 m，0.08 m /秒和22天。该研究的框架可以潜在地用于获取洪水脆弱性曲线或洪水破坏函数，特别是对于数据稀少的地区。