Compound flooding refers to the complex interactions among oceanographic, inland (catchment) hydrological, and meteorological processes with anthropogenic factors such as land use changes due to urbanization. To-wit, the impact of higher tide levels, storm surge, and high intensity rainfall events over the inland catchment collectively may result in more extensive flooding than the individual processes acting separately. In the context of climate change and more frequent extreme weather events, coastal cities, particularly those in the ASEAN region, are increasingly vulnerable to compound flooding, yet there is no convenient and user-friendly modelling approach available that would enable the planning community and decision-makers to envision compound flooding as part of resiliency-oriented urban plan development. We addressed this gap by developing the3D Resiliency Visualisation Platform (3DRVP), within which linked features are established using Python scripts to seamless integrate a 2D mixed land use fluvial/pluvial catchment model (PCSWMM) with a 2D/3D coastal hydrodynamic model (Delft3D) to simulate the dynamics of compound floods for the assessment of coastal inundation. This platform aims to assist planners, urban design professionals, and engineers with a realistic visualization tool to picture the urban infrastructure planning alternatives as well as to facilitate the real-time operational decision-making and evacuation activation with flood control strategies. The integrated platform theory is developed first and the platform then is trialled for a developing coastal area in south Bangkok, Thailand. Similar to many cities of the global south, data availability to calibrate models is limited and as such we used a mixed methods approach to explore model accuracy. The Delft3D model was calibrated successfully using water level data from a nearby gauge in the Gulf of Thailand for Typhoon Linda. The catchment model (PCSWMM) was validated using observed flood areas as reported by the local municipality. A 100-year design rainstorm was subsequently modelled and linked with the Typhoon Linda surge levels with results indicating the combination of rainfall flooding and storm surge would increase the flooded area by 25.6% over the system components modelled individually.

复合洪水是指海洋学、内陆（流域）水文和气象过程与人为因素（如城市化导致的土地利用变化）之间的复杂相互作用。也就是说，更高的潮位、风暴潮和高强度降雨事件对内陆流域的影响共同可能导致比单独作用的单个过程更广泛的洪水。在气候变化和更频繁的极端天气事件的背景下，沿海城市，尤其是东盟地区的沿海城市，越来越容易受到复合洪水的影响，但目前还没有方便和用户友好的建模方法来支持规划界和决策- 制定者将复合洪水设想为以弹性为导向的城市规划发展的一部分。 沿海水动力模型 (Delft3D) 来模拟 用于评估沿海洪水的复合洪水。该平台旨在帮助规划师、城市设计专业人员和工程师使用逼真的可视化工具来描绘城市基础设施规划备选方案，并促进实时运营决策和疏散激活与防洪策略。首先开发综合平台理论，然后在泰国曼谷南部发展中的沿海地区试用该平台。与全球南方的许多城市类似，校准模型的数据可用性有限，因此我们使用混合方法来探索模型的准确性。Delft3D 模型使用来自泰国湾附近台风琳达的水位计的水位数据成功校准。流域模型 (PCSWMM) 使用当地市政当局报告的观察到的洪灾区进行了验证。随后对一场 100 年的设计暴雨进行了建模，并将其与台风琳达的浪涌水平联系起来，结果表明降雨洪水和风暴潮的结合将使洪水泛滥面积比单独建模的系统组件增加 25.6%。