Projected climate change impacts on the hydrological regime and corresponding flood risks were examined for the years 2030 (near-term) and 2050 (long-term), under representative concentration pathways (RCP) 4.5 (moderate) and 8.5 (high) emission scenarios. The United States Army Corps of Engineers' (USACE) Hydrologic Engineering Center's Hydrologic Modeling System was used to simulate the complete hydrologic processes of the various dendritic watershed systems and USACEs' Hydrologic Engineering Center's River Analysis System hydraulic model was used for the two-dimensional unsteady flow flood calculations. Climate projections are based on recent global climate model simulations developed for the International Panel on Climate Change, Coupled Model Inter-comparison Project Phase 5. Hydrographs for frequent (high-recurrence interval) storms were derived from 30-year historical daily precipitation data and decadal projections for both time frames and RCP scenarios. Since the climate projections for each scenario only represented ten years of data, 100-year or 500-year storms cannot be derived. Hence, this novel approach of identifying frequent storms is used as an indicator to compare across the various time frames and climate scenarios. Hydrographs were used to generate inundation maps and results are used to identify vulnerabilities and formulate adaptation strategies to flooding at 43 locations worldwide.

在有代表性的集中路径（RCP）4.5（中度）和8.5（高）排放情景下，研究了2030年（近期）和2050年（长期）气候变化对水文状况的影响以及相应的洪水风险。美国陆军工程兵团（USACE）水文工程中心的水文建模系统用于模拟各种树突流域系统的完整水文过程，而USACEs水文工程中心的河流分析系统水力模型用于二维非定常状态流量洪水计算。气候预测基于为国际气候变化专门委员会开发的最新全球气候模型模拟，耦合模型间比较项目第5阶段。频繁（高重复间隔）风暴的水文图来自30年历史每日降水量数据以及时间范围和RCP情景的年代际预测。由于每种情景的气候预测仅代表十年的数据，因此无法得出100年或500年的风暴。因此，这种识别频繁暴风雨的新颖方法被用作比较各种时间范围和气候情景的指标。水文图用于生成淹没图，结果用于识别脆弱性并制定针对全球43个地点的洪水的适应策略。无法得出100年或500年的风暴。因此，这种识别频繁暴风雨的新颖方法被用作指标来比较各种时间范围和气候情景。水文图被用于生成淹没图，结果被用于识别脆弱性并制定针对全球43个地点的洪水的适应策略。无法得出100年或500年的风暴。因此，这种识别频繁暴风雨的新颖方法被用作指标来比较各种时间范围和气候情景。水文图用于生成淹没图，结果用于识别脆弱性并制定针对全球43个地点的洪水的适应策略。