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Combining rainfall-runoff and hydrodynamic models for simulating flow under the impact of climate change to the lower Sai Gon-Dong Nai River basin

机译:将降雨 - 径流和流体动力学模型结合在气候变化影响下的模拟流动对赛尔·董乃河流域的影响下

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摘要

This study presented simulation results of runoff discharge combining the Mike NAM and Mike SHE models for lower Sai Gon-Dong Nai River basin (SG-DNRB). Sai Gon-Dong Nai River basin is Vietnam's largest population center and main industrial area in Ho Chi Minh City. In recent years, the area faces flooding problems because of heavy rainfalls and high tides, as part of the impacts of climate change and sea level rise. The lower of SG-DNRB was selected as a case study to highlight the necessity to investigate combination of the rainfall-runoff model and the hydrodynamic model for long-term strategies to resource water in the future. The models were calibrated using water level and runoff discharge data during low and flood seasons in 2014. The calibrated results showed satisfactory coefficients (NASH index, R-2 up to 0.70 and RMSE is smaller than 0.20). The results confirmed that the combination of Mike NAM and Mike SHE models is well suitable to simulate runoff discharge in the lower SG-DNRB. Combination of the models can be considered a useful tool to help professional agency operator water resources management projects in other areas in the context of climate change and sea level rise.
机译:本研究结合Mike NAM和Mike SHE模型对西贡东泥河下游流域(SG-DNRB)的径流流量进行了模拟。西贡东泥河流域是越南最大的人口中心和胡志明市的主要工业区。近年来,由于气候变化和海平面上升的影响,该地区因暴雨和涨潮而面临洪水问题。选择SG-DNRB下游作为案例研究,以强调研究降雨-径流模型和水动力模型组合的必要性,以便在未来制定长期水资源战略。利用2014年枯水期和汛期的水位和径流流量数据对模型进行了校准。校准结果显示了令人满意的系数(纳什指数,R-2高达0.70,RMSE小于0.20)。结果证实,Mike NAM和Mike SHE模型的组合非常适合模拟SG-DNRB下游的径流流量。在气候变化和海平面上升的背景下,这些模型的组合可以被认为是帮助专业机构运营商在其他领域开展水资源管理项目的有用工具。

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