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Estimation and calibration of Manning's roughness coefficients for ungauged watersheds on coastal floodplains

机译:沿海洪泛区未开挖流域的曼宁粗糙度系数的估计和校准

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Knowledge of hydrodynamic behaviour is imperative for the water resource management and the sustainable development of basins. Hydraulic and hydrologic modelling are essential tools for the simulation of this behaviour. However, lack of basin assessment makes modelling input data scarce. This is the case for the Juqueriquere River basin, which comprises the major floodplains of the northern coastline of Sao Paulo State, Brazil. This region is susceptible to floods and is under pressure from real estate speculation, gas exploitation, and infrastructure development for port facilities. The purpose of this study was to estimate and calibrate Manning's roughness coefficients of the Juqueriquere River basin, as they are mandatory data for hydraulic modelling. The estimation of Manning's n values was based on field observations. These data were inserted into the Hydrologic Engineering Center's River Analysis System (HEC-RAS) model for the calibration of the roughness coefficients in a trial and error process. The findings of this study proved that the estimation and calibration methods were efficient, with mean absolute deviations lower than 10% in the studied sections.
机译:对水动力行为的了解对于水资源管理和流域的可持续发展至关重要。水力和水文建模是模拟这种行为的基本工具。但是,缺乏盆地评估使对输入数据进行建模变得稀缺。 Juqueriquere流域就是这种情况,该流域包括巴西圣保罗州北部海岸线的主要洪泛区。该地区容易遭受洪水侵袭,并受到房地产投机,天然气开采和港口设施基础设施建设的压力。这项研究的目的是估计和校准Juqueriquere流域的Manning粗糙度系数,因为它们是水力建模的必需数据。曼宁n值的估计基于现场观察。将这些数据插入水文工程中心的河流分析系统(HEC-RAS)模型中,以在反复试验过程中校准粗糙度系数。这项研究的结果证明,估计和校准方法是有效的,在研究的部分中平均绝对偏差低于10%。

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