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    安徽省皖南山区小型水库预报预警探索与实践

    Exploration and practice of forecasting and early warning for small reservoirs in the mountainous areas of Southern Anhui Province

    • 摘要: 为进一步提升安徽省小型水库预报预警能力,基于安徽省小型水库数量多、范围广、资料条件差等特点,将安徽省皖南山区分为3个片区,分别选取8个河道水文站构建新安江模型,并进行参数率定分析。在对每个小型水库流域特征分析的基础上构建新安江模型,利用流域相似性原理将代表站以上流域参数移植至小型水库流域上,实现小型水库入库洪水预报。并利用水库库容资料和泄流曲线构建小型水库调度模型,进行水库调洪演算,实现水库水位预报。选取部分小型水库,利用2024年6月18—20日降雨过程的雨水情数据对小型水库预报结果进行验证分析。结果表明:该方法能够实现全省小型水库水位预报,最高水位相对误差能控制在30%以内,合格率达到70%。但仍然存在水库监测数据质量不高、水库基础信息不完整、水库实际情况掌握不足等问题影响小型水库洪水预报精度。

       

      Abstract: In order to further improve the forecasting and early warning ability of small reservoirs in Anhui Province, based on the characteristics of large number, wide range and poor data conditions of small reservoirs in Anhui Province, the mountainous area of southern Anhui was divided into 3 regions, and 8 hydrological stations were selected to construct the Xin'anjiang model, and the parameter calibration analysis was carried out. On the basis of analyzing the characteristics of each small reservoir basin, the Xin'anjiang model was constructed. The parameters of representative stations are transplanted to small reservoirs by using the watershed similarity principle, so that the inflow of reservoirs was calculated. Using reservoir capacity data and discharge curve, small reservoirs dispatching model was constructed to calculate water level process. Select some small reservoirs and use the reservoir monitoring data from June 18 to 20 in 2024 to verify and analyze the forecast results. The result shows that: This method can be used to forecast the water level of small reservoirs in the whole province, the relative error of the highest water level can be controlled within 30%, the pass rate reached 70%. However, the quality of reservoir monitoring data is still not high, The basic information of reservoir is incomplete and the lack of knowledge of the actual situation of reservoir all affect the accuracy of flood prediction in small reservoirs.

       

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