未计量地区水电工程下游流量评估

IF 2.2 4区 工程技术 Q2 ENGINEERING, CIVIL
Dipsikha Devi, Arup Kumar Sarma
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引用次数: 0

摘要

水电站大坝会引发山洪暴发,给下游易发洪涝地区带来严重灾害。在集水区尺度上,洪水不仅仅是由水库的释放造成的,大坝下游的支流也可能有重要的流量贡献。估算侧向流贡献的主要挑战是,大多数支流未被测量,且位于难以到达的地区。为了克服这种不一致性并提高下游洪水预警的精度,开发了一个建模框架,利用排水面积比(DAR)方法量化未计量支流对干流的流量贡献。利用优化算法对模型参数进行估计,并根据误差度量选择最佳参数。建模框架由水库运行模型和水动力模型组成,在MATLAB版本2020b环境下开发,便于两个模型的耦合。基于DAR最优模型参数和逐时入流曲线的侧向支流估算流量被纳入模型。分析了有和没有未测量支流侧流的两种情况。结果表明,侧流的加入使洪峰增加了75%以上。用下游阶段和流量数据对模型进行了验证。结果表明,所建立的模型与实际流动数据的量级在同一范围内。实际应用水电站大坝突然泄洪引起的下游洪水是世界范围内普遍关注的问题。为了评估下游潜在的洪水情况,大坝放水通常采用水动力模型。然而,由于水电站大坝大多位于偏远地区,位于无法到达的下游地区的支流没有被测量,因此很难获得这些支流的降水/流量数据。在没有下游流量贡献的情况下,通过水库放水获得的水位低估了洪水的震级。大坝泄洪因其突发性特点,属于高危类,低估的不利后果再怎么强调也不为过。本文提出了一个将水库运行模型、水动力模型和简化面积比例模型耦合的框架来估算下游支流的贡献,从而对下游洪情做出更可靠的估计。该模型框架已在位于印度东北部的Ranganadi水电项目中进行了测试。该耦合模型可以应用于任何油藏,只要对模型参数进行适当的校正。通过应用该模型,灾害管理人员将能够提前发布更可靠的下游洪水预警。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flow Assessment Downstream of a Hydroelectric Project in an Ungauged Area
Hydropower dams can induce flash floods, leading to a severe cataclysm in flood-prone areas at downstream regions. On the catchment scale, flooding is not contributed solely by the reservoir releases, and there can be significant flow contributions from tributaries downstream of the dam. The major challenge in estimating the lateral flow contribution is that most tributaries are ungauged and situated in inaccessible areas. To overcome this inconsistency and to increase the precision of downstream flood warnings, a modeling framework was developed to quantify the flow contribution by ungauged tributaries to the mainstream using the drainage area ratio (DAR) method. The model parameters were estimated using optimization algorithms, and the best parameters were selected based on the error metrics. The modeling framework constitutes a reservoir operation model and hydrodynamic model developed in MATLAB version 2020b environment with the ease of coupling the two models. The estimated flow from the lateral tributaries based on the optimal model parameters of DAR and hourly inflow hydrographs were incorporated into the model. Two scenarios were analysed with and without lateral flow from ungauged tributaries. Results impart that the flood peaks have increased by more than 75% with the incorporation of the lateral flow. The model was validated with downstream stage and discharge data. The results indicated that the magnitude of the model generated and actual flow data were in the same range.Practical ApplicationsFlooding downstream due to sudden release from a hydropower dam is a matter of serious concern worldwide. To evaluate the potential flooding situation downstream, a dam release is generally routed by a hydrodynamic model. However, because hydropower dams are mostly located in remote areas, the tributaries located at inaccessible downstream areas remain ungauged and, therefore, obtaining precipitation/streamflow data of such tributaries become difficult. In absence of downstream flow contribution, the water level obtained by routing the reservoir release underestimates flood magnitude. The dam release flood falls in the high-hazard category because of its suddenness characteristics and, therefore, adverse consequences of underestimation cannot be overemphasized. This paper presents a framework that couples a reservoir operation model, a hydrodynamic model, and a simplified area–proportionate model to estimate downstream tributary contribution, so that a more reliable estimation of the downstream flood situation can be made. The modeling framework has been tested in the Ranganadi Hydropower Project situated in northeastern part of India. The coupled model can be applied to any reservoir with proper calibration of model parameters. By applying this model, a disaster manager would be in a position to disseminate in advance a more reliable downstream flood warning.
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来源期刊
Journal of Hydrologic Engineering
Journal of Hydrologic Engineering 工程技术-工程:土木
CiteScore
4.60
自引率
4.20%
发文量
83
审稿时长
4.5 months
期刊介绍: The Journal of Hydrologic Engineering disseminates information on the development of new hydrologic methods, theories, and applications to current engineering problems. The journal publishes papers on analytical, numerical, and experimental methods for the investigation and modeling of hydrological processes.
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