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高寒地区梯级水库未来发电对气候变化的响应。

Response of future hydropower generation of cascade reservoirs to climate change in alpine regions.

机构信息

Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China.

College of Hydrology and Water Resources, Hohai University, Nanjing, China.

出版信息

PLoS One. 2022 Aug 19;17(8):e0269389. doi: 10.1371/journal.pone.0269389. eCollection 2022.

Abstract

Climate warming accelerates the hydrological cycle, especially in high-latitude and high-altitude areas. The increase in temperature will increase the amount of snow and glacier melting and change the runoff, which will affect the operations of cascade reservoirs significantly. Therefore, taking the upper reaches of the Yellow River with an alpine climate as an example, we propose an improved SIMHYD-SNOW, which considers the snowmelt runoff process. The impacts of climate changes on the runoff process were revealed based on the SIMHYD-SNOW model using the precipitation and temperature data predicted by the SDSM model. A model for the maximum power generation of the cascade reservoirs in the upper reaches of the Yellow River was constructed to explore the impacts of climate changes on the inter-annual and intra-annual hydropower generation of the cascade reservoirs at different periods in the future. The results show that climate change has changed the spatial and temporal allocation of water resources in this area. The future runoff will decrease during the flood period (July to September) but increase significantly during the non-flood period. The inter-annual and intra-annual hydropower generation under the RCP8.5 climate change scenario is significantly lower than the RCP2.6 and RCP4.5 climate change scenarios, and as the CO2 emission concentration increases, this gap increases significantly. This study can provide technical references for the precise formulation of water resources management under climate change.

摘要

气候变暖加速了水文循环,特别是在高纬度和高海拔地区。温度的升高会增加雪和冰川融化的量,并改变径流量,这将显著影响梯级水库的运行。因此,以高山气候的黄河上游为例,我们提出了一种改进的 SIMHYD-SNOW,该模型考虑了融雪径流过程。基于 SDSM 模型预测的降水和温度数据,利用 SIMHYD-SNOW 模型揭示了气候变化对径流过程的影响。构建了黄河上游梯级水库最大出力模型,以探讨未来不同时期气候变化对梯级水库年际和年内水力发电的影响。结果表明,气候变化改变了该地区水资源的时空分配。未来洪水期(7 月至 9 月)径流量减少,但非洪水期显著增加。在 RCP8.5 气候变化情景下,年际和年内水力发电量明显低于 RCP2.6 和 RCP4.5 气候变化情景,随着 CO2 排放浓度的增加,这一差距显著增大。本研究可为气候变化下水资源管理的精确制定提供技术参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7823/9390902/65d84c818852/pone.0269389.g001.jpg

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