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Water scarcity footprint of hydropower based on a seasonal approach - Global assessment with sensitivities of model assumptions tested on specific cases

机译:基于季节性方法的水力发电水资源稀少脚印 - 对特定情况测试模型假设敏感性的全局评估

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According to ISO 14046 the quantification of the water scarcity footprint (WSFP) of hydropower reservoirs has to consider (1) the evaporation of water from the surface of the reservoir, (2) the baseline evaporation of water of the same area before the reservoir has been built, and (3) the water scarcity index of the location of the reservoir on a spatially and temporally explicit level. When a reservoir has a storing function, e.g., for irrigation in the dry season, monthly water scarcity indexes have to be used in order to calculate the WSFP, since storage in wet seasons and release in dry seasons can counteract water scarcity and lead to a reduction of overall water scarcity in the watershed. This paper builds on previous research regarding detailed hydropower modeling and extends the water scarcity assessment to include and advance new methods for identifying sensitivities in monthly WSFP of hydropower due to the choice of impact assessment methods. We applied the global analysis to 1473 hydropower plants covering >100 countries, and added a detailed assessment for a subset of important power plants to discuss the limitations of global assessments. We thereby provide the most complete WSFP of global hydropower with state-of-the-art methods, assess the robustness of the global model and different methodological choices, and provide new monthly average AWARE CFs on watershed level. The results show that water scarcity can often be mitigated if the net evaporation is compensated by the storage effects. The two water scarcity metrics applied lead to larger differences than expected, since the monthly dynamics of dams can lead to stronger differences than the differences in the applied water scarcity factors. The new insights help to better understand the WSFP of hydropower and its uncertainties.
机译:根据ISO 14046,水电储层的水资源稀少足迹(WSFP)的量化必须考虑(1)从储层表面蒸发,(2)在水库之前的相同区域的水的基线蒸发建造,(3)水库位置的水资源稀缺指数在空间和时间明确水平上。当储层具有储存功能时,例如用于干燥季节的灌溉,必须使用每月水资源稀缺指数来计算WSFP,因为在潮湿的季节和干燥季节释放中,可以抵消水资源稀缺并导致a降低流域的整体水资源稀缺性。本文建立了先前关于详细水电建模的研究,并扩大了水资源稀缺评估,包括并推进由于影响评估方法选择的水电每月WSFP的敏感性。我们将全球分析应用于1473个水电站,涵盖> 100个国家,并为重要的电厂的子集添加了详细的评估,以讨论全球评估的局限性。由此,我们提供了最先进的方法最完整的全球水电WSFP,评估了全球模型和不同方法选择的稳健性,并在流域水平上提供新的月平均意识的CFS。结果表明,如果通过储存效果补偿净蒸发,通常可以减轻水资源稀缺性。由于水坝的月度动态可能导致差异更大的差异,这两种水资源资料导致差异比预期更大,因为差异比应用水资源稀缺因子的差异更强。新见解有助于更好地了解水电的WSFP及其不确定性。

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