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Evaluation of Climate Change in the Qinghai Lake Basin since Last Glacial Maximum with a Coupled Catchment-Lake Model

机译:末次冰期以来青海湖流域气候变化的耦合流域湖模型评价

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The linkage between past climate and hydrology offers a basis for evaluating the effects of climate change on hydrology in the past and in the future. Qinghai Lake, the largest inland lake in China, is a hydrologically closed basin lake and has continuously recorded climate changes since the last glacial maximum (LGM). The sedimentary and geochemical studies on the Qinghai Lake reveal the variations of Holocene Asian monsoon. Previous studies show that precipitation variability is the most important index for the monsoon intensity. It is critical quantitatively to extract precipitation from paleolake records for understanding the Asian monsoon evolution. In this study, a coupled catchment-lake hydrologic model is implemented to evaluate how the hydrology responds to climate changes (mean annual temperature and mean annual precipitation) in the Qinghai Lake basin since the LGM. The model includes three major components: basin module, catchment hydrology module, and Lake Module. The basin module is used to derive basin geometry from the digital elevation model (DEM). The catchment hydrology module includes surface and subsurface flow processes and their interactions with lakes. The lake module, an energy and water balance model, is used to compute water budget of the lake. The model has been calibrated with modern observation data. The 1 km DEM and simulated results with a regional climate model that is based on boundary conditions provided by the global circulation model are used to drive the catchment-lake model. Simulated results compare well with the results from previous studies through macrofossil, sedimentary, and geochemical records
机译:过去的气候与水文学之间的联系为评估过去和将来气候变化对水文学的影响提供了基础。青海湖是中国最大的内陆湖,是一个水文封闭的流域湖,自上次冰川期(LGM)以来一直记录着气候变化。青海湖的沉积和地球化学研究揭示了全新世亚洲季风的变化。先前的研究表明,降水变化是季风强度最重要的指标。定量地从古湖记录中提取降水对于了解亚洲季风的演变至关重要。在这项研究中,采用了流域-湖泊耦合水文模型,以评估自LGM以来青海湖流域的水文如何响应气候变化(平均年温度和年平均降水量)。该模型包括三个主要部分:流域模块,流域水文模块和湖泊模块。盆地模块用于从数字高程模型(DEM)导出盆地几何形状。流域水文学模块包括地表和地下流过程及其与湖泊的相互作用。湖泊模块是一种能量和水的平衡模型,用于计算湖泊的水预算。该模型已使用现代观测数据进行了校准。 1 km DEM和具有基于全球循环模型提供的边界条件的区域气候模型的模拟结果用于驱动集水湖模型。通过宏观化石,沉积和地球化学记录,模拟结果与先前研究的结果具有很好的对比

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