利用中国科学院西北生态环境资源研究院玛曲土壤温湿观测网2008—2009年、2013—2014年数据验证了3套再分析资料ERA-Interim,CFSR(Climate Forecast System Reanalysis)和JRA-55(Japanese 55-year Reanalysis)在黄河源区的适用性,结合...利用中国科学院西北生态环境资源研究院玛曲土壤温湿观测网2008—2009年、2013—2014年数据验证了3套再分析资料ERA-Interim,CFSR(Climate Forecast System Reanalysis)和JRA-55(Japanese 55-year Reanalysis)在黄河源区的适用性,结合中国气象数据网玛曲气象站1980—2014年观测资料与CLM4.5(Community Land Model4.5)进一步分析了黄河源区近35年气候变迁、土壤温湿分布和变化,结果表明:CFSR能够较好地描绘黄河源区土壤湿度变化,ERA-Interim对于土壤温度刻画能力更强,JRA-55效果较差;35年来气温、土壤温湿总体呈上升趋势且发生突变;近年来10 crm土壤温湿有暖干化趋势,降水量稍有增加,土壤冷季冻结周期变短,暖季持续时间拉长;CLM4.5模拟精度高,能够较好地刻画源区土壤温湿变化细节,两湖及黄河周边暖季为冷湿中心,冷季为暖干中心。展开更多
黄河源区是黄河流域主要的产流区和水源涵养区,研究和探索该区域陆面水文过程对理解陆面过程及水文循环特征,揭示陆面—水文耦合过程具有重要的科学意义。本研究基于2009~2018年中国区域高时空分辨率地面气象要素驱动数据(China Meteoro...黄河源区是黄河流域主要的产流区和水源涵养区,研究和探索该区域陆面水文过程对理解陆面过程及水文循环特征,揭示陆面—水文耦合过程具有重要的科学意义。本研究基于2009~2018年中国区域高时空分辨率地面气象要素驱动数据(China Meteorological Forcing Dataset,简称CMFD)、全球高分辨率降水数据集(Climate Prediction Center Morphing Technique,简称CMORPH)、热带降雨测量卫星(Tropical Rainfall Measuring Mission,简称TRMM)及全球陆地数据同化系统(Global Land Data Assimilation System,简称GLDAS)降水,评估了四类降水产品在黄河源区的降水精度,在此基础上,利用最优降水数据驱动独立运行的天气研究预报及水文耦合模型系统(Weather Research and Forecasting Model Hydrological modeling system,简称WRF-Hydro),探究该模式在黄河源区径流模拟的适用性。结果表明:四类降水产品均能够反映出降水的分布特征,但在量值及细节捕捉上存在显著差异。CMFD在不同时空尺度上都能很好地捕捉到降水的演变特征,其与日观测降水的相关系数达到0.99,均方根误差仅为0.25 mm。在表征降水能力方面,四类降水产品总体表现为CMFD>CMORPH>TRMM>GLDAS,CMFD的平均探测成功率(Critical Success Index,简称CSI)在0.93以上。经参数率定后的WRF-Hydro模式在黄河源区月径流模拟方面表现较好,率定期纳什系数(Nash-Sutcliffe efficiency coefficient,简称NSE)均在0.92以上,而验证期丰水年模拟结果明显好于枯水年(NSE=0.15),这与降水和径流的非线性程度有关。本研究方案和结果为亚寒带半干旱气候区大尺度流域水文模拟及径流预测提供了一定的参考价值。展开更多
As one of China's most important ecological conservation regions,the source region of the Yellow River(SRYR) has a fragile ecological environment.Investigating land use transformations and their ecological consequ...As one of China's most important ecological conservation regions,the source region of the Yellow River(SRYR) has a fragile ecological environment.Investigating land use transformations and their ecological consequences in this region is of great significance for optimizing territorial spatial structure and promoting regional sustainable development.Based on the dominant functions of production-living-ecological space(PLES),we employed the land use transfer matrix and the standard deviational ellipse method to elucidate the spatiotemporal evolution characteristics of PLES in the SRYR from 2000 to 2020.Furthermore,the mechanism underlying the differentiation of eco-environmental effects in this region was explored using the optimal parameter-based geographical detector(OPGD) model.Results indicated that ecological space predominated within the PLES of the SRYR,accounting for approximately 98.74% of the total area.Living space was sparsely distributed in township areas with a proportion below 1.00%.Production space was mainly distributed in Guinan County and Gonghe County,accounting for about 1.16% of the area.In terms of the temporal scale,during 2000–2020,the overall eco-environmental quality of the SRYR exhibited an improving trend,primarily driven by the conversion of other ecological spaces into grassland ecological space.Interaction detection results revealed that the interaction between normalized difference vegetation index and gross domestic product was the strongest.In addition,the interaction between precipitation and temperature showed a significant bilinear enhancement effect.This finding suggests that the variations in eco-environmental quality in the SRYR during 2000–2020 have been jointly influenced by natural,climatic,and human factors.This study helps to provide a scientific basis for the rational layout of PLES and guiding ecological restoration efforts in the SRYR.展开更多
文摘利用中国科学院西北生态环境资源研究院玛曲土壤温湿观测网2008—2009年、2013—2014年数据验证了3套再分析资料ERA-Interim,CFSR(Climate Forecast System Reanalysis)和JRA-55(Japanese 55-year Reanalysis)在黄河源区的适用性,结合中国气象数据网玛曲气象站1980—2014年观测资料与CLM4.5(Community Land Model4.5)进一步分析了黄河源区近35年气候变迁、土壤温湿分布和变化,结果表明:CFSR能够较好地描绘黄河源区土壤湿度变化,ERA-Interim对于土壤温度刻画能力更强,JRA-55效果较差;35年来气温、土壤温湿总体呈上升趋势且发生突变;近年来10 crm土壤温湿有暖干化趋势,降水量稍有增加,土壤冷季冻结周期变短,暖季持续时间拉长;CLM4.5模拟精度高,能够较好地刻画源区土壤温湿变化细节,两湖及黄河周边暖季为冷湿中心,冷季为暖干中心。
文摘黄河源区是黄河流域主要的产流区和水源涵养区,研究和探索该区域陆面水文过程对理解陆面过程及水文循环特征,揭示陆面—水文耦合过程具有重要的科学意义。本研究基于2009~2018年中国区域高时空分辨率地面气象要素驱动数据(China Meteorological Forcing Dataset,简称CMFD)、全球高分辨率降水数据集(Climate Prediction Center Morphing Technique,简称CMORPH)、热带降雨测量卫星(Tropical Rainfall Measuring Mission,简称TRMM)及全球陆地数据同化系统(Global Land Data Assimilation System,简称GLDAS)降水,评估了四类降水产品在黄河源区的降水精度,在此基础上,利用最优降水数据驱动独立运行的天气研究预报及水文耦合模型系统(Weather Research and Forecasting Model Hydrological modeling system,简称WRF-Hydro),探究该模式在黄河源区径流模拟的适用性。结果表明:四类降水产品均能够反映出降水的分布特征,但在量值及细节捕捉上存在显著差异。CMFD在不同时空尺度上都能很好地捕捉到降水的演变特征,其与日观测降水的相关系数达到0.99,均方根误差仅为0.25 mm。在表征降水能力方面,四类降水产品总体表现为CMFD>CMORPH>TRMM>GLDAS,CMFD的平均探测成功率(Critical Success Index,简称CSI)在0.93以上。经参数率定后的WRF-Hydro模式在黄河源区月径流模拟方面表现较好,率定期纳什系数(Nash-Sutcliffe efficiency coefficient,简称NSE)均在0.92以上,而验证期丰水年模拟结果明显好于枯水年(NSE=0.15),这与降水和径流的非线性程度有关。本研究方案和结果为亚寒带半干旱气候区大尺度流域水文模拟及径流预测提供了一定的参考价值。
基金financially supported by the Qinghai Provincial Applied Basic Research Program,China (2024-ZJ-953)。
文摘As one of China's most important ecological conservation regions,the source region of the Yellow River(SRYR) has a fragile ecological environment.Investigating land use transformations and their ecological consequences in this region is of great significance for optimizing territorial spatial structure and promoting regional sustainable development.Based on the dominant functions of production-living-ecological space(PLES),we employed the land use transfer matrix and the standard deviational ellipse method to elucidate the spatiotemporal evolution characteristics of PLES in the SRYR from 2000 to 2020.Furthermore,the mechanism underlying the differentiation of eco-environmental effects in this region was explored using the optimal parameter-based geographical detector(OPGD) model.Results indicated that ecological space predominated within the PLES of the SRYR,accounting for approximately 98.74% of the total area.Living space was sparsely distributed in township areas with a proportion below 1.00%.Production space was mainly distributed in Guinan County and Gonghe County,accounting for about 1.16% of the area.In terms of the temporal scale,during 2000–2020,the overall eco-environmental quality of the SRYR exhibited an improving trend,primarily driven by the conversion of other ecological spaces into grassland ecological space.Interaction detection results revealed that the interaction between normalized difference vegetation index and gross domestic product was the strongest.In addition,the interaction between precipitation and temperature showed a significant bilinear enhancement effect.This finding suggests that the variations in eco-environmental quality in the SRYR during 2000–2020 have been jointly influenced by natural,climatic,and human factors.This study helps to provide a scientific basis for the rational layout of PLES and guiding ecological restoration efforts in the SRYR.
