应澳大利亚联邦科学与工业研究组织(Commonwealth scientific and Industrial Research Organisation, CSIRO)邀请,2018年4月清华大学组织科技考察团赴澳大利亚墨累-达令河流域开展为期一周的科学考察。考察团从墨累河出海口逆流而上,...应澳大利亚联邦科学与工业研究组织(Commonwealth scientific and Industrial Research Organisation, CSIRO)邀请,2018年4月清华大学组织科技考察团赴澳大利亚墨累-达令河流域开展为期一周的科学考察。考察团从墨累河出海口逆流而上,通过学习交流、现场考察和访问农场等方式,与澳大利亚同行们进行了深入交流,对澳大利亚墨累-达令河流域的气候变化与水的影响与适应对策研究,尤其是陆面水文-气候、极端水文研究、水资源管理体系的最新动态,及其气候变化应对与减缓、极端水文事件风险管理等进一步了解。此次考察对认识多时空尺度的气候-陆面-水文相互作用机理及其对自然强迫和人类活动(含人为强迫和下垫面人类活动)的响应机制,揭示全球气候系统能量-水循环动态演变规律和极端水文事件变化成因,构建全球增暖背景下应对极端水文事件的风险管理体系,提出中国适应性对策具有重要的借鉴意义。展开更多
Runoff is a major component of the water cycle, and its multi-scale fluctuations are important to water resources management across arid and semi-arid regions. This paper coupled the Distributed Time Variant Gain Mod...Runoff is a major component of the water cycle, and its multi-scale fluctuations are important to water resources management across arid and semi-arid regions. This paper coupled the Distributed Time Variant Gain Model (DTVGM) into the Community Land Model (CLM 3.5), replacing the TOPMODEL-based method to simulate runoff in the arid and semi-arid regions of China. The coupled model was calibrated at five gauging stations for the period 1980-2005 and validated for the period 2006-2010. Then, future runoff (2010-2100) was simulated for different Representative Concentration Pathways (RCP) emission scenarios. After that, the spatial distributions of the future runoff for these scenarios were discussed, and the multi-scale fluctuation characteristics of the future annual runoff for the RCP scenarios were explored using the Ensemble Empirical Mode Decomposition (EEMD) analysis method. Finally, the decadal variabilities of the future annual runoff for the entire study area and the five catchments in it were investigated. The results showed that the future annual runoff had slowly decreasing trends for scenarios RCP 2.6 and RCP 8.5 during the period 2010-2100, whereas it had a non-monotonic trend for the RCP 4.5 scenario, with a slow increase after the 2050s. Additionally, the future annual runoff clearly varied over a decadal time scale, indicating that it had clear divisions between dry and wet periods. The longest dry period was approximately 15 years (2040-2055) for the RCP 2.6 scenario and 25 years (2045-2070) for the RCP 4.5 scenario. However, the RCP 8.5 scenario was predicted to have a long dry period starting from 2045. Under these scenarios, the water resources situation of the study area will be extremely severe. Therefore, adaptive water management measures addressing climate change should be adopted to proactively confront the risks of water resources.展开更多
基于第6次国际耦合模式比较计划(the coupled model intercomparison program in phase 6,CMIP6)中的12个气候模式,以莱茵河流域为研究对象,开展了气候模式对极端气温和极端降水模拟能力的评估优选。在此基础上,应用多模式集合平均方法...基于第6次国际耦合模式比较计划(the coupled model intercomparison program in phase 6,CMIP6)中的12个气候模式,以莱茵河流域为研究对象,开展了气候模式对极端气温和极端降水模拟能力的评估优选。在此基础上,应用多模式集合平均方法预估了不同情景下未来时期(2021—2050年)极端气温和降水的变化情况,并通过构建SWAT(soil and water assessment tool)模型预估了未来极端洪水变化趋势。结果表明:未来时期莱茵河流域极端降水量增加且基本呈上升趋势,流域内极端高温事件增加;流域内罗克瑙站和特里尔站未来时期年径流量相对历史时期有所增加,洛比特站和法兰克福站则减少;不同情景下洛比特站、法兰克福站和罗克瑙站未来极端洪水强度和频率相对历史时期均呈减小趋势,特里尔站变化的不确定性较大。展开更多
The terrestrial hydrological process is an essential but weak link in global/regional climate models. In this paper, the development status, research hotspots and trends in coupled atmosphere-hydrology simulations are...The terrestrial hydrological process is an essential but weak link in global/regional climate models. In this paper, the development status, research hotspots and trends in coupled atmosphere-hydrology simulations are identified through a bibliometric analysis, and the challenges and opportunities in this field are reviewed and summarized. Most climate models adopt the one-dimensional (vertical) land surface parameterization, which does not include a detailed description of basin-scale hydrological processes, particularly the effects of human activities on the underlying surfaces. To understand the interaction mechanism between hydrological processes and climate change, a large number of studies focused on the climate feedback effects of hydrological processes at different spatio-temporal scales, mainly through the coupling of hydrological and climate models. The improvement of the parameterization of hydrological process and the development of large-scale hydrological model in land surface process model lay a foundation for terrestrial hydrological-climate coupling simulation, based on which, the study of terrestrial hydrological-climate coupling is evolving from the traditional unidirectional coupling research to the two-way coupling study of "climate-hydrology" feedback. However, studies of fully coupled atmosphere-hydrology simulations (also called atmosphere-hydrology two-way coupling) are far from mature. The main challenges associated with these studies are: improving the potential mismatch in hydrological models and climate models; improving the stability of coupled systems; developing an effective scale conversion scheme; perfecting the parameterization scheme; evaluating parameter uncertainties; developing effective methodology for model parameter transplanting; and improving the applicability of models and high/super-resolution simulation. Solving these problems and improving simulation accuracy are directions for future hydro-climate coupling simulation research.展开更多
This paper addresses issues on adaptive water management under the impact of climate change. Based on a set of comprehensive indicators of water system, a decision making approach of multi-objects is developed and app...This paper addresses issues on adaptive water management under the impact of climate change. Based on a set of comprehensive indicators of water system, a decision making approach of multi-objects is developed and applied to quantify water adaptive man- agement for the demands of water sustainable use, water environmental protection and eco-water requirement under the climate change. For this study in China, two key indicators are proposed, namely (1) the water resources vulnerability (V) that was represented by inte- grated sensitivity (S) and resilience (C) of climate change impact on water resources, and (2) the sustainability of socio-economy and water environment, marked by DD, that is integrated scaler of socio-economic development (EG) based on the amount of GDP and the water en- vironment and relative eco-system quality (LI). To find a reasonable solution for adaptive water management, a multi-objective decision making model of adaptive water management is further developed and the multi-objective model was transformed into an integrated single optimization model through developing an integrated measure function, called as VDD=DD/V. This approach has been applied to adaptive water resources planning and management for case study of China with new policy, called as the strict management of water resources based on three red line controls, i.e., the control of total water use by the total water re- sources allocation, the control of lower water use efficiency by the water demand manage- ment and the control of the total waste water load by water quality management in the East- ern China Monsoon Region that covers major eight big river basins including Yangtze River, Yellow River, Haihe River and Huaihe River. It is shown that the synthetic representation of water resource vulnerability and socio-economic sustainability by the integrated objective function (VDD) and integrated decision making model are workable and practicable. Adaptive management effect of the criterion compliance rate and water use efficiency are more ap- preciable through new water policy of the three red line controls, which can reduce 21.3% of the water resources vulnerability (V) and increase 18.4% of the sustainability of socio- economy and water environment (DD) for the unfavorable scenario of climate change in2030.展开更多
文摘应澳大利亚联邦科学与工业研究组织(Commonwealth scientific and Industrial Research Organisation, CSIRO)邀请,2018年4月清华大学组织科技考察团赴澳大利亚墨累-达令河流域开展为期一周的科学考察。考察团从墨累河出海口逆流而上,通过学习交流、现场考察和访问农场等方式,与澳大利亚同行们进行了深入交流,对澳大利亚墨累-达令河流域的气候变化与水的影响与适应对策研究,尤其是陆面水文-气候、极端水文研究、水资源管理体系的最新动态,及其气候变化应对与减缓、极端水文事件风险管理等进一步了解。此次考察对认识多时空尺度的气候-陆面-水文相互作用机理及其对自然强迫和人类活动(含人为强迫和下垫面人类活动)的响应机制,揭示全球气候系统能量-水循环动态演变规律和极端水文事件变化成因,构建全球增暖背景下应对极端水文事件的风险管理体系,提出中国适应性对策具有重要的借鉴意义。
基金supported by the National Basic Research Program of China(2012CB956204)We acknowledge the modeling groups for providing the data for analysis,the Program for Climate Model Diagnosis and Intercomparison(PCMDI)the World Climate Research Programme’s(WCRP’s)Coupled Model Intercomparison Project for collecting and archiving the model output and organizing the data analysis
文摘Runoff is a major component of the water cycle, and its multi-scale fluctuations are important to water resources management across arid and semi-arid regions. This paper coupled the Distributed Time Variant Gain Model (DTVGM) into the Community Land Model (CLM 3.5), replacing the TOPMODEL-based method to simulate runoff in the arid and semi-arid regions of China. The coupled model was calibrated at five gauging stations for the period 1980-2005 and validated for the period 2006-2010. Then, future runoff (2010-2100) was simulated for different Representative Concentration Pathways (RCP) emission scenarios. After that, the spatial distributions of the future runoff for these scenarios were discussed, and the multi-scale fluctuation characteristics of the future annual runoff for the RCP scenarios were explored using the Ensemble Empirical Mode Decomposition (EEMD) analysis method. Finally, the decadal variabilities of the future annual runoff for the entire study area and the five catchments in it were investigated. The results showed that the future annual runoff had slowly decreasing trends for scenarios RCP 2.6 and RCP 8.5 during the period 2010-2100, whereas it had a non-monotonic trend for the RCP 4.5 scenario, with a slow increase after the 2050s. Additionally, the future annual runoff clearly varied over a decadal time scale, indicating that it had clear divisions between dry and wet periods. The longest dry period was approximately 15 years (2040-2055) for the RCP 2.6 scenario and 25 years (2045-2070) for the RCP 4.5 scenario. However, the RCP 8.5 scenario was predicted to have a long dry period starting from 2045. Under these scenarios, the water resources situation of the study area will be extremely severe. Therefore, adaptive water management measures addressing climate change should be adopted to proactively confront the risks of water resources.
文摘基于第6次国际耦合模式比较计划(the coupled model intercomparison program in phase 6,CMIP6)中的12个气候模式,以莱茵河流域为研究对象,开展了气候模式对极端气温和极端降水模拟能力的评估优选。在此基础上,应用多模式集合平均方法预估了不同情景下未来时期(2021—2050年)极端气温和降水的变化情况,并通过构建SWAT(soil and water assessment tool)模型预估了未来极端洪水变化趋势。结果表明:未来时期莱茵河流域极端降水量增加且基本呈上升趋势,流域内极端高温事件增加;流域内罗克瑙站和特里尔站未来时期年径流量相对历史时期有所增加,洛比特站和法兰克福站则减少;不同情景下洛比特站、法兰克福站和罗克瑙站未来极端洪水强度和频率相对历史时期均呈减小趋势,特里尔站变化的不确定性较大。
基金National Key R&D Program of China,No.2017YFA0603702National Natural Science Foundation of China,No.41571019,No.41701023,No.41571028China Postdoctoral Science Foundation,No.2017M610867
文摘The terrestrial hydrological process is an essential but weak link in global/regional climate models. In this paper, the development status, research hotspots and trends in coupled atmosphere-hydrology simulations are identified through a bibliometric analysis, and the challenges and opportunities in this field are reviewed and summarized. Most climate models adopt the one-dimensional (vertical) land surface parameterization, which does not include a detailed description of basin-scale hydrological processes, particularly the effects of human activities on the underlying surfaces. To understand the interaction mechanism between hydrological processes and climate change, a large number of studies focused on the climate feedback effects of hydrological processes at different spatio-temporal scales, mainly through the coupling of hydrological and climate models. The improvement of the parameterization of hydrological process and the development of large-scale hydrological model in land surface process model lay a foundation for terrestrial hydrological-climate coupling simulation, based on which, the study of terrestrial hydrological-climate coupling is evolving from the traditional unidirectional coupling research to the two-way coupling study of "climate-hydrology" feedback. However, studies of fully coupled atmosphere-hydrology simulations (also called atmosphere-hydrology two-way coupling) are far from mature. The main challenges associated with these studies are: improving the potential mismatch in hydrological models and climate models; improving the stability of coupled systems; developing an effective scale conversion scheme; perfecting the parameterization scheme; evaluating parameter uncertainties; developing effective methodology for model parameter transplanting; and improving the applicability of models and high/super-resolution simulation. Solving these problems and improving simulation accuracy are directions for future hydro-climate coupling simulation research.
基金Major National Scientific Research Projects, No.2012CB956204 National Basic Research Program of China, No.2015CB452701, No.2010CB428406 National Natural Science Foundation of China, No.51279140
文摘This paper addresses issues on adaptive water management under the impact of climate change. Based on a set of comprehensive indicators of water system, a decision making approach of multi-objects is developed and applied to quantify water adaptive man- agement for the demands of water sustainable use, water environmental protection and eco-water requirement under the climate change. For this study in China, two key indicators are proposed, namely (1) the water resources vulnerability (V) that was represented by inte- grated sensitivity (S) and resilience (C) of climate change impact on water resources, and (2) the sustainability of socio-economy and water environment, marked by DD, that is integrated scaler of socio-economic development (EG) based on the amount of GDP and the water en- vironment and relative eco-system quality (LI). To find a reasonable solution for adaptive water management, a multi-objective decision making model of adaptive water management is further developed and the multi-objective model was transformed into an integrated single optimization model through developing an integrated measure function, called as VDD=DD/V. This approach has been applied to adaptive water resources planning and management for case study of China with new policy, called as the strict management of water resources based on three red line controls, i.e., the control of total water use by the total water re- sources allocation, the control of lower water use efficiency by the water demand manage- ment and the control of the total waste water load by water quality management in the East- ern China Monsoon Region that covers major eight big river basins including Yangtze River, Yellow River, Haihe River and Huaihe River. It is shown that the synthetic representation of water resource vulnerability and socio-economic sustainability by the integrated objective function (VDD) and integrated decision making model are workable and practicable. Adaptive management effect of the criterion compliance rate and water use efficiency are more ap- preciable through new water policy of the three red line controls, which can reduce 21.3% of the water resources vulnerability (V) and increase 18.4% of the sustainability of socio- economy and water environment (DD) for the unfavorable scenario of climate change in2030.