Wetland water storage capacity underpins the diverse wetland hydrological functions,making its quantitative assessment essential for watershed eco-hydrological regulation and integrated water resource management.Howev...Wetland water storage capacity underpins the diverse wetland hydrological functions,making its quantitative assessment essential for watershed eco-hydrological regulation and integrated water resource management.However,previous studies have focused on estimating the water storage capacity of individual or small-scale wetlands,and a robust technical methodology for accurately assessing wetland water storage capacity at large watershed scales remains underdeveloped.To address this gap,this study improved the wetland module and grid-calibrated soil physical-chemical parameters to construct an eco-hydrological model for the accurate assessment of watershed wetland water storage capacity.The model was applied to simulate the evolution of wetland water storage capacity in the Nenjiang River Basin from 1990 to 2020.The results indicate that:(1) The improved wetland module increased the simulation accuracy of runoff depth,with the Pearson correlation coefficient rising by 2.4% to 9.0%.Grid calibration of soil physical-chemical parameters enhanced the simulation accuracy of surface and deep soil moisture,with the Pearson correlation coefficient rising by 12.5% to 53.9%.The constructed model accurately simulated watershed wetland hydrological processes,achieving a Nash-Sutcliffe efficiency coefficient of 0.78 and a determination coefficient of 0.80.(2) In 1990,the wetland water storage capacity of the Nenjiang River Basin was 33.2 billion m^(3),with wetland soil water storage capacity about 2.5 times greater than depression storage capacity.By 2015,the cumulative loss of wetland water storage capacity reached 6.4 billion m^(3),accounting for 27.8% of the basin's natural annual runoff.By 2020,the wetland water storage capacity had recovered by 1.0 billion m^(3).The decline was mainly due to large-scale wetland reclamation and ecological degradation.These findings deepen the understanding of wetland hydrological function variability and support wetland restoration and flood control decisions in the Nenjiang River Basin.Furthermore,this study offers a novel methodology for assessing wetland water storage at large scales,with significant implications for global integrated water resource management based on wetland hydrological services.展开更多
The Yellow River Basin faces water scarcity and ecological fragility.Changes on the land surface,characterized by large-scale soil and water conservation measures,have a significant impact on river runoff and ecologic...The Yellow River Basin faces water scarcity and ecological fragility.Changes on the land surface,characterized by large-scale soil and water conservation measures,have a significant impact on river runoff and ecological environment.However,there are still great uncertainties in the scientific understanding of the mechanisms by which multiple driver impact eco-hydrological processes due to the diversity of land surfaces and the complexity of the coupling processes.As an international scientific frontier on interdisciplinary studies in climatology,hydrology,ecology,and other related fields,it is significant to study the mechanisms and assess the impacts of land surface change on eco-hydrological risk to support ecological restoration plan and sustainable water resources utilization in the Yellow River Basin.Taking the Yellow River Basin as the study area,this study proposes several important research initiatives,focusing on addressing the ecological and water resources problems in the Loess Plateau.These initiatives include(1)to quantify the individual effect of land surface elements(e.g.,vegetation,terraces,and check dam)and reveal the nonlinear driving mechanisms of multiple drivers on eco-hydrological processes;(2)to construct a distributed eco-hydrological model that couples dynamic land surface features,and simulate eco-hydrological processes in a changing environment;(3)to improve the ecological risk assessment indicator system and methods for assessing the impacts of land surface changes on eco-hydrological synergistic functions and ecological risk;(4)to establish an ecological regulation model based on multiobjective game theory and adopt an adaptive regulation mode for ecological risk management.The research could enrich the scientific understanding and theory of eco-hydrology,and prompt disciplinary studies of ecology,hydrology,climatology,and other fields.The expected academic achievements will innovate eco-hydrological simulation and assessment techniques in a changing environment,and strongly support the implementation of the national strategy for ecological protection and high-quality development in the Yellow River Basin.展开更多
随着片上系统(System on Chip,SoC)芯片规模与功能复杂度的膨胀,硬件加速器已成为大规模SoC的重要组成部分。为了缩短产品交付时间,有必要开发硬件加速器仿真模型,以在SoC设计初期支撑架构的探索与评估。在对硬件加速器的特点与建模需...随着片上系统(System on Chip,SoC)芯片规模与功能复杂度的膨胀,硬件加速器已成为大规模SoC的重要组成部分。为了缩短产品交付时间,有必要开发硬件加速器仿真模型,以在SoC设计初期支撑架构的探索与评估。在对硬件加速器的特点与建模需求进行分析的基础上,提出一种基于AXI验证IP(Verification IP,VIP)、SystemVerilog信箱和旗语的硬件加速器建模方法。该方法支持完备的总线协议特性,同时支持多个处理引擎的并行处理与乱序输出。以实际SoC项目中的通信基带加速器为例,对提出的建模方法进行介绍,并进行相应的系统级仿真与分析。所提出的建模方法可实现对硬件加速器总线行为的高效建模,能够有力支撑SoC验证以及系统架构评估,缩短项目的开发周期。展开更多
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences,China(Grant No.XDA28020501)the National Key Research and Development Program of China(Grant No.2021YFC3200203)the National Natural Science Foundation of China(Grant No.U24A20570)。
文摘Wetland water storage capacity underpins the diverse wetland hydrological functions,making its quantitative assessment essential for watershed eco-hydrological regulation and integrated water resource management.However,previous studies have focused on estimating the water storage capacity of individual or small-scale wetlands,and a robust technical methodology for accurately assessing wetland water storage capacity at large watershed scales remains underdeveloped.To address this gap,this study improved the wetland module and grid-calibrated soil physical-chemical parameters to construct an eco-hydrological model for the accurate assessment of watershed wetland water storage capacity.The model was applied to simulate the evolution of wetland water storage capacity in the Nenjiang River Basin from 1990 to 2020.The results indicate that:(1) The improved wetland module increased the simulation accuracy of runoff depth,with the Pearson correlation coefficient rising by 2.4% to 9.0%.Grid calibration of soil physical-chemical parameters enhanced the simulation accuracy of surface and deep soil moisture,with the Pearson correlation coefficient rising by 12.5% to 53.9%.The constructed model accurately simulated watershed wetland hydrological processes,achieving a Nash-Sutcliffe efficiency coefficient of 0.78 and a determination coefficient of 0.80.(2) In 1990,the wetland water storage capacity of the Nenjiang River Basin was 33.2 billion m^(3),with wetland soil water storage capacity about 2.5 times greater than depression storage capacity.By 2015,the cumulative loss of wetland water storage capacity reached 6.4 billion m^(3),accounting for 27.8% of the basin's natural annual runoff.By 2020,the wetland water storage capacity had recovered by 1.0 billion m^(3).The decline was mainly due to large-scale wetland reclamation and ecological degradation.These findings deepen the understanding of wetland hydrological function variability and support wetland restoration and flood control decisions in the Nenjiang River Basin.Furthermore,this study offers a novel methodology for assessing wetland water storage at large scales,with significant implications for global integrated water resource management based on wetland hydrological services.
基金National Natural Science Foundation of China(U2243228,52121006)National Key Research and Development Programs of China(2021YFC3201100,2022YFC3205200)State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering(2022nkzd01,2021nkz490211).
文摘The Yellow River Basin faces water scarcity and ecological fragility.Changes on the land surface,characterized by large-scale soil and water conservation measures,have a significant impact on river runoff and ecological environment.However,there are still great uncertainties in the scientific understanding of the mechanisms by which multiple driver impact eco-hydrological processes due to the diversity of land surfaces and the complexity of the coupling processes.As an international scientific frontier on interdisciplinary studies in climatology,hydrology,ecology,and other related fields,it is significant to study the mechanisms and assess the impacts of land surface change on eco-hydrological risk to support ecological restoration plan and sustainable water resources utilization in the Yellow River Basin.Taking the Yellow River Basin as the study area,this study proposes several important research initiatives,focusing on addressing the ecological and water resources problems in the Loess Plateau.These initiatives include(1)to quantify the individual effect of land surface elements(e.g.,vegetation,terraces,and check dam)and reveal the nonlinear driving mechanisms of multiple drivers on eco-hydrological processes;(2)to construct a distributed eco-hydrological model that couples dynamic land surface features,and simulate eco-hydrological processes in a changing environment;(3)to improve the ecological risk assessment indicator system and methods for assessing the impacts of land surface changes on eco-hydrological synergistic functions and ecological risk;(4)to establish an ecological regulation model based on multiobjective game theory and adopt an adaptive regulation mode for ecological risk management.The research could enrich the scientific understanding and theory of eco-hydrology,and prompt disciplinary studies of ecology,hydrology,climatology,and other fields.The expected academic achievements will innovate eco-hydrological simulation and assessment techniques in a changing environment,and strongly support the implementation of the national strategy for ecological protection and high-quality development in the Yellow River Basin.
文摘随着片上系统(System on Chip,SoC)芯片规模与功能复杂度的膨胀,硬件加速器已成为大规模SoC的重要组成部分。为了缩短产品交付时间,有必要开发硬件加速器仿真模型,以在SoC设计初期支撑架构的探索与评估。在对硬件加速器的特点与建模需求进行分析的基础上,提出一种基于AXI验证IP(Verification IP,VIP)、SystemVerilog信箱和旗语的硬件加速器建模方法。该方法支持完备的总线协议特性,同时支持多个处理引擎的并行处理与乱序输出。以实际SoC项目中的通信基带加速器为例,对提出的建模方法进行介绍,并进行相应的系统级仿真与分析。所提出的建模方法可实现对硬件加速器总线行为的高效建模,能够有力支撑SoC验证以及系统架构评估,缩短项目的开发周期。
