Hydrological process factors are a reflection of the physical mechanism of basin hydrology,which can provide important basis for the use and protection of water resources.Taking Heihe River Mountain Basin as the study...Hydrological process factors are a reflection of the physical mechanism of basin hydrology,which can provide important basis for the use and protection of water resources.Taking Heihe River Mountain Basin as the study area,the hydrological simulation was made based on SWAT-GIS integrated model platform.The calculation methods of hydrological process factors using SWAT model were described based on the simulation results of runoff from 1990 to 2000.Hydrological process factors in the study area were analyzed by using GIS technology.The spatial and temporal characteristics of precipitation,runoff,infiltration,evapotranspiration and snowmelt in the basin were calculated and analyzed.展开更多
The uplift of the Qinghai-Tibet Plateau(TP)strongly influences climate change,both regionally and globally.Surface observation data from this region have limited coverage and are difficult to obtain.Consequently,the v...The uplift of the Qinghai-Tibet Plateau(TP)strongly influences climate change,both regionally and globally.Surface observation data from this region have limited coverage and are difficult to obtain.Consequently,the vertical crustal deformation velocity(VCDV)distribution of the TP is poorly constrained.In this study,the VCDV from the TP was inverted by using data from the gravity recovery and climate experiment(GRACE).We were able to obtain the vertical crustal movement by deducting the hydrological factors,based on the assumption that the gravity signal detected by GRACE is mainly composed of hydrological factors and vertical crustal movement.From the vertical crustal movement,we inverted the distribution of the VCDV across the TP.The results showed that the VCDV of the southern,eastern,and northern TP is~1.1 mm/a,~0.5 mm/a,and−0.1 mm/a,respectively,whereas that of the region between the Qilian Haiyuan Fault and the Kunlun Fault is~0.0 mm/a.These results are consistent with the distribution of crustal deformation,thrust earthquakes and faults,and regional lithospheric activity.The hydrology,crustal thickness,and topographic factors did not change the overall distribution of the VCDV across the TP.The influence of hydrological factors is marked,with the maximum differences being approximately−0.4 mm/a in the northwest and 1.0 mm/a in the central area.The results of this study are significant for understanding the kinematics of the TP.展开更多
Coastal wetlands are important blue carbon ecosystems that play a significant role in the global carbon cycle.However,there is insufficient understanding of the variations in soil organic carbon(SOC)stocks and the mec...Coastal wetlands are important blue carbon ecosystems that play a significant role in the global carbon cycle.However,there is insufficient understanding of the variations in soil organic carbon(SOC)stocks and the mechanisms driving these ecosystems.Here we analyze a comprehensive multi-source dataset of SOC in topsoil(0e20 cm)and subsoil(20e100 cm)across 31 coastal wetlands in China to identify the factors influencing their distribution.Structural equation models(SEMs)reveal that hydrology has the greatest overall effect on SOC in both soil layers,followed by vegetation,soil properties,and climate.Notably,the mechanisms driving SOC density differ between the two layers.In topsoil,vegetation type and productivity directly impact carbon density as primary sources of carbon input,while hydrology,primarily through seawater salinity,exerts the largest indirect influence.Conversely,in subsoil,hydrology has the strongest direct effect on SOC,with seawater salinity also influencing SOC indirectly through soil and vegetation mediation.Soil properties,particularly pH,negatively affect carbon accumulation,while climate influences SOC indirectly via its effects on vegetation and soil,with a diminishing impact at greater depths.Using Random Forest,we generate high-resolution maps(90 m90 m)of topsoil and subsoil carbon density(R2 of 0.53 and 0.62,respectively),providing the most detailed spatial distribution of SOC in Chinese coastal wetlands to date.Based on these maps,we estimate that SOC storage to a depth of 1 m in Chinese coastal wetlands totals 74.58±3.85 Tg C,with subsoil carbon storage being 2.5 times greater than that in topsoil.These findings provide important insights into mechanism on driving spatial pattern of blue carbon and effective ways to assess carbon status on a national scale,thus contributing to the advancement of global blue carbon monitoring and management.展开更多
基金Supported by National Natural Science Foundation of China(40972207)National S&T Major Project(2009ZX05039-004)~~
文摘Hydrological process factors are a reflection of the physical mechanism of basin hydrology,which can provide important basis for the use and protection of water resources.Taking Heihe River Mountain Basin as the study area,the hydrological simulation was made based on SWAT-GIS integrated model platform.The calculation methods of hydrological process factors using SWAT model were described based on the simulation results of runoff from 1990 to 2000.Hydrological process factors in the study area were analyzed by using GIS technology.The spatial and temporal characteristics of precipitation,runoff,infiltration,evapotranspiration and snowmelt in the basin were calculated and analyzed.
基金supported by the State Key Laboratory of Geodesy and Earth’s Dynamics(Grant No.SKLGED2022-5-2)the Innovation Academy for Precision Measurement Science and Technology,the National Natural Science Foundation of China(Grant Nos.41304013,41967038)+1 种基金the Natural Science Foundation of Guangdong Province(Grant No.2021A1515011487)the Guangdong University of Petrochemical Technology Talent Recruitment(No.520130).
文摘The uplift of the Qinghai-Tibet Plateau(TP)strongly influences climate change,both regionally and globally.Surface observation data from this region have limited coverage and are difficult to obtain.Consequently,the vertical crustal deformation velocity(VCDV)distribution of the TP is poorly constrained.In this study,the VCDV from the TP was inverted by using data from the gravity recovery and climate experiment(GRACE).We were able to obtain the vertical crustal movement by deducting the hydrological factors,based on the assumption that the gravity signal detected by GRACE is mainly composed of hydrological factors and vertical crustal movement.From the vertical crustal movement,we inverted the distribution of the VCDV across the TP.The results showed that the VCDV of the southern,eastern,and northern TP is~1.1 mm/a,~0.5 mm/a,and−0.1 mm/a,respectively,whereas that of the region between the Qilian Haiyuan Fault and the Kunlun Fault is~0.0 mm/a.These results are consistent with the distribution of crustal deformation,thrust earthquakes and faults,and regional lithospheric activity.The hydrology,crustal thickness,and topographic factors did not change the overall distribution of the VCDV across the TP.The influence of hydrological factors is marked,with the maximum differences being approximately−0.4 mm/a in the northwest and 1.0 mm/a in the central area.The results of this study are significant for understanding the kinematics of the TP.
基金supported by the National Key Research and Development Program Plan(Grant No.2022YFC3800802)the Special Fund of Jiangsu Province Carbon Peak and Carbon Neutral Technology Innovation(Grant No.BK20220037)+1 种基金Fundamental Research Funds for the Central Universities(Grant No.0209-14380115)grant from State Key Laboratory of Resources and Environmental Information System.
文摘Coastal wetlands are important blue carbon ecosystems that play a significant role in the global carbon cycle.However,there is insufficient understanding of the variations in soil organic carbon(SOC)stocks and the mechanisms driving these ecosystems.Here we analyze a comprehensive multi-source dataset of SOC in topsoil(0e20 cm)and subsoil(20e100 cm)across 31 coastal wetlands in China to identify the factors influencing their distribution.Structural equation models(SEMs)reveal that hydrology has the greatest overall effect on SOC in both soil layers,followed by vegetation,soil properties,and climate.Notably,the mechanisms driving SOC density differ between the two layers.In topsoil,vegetation type and productivity directly impact carbon density as primary sources of carbon input,while hydrology,primarily through seawater salinity,exerts the largest indirect influence.Conversely,in subsoil,hydrology has the strongest direct effect on SOC,with seawater salinity also influencing SOC indirectly through soil and vegetation mediation.Soil properties,particularly pH,negatively affect carbon accumulation,while climate influences SOC indirectly via its effects on vegetation and soil,with a diminishing impact at greater depths.Using Random Forest,we generate high-resolution maps(90 m90 m)of topsoil and subsoil carbon density(R2 of 0.53 and 0.62,respectively),providing the most detailed spatial distribution of SOC in Chinese coastal wetlands to date.Based on these maps,we estimate that SOC storage to a depth of 1 m in Chinese coastal wetlands totals 74.58±3.85 Tg C,with subsoil carbon storage being 2.5 times greater than that in topsoil.These findings provide important insights into mechanism on driving spatial pattern of blue carbon and effective ways to assess carbon status on a national scale,thus contributing to the advancement of global blue carbon monitoring and management.
