Fubao Sun
Datos Biográficos
| ID | 7992894 |
|---|---|
| NOMBRE | Fubao Sun |
| NOMBRES | Fubao |
| APELLIDO | Sun |
| FIRMA | SUN F |
| AFILIACIONES | Chinese Academy of Sciences |
| ORCID | 0000-0002-7439-8272 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 9 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 9 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Reconciling natural habitat size loss and quality enhancement
Amid accelerating urbanization and severe biodiversity loss in global drylands, reconciling urbanization with habitat conservation is crucial for sustainable development. Focused on China’s Loess Plateau (LP), a typical arid to semi-arid region, this study quantified the dual effects of urbanization on both the size and quality of natural habitats (NHs) from 1990 to 2050 by multi-scenario land cover simulations with the system dynamics PLUS model…
Mapping and assessing drought losses in China
China’s carbon neutrality policy facilitates halving industrial water withdrawal
China concurrently confronts acute water resource challenges and substantial carbon emissions, with its industrial sector being a significant freshwater consumer and a primary carbon emitter. China has committed to achieving carbon neutrality (CN) by 2060, yet the exact impact of this goal on industrial water withdrawal (IWW) remains unclear. Here, we project IWW in China considering both scenarios with and without the CN target, based on industr…
The heterogeneity of human flood adaptation characteristics in Central Asia based on human-flood distance
The Central Asian region is subject to frequent seasonal floods, resulting in substantial losses. These recurrent floods have induced certain changes in human flood adaptation characteristics in Central Asia, an area that is currently under-researched. This study, grounded in meticulously simulated flood inundation outcomes, multisource population distribution data, and flood protection infrastructure data, introduces an improved approach to calc…
Wind resource droughts in China
With the rising share of wind energy in power generation, the occurrence of low-wind-power events (termed ‘wind resource droughts’) are becoming critical in understanding the national electricity supply and the security of power systems. We use hourly wind speed data (2428 meteorological stations; in the years 2010–2020) to analyze the occurrence of wind resource droughts in seven onshore wind energy planning regions over China. We find that wind…
Effects of cryospheric hydrological processes on future flood inundation and the subsequent socioeconomic exposures in Central Asia
Floods and their subsequent socioeconomic exposures are increasing in most parts of the world due to global warming. However, less attention is given in the arid Central Asia (CA), in which floods usually occur in data-scarce high-mountainous regions with complex cryospheric hydrological processes (CHP). In this study, an improved hydrologic-hydrodynamic model coupled with a glacier mass balance module was developed to enhance flood simulations i…
Increasing population exposure to global warm-season concurrent dry and hot extremes under different warming levels
Projecting future changes in concurrent dry and hot extremes (CDHEs) and the subsequent socio-economic risks (e.g. population exposure) is critical for climate adaptation and water management under different warming targets. However, to date, this aspect remains poorly understood on both global and regional scales. In this study, the changes in future CDHEs and their population exposures under 1.5 °C, 2 °C, and 3 °C warming were quantified using …
Shifting biomass allocation determines community water use efficiency under climate warming
Understanding how net primary production (NPP) and its allocation respond to climate warming is of fundamental importance in predicting ecosystem carbon (C) cycle and C-climate feedback. Especially, the optimal partitioning theory suggests that plants preferentially allocate photosynthates toward the above- or below-ground parts to acquire the limiting resources to maximize their growth rate and optimize resource use under environmental change. H…
Evaluation and machine learning improvement of global hydrological model-based flood simulations
A warmer climate is expected to accelerate global hydrological cycle, causing more intense precipitation and floods. Despite recent progress in global flood risk assessment, the accuracy and improvement of global hydrological models (GHMs)-based flood simulation is insufficient for most applications. Here we compared flood simulations from five GHMs under the Inter-Sectoral Impact Model Intercomparison Project 2a (ISIMIP2a) protocol, against thos…
Sin obras prominentes en esta página.
Evaluation and machine learning improvement of global hydrological model-based flood simulations
A warmer climate is expected to accelerate global hydrological cycle, causing more intense precipitation and floods. Despite recent progress in global flood risk assessment, the accuracy and improvement of global hydrological models (GHMs)-based flood simulation is insufficient for most applications. Here we compared flood simulations from five GHMs under the Inter-Sectoral Impact Model Intercomparison Project 2a (ISIMIP2a) protocol, against thos…
Shifting biomass allocation determines community water use efficiency under climate warming
Understanding how net primary production (NPP) and its allocation respond to climate warming is of fundamental importance in predicting ecosystem carbon (C) cycle and C-climate feedback. Especially, the optimal partitioning theory suggests that plants preferentially allocate photosynthates toward the above- or below-ground parts to acquire the limiting resources to maximize their growth rate and optimize resource use under environmental change. H…
Increasing population exposure to global warm-season concurrent dry and hot extremes under different warming levels
Projecting future changes in concurrent dry and hot extremes (CDHEs) and the subsequent socio-economic risks (e.g. population exposure) is critical for climate adaptation and water management under different warming targets. However, to date, this aspect remains poorly understood on both global and regional scales. In this study, the changes in future CDHEs and their population exposures under 1.5 °C, 2 °C, and 3 °C warming were quantified using …
Effects of cryospheric hydrological processes on future flood inundation and the subsequent socioeconomic exposures in Central Asia
Floods and their subsequent socioeconomic exposures are increasing in most parts of the world due to global warming. However, less attention is given in the arid Central Asia (CA), in which floods usually occur in data-scarce high-mountainous regions with complex cryospheric hydrological processes (CHP). In this study, an improved hydrologic-hydrodynamic model coupled with a glacier mass balance module was developed to enhance flood simulations i…
Wind resource droughts in China
With the rising share of wind energy in power generation, the occurrence of low-wind-power events (termed ‘wind resource droughts’) are becoming critical in understanding the national electricity supply and the security of power systems. We use hourly wind speed data (2428 meteorological stations; in the years 2010–2020) to analyze the occurrence of wind resource droughts in seven onshore wind energy planning regions over China. We find that wind…
Mapping and assessing drought losses in China
China’s carbon neutrality policy facilitates halving industrial water withdrawal
China concurrently confronts acute water resource challenges and substantial carbon emissions, with its industrial sector being a significant freshwater consumer and a primary carbon emitter. China has committed to achieving carbon neutrality (CN) by 2060, yet the exact impact of this goal on industrial water withdrawal (IWW) remains unclear. Here, we project IWW in China considering both scenarios with and without the CN target, based on industr…
The heterogeneity of human flood adaptation characteristics in Central Asia based on human-flood distance
The Central Asian region is subject to frequent seasonal floods, resulting in substantial losses. These recurrent floods have induced certain changes in human flood adaptation characteristics in Central Asia, an area that is currently under-researched. This study, grounded in meticulously simulated flood inundation outcomes, multisource population distribution data, and flood protection infrastructure data, introduces an improved approach to calc…
Reconciling natural habitat size loss and quality enhancement
Amid accelerating urbanization and severe biodiversity loss in global drylands, reconciling urbanization with habitat conservation is crucial for sustainable development. Focused on China’s Loess Plateau (LP), a typical arid to semi-arid region, this study quantified the dual effects of urbanization on both the size and quality of natural habitats (NHs) from 1990 to 2050 by multi-scenario land cover simulations with the system dynamics PLUS model…
Environmental Science (8 obras) · Climatology (5 obras) · Geography (5 obras) · China (4 obras) · Climate change (4 obras) · Geology (4 obras) · Biology (3 obras) · Climate model (3 obras) · Ecology (3 obras) · Flood myth (3 obras)