Dongyang Han
Biographic Data
| ID | 7313433 |
|---|---|
| NAME | Dongyang Han |
| GIVEN NAMES | Dongyang |
| FAMILY NAME | Han |
| SIGNATURE | HAN D |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-1767-1316 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Rhodiola crenulata extract inhibits cell pyroptosis to ameliorate pulmonary vascular remodeling in rats through the regulation of decadienylcarnitine/NLRP3/GSDMD axis
Spatiotemporal differentiation and trade-off/synergy relationships of ecosystem service values in a national park pilot area in China
The scientific evaluation of the ecosystem service value (ESV) of national parks and understanding the trade-offs and synergies between different ecosystem services (ESs) are crucial for advancing the establishment of China’s national park system. However, current research on ESs in national parks is mostly focused on the value assessment of certain types of services. The analysis of their impacts under specific socioeconomic conditions remains v…
Quantifying the impact of dams on global streamflow over the period of 1985–2014
The number of dams globally has increased dramatically over the past few decades, providing reliable water resources by regulating natural streamflow. However, assessing the impact of dams on natural streamflow at a large scale remains a challenge due to lack of dam storage variation data. Here we analyzed flow regulation by dams from 1985 to 2014 over 153 basins globally using satellite remote sensing data. Two-thirds of global basins are regula…
An attention-based LSTM model for long-term runoff forecasting and factor recognition
With advances in artificial intelligence, machine learning-based models such as long short-term memory (LSTM) models have shown much promise in forecasting long-term runoff by mapping pathways between large-scale climate patterns and catchment runoff responses without considering physical processes. The recognition of key factors plays a vital role and thus affects the performance of the model. However, there is no conclusion on which recognition…
Temporal and Spatial Variation of Aboveground Biomass of Pinus densata and Its Drivers in Shangri-La, CHINA
Understanding the drivers of forest aboveground biomass (AGB) is essential to further understanding the forest carbon cycle. In the upper Yangtze River region, where ecosystems are incredibly fragile, the driving factors that make AGB changes differ from other regions. This study aims to investigate AGB's spatial and temporal variation of Pinus densata in Shangri-La and decompose the direct and indirect effects of spatial attribute, climate, stan…
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Temporal and Spatial Variation of Aboveground Biomass of Pinus densata and Its Drivers in Shangri-La, CHINA
Understanding the drivers of forest aboveground biomass (AGB) is essential to further understanding the forest carbon cycle. In the upper Yangtze River region, where ecosystems are incredibly fragile, the driving factors that make AGB changes differ from other regions. This study aims to investigate AGB's spatial and temporal variation of Pinus densata in Shangri-La and decompose the direct and indirect effects of spatial attribute, climate, stan…
An attention-based LSTM model for long-term runoff forecasting and factor recognition
With advances in artificial intelligence, machine learning-based models such as long short-term memory (LSTM) models have shown much promise in forecasting long-term runoff by mapping pathways between large-scale climate patterns and catchment runoff responses without considering physical processes. The recognition of key factors plays a vital role and thus affects the performance of the model. However, there is no conclusion on which recognition…
Quantifying the impact of dams on global streamflow over the period of 1985–2014
The number of dams globally has increased dramatically over the past few decades, providing reliable water resources by regulating natural streamflow. However, assessing the impact of dams on natural streamflow at a large scale remains a challenge due to lack of dam storage variation data. Here we analyzed flow regulation by dams from 1985 to 2014 over 153 basins globally using satellite remote sensing data. Two-thirds of global basins are regula…
Spatiotemporal differentiation and trade-off/synergy relationships of ecosystem service values in a national park pilot area in China
The scientific evaluation of the ecosystem service value (ESV) of national parks and understanding the trade-offs and synergies between different ecosystem services (ESs) are crucial for advancing the establishment of China’s national park system. However, current research on ESs in national parks is mostly focused on the value assessment of certain types of services. The analysis of their impacts under specific socioeconomic conditions remains v…
Rhodiola crenulata extract inhibits cell pyroptosis to ameliorate pulmonary vascular remodeling in rats through the regulation of decadienylcarnitine/NLRP3/GSDMD axis
Environmental Science (3 works) · Geography (3 works) · Biology (2 works) · Ecology (2 works) · Flood Risk Assessment and Management (2 works) · Geology (2 works) · Hydrology and Watershed Management Studies (2 works) · Land Use and Ecosystem Services (2 works) · Apoptosis (1 work) · Archaeology (1 work)