A5069214381- Flood Risk Assessment and Management
- Climate variability and models
- Hydrology and Drought Analysis
- Geology and Paleoclimatology Research
- Aeolian processes and effects
- Climate change impacts on agriculture
- Remote Sensing and Land Use
- Tropical and Extratropical Cyclones Research
- Coastal and Marine Dynamics
- Geological formations and processes
- Remote Sensing in Agriculture
- Greenhouse Technology and Climate Control
- Toxic Organic Pollutants Impact
- Plant responses to elevated CO2
- Effects and risks of endocrine disrupting chemicals
- Hydrology and Watershed Management Studies
- Climate change and permafrost
- Forest, Soil, and Plant Ecology in China
- Power Systems and Renewable Energy
- Land Use and Ecosystem Services
- Plant Ecology and Soil Science
- Complex Systems and Time Series Analysis
- Agricultural risk and resilience
- Cryospheric studies and observations
- Rice Cultivation and Yield Improvement
China Meteorological Administration
2023-2025
Kyoto University
2021-2022
Ryukoku University
2021
Wuhan University of Technology
2021
National University of Malaysia
2021
Kyoto College of Graduate Studies for Informatics
2021
Northeast Normal University
2015-2018
Beijing Normal University
2006-2009
Gansu Desert Control Research Institute
1999
Chinese Academy of Sciences
1999
Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely used in monitoring changes. In this study, the NASA Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g dataset was as data source, dimidiate pixel model, intensity analysis, residual analysis were to analyze changes of coverage Inner Mongolia—from 1982 2010—and their relationships with climate human activities. This study also explored Mongolia respect natural factors The results showed...
The vegetation index is a key satellite-based variable used to monitor global distribution and growth. However, existing datasets face limitations in achieving both high spatial temporal resolution, restricting their application potential. This study revised machine learning spatiotemporal fusion model (InENVI) produce high-resolution NDVI dataset with 8-day 30 m covering China from 2001 2020. A total of 432,230 Landsat scenes were processed, enhancing data quality accuracy. was validated...
This research is based on the standardized precipitation evapotranspiration index (SPEI) and normalized difference vegetation (NDVI) which represent drought condition land. Take linear regression method Pearson correlation analysis to study spatial temporal evolution of SPEI NDVI effect vegetation. The results show that (1) during 1961–2015, values at different time scales showed a downward trend; SPEI‐12 has mutation in 1997 value significantly decreased after this year. (2) During...
This work was to investigate distribution characteristics, human health risk assessment, and possible sources of 16 priority polycyclic aromatic hydrocarbons (PAHs) in corn surface soils farmlands along main roadside Changchun City, Jilin Province, China. Total concentrations PAHs ranged from 1572.4 4390.2 µg/kg with a mean value 2954.9 219.9 627 362µg/kg corn. Light-molecular-weight (2–3 rings) concentration dominant soils, accounting for 51%, whereas high-molecular-weight (5–6 highest...
Sample series of clean regular‐shaped ice representative thermal interaction processes only were gathered in a controlled experiment on floes China's Bohai Sea. Based these samples, spectral characteristics for one‐year‐old sea measured and analyzed. The same experiments then performed samples with two normal impurities the results compared against those samples. Along increasing thickness, reflectance rises form ladder within visible light range. While flat is covered by thaws snow and/or...
Abstract Risk mitigation policies (like dike rising) are essential to address increasing coastal flood risks due global warming. Furthermore, the optimal level of risk policy should be determined by public preferences for reduction. However, it is difficult reveal reduction because projections inevitably involve uncertainty. This study aims estimate household preference under ambiguity and multiple risks. By coupling storm surge inundation simulations stated experiments with decision models,...
The development path of new energy and storage technology is crucial for achieving carbon neutrality goals. Based on the SWITCH-China model, this study explores in China its impact power system. By simulating multiple scenarios, analyzed installed capacity, structure, spatiotemporal characteristics three types: pumped storage, hydrogen storage. results indicate that capacity will significantly increase under target with system's gradual wind solar proportion. It projected by 2060, China's...
Abstract Even as storm surge risks are increasing, the projections of such have an element ambiguity. Consequently, policymakers find it extremely difficult to design policies deal with risks. Therefore, in this study, we linked tropical cyclone models and stated preference experiments decision provide a fresh perspective on households’ preferences for risk mitigation under We validated choices average worst surges estimated expected loss reduction, premium, ambiguity premium mitigation. Our...