A5057419736- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Geological formations and processes
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Hydrological Forecasting Using AI
- Atmospheric and Environmental Gas Dynamics
- Coastal and Marine Management
- Geographic Information Systems Studies
- Social Capital and Networks
- Coastal and Marine Dynamics
- Cryospheric studies and observations
- Environmental and Agricultural Sciences
- Coastal wetland ecosystem dynamics
- Data Management and Algorithms
- Social Media and Politics
- Aquatic and Environmental Studies
- Peatlands and Wetlands Ecology
- Meteorological Phenomena and Simulations
- Geology and Paleoclimatology Research
- Nonprofit Sector and Volunteering
- Groundwater flow and contamination studies
- Semantic Web and Ontologies
- Water Resources and Management
Google (United States)
2024
Nanjing Agricultural University
2024
University of California, Berkeley
2017-2022
Jilin Meteorological Bureau
2010
Wetland CH4 emissions are among the most uncertain components of global budget. The complex nature wetland processes makes it challenging to identify causal relationships for improving our understanding and predictability emissions. In this study, we used flux measurements from eddy covariance towers (30 sites 4 wetlands types: bog, fen, marsh, wet tundra) construct a causality-constrained machine learning (ML) framework explain regulative factors capture at sub-seasonal scale. We found that...
Abstract Land-use and land-cover change significantly modify local land-surface characteristics water/energy exchanges, which can lead to atmospheric circulation regional climate changes. In particular, deforestation accounts for a large portion of global land-use changes, transforms forests into other land cover types, such as croplands grazing lands. Many previous efforts have focused on observing modeling land–atmosphere–water/energy fluxes investigate land–atmosphere coupling induced by...
Abstract Streamflow forecasts often perform poorly because of improper representation hydrologic response timescales in underlying models. Here, we use transfer entropy (TE), which measures information flow between variables, to identify dominant drivers discharge and their using sensor data from the Dry Creek Experimental Watershed, ID, USA. Consistent with previous mechanistic studies, TE revealed that snowpack accumulation partitioning into melt, recharge, evaporative loss dominated...
Abstract Coastal river deltas are complex and dynamic ecosystems where vegetation plays an essential role in influencing, as well being influenced by, physical processes, creating ecogeomorphic feedbacks between canopy characteristics topography. However, this feedback is poorly understood. This knowledge gap due to difficulties detecting quantifying the interactions that define feedback. Emerging technology data analysis techniques like transfer entropy have made it possible overcome former...
Abstract This study theoretically evaluated and empirically tested the peer effect of residents' volunteering behaviour in a Chinese scenario using data from 2019 China Comprehensive Social Situation Survey (CSS). The found that had significant effect, with every unit increase activities other residents community enhancing probability participation by 21.0% to 30.0%. results were still valid even after location, province dummy variables, instrumental variables determine reflexivity...
Abstract Water availability has historically been one of the most significant threats to African regional social and economic well‐being. Over Sahel region, a megadrought during 1960s 1970s induced by an abrupt substantial rainfall reduction caused widespread famine death. The postdrought recovery, which is still ongoing, characterized gradual increases in rainfall, but with dramatic fluctuations. large negative human impacts, slow variability raise important questions why how dynamics...