A5006314698- Land Use and Ecosystem Services
- Soil Geostatistics and Mapping
- Hydrology and Watershed Management Studies
- Geochemistry and Geologic Mapping
- Heavy metals in environment
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- earthquake and tectonic studies
- Wildlife-Road Interactions and Conservation
- Wildlife Ecology and Conservation
- Conservation, Biodiversity, and Resource Management
- Flood Risk Assessment and Management
- Climate change impacts on agriculture
- Soil and Water Nutrient Dynamics
- Wastewater Treatment and Nitrogen Removal
- Seismology and Earthquake Studies
- Economic and Environmental Valuation
- High-pressure geophysics and materials
- Fish Ecology and Management Studies
- Microbial Community Ecology and Physiology
- Water resources management and optimization
- Remote Sensing in Agriculture
- Hydrological Forecasting Using AI
First Affiliated Hospital Zhejiang University
2025
National Taiwan University
2015-2024
Shenzhen Bao'an District People's Hospital
2024
Industrial Technology Research Institute
2022-2023
Anhui University of Science and Technology
2023
Sixth Affiliated Hospital of Sun Yat-sen University
2021
Sun Yat-sen University
2021
National Yunlin University of Science and Technology
2019
Harvard University
2019
University of Southern California
2017
Blockchain technology, while still challenged with key limitations, is a transformative Information and Communications Technology (ICT) that has changed our notion of trust. Improved efficiencies for agricultural sustainable development been demonstrated when ICT-enabled farms have access to knowledge banks other digital resources. UN FAO-recommended ICT e-agricultural infrastructure components are confluence blockchain technology requirements. When systems immutable distributed ledger...
The objective of this study is to compare the abilities logistic, auto-logistic and artificial neural network (ANN) models for quantifying relationships between land uses their drivers. In addition, application results obtained by three techniques tested in a dynamic land-use change model (CLUE-s) Paochiao watershed region Taiwan. Relative operating characteristic curves (ROCs), kappa statistics, multiple resolution validation landscape metrics were used assess ability estimating...
Research on digital economy (DE) and carbon environment governance (CEG) holds paramount importance in attaining sustainable development objectives. By focusing 30 provinces within China as specific instances, this research constructed a comprehensive evaluation framework to assess the overall progress of DE CEG from 2011 2020. Moreover, it employed coupling coordination model alongside spatio-temporal evolution patterns examine state (CCD) temporal spatial features DE-CEG. First, levels...
Model evaluation metrics play a critical role in the selection of adequate species distribution models for conservation and any application modelling (SDM) general. The responses these to conditions, however, are rarely taken into account. This leads inadequate model selection, downstream analyses uniformed decisions. To aid modellers critically assessing conditions when choosing interpreting metrics, we analysed True Skill Statistic (TSS) under variety presence-background using purely...
Predicting the effect of climate change on rice yield is crucial as global food demand rapidly increases with human population. This study combined simulated daily weather data (MarkSim) and CERES-Rice crop model from Decision Support System for Agrotechnology Transfer (DSSAT) software to predict production three planting seasons under four scenarios (RCPs 2.6, 4.5, 6.0, 8.5) years 2021 2050 in Keduang subwatershed, Wonogiri Regency, Central Java, Indonesia. The was calibrated validated...
Abstract This study develops a novel approach for modelling and examining the impacts of time–space land‐use changes on hydrological components. The uses an empirical change allocation model (CLUE‐s) distributed (DHSVM) to examine various scenarios in Wu‐Tu watershed northern Taiwan. also generalized likelihood uncertainty estimation quantify parameter model. results indicate that policies—such as no change, dynamic simultaneous change—have different levels impact simulating spatial...
Concentrations of four heavy metals (Cr, Cu, Ni, and Zn) were measured at 1,082 sampling sites in Changhua county central Taiwan. A hazard zone is defined the study as a place where content each metal exceeds corresponding control standard. This examines use spatial analysis for identifying multiple soil pollution hotspots area. In preliminary investigation, kernel density estimation (KDE) was technique used hotspot from set observed occurrences hazards. addition, estimates hazardous...
Assessments may underestimate the annual global water scarcity, driven by seasonal availability and consumption distribution heterogeneity[...]
Real-time identification of irrigation water pollution sources and pathways (PSP) is crucial to ensure both environmental food safety. This study uses an integrated framework based on the Internet Things (IoT) blockchain technology that incorporates a directed acyclic graph (DAG)-configured wireless sensor network (WSN), GIS tools for real-time source tracing. Water quality sensors were installed at monitoring stations in channel systems within area. Irrigation data delivered databases via...