A5100411025- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Land Use and Ecosystem Services
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Tree-ring climate responses
- Conservation, Biodiversity, and Resource Management
- Soil erosion and sediment transport
- Hydraulic Fracturing and Reservoir Analysis
- Environmental Changes in China
- Remote Sensing in Agriculture
- Environmental Quality and Pollution
- Pleistocene-Era Hominins and Archaeology
- Mycorrhizal Fungi and Plant Interactions
- Disaster Management and Resilience
- Climate change impacts on agriculture
- Plant responses to water stress
- Water Quality Monitoring and Analysis
- Water-Energy-Food Nexus Studies
- Forest Insect Ecology and Management
- CO2 Sequestration and Geologic Interactions
- Meteorological Phenomena and Simulations
Northwest A&F University
2022-2025
Institute of Forest Ecology, Environment and Protection
2019-2025
Chinese Academy of Forestry
2019-2025
Education Northwest
2025
National University of Singapore
2025
Hohai University
2013-2024
Yangzhou University
2007-2024
Tianjin University
2022-2024
Shandong University of Political Science and Law
2024
China Geological Survey
2024
The Yangtze River Delta (YRD) is one of the most developed regions in China. This also a flood-prone area where flood disasters are frequently experienced; situations between people–land nexus and people–water very complicated. Therefore, accurate assessment risk great significance to regional development. paper took YRD urban agglomeration as research case. driving force, pressure, state, impact response (DPSIR) conceptual framework was established analyze indexes disasters. random forest...
Abstract The quantification of climate change impacts on hydrology is subjected to multiple uncertainty sources. Large ensembles hydrological simulations based multimodel (MMEs) have been commonly applied represent overall impacts. However, as increasing numbers global models (GCMs) are being developed, how many GCMs in MMEs sufficient characterize not clear. Therefore, this study investigates the influences GCM quantity quantifying and contributions sources obtained through permutation 3...
Abstract Compound dry and hot events (CDHEs) have increased significantly caused agricultural losses adverse impacts on human health. It is thus critical to investigate changes in CDHEs population exposure responding climate change. Based the simulations of Coupled Model Intercomparison Project Phase 6 (CMIP6), future are estimated under four Shared Socioeconomic Pathways scenarios (SSPs) at first. And then driving forces behind these analyzed discussed. The results show that occurrence...
Abstract Global warming has intensified the intensity of compound drought‐hot extremes (CDHEs), posing more severe impacts on human societies and ecosystems than individual extremes. The vulnerability global terrestrial under CDHEs, along with its key influencing factors, remains poorly understood. Based multiple remote sensing data, we construct a Vine Copula model to appraise vegetation attribute it climatic biotic factors for five different types. High is detected in central southern...
Understanding and improving public flood risk perception is conducive to the implementation of effective management disaster reduction policies. In flood-prone city Jingdezhen, one most destructive natural hazards impact society economy. However, few studies have been attempted focus on in small medium-size China, like Jingdezhen. Therefore, purpose this study was investigate four districts Jingdezhen examine related influencing factors. A questionnaire survey 719 randomly sampled...
Precipitation is a critical input for hydrologic simulation and prediction, widely used agriculture, water resources management, prediction of flood drought, among other activities. Traditional precipitation researches often established one or more probability models historical data based on the statistical methods machine learning techniques. However, few studies have been attempted deep such as state-of-the-art Recurrent Neural Networks (RNNs) networks in meteorological sequence time...
Abstract Precipitation or dissolution due to geochemical reactions has been observed in the caprocks for CO 2 geosequestration. Geochemical modify caprock sealing efficiency with self‐limiting self‐enhancement. However, effect of this modification on not fully investigated through multiphysical‐geochemical coupling analysis. In study, a model was proposed analyze efficiency. This considered full couplings deformation, two‐phase flow, concentration diffusion, reaction, and sorption. The flow...
Extreme precipitation events usually lead to economic, agricultural, and social losses globally. The bias of different global circulation models (GCMs) is a major challenge in the projection extreme climate regions. Revealing Coupled Model Intercomparison Project (CMIP) GCMs helpful for providing reference predicting understanding performance CMIP Phase 6 (CMIP6) GCMs. Eight indices were used describe based on daily data retrieved from Global Precipitation Climatology (GPCP) 19 CMIP6 Six...
Drivers of urban flood disaster risk may be related to many factors from nature and society. However, it is unclear how these affect each other they ultimately the risk. From perspective uncertainty, inundation considered probability consequences under influence various factors. In this paper, assessment model established based on Bayesian network, then key disaster-causing chains are explored through strength analysis. Jingdezhen City selected as study area, where calculated, paths...
Abstract Inefficient utilization puts the productivity of cultivated land in a low development state. The key challenge for efficient is to clarify how various factors affect spatial differentiation pattern (CLP), improve food production. However, evaluating impact intensity and direction CLP on large‐scale difficulty there gap knowledge. In this study, we used net primary (NPP) calculate reveal its differentiation. Also, study examined spatio‐temporal heterogeneity determined effect...
Bark beetles and their associated fungi, which cause forest decline sometimes high mortality in large areas around the world, are of increasing concern terms health. Three Tomicus spp. (T.brevipilosus, T.minor T.yunnanensis) infect branches trunks Pinusyunnanensis P.kesiya Yunnan Province, south-western China. well known as vectors ophiostomatoid fungi co-occurrence could result serious ecological economic impact on local ecosystems. Nonetheless, knowledge about diversity, ecology, including...