A5100719254- Landslides and related hazards
- Flood Risk Assessment and Management
- Fire effects on ecosystems
- Geotechnical Engineering and Analysis
- Tree Root and Stability Studies
- Cryospheric studies and observations
- Hydrology and Watershed Management Studies
- Groundwater and Watershed Analysis
- Soil erosion and sediment transport
- Dam Engineering and Safety
- Remote Sensing and Land Use
- Hydrology and Sediment Transport Processes
- Hydrology and Drought Analysis
- Coal Properties and Utilization
- Drilling and Well Engineering
- Soil and Unsaturated Flow
- Geoscience and Mining Technology
- Rock Mechanics and Modeling
- Hydrological Forecasting Using AI
- Geomechanics and Mining Engineering
- Advanced Measurement and Detection Methods
- Tunneling and Rock Mechanics
- Hydrocarbon exploration and reservoir analysis
- Medical Image Segmentation Techniques
- Oil and Gas Production Techniques
Xi'an University of Science and Technology
2016-2025
Heilongjiang University
2024
University of Nottingham Ningbo China
2024
Shanghai University of Electric Power
2023
Shandong University of Science and Technology
2017-2023
Shanghai Institute of Technology
2023
Chongqing University of Arts and Sciences
2023
Liaoning Technical University
2023
Land Consolidation and Rehabilitation Center
2023
Institute of Modern Physics
2022-2023
The aim of this research was to evaluate the predictive performances frequency ratio (FR), logistic regression (LR) and weight evidence (WoE), in flood susceptibility mapping China. In addition, ensemble WoE LR FR techniques were applied used evaluation. inventory map, consisting 196 locations, extracted from a number sources. data randomly divided into testing data-set, allocating 70% for training, remaining 30% validation. 15 conditioning factors included spatial database altitude, slope,...
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, can cause social upheaval loss of life. As a result, many scientists study the phenomenon, some them have focused on producing landslide susceptibility maps that be used by land-use managers to reduce injury damage. This paper contributes this effort comparing power effectiveness five machine learning, benchmark algorithms—Logistic Model Tree, Logistic Regression, Naïve Bayes Artificial Neural...
This study presents three new hybrid artificial intelligence optimization models—namely, adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and invasive weed (ANFIS-IWO) algorithms—for flood susceptibility mapping (FSM) in the Haraz watershed, Iran. Ten continuous categorical conditioning factors were chosen based on 201 locations, including topographic wetness index (TWI), river density, stream power (SPI), curvature, distance from river, lithology,...
The main objective of the study was to evaluate and compare overall performance three methods, frequency ratio (FR), certainty factor (CF) index entropy (IOE), for rainfall-induced landslide susceptibility mapping at Chongren area (China) using geographic information system remote sensing. First, a inventory map constructed from field surveys interpretations aerial photographs. Second, 15 landslide-related factors such as elevation, slope, aspect, plan curvature, profile stream power index,...
The main purpose of this paper is to explore some potential applications sophisticated machine learning techniques such as the kernel logistic regression, Naïve-Bayes tree and alternating decision models for landslide susceptibility analysis at Taibai county (China). Initially, a inventory map containing information 212 historical locations was prepared. Seventy percentage (148) landslides were randomly selected training remaining used validation. Additionally, 12 conditioning factors...
The landslide hazard occurred in Taibai County has the characteristics of typical landslides mountain hinterland. slopes mainly consist residual sediments and locate along highway. Most them are less stable state high risk during rainfall flood season especially. main purpose this paper is to produce susceptibility maps for (China). In first stage, a inventory map input layers conditioning factors were prepared geographic information system supported by field investigations remote sensing...