A5074718515- Climate variability and models
- Meteorological Phenomena and Simulations
- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Environmental and Agricultural Sciences
- Traffic control and management
- Precipitation Measurement and Analysis
- Safety Warnings and Signage
- Environmental Changes in China
- Evaluation Methods in Various Fields
- Simulation and Modeling Applications
- Human-Automation Interaction and Safety
- Hydrological Forecasting Using AI
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Transportation Planning and Optimization
- Cryospheric studies and observations
- Urban Transport and Accessibility
- Infrastructure Maintenance and Monitoring
- Urban Green Space and Health
- Wildlife-Road Interactions and Conservation
- Hydrology and Drought Analysis
- Advanced Decision-Making Techniques
- Occupational Health and Safety Research
- Heavy Metal Exposure and Toxicity
Hohai University
2013-2023
Hubei University
2022
Hong Kong Metropolitan University
2022
Xi'an Academy of Fine Arts
2022
Xiamen University
2021
Shaanxi University of Technology
2021
The University of Melbourne
2019
10X Genomics (United States)
2016
Changsha University of Science and Technology
2015
PEN American Center
2009
Abstract Precipitation variations mostly affect the water resource planning in semi-arid regions of northwest China. The objective this study is to quantitatively explore spatial and temporal precipitation different time scales Xi'an city area. Mann–Kendall test wavelet analysis methods were applied analyze variability. In terms variation precipitation, results indicated that annual exhibited a significant decreasing trend during 1951–2018. Except for summer representing slightly increasing...
Abstract. Accurate and reliable subseasonal precipitation forecasts are of great socioeconomic value for various aspects. The atmospheric intraseasonal oscillation (ISO), which is one the leading sources predictability, can potentially be used as predictor forecasts. However, relationship between signals high uncertainty. In this study, we develop a spatiotemporal-projection-based Bayesian hierarchical model (STP-BHM) coupled covariance patterns preceding extracted, corresponding projection...
Warning signs are effective only when users clearly understand their meaning. Three experiments were conducted in this study. In the first, perception accuracy of warning was tested. This study investigated role age, gender, education background, and years license drivers' comprehension signs. The populations sampled from Nanjing city China. A total 12 symbolic investigated. questionnaire prepared to collect data distributed 550 drivers. results showed that driving have no significant...
Abstract. In this study, we develop a spatial–temporal projection-based calibration, bridging, and merging (STP-CBaM) method to improve probabilistic sub-seasonal precipitation forecast skill over 17 hydroclimatic regions in China. The calibration model is established by post-processing ECMWF raw forecasts using the Bayesian joint probability (BJP) approach. bridging models are built large-scale atmospheric intraseasonal predictors, including zonal wind at 200 hPa (U200) 850 (U850); an...
Provincial highway safety is one of the most important issues in transportation. To evaluate or assess performance provincial highway, traffic crash analysis conflict has been used for a long history. However, it very difficult and time-consuming to obtain historical data data. This study analyzes highways' accident during 2006–2010, characteristics have investigated; addition influencing elements are identified. A comprehensive approach introduced corresponding models developed considering...
Abstract Management of water resources may benefit from seasonal precipitation forecasts, but for obtaining high enough resolution, dynamical downscaling is necessary. This study investigated the capability Weather Research and Forecasting (WRF) Model ARW, version 3.5, on forecasts Hanjiang basin in China during 2001–09, which was source middle route South-to-North Water Diversion Project (SNWDP). The WRF forced by National Centers Environmental Prediction Operational Climate Forecast...
Anomalous characteristics of the atmospheric water cycle structure are highly significant to mechanisms seasonal-scale meteorological droughts. They also play an important role in identification indicative predictors To better understand causes seasonal droughts middle and lower reaches Yangtze River (MLRYR), at different drought stages were determined using standardized anomalies. The results showed that total column vapor (TCWV) was anomalously low during occurrence periods. In contrast,...
Abstract. Accurate and reliable sub-seasonal precipitation forecasts remain challenging. The atmospheric intraseasonal oscillation (ISO), which is one of the leading sources predictability, could be potentially used as predictors for forecasts.. However, relationships between ISO signals are high uncertainty. In this study, we first define potential by analyzing relationship preceding 17 hydroclimatic regions over China during boreal summer monsoon season. Least Absolute Shrinkage Selection...
Traffic guide signs are effective only when they clearly recognized by drivers. Three experiments were conducted in this study. In the first, influence factors of sign recognition studied. This study investigated 11 main with a convenience sample drivers from Nanjing city China. Weights different obtained through analytic hierarchy process (AHP). The results showed that setting position, occlusion degree, and character size had most significant on recognition, while other less important....
Skillful sub-seasonal precipitation forecasts can provide valuable information for both flood and drought disaster mitigations. This study evaluates deterministic probabilistic of ECMWF, ECCC, UKMO models derived from the Sub-seasonal to Seasonal (S2S) Database at various spatiotemporal scales over China during boreal summer monsoon. The Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2), is used as reference dataset evaluate forecast skills models. results suggest that...
Abstract Accurate drought prediction is important for resistance and water resources management. However, the seasonal of low accuracy both dynamical statistical models. In this study, we combined models machine learning to construct hybrid (dynamical-statistical) We used random forest approach identify representative regions based on geopotential height, sea-level pressure, 2-m temperature. The least absolute shrinkage selection operator (Lasso an artificial neural network (ANN) were...
This paper analyzed the red running behaviors at urban signalized intersection. It includes unintentional light that is easy to arouse sympathy of traffic managers other than intentional behavior driver should be punished. Based on analysis phase change interval, existence dilemma zone regarded as an important factor, which causes violation for drivers. The computing formula about relevant time and length are also analyzed. In sight research, consideration a minimum enforcement tolerance...
To make freeway safety facilities function well, field survey is carried out to evaluate the maintenance quality of facilities. In traditional models, same weight values are assigned while evaluating without considering functional differences different The paper develops evaluation procedure and model procedure, facility damage in main index get scores for each kind facility. purpose convert an overall measure, this result can reveal segment. order build confirm calculated facility,...
Arterial signal coordinated control system and transit priority strategy are widely used for decreasing delay improving the level of service in urban areas, therefore, (TSP) optimization under arterial condition needs to be focused on traffic efficiency. This paper develops an method regarding TSP scenarios considering passenger schedule adherence simultaneously, a passenger-based MAXBAND graphic is proposed generate plan. Consequently, test segment Nanjing (in China) simulated by VISSIM...
To study drivers' driving behaviour in dilemma zones at signalized intersections, intersections are taken as the research objects. Based on analyzing characteristics of motor vehicles. And collect behavior parameters video observations and road field observations, take these factors which influence decision, conduct significance analysis with SPSS(Statistical Product Service Solutions) for significant influencing factors, then input value BP(Back Propagation) neural network model, BP model...
Road traffic accidents have become a major public hazard for all mankind. Therefore, the study of is always an important subject to scholars over world. A road safety evaluation effective way identify potential and reduce accident severity. At present, methods foreign include rate relative accidents, time series analysis, regression systems conflicts. Based on analysis large number statistics, these qualitatively analyze factors affecting use mathematical theories establish quantitative...
Highway green landscape is an important part of the highway systems. Now freeway and multi-lane have been concerned, but two-lane has not researched. Through analyzing function greening, this paper summarizes a research project that was to develop evaluation models for evaluation. The main indices considered are soil stability enhancement capability in slope embankment area, environmental ecologic protection roadside area. In addition, scenic view quality another factor. purpose convert...
Transit signal priority strategy has a positive effect on improving traffic efficiency and level of service in the urban area. This paper focuses transit (TSP) optimization regarding capacity drop lane-changing areas. A passenger-based TSP method for minimizing total passenger delay at basic unit (defined as intersection upstream bus stop) is developed, calculated based VISSIM-based simulation platform. Then, performance proposed model decreasing an experimental segment along Longpan...