A5104181708- Quantum chaos and dynamical systems
- Advanced Differential Equations and Dynamical Systems
- Urban Heat Island Mitigation
- Chaos control and synchronization
- Mathematical and Theoretical Epidemiology and Ecology Models
- Hydrological Forecasting Using AI
- Building Energy and Comfort Optimization
- Noise Effects and Management
- Water Quality Monitoring Technologies
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Water Quality Monitoring and Analysis
Shandong University of Science and Technology
2023-2025
Shanghai Normal University
2023-2024
This study represents the first application of Sentinel-2 remote sensing imagery and model fusion techniques to assess chlorophyll-a (Chla) concentration turbidity in Nansi Lake, Shandong Province, China, from 2016 2022. First, we innovatively employed stacking method fuse eight fundamentally different Machine Learning (ML) models, each utilising 20 17 feature bands, resulting development a robust algorithm for estimating Chla Lake. The results demonstrate that Stacking Model has achieved...
As an important factor in urban planning and design, blocks exhibit complex diverse thermal environment characteristics due to the properties of underlayment materials non-uniformity spatial distribution buildings.Previous research has predominantly concentrated on urban-scale its underlying drivers.Yet, there remains a notable inadequacy precise identification core heat island patches critical nodes, scientific rigor applied selecting geographical units methodologies, as well depth...
This study aimed to accurately grasp the impact mechanism and change rule of buildings green spaces on land surface temperature (LST), which is great significance for alleviating urban heat islands (UHIs) formulating adaptation measures. Taking Jinan, China, as area, combined multisource remote sensing data were used in this construct an index system influencing factors. We a spatial regression model explore relative contribution indicators LST. also drew marginal utility curve quantify...
In this paper, we consider the bifurcation of small-amplitude limit cycles near origin in perturbed pendulum systems form $\dot x= y$, y=-\sin(x)+\varepsilon Q(x,y)$, where $Q(x,y)$ is a smooth or piecewise polynomial triple $(\sin(x),\cos(x), y)$ with free coefficients. We obtain sharp upper bound on number positive zeros its associated first order Melnikov function $h=0$ for being and discontinuity at $y=0$, respectively.
In this paper, we consider the bifurcation of small-amplitude limit cycles near origin in perturbed pendulum systems form $\dot x= y$, y=-\sin(x)+\varepsilon Q(x,y)$, where $Q(x,y)$ is a smooth or piecewise polynomial triple $(\sin(x), \cos(x), y)$ with free coefficients. We obtain sharp upper bound on number positive zeros its associated first order Melnikov function $h=0$ for being and discontinuity at $y=0$, respectively.