A5086054795- Urban Heat Island Mitigation
- Urban Green Space and Health
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Impact of Light on Environment and Health
- Urban Transport and Accessibility
- Noise Effects and Management
- Conservation, Biodiversity, and Resource Management
- Environmental Monitoring and Data Management
- Wildlife-Road Interactions and Conservation
- Soil erosion and sediment transport
- Rangeland Management and Livestock Ecology
- Mining and Resource Management
- Night-time city culture
- Building Energy and Comfort Optimization
- Oceanographic and Atmospheric Processes
- Advanced Computational Techniques and Applications
Zhejiang University
2021-2025
Huazhong University of Science and Technology
2017-2024
Wuhan Engineering Science & Technology Institute
2018
Dalian University of Technology
2014
<title>Abstract</title> Protected areas (PAs) are fundamental cornerstone for global forest conservation, yet human activities have increasingly threatened them in recent years. While mining, a highly destructive but profitable economic activity, is often considered secondary driver loss compared to other activities. Here, we conduct spatiotemporal analysis evaluate the effectiveness of PAs mitigating associated with mining. Our result reveals that from 2000 2020, ~11% (~1486 km<sup>2</sup>)...
In this study, we aim to understand the impact of land use on urban heat island (UHI) effect across an area. Considering case study Wuhan, China, factors and surface temperatures (LSTs) 589 planning management units were quantified in order identify spatial autocorrelation LST, which indicated that a traditional regression would be invalid. By investigating relationships between LST summer, based models including lag model error model, four conclusions derived. First, effectively explains...
Global regression models, such as Ordinary Least Squares, are generally used to explore driving factors of surface urban heat island (SUHI) effects across large cities on a national level, but issues spatial non-stationarity or local variations have rarely been taken into account. Our study quantifies SUHI for 274 in China with MODIS LST products and explores spatially varying relationships between intensity (SUHII) their using geographically weighted (GWR). The results show that GWR models...
Scientifically identifying the territorially ecological restoration zoning is a vital prerequisite for implementing projects and enhancing environmental quality. Based on remote sensing data, we syste-matically assessed supply demand ecosystem service their relationship in Guyuan City, China by using InVEST model, coordination degree spatial autocorrelation analysis. We carried out coupling demand. Furthermore, corresponding optimization strategies were put forward according to regional...