A5023692269- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Land Use and Ecosystem Services
- COVID-19 epidemiological studies
- Air Quality and Health Impacts
- Demographic Trends and Gender Preferences
- Soil Moisture and Remote Sensing
- Impact of Light on Environment and Health
- Soil Geostatistics and Mapping
- Climate Change and Health Impacts
- Environmental Changes in China
- Climate variability and models
- Complex Network Analysis Techniques
- Remote Sensing and Land Use
- Electrocatalysts for Energy Conversion
- Data-Driven Disease Surveillance
- Air Quality Monitoring and Forecasting
- Climate change and permafrost
- COVID-19 Pandemic Impacts
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Software Testing and Debugging Techniques
- Plant Water Relations and Carbon Dynamics
- Advanced battery technologies research
- Regional Economic and Spatial Analysis
Chinese Academy of Sciences
2015-2024
Institute of Geographic Sciences and Natural Resources Research
2015-2024
University of Southampton
2024
Jiangxi Normal University
2023-2024
University of Chinese Academy of Sciences
2010-2024
China University of Mining and Technology
2024
Shanghai Jiao Tong University
2023
Massachusetts Institute of Technology
2020-2023
Bridge University
2023
Hainan University
2021-2022
Abstract Reproducible climate reconstructions of the Common Era (1 CE to present) are key placing industrial-era warming into context natural climatic variability. Here we present a community-sourced database temperature-sensitive proxy records from PAGES2k initiative. The gathers 692 648 locations, including all continental regions and major ocean basins. trees, ice, sediment, corals, speleothems, documentary evidence, other archives. They range in length 50 2000 years, with median 547...
The COVID-19 pandemic has created unprecedented burdens on people's physical health and subjective well-being. While countries worldwide have developed platforms to track the evolution of infections deaths, frequent global measurements affective states gauge emotional impacts related policy interventions remain scarce. Using 654 million geotagged social media posts in over 100 countries, covering 74% world population, coupled with state-of-the-art natural language processing techniques, we...
Abstract Non-pharmaceutical interventions (NPIs) and vaccination are two fundamental approaches for mitigating the coronavirus disease 2019 (COVID-19) pandemic. However, real-world impact of NPIs versus vaccination, or a combination both, on COVID-19 remains uncertain. To address this, we built Bayesian inference model to assess changing effect reducing transmission, based large-scale dataset including epidemiological parameters, virus variants, vaccines, climate factors in Europe from...
Abstract Land surface evapotranspiration (ET) is an important component of the energy budget and water cycle. To solve problem spatial‐scale mismatch between in situ observations remotely sensed ET, it necessary to find most appropriate upscaling approach for acquiring ground truth ET data at satellite pixel scale. Based on a set from two flux observation matrices middle stream downstream Heihe River Basin, six methods were intercompared via direct validation cross validation. The results...
Linkages between climate and human activity are often calibrated at daily or monthly resolutions, which lacks the granularity to observe intraday adaptation behaviors. Ignoring this margin could mischaracterize health consequences of future change. Here, we construct an hourly outdoor leisure database using billions cell phone location requests in 10,499 parks 2017 all over China investigate within-day rhythm. We find that temperatures above 30 °C 35 depress activities by 5% (95% confidence...
Land use is of great importance for urban planning, environmental monitoring, and transportation management. Several methods have been proposed to obtain land maps areas, these can be classified into two categories: remote sensing social methods. However, approaches specific disadvantages regarding the description physical features, respectively. Therefore, an appropriate fusion strategy vital large-area mapping. To address this issue, we propose efficient mapping method that combines...
Understanding how the impacts of climate change are likely to modify individual well-being in future is crucial for developing mitigation and adaptation strategies. Despite its importance, little known about day-to-day weather on subjective nations. To fill this gap, we use over 400 million geotagged posts across 43 users from social media Weibo China, coupled with meteorological conditions people face when posting, estimate climatic factors influence people's real-time expressed sentiment....
Fine-grained inner-annual population data are instrumental in climate change response, resource allocation, and epidemic control. However, such currently scarce due to the lack of human-related indicators with both high temporal resolution long-term coverage that can be used process spatialization. Here, we estimate monthly 1-km gridded distribution across China 2015 using time-series mobile phone positioning data. We construct a hybrid downscaling model map by incorporating random forest...
Regionalization in the Yangtze River Delta, China, from perspective of inter-city daily mobility. Regional Studies. This paper applies a community detection algorithm to Delta's (YRD) mobility network produce an interaction-based regionalization, and then explores processes underlying this regional (re-)production by comparing it with attribute-based regionalization. The results show that political boundaries historical patterns socio-economic integration are strikingly visible, effects...
Soil moisture (SM) plays an important role in the land surface energy balance and water cycle. Microwave remote sensing has been applied widely to estimate SM. However, application of such data is generally restricted because their coarse spatial resolution. Downscaling methods have predict fine-resolution SM from original with Commonly, highly spatially variable and, consequently, local heterogeneity should be considered a downscaling process. Here, hybrid geostatistical approach, which...
Ultrathin cation-exchanged layered metal oxides are promising for many applications, while such substances barely successfully synthesized to show several atomic layer thickness, owing the strong electrostatic force between adjacent layers. Herein, we took LiCoO2, a prototype oxide, as an example study. By developing simple synthetic route, LiCoO2 nanosheets with 5-6 cobalt oxide layers, which thinnest ever reported. thus prepared showed surprising coexistence of increased oxidation state...
Abstract This paper examines the determinants of spatial and topological structure three types urban networks within Yangtze River Delta. These consist transport infrastructure links, business interactions in producer services firms, leisure mobility. The influence distance, size, administrative borders, landform contiguity, cultural affinities, economic alliances rank are examined. We position our findings as an empirical elaboration formation multiplex networks. Our results show that spite...