Manzhu Yu
Datos Biográficos
| ID | 6746463 |
|---|---|
| NOMBRE | Manzhu Yu |
| NOMBRES | Manzhu |
| APELLIDO | Yu |
| FIRMA | YU M |
| AFILIACIONES | Pennsylvania State University |
| ORCID | 0000-0001-6769-7517 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2015 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Bridging prediction with planning
Quantifying Wildfire Heavy-Dense Smoke’s Persistent Effects on PM 2.5 Speciation across U.S. Regions
Wildfire smoke substantially degrades air quality by increasing total PM2.5 concentrations and altering their chemical speciation. Although existing research has documented PM2.5 during active fires, the spatiotemporal persistence of these pollutants across U.S. regions remains insufficiently quantified. Leveraging quasi-experimental variation arising from 2007 to 2023 wildfire smoke events, we employ difference-in-differences (DID) and event stu…
Digital Twins
Digital twin (DT) emerges as a frontier for integrating research, development, innovation, and problem‐solving through digital technologies. DT enables analyses and solutions to real‐world problems by leveraging advanced observation data from sources of in situ (monitoring stations), citizen sensing, and satellites. DT seeks to best replicate real‐world problems and conduct “what‐if” analyses for optimum solutions. Data fusion technologies are em…
Socioeconomic and sociodemographic correlations to Covid-19 variability in the United States in 2020
The COVID-19 pandemic provided an additional spotlight on the longstanding socioeconomic/health impacts of redlining and has added to the myriad of environmental justice issues, which has caused significant loss of life, health, and productive work. The Centers for Disease Control and Prevention (CDC) reports that a person with any selected underlying health conditions is more likely to experience severe COVID-19 symptoms, with more than 81% of C…
A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification–An Example of Dust Events
Natural phenomena are intrinsically spatiotemporal and often highly dynamic. The increasing availability of simulation and observation datasets has provided us a great opportunity to better capture and understand the complexity and dynamics of natural phenomena. Challenges are posed by the formalization of the representation of such phenomena in terms of their non-rigid boundaries and the quantification of event dynamics over space and time. The …
Space-Time Patterns, Change, and Propagation of Covid-19 Risk Relative to the Intervention Scenarios in Bangladesh
The novel coronavirus (COVID-19) pandemic continues to be a significant public health threat worldwide, particularly in densely populated countries such as Bangladesh with inadequate health care facilities. While early detection and isolation were identified as important non-pharmaceutical intervention (NPI) measures for containing the disease spread, this may not have been pragmatically implementable in developing countries due to social and eco…
Visualizing spatiotemporal trajectories of mobile social media users using space–time cube
The implementation of social network applications on mobile platforms has significantly elevated the activity of mobile social networking. Mobile social networking offers a channel for recording an individual’s spatiotemporal behaviors when location-detecting capabilities of devices are enabled. It also facilitates the study of time geography on an individual level, which has previously suffered from a scarcity of georeferenced movement data. In …
Visualizing spatiotemporal trajectories of mobile social media users using space–time cube
The implementation of social network applications on mobile platforms has significantly elevated the activity of mobile social networking. Mobile social networking offers a channel for recording an individual’s spatiotemporal behaviors when location-detecting capabilities of devices are enabled. It also facilitates the study of time geography on an individual level, which has previously suffered from a scarcity of georeferenced movement data. In …
Visualizing spatiotemporal trajectories of mobile social media users using space–time cube
The implementation of social network applications on mobile platforms has significantly elevated the activity of mobile social networking. Mobile social networking offers a channel for recording an individual’s spatiotemporal behaviors when location-detecting capabilities of devices are enabled. It also facilitates the study of time geography on an individual level, which has previously suffered from a scarcity of georeferenced movement data. In …
A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification–An Example of Dust Events
Natural phenomena are intrinsically spatiotemporal and often highly dynamic. The increasing availability of simulation and observation datasets has provided us a great opportunity to better capture and understand the complexity and dynamics of natural phenomena. Challenges are posed by the formalization of the representation of such phenomena in terms of their non-rigid boundaries and the quantification of event dynamics over space and time. The …
Space-Time Patterns, Change, and Propagation of Covid-19 Risk Relative to the Intervention Scenarios in Bangladesh
The novel coronavirus (COVID-19) pandemic continues to be a significant public health threat worldwide, particularly in densely populated countries such as Bangladesh with inadequate health care facilities. While early detection and isolation were identified as important non-pharmaceutical intervention (NPI) measures for containing the disease spread, this may not have been pragmatically implementable in developing countries due to social and eco…
Socioeconomic and sociodemographic correlations to Covid-19 variability in the United States in 2020
The COVID-19 pandemic provided an additional spotlight on the longstanding socioeconomic/health impacts of redlining and has added to the myriad of environmental justice issues, which has caused significant loss of life, health, and productive work. The Centers for Disease Control and Prevention (CDC) reports that a person with any selected underlying health conditions is more likely to experience severe COVID-19 symptoms, with more than 81% of C…
Digital Twins
Digital twin (DT) emerges as a frontier for integrating research, development, innovation, and problem‐solving through digital technologies. DT enables analyses and solutions to real‐world problems by leveraging advanced observation data from sources of in situ (monitoring stations), citizen sensing, and satellites. DT seeks to best replicate real‐world problems and conduct “what‐if” analyses for optimum solutions. Data fusion technologies are em…
Bridging prediction with planning
Quantifying Wildfire Heavy-Dense Smoke’s Persistent Effects on PM 2.5 Speciation across U.S. Regions
Wildfire smoke substantially degrades air quality by increasing total PM2.5 concentrations and altering their chemical speciation. Although existing research has documented PM2.5 during active fires, the spatiotemporal persistence of these pollutants across U.S. regions remains insufficiently quantified. Leveraging quasi-experimental variation arising from 2007 to 2023 wildfire smoke events, we employ difference-in-differences (DID) and event stu…
Geography (4 obras) · Air Quality and Health Impacts (3 obras) · Computer Science (2 obras) · COVID-19 epidemiological studies (2 obras) · Data mining (2 obras) · Demography (2 obras) · Disease (2 obras) · Environmental health (2 obras) · Geographic Information Systems Studies (2 obras) · Human Mobility and Location-Based Analysis (2 obras)