Shrutilipi Bhattacharjee
Biographic Data
| ID | 7998253 |
|---|---|
| NAME | Shrutilipi Bhattacharjee |
| GIVEN NAMES | Shrutilipi |
| FAMILY NAME | Bhattacharjee |
| SIGNATURE | BHATTACHARJEE S |
| AFFILIATIONS | Technical University of Munich |
| ORCID | 0000-0002-6288-0942 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Gsi
The growth of COVID-19, caused by the SARS-CoV-2 virus, has turned into an unprecedented pandemic in the last century. It is crucial to identify superspreading nodes to prevent the pandemic’s progress. Most available superspreader identification techniques consider only a single or few network metrics related to the complex network’s topological structure. Furthermore, it is more challenging to determine influential spreaders from heterogeneous s…
Anthropogenic CO 2 emissions assessment of Nile Delta using XCO 2 and SIF data from OCO-2 satellite
We estimate CO 2 emissions from the Nile Delta region of Egypt, using over five years of column-averaged CO 2 dry air mole fraction (XCO 2 ) data from the NASA's OCO-2 satellite. The Nile Delta has significant anthropogenic emissions of CO 2 from urban areas and irrigated farming. It is surrounded by the Sahara desert and the Mediterranean Sea, minimizing the confounding influence of CO 2 sources in surrounding areas. We compiled the observed spa…
No prominent works on this page.
Anthropogenic CO 2 emissions assessment of Nile Delta using XCO 2 and SIF data from OCO-2 satellite
We estimate CO 2 emissions from the Nile Delta region of Egypt, using over five years of column-averaged CO 2 dry air mole fraction (XCO 2 ) data from the NASA's OCO-2 satellite. The Nile Delta has significant anthropogenic emissions of CO 2 from urban areas and irrigated farming. It is surrounded by the Sahara desert and the Mediterranean Sea, minimizing the confounding influence of CO 2 sources in surrounding areas. We compiled the observed spa…
Gsi
The growth of COVID-19, caused by the SARS-CoV-2 virus, has turned into an unprecedented pandemic in the last century. It is crucial to identify superspreading nodes to prevent the pandemic’s progress. Most available superspreader identification techniques consider only a single or few network metrics related to the complex network’s topological structure. Furthermore, it is more challenging to determine influential spreaders from heterogeneous s…
Geography (2 works) · Agriculture (1 works) · Atmospheric and Environmental Gas Dynamics (1 works) · Atmospheric Ozone and Climate (1 works) · Atmospheric sciences (1 works) · Betweenness centrality (1 works) · Biology (1 works) · Cartography (1 works) · Centrality (1 works) · Climatology (1 works)