Alessandro Anav
Biographic Data
| ID | 6823347 |
|---|---|
| NAME | Alessandro Anav |
| GIVEN NAMES | Alessandro |
| FAMILY NAME | Anav |
| SIGNATURE | ANAV A |
| AFFILIATIONS | National Agency for New Technologies, Energy and Sustainable Economic Development |
| ORCID | 0000-0002-4217-7563 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The 3–30–300 rule Compliance
Exploring sources of uncertainty in premature mortality estimates from fine particulate matter
Atmospheric pollution from fine particulate matter (PM 2.5 ) is one of the major concerns in China because of its widespread and harmful impacts on human health. In recent years, multiple studies have sought to estimate the premature mortality burden from exposure to PM 2.5 to inform policy decisions. However, different modeling choices have led to a wide array of results, with significant discrepancies both in the total mortality burden and in t…
High spatial resolution ozone risk-assessment for Asian forests
Background tropospheric ozone (O3) is increasing particularly over China and India, and becomes a major threat to Asian forests. By using the coupled WRF-Chem model at high spatial resolution (8 km) over Asia in 2015, we showed that both standards AOT40 (European) and W126 (United States) underestimated the O3 risk to deciduous forests and overestimated it to evergreen forests compared to the biologically based metric POD1. Both metrics AOT40 and…
No prominent works on this page.
Exploring sources of uncertainty in premature mortality estimates from fine particulate matter
Atmospheric pollution from fine particulate matter (PM 2.5 ) is one of the major concerns in China because of its widespread and harmful impacts on human health. In recent years, multiple studies have sought to estimate the premature mortality burden from exposure to PM 2.5 to inform policy decisions. However, different modeling choices have led to a wide array of results, with significant discrepancies both in the total mortality burden and in t…
High spatial resolution ozone risk-assessment for Asian forests
Background tropospheric ozone (O3) is increasing particularly over China and India, and becomes a major threat to Asian forests. By using the coupled WRF-Chem model at high spatial resolution (8 km) over Asia in 2015, we showed that both standards AOT40 (European) and W126 (United States) underestimated the O3 risk to deciduous forests and overestimated it to evergreen forests compared to the biologically based metric POD1. Both metrics AOT40 and…
The 3–30–300 rule Compliance
Biology (3 works) · Ecology (3 works) · Environmental Science (3 works) · Geography (3 works) · Air Quality and Health Impacts (2 works) · Climatology (2 works) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric sciences (1 work)