Artículo pre-print
https://hdl.handle.net/20.500.12542/154
2024-03-29T15:34:06ZRainfall Erosivity in Peru: A New Gridded Dataset Based on GPMIMERG and Comprehensive Assessment (2000–2020)
https://hdl.handle.net/20.500.12542/2964
Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPMIMERG and Comprehensive Assessment (2000–2020)
Gutierrez, Leonardo; Huerta, Adrian; Sabino, Evelin; Bourrel, Luc; Frappart, Frederic; Lavado-Casimiro, W.
In soil erosion estimation models, the variable with the greatest impact is rainfall erosivity (RE), which is the measurement of precipitation energy and its potential capacity to cause erosion, and erosivity density (ED), which relates RE to precipitation. The RE requires high temporal resolution records for its estimation. However, due to the limited observed information and the increasing availability of rainfall estimates based on remote sensing, recent research has shown the usefulness of using observed-corrected satellite data for RE estimation. This study evaluates the performance of a new gridded dataset of RE and ED in Peru (PISCO_reed) by merging data from the IMERG v06 product, through a new calibration approach with hourly records of automatic weather stations, during the period of 2000-2020. By using this method, a correlation of 0.7 was found between the PISCO_reed and RE obtained by the observed data. An average annual RE for Peru of 4831 M Jmmha−1h −1 was estimated with a general increase towards the lowland Amazon regions and high values are found on the north-coast Pacific area of Peru. The spatial identification of the most risk areas of erosion, was carried out through a relationship between the ED and rainfall. Both erosivity data sets will allow us to expand our fundamental understanding and quantify soil erosion with greater precision.
2023-01-01T00:00:00ZAssociation Between Air Pollution in Lima and the High Incidence of COVID-19: Findings from a Post Hoc Analysis
https://hdl.handle.net/20.500.12542/818
Association Between Air Pollution in Lima and the High Incidence of COVID-19: Findings from a Post Hoc Analysis
Vasquez-Apestegui, Vanessa; Parras-Garrido, Enrique; Tapia, Vilma; Paz-Aparicio, Valeria M.; Rojas Quincho, Jhojan Pool; Sánchez-Ccoyllo, Odón R.; Gonzales, Gustavo F.
Until June 12, 2020, there were 6,308 deaths and 220,749 SARS-CoV-2 positive cases in Peru. In Lima, the
total number of COVID-19 deaths in all metropolitan areas was 2,382. The case-fatality rate at the national level was 2.58% and 1.93% in Lima. Higher PM2.5 levels are associated with higher number of cases and deaths of COVID-19. The case-fatality rate (Deaths/cases*100) did not increase with the increase in PM2.5 levels. A higher number of food markets was associated with higher incidence and mortality of COVID-19 (p < 0.01 for both); these associations persisted when cases (r = 0.49; p < 0.01) and
deaths (r = 0.58; p < 0.01) were adjusted by the population density. The association of PM2.5 with cases of COVID-19 was maintained after controlling analysis by age, sex and number of food markers.
2020-07-01T00:00:00Z