Alfonso Mejia
Biographic Data
| ID | 6019904 |
|---|---|
| NAME | Alfonso Mejia |
| GIVEN NAMES | Alfonso |
| FAMILY NAME | Mejia |
| SIGNATURE | MEJÍA A |
| AFFILIATIONS | Pennsylvania State University |
| ORCID | 0000-0003-3891-1822 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Groundwater and trade
Estimating effects of monsoon flooding on household water access
The importance of climate in water resources management is well recognized, but less is known about how climate affects water access at the household level. Understanding this is crucial for identifying vulnerable households, reducing health and well-being risks, and finding equitable solutions. Using difference-in-differences regression analyses and relying on temporal variation in interview timing from multiple, cross-sectional surveys, we exam…
Virtual nitrogen and virtual water transfers embedded in food trade networks across the US
Understanding environmental impacts through embedded resource accounting tools, such as footprints, allows scholars to connect resource demands to consumption choices. To date, considerably less attention has been paid to tracking the flow of goods, particularly at a sub-national level, to relate consumption patterns to the origin where nitrogen pollution may be occurring. We present and analyze the virtual N networks alongside virtual water netw…
Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach
Subseasonal-to-seasonal (S2S) water quantity and quality forecasts are needed to support decision and policy making in multiple sectors, e.g. hydropower, agriculture, water supply, and flood control. Traditionally, S2S climate forecasts for hydroclimatic variables (e.g. precipitation) have been characterized by low predictability. Since recent next-generation S2S climate forecasts are generated using improved capabilities (e.g. model physics, ass…
The U.S. food–energy–water system
Physicians and Nurse Migration
No prominent works on this page.
Physicians and Nurse Migration
Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach
Subseasonal-to-seasonal (S2S) water quantity and quality forecasts are needed to support decision and policy making in multiple sectors, e.g. hydropower, agriculture, water supply, and flood control. Traditionally, S2S climate forecasts for hydroclimatic variables (e.g. precipitation) have been characterized by low predictability. Since recent next-generation S2S climate forecasts are generated using improved capabilities (e.g. model physics, ass…
The U.S. food–energy–water system
Virtual nitrogen and virtual water transfers embedded in food trade networks across the US
Understanding environmental impacts through embedded resource accounting tools, such as footprints, allows scholars to connect resource demands to consumption choices. To date, considerably less attention has been paid to tracking the flow of goods, particularly at a sub-national level, to relate consumption patterns to the origin where nitrogen pollution may be occurring. We present and analyze the virtual N networks alongside virtual water netw…
Estimating effects of monsoon flooding on household water access
The importance of climate in water resources management is well recognized, but less is known about how climate affects water access at the household level. Understanding this is crucial for identifying vulnerable households, reducing health and well-being risks, and finding equitable solutions. Using difference-in-differences regression analyses and relying on temporal variation in interview timing from multiple, cross-sectional surveys, we exam…
Groundwater and trade
Environmental Science (5 works) · Ecology (4 works) · Geography (4 works) · Water-Energy-Food Nexus Studies (4 works) · Business (3 works) · Economics (3 works) · Engineering (3 works) · Meteorology (3 works) · Agriculture Sustainability and Environmental Impact (2 works) · Computer Science (2 works)