Madeline E Schreiber
Biographic Data
| ID | 1573552 |
|---|---|
| NAME | Madeline E Schreiber |
| GIVEN NAMES | Madeline E |
| FAMILY NAME | Schreiber |
| SIGNATURE | SCHREIBER M E |
| AFFILIATIONS | Virginia Tech |
| ORCID | 0000-0002-1858-7730 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
Phytoplankton blooms create harmful toxins, scums, and taste and odor compounds and thus pose a major risk to drinking water safety. Climate and land use change are increasing the frequency and severity of blooms, motivating the development of new approaches for preemptive, rather than reactive, water management. While several real-time phytoplankton forecasts have been developed to date, none are both automated and quantify uncertainty in their …
Evaluating determinants of social trust in water utilities
Grupper, M. A., M. G. Sorice, M. J. Stern, and M. E. Schreiber. 2021. Evaluating determinants of social trust in water utilities: implications for building resilient water systems. Ecology and Society 26(4):41. https://doi.org/10.5751/ES-12833-260441
Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
We investigated if geologic factors are linked to elevated arsenic (As) concentrations above 5 μg/L in well water in the state of Virginia, USA. Using geologic unit data mapped within GIS and two datasets of measured As concentrations in well water (one from public wells, the other from private wells), we evaluated occurrences of elevated As (above 5 μg/L) based on geologic unit. We also constructed a logistic regression model to examine statisti…
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
Phytoplankton blooms create harmful toxins, scums, and taste and odor compounds and thus pose a major risk to drinking water safety. Climate and land use change are increasing the frequency and severity of blooms, motivating the development of new approaches for preemptive, rather than reactive, water management. While several real-time phytoplankton forecasts have been developed to date, none are both automated and quantify uncertainty in their …
Evaluating determinants of social trust in water utilities
Grupper, M. A., M. G. Sorice, M. J. Stern, and M. E. Schreiber. 2021. Evaluating determinants of social trust in water utilities: implications for building resilient water systems. Ecology and Society 26(4):41. https://doi.org/10.5751/ES-12833-260441
Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
We investigated if geologic factors are linked to elevated arsenic (As) concentrations above 5 μg/L in well water in the state of Virginia, USA. Using geologic unit data mapped within GIS and two datasets of measured As concentrations in well water (one from public wells, the other from private wells), we evaluated occurrences of elevated As (above 5 μg/L) based on geologic unit. We also constructed a logistic regression model to examine statisti…
Evaluating determinants of social trust in water utilities
Grupper, M. A., M. G. Sorice, M. J. Stern, and M. E. Schreiber. 2021. Evaluating determinants of social trust in water utilities: implications for building resilient water systems. Ecology and Society 26(4):41. https://doi.org/10.5751/ES-12833-260441
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
Phytoplankton blooms create harmful toxins, scums, and taste and odor compounds and thus pose a major risk to drinking water safety. Climate and land use change are increasing the frequency and severity of blooms, motivating the development of new approaches for preemptive, rather than reactive, water management. While several real-time phytoplankton forecasts have been developed to date, none are both automated and quantify uncertainty in their …
Ecology (2 works) · Environmental resource management (2 works) · Environmental Science (2 works) · Adaptive Management (1 work) · Algal bloom (1 work) · Aquatic Ecosystems and Phytoplankton Dynamics (1 work) · Archaeology (1 work) · Arsenic contamination and mitigation (1 work) · Biology (1 work) · Business (1 work)