Erin M. Grantz Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Arkansas Water Resources Center
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Erin M. Grantz's research focuses on water quality and environmental monitoring, with recent work investigating factors influencing herbicide persistence in soil and the relationship between chlorophyll fluorescence and cyanobacterial harmful algal blooms (HABs) in recreational lakes. Grantz has published studies on microcystin thresholds in relation to physicochemical properties in Lake Fayetteville, Arkansas, and has examined changes in streamflow statistics and catchment land uses across various USGS gages in Arkansas. Additionally, Grantz's work includes informing volunteer water quality monitoring program design through data analysis in the Upper White River Basin. Grantz has a h-index of 9 with 20 total publications and 335 citations. Key collaborators include Brian E. Haggard, Matthew B. Bertucci, Nilda R. Burgos, and Mary C. Savin, all from the University of Arkansas at Fayetteville.
Metrics
- h-index: 9
- Publications: 20
- Citations: 337
Selected Publications
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Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions (2024)
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Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study (2023)
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Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas (2023)
Collaboration Network
Top Collaborators
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas
- Changes in Streamflow Statistics and Catchment Land Uses Across Select USGS Gages in Northwest and West‐central Arkansas
- S-metolachlor persistence in soil as influenced by within-season and inter-annual herbicide use
- S -Metolachlor Persistence in Soil as Influenced by Within-Season and Inter-Annual Herbicide Use
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- S-metolachlor persistence in soil as influenced by within-season and inter-annual herbicide use
- S -Metolachlor Persistence in Soil as Influenced by Within-Season and Inter-Annual Herbicide Use
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- S-metolachlor persistence in soil as influenced by within-season and inter-annual herbicide use
- S -Metolachlor Persistence in Soil as Influenced by Within-Season and Inter-Annual Herbicide Use
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- S-metolachlor persistence in soil as influenced by within-season and inter-annual herbicide use
- S -Metolachlor Persistence in Soil as Influenced by Within-Season and Inter-Annual Herbicide Use
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- S-metolachlor persistence in soil as influenced by within-season and inter-annual herbicide use
- S -Metolachlor Persistence in Soil as Influenced by Within-Season and Inter-Annual Herbicide Use
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- S-metolachlor persistence in soil as influenced by within-season and inter-annual herbicide use
- S -Metolachlor Persistence in Soil as Influenced by Within-Season and Inter-Annual Herbicide Use
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
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