J
John W. Nowlin Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Interim Associate Dean/Associate Professor
faculty
4 h-index
13 pubs
35 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
John W. Nowlin's research centers on optimizing water resource management, particularly focusing on conjunctive water use for irrigation and groundwater sustainability in Arkansas. His work investigates methods to improve the quantity of recharge water into sedimentary aquifers, employing simulation-optimization approaches. Nowlin also studies the extension of irrigation reservoir histories to enhance groundwater modeling and management strategies in critical groundwater areas within Arkansas.
His research also incorporates advanced technologies for agricultural applications. This includes the use of Small Unmanned Aircraft Systems (sUAS) for generating digital elevation surfaces for irrigation and precision grading, and the application of deep learning models, such as Long Short-Term Memory (LSTM) networks coupled with wavelet transforms, for improving multilevel groundwater level forecasts. Nowlin has also worked on the automated detection of on-farm irrigation reservoirs. His scholarship metrics include an h-index of 4, with 13 total publications and 33 citations.
Metrics
- h-index: 4
- Publications: 13
- Citations: 35
Selected Publications
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Surface Water Storage and Subsurface Recharge in Declining Portions of the Mississippi River Valley Alluvial Aquifer (2026)
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A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts (2024)
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Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach (2024)
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Automated Detection of On-Farm Irrigation Reservoirs in Two Critical Groundwater Regions of Arkansas (2024)
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Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas (2024)
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Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading (2023)
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A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts (2023)
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Extending Irrigation Reservoir Histories for Improved Groundwater Modeling and Conjunctive Water Management in Two Arkansas Critical Groundwater Areas (2023)
Collaboration Network
Top Collaborators
Michele L. Reba
Delta Water Management Research Unit (US)
8 shared publications
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- Extending Irrigation Reservoir Histories for Improved Groundwater Modeling and Conjunctive Water Management in Two Arkansas Critical Groundwater Areas
Showing 5 of 8 shared publications
Ahmed A. Hashem
University of Arkansas System
4 shared publications
In database
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts
Deborah L. Leslie
University of Memphis (US)
4 shared publications
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts
- Surface Water Storage and Subsurface Recharge in Declining Portions of the Mississippi River Valley Alluvial Aquifer
J.H. Massey
Delta Water Management Research Unit (US)
4 shared publications
- Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
- Automated Detection of On-Farm Irrigation Reservoirs in Two Critical Groundwater Regions of Arkansas
- Surface Water Storage and Subsurface Recharge in Declining Portions of the Mississippi River Valley Alluvial Aquifer
Daniel D. Shults
Arkansas State University
3 shared publications
In database
- Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas
- Extending Irrigation Reservoir Histories for Improved Groundwater Modeling and Conjunctive Water Management in Two Arkansas Critical Groundwater Areas
- Automated Detection of On-Farm Irrigation Reservoirs in Two Critical Groundwater Regions of Arkansas
Dilip Kumar Roy
Bangladesh Agricultural Research Institute (BD)
3 shared publications
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts
Quentin D. Read
Agricultural Research Service (US)
2 shared publications
- Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas
- Extending Irrigation Reservoir Histories for Improved Groundwater Modeling and Conjunctive Water Management in Two Arkansas Critical Groundwater Areas
Joe B. Massey
Agricultural Research Service (US)
1 shared publication
- Extending Irrigation Reservoir Histories for Improved Groundwater Modeling and Conjunctive Water Management in Two Arkansas Critical Groundwater Areas
R. A. Pickett
Arkansas State University
1 shared publication
In database
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
Scott Alsbrook
University of Arkansas for Medical Sciences
1 shared publication
In database
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
Emily S. Bellis
Arkansas State University
1 shared publication
In database
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
Mohammad Wasim Iqbal
Arkansas State University (US)
1 shared publication
- Surface Water Storage and Subsurface Recharge in Declining Portions of the Mississippi River Valley Alluvial Aquifer
Christopher Delhom
Agricultural Research Service (US)
1 shared publication
- Surface Water Storage and Subsurface Recharge in Declining Portions of the Mississippi River Valley Alluvial Aquifer
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