John W. Nowlin Source Confirmed
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Interim Associate Dean/Associate Professor
Arkansas State University
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Biography and Research Information
OverviewAI-generated summary
John W. Nowlin's research focuses on hydrological modeling and water resource management, particularly in the context of agricultural sustainability. He has investigated methods for optimizing irrigation water use through the extension of reservoir histories and the implementation of conjunctive water management strategies in critical groundwater areas of Arkansas. His work also explores the application of remote sensing technologies, such as Small Unmanned Aircraft Systems (sUAS), for generating accurate digital elevation surfaces essential for irrigation and precision grading. Nowlin has also utilized advanced computational techniques, including deep learning models like Long Short-Term Memory (LSTM) networks coupled with wavelet transforms, to improve the accuracy of multilevel groundwater level forecasts. His scholarship metrics include an h-index of 3, with 12 total publications and 31 total citations. He has collaborated with researchers from Arkansas State University and the University of Arkansas for Medical Sciences.
Metrics
- h-index: 3
- Publications: 12
- Citations: 31
Selected Publications
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts (2024) DOI
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach (2024) DOI
- Automated Detection of On-Farm Irrigation Reservoirs in Two Critical Groundwater Regions of Arkansas (2024) DOI
- Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas (2024) DOI
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading (2023) DOI
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts (2023) DOI
- Extending Irrigation Reservoir Histories for Improved Groundwater Modeling and Conjunctive Water Management in Two Arkansas Critical Groundwater Areas (2023) DOI
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