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SUMMARY:Freshwater Colloquium: Data-Efficient Stream Nutrient Modeling: An Application of Data-driven Sparse Sensing
DESCRIPTION:Wasif Bin Mamoon will present “Data-Efficient Stream Nutrient Modeling: An Application of Data-driven Sparse Sensing” as part of the School of Freshwater Sciences Spring Colloquium.\nWasif Bin Mamoon is a PhD candidate in Environmental and Water Resources specialization at Marquette University in Milwaukee\, WI. His research focuses on analyzing stream nutrient (Nitrogen and Phosphorus) dynamics and modeling stream nutrients. He received his BSc and MSc in Water Resources Engineering from Bangladesh University of Engineering and Technology (BUET)\, in 2019 and 2022\, respectively. Previously\, he was a research assistant at the Institute of Water and Flood Management in Bangladesh\, responsible for assessing the impacts of climate change and applying hydrologic and hydraulic models at the watershed scale. \n\nRegular estimation or monitoring of nutrient (i.e.\, nitrogen or phosphorus) concentrations and loads is necessary for assessing stream health and evaluating nutrient pollution mitigation programs. The state of science concludes that at least daily monitoring is necessary. However\, current nutrient monitoring programs involve either infrequent grab samples or costly\, maintenance-intensive in-situ sensors\, resulting in low sampling frequencies and high uncertainties. To address this\, improved stream nutrient monitoring and modeling methods are needed. Data-driven Sparse Sensing (DSS) offers an efficient solution by reliably estimating high-frequency time series from fewer samples\, leading to more efficient sampling designs. This study applies the DSS technique to estimate stream nutrient concentrations and loads (nitrate-nitrite as NOx and phosphorous as P) using sparse measurements of nutrient concentrations and flows. The overall aim is to evaluate how DSS can identify the informative sampling times and locations and reconstruct concentration (NOx and TP) time series with minimal measurements. Furthermore\, this study examines the model’s sensitivity to the size of training data\, time span of monitored data\, and hydrologic regions. This method has a high potential to reduce the cost and effort of nutrient monitoring programs and assessments of catchment material balances. \n\nThe Spring 2025 Freshwater Colloquium series will be held in the GLRF Ballroom. Most talks will involve the theme of Emerging Contaminants in Aquatic Environments. Snacks will be available prior to the talk. Please join us! \n\n\nThis presentation is open to students\, faculty\, staff\, alumni and the public. \n\n\n\n\n \n\nSpring 2025 Colloquium Series schedule. The Colloquium series creates a platform where students\, faculty\, and scientists discuss emergent issues related to freshwater science research. Invited speakers present specific topics of their research\, as well as policy\, commercial\, and industrial experiences. Everyone is welcome.
URL:https://uwm.edu/freshwater/event/freshwater-colloquium-data-efficient-stream-nutrient-modeling-an-application-of-data-driven-sparse-sensing/
LOCATION:School of Freshwater Sciences Ballroom\, First Floor\, 600 E Greenfield Avenue\, Milwaukee\, WI\, 53204
CATEGORIES:Alumni & Community,Career and Leadership Development,Faculty and Staff,Lectures Conferences and Symposiums,Public,Students,UWM Campus Events
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