Blar i Scientific publications på forfatter "Sample, James Edward"
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Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model, SimplyP, and INCA-P
Jackson-Blake, Leah Amber; Sample, James Edward; Wade, Andrew J.; Helliwell, Rachel C.; Skeffington, Richard A. (Journal article; Peer reviewed, 2017)Catchment-scale water quality models are increasingly popular tools for exploring the potential effects of land management, land use change and climate change on water quality. However, the dynamic, catchment-scale nutrient ... -
COASTAL HABITAT MAPPING WITH UAV MULTI-SENSOR DATA: AN EXPERIMENT AMONG DCNN-BASED APPROACHES
Liu, Yi; Liu, Qinghui; Sample, James Edward; Hancke, Kasper; Salberg, Arnt Børre (Peer reviewed; Journal article, 2022)With recent abundant availability of high resolution multi-sensor UAV data and rapid development of deep learning models, efficient automatic mapping using deep neural network is becoming a common approach. However, with ... -
Modeling geogenic and atmospheric nitrogen through the East River Watershed, Colorado Rocky Mountains
Maavara, Taylor; Siirila-Woodburn, Erica R.; Maina, Fadji; Maxwell, Reed M.; Sample, James Edward; Chadwick, K. Dana; Carroll, Rosemary; Newcomer, Michelle E.; Dong, Wenming; Williams, Kenneth H.; Steefel, Carl I.; Bouskill, Nicholas J. (Peer reviewed; Journal article, 2021)There is a growing understanding of the role that bedrock weathering can play as a source of nitrogen (N) to soils, groundwater and river systems. The significance is particularly apparent in mountainous environments where ... -
Rapid development of fast and flexible environmental models: the Mobius framework v1.0
Norling, Magnus Dahler; Jackson-Blake, Leah Amber; Calidonio, José-Luis Guerrero; Sample, James Edward (Peer reviewed; Journal article, 2021)The Mobius model building system is a new open-source framework for building fast and flexible environmental models. Mobius makes it possible for researchers with limited programming experience to build performant models ... -
Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network
Jackson-Blake, Leah Amber; Clayer, Francois; Haande, Sigrid; Sample, James Edward; Moe, S. Jannicke (Peer reviewed; Journal article, 2022)Freshwater management is challenging, and advance warning that poor water quality was likely, a season ahead, could allow for preventative measures to be put in place. To this end, we developed a Bayesian network (BN) for ...