Systems thinking for education about the molecular basis of sustainability
PG Mahaffy, SA Matlin, TA Holme, J MacKellar - Nature Sustainability, 2019 - nature.com
The primary activities of chemistry involve analysing, synthesizing and transforming matter,
yet insufficient attention has been paid to the implications of those activities for human and …
yet insufficient attention has been paid to the implications of those activities for human and …
A rainfall‐runoff model with LSTM‐based sequence‐to‐sequence learning
Rainfall‐runoff modeling is a complex nonlinear time series problem. While there is still
room for improvement, researchers have been developing physical and machine learning …
room for improvement, researchers have been developing physical and machine learning …
Event-scale hysteresis metrics to reveal processes and mechanisms controlling constituent export from watersheds: A review✰
Due to the increased availability of high-frequency measurements of stream chemistry
provided by in situ sensors, researchers have gained more access to relationships between …
provided by in situ sensors, researchers have gained more access to relationships between …
Iowa stream nitrate and the Gulf of Mexico
The main objective of this work was to quantify and update the US Midwest agricultural state
of Iowa's contribution of nitrate-nitrogen to the Mississippi River stream network against the …
of Iowa's contribution of nitrate-nitrogen to the Mississippi River stream network against the …
A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds
High-frequency stream nitrate concentration provides critical insights into nutrient dynamics
and can help to improve the effectiveness of management decisions to maintain a …
and can help to improve the effectiveness of management decisions to maintain a …
Virtual and augmented reality applications for environmental science education and training
Recent advancements in positioning and depth sensing using sensor technologies, graphic
processor units and artificial intelligence led to the development of generalized and …
processor units and artificial intelligence led to the development of generalized and …
An ethical decision-making framework with serious gaming: a smart water case study on flooding
Sensors and control technologies are being deployed at unprecedented levels in both urban
and rural water environments. Because sensor networks and control allow for higher …
and rural water environments. Because sensor networks and control allow for higher …
[HTML][HTML] Land use interacts with changes in catchment hydrology to generate chronic nitrate pollution in karst waters and strong seasonality in excess nitrate export
Agricultural land in karst systems can pollute water courses, with polluted waters travelling
quickly to and through the sub-surface. Understanding how rapidly nitrate moves within the …
quickly to and through the sub-surface. Understanding how rapidly nitrate moves within the …
Towards an information centric flood ontology for information management and communication
Advancements and new techniques in information technologies are making it possible to
manage, analyze and present large-scale environmental modeling results and spatial data …
manage, analyze and present large-scale environmental modeling results and spatial data …
Hydrology@ Home: a distributed volunteer computing framework for hydrological research and applications
Web-based distributed volunteer computing enables scientists to constitute platforms that
can be used for computational tasks by using potentially millions of computers connected to …
can be used for computational tasks by using potentially millions of computers connected to …