Editorial: Rapid, reproducible, and robust environmental modeling for decision support: worked examples and open-source software tools
No abstract available.
Frontiers in Earth Science↗
Geology topics
Catherine R. Moore
Publications and source records attributed to Catherine R. Moore.
A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support
Use of physically-motivated numerical models like groundwater flow-and-transport models for probabilistic impact assessments and optimization under uncertainty (OUU) typically incurs such a computational burdensome that these tools cannot be used during decision making. The computational challenges associated with these models can be addressed through emulation. In the land-use/water-quality context, the linear relation between nitrate loading and surface-water/groundwater nitrate concentrations presents an opportunity for employing an efficient model emulator through the application of impulse-response matrices. When paired with first-order second-moment techniques, the emulation strategy gives rise to the “stochastic impulse-response emulator” (SIRE). SIRE is shown to facilitate non-intrusive, near-real time, and risk-based evaluation of nitrate-loading change scenarios, as well as nitrate-loading OUU subject to surface-water/groundwater concentration constraints in high decision variable and parameter dimensions. Two case studies are used to demonstrate SIRE in the nitrate-loading context.
Environmental Modelling and Software↗