Identification of groundwater contamination sources using a statistical algorithm based on an improved Kalman filter and simulation optimization

Title
Identification of groundwater contamination sources using a statistical algorithm based on an improved Kalman filter and simulation optimization
Authors
Keywords
Contamination, Improved Kalmer filter, Mixed integer nonlinear programming, Numerical modeling, Surrogate model
Journal
HYDROGEOLOGY JOURNAL
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-09-21
DOI
10.1007/s10040-019-02030-y

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started