TY  - JOUR
AU  - Al-Farsi, Abdullah
TI  - Modelling Groundwater Arsenic Contamination with Model Predictive Control
JO  - Open Access Journal of Engineering Applications
PY  - 2020
VL  - 44
IS  - 1
SP  - 897
EP  - 903
AB  - A robust characterisation of groundwater arsenic contamination is a prerequisite for the safe expansion of supply chain logistics. The experimental programme spans several configurations typical of supply chain logistics. Over a period of 8 months, the monitored system exhibited stable and predictable behaviour. Further validation across a broader range of conditions is recommended before large-scale deployment.
KW  - groundwater arsenic contamination
KW  - model predictive control
KW  - cognitive radio
KW  - support vector machine
KW  - blockchain
SN  - 3105-7004
DO  - 10.55555/oajea.2020.4401.049
UR  - https://journal.bsaps.com/article/9716
ER  -