TY  - JOUR
AU  - Iyer, Akira
AU  - Al-Farsi, Chidi
TI  - Discrete Element Modelling Applied to Groundwater Arsenic Contamination
JO  - Open Access Journal of Engineering Applications
PY  - 2020
VL  - 44
IS  - 1
SP  - 507
EP  - 531
AB  - Climate variability and extreme weather increasingly threaten the reliability of municipal waste systems in coastal regions. A dataset assembled from multiple sites within municipal waste systems underpins the empirical analysis. Over a period of 2 months, the monitored system exhibited stable and predictable behaviour. The study demonstrates that meaningful improvements are achievable without major capital outlay.
KW  - groundwater arsenic contamination
KW  - discrete element modelling
KW  - heat transfer
KW  - heavy metal removal
KW  - smart grid
SN  - 3105-7004
DO  - 10.55555/oajea.2020.4401.026
UR  - https://journal.bsaps.com/article/9693
ER  -