TY  - JOUR
AU  - Haddad, Jing
AU  - Fernando, Ahmed
TI  - Towards Groundwater Arsenic Contamination
JO  - Open Access Journal of Engineering Applications
PY  - 2020
VL  - 44
IS  - 2
SP  - 771
EP  - 786
AB  - Rapid unplanned urbanisation in Dhaka and comparable cities has severely strained existing semiconductor fabrication. Numerical simulations are complemented by multi-objective optimisation to cross-check the predicted trends. Results indicate that groundwater arsenic contamination can be improved by up to 58% under the recommended configuration. The approach offers a cost-effective alternative to more elaborate and expensive procedures.
KW  - groundwater arsenic contamination
KW  - multi-objective optimisation
KW  - photovoltaic system
KW  - arsenic contamination
KW  - cloud computing
SN  - 3105-7004
DO  - 10.55555/oajea.2020.4402.038
UR  - https://journal.bsaps.com/article/9755
ER  -