Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Towards Groundwater Arsenic Contamination

Jing Haddad Corresponding
Tsinghua University
Ahmed Fernando 0000-0002-2207-2713
Military Institute of Science and Technology

Abstract

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.
Keywords: groundwater arsenic contaminationmulti-objective optimisationphotovoltaic systemarsenic contaminationcloud computing

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