Design Manual Removal of Arsenic from Drinking Water Supplies by Iron Removal Process

Today, we stand in front of a huge wave of change named the "Fourth industrial revolution." Key technologies of the Fourth Industrial Revolution include artificial intelligence, the Internet of Thing (IoT), cloud computing, big data analysis, etc. These technologies will lead to an intelligent information society, and platform services will change every aspect of society from economic and work. This paper proposes several introductions of Artificial Intelligence Technology to improve water management.

In efforts to make package plants more compact, affordable and easier to operate and maintain, it has been noted that the design and performance of some of these plants containing conventional treatment processes is sometimes compromised if technical expertise in this regard is lacking. Generally, there are several risks associated with poorly designed treatment systems, including loss of production, poor safety and compromised equipment and process unit efficiency with associated higher operating and maintenance costs. These risks have more severe consequences in the case of desalination (including water reclamation and water re-use) package plants. The objective of this project is to develop a set of guidelines to assist municipalities, water treatment practitioners, designers and package plant manufacturers in the specification and design of appropriate unit processes and operating parameters to fit the influent water quality, operating environment and other special treatment requirements.

The goal of this project is to validate proof-of-concept testing for iron enriched granular activated carbon (GAC) composites (aerogel-GAC or iron-oxide impregnated) as a viable adsorbent for removing arsenic from groundwater and conduct technical and economic feasibility assessments for these innovative processes. Specific project objectives include: • Conduct batch experiments for aerogel-GAC and Fe-oxide impregnated GAC composites to evaluate their performance removing arsenic. • Evaluate Fe-GAC media performance in rapid small scale column tests (RSSCTs) to assess arsenic removal in a more dynamic treatment system. • Evaluate Fe-GAC potential for removal of other contaminants (e.g., methyl tertiary butyl ether, dissolved organic carbon). • Characterize Fe-GAC media. • Correlate performance and media characterization for possible selection of two media for a future second phase of this project.