AI IN SUPPORT TO WATER QUALITY MONITORING

Assessment of Guinea Savanna River system to evaluate water quality and water monitoring networks

The analysis of changes in water quality in a monitoring network system is important because the sources of pollution vary in time and space. This study utilized analysis of the water quality index calculation, hierarchical cluster analysis, and mapping. This was achieved by assessing the water quality parameters of the samples collected from Galma River in Zaria, Northwestern Nigeria in wet an...

Water Quality Monitoring to Support the European Commission's Water Framework Directive Reporting Requirements

CORMS AI: Decision Support System for Monitoring US Maritime Environment

Rule based reasoning and case based reasoning have emerged as two important and complementary reasoning methodologies in artificial intelligence (Al). This paper describes the approach for the development of CORMS AI, a decision support system which employs rule-based and case-based reasoning to assist NOAA’s Center for Operational Oceanographic Products and Services watch standing personnel in...

Water Quality Standards and Monitoring

Contents 1. Introduction 2. Drinking water quality standards and their development 2.1. WHO drinking water quality guidelines 2.2. Health related chemicals 2.3. Microbiological aspects 2.4. Acceptability aspects 2.5. Development of national drinking water quality standard 3. Wastewater quality standard 4. Water quality consideration in various water uses 4.1. Agricultural water use and preventi...

Real-time water quality monitoring

Coastal water quality affects millions of people in the United States every year from residents of coastal communities to beach visitors. The Environmental Protection Agency (EPA) has set forth standards for surface waters nationwide to reduce the amount of pollution released into them. In order to enforce these standards, methods for monitoring bacterial concentrations in coastal waters have b...