Engendering Climate Change

This review presents the developments in artificial intelligence technologies for environmental pollution controls. A number of AI approaches, which start with the reliable mapping of nonlinear behavior between inputs and outputs in chemical and biological processes in  terms of prediction models to the emerging optimization and control algorithms that study the  pollutants removal processes and intelligent control systems, have been developed for environmental clean-ups. The characteristics, advantages and limitations of AI methods, including single and hybrid AI methods, were overviewed. Hybrid AI methods exhibited synergistic effects, but with computational heaviness.

Abstract Water and its management is becoming not just a local but a global priority. The UN Rio+20 Declaration emphasises the need to establish a green economy as the means to achieving sustainable development while protecting and improving the world’s natural resources. Water is increasingly seen as a central plank of the green economy. It is embedded in all aspects of development – food security, health, and poverty reduction – and in sustaining economic growth in agriculture, industry, and energy generation.

Introduction: Sustainable water and wastewater services are critical to providing the American public with clean and safe water and helping ensure the environmental, economic, and social sustainability of the communities that utilities serve. Utilities across the country face tremendous challenges, such as aging infrastructure, an aging workforce, increasing mandates, and competing priorities within the communities they serve. The purpose of this document is to assist utility leaders with implementing proven and effective practices over time to improve their operations and move toward sustainability, at a pace consistent with their needs and the needs of their communities. It provides utility leaders with a cohesive structure to help them address various challenges proactively and with confidence. The practices described in this document reflect the lessons learned and the practical experience utilities have derived as they have improved their operations. A utility can use this document to identify specific opportunities for improvement and draw on the example practices to create an individualized “roadmap” to more sustainable operations.