Assessment of the Sustainability of Tree Plantation in Urban Areas

Abstract

The issues and options for sustainable tree planting in an urban location are discussed in detail, with references to numerous research articles being used. The focus of this study is on the selection of suitable tree species to decrease air pollution, which is accomplished via the use of artificial intelligence methods, geographic information systems (GIS) tools, and computational analysis. Air pollution is the most essential component of environmental studies nowadays since every advancement made by civilization has resulted in a deterioration of air quality. The use of artificial technologies has been shown to be insufficient in effectively resolving this difficulty. Consequently, planting is a strategy for reducing air pollution that is both more effective and less harmful to the ecosystem of the environment. There are significant similarities across plants, despite the fact that each plant reacts differently to the many kinds of contaminants encountered. As a result, no one facility can effectively treat all types of air pollution. A number of factors influence the selection of plant species for plantation, including their APTI and API, dust accumulating capacity, carbon sequestering capability, and other characteristics. Each of these factors should be thoroughly investigated before choosing a plant species for a plantation project. Furthermore, the decision needs to be made in line with the requirements of the location. The current review is an attempt to diagnose Indian tree species based on their Air Pollution Tolerance Index (APTI), Anticipated Performance Index (API), Carbon Sequestration, and Dust Collection Potential, and to certify them based on the purpose of plantation for which they are being planted. This review is being conducted in both India and the United States.