Application of Geographic Information System in Solid Waste Management

Abstract

The application of geographic information systems (GIS) to solid waste management (SWM) has been widely adopted in many cities around the world. Planning a sustainable waste management approach is complex, tedious, and time-consuming, and decision-makers are frequently subjected to conflicting factors. GIS has a crucial role in simplifying and facilitating the implementation of sustainable SWM. It is a powerful tool that can assist in minimizing value conflicts among preference and interest parties by providing better information. In this chapter, the basic principles of how GIS is utilized in SWM planning are discussed. The first few sections deal with sustainable SWM planning, its challenges, and problems with the poor performance of its planning. Furthermore, the principles of GIS, how it evolved in SWM, and its integration with multi-criteria evaluation were discussed. The final sections deal with the application of GIS in waste collection optimization and waste disposal planning. The primary aim of this chapter is, therefore, to aid decision-makers in the field so that they can apply it to the daily challenges of SWM.

Photocatalytic degradation of drugs and dyes using a maching learning approach

“…[52][53][54][55][56][57] Machine learning algorithms help in identifying the most appropriate treatment technologies and strategies for different types of waste, considering factors such as waste composition, environmental impact, and costeffectiveness. 25,[58][59][60][61][62] Because machine learning algorithms are suitable for depicting complex nonlinear processes, they are gradually being adopted to better manage waste and facilitate sustainable environmental development. [63][64][65][66][67] These algorithms can process massive datasets and discover previously hidden patterns and discernible relationships through traditional analytical methods.…”

“…52–57 Machine learning algorithms help in identifying the most appropriate treatment technologies and strategies for different types of waste, considering factors such as waste composition, environmental impact, and cost-effectiveness. 25,58–62…”

Spatial Rearrangement of Manufacturing Industrial Zones Based on MCDM in Mojokerto Regency. Case Study Northern Mojokerto Region

“…Employing GIS analysis proves to be a highly time-efficient approach, as it effectively manages, processes, and upgrades extensive georeferenced data from various sources at multiple spatial and scale levels. Additionally, a GIS-based approach offers cost reduction benefits in site selection, making it a more economical option for decision-making processes [20]…”

Diverse Applications of Remote Sensing and Geographic Information Systems in Implementing Integrated Solid Waste Management: A Short Review

“…RS and GIS play diverse roles in implementing ISWM. RS techniques, like satellite imagery and aerial photography, enable accurate waste generation mapping, monitoring of disposal sites, and recycling facilities [8]. GIS aid in optimizing waste collection routes, selecting landfill sites, and identifying locations for waste-to-energy projects.…”