A GIS-Based Mapping for Effective Utilization of Biomass ash in the Construction Sector

Akash Anand; Chikkam Ramakrishna Balaji; Manoj Sadafale; Jonardan Koner; Mangesh Madurwar

Akash Anand Post Graduate Student, Department of Civil Engineering, Visveswaraya National Institute of Technology, Nagpur, India.
Chikkam Ramakrishna Balaji Research Scholar, Department of Civil Engineering, Visveswaraya National Institute of Technology, Nagpur, India.
Manoj Sadafale Research Scholar, Department of Civil Engineering, Visveswaraya National Institute of Technology, Nagpur, India.
Jonardan Koner Professor, National Institute of Construction Management and Research, Pune, India.
Mangesh Madurwar Associate Professor, Department of Civil Engineering, Visveswaraya National Institute of Technology, Nagpur, India.

Abstract

India is an emerging country in the world in both the agriculture and industrial sectors. The dynamic growth of these sectors causes enormous consumption of natural resources and also generates large quantities of agricultural waste which causes pollution in our ecosystem. So, it is important to manage agricultural waste generation and properly utilize waste to effectively attain some of the agenda of SDGs by 2030. The objective of the study is to reduce the generated agricultural waste and its utilization as fuel in industries. The ash emerging from these industries can be potentially used as Supplementary Cementitious Materials (SCM) in construction. To minimize natural resource consumption in the construction sector, a detailed map-based study of biomass ash carried out from crop residue generation to complete utilization in the industrial sector using GIS is carried out. The parameters of the study are crop pattern, identification of industries, ash composition, and location of cement industries. Results from the network analysis, OD analysis, and map-based study shall analyze the biomass origin to ash destination use, time involved, cost implications, and feasibility. The study on GIS-based mapping shall identify the optimum supply chain and can propose future agriculture and industrial clusters in the division. The practical framework helps to develop effective GIS network analysis to attain the shortest distance for road and rail networks which helps in the reduction of freight cost, fuel, and carbon emissions to achieve a clean and sustainable environment.

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