Smart Advisory System Application for Hazardous Waste Management - Bani, Mohammad Shahnor;Abdul Rashid, Zulkifli;Ku Hamid, Ku Halim
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Industrial Hazardous waste management has become great concern among policy makers, governments, public agencies and most country in the world. A lot of cases happened shows catastrophic damage to our environment, social life, and economy. Accordingly, to rapid growth of industry, the amounts of scheduled wastes generated also increased and lead our country to be more alert about this problem. The lack of complete historical records of quantity and quality has resulted in a situation that makes the long-term system planning and/or short-term expansion programs intangible. A smart system,…mehr

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Produktbeschreibung
Industrial Hazardous waste management has become great concern among policy makers, governments, public agencies and most country in the world. A lot of cases happened shows catastrophic damage to our environment, social life, and economy. Accordingly, to rapid growth of industry, the amounts of scheduled wastes generated also increased and lead our country to be more alert about this problem. The lack of complete historical records of quantity and quality has resulted in a situation that makes the long-term system planning and/or short-term expansion programs intangible. A smart system, called SWSPro-1 was developed to overcome the problems. SWSPro-1 is a future waste management analysis tool for the sustainable optimization of multiple disposal and recycling prediction.The main goal of SWSPro-1 applications are to help and assist waste generators, policy makers, and environmental consultants, making prediction regarding the amount of Hazardous waste categories and estimated cost required for disposing their wastes, estimated landfill life span, and promoting waste minimization and sustainability.
Autorenporträt
He is an engineer at Petronas Carigali Sdn Bhd. He have 5 years experience in oil and gas fields. His research interests are in the areas of Environmental Engineering, decision support system, GIS and simulation. Dr.Zulkifli Abd Rashid is a senior lecturer at Chemical Engineering, UITM. Prof. Ku Halim Ku Hamid is a senior lecturer at UITM.