Volume 9, Issue 3 (September 2024)
J Environ Health Sustain Dev 2024, 9(3): 2369-2377 |
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Ethics code: IR.SSU.SPH.REC.1397.098
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Ebrahimi A A, Gholami M, Khashij M, Shamsizadeh Z, Weysi K, Ehrampoush M H, et al . Investigating the Level of Metal’s Toxicity in Used Cell Phone Batteries by TCLP and WET Methods. J Environ Health Sustain Dev 2024; 9 (3) :2369-2377
URL: http://jehsd.ssu.ac.ir/article-1-778-en.html
URL: http://jehsd.ssu.ac.ir/article-1-778-en.html
Ali Asghar Ebrahimi 
, Maryam Gholami , Maryam Khashij , Zahra Shamsizadeh , Keywan Weysi , Mohammad Hassan Ehrampoush , Mohsen Pourafshar , Habibeh Nasab *
, Maryam Gholami , Maryam Khashij , Zahra Shamsizadeh , Keywan Weysi , Mohammad Hassan Ehrampoush , Mohsen Pourafshar , Habibeh Nasab *
Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract: (84 Views)
Introduction: Modeling energy demand in different energy consuming sectors is a crucial measure for effective management of the energy sector and appropriate policies to increase productivity. The rising importance of energy resources in economic development is evident. Sustainable energy use is crucial for environmental protection and social progress. Understanding the factors affecting energy consumption is essential for effective energy management. Therefore, the purpose of the current study is to investigate the impact of environmental factors on household electricity consumption in Yazd city.
Materials and Methods: In the present research, various environmental factors affecting electricity consumption, including air pollution, air temperature in homes, ground surface temperature, and green space were investigated. The effects of these factors on electricity consumption of subscribers were investigated with ANN and apriori methods.
Results: Among the environmental factors, the distance to the regional park, the area of the park, and the amount of vegetation at a distance of 300m have the greatest impact, respectively, and the average summer air temperature, the amount of vegetation at a radius of 500 m, the distance from the local park, and the average summer NDVI have had the smallest effect. Unlike neural network methods, apriori presents relationships between parameters affecting electricity consumption transparently in the form of rules.
Conclusion: It's used to identify the most frequently occurring elements and meaningful associations in a dataset. Greenspace can be a mitigation strateegy for reduction of energy consumption.
Materials and Methods: In the present research, various environmental factors affecting electricity consumption, including air pollution, air temperature in homes, ground surface temperature, and green space were investigated. The effects of these factors on electricity consumption of subscribers were investigated with ANN and apriori methods.
Results: Among the environmental factors, the distance to the regional park, the area of the park, and the amount of vegetation at a distance of 300m have the greatest impact, respectively, and the average summer air temperature, the amount of vegetation at a radius of 500 m, the distance from the local park, and the average summer NDVI have had the smallest effect. Unlike neural network methods, apriori presents relationships between parameters affecting electricity consumption transparently in the form of rules.
Conclusion: It's used to identify the most frequently occurring elements and meaningful associations in a dataset. Greenspace can be a mitigation strateegy for reduction of energy consumption.
Keywords: Batteries, Metals, Electronic waste, Environmental pollution, Toxicity, Waste Extraction Test, Toxicity Characteristic Leaching Procedure
Type of Study: Original articles |
Subject:
Environmental Health, Sciences, and Engineering
Received: 2024/05/29 | Accepted: 2024/07/10 | Published: 2024/10/1
Received: 2024/05/29 | Accepted: 2024/07/10 | Published: 2024/10/1
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