In this paper, within the framework of increasing the contributions to sustainable development go... more In this paper, within the framework of increasing the contributions to sustainable development goals and reducing the water footprint, the sustainable production potential of a factory producing denim fabrics have been studied in association with the sustainable development goals. For this purpose, Life Cycle Assessment and Material Input per Service methods were used to determine the environmental impact factors of the factory and the existing water footprint. Calculations were made in three different ways, taking the factory’s total production capacity, a selected product, and the wet processes into account. Although the sustainable production potential of the factory is demonstrated with the Sustainable Development Goals, it has been determined that the contribution rates differ according to both the calculation method and the production data taken into account. As a result of the evaluations, it has emerged as a more dominant view that the factory’s contribution to the Sustainab...
This is the first study to evaluate the indoor air quality of markets using the “Indoor Environme... more This is the first study to evaluate the indoor air quality of markets using the “Indoor Environmental Index”. In the study, carbon dioxide (CO2), relative humidity, temperature, particulate matter, and total volatile organic compounds were measured as indoor air quality parameters in four different markets in Istanbul during the COVID-19 pandemic. Data were analyzed and evaluated using IBM SPSS Statistics 22 program. While CO2, PM2.5, PM10, humidity, and temperature had a statistically significant difference in different markets, no statistically significant difference was found for NO2 and total volatile organic compounds (p > 0.05). Considering the different hours in a day, it was determined that there was a statistically significant difference for all parameters. The highest and strongest correlation between the parameters was found between PM2.5 and PM10 (r = 0.703, p < 0.01). The IEI values for 4 different markets in different time intervals in a day were found as 6.862, ...
In this paper, within the framework of increasing the contributions to sustainable development go... more In this paper, within the framework of increasing the contributions to sustainable development goals and reducing the water footprint, the sustainable production potential of a factory producing denim fabrics have been studied in association with the sustainable development goals. For this purpose, Life Cycle Assessment and Material Input per Service methods were used to determine the environmental impact factors of the factory and the existing water footprint. Calculations were made in three different ways, taking the factory’s total production capacity, a selected product, and the wet processes into account. Although the sustainable production potential of the factory is demonstrated with the Sustainable Development Goals, it has been determined that the contribution rates differ according to both the calculation method and the production data taken into account. As a result of the evaluations, it has emerged as a more dominant view that the factory’s contribution to the Sustainab...
This is the first study to evaluate the indoor air quality of markets using the “Indoor Environme... more This is the first study to evaluate the indoor air quality of markets using the “Indoor Environmental Index”. In the study, carbon dioxide (CO2), relative humidity, temperature, particulate matter, and total volatile organic compounds were measured as indoor air quality parameters in four different markets in Istanbul during the COVID-19 pandemic. Data were analyzed and evaluated using IBM SPSS Statistics 22 program. While CO2, PM2.5, PM10, humidity, and temperature had a statistically significant difference in different markets, no statistically significant difference was found for NO2 and total volatile organic compounds (p > 0.05). Considering the different hours in a day, it was determined that there was a statistically significant difference for all parameters. The highest and strongest correlation between the parameters was found between PM2.5 and PM10 (r = 0.703, p < 0.01). The IEI values for 4 different markets in different time intervals in a day were found as 6.862, ...
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Papers by Hakan GÜNEY