• Title/Summary/Keyword: $CO_2$ Emissions reduction effect

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Effect of Feeding Multiple Probiotics on Performance and Fecal Noxious Gas Emission in Broiler Chicks (혼합 생균제의 급여가 육계의 생산성 및 계분의 유해가스 발생에 미치는 영향)

  • Yoon C.;Na C. S.;Park J. H.;Han S. K.;Nam Y. M.;Kwon J. T.
    • Korean Journal of Poultry Science
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    • v.31 no.4
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    • pp.229-235
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    • 2004
  • A study was conducted to examine the effect of dietary supplementation of multiple probiotics (EM) on growth performance, blood cholesterol, intestinal micro flora, and fecal gas emission in broiler chicks. A total of 450 one day old male broiler chicks (Ross $\times$ Ross) were divided into six treatments with five replications in each treatment for five weeks. Treatments were factorially designed with two levels of diet containing probiotics (DW; 0, $0.2\%$) and three levels of drinking water containing probiotics (DW; 0, 0.01, $0.1\%$). Basal diets contained $21.5\%$ CP and 3,100 kcal/kg ME for starting and $19\%$ CP and 3,100 kcal/kg ME for finishing period. Weight gain, feed intake, and feed conversions of birds fed with probiotics were not significantly different between Ds. Total cholesterol and triglyceride levels were significantly lower (P<0.05) in birds fed with DW $0.01\%$ or $0.1\%$ compared with no probiotics group, but there was no significant difference between D treatments. The number of E. coli, Salmonella and Lactobacillus in the ileum and cecum of the birds fed multiple probiotics were not significantly different from those of no probiotic groups. There were no significant differences in the $CO_2$ gas emissions of fecal between birds fed with Ds or among birds fed with DW. However, $NH_3$ gas emissions of DW $0.1\%$ were significantly lower (P<0.05) than DW $0\%$. In the results of this study, supplementation of probiotics tended to decrease the serum cholesterol and triglyceride compared to those of control groups and reduction of fecal $NH_3$ gas emission.

The Effect on Logistics Cost of Incompatible Packaging Sizes in T-11 and T-12 pallet systems (T-11형 및 T-12형 파렛트 간 공용포장규격 미적용으로 인해 물류비에 미칠 수 있는 영향)

  • Jung, Sung-Tae;Yoon, Nam-Soo
    • Journal of Distribution Science
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    • v.11 no.8
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    • pp.15-23
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    • 2013
  • Purpose - This is a case study aimed at finding a solution for improving the pallet loading efficiency in the process of delivering products through a transshipment using the T-11 and T-12 pallet systems. The study proposes a solution by demonstrating the case of a certain manufacturer A, who aims to reduce the logistics cost by using packaging sizes that are commonly applicable and can improve the compatibility between the T-11 pallet system, designated as the standard pallet in Korea, and the T-12 pallet system, which is commonly used in other foreign countries. The use of common sizes increases compatibility among the two systems and reduces both logistics and environmental costs. Thus, this case study calculates the quantitative benefits of applying common packaging sizes to improve the compatibility between the T-11 and T-12 pallet systems. These systems are considered to be the most important and widely used transportation systems in the global logistics industry. Research design, data, and methodology - This study examined manufacturer A's representative product and delivery system and assessed how manufacturer A was affected by the use of incompatible packaging sizes in the T-11 (1100 mm×1100 mm) and T-12 (1200mm×1000 mm) pallet systems, which were specified in the KS T 1002 standard. In addition, this study analyzed the impact of these packaging sizes on A's logistics cost. The TOPS program (Total Packaging System) was used to simulate pallet loading efficiency,and the main parameter studied was volume, as calculated from length, width, and height. Results - When the sizes of secondary packaging were not compatible across the T-11 and T-12 pallet systems, a reduction in loading efficiency was observed, leading to an increase in logistics cost during transshipment. Such low loading efficiencies led to a further loss of efficiency in transportation, storage and unloading. This may have a possible environmental impact with high social expenses, such as increased CO2 emissions. Hence, this study proposed that the KS T 1002 standard be amended to include 21 packaging sizes, including 7 sizes of the 600 mm×500 mm category, which are compatible with both the T-11 and T-12 pallet systems. Conclusions - This study found that the 69 standard sizes under the T-11 pallet system and the 40 standard sizes under the T-12 system in the KS T 1002 standard can be simplified and reduced to 21 mutually compatible packaging sizes, enabling logistics standardization and reducing national-level logistics costs. If the government pays attention to this study and considers the standardization of common sizes for the T-11 and T-12 pallet systems and amends the KS T 1002 standard, this study will deliver practical value to the global logistics industry, apart from being of academic significance.

Predicting the Effects of Rooftop Greening and Evaluating CO2 Sequestration in Urban Heat Island Areas Using Satellite Imagery and Machine Learning (위성영상과 머신러닝 활용 도시열섬 지역 옥상녹화 효과 예측과 이산화탄소 흡수량 평가)

  • Minju Kim;Jeong U Park;Juhyeon Park;Jisoo Park;Chang-Uk Hyun
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.481-493
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    • 2023
  • In high-density urban areas, the urban heat island effect increases urban temperatures, leading to negative impacts such as worsened air pollution, increased cooling energy consumption, and increased greenhouse gas emissions. In urban environments where it is difficult to secure additional green spaces, rooftop greening is an efficient greenhouse gas reduction strategy. In this study, we not only analyzed the current status of the urban heat island effect but also utilized high-resolution satellite data and spatial information to estimate the available rooftop greening area within the study area. We evaluated the mitigation effect of the urban heat island phenomenon and carbon sequestration capacity through temperature predictions resulting from rooftop greening. To achieve this, we utilized WorldView-2 satellite data to classify land cover in the urban heat island areas of Busan city. We developed a prediction model for temperature changes before and after rooftop greening using machine learning techniques. To assess the degree of urban heat island mitigation due to changes in rooftop greening areas, we constructed a temperature change prediction model with temperature as the dependent variable using the random forest technique. In this process, we built a multiple regression model to derive high-resolution land surface temperatures for training data using Google Earth Engine, combining Landsat-8 and Sentinel-2 satellite data. Additionally, we evaluated carbon sequestration based on rooftop greening areas using a carbon absorption capacity per plant. The results of this study suggest that the developed satellite-based urban heat island assessment and temperature change prediction technology using Random Forest models can be applied to urban heat island-vulnerable areas with potential for expansion.