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Tatsuya SAKURAI,Takeru SUZUKI,Misato YOSHIOKA 한국대기환경학회 2018 Asian Journal of Atmospheric Environment (AJAE) Vol.12 No.1
This study aims to evaluate the performance of the Air Quality Model (AQM) for the seasonal and spatial distribution of the NH3 concentration in the atmosphere. To obtain observational data for the model validation, observations based on biweekly sampling have been conducted using passive samplers since April 2015 at multiple monitoring sites in the Tokyo metropolitan area. AQM, built based on WRF/CMAQ, was applied to predict the NH3 concentration observed from April 2015 to March 2016. The simulation domain includes the Kanto region, which is the most densely populated area in Japan. Because the area also contains large amount of livestock, especially in its northern part, the density of the NH3 emissions derived from human activities and agriculture there are estimated to be the highest in Japan. In the model validation, the model overestimated the observed NH3 concentration in the summer season and underestimated it in the winter season. In particular, the overestimation in the summer was remarkable at a rural site (Komae) in Tokyo. It was found that the overestimation at Komae was caused by the transportation of NH3 emitted in the northern part of the Kanto region during the night. It is suggested that the emission input used in this study overestimated the NH3 emission from human sources around the Tokyo suburbs and agricultural sources in the northern part of the Kanto region in the summer season. In addition, the current emission inventories might overestimate the difference of the agricultural NH3 emissions among seasons. Because the overestimation of NH3 in the summer causes an overestimation of NO3 - in PM2.5 in the AQM simulation, further investigation is necessary for the seasonal variation in the NH3 emissions.
Tatsuya Sakurai,Miu Ito,Shinichi Hanayama 한국대기환경학회 2021 Asian Journal of Atmospheric Environment (AJAE) Vol.15 No.1
This study developed a database of emission inventories from ships around Japan using the activity data in the 2015 Japanese fiscal year. The emission of air pollutants from ships was estimated for fuel combustion in main engine, auxiliary engines, and boilers onboard. The ships’ operations for the emission estimation in the exhaust gas consist of ships in navigation, ships at anchor, and fishing boats. For the emission estimation regarding navigation ships, data from Automatic Identification System (AIS) received at the stationary stations on land in Japan were used in this study to calculate the activity. The emission amounts were compared between the sea (Seto Inland Sea (SIS) and Tokyo Bay) and prefectures surrounding those ocean areas. The ship emission ratios in total anthropogenic emissions including the land part reached SO2: 29%, PM: 40%, and NOx: 22% for the SIS area. In Tokyo Bay, the ship emission ratios in total reached SO2: 36%, PM: 28%, and NOx: 13%, and the emission intensities per unit area for SO2 and PM2.5 are approximately three times higher than those in the other regions, respectively. Therefore, the shipping traffic density is relatively higher compared to transportation on land, and the emission is condensed locally. Assuming that the 2020 global sulphur limit switched to a sulphur content of 0.50% m/m, SO2 emissions could be reduced to 24% in SIS and 22% in Tokyo Bay, sulphate emissions could be reduced to 23% in SIS and 21% in Tokyo Bay, and PM emissions could be reduced to 39% in SIS and 36% in Tokyo Bay. Therefore, the 2020 global sulphur limit should reduce the emission from ships around the Japan coastal area and improve the air quality in congested water areas such as SIS and Tokyo Bay.
Implementation test model of torque control for Automatic Guided Vehicle
Tatsuya Ikawa,Kenji Sawada,Seiichi Shin 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This paper describes how to develop a torque control algorithm for automatic guided vehicle (AGV). Also, this paper describes a prototype machine which the method is implemented into. The prototype machine used in this paper is a wheel type robot with the H8 microcomputer. This paper points out that the proposed algorithm is helpful in terms of implementation experiments.
Wind-induced vibration control of a 200 m-high tower-supported steel stack
Tatsuya Susuki,Naoya Hanada,Shin Homma,Junji Maeda 한국풍공학회 2006 Wind and Structures, An International Journal (WAS Vol.9 No.5
It is well known that cylinder steel stacks are heavily impacted by vortex-induced vibration. However, the wind-induced vibration behaviors of tower-supported steel stacks are not clarified due to a lack of observation. We studied a stack response to strong winds over a long period of time by observing the extreme wind-induced vibration of a 200 m-high tower-supported steel stack. This experiment aimed to identify the wind-induced vibration properties of a tower-supported steel stack and assess the validity of the vibration control method used in the experiment. Results revealed a trend in wind-induced vibration behavior. In turn, an effective measure for controlling such vibration was defined by means of increasing the structural damping ratio due to the effects of the tuned mass damper to dramatically decrease the vortex-induced vibration of the stack.
Tatsuya Komuro,Ayano Shinozaki,Aramu Kim,Daisuke Doyo,Toshiyuki Matsumoto 대한산업공학회 2012 Industrial Engineeering & Management Systems Vol.11 No.1
Recently, global environmental problems have become serious due to human economic activities. Therefore, in order to build a sustainable society in which human economic activities coexist with nature, it is important to promote and enhance environmental education. As a preceding study, a board and computer game of "Ecopoly," which is the game for education on global environmental problems, were developed. This study further aims to develop algorithms which make decisions in Ecopoly, to automate decision-makings of opponents using the algorithms, and to develop the environmental educational game "Ecopoly V" which enables self-learning. In order to develop the algorithms, the board game of Ecopoly was played, and each player"s decision-makings at the all points at which players make a decision were observed and analyzed. From the analyses, it became clear that the decision-makings were distinguished by 3 characteristics; Ecology type, Economy type, and Balance type. Based on the characteristics, the factors and standard values of each decision-making were made clear. Algorithms were developed based on the factors and standard values. Ecopoly V was developed by incorporating the algorithms into the computer game of Ecopoly. Experimental testing of the game was conducted and the validity of the game was verified.
Real-life Experimental Data Acquisition in Smart Home and Data Analysis Tool Development
Tatsuya Yamazaki,Tetsuo Toyomura 동국대학교 정보융합기술원 2008 International Journal of Assistive Robotics and Sy Vol.9 No.4
Collecting smart environment experimental data in a real situation and sharing the data are necessary to make the technologies used in the smart environment more practical. We have developed a data analysis tool for the real-life experiment data collected in a smart home environment. The subjects of the 16-day experimental data were a couple of husband and wife in their sixties. The data analysis tool as well as the collected data with the consent of the subjects is open for the purpose of research and development. In this paper, we introduce how the data were collected and the outline of the data analysis tool to promote interdisciplinary research and standardization activities in the field of smart environments.