List of Dissertation Abstract (Department of Artificial Environment)
NameSupervisor

Title

DeguchiAtsumiStudy on autocatalytic

Yoshikuni

Miyakedecomposition of dimethylsulfoxide and safe handlingsystem thereof

KOMATSUOYA

Analysis of Consumer Information

Junko

Masaruon the "Acid / Base Neutralization
Theory" in Cleaning

Abstract
Dimethyl sulfoxide (DMSO) is a solvent widely usedboth in laboratories and in industries, while it is anenergetic substance involving a decomposition risk
which can lead to an undesired explosion, unlessotherwise proper control is taken. Objectives of thisstudy are to elucidate the decomposition mechanism ofDMSO and to establish a safe handling system thereof.
The process of DMSO decomposition was divided into
three stages, and the reactions in each stage wereinvestigated by combining thermal analysis andchemical analysis of the product. The decomposition
behaviors of DMSO clarified were summarized andsafe handling system was considered.
The " acid-base neutralization theory in cleaning " isthe theory that acidic stains and alkaline stains can beneutralized and removed with alkali and acid,respectively, is widespread among Japanese
consumers.
Analyzing the diffusion process of misinformation
neutralization theory, theoretically unclear acidwashing experimentally verified, and further studied
the method of information transmission of life science.
Problems such as neutralization and confusion of thedefinitions of acids and bases were confirmed.
Instead of the neutralization reaction, Le Chatelier'sprinciple regarding H + of acid and the balance of ionicbonds were interpreted, and a correction logic could beconstructed.

Fujita Miwako

DaisukeStudy on energy consumption ofNarumi

grocery store consideringinteracting effects of spaceconditioning and refrigerating
equipment

SAKAMOTO

Masaru OyaYuka

Estimation of the detergency
factor of ecological cleaning withnatural surfactants and analysisofthe related consumer

information

Mizuta YutoMiyake

Study on emergency safety

Atsumimeasures for the incidents ofchemical plants

Grocery stores are an industry with high energy
density, and equipment development and operational
improvement measures for energy saving are requiredfor decarbonization. However, SC, space conditioning,building structure, etc. affect each other, making it
difficult to simulate energy consumption, and no one
has been completed yet. In this study, we proposed a
new energy consumption model by combining anenergy consumption model using a building spaceconditioning load and an SC cooling load, and a verticaltemperature distribution model created from theresults of sensitivity analysis by CFD.
Natural cleaning is a cleaning method that uses
familiar food materials.
However, there has been no academic study of thisissue, and some consumer information is erroneous.
We have therefore clarified the trends and cleaningmechanisms of beer and washing rice water, which areused as natural surfactants among the materials, bycollecting and analyzing consumer information andexperimentally verifying the information.
Based on the results, the author discusses futureapplications and issues regarding consumer education.
The study about preventive safety measures inchemical plants has been studied well since before,
however, it is hard to say that the study about post
measures is sufficient. In this study, the sophisticatedmethod of depressurization design for runaway
reaction was developed in terms of experiment andsimulation, and furthermore, emergency evacuation
system assuming chemical release was alsodeveloped. This fundamental case study for
implementation in actual plant would be applicable,
and then it is expected widely usage as safetymeasures.

Pervez Saima

Satoshi

Development of Land Use

Nakai

Regression (LUR) model for
Nitrogen Dioxide (NO2) pollutionin Lahore, Pakistan

The purpose of this study was to develop a Land use
regression (LUR) model to provide a better
understanding of air exposure and to depict the spatial
patterns of air pollutants within the city. The land-use
regression model was developed using the average
seasonal concentration of Nitrogen Dioxide (NO2) andconsidering twenty-two potential predictor variables
including road network, land use classification, andlocal specific variables (vehicle maintenanceworkshop, VMW).