Application Of Mathematics In Environmental Science Pdf

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Environmental & Mathematical Sciences

Departments and Academic Staff

Department of Environmental and Mathematical Sciences
To improve the quality of life and create an environment in which human beings live in harmony with nature, it is necessary to evaluate the effects of human activities and predict the results under various conditions. To do this, mathematical and statistical models along with computing techniques play essential roles. The main purpose of this department is to be found in the research and education of mathematical and statistical sciences, with an emphasis on their application to environmental problems. The department provides students with fundamental knowledge of mathematics, statistics and computer science, and educates them to be mathematical scientists with special application to environmental analysis.

　Education and Research Field
Applied Mathematics: Recently, applied mathematics has gained growing importance in order to analyze and estimate mathematical models and statistical models for environmental problems. Such fields as discrete optimization and combinatorics, mathematical modeling via algebras, topology and various equations, and the theory of mathematical systems, including linear and nonlinear programming and stochastic algorithm, provide effective theory for solving extensive problems involving traffic affairs, environmental pollution and destruction of ecological systems. The department pursues research and education of applied discrete mathematics, mathematical modeling and system mathematical science, which are applicable to existing problems.

　Mathematics for Environmental Studies: In order to solve our environmental problems, which cover a wide area including ecological systems, weather and ocean, it is effective to quantitize and analyze these systems as mathematical models. Thus development of the technique to construct, apply and estimate the mathematical models is of great importance. The department pursues such researches as mathematical modeling of environmental problems, their analysis by using the theory of mathematical science and computer simulation, and evaluation of validity of the models. The educational policy is to foster specialists of environmental problems who are versed in theory of mathematical science, especially differential equations, and computer simulation.

　Statistics for Environmental Studies: To evaluate quantitatively the effects of human activities on the environment, it is necessary to collect many kinds and large amounts of data and analyze them properly. Cause-effect relationships are not clear in environmental data because usually observed data contain random variations and there exist confounding factors. In order to find proper models under such conditions it is necessary to apply complex statistical models with careful diagnostic checking by using computers. The department offers studies of theory and application of statistical analysis, environmental statistical modeling and statistical computing.

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Staff and Research Projects
Applied Mathematics
Applied Discrete Mathematics
Prof. MORIMOTO Masaharu / Topology by discrete invariants / Graduate school of natural science and technology
Probability Theory
Assoc. Prof. SHIOZAWA Yuichi / Theory of Markov processes / Graduate school of natural science and technology
System Mathematical Science
Prof. IKEHATA Shuichi / Applied algebras and discrete optimization / Graduate school of natural science and
technology
Applied Mathematical Analysis
Assoc. Prof. SASAKI Toru / Analysis of differential equations in mathematical biology / Graduate school of
environmental and life science
Mathematics for Environmental Studies
Mathematical Study for Environmental Science
Prof. KAJIWARA Tsuyoshi / Mathematical models for biological science and applied mathematics / Graduate school of
environmental and life science
Environmental Modeling
Prof. WATANABE Masaji / Mathematical models for environmental problems, theory and analysis of environmental
models, and computational analysis / Graduate school of environmental and life science
Applied Numerical Analysis
Prof. SUITO Hiroshi / Computational techniques for numerical simulation and visualization / Graduate school of
environmental and life science
Statistics for Environmental Studies
Computational Statistics and Biostatistics
Prof. SAKAMOTO Wataru / Statistical modeling and its application to medical and pharmaceutical science /
Graduate school of environmental and life science Mathematical Statistics
Mathematical Statistics
Assoc. Prof. FUEDA Kaoru / Statistical modeling and model evaluation, and analysis of functional data / Graduate
school of environmental and life science
Environmental Statistics
Prof. KURIHARA Koji / Statistical analysis of remote sensing data and statistical expert systems / Graduate school of
environmental and life science
Statistical Analysis