Accession Number : ADA264223


Title :   Environmental Studies: Mathematical, Computational and Statistical Analyses


Descriptive Note : Final rept. 1 Jul-31 Dec 1992


Corporate Author : MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS APPLICATIONS


Personal Author(s) : Friedman, Avner ; Miller, Jr, Willard


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a264223.pdf


Report Date : 03 Mar 1993


Pagination or Media Count : 34


Abstract : As we enter the final decade of the twentieth century, environmental protection has become a universal issue with world-wide support. Destruction of the stratospheric ozone-layer, global increase in carbon dioxide and other radiatively important trace gases, acid rain, urban smog 'water pollution of various types, and improper disposal of toxic wastes have all been shown as pressing problems for the 1990's. Environmental studies have now bridged the realms of academic research and societal applications. Mathematical modelling and large-scale data collection and analysis lie at the core of all environmental studies. Examples of such issues are the protection of the ozone- layer, climate change, regional and urban pollution, toxic waste disposal and water pollution. While each of these environmental problems involves extremely complex interplay of many physical, chemical and even human interactions, mathematical analysis serves as the single unifying foundation. Because of the well-recognized highly intensive and perturbing impact of direct environmental experiments, computational models become the prevalent tool in identifying, assessing and resolving these problems. Unfortunately, scientists, mathematicians, and engineers immersed in developing and applying environmental models, computational methods, statistical techniques and computational hardware advance with separate and often discordant paces. The Summer Program on Mathematical, Computational and Statistical Analyses in Environmental Studies was designed to provide a much needed interdisciplinary forum for joint exploration of recent advances in the formulation and application of (A) environmental models, (B) environmental data and data assimilation, (C) stochastic modeling and optimization, and (D) Global climate modeling.


Descriptors :   *MATHEMATICAL MODELS , *STATISTICAL ANALYSIS , *ENVIRONMENTAL PROTECTION , CLOUDS , SCATTERING , GLOBAL , SYMPOSIA , OPTIMIZATION , STOCHASTIC PROCESSES , AEROSOLS , CORES , IMPACT , HUMANS , INTERACTIONS , TOOLS , CHEMICALS , DYNAMICS , LAYERS , PARAMETERS , INVERSE SCATTERING , QUANTITY , WATER , FORMULATIONS , THEORY , DESTRUCTION , STATISTICS , TIME SERIES ANALYSIS , CARBON , ACID DEPOSITION , DIOXIDES , TRACE GASES , SCIENTISTS , ACIDS , SUMMER , WORKSHOPS , CLOUD PHYSICS , OZONE LAYER , SMOG , ATMOSPHERICS , OZONE , POLLUTION , ASSIMILATION , CARBON DIOXIDE , DISPOSAL , EQUATIONS , WASTE DISPOSAL , WASTES , STATISTICAL SAMPLES , TIME , IDENTIFICATION , CHEMISTRY , WATER POLLUTION , PARTICLES , RAIN , PHYSICS , SCALE , MATHEMATICAL ANALYSIS , CLIMATE , PROTECTION , MEDIA , ENGINEERS , FLOW , KINETICS


Subject Categories : Operations Research
      Environmental Health and Safety


Distribution Statement : APPROVED FOR PUBLIC RELEASE