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Titlebook: Indicators of Environmental Quality; Proceedings of a sym William A. Thomas (Group Leader) Conference proceedings 1972 Springer Science+Bus

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發(fā)表于 2025-3-21 18:48:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Indicators of Environmental Quality
副標(biāo)題Proceedings of a sym
編輯William A. Thomas (Group Leader)
視頻videohttp://file.papertrans.cn/464/463581/463581.mp4
叢書名稱Environmental Science Research
圖書封面Titlebook: Indicators of Environmental Quality; Proceedings of a sym William A. Thomas (Group Leader) Conference proceedings 1972 Springer Science+Bus
描述Researchers and agencies collect reams of objective data and authors publish volumes of subjective prose in attempts to explain what is meant by environmental quality. Still, we have no universally recognized methods for combining our quantitative measures with our qualitative concepts of environ- ment. Not all of our environmental goals should be reduced to mere numbers, but many of them can be; and without these quantitative terms, we have no way of defining our present position nor of selecting positions we wish to attain on any logically established scale of environmental values. Stated simply, in our zeal to measure our environment we often forget that masses of numbers describing a system are insufficient to understand it or to be used in selecting goals and priorities for expending our economic and human resources. Attempts at quantitatively describing environmental quality, rather than merely measuring different environmental variables, are relatively recent. This condensing of data into the optimum number of terms with maximum information content is a truly interdisciplinary challenge. When Oak Ridge National Laboratory initiated its Environmental Program in early 1970 und
出版日期Conference proceedings 1972
關(guān)鍵詞development; ecology; environment; environmental pollution; formation; research; soil
版次1
doihttps://doi.org/10.1007/978-1-4684-2856-8
isbn_softcover978-1-4684-2858-2
isbn_ebook978-1-4684-2856-8
copyrightSpringer Science+Business Media New York 1972
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Biochemical Indicators of Environmental Pollution,mulative effects over a period of time or over some spatial area; but their primary advantage is that the bio-indicator directly measures the property that we are really interested in — is there something in the air or water that is harmful to life?
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Ruth Patrick depict the improvements of Random Forest in terms of computational time and memory without affecting the efficiency of the traditional Random Forest. Experimental results show that the proposed RRF outperforms with others in terms of memory utilization and computation time.
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Trygg Engenf load balancing is to minimize response time, cost, and maximize throughput. In the past decades, researchers have proposed different methodologies in order to resolve this issue. However, different load balancing parameters are yet to be optimized. This survey paper presents a comprehensive and co
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