Environmental dredging residual generation and management

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چکیده

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منابع مشابه

The Four Rs of Environmental Dredging: Resuspension, Release, Residual, and Risk, January 2008

A workshop sponsored by the U.S. Army Corps of Engineers and the U.S. Environmental Protection Agency was held at the U.S. Army Engineer Research and Development Center, Waterways Experiment Station, in Vicksburg, MS, in April of 2006. Fifty experts from government, the private sector, and academia participated in the workshop, which focused on four issues (the four Rs) relevant to environmenta...

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ERDC/EL TR-08-4, The Four Rs of Environmental Dredging: Resuspension, Release, Residual, and Risk

A workshop sponsored by the U.S. Army Corps of Engineers and the U.S. Environmental Protection Agency was held at the U.S. Army Engineer Research and Development Center, Waterways Experiment Station, in Vicksburg, MS, in April of 2006. Fifty experts from government, the private sector, and academia participated in the workshop, which focused on four issues (the four Rs) relevant to environmenta...

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Data Dredging

Suppose there is a given data set and there are a huge number of hypotheses [1] about this data set [2]. If the data is totally random, then say all the hypotheses are actually false. However, owing to the sheer number of hypotheses on a limited data set, it is possible to see some very highly correlated [3] data that are statistically significant [4]. In such cases, data dredging is said to ha...

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Data Dredging

Suppose there is a given data set and there are a huge number of hypotheses [1] about this data set [2]. If the data is totally random, then say all the hypotheses are actually false. However, owing to the sheer number of hypotheses on a limited data set, it is possible to see some very highly correlated [3] data that are statistically significant [4]. In such cases, data dredging is said to ha...

متن کامل

Data Dredging

Suppose there is a given data set and there are a huge number of hypotheses [1] about this data set [2]. If the data is totally random, then say all the hypotheses are actually false. However, owing to the sheer number of hypotheses on a limited data set, it is possible to see some very highly correlated [3] data that are statistically significant [4]. In such cases, data dredging is said to ha...

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ژورنال

عنوان ژورنال: Integrated Environmental Assessment and Management

سال: 2018

ISSN: 1551-3777

DOI: 10.1002/ieam.4032