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Titlebook: Quantitative Methods for Current Environmental Issues; Clive W. Anderson,Vic Barnett,Abdel H. El-Shaarawi Conference proceedings 2002 Spri

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發(fā)表于 2025-3-25 05:11:27 | 只看該作者
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H. Wackernagel,L. Bertino,J. P. Sierra,J. González del Río
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發(fā)表于 2025-3-25 13:39:36 | 只看該作者
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發(fā)表于 2025-3-25 16:12:51 | 只看該作者
Quantitative Methods for Current Environmental Issues
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發(fā)表于 2025-3-25 22:28:18 | 只看該作者
Quantitative Methods for Current Environmental Issues978-1-4471-0657-9
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發(fā)表于 2025-3-26 02:22:37 | 只看該作者
Modeling Spatio-Temporally Misaligned Areal and Point Process Environmental Datal . (COSP), where we seek to make inferences about the values of a variable at either points . regions different from those at which it has been observed. Next, we apply our COSP approach to the . case, and show that the additional computational burden to analyze the correspondingly larger data set
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發(fā)表于 2025-3-26 04:45:43 | 只看該作者
Setting Environmental Standards: A Statistical Approachimple pollutant distribution, developing SVISs from various standpoints within a hypothesis-testing framework. We consider a .(BLUQE) for use in the compliance assessment of a SVIS and describe an approximate significance testing procedure using simulated critical values. Finally, we develop a SVIS
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發(fā)表于 2025-3-26 12:07:42 | 只看該作者
Thermal Energy Emission and Propagation from Accidentscident..The model calculates the energy re-emitted by the ground using a diffusion equation in one or two spatial dimensions. The space-time distribution of temperature, assuming the ground thickness is infinite both in depth and in extension, is estimated. The model is applied under different scena
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發(fā)表于 2025-3-26 19:51:04 | 只看該作者
Uncertainty and Sensitivity of Dispersion Model Results to Meteorological Inputs: Two Case Studiesin the choices of (i) the input raw meteorological data and (ii) the two diagnostic wind field models in H.. Overall, the performance of C. and H. (the base case) was comparable. V. tended to overpredict and had a larger scatter. For example, for the maximum dosage along a sampling line, the fractio
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