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IRS-1C LISS III land cover maps at different spatial resolutions used in real-time accidental air pollution deposition modelling

机译:IRS-1C LISS III土地覆盖图,用于不同的空间分辨率,用于实时意外空气污染沉积模型

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摘要

Remote-sensing scenes can provide information highly useful for real-time modelling of the atmospheric deposition in the case of an accidental nuclear release. Accurate prediction of spatial patterns in the deposition is vital to establish countermeasures to avoid unnecessary exposure of the public. This is demonstrated by a hypothesised case for a nuclear power plant in Lithuania. From classification analysis a number of land cover classes are mapped in an LRS-IC LISS III scene. The roughness of each land cover class is assigned and used as input to a real-time dispersion model. Calculation results with input of a high-resolution roughness map provide the most realistic deposition pattern. A scare analysis of degrading the land cover map into lower resolutions is performed. The atmospheric deposition model results based on lower resolution roughness maps are compared and evaluated by the so-called Dose Isopleth Correlation Area (DICA) method. The recommendation is that a l-km resolution is adequate for real-time deposition modelling. Furthermore, the land cover mapping should be performed with care. Temporal variations in roughness at a seasonal time scale should be considered. (C) 2001 Elsevier Science Inc. All rights reserved. [References: 43]
机译:遥感场景可以为意外核泄漏情况下的大气沉积实时建模提供非常有用的信息。准确预测沉积物中的空间格局对于建立对策以避免公众不必要的曝光至关重要。立陶宛一家核电厂的假设案例证明了这一点。通过分类分析,在LRS-IC LISS III场景中绘制了许多土地覆盖类别。分配每个土地覆盖类别的粗糙度并将其用作实时色散模型的输入。输入高分辨率粗糙度图的计算结果可提供最真实的沉积图案。进行了将土地覆盖图降低为较低分辨率的恐吓分析。基于较低分辨率粗糙度图的大气沉积模型结果将通过所谓的剂量等值相关面积(DICA)方法进行比较和评估。建议对于实时沉积建模,1 km的分辨率已足够。此外,土地覆盖图的绘制应谨慎进行。应考虑季节性时间尺度上粗糙度的时间变化。 (C)2001 Elsevier Science Inc.保留所有权利。 [参考:43]

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