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Distribution modeling of hazardous airborne emissions from industrial campuses in Iraq via GIS techniques

机译:伊拉克工业校区危险机载排放的分布模型通过GIS技术

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The presence of considerable amounts of hazardous elements in air may represent prolonged lethal effects for the residential and/or commercial campuses and activities, especially those around the emission activities, hence it is so important to monitor and anticipate these concentrations and design an effective spatial forecasting models for that sake. Geographic information systems GIS were utilized to monitor, analyze and model the presence and concentrations for airborne Pb, Cr, and Zn elements in the atmosphere around certain industrial campuses at the northern part of Iraq. Diffusion patterns were determined for these elements via the adaptation of GIS extension; the geostatistical and spatial analysis that implement Kriging and inverse distance weighted (IDW) methods to interpolate a raster surface. The main determination factors like wind speed, ambient temperature and topographic distributions were considered in order to design a prediction model that serves as early alert of future possible accidents. Results of eight months observation program have proved that the concentrations of the three elements had significantly exceeded the Iraqi and WHO limits at most of the observed locations especially for summer times. Also, the predicted models were validated with the field measures and have proved close match especially for the geostatistical analysis map that had around 4% percentage error for the three tested elements.
机译:空气中有相当大量的危险因素的存在可能代表住宅和/或商业校区和活动,特别是围绕排放活动的活动,因此监测和预测这些浓度并设计有效的空间预测是如此重要那个缘故的模型。地理信息系统GIS用于监测,分析和模拟空中PB,CR和ZN元素在伊拉克北部的某些工业校园内的大气中的存在和浓度。通过GIS延伸的适应来确定这些元件的扩散模式;实现Kriging和逆距离加权(IDW)方法的地统计和空间分析来插入光栅表面。考虑了风速,环境温度和地形分布等主要的确定因素,以设计一种用于未来可能事故的早期警报的预测模型。结果八个月的观察计划证明,三个要素的浓度显着超过了伊拉克,特别是夏季时代的大多数观察到的地点限制。此外,预测模型验证了现场测量,并证明了尤其是对于三个测试元素的百分比误差约为4%百分比误差的地质统计分析图。

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