The Impact of Urban Trees on Air Pollution in Kirkuk City: A Gaussian Dispersion Model Approach

Ahmed Saeed Salih, Nihad Davut Hassan
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Abstract

The city of Kirkuk is facing a real crisis in increasing air pollution due to the oil facilities and the lack of trees and their uneven distribution, which exacerbated the problem. This study aims to demonstrate the effect (size, type, and distribution) of urban trees on air pollution in Kirkuk, with a focus on simulating the dispersion of pollutants resulting from the oil refinery. using the Gaussian dispersion model. We will assess the role of existing trees in reducing pollution and explore the potential benefits of planting new trees and their role in reducing air pollution. The study's results inform urban tree’s role in reducing air pollution and strategies for integrating them into city planning. The Gaussian model adds scientific rigor, accurately simulating and evaluating pollution distribution. This methodology serves as a strong basis for analyzing tree effects on air pollution in Kirkuk and other urban areas, aiding evidence-based decision-making to improve air quality and public health.
城市树木对基尔库克市空气污染的影响:高斯扩散模型方法
基尔库克市正面临着日益严重的空气污染危机,因为石油设施和树木的缺乏以及树木分布的不均匀加剧了这一问题。本研究旨在展示城市树木对基尔库克空气污染的影响(大小、类型和分布),重点是模拟炼油厂产生的污染物的扩散。采用高斯色散模型。我们会评估现有树木在减少污染方面的作用,并探讨种植新树木的潜在效益及其在减少空气污染方面的作用。该研究的结果为城市树木在减少空气污染方面的作用以及将其纳入城市规划的策略提供了信息。高斯模型增加了科学的严谨性,能准确地模拟和评价污染分布。这一方法是分析树木对基尔库克和其他城市地区空气污染影响的坚实基础,有助于基于证据的决策,以改善空气质量和公众健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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