Green roofs are environmentally-friendly architectural solutions that contribute to air quality improvement, especially in an air-polluted metropolis like Tehran, where space is scarce and expensive. At present, there are different types of green roofs available, with the intensive, semi-intensive, and extensive the most feasible for urban settlements. This project aims to develop a new model to find the most suitable green roof to reduce air pollution in cities. To achieve this, after an initial study of strengths, weaknesses, opportunities, and threats, this study combines the agile multi-criteria decision-making method MIVES with an analytic hierarchy process and sensitivity analysis. This new model has successfully evaluated the suitability of the aforementioned three alternatives in Tehran's residential buildings. This assessment confirmed that this new approach can assist urban managers, architects, and constructors in selecting the most adequate green roof solution to contribute to improving air quality in cities. Nevertheless, all three evaluated solutions require improvement in terms of sustainability. This article recommends, for this specific case study, the application of an optimized version of the semi-intensive alternative by replacing its most expensive and large embodied energy components with eco-efficient and cost-effective materials, such as bio-waste and recycled materials.

绿色屋顶是一种环保的建筑解决方案，可改善空气质量，尤其是在像德黑兰这样空气污染稀少且价格昂贵的大都市。当前，有各种类型的绿化屋顶可用，其中密集型，半密集型和粗化型最适合城市居住区。该项目旨在开发一种新模型，以找到最合适的绿色屋顶来减少城市的空气污染。为此，在对优势，劣势，机会和威胁进行了初步研究之后，本研究将敏捷多准则决策方法MIVES与层次分析法和敏感性分析相结合。这个新模型已经成功地评估了上述三种替代方案在德黑兰居民住宅中的适用性。该评估证实，这种新方法可以帮助城市管理人员，建筑师和建筑商选择最合适的绿色屋顶解决方案，以改善城市的空气质量。但是，所有这三种评估解决方案都需要在可持续性方面进行改进。对于此特定案例研究，本文建议通过使用生态高效且具有成本效益的材料（例如生物废料和再生材料）代替半精实替代方案的最昂贵和最大体现的能源组件，来优化版本的应用。