Many significant dust storms have occurred in the Central part of Iran since ancient times. Recently, the frequency and intensity of such events have increased remarkably, especially in hyper-arid and arid zones of Yazd province. Under these conditions, it is necessary to address several notable challenges, including methods of detecting the potential sites for wind erosion and dust storms and degree of success in reducing air pollution and dust storms. Thus, this study utilized weather codes of dust to monitor wind erosion and dust storm frequency in Yazd province, Iran. The study also defined a new appropriate index to evaluate air pollution in terms of different dust events. A new dust storm index for air pollution (PDSI) introduces to monitor air pollution. Daily dust storm index (DSI) is another empirical model to study dust storm activities. Weather codes associated with dust events were used at 11 synoptic stations in the Yazd province during 2000–2017. PDSI assessment using meteorological code 06 and hourly scale is used as the main tools for evaluating air pollution. Evaluation of dust weather codes using different weights performed to properly analyze wind erosion and air pollution status at different spatial and temporal scales. Yazd station had the highest amount of air pollution (105.9). Meybod had the highest amount of wind erosion (9.76) with a significant potential to occur dust storm. Assessment of the DSI and PDSI indicates a significant increase (about ten times) in wind erosion and air pollution in recent years. Poor land management and the existence of outdoor dust haze are the main causes of the terrible increase in air pollution during 2008–2017. It is recommended to promote sustainable industrial development and reduce the negative impacts of mining activities in regions with medium to severe air pollution.

自古代以来，在伊朗中部发生了许多重大的沙尘暴。最近，此类事件的频率和强度显着增加，尤其是在亚兹德省的高干旱和干旱地区。在这些条件下，有必要解决几个显着的挑战，包括检测潜在的风蚀和沙尘暴地点的方法以及减少空气污染和沙尘暴的成功程度。因此，本研究利用尘埃天气代码来监测伊朗亚兹德省的风蚀和沙尘暴频率。该研究还定义了一个新的适当指数，以根据不同的尘埃事件评估空气污染。引入了新的空气污染沙尘暴指数（PDSI）来监视空气污染。每日沙尘暴指数（DSI）是研究沙尘暴活动的另一种经验模型。2000-2017年期间，亚兹德省的11个天气观测站使用了与沙尘事件相关的天气代码。使用气象代码06和小时刻度进行的PDSI评估被用作评估空气污染的主要工具。使用不同的权重评估沙尘天气代码，以正确分析不同时空尺度上的风蚀和空气污染状况。亚兹德站的空气污染量最高（105.9）。Meybod的风蚀量最大（9.76），极有可能发生沙尘暴。对DSI和PDSI的评估表明，近年来风蚀和空气污染显着增加（大约十倍）。土地管理不善和室外尘埃雾霾的存在是造成2008-2017年空气污染急剧增加的主要原因。