沙尘暴是一种风与沙相互作用的灾害性天气现象，甘肃河西走廊地区由于独特的地理环境，干旱明显，存在大面积沙漠和戈壁，是沙尘暴频繁发生的地区。沙尘暴天气除可导致自然灾害外，还可引发各种疾病。以往的研究主要集中于颗粒物对呼吸系统的影响，但与此同时颗粒物对心血管系统的影响及其机理人们了解甚少。近年来缺血性心脏病发病率和病死率呈快速攀升趋势。有研究表明，该病的诱因可能与沙尘颗粒物有关。.本课题通过流行病学方法，研究甘肃河西走廊地区(敦煌市、酒泉市、张掖市、金昌市、武威市)沙尘暴天气发作与当地居民缺血性心脏病发作及死亡的规律，分析两者之间的相关性，同时检测沙尘颗粒的理化性质，分析不同浓度的沙尘颗粒导致缺血性心脏病发生和死亡的阈值，采用分子生物学及细胞学方法阐明沙尘对缺血性心脏病的作用影响及其机制，以期为当地政府机构制定预防心血管疾病的卫生政策以及应用气象因素对心血管疾病的发病进行预测预报提供科学依据。

Sandstorms is a kind of calamity weather interacted by both winds and sands. Due to the unique geographical environment, drought significantly, large area of desert and Gobi, Hexi Corridor of Gansu Province is one of the most seriously decertified area in China. Sandstorm hazard in Hexi Region has greatly leaded to natural disasters，it also can cause a variety of diseases. Previous studies focused mainly on the influence of particles on the respiratory system, but the impact of sand dust particles on the cardiovascular system and its mechanism for people which we understand little. In recent years, the prevalence rate and mortality rate of ischemic heart disease present the fast rising trend. Studies have shown that the risk factors of the disease may be associated with sand dust particles..The aim of this research is to study the relationship between sandstorm weather and attack and death of ischemic heart disease of local residents who live in Gansu Hexi Corridor (Dunhuang city, Jiuquan city, Zhangye city, Jinchang city, Wuwei city) and analyze the regulation of them through epidemiological methods. We also detect the physicochemical properties of dust particles, explore the threshold of attack and death of ischemic heart disease result from the dust particles of different concentration through establishing animal models. By cytological and molecular methods, researches can be conducted to clarify the effect of sand dust on ischemic heart disease and its mechanism. Therefore, the result of this study can provide scientific basis for policy making of cardiovascular disease prevention and application of meteorological factors to predict the incidence of cardiovascular disease in local government agencies.