With　the　continuous　progress　and　development　of　society,　the　enthusiasm　of　the　whole　people　to　participate　in　sports　and　fitness　is　getting　higher　and　higher.　The　outdoor　environment　is　a　multi-level　organic　whole　composed　of　many　natural　and　social　factors,　and　it　is　an　important　symbol　of　showing　modem　ecological　competitiveness.　The　relationship　between　sports　and　the　environment　and　the　impact　of　environmental　changes　on　human　life　are　overall　and　long-term.　This　research　aims　to　reveal　the　long-term　change　characteristics　of　PM2.5　and　its　main　component　concentration　through　long-term　online　observation　of　PM2.5　in　a　certain　area,　supplemented　by　offline　encrypted　sampling,　and　to　explore　the　chemical　composition　of　PM2.5　during　haze　and　non-haze　periods.　We　discuss　the　pollution　characteristics　of　secondary　components　and　the　seasonal　differences　of　causes　during　heavy　pollution,　analyze　the　main　pollution　sources　of　PM2.5　in　winter　and　their　contributions,　and　provide　theoretical　support　for　formulating　effective　PM2.5　pollution　control　strategies.　The　frequency　of　acute　attacks　of　male　and　female　airway　inflammation　patients　under　haze　exposure　was　similar,　and　the　difference　was　not　statistically　significant　(P＞0.05).　The　frequency　of　acute　attacks　of　airway　inflammation　patients　＞=　40　years　old　under　haze　exposure　was　significantly　higher　than　that　of　patients　with　airway　inflammation　under　40　years　old,　and　the　difference　was　statistically　significant　(P　＜　0.05).　The　peaks　of　PM2.5　in　spring,　summer,　autumn　and　winter　are　400ug/m(3),　488ug/m(3),　416ug/m(3),　424ug/m(3).　There　are　differences　between　the　average　PM2.5　value　of　each　month　and　the　average　PM2.5　value　of　heavy　haze　days,　and　the　difference　is　statistically　significant　(P＜0.05).　There　are　differences　in　the　acute　onset　rate　of　airway　inflammation　in　spring,　summer,　autumn　and　winter,　and　the　difference　is　statistically　significant　(P＜0.05).　Under　different　PM2.5　exposure　levels,　there　were　differences　in　the　levels　of　IL-13　and　IL-17　in　patients　with　airway　inflammation　in　each　season,　and　the　difference　was　statistically　significant　(P＜0.05).　Under　different　PM2.5　exposure　levels,　there　were　differences　in　FEV1%pred,　PEF%pred,　Fe　NO,　and　ACT　scores　in　each　season,　and　the　differences　were　statistically　significant　(P＜0.05).　Under　different　PM2.5　exposure　levels,　there　are　differences　in　the　control　level　and　severity　of　airway　inflammation　in　patients　with　airway　inflammation　in　each　season,　and　the　difference　is　statistically　significant　(P＜0.05).