草莓视频iOS

針對工(gong)業園區排(pai)放的(de)(de)大(da)氣污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物組分(fen)具有濃(nong)度(du)(du)較(jiao)高(gao)、成分(fen)復雜、部分(fen)物種同(tong)源(yuan)(yuan)、難溯(su)(su)源(yuan)(yuan)等特點，聚光(guang)開發了一套(tao)高(gao)時(shi)空分(fen)辨率預警(jing)與(yu)溯(su)(su)源(yuan)(yuan)模(mo)(mo)式(shi)(shi)系(xi)(xi)統(tong)(tong)。該模(mo)(mo)式(shi)(shi)系(xi)(xi)統(tong)(tong)實現了不同(tong)尺度(du)(du)氣象(xiang)模(mo)(mo)式(shi)(shi)耦合、氣象(xiang)與(yu)大(da)氣擴散模(mo)(mo)式(shi)(shi)的(de)(de)耦合，當園區需要對歷史污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物的(de)(de)來源(yuan)(yuan)進(jin)行(xing)追溯(su)(su)時(shi)，將(jiang)“重現”溯(su)(su)源(yuan)(yuan)時(shi)段(duan)園區高(gao)精度(du)(du)氣象(xiang)流(liu)場，分(fen)析出(chu)污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物傳輸路徑，同(tong)時(shi)結合企(qi)業污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物排(pai)放特征、排(pai)放量(liang)和活動工(gong)況等參數，最(zui)終篩(shai)查出(chu)該時(shi)段(duan)排(pai)放此污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物的(de)(de)可(ke)疑企(qi)業。且該系(xi)(xi)統(tong)(tong)可(ke)獲取了園區污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)監測(ce)數據(ju)，實現了超(chao)標污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物的(de)(de)快(kuai)速(su)報(bao)警(jing)，并(bing)能(neng)(neng)“預測(ce)”出(chu)未來預報(bao)時(shi)段(duan)園區高(gao)精度(du)(du)氣象(xiang)流(liu)場，模(mo)(mo)擬園區污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物的(de)(de)擴散分(fen)布情況，輔助(zhu)園區管理部門提(ti)前對有可(ke)能(neng)(neng)產生污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)進(jin)行(xing)防范(fan)。