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針對(dui)工(gong)(gong)業(ye)園(yuan)區(qu)(qu)排(pai)(pai)(pai)放的(de)大氣(qi)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)組(zu)分(fen)具有濃(nong)度較高、成分(fen)復雜(za)、部分(fen)物(wu)(wu)種同(tong)源(yuan)(yuan)、難(nan)溯(su)源(yuan)(yuan)等特(te)點,聚(ju)光開(kai)發了一(yi)套高時空分(fen)辨率預(yu)警(jing)與溯(su)源(yuan)(yuan)模(mo)式系(xi)統。該模(mo)式系(xi)統實(shi)現了不(bu)同(tong)尺(chi)度氣(qi)象(xiang)模(mo)式耦(ou)合(he)、氣(qi)象(xiang)與大氣(qi)擴散模(mo)式的(de)耦(ou)合(he),當園(yuan)區(qu)(qu)需要對(dui)歷史污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)的(de)來源(yuan)(yuan)進行(xing)追溯(su)時,將“重現”溯(su)源(yuan)(yuan)時段(duan)園(yuan)區(qu)(qu)高精度氣(qi)象(xiang)流場,分(fen)析出污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)傳輸(shu)路徑,同(tong)時結(jie)合(he)企業(ye)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)排(pai)(pai)(pai)放特(te)征、排(pai)(pai)(pai)放量和活(huo)動工(gong)(gong)況(kuang)等參數,最終篩查出該時段(duan)排(pai)(pai)(pai)放此污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)的(de)可疑企業(ye)。且該系(xi)統可獲取了園(yuan)區(qu)(qu)污(wu)(wu)(wu)(wu)染(ran)(ran)監測(ce)數據,實(shi)現了超標污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)的(de)快(kuai)速報(bao)警(jing),并(bing)能“預(yu)測(ce)”出未來預(yu)報(bao)時段(duan)園(yuan)區(qu)(qu)高精度氣(qi)象(xiang)流場,模(mo)擬園(yuan)區(qu)(qu)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)的(de)擴散分(fen)布情況(kuang),輔助園(yuan)區(qu)(qu)管(guan)理部門提前對(dui)有可能產生污(wu)(wu)(wu)(wu)染(ran)(ran)進行(xing)防(fang)范。
污(wu)(wu)染源(yuan)在線監(jian)(jian)控(kong)系(xi)統(tong)通過對污(wu)(wu)染排(pai)放(fang)數(shu)據的(de)采集,利用數(shu)據有(you)效性(xing)審核機制對監(jian)(jian)測數(shu)據進行審核, 為環境監(jian)(jian)察部(bu)門提(ti)供真實有(you)效的(de)監(jian)(jian)測數(shu)據,幫助環境監(jian)(jian)察部(bu)門實時掌(zhang)握污(wu)(wu)染排(pai)放(fang)狀(zhuang)況,約束企業的(de)違(wei)法、違(wei)規排(pai)污(wu)(wu)行為,為污(wu)(wu)染減(jian)排(pai)和總量(liang)控(kong)制提(ti)供數(shu)據支撐。