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中國環境報報道 | 協同管控 快速實現空氣質量達標改善
聚光 發布時間:2022-01-14 聚光 來源: 聚光 瀏覽量:1730

  來源:中國(guo)環境報(bao)第8版

  2020年(nian)(nian)(nian)中央經(jing)濟工作(zuo)會議明(ming)確提(ti)出,打好(hao)污(wu)(wu)染(ran)(ran)(ran)(ran)(ran)防治(zhi)(zhi)攻堅戰,堅持(chi)方向不(bu)變、力度(du)不(bu)減,突出精準治(zhi)(zhi)污(wu)(wu)、科學治(zhi)(zhi)污(wu)(wu)、依法治(zhi)(zhi)污(wu)(wu),推(tui)動生態環(huan)(huan)(huan)境(jing)質量(liang)(liang)持(chi)續好(hao)轉。近(jin)年(nian)(nian)(nian)來(lai)大氣(qi)(qi)污(wu)(wu)染(ran)(ran)(ran)(ran)(ran)治(zhi)(zhi)理成(cheng)(cheng)效(xiao)顯著(zhu),環(huan)(huan)(huan)境(jing)空氣(qi)(qi)質量(liang)(liang)明(ming)顯改善,細(xi)顆(ke)粒物濃(nong)(nong)度(du)明(ming)顯下降,重(zhong)(zhong)污(wu)(wu)染(ran)(ran)(ran)(ran)(ran)天氣(qi)(qi)明(ming)顯減少。但臭(chou)氧污(wu)(wu)染(ran)(ran)(ran)(ran)(ran)問(wen)題逐步顯現,濃(nong)(nong)度(du)呈逐年(nian)(nian)(nian)上升態勢,成(cheng)(cheng)為影(ying)響(xiang)環(huan)(huan)(huan)境(jing)空氣(qi)(qi)質量(liang)(liang)的又一重(zhong)(zhong)要污(wu)(wu)染(ran)(ran)(ran)(ran)(ran)物,加強(qiang)細(xi)顆(ke)粒物和臭(chou)氧協同控制(zhi)成(cheng)(cheng)為改善環(huan)(huan)(huan)境(jing)空氣(qi)(qi)質量(liang)(liang)的關鍵。大氣(qi)(qi)污(wu)(wu)染(ran)(ran)(ran)(ran)(ran)防治(zhi)(zhi)工作(zuo)的艱巨性和復雜性,亟需監測科技力量(liang)(liang)的支持(chi)。聚光(guang)(guang)科技(杭州)股份有限(xian)公司(si)(si)(以下簡稱“聚光(guang)(guang)科技”)成(cheng)(cheng)立于2002年(nian)(nian)(nian),經(jing)過近(jin)20年(nian)(nian)(nian)的發(fa)(fa)展,現已成(cheng)(cheng)為國內高端分(fen)析儀(yi)器儀(yi)表(biao)領(ling)軍企業,其自主研發(fa)(fa)的全(quan)流程監測設備(bei)技術(shu)成(cheng)(cheng)熟,已廣泛(fan)應用(yong)于眾多國家級/省級重(zhong)(zhong)點項目(mu)建設。通過多年(nian)(nian)(nian)技術(shu)研發(fa)(fa),公司(si)(si)目(mu)前取(qu)得專利800余項,計(ji)算機軟件著(zhu)作(zuo)權300余項,主持(chi)或參與標準制(zhi)定70余項,累計(ji)承擔(dan)國家和地方科技計(ji)劃項目(mu)100余項。


 強化多污染物協同管控 

  針(zhen)對大(da)氣(qi)(qi)復(fu)合污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)日益突(tu)出(chu)的問題,聚(ju)光科技準(zhun)確分(fen)(fen)(fen)析(xi)大(da)氣(qi)(qi)復(fu)合污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)成(cheng)(cheng)(cheng)因,強(qiang)化(hua)多(duo)污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物(wu)(wu)協(xie)(xie)同(tong)(tong)管(guan)(guan)(guan)控,落實污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)源(yuan)治理任務(wu),加(jia)快(kuai)實現(xian)(xian)(xian)環(huan)境(jing)空(kong)(kong)氣(qi)(qi)質量(liang)改善,其《環(huan)境(jing)空(kong)(kong)氣(qi)(qi)質量(liang)達標管(guan)(guan)(guan)控服務(wu)方案》通過(guo)當地基礎數據分(fen)(fen)(fen)析(xi),建(jian)立污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)成(cheng)(cheng)(cheng)因案例庫,掌握污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物(wu)(wu)歷(li)史(shi)變化(hua)規律,指導多(duo)污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物(wu)(wu)的日常協(xie)(xie)同(tong)(tong)管(guan)(guan)(guan)控與(yu)重污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)應(ying)急。采(cai)用細顆粒物(wu)(wu)(PM2.5)、可吸入顆粒物(wu)(wu)(PM10)、臭氧(O3)、二(er)氧化(hua)硫(SO2)、二(er)氧化(hua)氮(NO2)、一(yi)(yi)氧化(hua)碳(CO)、揮發性(xing)有(you)機(ji)(ji)物(wu)(wu)(VOCs)、甲(jia)醛(HCOH)、過(guo)氧乙酰(xian)硝酸酯(PANs)、光解速率等(deng)多(duo)因子、全流(liu)程(cheng)協(xie)(xie)同(tong)(tong)走航(hang)監(jian)測技術(shu)與(yu)激光雷達掃描技術(shu),開展重點(dian)(dian)地區走航(hang)摸排,快(kuai)速掌握區域(yu)污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物(wu)(wu)濃度(du)與(yu)污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)源(yuan)時(shi)(shi)(shi)空(kong)(kong)分(fen)(fen)(fen)布狀況,識別熱(re)點(dian)(dian)管(guan)(guan)(guan)控區域(yu)與(yu)時(shi)(shi)(shi)段;進一(yi)(yi)步結合車載顆粒物(wu)(wu)來源(yuan)解析(xi)、臭氧光化(hua)學污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)綜合監(jian)測系(xi)統(tong),源(yuan)排放清(qing)單及空(kong)(kong)氣(qi)(qi)質量(liang)模擬(ni)技術(shu),分(fen)(fen)(fen)析(xi)各(ge)(ge)項污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)成(cheng)(cheng)(cheng)因與(yu)生成(cheng)(cheng)(cheng)機(ji)(ji)制(zhi)(zhi),識別主要污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)源(yuan)類(lei),定量(liang)評估一(yi)(yi)次、二(er)次污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)貢(gong)獻,識別重點(dian)(dian)管(guan)(guan)(guan)控行業(ye),為(wei)從時(shi)(shi)(shi)、空(kong)(kong)、物(wu)(wu)各(ge)(ge)角度(du)制(zhi)(zhi)定差異化(hua)協(xie)(xie)同(tong)(tong)管(guan)(guan)(guan)控策略,提供決(jue)策支撐。依托多(duo)元(yuan)數據分(fen)(fen)(fen)析(xi)成(cheng)(cheng)(cheng)果及相關工作流(liu)程(cheng)與(yu)機(ji)(ji)制(zhi)(zhi)構建(jian)測管(guan)(guan)(guan)治一(yi)(yi)體(ti)化(hua)達標管(guan)(guan)(guan)控服務(wu)體(ti)系(xi),可根據區域(yu)、點(dian)(dian)位(wei)差異性(xing),形成(cheng)(cheng)(cheng)日常與(yu)重污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)分(fen)(fen)(fen)級(ji)管(guan)(guan)(guan)控策略,保障(zhang)重點(dian)(dian)區域(yu)空(kong)(kong)氣(qi)(qi)質量(liang);針(zhen)對各(ge)(ge)類(lei)污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)源(yuan)形成(cheng)(cheng)(cheng)行業(ye)管(guan)(guan)(guan)理、治理體(ti)系(xi),落實污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)源(yuan)管(guan)(guan)(guan)治任務(wu),協(xie)(xie)同(tong)(tong)減(jian)少污(wu)(wu)(wu)染(ran)(ran)(ran)(ran)物(wu)(wu)排放;并多(duo)維度(du)量(liang)化(hua)評估管(guan)(guan)(guan)控效(xiao)果,確保及時(shi)(shi)(shi)發現(xian)(xian)(xian)問題,精準(zhun)定位(wei)問題,有(you)效(xiao)解決(jue)問題,實現(xian)(xian)(xian)環(huan)境(jing)空(kong)(kong)氣(qi)(qi)質量(liang)協(xie)(xie)同(tong)(tong)管(guan)(guan)(guan)控,助力環(huan)境(jing)空(kong)(kong)氣(qi)(qi)質量(liang)持續改善。

  《環境空(kong)氣質量達(da)(da)標管控服務方案》已在海南省(sheng)、宿州市(shi)(shi)、武威市(shi)(shi)、徐州市(shi)(shi)、聊(liao)城市(shi)(shi)、宜昌(chang)市(shi)(shi)等多(duo)個省(sheng)市(shi)(shi)區進行(xing)了應用,并取得顯著效(xiao)果。方案配置的(de)核(he)心在線監(jian)測設備(bei)均為公司自(zi)產設備(bei),各(ge)項(xiang)技術指標均達(da)(da)到國內領先水平,可為大(da)氣污染防治提供精準數(shu)據(ju)支撐。




 

  管控提升空氣質量排名 

  2017年(nian),聚光(guang)科技在(zai)歷史(shi)數(shu)據研判分析基礎上(shang),采用空氣質(zhi)量走航(hang)監測車、激光(guang)雷達監測車等(deng)技術(shu)(shu)對宿州市顆粒物的(de)整體污染(ran)特(te)征進行了摸排(pai)分析,并(bing)制(zhi)定了管(guan)控策略。2018年(nian)-2019年(nian),通過在(zai)當地(di)組(zu)建(jian)技術(shu)(shu)組(zu)、走航(hang)巡查組(zu)等(deng)專業團隊(dui),建(jian)立(li)網格(ge)分級、部門(men)聯動(dong)、污染(ran)巡查等(deng)機制(zhi),并(bing)提(ti)供動(dong)態(tai)研判分析、污染(ran)巡查處(chu)置、敏(min)感(gan)點防控策略以及工地(di)揚(yang)塵、散煤、餐飲油煙等(deng)污染(ran)源專項管(guan)控服務,逐步降低PM2.5濃度,提(ti)升(sheng)空氣質(zhi)量排(pai)名(ming)。

  2018年宿州市PM2.5濃(nong)度(du)明顯下(xia)降(jiang),擺脫(tuo)倒(dao)一,下(xia)降(jiang)率全省第3(-17.71%)。

  2019年(nian)宿(su)州市(shi)PM2.5濃(nong)度明顯(xian)下(xia)降,下(xia)降率省(sheng)內排名第1(-9.09%)。

  2019年1-12月宿州市空(kong)氣(qi)質量改善幅度(du)居168重點城(cheng)市第一。




 精準臭氧管控技術服務 

  2020年4月,聚光科技進(jin)駐(zhu)湖北(bei)宜(yi)昌(chang)(chang),利用當(dang)地基礎空氣(qi)質量監(jian)測(ce)數(shu)據、光化學(xue)全流程(cheng)監(jian)測(ce)數(shu)據以及走航技術(shu)開(kai)展(zhan)臭(chou)氧污(wu)(wu)染特征(zheng)分析(xi)、VOCs區域整(zheng)體特征(zheng)摸排、臭(chou)氧成(cheng)因(yin)診(zhen)斷(duan)及來源解析(xi)工(gong)(gong)作,并組建(jian)數(shu)據分析(xi)組、走航巡(xun)查組,確(que)定指導(dao)專(zhuan)家,建(jian)立(li)了宜(yi)昌(chang)(chang)市(shi)本(ben)地化臭(chou)氧研判分析(xi)機制、日會商機制、預報預警機制。針對宜(yi)昌(chang)(chang)市(shi)工(gong)(gong)業(ye)(ye)企業(ye)(ye)、加油站(zhan)等行業(ye)(ye)開(kai)展(zhan)了拉網(wang)式巡(xun)查和(he)突擊巡(xun)查,形成(cheng)巡(xun)查問題臺賬,整(zheng)理(li)特征(zheng)因(yin)子(zi)庫,保(bao)障臭(chou)氧污(wu)(wu)染防治(zhi)工(gong)(gong)作有序(xu)推進(jin)。

  2019年5-8月(yue)(yue)(yue)均(jun)(jun)為(wei)不降(jiang)反升(sheng),2020年均(jun)(jun)改善(shan)為(wei)同(tong)比顯著下降(jiang)。變化率湖北省內(nei)排名各月(yue)(yue)(yue)均(jun)(jun)有提升(sheng),2020年8月(yue)(yue)(yue)下降(jiang)率居(ju)全省第一。

  優(you)良(liang)(liang)天同(tong)比增加(jia)21天。5月同(tong)比增加(jia)3天;6月全(quan)月優(you)良(liang)(liang),同(tong)比增加(jia)7天;7月全(quan)月優(you)良(liang)(liang),同(tong)比增加(jia)4天;8月同(tong)比增加(jia)7天。

  臭(chou)氧(yang)濃度(du)顯著下(xia)降(jiang),6月(yue)(yue)同比(bi)下(xia)降(jiang)29μg/m3;7月(yue)(yue)同比(bi)下(xia)降(jiang)38μg/m3,8月(yue)(yue)同比(bi)下(xia)降(jiang)30μg/m3。

  2020年1-6月,宜(yi)昌市(shi)空氣質量改善幅度(du)居全國168城市(shi)第一。



 


 多項技術應用于重點項目中 

  聚光科技涉(she)及顆粒(li)物來(lai)源解析(xi)(xi)、光化(hua)(hua)(hua)(hua)學反應(ying)全過程因(yin)子(zi)監(jian)測(ce)系(xi)列設(she)備技術成熟,已應(ying)用于眾(zhong)多(duo)國(guo)家(jia)級(ji)(ji)/省(sheng)級(ji)(ji)重點項(xiang)(xiang)目(mu)建設(she),可(ke)(ke)提供準(zhun)確可(ke)(ke)靠的(de)大(da)(da)氣(qi)污(wu)(wu)(wu)染(ran)監(jian)測(ce)數據,開展精(jing)細化(hua)(hua)(hua)(hua)污(wu)(wu)(wu)染(ran)成因(yin)分析(xi)(xi)及精(jing)細化(hua)(hua)(hua)(hua)管控(kong)指導,協(xie)助客戶實(shi)現大(da)(da)氣(qi)污(wu)(wu)(wu)染(ran)管控(kong)“產(chan)品-技術-服務應(ying)用”的(de)一(yi)站式(shi)購(gou)買。目(mu)前公司已建設(she)中國(guo)環境監(jian)測(ce)總站國(guo)家(jia)大(da)(da)氣(qi)顆粒(li)物組分-光化(hua)(hua)(hua)(hua)學監(jian)測(ce)網(wang)建設(she)項(xiang)(xiang)目(mu),海南省(sheng)大(da)(da)氣(qi)復(fu)合(he)污(wu)(wu)(wu)染(ran)綜合(he)來(lai)源解析(xi)(xi)項(xiang)(xiang)目(mu)、廣(guang)東顆粒(li)物組分監(jian)測(ce)網(wang)(二期)建設(she)項(xiang)(xiang)目(mu)、浙江省(sheng)環境監(jian)測(ce)中心-杭(hang)州光化(hua)(hua)(hua)(hua)學監(jian)測(ce)網(wang)-金華(hua)光化(hua)(hua)(hua)(hua)學監(jian)測(ce)網(wang)、石(shi)家(jia)莊大(da)(da)氣(qi)復(fu)合(he)超級(ji)(ji)站及應(ying)用項(xiang)(xiang)目(mu)。此外(wai),公司擁有專(zhuan)業(ye)化(hua)(hua)(hua)(hua)數據分析(xi)(xi)服務團(tuan)隊,均由國(guo)內雙一(yi)流高(gao)校(xiao)(北京大(da)(da)學、浙江大(da)(da)學、復(fu)旦(dan)大(da)(da)學、南開大(da)(da)學等)碩博學歷的(de)高(gao)素質(zhi)人(ren)才組建,并與國(guo)內知(zhi)名高(gao)校(xiao)、科研(yan)院所有深入合(he)作。



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