研發風險預警平臺 助力流域水質監管
圖為太湖流域(江蘇)水污染物總量監控與風險預警平臺。
針(zhen)對太(tai)湖(hu)(hu)流(liu)(liu)域(yu)(江(jiang)蘇(su))主(zhu)要(yao)水污(wu)染物總量(liang)監控網絡分(fen)散、預(yu)警體系不完善、溯源控污(wu)能力(li)不足、監控數據與信息(xi)(xi)管(guan)理(li)不集中等問題,“十(shi)二五”伊始,江(jiang)蘇(su)省(sheng)環境(jing)(jing)監測中心(xin)牽頭(tou),中國環境(jing)(jing)科學研究(jiu)院、南京大學、江(jiang)蘇(su)省(sheng)生(sheng)態環境(jing)(jing)監控中心(xin)(江(jiang)蘇(su)省(sheng)環境(jing)(jing)信息(xi)(xi)中心(xin))3家(jia)高校、研究(jiu)機構參與,共(gong)同申(shen)報了“太(tai)湖(hu)(hu)流(liu)(liu)域(yu)(江(jiang)蘇(su))主(zhu)要(yao)水污(wu)染物總量(liang)監控與風險預(yu)警平(ping)臺構建及示(shi)(shi)范”課題。課題分(fen)屬國家(jia)水體污(wu)染控制與治(zhi)理(li)科技(ji)重大專項流(liu)(liu)域(yu)水污(wu)染防治(zhi)監控預(yu)警技(ji)術與綜合示(shi)(shi)范主(zhu)題太(tai)湖(hu)(hu)流(liu)(liu)域(yu)水環境(jing)(jing)管(guan)理(li)技(ji)術集成綜合示(shi)(shi)范項目。
目前,這一課(ke)題已經完成(cheng)(cheng)了成(cheng)(cheng)果(guo)研發和綜合集(ji)成(cheng)(cheng),研究(jiu)開發了太湖流域(江蘇)主(zhu)要水污染物總量監控與風險(xian)預(yu)警(jing)平(ping)臺(tai),完成(cheng)(cheng)了主(zhu)要水污染物總量監控與風險(xian)預(yu)警(jing)平(ping)臺(tai)數據(ju)中心建(jian)設,實(shi)現了風險(xian)源監控、預(yu)警(jing)和溯源三(san)大功(gong)能,并在示(shi)范(fan)(fan)區示(shi)范(fan)(fan)運(yun)行。
課題以(yi)說(shuo)清太(tai)湖(hu)流(liu)域(江蘇(su))主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)(COD、氨氮(dan)、總磷、總氮(dan))風(feng)(feng)險(xian)源(yuan)排放(fang)(fang)(fang)總量(liang)(liang)及(ji)其在水(shui)(shui)環(huan)境(jing)(jing)中的(de)累積性污(wu)(wu)(wu)(wu)染(ran)(ran)為主線,著力開展(zhan)流(liu)域內主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)總量(liang)(liang)監(jian)(jian)控(kong)(kong)(kong)和(he)(he)風(feng)(feng)險(xian)預警方面的(de)關鍵技術、管(guan)(guan)(guan)理制度研究(jiu),包括太(tai)湖(hu)流(liu)域(江蘇(su))主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)排放(fang)(fang)(fang)風(feng)(feng)險(xian)源(yuan)監(jian)(jian)控(kong)(kong)(kong)體系建(jian)(jian)設、主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)排放(fang)(fang)(fang)總量(liang)(liang)和(he)(he)環(huan)境(jing)(jing)風(feng)(feng)險(xian)監(jian)(jian)測網絡構建(jian)(jian)、主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)排放(fang)(fang)(fang)總量(liang)(liang)動態監(jian)(jian)控(kong)(kong)(kong)和(he)(he)評(ping)估系統建(jian)(jian)設、主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)累積性環(huan)境(jing)(jing)風(feng)(feng)險(xian)預警與(yu)(yu)溯源(yuan)技術研究(jiu)與(yu)(yu)示范等內容,建(jian)(jian)立流(liu)域、區(qu)域和(he)(he)控(kong)(kong)(kong)制單元3級(ji)主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)總量(liang)(liang)監(jian)(jian)控(kong)(kong)(kong)和(he)(he)風(feng)(feng)險(xian)預警平(ping)臺,在太(tai)湖(hu)流(liu)域(江蘇(su))范圍(wei)內實現90%主要(yao)水(shui)(shui)污(wu)(wu)(wu)(wu)染(ran)(ran)物(wu)(wu)風(feng)(feng)險(xian)源(yuan)監(jian)(jian)控(kong)(kong)(kong),在典型(xing)匯水(shui)(shui)通道(dao)和(he)(he)入湖(hu)河流(liu)開展(zhan)風(feng)(feng)險(xian)預警示范,并將研究(jiu)成果(guo)通過管(guan)(guan)(guan)理制度與(yu)(yu)水(shui)(shui)環(huan)境(jing)(jing)監(jian)(jian)管(guan)(guan)(guan)、流(liu)域水(shui)(shui)質監(jian)(jian)測工作并軌運(yun)行,推動相關評(ping)價技術規范、標準(zhun)和(he)(he)風(feng)(feng)險(xian)預警管(guan)(guan)(guan)理平(ping)臺的(de)業務(wu)化運(yun)行。
課題最終的研究目標,是圍繞太(tai)湖(hu)(hu)流(liu)(liu)(liu)域(yu)(yu)(江(jiang)蘇(su))水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)事故、企業(ye)偷(tou)排(pai)(pai)行為和(he)(he)總(zong)(zong)量(liang)超標等突出環(huan)境(jing)問題,結合總(zong)(zong)量(liang)減排(pai)(pai)等環(huan)境(jing)管理(li)實際(ji)需(xu)求(qiu),按控(kong)制(zhi)單元(yuan)水生態功能(neng)目標要求(qiu)優化流(liu)(liu)(liu)域(yu)(yu)內主要水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)物總(zong)(zong)量(liang)監(jian)(jian)測網絡(luo),構建流(liu)(liu)(liu)域(yu)(yu)內水質(zhi)自動監(jian)(jian)測質(zhi)控(kong)中(zhong)心,建立(li)主要水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)物總(zong)(zong)量(liang)減排(pai)(pai)、考(kao)核和(he)(he)動態評(ping)(ping)估(gu)指標體系,利用流(liu)(liu)(liu)域(yu)(yu)主要水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)物排(pai)(pai)放總(zong)(zong)量(liang)累積性(xing)風(feng)險(xian)預警及示蹤(zong)溯源(yuan)技術,建立(li)風(feng)險(xian)源(yuan)污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)及事故管理(li)、湖(hu)(hu)體主要水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)物監(jian)(jian)控(kong)預警、入湖(hu)(hu)總(zong)(zong)量(liang)風(feng)險(xian)評(ping)(ping)估(gu)、污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)源(yuan)主要水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)物排(pai)(pai)放風(feng)險(xian)評(ping)(ping)價和(he)(he)企業(ye)偷(tou)排(pai)(pai)示蹤(zong)溯源(yuan)管理(li)平(ping)臺并進(jin)行示范化運行,實現對太(tai)湖(hu)(hu)流(liu)(liu)(liu)域(yu)(yu)(江(jiang)蘇(su))水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)物總(zong)(zong)量(liang)監(jian)(jian)控(kong)和(he)(he)風(feng)險(xian)預警的管理(li)目標,為加強太(tai)湖(hu)(hu)水污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)治理(li)和(he)(he)污(wu)(wu)(wu)(wu)(wu)染(ran)(ran)事故防控(kong)提供技術支(zhi)撐(cheng)和(he)(he)決策依據。
研(yan)究1
初步建成主要(yao)水污染物總量超標(biao)和累積性(xing)風險監測網絡
課(ke)題以(yi)江(jiang)蘇省太湖(hu)(hu)流(liu)域(yu)為研(yan)(yan)究(jiu)區域(yu),以(yi)影響太湖(hu)(hu)流(liu)域(yu)水(shui)(shui)環境安全的(de)主(zhu)要水(shui)(shui)污(wu)染物排(pai)放(fang)風險(xian)(xian)(xian)源(yuan)(yuan)為研(yan)(yan)究(jiu)對(dui)象,按照“風險(xian)(xian)(xian)源(yuan)(yuan)識別與(yu)分級(ji)(ji)——氮磷排(pai)放(fang)評估——超標預測預警(jing)與(yu)管(guan)理”的(de)技術路線,開展了流(liu)域(yu)內主(zhu)要水(shui)(shui)污(wu)染源(yuan)(yuan)識別研(yan)(yan)究(jiu)和(he)環境風險(xian)(xian)(xian)調查,以(yi)主(zhu)要污(wu)染物質識別清(qing)單、排(pai)放(fang)途徑與(yu)管(guan)理因素(su)、受納水(shui)(shui)體(ti)敏感性3方(fang)面要素(su)構建水(shui)(shui)環境風險(xian)(xian)(xian)源(yuan)(yuan)與(yu)分級(ji)(ji)評估指標體(ti)系,建立了水(shui)(shui)污(wu)染風險(xian)(xian)(xian)源(yuan)(yuan)識別與(yu)分級(ji)(ji)方(fang)法。
方(fang)法(fa)建立后,課題組對(dui)太湖流域(yu)(江蘇)4889家(jia)工業源(yuan)企業與污(wu)水(shui)處理廠進(jin)行(xing)評估與分級(ji),確定重(zhong)點(dian)(dian)水(shui)環(huan)境風(feng)險(xian)源(yuan)(一(yi)級(ji)水(shui)環(huan)境風(feng)險(xian)源(yuan))317家(jia),實(shi)現了(le)對(dui)288家(jia)重(zhong)點(dian)(dian)水(shui)污(wu)染累(lei)積性(xing)風(feng)險(xian)源(yuan)污(wu)染排放狀況(kuang)的監(jian)控,監(jian)控比例達到91%。同時,構建了(le)基(ji)于WEB-GIS(網(wang)絡地理信(xin)息(xi)系統(tong))的太湖流域(yu)主(zhu)要水(shui)污(wu)染風(feng)險(xian)源(yuan)基(ji)礎信(xin)息(xi)數據(ju)庫與分級(ji)管理系統(tong),將采集到的數據(ju)匯總、上傳、整理,并保(bao)存在基(ji)礎數據(ju)庫中(zhong),初步實(shi)現了(le)重(zhong)點(dian)(dian)水(shui)環(huan)境風(feng)險(xian)源(yuan)的分級(ji)監(jian)控管理。
同時,課題組從(cong)典型匯水通道主要水污(wu)染物(wu)通量自動(dong)監(jian)(jian)測(ce)、主要水污(wu)染物(wu)總量減(jian)排水質目(mu)標考核斷(duan)面(mian)自動(dong)在線監(jian)(jian)測(ce)、基于控制(zhi)單(dan)元的流域(yu)主要水污(wu)染物(wu)總量監(jian)(jian)測(ce)、太湖湖體(ti)自動(dong)監(jian)(jian)測(ce)四大監(jian)(jian)測(ce)體(ti)系現狀(zhuang)出發(fa),分析太湖流域(yu)水質監(jian)(jian)測(ce)網(wang)絡現狀(zhuang),對不再適應需求的斷(duan)面(mian)進行了(le)調整,新增一批滿足工作及研究要求的監(jian)(jian)測(ce)斷(duan)面(mian),逐步(bu)建立了(le)流域(yu)、區域(yu)和控制(zhi)單(dan)元三級(ji)主要水污(wu)染物(wu)總量超標和累積性(xing)風險監(jian)(jian)測(ce)網(wang)絡,最終形成了(le)涵蓋143個水質監(jian)(jian)測(ce)斷(duan)面(mian)(點位)的監(jian)(jian)測(ce)網(wang)絡。
研究2
構(gou)建4個流域(yu)性(xing)水(shui)環境自(zi)動監測(ce)質控(分)中心,增建10個太湖湖體浮標站
結合實際工作(zuo)需求,目前,課題已(yi)在無錫(xi)宜(yi)興市(大浦港)構(gou)(gou)建了1個(ge)流域性水環(huan)境自動(dong)(dong)監(jian)測質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)中心,在常州市(丁莊(zhuang))、無錫(xi)市(直湖(hu)港)、無錫(xi)宜(yi)興市(陳東港)分(fen)別構(gou)(gou)建了1個(ge)質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)(分(fen))中心。質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)(分(fen))中心是水質(zhi)(zhi)(zhi)(zhi)自動(dong)(dong)站質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)管(guan)理(li)機(ji)構(gou)(gou),是省(sheng)級質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)管(guan)理(li)的基礎和延(yan)伸。主要用于監(jian)控(kong)(kong)(kong)(kong)(kong)區域內自動(dong)(dong)站運行(xing)維(wei)護(hu),管(guan)理(li)區域內自動(dong)(dong)站質(zhi)(zhi)(zhi)(zhi)量控(kong)(kong)(kong)(kong)(kong)制,包括對運營商(shang)監(jian)督檢查、質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)考(kao)核、質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)管(guan)理(li),對地方監(jian)測站技術指導、聯合比對,應急污(wu)染(ran)事故(gu)期(qi)間(jian)的應急質(zhi)(zhi)(zhi)(zhi)控(kong)(kong)(kong)(kong)(kong)以及應急監(jian)測等。
課(ke)題還在太湖(hu)湖(hu)體中增建了(le)10個(ge)浮標式多參數(shu)水質監(jian)測(ce)(ce)(ce)系統(簡(jian)稱(cheng)浮標站),監(jian)測(ce)(ce)(ce)項(xiang)目(mu)一(yi)般包(bao)括水溫(wen)、pH、溶解氧(yang)、電(dian)導率(lv)、濁(zhuo)度、葉綠素和藍綠藻等(deng),部分站點還增設了(le)富(fu)營養化指標監(jian)測(ce)(ce)(ce)項(xiang)目(mu)氨氮、總磷的監(jian)測(ce)(ce)(ce)。一(yi)般監(jian)測(ce)(ce)(ce)頻(pin)次可設為每兩小(xiao)時(shi)或(huo)4小(xiao)時(shi)監(jian)測(ce)(ce)(ce)一(yi)次,當發現水質狀況明顯變化或(huo)發生污染事故時(shi),監(jian)測(ce)(ce)(ce)頻(pin)率(lv)也可調(diao)整為連續(xu)監(jian)測(ce)(ce)(ce)。
目前,4個質控(分)中心及(ji)新(xin)建的(de)(de)10個浮標(biao)站均正式投(tou)入太(tai)(tai)湖流域運行。質控(分)中心的(de)(de)建設,強化了區域內水質自動(dong)站的(de)(de)質量管理,整合(he)各級管理和(he)運營(ying)機構(gou)功能,統一(yi)了監(jian)測數據和(he)監(jian)控平(ping)臺,為(wei)最大(da)限(xian)度(du)發揮監(jian)測網絡的(de)(de)作(zuo)用提供了保障(zhang)。浮標(biao)式自動(dong)監(jian)測系(xi)統與實驗室手(shou)工監(jian)測、遙(yao)感監(jian)測互相結合(he),尤其在藍藻預(yu)警工作(zuo)期間(jian),浮標(biao)式自動(dong)監(jian)測預(yu)警成果為(wei)調水引流、藍藻打撈、控源截污、湖泛(fan)預(yu)警等綜合(he)治理太(tai)(tai)湖措施的(de)(de)推進(jin)提供了強有力(li)的(de)(de)技術支(zhi)撐,且對水質異(yi)常(chang)情(qing)況(kuang)“早發現、早預(yu)報、早行動(dong)”意義(yi)重大(da)。
研(yan)究3
動態(tai)監控(kong)與評估太(tai)湖流域主(zhu)要水污(wu)染物排放(fang)總(zong)量
課題于2013年開展了竺山湖流域的(de)污(wu)(wu)染(ran)現狀(zhuang)調查(cha),通過(guo)建(jian)立污(wu)(wu)染(ran)源(yuan)端(duan)元混合模型和同位素示(shi)(shi)蹤庫,運用宿主特異(yi)性(xing)生物(wu)標志物(wu)定性(xing)、定量溯源(yuan)方法,開展了氮磷(lin)累(lei)積(ji)性(xing)風(feng)險(xian)溯源(yuan)分(fen)析,建(jian)立了面源(yuan)污(wu)(wu)染(ran)點源(yuan)化GIS技術(shu),編制了污(wu)(wu)染(ran)物(wu)累(lei)積(ji)性(xing)風(feng)險(xian)溯源(yuan)技術(shu)優化模型軟件,并(bing)進行了示(shi)(shi)范(fan)(fan)區內營(ying)養物(wu)溯源(yuan)分(fen)析,解析出示(shi)(shi)范(fan)(fan)區內氮、磷(lin)營(ying)養物(wu)累(lei)積(ji)性(xing)風(feng)險(xian)的(de)污(wu)(wu)染(ran)結構、時空分(fen)布特征(zheng)、關鍵風(feng)險(xian)源(yuan)。
同(tong)時,課題提出了(le)適(shi)用于太湖(hu)示范(fan)(fan)(fan)區的(de)日最大污(wu)染負荷(he)核(he)(he)算方法(TMDL模型),并對示范(fan)(fan)(fan)區進行面源污(wu)染負荷(he)的(de)核(he)(he)算,擬定(ding)了(le)風險(xian)(xian)預警(jing)閾值的(de)確定(ding)方案,優化集(ji)成了(le)流(liu)域排污(wu)總量(liang)環(huan)境(jing)風險(xian)(xian)面源污(wu)染的(de)溯源成套(tao)技(ji)術(shu)、太湖(hu)流(liu)域(江(jiang)蘇)面源污(wu)染負荷(he)核(he)(he)算方法、示范(fan)(fan)(fan)區水污(wu)染過程(cheng)陸域——水域復合模型,并進行了(le)示范(fan)(fan)(fan)應用研(yan)究。
在竺山湖湖區(qu)主(zhu)要(yao)水污(wu)(wu)(wu)(wu)染(ran)(ran)物排(pai)污(wu)(wu)(wu)(wu)總(zong)(zong)(zong)量(liang)(liang)自動(dong)在線監測體系(xi)(xi)和(he)(he)河(he)流匯(hui)水通(tong)(tong)道(dao)特征水污(wu)(wu)(wu)(wu)染(ran)(ran)物通(tong)(tong)量(liang)(liang)自動(dong)監測體系(xi)(xi)構建的(de)基礎上,選擇了(le)示范區(qu)內的(de)殷(yin)村(cun)港(gang)、漕橋河(he)、太滆運河(he)3條(tiao)重點(dian)河(he)流作為監測對(dui)象(xiang),利用其水質自動(dong)監測站測得(de)的(de)高錳酸鹽指(zhi)數(shu)、總(zong)(zong)(zong)氮(dan)、總(zong)(zong)(zong)磷、氨氮(dan)、流量(liang)(liang)等數(shu)據,建立主(zhu)要(yao)水污(wu)(wu)(wu)(wu)染(ran)(ran)物排(pai)放(fang)總(zong)(zong)(zong)量(liang)(liang)數(shu)據的(de)采集和(he)(he)傳輸系(xi)(xi)統,結合流域、區(qu)域重大減排(pai)治(zhi)理工程對(dui)主(zhu)要(yao)污(wu)(wu)(wu)(wu)染(ran)(ran)物排(pai)放(fang)影響,建立了(le)符合流域、區(qu)域、控制單(dan)元容(rong)量(liang)(liang)總(zong)(zong)(zong)量(liang)(liang)控制和(he)(he)功能區(qu)水質目標管理需(xu)求的(de),以氮(dan)磷排(pai)放(fang)為重點(dian)的(de)主(zhu)要(yao)污(wu)(wu)(wu)(wu)染(ran)(ran)物總(zong)(zong)(zong)量(liang)(liang)核定方法技術體系(xi)(xi),定期以水質月(yue)報的(de)形(xing)式通(tong)(tong)報當月(yue)河(he)流4項指(zhi)標入湖總(zong)(zong)(zong)量(liang)(liang)、總(zong)(zong)(zong)量(liang)(liang)月(yue)內變化趨勢。
課題還選擇典(dian)型(xing)控(kong)(kong)制(zhi)單元和(he)(he)(he)主(zhu)要污染物(wu)指標為研(yan)究(jiu)對象,完成了殷(yin)村港、漕橋河、太滆(he)運河等(deng)主(zhu)要入(ru)湖(hu)河流(liu)(liu)典(dian)型(xing)水質(zhi)(zhi)及水文響(xiang)應(ying)關(guan)(guan)系測試,根據(ju)流(liu)(liu)域(yu)減(jian)(jian)(jian)排(pai)(pai)量(liang)可推(tui)求河流(liu)(liu)入(ru)湖(hu)水質(zhi)(zhi)響(xiang)應(ying),反之根據(ju)河流(liu)(liu)入(ru)湖(hu)水質(zhi)(zhi)可推(tui)求流(liu)(liu)域(yu)減(jian)(jian)(jian)排(pai)(pai)總(zong)量(liang)。建立了符合水生態(tai)功能分區水質(zhi)(zhi)目標管理(li)的,基于控(kong)(kong)制(zhi)單元主(zhu)要水污染物(wu)總(zong)量(liang)控(kong)(kong)制(zhi)與水環境質(zhi)(zhi)量(liang)響(xiang)應(ying)關(guan)(guan)系模(mo)(mo)型(xing),及時跟蹤新老污染物(wu)增減(jian)(jian)(jian)動(dong)(dong)態(tai)變化情況(kuang)和(he)(he)(he)流(liu)(liu)域(yu)、區域(yu)重大減(jian)(jian)(jian)排(pai)(pai)治理(li)工程在控(kong)(kong)制(zhi)和(he)(he)(he)削(xue)減(jian)(jian)(jian)高錳酸(suan)鹽(yan)指數、氨氮、總(zong)磷、總(zong)氮排(pai)(pai)放情況(kuang),通過模(mo)(mo)型(xing)應(ying)用,動(dong)(dong)態(tai)實時預警總(zong)量(liang)減(jian)(jian)(jian)排(pai)(pai)對水環境質(zhi)(zhi)量(liang)變化的影響(xiang)。同時完成主(zhu)要水污染物(wu)總(zong)量(liang)減(jian)(jian)(jian)排(pai)(pai)動(dong)(dong)態(tai)評估(gu)(gu)子系統(tong)建設(she),系統(tong)包含總(zong)量(liang)排(pai)(pai)放核(he)定、減(jian)(jian)(jian)排(pai)(pai)動(dong)(dong)態(tai)評估(gu)(gu)、減(jian)(jian)(jian)排(pai)(pai)績效評估(gu)(gu)和(he)(he)(he)基礎數據(ju)庫、統(tong)計分析和(he)(he)(he)系統(tong)管理(li)幾個模(mo)(mo)塊(kuai)。
案例
主(zhu)要污染物監控與(yu)風險預警平(ping)臺在(zai)無錫、常(chang)州運行(xing)
在以上研(yan)究(jiu)(jiu)基礎(chu)上,課題綜合集成(cheng)(cheng)研(yan)究(jiu)(jiu)成(cheng)(cheng)果,研(yan)究(jiu)(jiu)開發(fa)了(le)太湖流域(yu)(江蘇)主要水污染物總(zong)量(liang)監控(kong)(kong)(kong)與風險預警平(ping)臺,已完(wan)成(cheng)(cheng)示范區(qu)三級功能分區(qu)、控(kong)(kong)(kong)制單元等多元異構數據的集成(cheng)(cheng)研(yan)究(jiu)(jiu),風險源(yuan)申報系統(tong)設計及主要水污染物總(zong)量(liang)監控(kong)(kong)(kong)與風險預警平(ping)臺數據中(zhong)心(xin)建(jian)設,建(jian)成(cheng)(cheng)集風險源(yuan)監控(kong)(kong)(kong)、水環境(jing)監測、總(zong)量(liang)風險監控(kong)(kong)(kong)為一體的示范區(qu)監控(kong)(kong)(kong)平(ping)臺,實現(xian)了(le)對示范區(qu)內風險源(yuan)、環境(jing)質量(liang)、排(pai)污總(zong)量(liang)的監控(kong)(kong)(kong),并可(ke)進(jin)行總(zong)量(liang)核定與動(dong)態(tai)評(ping)估,實現(xian)了(le)風險源(yuan)溯源(yuan)決策(ce)的功能。
平臺基于(yu)WEB-GIS空(kong)間展示系統,緊緊圍(wei)繞(rao)一個(ge)數(shu)據(ju)中心、三個(ge)標(biao)準(zhun)、六大模(mo)(mo)塊進行建(jian)設。一個(ge)數(shu)據(ju)中心,即課題示范(fan)平臺利用分時(shi)(shi)異構(gou)(gou)傳(chuan)輸技術集(ji)成了風(feng)險(xian)(xian)(xian)(xian)(xian)源(yuan)(yuan)(yuan)、水質自動(dong)站、水質斷面、總(zong)量(liang)(liang)(liang)監(jian)(jian)控(kong)(kong)、典(dian)型(xing)入(ru)(ru)湖河流(liu)(liu)(liu)主要污(wu)染(ran)物最大日負荷量(liang)(liang)(liang)等(deng)數(shu)據(ju)信息的(de)采集(ji)和交換,建(jian)成業務(wu)數(shu)據(ju)庫4類15項,收集(ji)的(de)數(shu)據(ju)已超過15萬條。三個(ge)標(biao)準(zhun),即基于(yu)研發的(de)風(feng)險(xian)(xian)(xian)(xian)(xian)源(yuan)(yuan)(yuan)分級標(biao)準(zhun)、總(zong)量(liang)(liang)(liang)監(jian)(jian)控(kong)(kong)體系構(gou)(gou)建(jian)標(biao)準(zhun)、總(zong)量(liang)(liang)(liang)預警閾值標(biao)準(zhun),對(dui)風(feng)險(xian)(xian)(xian)(xian)(xian)源(yuan)(yuan)(yuan)進行篩查和定級、風(feng)險(xian)(xian)(xian)(xian)(xian)源(yuan)(yuan)(yuan)總(zong)量(liang)(liang)(liang)監(jian)(jian)控(kong)(kong)預警、流(liu)(liu)(liu)域總(zong)量(liang)(liang)(liang)動(dong)態評(ping)估(gu)。六大模(mo)(mo)塊,平臺由風(feng)險(xian)(xian)(xian)(xian)(xian)源(yuan)(yuan)(yuan)監(jian)(jian)控(kong)(kong)、監(jian)(jian)測網(wang)絡(luo)、總(zong)量(liang)(liang)(liang)動(dong)態評(ping)估(gu)、風(feng)險(xian)(xian)(xian)(xian)(xian)溯源(yuan)(yuan)(yuan)管理、監(jian)(jian)測月報、示范(fan)區監(jian)(jian)控(kong)(kong)六大模(mo)(mo)塊組(zu)成,分別實現了對(dui)太湖流(liu)(liu)(liu)域90%以(yi)上(shang)風(feng)險(xian)(xian)(xian)(xian)(xian)源(yuan)(yuan)(yuan)的(de)實時(shi)(shi)監(jian)(jian)控(kong)(kong),對(dui)太湖流(liu)(liu)(liu)域出入(ru)(ru)湖河流(liu)(liu)(liu)、湖體、15條主要入(ru)(ru)湖河流(liu)(liu)(liu)實行總(zong)量(liang)(liang)(liang)實時(shi)(shi)監(jian)(jian)控(kong)(kong)與動(dong)態評(ping)估(gu)、風(feng)險(xian)(xian)(xian)(xian)(xian)預警與溯源(yuan)(yuan)(yuan)等(deng)功能。
目前,平臺已在示范區(無錫(xi)宜(yi)興市、常州市武進(jin)(jin)區)進(jin)(jin)行了(le)(le)業務化運行,隨著研究成(cheng)果的落地(di)應(ying)用(yong),課題配套同(tong)時(shi)形(xing)成(cheng)了(le)(le)《太(tai)湖(hu)(hu)(hu)流域(yu)(江蘇)水環境(jing)風險(xian)源(yuan)分類(lei)分級管理(li)辦法(草(cao)案(an))》《太(tai)湖(hu)(hu)(hu)流域(yu)水環境(jing)風險(xian)源(yuan)超標排放(fang)預警通報(bao)制(zhi)度(du)(草(cao)案(an))》,用(yong)于支(zhi)撐(cheng)水環境(jing)風險(xian)源(yuan)的動態分級管理(li);形(xing)成(cheng)了(le)(le)《基于水質(zhi)自動站網的典型匯水通道(dao)主要(yao)水污染物通量(liang)監測技術方(fang)案(an)》《太(tai)湖(hu)(hu)(hu)湖(hu)(hu)(hu)體(ti)自動監測體(ti)系構建及試運行報(bao)告》《江蘇省太(tai)湖(hu)(hu)(hu)流域(yu)地(di)表水環境(jing)監測點(dian)位手冊》等(deng)系列(lie)管理(li)文(wen)本,加強監測網絡管理(li);形(xing)成(cheng)了(le)(le)《太(tai)湖(hu)(hu)(hu)流域(yu)入湖(hu)(hu)(hu)總量(liang)核定研究技術辦法和通報(bao)制(zhi)度(du)》,并定期對(dui)水污染物累(lei)積性環境(jing)風險(xian)預警與(yu)溯(su)源(yuan)情況進(jin)(jin)行通報(bao),指導(dao)地(di)方(fang)使用(yong)部門(men)操作。

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