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題名:霧霾污染的城市間動態關聯及其成因研究
書刊名:中國人口.資源與環境
作者:劉華軍孫亞男陳明華
出版日期:2017
卷期:2017(3)
頁次:74-81
主題關鍵詞:霧霾污染動態關聯社會網絡分析協同治理Haze pollutionDynamic correlationNetwork analysisCollaborative governance
原始連結:連回原系統網址new window
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面對嚴重的霧霾天氣以及霧霾污染邊界不斷擴張的嚴峻挑戰,加快創新大氣污染聯防聯控體系以形成跨區域協同治污合力勢在必行。本文基于京津冀、長三角、珠三角、成渝、長中游等五大地區96個城市2015年的空氣質量指數(AQI)以及PM2.5、PM10、SO2、CO、NO2、O3等6種分項污染物的逐日數據,從時間序列數據"預測能力"的視角,在向量自回歸模型框架下識別霧霾污染的城市間動態交互影響效應,運用社會網絡分析方法刻畫霧霾污染空間關聯的網絡結構特征。在此基礎上,運用二次指派程序從分項污染物視角考察霧霾污染空間關聯的關鍵誘因,并利用雙變量Moran指數揭示霧霾污染與其影響因素之間的空間相關性。研究發現,城市霧霾污染之間存在普遍的動態關聯關系且呈現出聯系緊密、穩定性強、帶有明顯特征的多線程復雜網絡結構形態。不論在地區內部還是在全部樣本城市當中,均不存在孤立的城市節點,這意味著面對霧霾污染的空間關聯網絡,任何一個城市都不能獨善其身,均受到來自地區內部和地區以外其他城市以及它們構成的空間關聯網絡的影響。在六種分項污染物中,PM2.5的空間關聯是導致霧霾污染空間關聯的最主要誘因。城市霧霾污染與其影響因素尤其是城市人口密度、投資強度、工業污染排放之間存在顯著的空間相關性。基于上述結論,中國應當加快構建以防控PM2.5為重點的跨區域霧霾污染協同治理機制,并將其融入城市群發展戰略以及區域發展戰略之中,最終實現包含霧霾污染協同治理在內的全方位的區域協同發展。
Facing severe challenge of regional haze pollution and its boundary expansion,it is imperative to form interregional pollution governance force through the innovation of joint prevention and control system. Based on 96 cities’ daily data of air quality index( AQI) and six sub-pollutants such as PM2.5,PM10,SO2,CO,NO2,O3 of Beijing-Tianjin-Hehei region,the Yangtze River Delta,Pearl River Delta,Chengdu-Chongqing region and the middle reaches of Yangtze River,the article identified dynamic interaction effects among urban pollution with the VAR framework from the perspective of forecast capability of time series and revealed the network structure characteristic of spatial correlation of haze pollution by the method of Social Network Analysis( SNA). Meanwhile,the article used quadratic assignment program to reveal the key incentives of spatial correlation of haze pollution within sub-pollutants,and exploited bivariate Moran index to describe spatial correlation between haze pollution and its influential factors. The main results were as follows: AQI and six sub-pollutants among cities all had multithreading and dynamic correlation which presentsed complex network characteristic with close linkage and strong stability. Meanwhile the spatial correlation network of urban haze pollution had a significant small-world characteristic. There is no isolated urban node both within the region and in the entire sample cities,faced with haze pollution spatial correlation network,which means that no city could be immune to haze pollution,and would be all influenced by other cities that are built the spatial correlation network from inside and outside the region. In the six sub-pollutants the spatial correlation of PM2.5was the main cause of urban spatial correlation of haze pollution. Urban haze pollution and its influence factors,especially the urban population density,investment intensity,industrial pollution emissions,had a significant spatial correlation. Based on the above conclusion,China should accelerate to build a cross-regional air pollution joint prevention and control system with emphasis on the prevention and control of PM2.5. And the collaborative system should be integrated into the urban agglomeration development strategy and regional development strategy to realize a full range of regional collaborative development.
期刊論文
1.馬麗梅、張曉(2014)。中國霧霾污染的空間效應及經濟、能源結構影響。中國工業經濟,2014(4),19-31。  延伸查詢new window
2.Bai, X.、Shi, P.、Liu, Y.(2014)。Society: realizing China's urban dream。Nature,509,158-160。  new window
3.薛文博、付飛、王金南(2014)。中國PM2.5跨區域傳輸特徵數值類比研究。中國環境科學,34(6),1361-1368。  延伸查詢new window
4.Qin, M.、Wang, X.、Hu, Y.(2015)。Formation of particulate sulfate and Nitrate over the Pearl River Delta in the fall: diagnostic analysis using the community multiscale air euality model。Atmospheric environment,112,81-89。  new window
5.胡曉宇、李雲鵬、李金鳳(2011)。珠江三角洲城市群PM10的相互影響研究。北京大學學報,47(3),519-524。  延伸查詢new window
6.Li, L.、Huang, C.、Huang, H.(2014)。An integrated process rate analysis of a regional fine particulate matter episode over Yangtze River Delta in 2010。Atmospheric environment,91,60-70。  new window
7.向堃、宋德勇(2015)。中國省域PM2.5污染的空間實證研究。中國人口•資源環境,25(9),153-159。  延伸查詢new window
8.Yang, N.、Ji, D.、Li, S.(2015)。The application of pearson correlational analysis method in air quality analysis of Beijing-Tianjin-Hebei Region。Agricultural science & technology,16(3),590-593。  new window
9.張殷俊、陳曦、謝高地(2015)。中國細顆粒物(PM2.5)污染狀況和空間分佈。資源科學,37(7),1339-1346。  延伸查詢new window
10.Wang, Y.、Ying, Q.、Hu, J.(2014)。Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014。Environment international,73,413-422。  new window
11.任婉俠、薛冰、張琳(2013)。中國特大型城市空氣污染指數的時空變化。生態學雜誌,32(10),2788-2796。  延伸查詢new window
12.李婕、騰麗(2014)。珠三角城市空氣質量的時空變化特徵及影響因素。城市觀察,2014(5),85-95。  延伸查詢new window
13.劉華軍、劉傳明、孫亞男(2015)。中國能源消費的空間關聯網絡結構特徵及其效應研究。中國工業經濟,2015(5),83-95。  延伸查詢new window
14.劉華軍、劉傳明、楊騫(2015)。環境污染的空間溢出及其來源--基於網絡分析視角的實證研究。經濟學家,2015(10),28-35。  延伸查詢new window
15.Hu, J.、Wang, Y.、Ying, Q.(2014)。Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta。China atmospheric environment,95,598-609。  new window
16.劉華軍、何禮偉(2016)。中國省際經濟增長的空間關聯網絡結構--基於非線性Granger因果檢驗方法的再考察。財經研究,42(2),97-107。  延伸查詢new window
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圖書
1.Scott, J.(2013)。Social network analysis: a handbook。Sage Publication。  new window
 
 
 
 
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