中国环境科学
中國環境科學
중국배경과학
China Environmental Science
2015年
9期
2561-2569
,共9页
唐新明%刘浩%李京%谢志英%赵文慧
唐新明%劉浩%李京%謝誌英%趙文慧
당신명%류호%리경%사지영%조문혜
颗粒物污染%霾日数%土地利用/覆盖%相关性分析
顆粒物汙染%霾日數%土地利用/覆蓋%相關性分析
과립물오염%매일수%토지이용/복개%상관성분석
particle pollution%number of haze days%land use/cover%correlation analysis
土地利用/覆盖变化(LUCC)直接或间接影响颗粒物污染,为定量评价颗粒物污染与土地利用在时序变化和空间分布上的关系,使用北京市长期气象资料、土地利用数据、实测颗粒物浓度数据和遥感影像,结合 GIS 空间分析和典型相关分析方法,对北京市霾日数与土地利用变化的响应关系、以及局地土地利用类型对颗粒物污染浓度空间分布的影响进行了定量评价.结果表明:从时序变化的角度看,北京市(行政区内)1996~2008年间霾日数与生态用地和耕地表现为显著负相关,相关系数分别为-0.574和-0.592,与建设用地、居民点及工矿用地和交通用地则呈显著正相关,相关系数分别为 0.595、0.609 和 0.590;北京城区(五环内)1989~2012 年间霾日数与生态用地、耕地和建设用地变化趋势具有良好的响应关系,其中城市区域扩张对霾日数影响显著,建成区面积与霾日数显著正相关,相关系数为 0.876.从空间分布的角度看,建筑工地、道路和裸地3种下垫面类型的颗粒物浓度要明显高于其他类型;在0.5km和1km缓冲区内,绿地面积与PM1.0浓度呈显著负相关,相关系数分别为-0.542和-0.507,建筑面积与PM1.0浓度呈显著正相关,相关系数分别为0.469和0.537.总体来看,北京地区颗粒物污染水平、空间分布格局与土地利用/覆盖状况具有良好的时空关联性.
土地利用/覆蓋變化(LUCC)直接或間接影響顆粒物汙染,為定量評價顆粒物汙染與土地利用在時序變化和空間分佈上的關繫,使用北京市長期氣象資料、土地利用數據、實測顆粒物濃度數據和遙感影像,結閤 GIS 空間分析和典型相關分析方法,對北京市霾日數與土地利用變化的響應關繫、以及跼地土地利用類型對顆粒物汙染濃度空間分佈的影響進行瞭定量評價.結果錶明:從時序變化的角度看,北京市(行政區內)1996~2008年間霾日數與生態用地和耕地錶現為顯著負相關,相關繫數分彆為-0.574和-0.592,與建設用地、居民點及工礦用地和交通用地則呈顯著正相關,相關繫數分彆為 0.595、0.609 和 0.590;北京城區(五環內)1989~2012 年間霾日數與生態用地、耕地和建設用地變化趨勢具有良好的響應關繫,其中城市區域擴張對霾日數影響顯著,建成區麵積與霾日數顯著正相關,相關繫數為 0.876.從空間分佈的角度看,建築工地、道路和裸地3種下墊麵類型的顆粒物濃度要明顯高于其他類型;在0.5km和1km緩遲區內,綠地麵積與PM1.0濃度呈顯著負相關,相關繫數分彆為-0.542和-0.507,建築麵積與PM1.0濃度呈顯著正相關,相關繫數分彆為0.469和0.537.總體來看,北京地區顆粒物汙染水平、空間分佈格跼與土地利用/覆蓋狀況具有良好的時空關聯性.
토지이용/복개변화(LUCC)직접혹간접영향과립물오염,위정량평개과립물오염여토지이용재시서변화화공간분포상적관계,사용북경시장기기상자료、토지이용수거、실측과립물농도수거화요감영상,결합 GIS 공간분석화전형상관분석방법,대북경시매일수여토지이용변화적향응관계、이급국지토지이용류형대과립물오염농도공간분포적영향진행료정량평개.결과표명:종시서변화적각도간,북경시(행정구내)1996~2008년간매일수여생태용지화경지표현위현저부상관,상관계수분별위-0.574화-0.592,여건설용지、거민점급공광용지화교통용지칙정현저정상관,상관계수분별위 0.595、0.609 화 0.590;북경성구(오배내)1989~2012 년간매일수여생태용지、경지화건설용지변화추세구유량호적향응관계,기중성시구역확장대매일수영향현저,건성구면적여매일수현저정상관,상관계수위 0.876.종공간분포적각도간,건축공지、도로화라지3충하점면류형적과립물농도요명현고우기타류형;재0.5km화1km완충구내,록지면적여PM1.0농도정현저부상관,상관계수분별위-0.542화-0.507,건축면적여PM1.0농도정현저정상관,상관계수분별위0.469화0.537.총체래간,북경지구과립물오염수평、공간분포격국여토지이용/복개상황구유량호적시공관련성.
Land-Use/Cover Change (LUCC) has direct or indirect effects on particulate matter pollution. To quantitatively evaluate the correlation between particulate matter pollution and land use in terms of temporal variation and spatial distribution, long-term meteorological data, land use data, measured particulate concentration data and remote sensing images, as well as the GIS spatial analysis methods and canonical correlation analysis methods were used to perform quantitative evaluation of the correlation between the number of haze days and land use change in Beijing, as well as the effects of local land use types on spatial distribution of particle pollution. The results showed that: (1) In respect of temporal variation, from 1996 to 2008, the number of haze days in Beijing presented a significant negative correlation with ecological land and agricultural land, with the correlation coefficients being-0.574 and-0.592 respectively, but presented a significant positive correlation with construction land, residential settlements and industry and mining, and transportation land, with the correlation coefficients being 0.595, 0.609, and 0.590 respectively; from 1989 to 2012, the number of haze days in urban areas of Beijing presented good responding relationship with the variation trend of ecological land, agricultural land, and construction land, in which the expansion of urban areas has significant effect on the number of haze days, and the coverage of built-up areas presented a significant positive correlation with the number of haze days, with the correlation coefficient being 0.876. (2) In terms of spatial distribution, the concentration of particulates at underlying surface including construction sites, roads, and bare land was obviously higher than that at land of other types; within the 0.5km and 1km buffer area, the area of green land presented a significant negative correlation with the PM1.0concentration, with the correlation coefficients being-0.542 and-0.507 respectively, and the area of construction land presented a significant positive correlation with the PM1.0 concentration, with the correlation coefficients being 0.469 and 0.537 respectively. As a whole, the pollution level and spatial distribution pattern of particulate matter were closely related to the Land Use/Cover status.