基于RSEI的巢湖流域生态环境质量时空变化分析
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摘要
[目的]分析巢湖流域生态环境质量时空变化。[方法]利用巢湖流域2006年和2017年2个时相的Landsat系列卫星影像,采用新型的遥感生态指数(RSEI)对研究区这11年间的生态环境质量变化进行分析。[结果]随着城市建成区的不断扩展,巢湖流域生态质量总体出现下降趋势,研究时间内RSEI均值从0.562下降至0.500;生态环境较差和差的区域面积增加了2.63%,生态环境优良区域面积减少了18.79%。在空间分布上,合肥市区及舒城县生态质量相对较差,流域西南的岳西县部分地区和庐江县生态质量较好,且研究时间内合肥市区生态变差,肥西县北部和庐江县生态逐渐变好。[结论]总体来看,植被覆盖的减少和建筑用地的扩张是导致巢湖流域生态质量下降的重要因素。
[Objective] The research aimed to analyze the temporal and spatial changes in the ecological environment quality of the Chaohu Basin.[Method]Using the Landsat series of satellite images from the Chaohu Basin in 2006 and 2017, the new remote sensing ecological index(RSEI) was used to analyze the ecological environment quality changes in the study area during the 11 years.[Result]With the continuous expansion of urban built-up areas, the overall ecological quality of Chaohu Basin had decreased. The average RSEI value decreased from 0.562 to 0.500 during the studied period; the areas with relatively poor and poor ecological environment increased by 2.63%, and those with good ecological environment decreased by 18.79%.In terms of spatial distribution, the ecological quality of Hefei City and Shucheng County was relatively poor, and that of part of Yuexi County and Lujiang County was good. Besides, during the studied period, the ecological environment in Hefei became worse, while that in the north of Feixi County and Lujiang County became better.[Conclusion]Overall, the reduction of vegetation cover and the expansion of construction land are the important factors leading to the decline of ecological quality in the Chaohu Basin.
[Objective] The research aimed to analyze the temporal and spatial changes in the ecological environment quality of the Chaohu Basin.[Method]Using the Landsat series of satellite images from the Chaohu Basin in 2006 and 2017, the new remote sensing ecological index(RSEI) was used to analyze the ecological environment quality changes in the study area during the 11 years.[Result]With the continuous expansion of urban built-up areas, the overall ecological quality of Chaohu Basin had decreased. The average RSEI value decreased from 0.562 to 0.500 during the studied period; the areas with relatively poor and poor ecological environment increased by 2.63%, and those with good ecological environment decreased by 18.79%.In terms of spatial distribution, the ecological quality of Hefei City and Shucheng County was relatively poor, and that of part of Yuexi County and Lujiang County was good. Besides, during the studied period, the ecological environment in Hefei became worse, while that in the north of Feixi County and Lujiang County became better.[Conclusion]Overall, the reduction of vegetation cover and the expansion of construction land are the important factors leading to the decline of ecological quality in the Chaohu Basin.
引文
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[36] 张鹏.基于主成分分析的综合评价研究[D].南京:南京理工大学,2004.
[2] XU H Q,DING F,WEN X L.Urban expansion and heat island dynamics in the Quanzhou region,China [J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2009,2(2):74-79.
[3] 李喆,吴敏宁,何政伟,等.基于GIS和RS的自贡市长山盐矿区生态环境评价[J].物探化探计算技术,2011,33(2):222-226,110.
[4] GUPTA K,KUMAR P,PATHAN S K,et al.Urban Neighborhood Green Index-A measure of green spaces in urban areas[J].Landscape and urban planning,2012,105(3):325-335.
[5] ZHANG Y S,ODEH I O A,HAN C F.Bi-temporal characterization of land surface temperature in relation to impervious surface area,NDVI and NDSI,using a sub-pixel image analysis[J].International journal of applied earth observation and geoinformation,2009,11(4):256-264.
[6] IMHOFF M L,ZHANG P,WOLFE R E,et al.Remote sensing of the urban heat island effect across biomes in the continental USA[J].Remote sensing of environment,2010,114(3):504-513.
[7] MORAN M S,PETERS-LIDARD C D,WATTS J M,et al.Estimating soil moisture at the watershed scale with satellite-based radar and land surface models[J].Canadian journal of remote sensing,2004,30(5):805-826.
[8] 张燕,隋传国,张瑞瑾,等.基于GIS的长海海域环境信息分析[J].安徽农业科学,2018,46(12):61-63,76.
[9] GOWARD S N,XUE Y K,CZAJKOWSKI K P.Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:An exploration with the simplified simple biosphere model[J].Remote sensing of environment,2002,79(2 /3):225-242.
[10] 国家环境保护总局.生态环境状况评价技术规范(试行):HJ/T 192—2006 [S].北京:中国环境科学出版社,2006.
[11] 张衍华,毕建杰,高珂歆,等.基于遥感和GIS的泰安市生态环境评价及动态监测研究[J].山东气象,2012,32(1):1-5.
[12] 胡宝荣.基于遥感与GIS技术的汶川县地震前后生态环境质量评价[D].成都:成都理工大学,2009.
[13] 徐涵秋.城市遥感生态指数的创建及其应用[J].生态学报,2013,33(24):7853-7862.
[14] 徐涵秋.区域生态环境变化的遥感评价指数[J].中国环境科学,2013,33(5):889-897.
[15] 徐涵秋.水土流失区生态变化的遥感评估[J].农业工程学报,2013,29(7):91-97.
[16] CHANDER G,MARKHAM B L,HELDER D L.Summary of current radiometric calibration coefficients for Landsat MSS,TM,ETM+,and EO-1 ALI sensors[J].Remote sensing of environment,2009,113(5):893-903.
[17] CHAVEZ P S,JR.Image-based atmospheric corrections-revisited and revised[J].Photogrammetric engineering and remote sensing,1996,62(9):1025-1036.
[18] 徐涵秋.基于影像的Landsat TM/ETM+数据正规化技术[J].武汉大学学报(信息科学版),2007,32(1):62-66.
[19] IVITS E,CHERLET M,MEHL W,et al.Estimating the ecological status and change of riparian zones in Andalusia assessed by multi-temporal AVHHR datasets[J].Ecological indicators,2009,9(3):422-431.
[20] YUAN F,BAUER M E.Comparison of impervious surface area and normalized difference egetation index as indicators of surface urban heat islandeffects in Landsat imagery[J].Remote sensing of environment,2007,106(3):375-386.
[21] NICHOL J.Remote sensing of urban heat islands by day and night[J].Photogrammetric ngineering and remote sensing,2005,71(6):613-621.
[22] ZHAO Y L,ZHANG L J.Study on method of quantitative assessment of fragile environment[J].Scientia geographica sinica,1998,18(1):73-79.
[23] CRIST E P.A TM tasseled cap equivalent transformation for reflectance factor data[J].Remote sensing of environment,1985,17(3):301-306.
[24] HUANG C Q,WYLIE B K,YANG L M,et al.Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance[J].International journal of remote sensing,2002,23(8):1741-1748.
[25] TODD S W,HOFFER R M.Responses of spectral indices to variations in vegetation cover and soil background[J].Photogrammetric engineering and remote sensing,1998,64(9):915-921.
[26] 李博伦,遆超普,颜晓元.Landsat 8陆地成像仪影像的缨帽变换推导[J].测绘科学,2016,41(4):102-107.
[27] RIKIMARU A,ROY P S,MIYATAKE S.Tropical forest cover density mapping[J].Tropical ecology,2002,43(1):39-47.
[28] XU H Q.A new index for delineating built-up land features in satellite imagery[J].International journal of remote sensing,2008,29(14):4269-4276.
[29] WILLIAMS D.Landsat 7 Science Data Users Handbook [M/OL].(2012-09-05)[2019-01-15].http://landsathandbook.gsfc.nasa.gov/handbook.html.
[30] REZA M I H,ABDULLAH S A.Regional Index of Ecological Integrity:A need for sustainable management of natural resources[J].Ecological indicators,2011,11(2):220-229.
[31] Landsat Project Science Office.Landsat 7 science data user's handbook [M].Washington,DC:Goddard Space Flight Center,NASA,2002.
[32] SOBRINO J A,JIMENEZ-MUNOZ J C,PAOLINI L.Land surface temperature retrieval from Landsat TM5[J].Remote sensing of enviroment,2004,90(5):434-440.
[33] 丁凤,徐涵秋.TM热波段图像的地表温度反演算法与实验分析[J].地球信息科学,2006,8(3):125-130.
[34] JIMéNEZ-MU?OZ J C,CRISTóBAL J,SOBRINO J A,et al.Revision of the single-channel algorithm for landsurface temperature retrieval from Landsat thermal-infrared data[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(1):339-349.
[35] 徐涵秋,林中立,潘卫华.单通道算法地表温度反演的若干问题讨论:以Landsat系列数据为例[J].武汉大学学报(信息科学版),2015,40(4):487-492.
[36] 张鹏.基于主成分分析的综合评价研究[D].南京:南京理工大学,2004.