地球信息科学学报
地毬信息科學學報
지구신식과학학보
GEO-INFORMATION SCIENCE
2014年
2期
314-319
,共6页
环境评价%生态环境质量%主成分变换%若尔盖县
環境評價%生態環境質量%主成分變換%若爾蓋縣
배경평개%생태배경질량%주성분변환%약이개현
environment assessment%eco-environmental quality%PCA%Ruoergai County
本文以2007、2009和2012年的5月和9月共6个时期的遥感影像,基于栅格数据和综合评价模型,对若尔盖县的生态环境质量状况进行了评价。首先,从影响生态环境质量的因子出发,选取归一化植被指数(NDVI)、地表温度、坡度、坡向、土地利用、湿度指数6项生态因子作为评价指标;然后,利用主成分分析法确定各评价指标的权重,根据综合指数评价模型计算出研究区的生态环境质量指数,同时,依据计算结果的大小把研究区的生态环境质量划分为优、良、中、差4个等级;最后,对若尔盖县的生态环境状况的空间分布规律进行分析。结果表明,2007-2012年若尔盖县生态环境质量良好,不同时相的生态环境综合指数的均值均在60左右,同时该区域的生态环境质量有变好的趋势;不同季节的评价结果稍有差异,但是同一季节不同年的变化趋势是一致的;不同等级的区域相间分布,较差区域主要集中在植被覆盖较差的区域,西北部居多,中部零星分布。
本文以2007、2009和2012年的5月和9月共6箇時期的遙感影像,基于柵格數據和綜閤評價模型,對若爾蓋縣的生態環境質量狀況進行瞭評價。首先,從影響生態環境質量的因子齣髮,選取歸一化植被指數(NDVI)、地錶溫度、坡度、坡嚮、土地利用、濕度指數6項生態因子作為評價指標;然後,利用主成分分析法確定各評價指標的權重,根據綜閤指數評價模型計算齣研究區的生態環境質量指數,同時,依據計算結果的大小把研究區的生態環境質量劃分為優、良、中、差4箇等級;最後,對若爾蓋縣的生態環境狀況的空間分佈規律進行分析。結果錶明,2007-2012年若爾蓋縣生態環境質量良好,不同時相的生態環境綜閤指數的均值均在60左右,同時該區域的生態環境質量有變好的趨勢;不同季節的評價結果稍有差異,但是同一季節不同年的變化趨勢是一緻的;不同等級的區域相間分佈,較差區域主要集中在植被覆蓋較差的區域,西北部居多,中部零星分佈。
본문이2007、2009화2012년적5월화9월공6개시기적요감영상,기우책격수거화종합평개모형,대약이개현적생태배경질량상황진행료평개。수선,종영향생태배경질량적인자출발,선취귀일화식피지수(NDVI)、지표온도、파도、파향、토지이용、습도지수6항생태인자작위평개지표;연후,이용주성분분석법학정각평개지표적권중,근거종합지수평개모형계산출연구구적생태배경질량지수,동시,의거계산결과적대소파연구구적생태배경질량화분위우、량、중、차4개등급;최후,대약이개현적생태배경상황적공간분포규률진행분석。결과표명,2007-2012년약이개현생태배경질량량호,불동시상적생태배경종합지수적균치균재60좌우,동시해구역적생태배경질량유변호적추세;불동계절적평개결과초유차이,단시동일계절불동년적변화추세시일치적;불동등급적구역상간분포,교차구역주요집중재식피복개교차적구역,서북부거다,중부령성분포。
Compared with traditional methods for eco-environmental assessment, the method based on remote sensing imagery is more convenient and does not require huge amounts of statistical data. Satellite remote sens-ing has the advantages of efficient, economical, macro and dynamic monitoring of land surface and therefore is an excellent way in providing data for eco-environmental assessment. Scholars have deeply studied how to ex-tract ecological environment factors from remotely sensed data. In this paper, normalized difference vegetation index (NDVI), land surface temperature, slope, aspect, land use and wetness index were selected as evaluation factors, and the eco-environmental quality of Ruoergai County of Sichuan Province in the years of 2007, 2009 and 2012 is assessed based on multi-sources remote sensing images (TM, HJ1B CCD1/CCD2, ASTER GDEM, and MODIS) and GIS technology. Firstly, the evaluation factors were extracted from remote sensing images. Sec-ondly, based on principal component analysis (PCA) method, the weight of each factor was determined and used to calculate the eco-environmental quality index of Ruoergai County with the comprehensive index evaluation model. Thirdly, according to the eco-environmental quality index, the study area is divided into four regions that are marked with four different degrees which corresponds to excellent quality, good quality, general quality and poor quality. Finally, the spatial analysis was integrated into the eco-environmental quality assessment. The re-sult shows:(1) the global eco-environmental quality of Ruoergai County is at the level of good quality, for all of the average quality indexes of 2007, 2009 and 2012 are around 60 which represents good quality. (2) For a given year, the average and minimum values of eco-environmental quality index in September are both larger than that in May. (3) The ecological environment in the east region and middle region is better, while the northwest region is worse than others.